Senior Machine Learning Engineer

Location: On Site / [Gurgaon, India]

Experience: 5+ Years

Type: Full-time / Contract

We are looking for an experienced Machine Learning Engineer with a strong background in building, deploying, and scaling ML models in production environments. You will work closely with Data Scientists, Engineers, and Product teams to translate business challenges into data-driven solutions and build robust, scalable ML pipelines.

This is a hands-on role requiring a blend of applied machine learning, data engineering, and software development skills.

• Design, build, and deploy machine learning models to solve real-world business problems
• Work on the end-to-end ML lifecycle: data preprocessing, feature engineering, model selection, training, evaluation, deployment, and monitoring
• Collaborate with cross-functional teams to identify opportunities for machine learning across products and workflows
• Develop and optimize scalable data pipelines to support model development and inference
• Implement model retraining, versioning, and performance tracking in production
• Ensure models are interpretable, explainable, and aligned with fairness, ethics, and compliance standards
• Continuously evaluate new ML techniques and tools to improve accuracy and efficiency
• Document processes, experiments, and findings for reproducibility and team knowledge-sharing

• 5+ years of hands-on experience in machine learning, applied data science, or related roles
• Strong foundation in ML algorithms (regression, classification, clustering, NLP, time series, etc.)
• Experience with production-level ML deployment using tools like MLflow, Kubeflow, Airflow, FastAPI, or similar
• Proficiency in Python and libraries like scikit-learn, TensorFlow, PyTorch, XGBoost, pandas, NumPy
• Experience with cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes)
• Strong understanding of software engineering principles and experience with Git, CI/CD, and version control
• Experience with large datasets, distributed systems (Spark/Databricks), and SQL/NoSQL databases
• Excellent problem-solving, communication, and collaboration skills

• Experience with LLMs, Generative AI, or transformer-based models
• Familiarity with MLOps best practices and infrastructure as code (e.g., Terraform)
• Experience working in regulated industries (e.g., finance, healthcare)
• Contributions to open-source projects or ML research papers

• Work on impactful problems with cutting-edge ML technologies
• Collaborate with a diverse, expert team across engineering, data, and product
• Flexible working hours and remote-first culture
• Opportunities for continuous learning, mentorship, and growth