Category: FindAI Jobs

Skill required: Delivery – Search Engine Optimization (SEO)
Designation: Specialist
Qualifications:Any Graduation
Years of Experience:7 – 11 Years
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com
What would you do? Data & AI

In Search Engine Optimization, you will be responsible for analyzing a Web site’s search engine optimization effectiveness and develop and prioritize opportunities to improve the sites ranking in online search engines.
What are we looking for? • On & off Page Search Engine Optimization (SEO)
• Technical SEO
• Content Audit & Development
• Ability to work well in a team
• Ability to perform under pressure
• Adaptable and flexible
• Agility for quick learning
• Commitment to quality
Roles and Responsibilities: • In this role you are required to do analysis and solving of moderately complex problems
• May create new solutions, leveraging and, where needed, adapting existing methods and procedures
• The person would require understanding of the strategic direction set by senior management as it relates to team goals
• Primary upward interaction is with direct supervisor
• May interact with peers and/or management levels at a client and/or within Accenture
• Guidance would be provided when determining methods and procedures on new assignments
• Decisions made by you will often impact the team in which they reside
• Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture
• Please note that this role may require you to work in rotational shiftsAny Graduation

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Health Data Architect, Lead

The Opportunity:  

For an organization to transform in today’s digital world, it needs to properly collect, store, and organize its data. Effective data management can enable more efficient operations, yielding more growth. As a data architect, you know how to apply your creative-thinking and analytical mindset to help organizations manage their data assets. We’re looking for a data architecture lead like you to solve complex challenges and deliver leading-edge solutions for the nations public health.  

As a data architect on our team focused on federal health agency clients, you will play a critical role in designing and implementing the overall data architecture for the clients’ data ecosystems, ensuring that it meets the current and future needs of the government agency and its stakeholders. You’ll have a deep understanding of data modeling, data integration, and data management best practices, as well as expertise in designing scalable, secure, and performant data architectures for cloud-based environments. You will have the ability to analyze complex data requirements and design effective and efficient data architectures to meet those requirements, while collaborating closely with stakeholders.

Join us. The world can’t wait. 

You Have:

• 10+ years of experience with leading business process assessment, reengineering, or architectural development

• 7+ years of experience with cloud-based data platforms

• Experience with enterprise data warehouse solutions, including design, modeling, implementation, security and system administration

• Knowledge of data modeling, data integration, and designing scalable data architectures

• Knowledge of AWS cloud services, cloud architecture best practices, big data technologies and ETL processes within the AWS ecosystem

• Knowledge of SQL with scripting languages, such as Python or Scala

• Knowledge of AI/ML platforms and data requirements to facilitate the development of AI/ML models

• Ability to implement data governance and security policies, including customer-managed keys and VPCs

• Public Trust

• Bachelor’s degree in Computer Science, Data Science, or Information Technology

Nice If You Have:

• Experience with advanced data transformations using PySpark APIs

• Experience with management across AWS environments using Terraform

• Knowledge of Delta Lake

• Knowledge of platform administration on AWS, particularly with Databricks deployments

• Knowledge of Python in implementing classes and working within Databricks notebooks

• Ability to manipulate data in Delta Lake tables with SQL

• Ability to articulate complex data architecture topics with technical and non-technical audiences

• AWS Certified Solutions Architect or Databricks Certified Data Engineer Associate Certifications

Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; Public Trust determination is required.

  

Create Your Career: 

Grow With Us 

Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.  

A Place Where You Belong 

Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll build your community in no time. 

Support Your Well-Being 

Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.  

Your Candidate Journey 

At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.  

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $96,600.00 to $220,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

EEO Commitment

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

   

Associate Manager – Business Intelligence

Department – Commercial Analytics, GBS

 

Location: Bangalore

 

Job level: 7

 

Are you looking for a challenging role where you can support strategic development and drive continuous improvements? Are you ready to take on operational responsibility and manage tasks within our Commercial Analytics team? If you are passionate about delivering high-quality service and making a difference, then this Associate Manager position at Novo Nordisk is the perfect opportunity for you. Read on and apply today for a life-changing career.

 

About the department

The Commercial Analytics team is part of Finance Global Business Services (GBS) at Novo Nordisk in Bangalore. Established in 2007, Finance GBS is responsible for supporting various finance functions globally. The Commercial Analytics team, founded in 2013, aims to provide dedicated analytics professionals to deliver best-in-class services and insights to the global organization. Our team is committed to delivering superior service, standardization, and efficiency.

As an Associate Manager at Novo Nordisk, you will have the following responsibilities:

• Support the strategic development of Commercial Analytics services within the unit. Take operational responsibility and manage tasks within the GBS CA.
• Operational responsibility and Management task within GBS CA.
• Drive continuous improvements on supported business processes to comply with the CA Strategy.
• Ensure a high level of service, quality, efficiency, effectiveness, and end-user friendliness.
• Optimize processes and increase productivity. Collaborate with stakeholders to develop process competences and solutions.
• Manage contracts, service level agreements, and addendums. Create awareness about department capabilities and manage team growth.
• Drive team performance to ensure customer satisfaction. Ensure onboarding and relevant training of new employees in the department.

To be successful in this role, we are looking for a candidate with the following qualifications:

• Master’s degree in a relevant field.
• Proven experience in operational management and process improvement.
• Strong organizational and leadership skills.
• Excellent communication and interpersonal skills.
• Ability to collaborate with stakeholders at all levels.
• Knowledge of health and safety requirements. Proficient in Microsoft Office Suite.
• Experience in finance or analytics is a plus.

Novo Nordisk is a leading global healthcare company with a 100-year legacy of driving change to defeat serious chronic diseases. Building on our strong legacy within diabetes, we are growing massively and expanding our commitment, reaching millions around the world and impacting more than 40 million patient lives daily. All of this has made us one of the 20 most valuable companies in the world by market cap. Our success relies on the joint potential and collaboration of our more than 63,000 employees around the world. We recognize the importance of the unique skills and perspectives our people bring to the table, and we work continuously to bring out the best in them. Working at Novo Nordisk, we’re working toward something bigger than ourselves, and it’s a collective effort. Join us! Together, we go further. Together, we’re life changing.

 

Contact

To submit your application, please upload your CV online (click on Apply and follow the instructions).

Apply Now!

 

Deadline

4th June 2024.

 

 

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. 

 

At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.

 

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny.

About the team:

Klaviyo operates a real-time data analytics platform coded primarily in Python that is built for massive scale and hosted on Amazon Web Services (AWS). Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines.

At Klaviyo, we love tackling tough engineering problems and look for employees who specialize in certain areas but are passionate about building, owning & scaling features end to end from scratch and breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies, and work hard to ensure each day is better than the last. Learn more about our engineering culture at https://klaviyo.tech

About the role:

The Senior Machine Learning Engineer will help build foundational models at Klaviyo that extract insights from the massive streams of data that Klaviyo ingests continuously. You will work with teammates including data scientists to apply cutting edge techniques from deep learning, language modeling, recommender systems, and more to generate value for our customers by allowing them to target and personalize their messages. You have capable software engineering skills and are familiar with the entire ML lifecycle from inception to production. 

You use and promote best practices to ensure high software code quality and machine learning performance. You have experience in machine learning, and have already trained and developed models in the recommender, NLP, or related areas. You are determined, motivated, and ready to overcome new challenges to build the best solutions.

This role is based in Boston, MA and requires a weekly hybrid in-office component. 

How you’ll have an impact:

30 days 

• You will have finished on-boarding including engineering and data science specific on-boarding.
• Your local developer environment is set up and usable.
• You will have met multiple members of the Data Science team and are familiarizing yourself with both the Klaviyo product and the relevant data sources available to you.

60 days 

• You will understand what’s needed to tackle your initial project including the data needed, the success metrics, the technical approach, the experiments needed to test performance in production, etc. 
• You are able to pull data and train and test models in Klaviyo’s ML development environment. 
• You are actively contributing code and providing valuable feedback to teammates and peers through RFC reviews, code reviews, etc.

90 days

• You will be actively iterating on models for your first project.
• You will be actively working with teammates to identify obstacles and gaps in our systems and scoping work to address these in partnership with relevant stakeholder teams.

Up to 1 year 

• You will have developed multiple impactful models that use Klaviyo’s data, which you have put into production and are generating value in novel and powerful ways for our customers.

What we’re looking for:

• 5+ years experience in machine learning or data science
• Experience in at least one of NLP or recommender systems.
• Experience working with models trained on massive datasets.
• Experience putting models into production, as well as monitoring and maintaining them in the long term
• Experience writing code to high software engineering standards, following best practices such as test-driven development, code review
• Experience working with databases, REST interfaces, and other modern SaaS development patterns
• Experience mentoring team members in technical areas.

Nice to have:

• Experience with frameworks such as Huggingface, PyTorch, Tensorflow, Keras
• Experience with distributed training with Spark, Ray, etc.
• Experience working with customers directly

#LI-Onsite      #LI-CB2

The pay range for this role is listed below. Sales roles are also eligible for variable compensation and hourly non-exempt roles are eligible for overtime in accordance with applicable law. This role is eligible for benefits, including: medical, dental and vision coverage, health savings accounts, flexible spending accounts, 401(k), flexible paid time off and company-paid holidays and a culture of learning that includes a learning allowance and access to a professional coaching service for all employees.

Base Pay Range For US Locations:$156,800—$235,200 USD

Get to Know Klaviyo

We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.

Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.

IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. 

You can find our Job Applicant Privacy Notice here.

Job Advertisement

Leibniz-HKI-16/2024

The Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) investigates the pathobiology of human-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. The research group of Applied Systems Biology invites talented and highly gifted candidates to apply as

Doctoral Researcher (m/f/div)

in Automated Processing of Bioimages

for three years initially with the prospect of prolongation.

Research areas: automated image processing, machine learning, artificial intelligence, etc.

In the research group Applied Systems Biology a position for a postdoctoral researcher becomes available. The position is associated with aspects of the Image-based Systems Biology approach. This modern computational approach comprises the automated analysis of microscopy and/or spectroscopy data based on state-of-the-art methods from machine learning as well as the computer simulation of mathematical models using advanced modeling approaches. We are seeking highly motivated candidates that are interested to work on image processing in experiment-driven interdisciplinary studies.

Candidate’s profile:

• Master’s degree in computer science, bioinformatics, physics, or a related discipline
• Strong interest in biological systems and an educational background in biology is preferred
• Experience in automated analysis of image data
• Very good programming skills
• Ability to perform team-oriented as well as independent work
• Good communication skills in English are a must

We offer:

The successful candidate will be hosted in the research group Applied Systems Biology of Prof. Dr. Marc Thilo Figge. The Leibniz-HKI is embedded in the outstanding scientific environment of the Beutenberg Campus providing state-of-the-art research facilities and a highly integrative network of life science groups. We offer a multifaceted scientific project with excellent technical facilities, a place in a dynamic, committed team, as well as strong scientific collaborations.

Salary is paid according to German TV-L (salary agreement for public service employees).

Further information:
Prof. Dr. Marc Thilo Figge | +49 3641 532-1416 |

ca****@le*********.de

Applications:

Leibniz-HKI is proud to be an equal opportunity employer and promote diversity and inclusion in the workplace. It aims to increase the proportion of underrepresented groups in case of equal suitability. All qualified persons, regardless of race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other classification protected by law will receive consideration for employment.

Complete applications in English should include a cover letter, a CV containing a complete list of publications, a brief statement of research experiences and the addresses of two possible referees and should be submitted via the Leibniz-HKI online application system. The deadline for the advertisement is July 15, 2024, but applications will be reviewed on a rolling basis.

Leibniz Institute for Natural Product Research and Infection Biology

Adolf-Reichwein-Straße 23 | 07745 Jena

The Swift Group is looking for a Data Architect to assist with maintenance of existing legacy applications and transition to a new system architecture.

 

Required Qualifications:

• Demonstrated experience defining data standards and principles
• Demonstrated experience designing, constructing, and further developing the data architecture in an organization
• Demonstrated experience with understanding complex problems
• Demonstrated experience with design concepts to make the flow of data in an organization as efficient as possible
• Proficiency in data modeling, from conception to database optimization
• Demonstrated experience with providing specifications for data quality
• Demonstrated experience with creating secure storage concepts
• Good written and verbal communication skills
• Demonstrated experience with RDBMS (e.g. Postgres, Oracle, etc.)
• Demonstrated experience with Graph databases (e.g. Neo4J, ArangoDB, etc)
• Demonstrated experience with designing a graph database for performance
• Demonstrated experience with working in a cloud environment
• A minimum of 5 years’ experience in a similar role
• US citizenship with an active TS/SCI with Polygraph security clearance required

 

The Swift Groups is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.

Are you a technologist with an eye for detail and a passion for data architecture and governance? Join our team! The Data Engineer III is responsible for designing, documenting, and maintaining our organization’s data architecture in alignment with their related system implementations to identify areas of opportunity to improve data quality and drive data governance rigor across the portfolio. In addition to being responsible for reviewing internal customer needs and the related requirements to provide input on the data strategies for potential solutions, the Data Engineer III will also provide input and oversight of data related tasks during the execution phase of departmental and enterprise projects. There will be an overarching theme and focus on data governance and stewardship driven through architecture modeling to support effective decision making when undergoing system or process changes. Additionally, with the uptick in AI initiatives, the Data Engineer III will be integral in helping define the data strategy, identifying data cleansing opportunities and helping to improve our overall data quality. The candidate will need to be bright, imaginative, and a capable technologist with strong communication skills, specifically seeking an environment where they will impact the direction of the organization and be a key contributor to overall success of the business. The pace is exceptionally fast at SNC, and our dynamic environment will see many new projects in the coming year. The Data Engineer III will need to be agile and flexible, as changes will be certain and frequent.

As SNC’s corporate team, we provide the company and its business areas with strategic direction and business support spanning executive management, finance and accounting, operations, human resources, legal, IT, information security, facilities, marketing, and communications.

Responsibilities:

• Collaborate with stakeholders, business systems analysts, and other project team members to understand their functional and non-functional data requirements and design data models that meet those needs.
• Develop and maintain data dictionaries, data lineage, and other metadata artifacts to ensure that data is well-governed, accurate and supports authoritative data sourcing.
• Document and model existing ETL processes to provide insight into current data integrations, areas of opportunity to consolidate or streamline, and/or removing redundancies.
• Support and help define the data strategy and cleansing activities for AI initiatives.
• Design, build, and maintain RPAs for data ingestion that are scalable and efficient to bolster accuracy in QA and system testing.
• Partner with business systems analysts to support the elicitation and cultivation of business needs to translate into detailed requirements documentation; focus will be on the data aspects of the needs to support business process efficiencies.

Must-haves:

• Bachelor’s Degree in a related field with at least 6 years of relevant experience
• Higher education may substitute for relevant experience
• Relevant experience may be considered in lieu of required education
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), and familiarity with a variety of databases
• Experience with AWS cloud services: S3, Redshift, Glue
• Experience building and optimizing data pipelines, architectures and data sets
• Experience performing root cause analysis on data to answer specific business questions or issues
• Experience with object-oriented scripting languages and frameworks: Python
• Source system integration patterns (SQL, APIs)
• Operational responsibilities (schedules, monitoring, logging, alerting, error handling, etc.)
• DevOps experience

Preferred:

• Experience performing root cause analysis on data to answer specific business questions or issues
• Experience with AWS cloud services: EC2, RDS, Lambda, Step Functions, Athena, CloudWatch, ECS, IAM
• Experience with AWS security: best practices, AWS KMS, AWS Secrets Manager
• Experience with object-oriented scripting languages and frameworks: Python (BOT03), PySpark, Java, etc
• Master Data Management (MDM) Solution experience

SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more.

IMPORTANT NOTICE:

To conform to U.S. Government international trade regulations, applicant must be a U.S. Citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State or U.S. Department of Commerce.

Learn more about the background check process for Security Clearances.

SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We’re known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation’s most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team!

As an Equal Opportunity Employer, we welcome our employees to bring their whole selves to their work. SNC is committed to fostering an inclusive, accepting, and diverse environment free of discrimination.  Employment decisions are made without regarding to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran or other characteristics protected by law. Contributions to SNC come in many shapes and styles, and we believe diversity in our workforce fosters new and greater ways to dream, innovate, and inspire.

Want to join a fast-moving company and work among convivial teams? Pernod Ricard is looking for its next Product Owner assistant – Data Platform / Business Intelligence from September 2024. You will have a broad scope as you will support all global Data projects. You will be based at The Island, our office in central Paris. 

Your key missions:

You will assist Data platform team and diffuse guidelines

• Understand the technical stack, guidelines, and assets of the Global Data Team
• Provide support by specifying requirements for the Data Platform needs
• Set up and maintain Data Platform tools
• Participate in the improvement of existing technical steps

You will contribute to the enhancement of data platform tools

• Ability to test the functionalities to ensure a high level of quality of Data Platform solution
• Secure technical usage of data platform environment
• Apply QA tests in the Data Platform tools in place 

Foster Data culture

• Write documentation on the developed solutions and implementation choices
• Contribute to the awareness and promotion of Data Platform initiatives

Don’t wait to apply if you recognize yourself in the description below!

• You are interested in data topics, especially in their usage and impact on large organization 
• You have had an experience in an IT scope, ideally in data position
• You have experience in programming, especially with python 
• Knowledge of the cloud Microsoft is recommended
• You are curious, result-driven and a skillful communicator
• You are fluent in English

Please note we only accept 5 to 6-month internships with school-issued contracts/agreements

Wait, there’s more… 

We offer you an outstanding workplace in central Paris (the best view in town!) with the possibility to work from home (2 days a week), attractive compensation, and employee events. You will create a solid, diversified, and friendly professional network with us!

Pernod Ricard values diversity and solidarity within its organization and in its relations with stakeholders. Our recruitment methods focus on skills, and we welcome all types of talents. 

Job Posting End Date:

Target Hire Date:

2024-09-02

Target End Date:

2025-03-28

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

We’re hiring a Data and Model Operations Engineer  experienced in building big data pipelines and proficient in managing ML models in a production setting. The role involves overseeing the entire lifecycle of ML applications, from development to deployment and monitoring. You’ll be part of a global engineering team, collaborating with stakeholders in consulting, data science, and data engineering. Your responsibilities will include strategic planning, business analysis, and technical guidance in data engineering and architecture solutions. You’ll manage our data engineering assets globally, build relationships with consulting partners, and lead data engineering and data science teams. The ideal candidate will have a background in data engineering, data science, and machine learning engineering.

This position is based in Visa’s offices in Bangalore, India, and presents an excellent opportunity for those looking to make a significant impact in the field of Data Engineering and Model Operations.

Essential Functions

• Requirement Analysis: Understand and translate business needs into data models supporting long-term solutions.
• Data Modeling: Work with the Business team to implement data strategies, build data flows and develop conceptual data models.
• Data Pipeline Design: Create robust and scalable data pipelines and data products in a variety of domains.
• Data Integration: Develop and maintain data lakes by acquiring data from primary and secondary sources and build scripts that will make our data evaluation process more flexible or scalable across data sets.
• Testing: Define and manage the data load procedures to reject or discard datasets or data points that do not meet the defined business rules and quality thresholds.
• Deployment: Implement data strategies and develop physical data models, along with the development teams, data analyst teams and information system team to ensure robust operational data management systems.
• Understanding of and ability to Implement Data Engineering principles and best practices.
• Building MLOps Pipelines: Develop, construct, Test, and maintain architectures such as databases and large-scale processing systems to manage the ML lifecycle.
• Developing and Retraining ML Models: Develop machine learning models and retrain existing models based on evolving data trends.
• Creating Data Pipelines: Create scalable and real-time data pipelines for machine learning workflows.
• Collaboration: Collaborate with data scientists and ML engineers to understand their needs and assist with ML lifecycle processes.
• Stakeholder Management: Work closely with stakeholders across the organization to understand their needs and deliver solutions that meet their requirements.
• Continuous Improvement: Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications

Technical Skills:

• Extensive experience in big data tools: Hadoop, Hive, and Spark.
• Proficiency in Scala, Python, SQL, and PySpark.
• Experience with Unix/Linux systems with scripting experience in Bash.
• Experience with data pipeline and workflow management tools like Airflow, etc.
• Proficiency in Machine Learning, Deep Learning, and related technologies.
• Experience working in building and integrating the code in the defined CI/CD framework using git.
• Proficient in some or all of the following techniques – Linear & Logistic Regression, Decision Trees, XG Boost, Random Forests, K-Nearest Neighbors, etc.
• Experience working with large scale data ingestion, processing, and storage in distributed computing environments / big data platforms (Hadoop) as well as common database systems and value stores (Parquet, Avro, HBase, etc.).
• Familiarity with Python-based data science libraries: iPython, sci-kit learn, Pandas.
• Familiarity with both common computing environments (e.g., Linux, Shell Scripting) and commonly used IDE’s (Jupyter Notebooks).
• Understanding of data warehousing and ETL techniques.
• Experience with Python or R for data analysis is a plus.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with cloud services AWS or Azure.
• Experience with stream-processing systems: Kafka, Spark-Streaming, etc.
• Strong analytic skills related to working with structured & unstructured datasets.
• Familiarity with Agile development methodologies.
• Strong quantitative skills, with a degree in a field such as Statistics, Mathematics, Computer Science, or related field.
Qualifications
• 5+ years of work experience with a bachelor’s degree or at least 3+ years of work experience with an Advanced degree (e.g. Master’s, MBA, JD, MD) or 1+ years of work experience with a PhD degree
• Exposure to Financial Services/ Payments Industry
Other Skills
• Strong problem-solving skills.
• Excellent communication skills.
• Ability to work in a team.
• Detail-oriented and excellent organizational skills.
• Strong understanding of machine learning principles and best practices.
• Ability to translate complex data into understandable, actionable insights.

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Job Title: GCP Certified Data Engineer Consultant

Location: Remote

Duration: Contractor or FTE

Job Description:

Summary:

We seek a highly skilled and experienced GCP (Google Cloud Platform) Certified Professional with over 10 years of hands-on experience to join our team as a Consultant. In this role, you will work closely with our clients to provide expert consulting services to enable the success of GCP implementations at client sites. The ideal candidate possesses in-depth knowledge of Google Cloud technologies, excellent problem-solving abilities, and exceptional communication skills.

Responsibilities:

1. Client Engagement:

• Engage with clients to understand their business objectives, technical requirements, and challenges related to GCP implementations.
• Collaborate with clients to design, develop, and implement tailored GCP solutions that align with their business goals.

1. Implementation Support:

• Assist clients in deploying, configuring, and optimizing GCP services and resources.
• Offer hands-on technical support during the implementation phase, troubleshooting issues, and ensuring the successful deployment of GCP solutions.

1. Training and Knowledge Transfer:

• Conduct training sessions for client teams to enhance their understanding of GCP services, tools, and best practices.
• Foster knowledge transfer by creating and delivering educational materials, workshops, and webinars.

1. Collaboration and Communication:

• Collaborate effectively with cross-functional teams, including developers, architects, and project managers, to deliver seamless GCP implementations.
• Maintain clear and open communication with clients, informing them about project progress, challenges, and solutions.

1. Continuous Learning:

• Stay abreast of the latest developments and updates in the GCP ecosystem, continuously enhancing personal and team expertise.
• Pursue relevant certifications and training to ensure up-to-date knowledge of GCP services and technologies.

Qualifications:

• GCP Certification: Professional Google Cloud Data Engineer Certification is mandatory.
• Experience: Minimum of 10 years of hands-on experience working with GCP, including extensive experience designing, implementing, and optimizing GCP solutions for diverse clients.
• Consulting Skills: Proven track record in consulting and client-facing roles, with excellent communication, presentation, and interpersonal skills.
• Problem-Solving: Strong analytical and problem-solving abilities, identifying and resolving complex technical challenges.
• Team Player: Ability to work effectively in cross-functional teams and collaborate with diverse stakeholders.
• Project Management: Familiarity with project management methodologies and tools, ensuring timely and successful project delivery.

If you are a highly skilled GCP Certified Professional passionate about delivering exceptional consulting services and enabling the success of GCP implementations, we invite you to apply and join our dynamic team. Please submit your resume and a cover letter detailing your relevant experience and expertise.