Machine Learning Engineer (MLE) / Researcher (MLR)

Job Title: Machine Learning Engineer (MLE) / Researcher (MLR) Job Status: Full Time Experience Required: 3+ years Educational. Qualification: Advanced degree in Computer Science, Engineering, Data Science, AI, or a related field Job Location: Pune Synopsis: We are seeking highly skilled and motivated professionals in Machine Learning to join our growing Data & AI team.

Whether you are an engineer passionate about building robust, scalable AI systems, or a researcher eager to push the boundaries of machine learning innovation, we offer an environment that fosters autonomy, technical depth, and meaningful impact. In this role, you will work on cutting-edge technologies across Generative AI, NLP, and Document AI, collaborating with cross-functional teams to solve real-world business problems.

As an individual contributor, you will play a critical role in shaping and executing AI-driven solutions—either through research and experimentation or through system design, development, and deployment. You will be empowered to explore emerging models and frameworks, contribute to internal best practices, and help bring AI innovation from concept to production.

If you thrive in a fast-paced, collaborative setting and are passionate about advancing the state of AI, this opportunity is for you.

What You Will Do

• Develop and Apply ML Models: Design and build end-to-end ML solutions or lead experiments to improve accuracy, efficiency, and scalability.
• Explore and Innovate: Research and experiment with new ML techniques, especially in NLP, Generative AI, and Document Understanding, using models like Transformers and diffusion-based methods.
• Production or Proof-of-Concept Delivery: Build robust ML pipelines and APIs for production (MLE) or develop proof-of-concepts and internal benchmarks (MLR).
• Contribute to Internal Best Practices: Help shape methodologies for versioning, evaluation, experiment tracking (using MLFlow, Airflow, etc.), and model monitoring.
• Drive AI Adoption: Collaborate with product managers, engineers, and R&D teams to identify and implement AI solutions aligned with business needs.
• Ensure Responsible AI: Incorporate ethical AI practices, including bias mitigation, transparency, and regulatory compliance, into your workflow.
• Foster a Learning Culture: Lead peer reviews, contribute to internal knowledge sharing, and provide mentorship to junior team members and interns.

Requirements

• A deeply technical and curious individual who enjoys applying AI/ML to real-world challenges.
• Proficient in modern ML frameworks like Py. Torch, Tensor. Flow, Hugging Face Transformers, Scikit-learn, and data tools like Pandas and Num. Py.
• Well-versed in Natural Language Processing (NLP), Generative AI, and Document AI concepts, models, and tools (e.g., LayoutLM, Donut, spa. Cy, PaddleOCR).
• Comfortable working across the ML lifecycle—from research and prototyping (MLR) to productionization and deployment (MLE).
• Strong at communicating complex technical ideas to engineering, product, and non-technical stakeholders.
• Passionate about continuous learning, staying updated with the latest research and innovations in the AI/ML space.
• A collaborative team player who actively contributes to peer learning, mentors juniors, and believes in collective growth.
• Comfortable in fast-paced, product-driven environments with a mindset of ownership and agility.

Preferred Qualifications

• Bachelor’s/Master’s/Ph.D. in Computer Science, Machine Learning, AI, Data Science, or related fields
• 3+ years of relevant experience in AI/ML roles (MLE, MLR, or hybrid)
• Strong coding skills in Python and experience with ML engineering or research pipelines
• Familiarity with cloud environments (AWS, GCP) and containerized deployments (Docker, Kubernetes)
• Publications, patents, or contributions to open-source AI projects are a plus