Senior Machine Learning Engineer(Data Scientist)

Location: Pune, India

Department: Software Development

Experience: 7+ Years

About the Role :

Key Responsibilities :

• Lead end-to-end machine learning projects, from scoping and data discovery through deployment, monitoring, and iteration.
• Design and deploy production-grade ML systems, including batch processing jobs, real-time APIs, and data and feature pipelines.
• Develop clean, reliable, fault-tolerant, and well-tested code using Python and SQL.
• Apply modern MLOps practices, including CI/CD, Docker, Kubernetes, model registries, and feature stores.
• Use AI-assisted development and coding tools to improve engineering productivity, code quality, testing, and development workflows.
• Select and apply appropriate machine learning approaches, including classical ML, deep learning, NLP, LLMs, RAG, and agentic AI systems.
• Work on use cases such as recommendations, search and ranking, forecasting, pricing, fraud detection, personalization, and supply chain optimization.
• Own feature engineering, experimentation, model evaluation, A/B testing, model monitoring, drift detection, and retraining strategies.
• Modernize legacy ML solutions and improve inference latency, cost efficiency, reproducibility, observability, and governance.
• Translate ambiguous business requirements into clearly defined machine learning problems and communicate technical trade-offs to stakeholders.
• Contribute to technical standards, ML platform improvements, and mentor junior engineers and data professionals.

Required Skills & Qualifications :

• Master's or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Physics, or a related quantitative discipline; equivalent practical experience will also be considered.
• Proven experience delivering machine learning products into production at scale.
• Strong understanding of data structures, algorithms, data modelling, and software architecture.
• Strong knowledge of the end-to-end ML lifecycle, including data discovery, feature engineering, model development, evaluation, deployment, and monitoring.
• Advanced Python programming skills with experience in libraries and tools such as Pandas, NumPy, Scikit-learn, and Jupyter.
• Strong SQL skills for data analysis and analytical workflows.
• Hands-on experience using AI-assisted coding tools or coding agents as part of the software development lifecycle.
• Experience with at least one major cloud platform; experience with Google Cloud Platform is preferred.
• Practical knowledge of Docker, Kubernetes, and CI/CD pipelines for machine learning workflows.
• Strong understanding of applied statistics, including hypothesis testing, sampling, experimentation, A/B testing, anomaly detection, predictive modelling, and regression analysis.
• Strong communication and stakeholder management skills, with the ability to manage multiple projects and work effectively across cross-functional teams.

Preferred Skills :

• Experience with agent frameworks and AI agent development platforms.
• Hands-on experience with PyTorch or TensorFlow, particularly for computer vision or multimodal AI use cases.
• Experience with distributed data processing technologies such as Spark, Beam, or Dataflow.
• Experience with streaming technologies such as Kafka or Pub/Sub.
• Knowledge of feature stores and experiment-tracking tools such as Feast, MLflow, Weights & Biases, or similar platforms.
• Experience working on machine learning use cases in retail, e-commerce, fintech, or other large-scale digital platforms.
• Contributions to open-source projects, published technical work, Kaggle projects, or a strong public technical portfolio.

What We Offer :

• Opportunity to work on modern AI and machine learning technologies.
• Exposure to complex, large-scale business and technology challenges.
• Collaborative environment with experienced engineering and data professionals.
• Opportunities for continuous learning, technical development, and career growth.

Equal Opportunity :