Company Description
The NIQ Innovation team is dedicated to exploring, evaluating, designing, and implementing cutting-edge solutions that leverage the latest technologies. Within Innovation, the Enablement Team plays a critical role in bringing Machine Learning (ML) and Artificial Intelligence (AI) solutions to production. This team is primarily composed of Software Engineers, ML Engineers, AI Specialists, and MLOps Engineers, acting as enablers to ensure robust engineering and deployment of advanced solutions.
We foster a culture of continuous learning and technical excellence. Our team regularly organizes weekly study groups to share knowledge, enhance coding practices, and stay up to date with emerging tools and methodologies. Additionally, we document all proof-of-concepts (POCs) and research initiatives with a scientific and structured approach, ensuring transparency and reproducibility.
We are seeking an experienced ML/ML Ops Engineer with 4+ years of professional experience in software development to join our team. The ideal candidate has a strong foundation in software engineering principles, best practices, CI/CD pipelines implementation and knowledge of Object-Oriented Programming (OOP) fundamentals.
As an MLOps Engineer, you will play a key role in developing, engineering, and maintaining high-quality software solutions, working on Machine Learning projects and some Agentic Pipelines that drive innovation across the organization.
Key responsibilities
Design and implement the pipelines for training and deployment of ML and AI models.
Create and maintain a scalable code to deliver AI/ML processes, responding to the user's requests in near real time.
Design dashboards to monitor a system.
Collect metrics and create alerts based on them.
Design and execute unit and performance tests.
Perform feasibility studies/analysis with a critical point of view.
Support and maintain (troubleshoot issues with data and applications).
Develop comprehensive technical documentation, including diagrams and manuals.
Tackle diverse software challenges, ensuring simplicity and maintainability in code design.
Contribute to architectural designs of large complexity and size, potentially involving several distinct software components.
Working closely with other engineers, data scientists and a variety of end-users (across diverse cultures) to ensure technical compatibility and user satisfaction.
Work as a member of a team, encouraging team building, motivation, and cultivating effective team relations.
Qualifications
Essential (E):
4+ years of professional experience in software development and/or CI/CD pipeline development
Bachelor's degree in Computer Science or related field.
Proficient in Python programming, with strong knowledge of OOP and unit testing.
Demonstrated experience and knowledge in Linux and Docker containers.
Experience with major cloud providers (Azure, GCP, or AWS).
Familiarity with ML/Ops technologies (e.g., Azure ML).
Experience building Agentic pipelines.
Experience designing monitoring dashboards (Grafana or similar).
Experience with container orchestrators (Kubernetes, Docker Swarm).
Experience with AI/ML frameworks (PyTorch, ONNX, TensorFlow).
Experience using collaborative development tools (Git, Confluence, Jira, etc.).
Problem-solving capabilities and strong analytical/logical thinking.
Self-driven, proactive attitude, resolutive, and team-oriented.
Ability to learn quickly and manage deadlines.
Agile development methodologies (SCRUM/KANBAN).
Excellent communication skills in English (written and spoken).
Preferred (P):
Master's degree in Computer Engineering or related discipline.
Experience with distributed systems.
Knowledge in Power BI.
Hands?on experience building, fine?tuning, or deploying ML models across domains such as Computer Vision, Natural Language Processing (NLP), and classical machine?learning methods (e.g., Decision Trees).
Familiarity with modern foundation and open?source model families such as Qwen, LLaMA, and other large language models (LLMs).
Additional Information
This role is opened in both Chennai & Pune
Our Benefits
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