29Sep

Data Engineer – Mid Engineer at NielsenIQ – Chennai, India


Job Description

YOU’LL BUILD TECH THAT EMPOWERS GLOBAL BUSINESSES

Our Connect Technology teams are working on our new Connect platform, a unified, global, open data ecosystem powered by Microsoft Azure. Our clients around the world rely on Connect data and insights to innovate and grow.

As a Senior Data Engineer, you’ll be part of a team of smart, highly skilled technologists who are passionate about learning and supporting cutting-edge technologies such as Spark, Scala, Pyspark, Databricks, Airflow, SQL, Docker, Kubernetes, and other Data engineering tools.  These technologies are deployed using DevOps pipelines leveraging Azure, Kubernetes, Jenkins and Bitbucket/GIT Hub. 

WHAT YOU’LL DO:

  • Develop, test, troubleshoot, debug, and make application enhancements leveraging, Spark , Pyspark, Scala, Pandas, Databricks, Airflow, SQL as the core development technologies.
  • Deploy application components using CI/CD pipelines.
  • Build utilities for monitoring and automating repetitive functions.
  • Collaborate with Agile cross-functional teams – internal and external clients including Operations, Infrastructure, Tech Ops
  • Collaborate with Data Science team and productionize the ML Models.
  • Participate in a rotational support schedule to provide responses to customer queries and deploy bug fixes in a timely and accurate manner

Qualifications

WE’RE LOOKING FOR PEOPLE WHO HAVE: 

  • 4-8 Years of years of applicable software engineering experience
  • Strong fundamentals with experience in Bigdata technologies, Spark, Pyspark, Scala, Pandas, Databricks, Airflow, SQL,
  • Must have experience in cloud technologies, preferably Microsoft Azure.
  • Must have experience in performance optimization of Spark workloads.
  • Good to have experience with DevOps Technologies as GIT Hub, Kubernetes, Jenkins, Docker.
  • Good to have knowledge of relational databases, preferably PostgreSQL.
  • Excellent English communication skills, with the ability to effectively interface across cross-functional technology teams and the business 
  • Minimum B.S. degree in Computer Science, Computer Engineering or related field

Additional Information

Our Benefits

  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

Want to keep up with our latest updates?

Follow us on: LinkedIn | Instagram | Twitter | Facebook

Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion





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28Sep

Data Quality Specialist at Volunteers of America Los Angeles – El Monte, CA


About Us:

VOALA

Helping Our Most Vulnerable Change Their Life Stories

Volunteers of America is a non-profit human services organization committed to serving people in need, strengthening families, and building communities. VOALA provides a variety of social services to Los Angeles area communities such as Head Start programs, Upward Bound college prep programs, veterans’ services, homeless shelters, low-income housing program as well as drug and alcohol rehabilitation. Learn more at www.voala.org.

JOB SUMMARY AND PURPOSE

The Data Quality Specialist will maintain data for clients and families that have accessed the program. The following duties may be handled in conjunction with Funder staff, and Program staff where applicable

DUTIES AND RESPONSIBILITIES

  • Verifies, corrects and enters participant information into centralized database;
  • Documentation Review – Conducts file documentation review at least weekly. Ensures that all documentation is in order including ensuring documents are filled out correctly, compete, and signed. This ensures quality assurance at the program level.
  • Monitors database reports to assure consistency with hardcopy records and other logs
  • Runs regular progress reports, and other reports as required by Program Manager; creates customized reports to support shelter management and to provided other needed information on request
  • Coordinates with Case Managers and Intake staff to ensure data intake requirements are met
  • Trains staff on database and answers questions relating to the system
  • Supports any technical and reporting issues for the Program;
  • Assists with program funder audits and monitoring visits;
  • Attends conferences and regular meetings with database contractors and Funder staff
  • Oversees the privacy/confidentiality notification processes to meet regulatory guidelines
  • Exports data and upload to Funder repository as directed
  • Other duties as may be required to support the program with database and information system expertise.

Qualifications

REQUIREMENTS:

  • Must be able to pass a fingerprint clearance, background check, including criminal history, personal references, employment and education verifications

EDUCATION:

  • High School Diploma or equivalent

EXPERIENCE:

  • 1-year experience operating/maintaining database

PREFERRED QUALIFICATIONS:

  • Bachelor’s degree preferred
  • U.S. Veteran preferred.
  • Familiarity with HMIS, Adsystech, and/or Clarity programs
  • Experience working with veterans, people in recovery and/or homelessness individuals
  • Bilingual preferred (English and Spanish)

Volunteers of America is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law

This employer participates in E-Verify as required by the federal government and will provide the federal government with your Form 1-9 information to confirm that you are authorized to work in the U.S.

If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (OHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment.



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28Sep

Software Engineer – Americas Campus (July 2025) at FactSet – Norwalk, CT, USA


FactSet’s product suite of smart analytics and unique data empower the world’s leading financial service professionals to make more informed decisions every day. At our heart is an inclusive community unified by the spirit of going above and beyond. Our philosophy is to embrace diversity, and that our best ideas can come from anyone, anywhere, at any time. We continuously look ahead to advance the future and technology of our industry, by rolling up our sleeves to solve tough problems together, and by learning from our successes, as well as our failures.

Being a software engineer at FactSet is to shape the future of investments technology. Our engineers use cutting edge technologies including machine learning, natural language processing, predictive analysis, and cloud computing to solve some of the investment community’s greatest challenges – relying every step of the way on some of our most creative minds to create sleek and intuitive UIs that make our products among the industry’s easiest to use.

We’re looking for hard-working and out-of-the-box thinkers from all software engineering disciplines to bring new perspective and fresh ideas to our team. Engineers are aligned with specific teams where they design and implement applications for integration within the FactSet product suite and deployment to investment professionals worldwide. 

Our engineers find the right balance between FactSet’s flexible environment where everyone can contribute individually, yet at the same time cultivate a community where they can depend on each other for help, learning, and development.

Qualifications:

  • BS or MS degree in Computer Science (or equivalent) conferred by June 2025

  • Experience programming with an OOP language (C++, Python, Java, C#, etc.)

What We Value as Members of FactSet’s Engineering Community:

  • Thorough understanding of object-oriented programming and design

  • Understanding of modern web technologies like JavaScript, Typescript, Vue, HTML5/CSS3, etc.

  • Experience with scripting languages such as Python or Ruby

  • Familiarity with relational or unstructured database technology such as Postgres, SQL, Kafka, Cassandra

  • Windows and Linux programming environments

  • Knowledge of Cloud technology stack in AWS, Azure or GCP

  • Working with and managing a large code base

  • Programming in a multi-threaded, distributed environment

  • Desire to both design and implement reliable and superior software

What You Can Expect When Joining FactSet’s Engineering Community:

  • A comprehensive training program that begins on your first day with FactSet

  • Support from your manager and teammates

  • Open lines of communication that foster collaboration

  • Mentorship from tenured Engineers

  • Opportunity to build your FactSet network from day one through various events (virtually or in person)

  • An emphasis on continuous learning and professional development

Why Life is Better as a FactSetter:

  • Collaborative, hybrid work environment

  • 4 weeks paid time off your first year of employment

  • Secure your future with our discounted employee stock purchase program and 401K matching

  • No or low cost medical, dental and vision care

  • Reimbursement for eligible expenses related to the CFA, CIPM, CAIA and FRM exams

  • Wellness programs including gym discounts and more

  • 16 weeks paid parental leave for the primary caregiver (4 weeks for secondary)

  • Employee referral bonuses

  • And more!

At FactSet, we celebrate diversity of thought, experience, and perspective. We are committed to disrupting bias and a transparent hiring process.  All qualified applicants will be considered for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. FactSet participates in E-Verify.

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

The budgeted amount range for this position is $90,000 – $105,000.

At FactSet, we celebrate diversity of thought, experience, and perspective. We are committed to disrupting bias and a transparent hiring process.  All qualified applicants will be considered for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. FactSet participates in E-Verify

FactSet is an Equal Opportunity Employer – M/F/Veteran/Disability/Sexual Orientation/Gender Identity



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28Sep

Model Deployment with FastAPI, Azure, and Docker | by Sabrine Bendimerad | Sep, 2024


A Complete Guide to Serving a Machine Learning Model with FastAPI

pixabay.com

Welcome to this third article in my MLOps series. In the first article, we explored Docker and how it simplifies application packaging. In the second article, we managed machine learning models using MLflow, Azure, and Docker. Now, in this third part, we’ll bring everything together by building a FastAPI application that serves our previously stored model on Azure. This allows us to create a prediction service that can be accessed globally!

An API is like a bridge. Whenever you interact with a library in Python, you’re using its API. It’s the public part of an application that you can interact with, while everything behind it is hidden.

APIs are commonly used to communicate with web applications, and they provide a set of URLs that return data (You send a request with some parameters and get a response back). Most often, the data comes back in formats like JSON or XML, which are easy to parse. This is different from websites that return HTML, which includes info for rendering pages. With APIs, you get just the raw data.

Some APIs are public, while others are private. When building an API, you decide what data to share, how to…



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28Sep

Freelance Strategy Consultant – AI Tutor at Toloka AI – United States – Remote


About The Company

Welcome to Mindrift — a space where innovation meets opportunity. We’re a pioneering platform dedicated to advancing the field of artificial intelligence through collaborative online projects. We focus on creating data for Generative AI, offering a unique chance for freelancers to contribute to AI development from anywhere, at any time – without the need to be developers.

At Mindrift, we believe in the power of collective intelligence to ethically shape the future of AI. Our platform allows users to dive into a variety of tasks — ranging from creating training prompts for AI models to refining AI responses for better relevance.

About The Role

As an AI Tutor – Consulting Expert, your work will involve creating and refining content to ensure accuracy and relevance across a wide array of topics within the strategy and consulting domain. Your contributions will help shape an AI that will educate, inspire, and promote a deeper understanding of real strategic consulting.

You will also be responsible for driving quality across the project, creating meaningful assessments for future candidates, helping to create onboarding material and controlling the output of the team.

The position may not be available immediately after you apply, but we encourage you to upload your CV if you’re interested in participating. We have exciting projects coming soon with plenty of tasks, and we want to stay in touch with you. Once the role becomes available and you meet the criteria, you will be our priority candidate to join the project among the first, and we will reach out to you as soon as possible.

Requirements

  • You have a master’s degree in a relevant field (economics, accounting, etc).
  • You have professional experience in Big 3 Consulting, either currently or in the past.
  • Your level of English is native or C2 proficiency.
  • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines
  • Our freelance role is fully remote and it could be time flexible. It doesn’t not require full time engagement.

Benefits

  • Take part in part-time, remote, freelance projects that respect your primary professional or academic commitments
  • Try your hand at an AI project and enrich your portfolio with new experiences
  • Make a tangible impact on the quality of AI



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28Sep

Decision Science Delivery Project Manager at American College Of Cardiology Foundation – Washington, US-DC, US


The Decision Science Delivery Project Manager constructs clinical guidance and decision-making tools in support of the American College of Cardiology’s (ACC) scientific and policy priorities. This is accomplished by partnering with work groups comprising clinicians and leading health care experts who are responsible for the development and execution of clinical policy in several formats and other activities such as stakeholder meetings.  The project manager also consults with clinicians related to the translation of the content into an app, compendia, or EHR-based tool, and coordinates with other staff to maintain consistency among all related activities. Individuals must demonstrate a strong desire for becoming a subject matter expert on a broad range of cardiovascular topics to help guide and facilitate the clinical guidance development process. This position requires strong project and people management skills, strategic and critical thinking, attention to detail as well as the ability to work in a fast-paced environment.

This position is based in Washington, DC where we have a hybrid work environment (2 days per week in the office).   

Major Duties and Responsibilities: 

  • Serve as primary staff liaison to and partner with clinician work groups to develop content for clinical policy, including: management of project meetings, cloud-based file sharing, maintaining timelines and schedules, translating discussions into draft content, keeping groups aligned with ACC’s objectives, provide counsel on ACC policies and procedures, and other tasks as needed.
  • Elicit, distill, and incorporate feedback from clinical experts during/supporting content development.
  • Conduct background research and gather relevant information and scientific literature to support clinical policy development efforts.
  • Plan and execute high-profile and well-organized in-person and virtual stakeholder meetings to inform the development of solution set and point-of-care tools.
  • Serve as primary staff liaison to and partner with ACC planning committees responsible for the planning and execution of multidisciplinary stakeholder roundtables. This includes actively collaborating with member leaders and assisting with the translation of clinical discussion into materials, such as agendas, presentations, summary documents, and discussion questions.
  • Maintain familiarity and compliance with ACC’s policy on relationships with industry.
  • Collaborate cross-divisionally on deliverables and maintain consistency with other relevant activities, including: IT, marketing/communications, education, business development, and other departments as needed
  • Function in a matrix team environment, frequently within the Science & Quality Division and occasionally with other areas of the College, by offering resources and talents where there is alignment of projects around priority areas of interest.
  • Work within standard content formats with eye toward increasing efficiency. 
  • Manage multiple projects simultaneously with minimal oversight while demonstrating a high degree of productivity and ability to adhere to deadlines.
  • Perform other duties as assigned.

Required Qualifications: 

  • Bachelor’s degree and 5+ years of work experience.
  • Experience managing external stakeholder committees.
  • Experience with editing and/or publishing activities.
  • Knowledge of developing content structure for events/meetings and executing on such.
  • Demonstrated experience in managing and organizing multiple projects with minimal supervision.
  • Time management skills and ability to work well under strict deadlines and high production requirements.
  • Strong sense of urgency.
  • Diplomatic demeanor.
  • Excellent oral, proofreading, spelling and grammar skills as well as attention to detail and accuracy in all written communication.
  • Proficiency with MS Office Suite.
  • Ability to travel as necessary: 1-2 times annually.
  • Eagerness to work as part of a team and support other team members.

Desired Qualifications: 

  • Experience with a member-driven professional society
  • Background in science or health care preferred.
  • Clinical knowledge of cardiovascular disease
  • Experience conducting literature searches in medical databases.

About Us:

At the American College of Cardiology, we bring our hearts to work.

We are a 500-person organization dedicated and committed to our mission to transform cardiovascular care and improve heart health for the past 70 years. When you join our team, you become part of a passionate culture that envisions a world where innovation and knowledge optimize cardiovascular care and outcomes.

Every day, we are committed to supporting our more than 56,000 members and their patients around the globe and in doing so, ensure our staff have a positive environment of teamwork, collaboration, professionalism and excellence. To learn more about why ACC has been recognized as one of Modern Healthcare’s Best Places to Work in Healthcare please visit our site at: www.acc.org/jobs.

 

What We Offer:

ACC values all members of our College family, including ACC staff. As the foundation of the organization, ACC staff enjoy world-class benefits and a culture of work-life balance. Our benefit offerings include insurance (medical, dental, vision, basic life, and short- and long-term disability, and supplemental options), generous paid time off (pre-loaded vacation and sick, 12 holidays and an organizational shut-down during the last week of the year, parental leave, 2 community service days, and half-day summer Fridays), tuition assistance and a very competitive 10% retirement contribution after a year of service, and much more! You can visit our careers site for an overview of our full offerings: https://www.acc.org/about-acc/jobs-at-the-acc. Please note that these offerings may change at any time.

ACC believes in fair and equitable pay. Multiple factors are taken into consideration when we determine what salary to offer a selected candidate. These factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, as well as internal equity, market, and business considerations. Our salary ranges differ based on the cost of labor in the local market where the job will be performed. For this role in Washington, DC (and other high-cost of labor markets if applicable, including California, Colorado, Illinois, New York, Washington) the base salary range is: $77,000 – $85,000. The salary ranges for other locations in the US will vary based on the local labor market; ACC’s Recruitment Team will be able to provide more information to candidates during initial discussions.

ACC is proud to be an equal opportunity and affirmative action employer. We celebrate diversity and are committed to creating an inclusive environment for all candidates and employees. All employment is decided on the basis of qualifications, merit and business need. Equal Opportunity Employer, including individuals with disabilities and veterans. 

ACC is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact Crystal Nott, Sr. Director, People Resources & Engagement at 

cn***@ac*.org











 or (202)375-6423. 



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27Sep

Ingénieur·e prédiction des performances usure et adhérence (H/F) at Michelin – Clermont-Ferrand


Ingénieur·e prédiction des performances usure et adhérence (H/F)

– – – – – – – – – – – –

Contexte 

Michelin s’est fixé pour objectif la neutralité carbone pour 2050. Dans ce contexte, nous souhaitons réduire significativement le nombre de tests physiques réalisés sur les pneumatiques au profit de simulations numériques, moins impactantes écologiquement. Pour réduire le nombre de tests physiques, il faut être en mesure de prédire avec précision les performances des pneumatiques.

L’équipe en charge de la compréhension / prédiction des performances met son savoir et ses compétences au service de la conception des produits, pour proposer une mobilité plus sûre et plus durable.

Cette équipe de 17 personnes recrute en CDI un·e ingénieur·e mécanicien·ne / physicien·ne dans le but d’améliorer ses modèles et sa compréhension des performances usure et adhérence au sein du Centre de R&D Michelin basé à Clermont-Ferrand.

Votre mission avec nous

Votre mission consiste à comprendre les mécanismes qui pilotent les performances de l’usure et de l’adhérence d’un pneumatique, les modéliser dans des outils utilisés pour la conception produit. Vous accompagnez les partenaires par votre expertise en perfectionnant les briques physiques des modèles éléments finis.

Vous pourrez être amené par la suite à proposer de nouveaux axes de recherche et à prendre la responsabilité de projets de développement / déploiement de nouveaux outils et méthodes.

Quelles sont les activités au quotidien ?

Dans le cadre de ce poste, vous intervenez en support des équipes services & solution Michelin, qui propose des offres autour de la mobilité connectée et de services rendus aux utilisateurs.

Votre quotidien est drivé autour des activités :

Le profil que nous cherchons

  • Titulaire d’un diplôme d’école d’ingénieur ou diplôme universitaire (bac+5 ou bac+8)

  • Doté une solide formation en mécanique des milieux continus, mécanique du solide

  • Vous avez une capacité de mise en équation des problèmes physiques (modélisation par éléments finis)

  • Vous avez de bonnes connaissances en langage informatique (Python, Matlab) pour le développement d’outils de modélisation

  • Vous appréciez les approches multi-échelles allant du comportement de la matière à celui d’un ensemble complexe (typiquement véhicule).

  • Vous avez des connaissances en comportement des matériaux déformables

  • Vous avez un niveau d’anglais courant (B2 mini)

Vous avez par ailleurs de bonnes capacités à travailler au sein d’équipes projet multidisciplinaires.

Qu’est-ce que vous avez à y gagner ?

A votre prise de poste, vous bénéficiez d’un plan de formation personnalisé.

Votre progression dans le métier se fera grâce à votre entourage (expert performances, experts pneumatiques, expert matériaux) dans un climat de partage de savoirs et savoir-faire mais aussi grâce à une formation continue qui sera définie de manière individuelle.

Vos compétences, votre curiosité, votre rigueur d’analyse et votre sens de la physique, vous permettront de gagner en expertise afin de devenir une référence interne sur la mécanique du contact.

Vous pourrez ensuite évoluer soit vers un rôle de gestion transverse, soit vers un rôle d’expert dans le développement de nouvelles méthodes.

En intégrant Michelin, les perspectives de carrière sont variées, et vous serez acteur de votre développement.

Ce poste ne vous conviendra pas si…

  • Vous ne maitrisez pas la mise en équation de systèmes physiques complexes
  • Vous n’aimez pas évoluer dans un environnement où le travail d’équipe pluridisciplinaire est primordial,
  • Vous avez un niveau d’anglais insuffisant (B2 mini)

N’hésitez plus !

Vous avez envie de participer à une vision ambitieuse de la mobilité durable, rejoignez-nous !

Le poste est à pourvoir dès maintenant et sera pourvu dès qu’une personne qui répond à nos attentes est trouvée !

– – – – – – – – – – – –

Michelin, entreprise engagée dans la mobilité durable et reconnue pour ses actions en faveur de l’expérience employé !

  • Une note de 99/100 à l’index de l’égalité femmes-hommes
  • Entreprise « Handi accueillante », avec un réseau de référents et ambassadeurs Handicap pour vous accompagner
  • 83,5% de taux d’engagement de nos employés
  • 94,6% des stagiaires et alternants nous recommandent, label “Happy Trainees” depuis 9 années consécutives
  • Classé parmi les groupes du CAC 40 les plus engagés selon les Bac+5 à l’index RSE Universum 2023
  • Parmi les 100 entreprises les plus attractives pour les étudiants et actifs BAC+2/3 au classement Universum 2023
  • N°1 des entreprises de plus de 500 stagiaires et alternants qui rémunèrent le mieux au Classement HappyTrainees® Rémunération 2023
  • Dans le Top 10 des meilleurs employeurs en France au classement Glassdoor 2023
  • Dans le top 3 des entreprises du secteur « Automobile / Equipementier » en matière d’attractivité employeur à l’édition 2024 du Palmarès @EPOKA @GROUPE IFOP @Occurrence

Pour en savoir plus sur le Groupe :https://recrutement.michelin.fr

– – – – – – – – – – – –



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27Sep

The Role of Small Models in the LLM Era | by Cobus Greyling | Sep, 2024


LLMs are highly versatile, able to handle a wide range of tasks with only a few training examples.

In contrast, smaller models tend to be more specialised and studies show that fine-tuning them on domain-specific datasets can sometimes lead to better performance than general LLMs on specific tasks.

LLMs demand significant computational resources for both training and inference, resulting in high costs and latency, which makes them less suitable for real-time applications, such as information retrieval, or in resource-limited environments like edge devices.

In contrast, smaller models require less training data and computational power, providing competitive performance while greatly reducing resource requirements.

Smaller, simpler models are generally more transparent and easier to interpret compared to larger, more complex models.

In areas like healthcare, finance and law, smaller models are often preferred because their decisions need to be easily understood by non-experts, such as doctors or financial analysts.

Below is an insightful graphic illustrating the collaboration between Small and Large Language Models.

It highlights how Small Models frequently support or enhance the capabilities of Large Models, demonstrating their crucial role in boosting efficiency, scalability and performance.

The examples make it clear that Small Models play a vital part in optimising resource use while complementing larger systems.



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27Sep

Engineering Lead, Middleware at Ontario Teachers’​ Pension Plan – Toronto – 36.25


The opportunity

 

The Engineering Lead, Middleware is a senior technical role that will support the introduction of middleware technologies at Ontario Teachers’. You will be responsible for middleware strategy, planning design and continuous improvement, working with various service providers to coordinate implementation.  You will also plan, gather and translate technical requirements into infrastructure solution designs in alignment with business needs.

 

Who you’ll work with

 

You will report to the Senior Manager, Middleware Engineering. You will also maintain relationships with key vendors and internal partners, managing services, processes, and KPIs related to system design effectiveness, requirements traceability, customer and partner satisfaction, system design quality and system availability.

 

What you’ll do

  • Defines and manages Technology Infrastructure (TI) controls

  • Implements Configuration Management and Infrastructure as Code (Chef, CloudFormation, Terraform)

  • Runs and executes on evaluation and introduction of all new TI technology (hardware and software)

  • Coordinates and executes all FOAK testing and POCs (scoping and execution)

  • Collaborates in deep architectural discussions to ensure solutions are designed for successful deployment, security, and availability

  • Procures hardware, software and software licensing, and manages licensing model choices

  • Provides Level 3 Support for various infrastructure and COTS software (rotating on-call)

  • Prioritizes builds in coordination with Business & Demand Management function

  • Architects, designs and implements On-Prem and Cloud-Based solutions

  • Mentors and coaches junior technical staff and managed services staff

 

What you’ll need

  • Deep experience in the design of distributed, high availability middleware designs

  • Demonstrated ability in designing Enterprise Infrastructure Services running various Compute, Network & Storage ecosystems

  • Experience working with a Global Managed Services provider

  • Demonstrated ability with the following technologies: Azure PaaS & SaaS services, Kubernetes (AKS), DataBricks, PowerPlatform (Dynamics) Azure OpenAI, Model Serving (ML, LLM’s), Astronomer (Airflow), DBT, Python, Java, .NET Core, CI/CD Pipelines, Terraform

  • ITIL Foundations and TOGAF certifications are preferred

  • Proven ability to handle deliverables, influence, make recommendations, facilitate decisions, lead technical staff and organize work

  • Excellent verbal and written communication capability demonstrated at technical professional and customer/stakeholder level

#LI-PA, #LI-Hybrid

What we’re offering

  • Pay-for-performance environment that offers competitive salary and incentive

  • Numerous opportunities for professional growth and development

  • Comprehensive employer paid benefits coverage

  • Retirement income through a defined benefit pension plan

  • The opportunity to invest back into the fund through our Deferred Incentive Program

  • A flexible/hybrid work environment combining in office collaboration and remote working

  • Competitive time off

  • Our Flexible Travel Program gives you the option to work abroad in another region/country for up to a month each year

  • Employee discount programs including Edvantage and Perkopolis

At Ontario Teachers’, diversity is one of our core strengths. We take pride in ensuring that the people we hire and the culture we create, reflect and embrace diversity of thought, background and experience. Through our Diversity, Equity and Inclusion strategy and our Employee Resource Groups (ERGs), we celebrate diversity and foster inclusion through events for colleagues to connect for professional development, networking & mentoring.  We are building an inclusive and equitable workplace where our talent is respected, accepted and empowered to be themselves.  To learn more about our commitment to Diversity, Equity and Inclusion, check out Life at Teachers’.

How to apply

Are you ready to pursue new challenges and take your career to the next level? Apply today! You may be invited to complete a pre-recorded digital interview as part of your application.

Accommodations are available upon request (

pe**************@ot**.com











) for candidates with a disability taking part in the recruitment process and once hired.

Candidates must be legally entitled to work in the country where this role is located.

The privacy of your personal information is important to us. Please visit our Privacy Centre to learn how we handle your personal information.

Functional Areas:

Information Technology

 

Requisition ID:

6059



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27Sep

Engineering Manager, Research Tools at Anthropic – San Francisco, CA


About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role:

Anthropic’s Research Tools team builds systems that support our large-scale, distributed finetuning runs and improve the productivity of researchers. As a manager, you’ll support a team of machine learning and distributed systems experts to make these systems and tools highly efficient, support fast iteration on model development and research, and evolve the infrastructure continuously to incorporate new research advances.

Our Research Tooling sits at the intersection of almost every technical group at Anthropic. You’ll work with research teams to incorporate their innovations into our production finetuning pipeline, product teams to help us iterate quickly on customer-oriented model improvements, and infrastructure teams to make sure our training runs and data pipelines are as efficient as possible.

About Anthropic:

Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business, and product.

Responsibilities:

  • Prioritize the team’s work in collaboration with the technical lead, research teams, and product teams to support fast iteration on research projects and training runs.
  • Design processes (e.g., postmortem review, incident response, on-call rotations) that help the team operate effectively.
  • Coach and support your reports to understand and pursue their professional growth.
  • Run the team’s recruiting efforts efficiently, ensuring we can grow as quickly as we need through a period of rapid growth.

You may be a good fit if you:

  • Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well.
  • Are an experienced manager (at least 2 years) and actively enjoy people management.
  • Are a quick study: this team sits at the intersection of a large number of different complex technical systems that you’ll need to understand (at a high level) to be effective.

Strong candidates may also have:

  • Experience working with research teams, especially as part of a “research to production” pipeline
  • Strong people management experience: Coaching, performance evaluation, mentorship, career development
  • Strong project management skills: Prioritization, communicating across team/org boundaries
  • Experience recruiting for your team: Predicting staffing needs, designing interview loops, evaluating candidates, and closing them

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

The expected salary range for this position is:

Annual Salary:$425,000—$510,000 USD

Logistics

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work. We think AI systems like the ones we’re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*

Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

EquityFor eligible roles, equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

US Benefits –  The following benefits are for our US-based employees:

  • Optional equity donation matching.
  • Comprehensive health, dental, and vision insurance for you and all your dependents.
  • 401(k) plan with 4% matching.
  • 22 weeks of paid parental leave.
  • Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
  • Stipends for education, home office improvements, commuting, and wellness.
  • Fertility benefits via Carrot.
  • Daily lunches and snacks in our office.
  • Relocation support for those moving to the Bay Area.

UK Benefits –  The following benefits are for our UK-based employees:

  • Optional equity donation matching.
  • Private health, dental, and vision insurance for you and your dependents.
  • Pension contribution (matching 4% of your salary).
  • 21 weeks of paid parental leave.
  • Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
  • Health cash plan.
  • Life insurance and income protection.
  • Daily lunches and snacks in our office.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the UK or US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we’re different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We’re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.



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