JSR Tech Consulting is a major investment firm seeking multiple Lead Machine Learning Engineers with strong experience in AI/ML solutions. The role focuses on deploying and managing Generative AI models while ensuring scalable and secure enterprise solutions.
Responsibilities:
- Deploy, monitor, and maintain GenAI/LLM models in production environments
- Build and manage data pipelines and storage solutions supporting ML workflows
- Leverage cloud platforms (AWS preferred) for deployment, scaling, and infrastructure management
- Implement containerization (Docker) and orchestration (Kubernetes) strategies
- Develop and manage CI/CD pipelines, version control (Git), and automated deployment processes
- Implement security best practices, authentication/authorization, and monitoring systems
- Apply advanced GenAI techniques including RAG, hallucination detection, and human-in-the-loop systems
- Design and develop agent and multi-agent systems using frameworks such as LangChain
- Optimize infrastructure and model performance, including GPU/TPU utilization and cost optimization
Requirements:
- 5+ years of experience as a Machine Learning Engineer, including production deployments
- Strong programming skills in Python and solid software engineering fundamentals
- Hands-on experience with GenAI/LLMs, prompt engineering, and model serving
- Experience with cloud platforms (AWS, Azure, or GCP)
- Experience with containerization and orchestration (Docker, Kubernetes)
- Familiarity with DevOps practices, CI/CD, and automation tools
- Strong understanding of the ML lifecycle (training, testing, deployment, monitoring)
- Ability to work independently in a fast-paced environment
- Experience with Hugging Face and GenAI-specific frameworks
- Experience building agentic or multi-agent systems
- Experience with infrastructure as code (Terraform, CloudFormation)
- Proven experience optimizing cost and performance of AI/ML systems