Senior Machine Learning Engineer (LLMs)

deepsense.ai is an AI company collaborating with partners such as OpenAI, NVIDIA, Anyscale, LangChain, Crusoe, and ElevenLabs. They work on advanced AI technologies including LLMs, RAG, MLOps, Edge Solutions, Computer Vision, and Predictive Analytics, serving industries like software, tech, pharma, healthcare, manufacturing, retail, telecoms, and media.

• 5+ years of experience in ML engineering with production environment exposure.
• Hands-on expertise with Large Language Models (LLMs) and Generative AI.
• Familiarity with frameworks and tools for building and orchestrating LLM pipelines (e.g., LangChain, LlamaIndex, RAG, agent frameworks).
• Experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services (e.g., SageMaker, Vertex AI, Azure ML).
• Proficient in SQL, NoSQL, and vector databases (e.g., Pinecone, FAISS, Weaviate).
• Fluent in Python and experienced with ML frameworks (PyTorch, TensorFlow, Hugging Face).
• Skilled in deploying and monitoring models with MLOps (CI/CD, logging, observability).
• Bonus: Experience in prompt engineering and building simple AI user interfaces (Streamlit, Gradio).

• Build and optimize Large Language Models (LLMs) and Generative AI pipelines.
• Design and implement end-to-end ML/LLM pipelines including data preparation, training, fine-tuning, and production APIs.
• Integrate and optimize LLM inference for latency, cost, and scalability.
• Deploy and monitor models using MLOps practices including CI/CD, logging, observability, and quality monitoring.
• Collaborate effectively with Data Scientists and product/client teams.