Senior Software Engineer - AI/ML at NielsenIQ

pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

15 Dec, 25

Salary

0.0

Posted On

16 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Linux, Docker, Cloud Providers, Distributed Systems, REST API, MLOps, SQL, Git, CI/CD, Agile, Problem Solving, Analytical Thinking, Team Collaboration, Communication, Data Management

Industry

Software Development

Description

Company Description #LI-Hybrid Responsible for analyzing and developing complex software programming to resolve a variety of problems driven by different technologies. The software must be developed and maintained with high-quality standards and minimal defects. We assist our Research team in deploying AI/ML models and Generative AI solutions into production. To facilitate this, NIQ offers CIS: NIQ’s internal cloud-native self-service platform that empowers MLOps, Data Scientists, and Generative AI teams to experiment, support the complete AI/ML lifecycle, and utilize shared Generative AI capabilities. You will standardize, improve, and develop new features on this platform. Job Description Major responsibilities/outcomes expected of this role: ●Create and maintain a scalable infrastructure to deliver AI/ML processes, responding to user requests in near real time. ● Conducting requirements analysis and preparing specific proposals. ● Write complex code to develop scalable, flexible, and user-friendly applications across the full stack of technologies. ● Develop secure and highly performing services and APIs. ● Use distributed computing to validate and process large volumes of data to deliver insights. ● Perform feasibility studies/analysis with a critical point of view. ● Support in the maintenance (troubleshoot software and/or application problems) and evolutionary development. ● Maintain technical documentation of computer applications, diagrams, and manuals. ● Working on many different software challenges always ensures a combination of simplicity and maintainability within the code. ● Contribute to architectural designs of large complexity and size, potentially involving several distinct software components. ● Working closely with developers, testers and a variety of end users (across different cultures) to ensure technical compatibility and user satisfaction. ● To work as a member of a team, encouraging team building, motivation, and cultivating effective team relations. Qualifications E=essential; P=preferred. E - Bachelor's degree in computer engineering or related field. E - Excellent knowledge of data structures, algorithms and designing for performance, scalability and availability. E - Proficient in programming languages: Python used as Object-Oriented Programming. E - Demonstrated experience and knowledge in Linux and Docker containers E - Demonstrated experience and knowledge in some of the main cloud providers (Azure, GCP or AWS) E - Strong experience in designing and building multithreaded distributed systems. E - Demonstrated experience developing REST API E - Experience with ML/Ops technologies like Azure ML & Databricks E - Ability to design and develop relational databases which include writing efficient and well performing SQL, such as PostgreSQL. E - Experience in the use of collaborative developing tools such as: Git, Confluence, Jira, etc. E – Experience in CI/CD tools & pipelines: Github Actions, Jenkins, Docker, Kubernetes E - Problem solving capabilities. E - Strong ability to analyze and synthesize. (Good analytical and logical thinking capability) E - Proactive attitude, resolutive, used to work in a team and manage deadlines. E - Ability to learn quickly. E - Agile methodologies development (SCRUM/KANBAN). E - Minimal work experience of 5-7 years with evidence. P - Knowledge and experience in using LLM models, such as Azure Open AI services, ChatGPT, Vector Databases, AI Foundry, etc. P - Experience in the use of Redis Cache P - Experience in the use of Azure Service Bus (or another distributed queues technology) P - Ability to keep fluid communication written and oral. (English, both written and spoken) P - Experience managing a large amount of data: databases, images, etc Additional Information This role offer flexible work mode - Teams meet 1 per week at the office. 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 At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

Responsibilities

The role involves creating and maintaining scalable infrastructure for AI/ML processes and developing secure, high-performing services and APIs. Additionally, the engineer will support the deployment of AI/ML models and contribute to architectural designs.