ML Engineer (Must have- Python & R), Pune candidates preferred

Responsibilities

• Develop, implement, and standardize marketing science solutions originated as proofs-of-concept and prototypes within the Lab, transforming them into scalable, reusable, production-ready code.
• Build analytical pipelines at scale using cloud services, containerized applications, and distributed systems to support pilot deployments and graduation hand-offs.
• Optimize Lab models and algorithms through code optimization, high-performance computing, and real-time techniques.
• Continuously improve the efficiency and quality of Lab solutions-ensuring adherence to coding guidelines, testing standards, documentation, and reproducibility.
• Identify best practices and drive continuous improvement of tooling, infrastructure, and engineering methods within the Lab.
• Collaborate closely with Senior Data Scientists and the Incubation Lab's Product Lead, to translate experimental code into platform-ready components; partner with Solutions Consultants and the Innovation Commercial Lead to ensure technical feasibility of client-facing solutions.
• Partner with downstream Product & Tech and Modeling COE teams to ensure smooth graduation of Lab innovations into the broader marketing analytics platform.
• Serve as a key engineering support resource for issues, bugs, and blockers on Lab-deployed models and pipelines.
• Stay up to date with advancements in software engineering, ML infrastructure, MLOps, and AI tooling, and work with the Lab leadership to apply them to our platform.
• Foster a culture of engineering excellence and experimentation within the team by serving as a technical mentor and multiplier to peers and juniors.
• Bachelor's or Master's degree reflecting strong statistical, mathematical, or computer science skills.
• 3+ years of professional Python development experience.
• Working understanding of R .
• Experience with statistical and predictive modeling sufficient to engage substantively with Data Scientists on algorithm implementation.
• Able to manage code deployments; strong experience with Git .
• Solid understanding of containerization (Docker) -building and managing images.
• Experience creating, managing, and maintaining code documentation.
• Solid skills in performance optimization and scalability (e.g., parallelization, code optimization, functions-as-a-service).
• Familiarity with cloud platforms (AWS, Azure, or GCP) and distributed systems.
• Familiarity with product development tools and apps, namely Jira, Confluence, and Git.
• Ability to present and explain complex technical concepts to less experienced colleagues and to non-engineering stakeholders.
• Soft Skills
• Strong analytical and problem-solving skills.
• Comfortable operating in ambiguous, fast-paced environments where solutions are still being defined.
• Experimentation mindset-willingness to prototype, iterate, and learn from failure.
• Good attention to detail-ensures all outputs are delivered professionally and accurately.
• Good interpersonal skills-treats others with respect, is cooperative, friendly, and considerate; a good role model who helps build teamwork and team spirit.
• Well-organized and flexible; demonstrates self-confidence, decisiveness, and commitment; able to work independently without constant support.
• Ease of communication in an English-speaking business environment.

Benefits

Additional Information

As an ML Engineer, you will be the engineering backbone of NIQ's Marketing Effectiveness Incubation Lab-transforming experimental marketing science prototypes into scalable, production-ready solutions. You will join an innovation- and client-first culture where creative thinking and entrepreneurial spirit are championed, and where the engineering rigor you bring is what allows next-gen ideas to graduate from proof-of-concept into our evolving marketing analytics platform. Working closely with a team of senior data scientist, solutions consultants, and the Data Science & Product Lead of the Incubation Lab, not to mention the broader Marketing Effectiveness Data Science & Product team you will own the path from algorithm to deployable code-ensuring quality, performance, and reproducibility across everything the Lab ships to clients and to the broader Product & Tech organization. Mission Develop and operationalize Marketing Science solutions originated within the Incubation Lab, as well as supporting the Core team Support the journey from proof-of-concept through pilot deployment to graduation into NIQ's production marketing analytics platform. Transform experimental prototypes into scalable, production-ready code that meets enterprise standards for performance, reliability, and maintainability.

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