SonataOne
AI/ML Engineer
- Compensation
- Not disclosed
- Location
- Pune, Maharashtra, India
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- 6–8 years of software engineering experience with strong Python development skills.
- 3+ years of hands-on experience building and deploying Machine Learning solutions.
- Hands-on 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 frameworks.
- Strong SQL and data analysis skills.
- Experience with feature engineering, model evaluation, and experimentation frameworks.
- Familiarity with MLOps practices, 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 cloud platforms.
- Strong analytical, problem-solving, and communication skills.
Nice to have
- Experience with optimization techniques, routing algorithms, scheduling, or Operations Research.
- Knowledge of demand forecasting, customer propensity modelling, pricing analytics, and recommendation engines.
- Experience with explainable AI, model evaluation frameworks, and experimentation methodologies.
Full description
Job Title : AI/ML Engineer
Location: Pune | Hybrid
Experience: 6–8 Years
Primary Skills: Python, SQL, Machine Learning, ML Modelling, Agentic AI
About the Role
We are looking for an experienced AI/ML Engineer to join our AI Engineering team and build intelligent, scalable, and production-ready AI/ML solutions.
The role will focus on designing, developing, deploying, and optimizing Machine Learning models and Agentic AI solutions that deliver measurable business value across customer-facing and operational workflows.
The ideal candidate should have strong hands-on experience in Python, Machine Learning, SQL, MLOps, and Agentic AI frameworks, along with the ability to translate business requirements into scalable AI solutions.
Key ResponsibilitiesMachine Learning Solution Development
- 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.
- Work closely with product, engineering, and business teams to translate requirements into production-ready AI/ML solutions.
Agentic AI Development
- Design and develop agentic workflows using frameworks such as LangGraph, LangChain, AutoGen, CrewAI, or similar.
- Develop AI agents capable of reasoning, task orchestration, tool usage, and multi-step workflow execution.
- Integrate AI agents with enterprise systems, APIs, databases, and business applications.
- Combine Agentic AI capabilities with predictive and analytical ML models.
Data Engineering & Integration
- 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.
MLOps & Productionization
- 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 cloud platforms.