AI Ml Engineer

14 hours ago

Hyderabad, Telangana, India Cloudjune Opc Full time ₹ 15,00,000 - ₹ 25,00,000 per year

We are seeking a highly skilled Senior AI/ML Engineer with deep expertise in Artificial Intelligence, Machine Learning, and Large Language Models (LLMs). The ideal candidate will have hands-on experience in building, fine-tuning, and deploying production-grade AI models with a focus on Generative AI, MLOps, and scalable real-time inference systems.

Key Responsibilities;

  • Design, develop, and deploy AI/ML models with a strong emphasis on applied problem-solving.
  • Work on Generative AI, LLMs, RAG pipelines, and prompt engineering to build next-gen AI solutions.
  • Implement MLOps automation for end-to-end model lifecycle management using tools like MLflow, Kubeflow, or SageMaker.
  • Optimize training and inference workflows leveraging NVIDIA GPU tools (CUDA, TensorRT, Triton Inference Server).
  • Collaborate with cross-functional teams to design real-time AI pipelines and scalable deployment architectures.
  • Stay ahead of industry trends, research advancements, and best practices in AI/ML and Generative AI.

Must-Have Skills (5+ Years Relevant Experience)

  • Strong applied expertise in Artificial Intelligence & Machine Learning.
  • Proven experience in Generative AI & LLMs fine-tuning, retrieval-augmented generation (RAG), and prompt engineering.
  • MLOps proficiency automation of model training, deployment, and monitoring using MLflow, Kubeflow, SageMaker, or similar tools.
  • Python – Expert level, with hands-on experience in PyTorch, TensorFlow, Hugging Face, Scikit-learn, etc.
  • Experience with NVIDIA GPU frameworks and tools – CUDA, TensorRT, Triton Inference Server.
  • Strong knowledge of model deployment, serving, and real-time AI pipelines.

Good to Have

  • Experience with JavaScript/TypeScript for AI/ML integration with front-end systems.
  • Familiarity with modern AI/ML tools: LangChain, LlamaIndex, Vector Databases (FAISS, Pinecone, Weaviate).
  • Cloud ML platforms – AWS, GCP, Azure ML.
  • Knowledge of Docker, Kubernetes, and RESTful APIs for containerized deployments.

Eligibility

  • Minimum 5+ years of relevant, hands-on AI/ML/LLM experience (not just research, but applied/production).
  • Willingness to work from Hyderabad (relocation required if not currently based in Hyderabad).
  • Passionate about building impactful, production-grade AI systems that scale.

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