Data Scientist

We are looking for a

Data Scientist with 4–8 years of experience in Machine Learning, Data Science, and expertise in Generative AI to develop intelligent solutions that solve real-world business problems. The role involves building predictive models, developing AI-powered applications, working with Large Language Models (LLMs), and collaborating with cross-functional teams to deliver scalable AI solutions. The ideal candidate should have a strong foundation in data science projects along with hands-on experience in modern AI technologies and cloud-based data platforms.

Key Responsibilities

• Develop, train, and deploy Machine Learning and Deep Learning models for business use cases.
• Perform data analysis, feature engineering, model evaluation, and performance optimization.
• Build and enhance Generative AI solutions using LLMs, embeddings, and Retrieval-Augmented Generation (RAG) techniques.
• Design and implement AI workflows using frameworks such as LangChain and LangGraph.
• Integrate AI solutions with enterprise applications, APIs, databases, and data platforms.
• Collaborate with Data Engineers, Product Owners, Architects, and business stakeholders to deliver end-to-end AI solutions.
• Monitor and improve model performance, reliability, and scalability in production environments.
• Stay updated with emerging trends in AI, Machine Learning, and Generative AI technologies.

Required Qualifications

• Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence or a related field.
• 4–8 years of experience in Data Science, Machine Learning, and AI-related roles.
• Strong programming skills in Python, PySpark. Other languages are good to have.
• Experience working with LLMs, prompt engineering, embeddings, and RAG-based solutions.
• Knowledge of LangChain and/or LangGraph for AI application development.
• Strong SQL and data analysis skills.
• Experience working with cloud platforms such as Azure, AWS, or GCP.

Preferred Skills

• Experience in delivering ML projects with deployment capabilities.
• Experience with vector databases and semantic search solutions.
• Exposure to Databricks, Spark, or large-scale data processing platforms.
• Familiarity with MLOps tools, Docker, and model deployment practices.
• Experience building AI assistants, copilots, or conversational AI applications.

Key Competencies

• Strong analytical and problem-solving skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Effective communication and stakeholder management skills.
• Passion for innovation and continuous learning in AI and Data Science.