AI/ML Python (Data Scientist)

AI/ML Python (Data Scientist)_Full-Time_Chennai

Job Tittle: AI/ML Python (Data Scientist)
Job Type: Full-TimeLocation:ChennaiExperience: 3-8 yearsShift Timing: 11 AM to  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:*Bachelors or Masters 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.----------------If you are interested, please share your updated resume along with the following details for the next steps:

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