Machine Learning Engineer

Job Title: ML Engineer – AI/ML Platform & MLOpsLocation: Noida | Bangalore | KolkataEmployment Type: Full-timeExperience: 3–8 YearsIndustry Focus: IT Services, Artificial Intelligence & AnalyticsPosition SummaryWe are seeking a skilled ML Engineer – AI/ML Platform & MLOps with 3-8 years of experience in building, deploying, monitoring, and scaling end-to-end Machine Learning solutions. The ideal candidate will have expertise across the complete AI/ML lifecycle, including data engineering, feature engineering, model development, deployment, MLOps, monitoring, governance, and AI application development. This role involves designing scalable AI platforms, productionizing ML models, and enabling enterprise-wide AI adoption through robust engineering practices.Strategic ResponsibilitiesDesign and develop scalable data pipelines for structured and unstructured data to support enterprise AI initiatives.Build reusable feature engineering frameworks, feature stores, and data quality validation pipelines.Develop, train, optimize, and deploy Machine Learning models for business use cases such as demand forecasting, demand sensing, customer churn prediction, recommendation systems, price elasticity, optimization, NLP, regression, classification, and time-series forecasting.Build AI-powered business applications, intelligent decision-support systems, and production-grade ML services.Develop APIs, microservices, inference services, and scoring engines for real-time and batch model serving.Design and implement robust MLOps pipelines, including CI/CD workflows, automated model deployment, experiment tracking, and model versioning.Build automated model retraining and continuous delivery pipelines across cloud and on-premise environments.Implement monitoring frameworks for model drift, data drift, concept drift, explainability, fairness, bias detection, and performance degradation.Contribute to the development of enterprise AI/ML platforms, reusable ML components, accelerators, and governance frameworks.Develop monitoring dashboards, operational metrics, and governance workflows to ensure reliable AI system performance.Collaborate with Data Scientists, Data Engineers, Product teams, and Business stakeholders to build scalable AI solutions.Continuously evaluate emerging AI/ML technologies and integrate engineering best practices into platform development.Required Experience:3–8 years of experience in Machine Learning Engineering, AI Platform Engineering, or MLOps.Strong experience developing and deploying production-grade Machine Learning solutions.Hands-on experience with end-to-end ML lifecycle, including data engineering, feature engineering, model training, deployment, and monitoring.Experience building scalable AI applications, inference services, and ML APIs.Strong understanding of MLOps practices including CI/CD, model versioning, experiment tracking, and automated retraining.Experience deploying Machine Learning solutions on cloud platforms and production environments.Knowledge of model monitoring, governance, explainability, fairness, and responsible AI practices.Strong understanding of scalable software engineering principles and distributed ML systems.Technical Skills:Machine Learning: Scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, PyTorchData Engineering: SQL, PySpark, Databricks, Apache Spark, Airflow, BigQueryMLOps: MLflow, Kubeflow, SageMaker, Vertex AI, Azure Machine Learning, DatabricksProgramming: Python, FastAPI, Flask, REST APIsCloud Platforms: Microsoft Azure, AWS, Google Cloud Platform (GCP)Containers & DevOps: Docker, Kubernetes, Terraform, GitHub Actions, JenkinsGood to Have:Experience developing enterprise-scale AI products and intelligent business applications.Hands-on experience working with end-to-end AI/ML platforms.Exposure to LLMOps, Generative AI deployment, and modern AI platform architectures.Understanding of feature stores, model registries, and metadata management.Experience deploying highly scalable, distributed Machine Learning systems in production.Familiarity with AI governance, model observability, and cloud-native ML infrastructure. Educational QualificationsBachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related field. Soft Skills:Strong analytical and problem-solving skills.Excellent communication and collaboration abilities.Ability to work effectively in cross-functional and agile teams.Strong ownership mindset with a focus on delivering scalable AI solutions.Passion for innovation and continuous learning in emerging AI technologies.Ability to manage multiple priorities in a fast-paced environment.Detail-oriented with a strong focus on quality, performance, and business impact.About Polestar: As a data analytics and enterprise planning powerhouse, Polestar Analytics helps its customers bring out the most sophisticated insights from their data in a value-oriented manner. From analytics foundation to analytics innovation initiatives, we offer a comprehensive range of services that help businesses succeed with data.We have a geographic presence in the United States (Dallas, Manhattan, New York, Delaware), UK(London) & India (Delhi-NCR, Mumbai, Bangalore & Kolkata) and have 600+ people strong world-class team. We are growing at a rapid pace and plan to double our growth each year. This provides immense growth and learning opportunities for those who are choosing to work with Polestar. We hire from most of the Premier Undergrad and MBA institutes. We are serving customers across 20+ countries. Our expertise and deep passion for what we do has brought us many accolades.The list includes: - Recognized as the Top 50 Companies for Data Scientists in 2023 by AIM.Financial Times awarded Polestar as High-Growth Companies across Asia-Pacific for a 5th time in a row in 2023.Featured on the Economic Times India's Growth Champions in FY2023.Polestar Analytics Selected as a 2022 Red Herring Global Companies.Top Data Science Providers in India 2023: Penetration and Maturity (PeMa) Quadrant.India’s most promising data science companies in 2022 by Analytics Insight.Featured on Forrester's Now Tech: Customer Analytics Service Providers Report Q2, 2021.Recognized as Anaplan's India RSI Partner of the Year FY21.Elite Qlik Partner and a member of the ‘Qlik Partner Advisory Council’ & Microsoft Gold Partners for Data & Cloud Platforms Culture at Polestar.We have one of the most progressive people’s practices which are all aimed at enabling fast paced growth for those who deserve it.