AI/ML – Python

Job Description

AI/ML Python (Data Scientist)_Full-Time_Chennai

Job Tittle: AI/ML Python (Data Scientist)

Job Type: Full-Time

Location:Chennai

Experience: 38 years

Shift Timing: 11 AM 8 PM

Job Description:

We are seeking highly skilled and motivated Python Developers with AI/ML experience and familiar with prompt engineering and LLM integrations to join our Innovations Team. The team is responsible for exploring emerging technologies, building proof-of-concept (PoC) applications, and delivering cutting-edge AI/ML solutions that drive strategic transformation and operational efficiency.

As a core member of the Innovations Team, you will work on AI-powered products, rapid prototyping, and intelligent automation initiatives across domains such as mortgage tech, document intelligence, and generative AI.

Key Responsibilities:

*Design, develop, and deploy scalable AI/ML solutions and prototypes.

*Build data pipelines, clean datasets, and engineer features for training models.

*Apply deep learning, NLP, and classical ML techniques.

*Integrate AI models into backend services using Python (e.g., FastAPI, Flask).

*Collaborate with cross-functional teams (e.g., UI/UX, DevOps, product managers).

*Evaluate and experiment with emerging open-source models (e.g., LLaMA, Mistral, GPT).

*Stay current with advancements in AI/ML and suggest opportunities for innovation.

Required Skill Set:

Technical Skills:

*Programming Languages: Python (strong proficiency), experience with NumPy, Pandas, Scikit-learn.

*AI/ML Frameworks: TensorFlow, PyTorch, HuggingFace Transformers, OpenCV (nice to have).

*NLP & LLMs: Experience with language models, embeddings, fine-tuning, and vector search.

*Prompt Engineering: Experience designing and optimizing prompts for LLMs (e.g., GPT, Claude, LLaMA) for various tasks such as summarization, Q&A, document extraction, and multi-agent orchestration.

*Backend Development: FastAPI or Flask for model deployment and REST APIs.

*Data Handling: Experience in data preprocessing, feature engineering, and handling large datasets.

*Version Control: Git and GitHub.

*Database Experience: SQL and NoSQL databases; vector DBs like FAISS, ChromaDB, or Qdrant preferred.

Nice to Have (Optional):

*Experience with Docker, Kubernetes, or cloud environments (Azure, AWS).

*Familiarity with LangChain, LlamaIndex, or multi-agent frameworks (CrewAI, AutoGen).

Soft Skills:

*Strong problem-solving and analytical thinking.

*Eagerness to experiment and explore new technologies.

*Excellent communication and teamwork skills.

*Ability to work independently in a fast-paced, dynamic environment.

*Innovation mindset with a focus on rapid prototyping and proof-of-concepts.

*Educational Qualification:

*Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field.

*Certifications in AI/ML or cloud platforms (Azure ML, TensorFlow Developer, etc.) are a plus.

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