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 robust 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.

📌 Data Scientist (Karnataka)
🏢 Siemens
📍 Karnataka