Infrastructure Engineering Advisor (8+)
Bachelor’s or Master’s degree in Computer Science or related technical field, with 8+ years of experience in AI, ML, or data-driven solution development.
Proven track record designing, building, and deploying scalable AI/ML solutions in production environments.
Deep expertise in Large Language Models (LLMs), Generative AI, Agentic solutions, and advanced ML techniques (fine-tuning, prompt engineering, model optimization).
Skilled in diagnosing, troubleshooting, and resolving issues in AI model training and serving.
Hands-on experience with MCP, NLP, NLU, RAG architectures, Agents, Chat Bots, and modern AI frameworks (e.g., LangChain, LangGraph LlamaIndex).
Proficient in Python and shell scripting, with familiarity in deep learning frameworks (PyTorch, TensorFlow, JAX, or Transformers).
Experience with popular model training and serving frameworks like MLFlow, KServe, KubeFlow, Triton etc.
Excellent communication skills for translating complex technical concepts into clear proposals, designs, and presentations.
Collaborative mindset with experience working closely with product managers, engineers, and customers.
Experience acting as a technical evangelist, presenting at conferences, customer briefings, or industry events.
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