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Provectus Logo Provectus · IT - Software Development

Machine Learning Tech Lead, GenAI

B2B · Job Posted March 13, 2026
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Job Description

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 Machine Learning (ML) 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 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.

Job Responsibility

  • Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment
  • Drive the roadmap for machine learning projects aligned with business goals
  • Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery
  • Design, develop, and fine-tune LLMs and other machine learning models to solve business problems
  • Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction
  • Stay ahead of advancements in LLMs and apply emerging technologies
  • Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML
  • Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.)
  • Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS
  • Ensure best practices in security, monitoring, and compliance within the cloud infrastructure
  • Oversee the entire ML lifecycle, from research and experimentation to production and maintenance
  • Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows
  • Debug, troubleshoot, and optimize production ML models for performance
  • Conduct regular code reviews and ensure engineering standards are upheld
  • Facilitate professional growth and learning for the team through continuous feedback and guidance
  • Communicate progress, challenges, and solutions to stakeholders and senior leadership

Requirements

  • Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models)
  • Strong expertise in AWS Cloud Services
  • Strong experience in ML/AI, including at least 2 years in a leadership role
  • Hands-on experience with Python, TensorFlow/PyTorch, and model optimization
  • Familiarity with MLOps tools and best practices
  • Excellent problem-solving and decision-making abilities
  • Strong communication skills and the ability to lead cross-functional teams
  • Passion for mentoring and developing engineers

What we offer

  • Long-term B2B collaboration
  • Fully remote setup
  • Comprehensive private medical insurance or budget for your medical needs
  • Paid sick leave, vacation, public holidays
  • Continuous learning support, including unlimited AWS certification sponsorship
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