Data Scientist / MLOps Engineer

As a Data Scientist / MLOps Engineer at our company, you will be an integral part of our AI & ML team, contributing to the design, development, and deployment of scalable machine learning solutions. Your role will focus on operational excellence, data engineering, and GenAI integration. **Key Responsibilities:** - Build and maintain scalable machine learning pipelines using Python. - Deploy and monitor models using MLFlow and MLOps stacks. - Design and implement data workflows using standard python libraries such as PySpark. - Utilize standard data science libraries (scikit-learn, pandas, numpy, matplotlib, etc.) for model development and evaluation. - Work with GenAI technologies, including Azure OpenAI and other open source models for innovative ML applications. - Collaborate closely with cross-functional teams to meet business objectives. - Handle multiple ML projects simultaneously with robust branching expertise. **Must-Have Qualifications:** - Expertise in Python for data science and backend development. - Solid experience with PostgreSQL and MSSQL databases. - Hands-on experience with standard data science packages such as Scikit-Learn, Pandas, Numpy, Matplotlib. - Experience working with Databricks, MLFlow, and Azure. - Strong understanding of MLOps frameworks and deployment automation. - Prior exposure to FastAPI and GenAI tools like Langchain or Azure OpenAI is a big plus. **Preferred Qualifications:** - Experience in the Finance, Legal or Regulatory domain. - Working knowledge of clustering algorithms and forecasting techniques. - Previous experience in developing reusable AI frameworks or productized ML solutions. You will be required to possess a B.Tech in Computer Science, Data Science, Mechanical Engineering, or a related field. **Why Join Us ** - Work on cutting-edge ML and GenAI projects. - Be part of a collaborative and forward-thinking team. - Opportunity for rapid growth and technical leadership. The benefits of this full-time position include leave encashment, paid sick time, paid time off, Provident Fund, and the option to work from home. If you meet the qualifications and are excited about the opportunity to work on innovative AI & ML projects, we encourage you to apply and be a part of our dynamic team in Kolkata.,