Sr. AI/ML Engineer

Ensora Health

20h

About The Position

We are seeking a visionary and technically exceptional Senior Machine Learning Engineer to build the next generation of AI-driven capabilities across our platform. In this role, you will design and deploy LLM-powered systems, intelligent agents, and advanced ML/DL models that directly influence innovation in mental health care technology. You will lead architectural decisions, mentor engineering talent, and ensure the scalability, reliability, and performance of AI systems that deliver measurable business impact.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or related field.
• 5+ years of experience deploying ML models into production environments.
• Hands-on experience with LLMs (GPT series, Llama, Claude, Gemini) and orchestration frameworks.
• Deep understanding of agent architectures and reasoning strategies (ReAct, planning-based agents).
• Strong expertise with PyTorch, TensorFlow, and Keras.
• Advanced SQL and PostgreSQL skills for data management and performance tuning.
• Experience with Azure OpenAI, Amazon Bedrock, Google Vertex AI, and MLOps tooling for CI/CD, deployment, and monitoring.
• Proven leadership through mentoring, project ownership, and technical decision-making.

Nice To Haves

• Experience with model distillation, quantization, GPU optimization, microservices, Kubernetes, GitOps, vector databases (Pinecone, Weaviate, ChromaDB), or contributions to open-source AI/ML projects.

Responsibilities

• Architect and build scalable, production-grade AI systems using Python and modern machine learning frameworks.
• Develop and optimize LLM-powered intelligent agent workflows using orchestration frameworks such as LangChain, LlamaIndex, CrewAI, and Semantic Kernel.
• Design, fine-tune, and deploy deep learning models (PyTorch, TensorFlow, Keras) across NLP, vision, and multimodal applications.
• Lead data engineering efforts by designing pipelines, performing advanced analytics, and creating visual insights.
• Manage database design and optimization using SQL and PostgreSQL for large-scale AI workloads.
• Integrate AI models into APIs, microservices, and cloud environments to ensure seamless production deployment.
• Mentor junior engineers, guide code quality standards, and advocate best practices across ML engineering and MLOps.
• Stay ahead of emerging AI research, including breakthroughs in generative AI, agentic architectures, model optimization, and open-source ecosystems.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level