AI/Machine Learning Engineer Data Scientist

Job Title

AI/Machine Learning Engineer Data Scientist

Experience

5+ Years of Experience

Location

Chennai - Work from Office 4 days per Week.

Job Summary

We are looking for a skilled professional with strong experience in Python, SQL, and

Machine Learning to design, develop, and deploy data-driven solutions. The candidate will

work closely with business and technical teams to build scalable analytics and ML models

that drive insights and decision-making.

Key Responsibilities

• Develop, optimize, and maintain applications using Python

• Write complex and optimized queries using SQL for data extraction, transformation,

and analysis

• Design, build, and deploy Machine Learning models for predictive and analytical use

cases

• Perform data preprocessing, feature engineering, and model evaluation

• Work with large datasets and ensure data quality and consistency

• Collaborate with cross-functional teams including Data Engineers, Business Analysts,

and Product teams

• Document solutions, models, and processes clearly

• Support model monitoring, performance tuning, and enhancements

Required Skills

• Strong proficiency in Python (Pandas, NumPy, Scikit-learn, etc.)

• Strong hands-on experience with SQL (joins, subqueries, performance tuning)

• Solid understanding of Machine Learning concepts (regression, classification,

clustering, model evaluation)

• Experience in Machine Learning Algorithms such as Supervised, Unsupervised, Deep

Learning and Reinforcement Learning.

• Hands-on experience in conducting statistical data analysis (EDA, forecasting,

clustering, hypothesis testing, etc.) and applying machine learning techniques

(Classification/Regression, NLP, time-series analysis, etc.).

• Experience in data analysis, predictive modelling and statistical techniques

• Ability to translate business problems into data/ML solutions and advanced analytics

• Skilled in PoC building, quick prototyping, and converting them into production

systems

Good to Have

• Experience with ML frameworks (TensorFlow, PyTorch)

• Exposure to data visualization tools (Power BI, Tableau, Matplotlib, Seaborn)

• Knowledge of cloud platforms (AWS, Azure, or GCP)

• Good Knowledge in LLM, Agentic AI frameworks such as Langgraph, CrewAI or

OpenAI SDK or Google ADK

• Good Knowledge in MCP architecture and A2A frameworks

• Experience with APIs, ETL pipelines, or big data tools

• Understanding of MLOps concepts

Soft Skills

• Strong analytical and problem-solving skills

• Good communication and stakeholder management

• Ability to work independently and in a team environment