Senior Data Scientist

About Ganit Inc

- Founded by senior industry experts, Ganit is the fastest-growing data science company in Chennai with offices in Bengaluru, Mumbai & New Jersey.
- Ganit has flipped the data science value chain. We don't start with a technique. For us, consumption comes first. With this philosophy we have successfully scaled from being a small start-up to 200 resource company with clients in the US, Singapore, Africa, UAE, and India.
- We are helping Fortune 500 companies across the globe to maximize their Decision-Making Power (#DMP). We are looking for experienced data enthusiasts who can make data talk to them.

Job Overview:

We are looking for a highly skilled and self-motivated Generative AI Engineer with over 5 years of experience to join our dynamic Data Science team. The ideal candidate will bring deep expertise in Generative AI, along with a solid foundation in Data Science. You should have hands-on experience in designing, deploying, and managing Large Language Model (LLM)-based solutions, developing intelligent AI agents, and delivering scalable AI applications on cloud platforms.

In this role, you will be instrumental in building end-to-end intelligent systems that drive tangible business impact across diverse domains.

Open Roles:

Gen AI Data Scientist: 4 - 6 years

Gen AI Senior Data Scientist: 6 - 9 years

Notice Period:
Immediate to 30 days

Key Responsibilities:

Qualifications:

· Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.

· 4+ years of hands-on experience in machine learning and data science.

· Proficient in Python and ML libraries (scikit-learn, pandas, Hugging Face Transformers, etc.).

Generative AI & LLMs

- Lead, Design, fine-tune, and deploy Large Language Models (LLMs) using platforms such as AWS Bedrock and open-source model hubs.
- Build and manage autonomous AI agents using frameworks like Lang Graph, Crew AI, Phidata, Auto Gen, or AWS Bedrock Agents.
- Implement Retrieval-Augmented Generation (RAG) pipelines with vector databases (e.g., Pinecone, FAISS, PGVector) to enhance contextual responses.
- Conduct LLM evaluations using prompt engineering techniques and custom fine-tuning to optimize performance for business use cases.
- Evaluate model performance using appropriate metrics and optimize for accuracy, efficiency, and scalability.
- Stay updated with the latest research in Gen AI and integrate relevant innovations into ongoing projects.
- Contribute to model governance, interpretability, and responsible AI practices.

Programming & Software Engineering

- Write clean, modular, and well-documented Python code, leveraging machine learning libraries and agentic frameworks (e.g., Lang Graph, Auto Gen, Crew AI).
- Deploy AI agents on cloud platforms with a focus on user experience, including building lightweight front-end interfaces using tools like Streamlit or Gradio.
- Use Git for version control, collaborating through pull requests, code reviews, and CI/CD workflows.
- Adhere to software engineering best practices, including testing, code modularity, and documentation for maintainability and scalability.

Teamwork & Communication

- Collaborate with cross-functional teams including data engineers, product managers, and business stakeholders to deliver AI-driven solutions.
- Translate complex technical concepts into clear insights for both technical and non-technical audiences.
- Manage multiple projects simultaneously, ensuring timely delivery and high-quality outputs.

Must have - Data Science & NLP

- Develop and deploy supervised ML models including regression, classification, and time-series forecasting.
- Apply NLP techniques for text classification, sentiment analysis, and named entity recognition.
- Use vector embeddings for similarity search and information retrieval