Provectus
ML Tech Lead (GenAI)
TLDR
Oversee the development and deployment of AI solutions while managing a team of engineers, ensuring technical excellence and innovative product delivery.
Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses.
We are seeking a highly skilled GenAI Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.
Core Responsibilities:
Technical Leadership (40%)
Mentorship & Team Development (35%)
Hands-On Technical Work (25%)
ML Engineering Excellence
Technical Breadth
Software Engineering
Long-term B2B collaboration;
Fully remote setup;
A budget for your medical insurance;
Paid sick leave, vacation, public holidays;
Continuous learning support, including unlimited AWS certification sponsorship.
Interview stages:
Recruitment Interview;
Tech interview;
HR Interview;
HM Interview.
- Set technical direction and standards for ML projects
- Make architectural decisions for ML systems
- Review and approve technical designs
- Identify and address technical debt
- Champion best practices in ML engineering
- Troubleshoot complex technical challenges
- Evaluate and introduce new technologies and tools
- Mentor junior and mid-level ML engineers (2-5 engineers)
- Conduct technical code reviews
- Provide guidance on technical problem-solving
- Help engineers debug complex issues
- Create learning opportunities and growth paths
- Share knowledge through workshops and documentation
- Build technical competency across the team
- Contribute code to critical or complex components
- Build proof-of-concepts for new approaches
- Tackle highest-risk technical challenges
- Develop reusable ML accelerators and frameworks
- Maintain technical credibility through active coding
Requirements:
- Deep ML Expertise: Advanced knowledge across multiple ML domains
- Production ML: Extensive experience building production-grade ML systems
- Architecture: Ability to design scalable, maintainable ML architectures
- MLOps: Strong understanding of ML infrastructure and operations
- LLM Systems: Experience with modern LLM-based applications and RAG
- Code Quality: Exemplary coding standards and best practices
- Multiple ML Frameworks: Proficiency across TensorFlow, PyTorch, scikit-learn
- Cloud Platforms: Advanced AWS experience, familiarity with others
- Data Engineering: Understanding of data pipelines and infrastructure
- System Design: Ability to design complex distributed systems
- Performance Optimization: Experience optimizing ML models and infrastructure
- Clean Code: Writes exemplary, maintainable code
- Testing: Champions testing practices (unit, integration, ML-specific)
- Git & Collaboration: Advanced Git workflows and collaboration patterns
- CI/CD: Experience building and maintaining ML pipelines
- Documentation: Creates clear, comprehensive technical documentation
What We Offer:
Benefits
Paid Time Off
Paid sick leave, vacation, public holidays;
Remote-Friendly
Fully remote setup;
Provectus builds robust machine learning infrastructure and production-grade solutions that empower companies to leverage AI and transform their operations and competitive strategies. We cater to businesses facing complex ML challenges, delivering innovative technology that drives significant value and societal impact.
- Founded
- Founded 2010
- Employees
- 500+ employees
- Industry
- Professional Services
Tech Lead