Machine Learning Engineer [LLMs]

deepsense.ai is a company specializing in AI solutions, collaborating with partners like OpenAI, NVIDIA, and LangChain. The team includes over 100 AI experts with extensive applied AI experience and PhD-level researchers. The company works on projects involving LLMs, MLOps, Edge Solutions, Computer Vision, and Predictive Analytics across various industries such as software, pharma, healthcare, manufacturing, retail, telecoms, and media.

• 3+ years of experience in ML engineering and working with models in production environments.
• Hands-on expertise with Large Language Models (LLMs) and Generative AI.
• Familiarity with frameworks and tools for building and orchestrating LLM pipelines (LangChain, LlamaIndex, RAG, agent frameworks).
• Experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services (e.g., SageMaker, Vertex AI, Azure ML).
• Experience with SQL, NoSQL, and vector databases (Pinecone, FAISS, Weaviate).
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
• Knowledge of deploying and monitoring models (MLOps).
• Clear communication and collaboration skills.

Nice to have:

• Experience in prompt engineering.
• Experience building simple AI user interfaces (Streamlit, Gradio).

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