17Nov

Reference Data Specialist at JPMorgan Chase & Co. – Bengaluru, Karnataka, India


You are a strategic thinker passionate about driving solutions in Static team (Receivables). You have found the right team

Job Responsibilities

  • Task Execution: Each staff member is responsible for executing assigned tasks, which include setting up client records, maintaining work logs, and investigating exceptions. This requires attention to detail and organizational skills.
  • Data Management: Responsible for accurately adding and updating client information in various systems and mainframes. This involves ensuring data integrity and accuracy.
  • Workflow Management: Manage the workflow of Business As Usual (BAU) tasks, handling requests from Customer Service Officers (CSOs), the Implementation Team, and other internal departments. This requires effective time management and prioritization skills.
  • Timely Processing: Ensure that work is processed within established timeframes and meets necessary controls and targets. This involves adhering to deadlines and quality standards.
  • Communication: Interact with Lines of Business and internal clients, including senior personnel, via telephone or email. Strong communication skills are essential for this aspect of the role.
  • Query Resolution: Respond to queries received via email and prioritize resolving client issues. This requires problem-solving skills and a customer-focused approach.
  • Project Work: Work on various BAU projects as assigned, ensuring timely completion. This involves flexibility and the ability to manage multiple tasks.
  • Process Improvement: Identify ways to improve current work practices and handle any required backup tasks related to production. This requires a proactive approach to process optimization.
  • Investigation: Conduct extensive investigations at the transaction and aging level. This involves analytical skills and attention to detail.
  • Team Contribution: While the role has individual responsibilities, there is an expectation to contribute to the team’s goals and Service Level Agreements (SLAs).

Required qualifications, capabilities and skills

  • Strong English written and verbal communication skills are essential. This is crucial for effective interaction with clients and colleagues, as well as for documentation and reporting.
  • A graduate with 0-1 years of experience in a bank operations environment is required. While this is an entry-level position, knowledge of cash and trade products is advantageous, suggesting a preference for candidates with some familiarity with banking products.
  • Ability to analyze information and pay close attention to detail is important. This ensures accuracy and thoroughness in handling banking operations.
  • Being highly organized and able to meet deadlines are key strengths. This is important for managing tasks efficiently in a fast-paced environment.
  • A high level of client centricity, sound communication, and solution orientation are required. This indicates a focus on providing excellent service and resolving client issues effectively.
  • Technical Skills: Excellent PC skills, particularly proficiency with the MS Office suite, especially MS Excel, are necessary. This suggests that data analysis and reporting are part of the role.
  • Excellent interpersonal skills are needed to work effectively with colleagues and clients, fostering positive relationships.
  • The ability to ask questions and pursue open issues assertively until resolution is important. This requires a proactive and professional approach to problem-solving.
  • Willingness to work in WHEM Shift (7:30 PM to 4:30 AM).

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.



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17Nov

Stage Data Engineer H/F at Devoteam – Nantes, France


Description de l’entreprise

A Cloud, l’entité AWS du groupe Devoteam, est un cabinet de conseil de premier plan dans l’accompagnement des entreprises vers une adoption réussie du Cloud. Partenaire stratégique d’AWS depuis 2013, nous aidons nos clients à devenir des entreprises centrées sur la donnée en tirant profit de la puissance du cloud. Pour atteindre cet objectif, la data engineering joue un rôle clé. 

En construisant et en optimisant les pipelines de données, les data engineers permettent aux entreprises d’exploiter pleinement leur potentiel analytique. Leur rôle crucial dans la collecte, le stockage et le traitement des données garantit une base solide pour les décisions stratégiques et l’innovation continue chez nos clients.

Description du poste

Afin de renforcer nos équipes Data à l’Ouest, nous sommes à la recherche d’un consultant Data Engineer en stage souhaitant rejoindre un collectif de 30 consultants spécialisés en data et cloud engineering à Nantes.

👉🏻 Missions

  • Monter en compétence sur les stacks data de nos clients, accompagné par nos consultant·e·s plus séniors,

  • Collaborer avec le métier pour concevoir des transformations data pertinentes pour le business,

  • Industrialiser et gérer des pipelines de traitement de données en production,

  • Participer à l’implémentation d’évolutions des plateformes data de nos clients,

  • Participer aux cérémonies Agiles chez les clients sous la direction du Product Owner.

👉🏻 Déroulé du stage

Votre objectif premier sera de monter en compétence. Pour ce faire, nous pratiquons la méthodologie Learning by doing

Durant ces 6 mois de stage, vous aurez : 

  • 1 jour par semaine dédié à l’auto formation par le passage de certifications sur certaines technologies mentionnées précédemment. 

  • 4 jours par semaine dédiés à la réalisation de tâches pour un projet client ciblé. 

Afin de cadrer votre montée en compétence, un tuteur assurera votre suivi dans vos missions quotidiennes. 

Qualifications

👉🏻 Compétences 

En tant que Stagiaire Data Engineer, vous possédez une ou plusieurs des compétences suivantes : 

  • Le langage SQL

  • Le langage objet (Python, JAVA, Scala)

  • Un framework de calcul distribué (Spark, Databricks)

  • L’intégration continue (Git, SonarQube, Jenkins)

  • L’infrastructure as code (Terraform, Github action)

  • Un cloud provider (AWS, GCP, Azure)

👉🏻 Profil recherché 

Nous recherchons un.e étudiant.e en dernière année de cycle ingénieur ou équivalent Bac +5.

👉🏻 Rémunération

Nous rémunérons nos consultants en stage de fin d’étude à hauteur de 1500€ brut par mois.

Informations supplémentaires

👉🏻 Avantages

Pour faire de notre collaboration un succès, nous vous proposons :

  • 🤓 Un compte AWS dédié par consultant pour expérimenter au gré de votre imagination

  • 📈 Une trajectoire sur mesure que nous élaborons ensemble

  • 🎓 Des accès gratuits et illimités à des plateformes E-learning pour monter en compétences sur les technos que vous jugez prometteuses (Udemy / Cloud Guru / WhizLabs)

  • 🏡 Une politique de télétravail flexible avec remboursement de certains frais

  • 💻 Laptop au choix (Mac ou Windows)

👉🏻 Process de recrutement

Le processus de recrutement se déroule en trois étapes :

  1. Un premier contact téléphonique pour échanger sur les modalités du poste.

  2. Un échange RH pour apprendre à vous connaître et comprendre votre projet professionnel, ainsi que pour vous présenter l’entreprise et notre vision.

  3. Un échange technique pour challenger vos compétences et votre adéquation pour ce poste.

  4. Un entretien avec le Tribe Manager et le commerce pour se projeter ensemble sur votre trajectoire professionnelle.

 

Ce qui fait la différence chez Devoteam, c’est notre façon de :

  • Partager ouvertement, largement et délibérément les informations.

  • Encourager les prises de décision autonomes de la part des collaborateurs et collaboratrices.

  • Être particulièrement sincères les uns avec les autres.

  • Ne collaborer sur le long terme qu’avec des collaborateurs et collaboratrices hautement compétent·es et ayant un impact positif sur le collectif.

  • Toujours rechercher une “meilleure façon” de faire les choses.

  • Être ouvert·e d’esprit aux idées changeantes et aux approches nouvelles.

Devoteam s’engage à promouvoir la diversité et est fier de favoriser l’égalité des chances au sein de l’entreprise. Chaque candidature est considérée sans tenir compte de l’origine, de la couleur de peau, de la religion, du genre, de l’identité de genre, de l’orientation sexuelle, du handicap, des caractéristiques génétiques ou de l’âge.

Parce que nous voulons que le savoir soit utile au plus grand nombre, nous croyons à l’inclusion de toutes et tous.



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17Nov

Conversational AI Developer- Senior Associate at PwC – Bangalore (SDC) – Bagmane Tech Park


Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

As part of our Analytics and Insights Consumption team, you’ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You’ll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights.

Years of Experience: Candidates with 4+ years of hands on experience

Required Skills:

  • Familiarity with the Conversational AI domain, conversational design & implementation, customer experience metrics, and industry-specific challenges  

  • Understanding of conversational (chats, emails and calls) data and its preprocessing (including feature engineering if required) to train Conversational AI systems. 

  • Strong problem-solving and analytical skills to troubleshoot and optimize conversational AI systems. 

  • Familiarity with NLP/NLG techniques such as parts of speech tagging, lemmatization, canonicalization, Word2vec, sentiment analysis, topic modeling, and text classification. 

  • NLP and NLU Verticals Expertise: Text to Speech (TTS), Speech to Text (STT), SSML modeling, Intent Analytics, Proactive Outreach Orchestration, OmniChannel AI & IVR (incl. Testing), Intelligent Agent Assist, Contact Center as a Service (CCaaS), Modern Data for Conversational AI and Generative AI. 

  • Experience building chatbots using bot frameworks like RASA/ LUIS/ DialogFlow/Lex etc. and building NLU model pipeline using feature extraction, entity extraction, intent classification etc.  

  • Understanding and experience on cloud platforms (e.g., AWS, Azure, Google Cloud, Omilia Cloud Platform, Kore.ai, OneReach.ai, NICE, Salesforce, etc.) and their services for building Conversational AI solutions for clients 

  • Expertise in Python or PySpark. R and JavaScript framework. 

  • Expertise in visualization tools such as Power BI, Tableau, Qlikview, Spotfire etc. 

  • Experience with evaluating and improving conversational AI system performance through metrics and user feedback 

  • Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. 

  • Proven track record of successfully delivering conversational AI projects on time

  • Familiarity with Agile development methodologies and version control systems. 

  • Ability to stay updated with the latest advancements and trends in conversational AI technologies. 

  • Strong strategic thinking and ability to align conversational AI initiatives with business goals. 

  • Knowledge of regulatory and compliance requirements related to conversational AI applications 

  • Experience in the telecom industry or a similar field 

  • Familiarity with customer service operations and CRM systems 

Nice to Have:  

  • Familiarity with data wrangling tools such as Alteryx, Excel and Relational storage (SQL)

  • ML modeling skills: Experience in various statistical techniques such as Regression, Time Series Forecasting, Classification, XGB, Clustering, Neural Networks, Simulation Modelling, Etc.

  • Experience in survey analytics, organizational functions such as pricing, sales, marketing, operations, customer insights, etc.

  • Understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data.  

Good Communication and presentation skills

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

0%

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date



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16Nov

Manager, Customer Data at Michael Kors – NY Metro Area


Michael Kors is always interested in hearing from talented, globally-minded individuals with a passion for fashion.

If you enjoy working in a creative, fast-paced environment, then we would love to hear from you!

Who You Are:
As the Manager, Customer Data you are the business owner of Michael Kors’s Consolidated Customer Data Lake and CRM systems. Customer data is a strategic asset leveraged to inform Merchandising, Planning, Allocation, CRM, Digital Marketing, Retail Marketing, and Brand Marketing decisions as well as to identify opportunities to drive growth and efficiencies across the Capri portfolio of brands. 

You will be responsible for managing the customer data life cycle – acquisition, ingestion, management, enhancement, quality, privacy, access – for Michael Kors. You will work closely with the Advanced Analytics, CRM, Data Engineering, and IT teams on automation, implementation of advanced analytics algorithms, and supplying customer data feeds to downstream systems. 

What You’ll Do: 

  • Manage day-to-day operations and development activities within the customer data. 

  • Implement and support new technological integrations, upgrades, and ingestion of new customer data sources by building business requirements, overseeing development, and validating data between systems, ensuring accuracy and efficiency. 

  • Manage third-party data vendor(s) for Name and Address standardization as well as data enhancements.

  • Maintain a strong understanding of Michael Kors’s data capabilities and infrastructure. 

  • Subject matter expert on Michael Kors customer data, reports on the Customer Database, and maintains the Customer Data Dictionary.  Key point of contact for best practices for business partners. 

  • Works with Data Engineering to implement new business variables and tables as well as advanced analytics algorithms in Michael Kors Analytics and Reporting Environment.

  • Executes all Customer Data Privacy requests, including those associated with GDPR, CCPA, Stores, Legal, and Customer Service.  

  • Manage a team of two Customer Data Analysts, conducting regular check-ins and supporting the long-term career development of team members.

You’ll Need to Have: 

  • Bachelor’s degree in Computer Science, Economics, Math, Statistics, or related field

  • 3-5+ years in data and analytics role with experience owning projects from inception to delivery

  • 3+ years’ experience with Customer Data

  • 1+ years’ experience direct management of 1+ team members

  • 1+ years’ experience with external vendor management

  • Proficiency in SQL and R / Python 

  • Ability to translate data concepts across and between business-focused and technology-based partners and colleagues

  • Excellent project execution capabilities; strong attention to detail; able to define timelines and ensure projects stay on-track. 

  • Advanced proficiency in Microsoft Office products (Word, Excel, and PowerPoint).

We’d Love to See: 

  • Familiarity with email, loyalty and/or web interaction data

  • Familiarity with third party enhancement vendors 

Perks:

  • Generous Paid Time Off & Holiday Schedule 

  • Summer Fridays

  • Internal mobility across Versace, Jimmy Choo and Michael Kors 

  • Cross-brand Discount

  • Exclusive Employee Sales

  • Fav 5 Cards (MK Discount for friends and family)

  • 401k Match

  • Paid Parental Leave

  • Thrive Wellness Program 

  • Commuter Benefits

  • Gym Discounts

At Capri, we are all responsible for creating a diverse and inclusive workplace. We try to inspire change and growth within each other and believe success is a result that comes from our differences. Capri is proud to be an equal opportunity employer committed to inclusivity regardless of age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law. M/D/F/V

At Capri Holdings Limited, our commitment to inclusivity and accessibility begins with the candidate experience. If you require a reasonable accommodation for the interview or application process, please contact our Diversity and Inclusion team at

Ca************************@Ca***********.com











.

In compliance with certain Pay Transparency laws, employers are required to disclose a salary range.  The salary for this position will vary based on role requirements, skill set and years of experience.

Compensation Range: 

$0.00-$0.00



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16Nov

STEMROBO Innovation Engineer at STEMROBO Technologies – Gujarat, Ahmedabad, India


 Developing Strong Expertise in the Field of Embedded Systems, Microcontroller, Robotics, Firmware/Programming around 8 Bit/32 bit microcontrollers and IoT based sensors. 

 To nurture Innovation and Creativity at K12 School Level students by mentoring and helping them to develop Innovative Embedded Projects with the use of technology in delivery of curricula through a variety of instructional methods (hardware, software and Internet resources in support of learning). 

 Organizes, develops, and coordinate special STEM Engineering and Technology based events/activities. 

 Always willing to innovate newer Technologies like Internet of Things (IoT), Machine Learning, Virtual Reality (VR), Augmented Reality (AR), and Advanced Processor Programming. 

 Eager to learn new technologies and methodologies. 

 Strong team player and ability to work cooperatively and effectively with others in team. 

 Strong in verbal and written communication. 

 Good organizational and time management skills.  Improve the existing technology.

Qualifications: 

 B.Tech in ECE, CS, EEE, MSc Electronics or equivalent preferred. 

 Experience: 0-2 years 

 Specific skills- Basic Electronics, Arduino Uno Microcontroller. 

 Good to have Knowledge of Raspberry Pi, IoT Sensors, ARM Processor, Node MCU etc. 

 Language- Basics of C, C++.



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16Nov

Manager, Research Scientist Management at ServiceNow – Montreal, QUEBEC, Canada


Company Description

Tout a commencé sous le soleil de San Diego, en Californie, en 2004, lorsqu’un ingénieur visionnaire, Fred Luddy, a vu le potentiel de transformer notre façon de travailler. Aujourd’hui, ServiceNow se présente comme un leader mondial du marché, apportant une technologie innovante améliorée par l’IA à plus de 8 100 clients, dont 85% des entreprises du Fortune 500®. Notre plateforme intelligente basée sur le nuage connecte de manière transparente les personnes, les systèmes et les processus pour permettre aux organisations de trouver des méthodes de travail plus intelligentes, plus rapides et meilleures. Mais ce n’est que le début de notre voyage. Joignez-vous à nous dans la poursuite de notre objectif de rendre le monde meilleur pour tous.

######

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

Team:

ServiceNow conducts research to advance AI capabilities for enterprises. You will be part of the ServiceNow AI Research group in the Product organization.

Role:

As a manager, you will manage, coach and guide the researchers, specifically focusing on generative AI. You will suport the research lead of a research Lab or program in building the team’s roadmap and acheiving the teams goal Additionally, you may conduct your research or participate in ongoing research projects. Your contributions to knowledge generation and transfer will help maintain our scientific credibility within the academic community and our impact on the ServiceNow products.

What you get to do in this role:

You will be responsible for managing a team of 5 to 10 researchers and engineers, in collaboration with the research leads.  You will be responsible of the growth, development  and wellbeing of the team and will provide tactical and operational support to the research leads. You will have the opportunity to conduct your own research or participate to transfer activities of the AI Research team.

Qualifications

To be successful in this role, we need someone who has:

  • A Ph.D. in a related field is a plus.
  • A collaborative mindset with a focus on completing tasks and a drive to push the boundaries of knowledge and understanding.
  • Experience in managing projects and people.
  • An understanding and interest in software product development and innovation.
  • A record of contributing to research communities and efforts, including publishing papers in top international conferences such as NeurIPS, ICLR, ICML, ACL, EMNLP, CVPR, etc.
  • Proficiency in scientific programming with Python and Numpy, and optionally, also with Java, JavaScript, or R.
  • Proficiency in deep learning programming with Pytorch.
  • An willingness to build a strong inclusive team culture.

Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!

Additional Information

Work Personas 

Nous adoptons une approche basée sur la flexibilité et la confiance vis-à-vis de notre monde du travail distribué. Les personas de travail (flexibles, à distance ou requis au bureau) sont des catégories qui sont attribuées aux employés de ServiceNow en fonction de la nature de leur travail. Cliquez ici pour en savoir plus

Equal Opportunity Employer 

ServiceNow est un employeur qui souscrit au principe de l’égalité d’accès à l’emploi. Tous les candidats qualifiés recevront une considération pour l’emploi sans égard à la race, la couleur, la croyance, la religion, le sexe, l’orientation sexuelle, l’origine nationale ou la nationalité, l’ascendance, l’âge, le handicap, l’identité ou l’expression de genre, l’état matrimonial, le statut d’ancien combattant ou toute autre catégorie protégée par la loi. De plus, tous les candidats qualifiés ayant des antécédents d’arrestation ou de condamnation seront pris en considération pour un emploi conformément aux exigences légales. 

Accommodations 

Nous mettons tout en œuvre offrir une expérience accessible et inclusive pour tous les candidats. Si vous avez besoin d’une mesure d’adaptation raisonnable pour compléter une partie du processus de candidature ou si vous n’êtes pas en mesure d’utiliser cette candidature en ligne et que vous avez besoin d’une autre méthode pour postuler, veuillez communiquer avec 

gl************@se********.com











pour obtenir de l’aide. 

Export Control Regulations 

Pour les postes nécessitant l’accès à une technologie contrôlée assujettie aux règlements sur les contrôles à l’exportation, y compris les U.S. Export Administration Regulations (EAR), ServiceNow peut être tenu d’obtenir l’approbation des autorités gouvernementales en matière de contrôle des exportations pour certaines personnes. Tout emploi est subordonné à l’obtention par ServiceNow d’une licence d’exportation ou d’une autre approbation qui pourrait être requise par les autorités de contrôle des exportations compétentes. 

Extrait de Fortune. ©2024 Fortune Media IP Limited. Tous droits réservés. Utilisé sous licence. 

######

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact

gl************@se********.com











for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license. 



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16Nov

Lecturer (Industrial Automation) – School Of Engineering at The Singapore Public Service – Ngee Ann Polytechnic, Clementi Campus


Job Description Summary
[What the role is]

This is a 2-year contract position as a Lecturer, Industrial Automation in the School of Engineering.

[What you wil be working on]

As a Lecturer in Industrial Automation, you will be responsible for delivering education in automation. The ideal candidate should have expertise in programming industrial controllers such as PLCs, designing Human Machine Interfaces (HMIs), and integrating third-party components like vision cameras, smart sensors, actuators, and motor drives to develop comprehensive automation systems. This role also involves connecting these systems to an Industrial Internet of Things (IIoT) gateway using communication protocols such as OPC UA to monitor machine status and calculate Overall Equipment Effectiveness (OEE). Experience in implementing protection functions within the operational technology (OT) environment would be highly beneficial.

In addition to these responsibilities, you will develop and assess student assignments, support student learning through mentoring, and manage course-related administrative tasks. You will also supervise final year projects, lead technology initiatives, and spearhead industry collaborations. The role requires a strong background in Mechatronics, Robotics, or Automation, with proficiency in programming languages such as PLC IEC61131-3, C/C++, or Python. A passion for education, strong communication skills, and a commitment to staying current with industry trends are essential.

Your responsibilities will include, but are not limited to, the following:

  • Prepare and update teaching materials, as well as conducting lectures, tutorials, and workshops in programming industrial controllers, such as Programmable Logic Controllers (PLC), designing and implementing Human Machine Interfaces (HMI), integrating third-party components such as Vision Cameras, Smart Sensors, actuators, and motor drives to create an automated system. In addition, teach how to connect these components to an Industrial Internet of Things (IIoT) gateway using communication protocols like OPC UA to monitor machine performance and calculate Overall Equipment Effectiveness (OEE). There will also be opportunities to cover the implementation of protection functions within the operational technology (OT) environment.

  • Develop, set, and mark assignments, projects, quizzes, and tests related to the assigned module(s) and maintain records of student attendance and grades. Additionally, you will support student learning and development through consultations and mentoring.

  • Undertake administrative tasks related to course management.

  • Lead and train students in local and overseas competitions.

  • Lead overseas trips for study programs, overseas immersion programs, and youth expedition programs.

  • Involve in technology projects as a final year project supervisor, or as a member or principal investigator.

  • Spearhead and identify new opportunities for collaboration with industry partners.

  • Work on industry or consultancy projects, including those involving the deployment of robots, to stay relevant in your profession.

  • Support student development through mentoring, guidance, and fostering a positive learning environment.

[What we are looking for]

  • Relevant qualifications in Electrical Engineering, Mechanical Engineering, Mechatronics Engineering, Computer Engineering, or related disciplines.

  • At least 3 years of experience in Mechatronics/Robotics, Automation using Programmable Logic Controllers and familiar with production digitalisation technology (such as industrial IoT, RFID, PLC web-server, Cyber Security, Vision Systems)

  • Experience in the following programming languages: PLC IEC61131-3, C/C++, or Python.

  • Passionate about education and possess a strong interest in nurturing, teaching, mentoring, and interacting with students.

  • Good communication and interpersonal skills.

  • Self-driven, independent, and possess readiness to work as a team.

  • Ability to develop curriculum content and deliver hands-on laboratory sessions effectively.

  • Commitment to keeping up with industry trends and incorporating new technologies into the teaching process.



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15Nov

Senior GCP Platform Engineer at ING – CDR (Amsterdam – Cedar)


Think Forward! Our purpose is to empower people to stay a step ahead in life and in business. We are an industry recognized strong brand with positive recognition from customers in many countries, strong financial position, omni-channel distribution strategy and international network. If you want to work at a place with lots of freedom to innovate, where we believe that you can live by the Agile manifesto without jeopardizing the necessary continuity, compliance and QA measures, where we are committed to deliver stable and secure services to end users, and where we have a getting-things done mentality, please read on! 

 

Job description 

As a GCP Platform Engineer, you will help develop the data-driven products that the Analytics Engineering (AE) organization builds. Within the AE organization, we use agile, lean and design thinking methodologies to launch new initiatives within or outside of ING. 

ING is now building its Data Analytics Platform in Google Cloud! It is to help ING to be even more data driven. This is a joined effort between ING units, and you are going to be part of a distributed multi-national and multi-cultural team. There is plenty of work and fun down this road. 

Your passion is to work with the latest and greatest technologies that make working with large amounts of data easy, you are proactive in keeping yourself up to date and trying everything out. You also enjoy laying the architectural foundations for the things you are AE e working on while aligning the business problem with the right technology. You combine both thinking of the future and a hands-on, right-now attitude. You can identify on which fronts a team can grow and will help them get there. You will work in a team with highly skilled people and enjoy a creative atmosphere where trying things out is encouraged. 

 

Your work environment 

The Analytics Engineering organization is composed of around 110 people that have the mission to make ING data driven. We do this by combining UX research and engineering with data science to deliver high-value solutions and products for our organization. We work in a fun and creative environment, and we are dedicated to bringing out the best in both each other and our projects. We have offices in Amsterdam (head office), London, Warsaw, Katowice, and Bucharest. 

 
 

We are looking for you if: 

  • You have built platforms on top of GCP using managed services like Cloud Run, Vertex AI, GKE,  BigQuery and Dataproc or similar 

  • You have an Infrastructure as Code mindset (Our tech stack: Terraform with Azure DevOps pipelines), 

  • You can clearly express ideas, facts and opinions. Experience elaborating complex ideas as part of design pages, which makes you great to collaborate with. 

  • Understanding of networking concepts, including VPC, DNS, load balancing, and firewalls. 

 

 

 
You’ll get extra points for: 

  • You have knowledge in secure authentication and encrypted workloads (OIDC, KMS, client/server SSL/TLS and etc)  

 

 
Additional skills: 

 
Your responsibilities: 

 
 

Rewards and benefits

We want to make sure that it’s possible for you to strike the right balance between your career and your private life. You can find out more about our employment conditions at https://www.ing.jobs/netherlands/Why-ING/benefits.htm

The benefits of working with us at ING include:

  • A salary tailored to your qualities and experience

  • 24-27 vacation days depending on contract

  • Pension scheme

  • 13th month salary

  • Individual Savings Contribution (BIS), 3.5% of your gross annual salary

  • 8% Holiday payment

  • Hybrid working to blend home working for focus and office working for collaboration and co-creation

  • Personal growth and challenging work with endless possibilities

  • An informal working environment with innovative colleagues

About us

With 60,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business. Do you want to work at the cutting edge of what’s possible and at the same time ensure you work with integrity and hold the customer’s interests at heart? Do you want to be surrounded by progressive, inspiring, diverse and supportive colleagues? Then there is no better place to invest your talents than at ING. Join us. Apply today.



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15Nov

Technology & Transformation- EAD- Engineering- AWS Data Engineer (Consultant/Senior Consultant) at Deloitte – Bengaluru, IN


What impact will you make?

 

Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential

 

Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential.

 

The Team
 

Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.

Learn more about Analytics and Information Management Practice

 

Work you’ll do

 

As a Senior Consultant in our Consulting team, you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations. You’ll:

 

We are seeking experienced AWS Data Engineers to design, implement, and maintain robust data pipelines and analytics solutions using AWS servcies. The ideal candidate will have a strong background in AWS data services, big data technologies, and programming languages.

 

Key Responsibilities:

1. Design and implement scalable, high-performance data pipelines using AWS services

2. Develop and optimize ETL processes using AWS Glue, EMR, and Lambda

3. Build and maintain data lakes using S3 and Delta Lake

4. Create and manage analytics solutions using Amazon Athena and Redshift

5. Design and implement database solutions using Aurora, RDS, and DynamoDB

6. Develop serverless workflows using AWS Step Functions

7. Write efficient and maintainable code using Python/PySpark, and SQL/PostgrSQL

8. Ensure data quality, security, and compliance with industry standards

9. Collaborate with data scientists and analysts to support their data needs

10. Optimize data architecture for performance and cost-efficiency

11. Troubleshoot and resolve data pipeline and infrastructure issues

 

Required Qualifications:

1. bachelor’s degree in computer science, Information Technology, or related field

2. Relevant years of experience as a Data Engineer, with at least 60% of experience focusing on AWS

3. Strong proficiency in AWS data services: Glue, EMR, Lambda, Athena, Redshift, S3

4. Experience with data lake technologies, particularly Delta Lake

5. Expertise in database systems: Aurora, RDS, DynamoDB, PostgreSQL

6. Proficiency in Python and PySpark programming

7. Strong SQL skills and experience with PostgreSQL

8. Experience with AWS Step Functions for workflow orchestration

9. Familiarity with data modeling and schema design

10. Knowledge of data security and compliance requirements

11. Excellent problem-solving and analytical skills

12. Strong communication and collaboration abilities

 

Preferred Qualifications:

1. AWS Certified Data Analytics – Specialty

2. AWS Certified Solutions Architect – Associate or Professional

3. Experience with real-time data processing using Kinesis or Kafka

4. Knowledge of machine learning workflows on AWS (e.g., SageMaker)

5. Familiarity with containerization technologies (Docker, Kubernetes)

6. Experience with CI/CD pipelines and infrastructure-as-code (e.g., CloudFormation, Terraform)

 

Technical Skills:

– AWS Services: Glue, EMR, Lambda, Athena, Redshift, S3, Aurora, RDS, DynamoDB, Step Functions

– Big Data: Hadoop, Spark, Delta Lake

– Programming: Python, PySpark

– Databases: SQL, PostgreSQL, NoSQL

– Data Warehousing and Analytics

– ETL/ELT processes

– Data Lake architectures

– Version control: Git

– Agile methodologies



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15Nov

Data Intelligence Manager at Publicis Groupe – Makati, Philippines


Company Description

Publicis Groupe is not just a company you work for; it’s a platform for you to take your talent to the world.

If you want to help change the world, ideas alone are not enough. Real impact can only come from having meaningful access to a world of knowledge, people and resources. At Publicis Groupe, you are connected to our global network, intelligence, tools, clients, brands and 80,000 brilliant minds with expertise in data, technology, media, strategy, creativity and business transformation, all literally at your fingertips.

Go ahead, the world is waiting.

Publicis Groupe is the third largest communications group in the world. Founded in Paris in 1926, we are present in more than 100 countries as leaders in marketing, communication, and digital business transformation. Two of its biggest solution hubs in Singapore – Publicis Communications and Publicis Media & Digital.

Publicis Communications, the creative communications hub of the Publicis Groupe, is a collective of the most passionate, purposeful, and progressive creative agencies in Singapore. They are Publicis Worldwide, Leo Burnett, Saatchi & Saatchi, Prodigious, and MSL.

Publicis Media & Digital, which is comprised of global media agency brands Starcom, Zenith, Spark Foundry, and Performics, is powered by digital-first, data-driven global practices that together, help our clients navigate the modern media landscape.

Our two other solution hubs, Publicis Sapient and Publicis Commerce, empower businesses to embrace digital transformation and equip them with a total commerce experience.

Job Description

The Research and Analytics Manager is part of the Publicis Media Data Intelligence team, responsible for supporting integrated data, research, reporting and analytics requirements through proprietary and syndicated products and solutions.  The thrust is to enhance operational efficiency and scale solutions, further bringing incremental value and growth to Publicis clients.

 

Primary Responsibilities:

  • Solve complex business challenges through advanced analytics such as Market Mix Modelling, Attribution Studies, Predictive Modelling, etc
  • Collaborate with media teams to understand needs and application of advanced analytical methods to enhance their strategies and campaigns
  • Manage analytics project stakeholders through requirements gathering, solution design, planning, implementation and reporting/presentation
  • Project management for research and analytics client requirements
  • Be the liaison for research projects, maintaining the relationship with our research partners
  • Develop and drive innovation for advanced analytics products and solutions through building proof-of-concepts models and being at the forefront of new tech, best practices, etc
  • Drive adoption of advanced analytics products and solutions across the agency
  • Oversee and mentor the senior research analyst in ensuring accurate and quality output

Qualifications

Qualifications and desired experience:

  • Strong analytical and critical-thinking skills with a data-driven approach to problem solving
  • Experience in R, Python and other programming languages a must
  • Strong knowledge and experience in statistical, machine-learning techniques and conducting quantitative analysis, regression analysis, predictive modelling, brand lift solutions etc
  • Well-versed with quantitative research – understanding of research designs and methodologies
  • Ability to analyze large and complex datasets and translate it to clear and compelling narratives
  • Knowledge of media advertising and the marketing industry highly preferred
  • Experience in various marketing analytics models such as Market Mix Modeling, Multi-touch attribution, highly preferred
  • Advanced Excel skills and expertise in business intelligence/data visualization platforms a plus
  • Strong presentation skills with ability to communicate and simplify complex ideas to both internal and external stakeholders and senior level clients and management
  • Demonstrated ability on project management, ensuring timely and accurate delivery of outputs

Additional Information

Our employee benefits package comprises the following:

👉 Generous leave entitlements, including birthday leave and emergency leave.

👉 Additional Day Off on Mental Wellness Month.

👉 Insurances on Day 1 plus free dependent

👉 A hybrid working schedule and with Friday disconnects.

👉 Rest Relax & Recharge – office closure around last week of December every year.



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