Machine Learning Engineer (MLE) / Researcher (MLR)
On-sitePune, Maharashtra, India
Job Summary
Design and build end-to-end ML solutions, leading experiments to improve accuracy, efficiency, and scalability across Generative AI, NLP, and Document Understanding. Research and experiment with emerging models like Transformers and diffusion-based methods, then develop robust pipelines, APIs, and proof-of-concepts for production or internal benchmarks. Shape internal best practices for versioning, evaluation, and model monitoring using tools like MLFlow and Airflow while collaborating with product and engineering teams to implement AI-aligned solutions. Incorporate ethical AI practices including bias mitigation and regulatory compliance throughout the workflow. Lead peer reviews, conduct knowledge sharing, and mentor junior team members to foster a collaborative learning culture.
Required Qualifications
- 3+ years
- Advanced degree in Computer Science, Engineering, Data Science, AI, or a related field
- A deeply technical and curious individual who enjoys applying AI/ML to real-world challenges
- Proficient in modern ML frameworks like PyTorch, TensorFlow, Hugging Face Transformers, Scikit-learn, and data tools like Pandas and NumPy
- Well-versed in Natural Language Processing (NLP), Generative AI, and Document AI concepts, models, and tools (e.g., LayoutLM, Donut, spaCy, 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
Desired 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
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