Job Details
5–12 years of experience in AI/ML/NLP/LLM engineering or AI consulting.
Solid hands‑on experience with Generative AI, LLMs, prompt engineering, embeddings, RAG pipelines.
Proficiency with Python, ML frameworks (PyTorch/TensorFlow), and AI cloud platforms (Azure, AWS, GCP).
Experience with Azure OpenAI / OpenAI API, vector databases (Pinecone, FAISS, Chroma), LangChain, LlamaIndex.
Understanding of MLOps/AIOps, CI/CD pipelines, and model lifecycle management.
Familiarity with data engineering, structured/unstructured data processing, and analytics tooling.
Consulting & Business Skills
Ability to translate complex AI concepts into business-friendly language.

Must Have Skills
5–12 years of experience in AI/ML/NLP/LLM engineering or AI consulting.
Strong hands‑on experience with Generative AI, LLMs, prompt engineering, embeddings, RAG pipelines.
Proficiency with Python, ML frameworks (PyTorch/TensorFlow), and AI cloud platforms (Azure, AWS, GCP).
Experience with Azure OpenAI / OpenAI API, vector databases (Pinecone, FAISS, Chroma), LangChain, LlamaIndex.
Understanding of MLOps/AIOps, CI/CD pipelines, and model lifecycle management.
Familiarity with data engineering, structured/unstructured data processing, and analytics tooling.




Consulting & Business Skills
Ability to translate complex AI concepts into business-friendly language.

Nice To Have Skills

Detailed Job Description
5–12 years of experience in AI/ML/NLP/LLM engineering or AI consulting.
Robust hands on experience with Generative AI, LLMs, prompt engineering, embeddings, RAG pipelines.
Proficiency with Python, ML frameworks (PyTorch/TensorFlow), and AI cloud platforms (Azure, AWS, GCP).
Experience with Azure OpenAI / OpenAI API, vector databases (Pinecone, FAISS, Chroma), LangChain, LlamaIndex.
Understanding of MLOps/AIOps, CI/CD pipelines, and model lifecycle management.
Familiarity with data engineering, structured/unstructured data processing, and analytics tooling.
Consulting & Business Skills
Ability to translate complex AI concepts into business-friendly language.
Proven track record delivering measurable business outcomes using AI.

Soft Skills
Solid analytical and troubleshooting skills.
Excellent communication and documentation abilities.
Ability to work in an agile, team-oriented environment.
Experience interacting with senior stakeholders and architecture groups.
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