primary : Hands-on experience in building and deploying AI/ML models including Generative AI, LangChain and NLP, Python Programming, SQL experience detailed JD:

Design, build, and optimize machine learning pipelines using Google Cloud Services.Core Python Fundamentals:OOPs concepts, Functions &
Modules, Iterators / Generators,Exception handling, Decorators, Typing / Dataclasses,Data Structures &
Algorithms,Design Patterns.Machine Learning:NumPy, Pandas, Scikit-learn, XGBoost, LightGBM,PyTorch, TensorFlow, MLflow, Matplotlib*Natural Language Processing (NLP &
OCR)*:spaCy, NLTK, Transformers, Sentence-Transformers, Gensim, pytesseract, EasyOCR.Generative &
Agentic AI:LangChain, LangGraph, LlamaIndex, FAISS / Pinecone,OpenAI / Anthropic / Gemini APIs, LangGraph Agents

More details on the requirement / Skills:
Bachelors or higher degree in Data Science, Computer Science, Information Systems, Engineering or related field
Hands-on experience in building and deploying AI/ML models including Generative AI, LangChain and NLP




In-depth knowledge of machine learning algorithms, software architecture, libraries and frameworks to create AI that accomplishes outlined goals
Rigorous knowledge of Python programming to develop software. Java is a plus.
Skillful in developing and maintaining detailed, easy-to-read documentation including data dictionaries, model documentation, and code documentation
Experience in integrating AI/ML into existing applications in batch and real-time
Effective verbal and written communication skills to collaborate within and outside the team
Ability to write and understand complex SQL(Hive/PySpark-dataframes) and optimize data pipelines. Experience with NoSQL is a plus
Experience in Big Data ecosystem & Cloud technologies is nice to have
Experience with GitHub and leveraging CI/CD pipelines
Experience in taking models through AI/ML governance in highly regulated industry is a plus

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