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Key Responsibilities:

  • Lead end-to-end technical delivery of Gen AI-based projects, ensuring rapid prototyping within 5-7 days for client engagements.
  • Develop, fine-tune, and deploy Large Language Models (LLMs) for on-premise and cloud (AWS, Azure) environments.
  • Design and implement scalable Gen AI solutions that meet business and technical requirements.
  • Collaborate with cross-functional teams, including Data Scientists, AI/ML Engineers, and Cloud Architects, to deliver high-impact AI solutions.
  • Own the technical roadmap for Gen AI solutions and ensure alignment with business objectives.
  • Hands-on coding and debugging to accelerate solution development and resolve technical challenges.
  • Work directly with clients to understand their business problems, translate requirements into AI solutions, and drive PoCs and production implementations.
  • Ensure compliance, security, and scalability of deployed models in both on-premise and cloud setups.
  • Stay updated with the latest LLM and Gen AI trends, open-source advancements, and best practices.

Required Skills & Qualifications:

  • Bachelor’s/Master’s degree in Computer Science, AI, Machine Learning, or a related field.
  • 7-8 years of experience in AI/ML, with a strong focus on LLMs, Gen AI, and rapid prototyping.
  • Proven experience in deploying LLM models on-premise and in cloud (AWS, Azure).
  • Strong programming skills in Python, TensorFlow, PyTorch, Hugging Face, LangChain, etc.
  • Expertise in AI/ML frameworks, model fine-tuning, and optimization techniques.
  • Experience in MLOps, Kubernetes, Docker, CI/CD pipelines, and cloud-native AI deployments.
  • Strong client-facing experience with the ability to communicate complex AI concepts to non-technical stakeholders.
  • Self-starter mindset with the ability to work independently and drive projects to completion.
  • Familiarity with Vector Databases, RAG (Retrieval-Augmented Generation), and AI-enhanced search technologies.
  • Experience in handling AI governance, security, and ethical AI best practices.

Job Types: Full-time, Permanent

Benefits:

  • Flexible schedule
  • Health insurance
  • Paid sick time
  • Provident Fund
  • Work from home

Work Location: In person

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