Machine Learning Engineer

Job Title: Machine Learning Engineer

Location: Pune | Hybrid

Experience: 6-8 Years

Primary Skills: Python, SQL, Machine Learning, ML Modelling, Agentic AI

We are building AI-powered solutions that help businesses improve customer outcomes, operational efficiency, revenue growth, and decision-making through the practical application of Machine Learning and AI.

As part of the AI Engineering team, you will work on the design, development, deployment, and optimization of ML-driven solutions that deliver measurable business value across customer-facing and operational workflows.

• Design, develop, and deploy Machine Learning models for prediction, recommendation, optimization, classification, and forecasting use cases.
• Build scalable ML pipelines covering data preparation, feature engineering, model training, evaluation, and deployment.
• Apply statistical and machine learning techniques to solve business problems using structured and semi-structured data.
• Collaborate with Product, Engineering, and Business teams to translate requirements into production-ready AI/ML solutions.

• Build and maintain data pipelines to ingest, transform, and process data from enterprise systems, APIs, databases, and external sources.
• Develop reusable data services and ML components to accelerate solution delivery.
• Ensure data quality, reliability, and scalability for model development and production workloads.

• Implement CI/CD pipelines for ML models and AI services.
• Establish model monitoring, performance tracking, retraining, and deployment processes.
• Manage model lifecycle, experimentation, versioning, and governance.
• Support deployment of AI/ML workloads on AWS or Azure cloud platforms.

• Follow best practices for software engineering, testing, observability, and documentation.
• Leverage AI-assisted development tools to improve engineering productivity.
• Contribute to reusable frameworks, engineering standards, and best practices across the AI team.

• 6-8 years of software engineering experience with strong Python development skills.
• 3+ years of hands-on experience building and deploying Machine Learning solutions.
• Experience building Agentic AI solutions using LangGraph, LangChain, AutoGen, CrewAI, or similar frameworks.
• Strong understanding of supervised and unsupervised learning techniques.
• Experience with recommendation systems, predictive analytics, forecasting, classification, anomaly detection, or optimization.
• Hands-on experience with Scikit-Learn, XGBoost, LightGBM, TensorFlow, PyTorch, or equivalent ML frameworks.
• Strong SQL and data analysis skills.
• Experience with feature engineering, model evaluation, and experimentation.
• Familiarity with MLOps, model deployment, monitoring, and lifecycle management.
• Experience building data pipelines and integrating enterprise systems through APIs and databases.
• Experience with Docker, CI/CD, Git, and modern software engineering practices.
• Experience working with AWS or Azure.
• Strong analytical, problem-solving, and communication skills.

• Optimization techniques, routing algorithms, scheduling, or Operations Research.
• Demand forecasting, customer propensity modeling, pricing analytics, and recommendation engines.
• Explainable AI, model evaluation frameworks, and experimentation methodologies.
• Snowflake, Databricks, or modern cloud data platforms.
• Large-scale data processing and distributed computing.
• Analytical dashboards and decision-support solutions.

• LLMs, RAG architectures, vector databases, and agentic frameworks.
• Integration of ML solutions with GenAI applications.

• Sales, pricing, customer intelligence, e-commerce, distribution, logistics, supply chain, or ERP/CRM ecosystems.

• Languages: Python, SQL
• ML Frameworks: Scikit-Learn, XGBoost, LightGBM, TensorFlow, PyTorch
• Agentic AI: LangGraph, LangChain, AutoGen, CrewAI
• Data: Snowflake, SQL, APIs, Data Pipelines
• MLOps: MLflow, Docker, CI/CD, Model Monitoring
• Cloud: AWS / Azure
• Development Tools: GitHub, Azure DevOps, GitLab, GitHub Copilot, Cursor