Job Description Job Details: Must Have Skills: · 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.
Nice to Have Skills: Detailed Job Description 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.
Proven track record delivering measurable business outcomes using AI.
Soft Skills · Strong analytical and troubleshooting skills.
· Excellent communication and documentation abilities.
· Ability to work in an agile, collaborative environment.
· Experience interacting with senior stakeholders and architecture groups.
Requirements Job Details: 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

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