Description

Required Technical Skills:

Programming & Frameworks

•                     Strong proficiency in Python

·                     NumPy, Pandas, Scikit learn, TensorFlow, PyTorch, spaCy, NLTK

•                     Experience building production grade AI pipelines

AI / ML / GenAI:

•                     LLMs and Generative AI

•                     NLP techniques

•                     RAG architectures

•                     Embeddings (Word2Vec, GloVe, ELMo)

•                     Vector databases

Cloud & Tools:

•                     Azure OpenAI / AWS Bedrock

•                     HuggingFace ecosystem

•                     LangChain

•                     Model fine tuning and evaluation tools

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Nice to Have Skills:

•                     Experience with enterprise AI platforms

•                     Knowledge of MLOps pipelines

•                     Understanding of AI governance, ethics, and security

•                     Prior experience in financial services or enterprise domains

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Soft Skills & Expectations:

•                     Strong problem solving and analytical thinking

•                     Ability to translate business problems into AI solutions

•                     Excellent communication with technical and non-technical stakeholders

•                     Fast learner with a mindset to adapt to evolving AI technologies

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Typical Experience Range:

•           3–6 years for mid-level AI Engineer

•           7+ years for senior / lead AI Engineer roles

(with hands on AI/ML and GenAI experience)

Key Skills

Education

Any Graduate