Provectus is looking for an ML Tech Lead to architect and guide the development of production-grade AI solutions. You will combine deep technical expertise in Large Language Models with leadership to oversee a team delivering innovative products at scale.
What You'll Do
- Set technical direction and standards for ML projects
- Make architectural decisions for scalable, maintainable ML systems
- Review and approve technical designs, and identify technical debt
- Champion best practices in ML engineering and troubleshoot complex challenges
- Evaluate and introduce new technologies and tools
- Mentor 2-5 junior and mid-level ML engineers
- Conduct technical code reviews and provide guidance on problem-solving
- Create learning opportunities and growth paths for the team
- Share knowledge through workshops and comprehensive documentation
- Contribute code to critical components and build proof-of-concepts
- Tackle high-risk technical challenges and develop reusable ML accelerators
What We're Looking For
- Deep expertise across multiple ML domains
- Extensive experience building production-grade ML systems
- Ability to design scalable, maintainable ML architectures
- Strong understanding of ML infrastructure and operations (MLOps)
- Experience with modern LLM-based applications and RAG
- Exemplary coding standards and best practices
- Proficiency across TensorFlow, PyTorch, and scikit-learn
- Advanced AWS experience, with familiarity with other cloud platforms
- Understanding of data pipelines and infrastructure
- Ability to design complex distributed systems
- Experience optimizing ML models and infrastructure for performance
- Champions testing practices (unit, integration, ML-specific)
- Advanced Git workflows and collaboration patterns
- Experience building and maintaining CI/CD pipelines for ML
- Skills in creating clear, comprehensive technical documentation
Technical Stack
- Large Language Models (LLMs)
- AWS Cloud services
- TensorFlow
- PyTorch
- scikit-learn
Team & Environment
You will lead and manage a team of 2-5 engineers, building technical competency and guiding their growth.
Benefits & Compensation
- Long-term B2B collaboration
- Fully remote setup
- A budget for your medical insurance
- Paid sick leave, vacation, and public holidays
- Continuous learning support, including unlimited AWS certification sponsorship
Work Mode
This role is fully remote.
