
AI Ml Engineer
7 hours ago
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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