Machine Learning Tech Lead (with GenAI experience)

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. Responsibilities:

Leadership & ManagementLead 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 deliveryMachine Learning & LLM ExpertiseDesign, 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 MLAWS Cloud ExpertiseArchitect 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 infrastructureTechnical ExecutionOversee 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 performanceTeam Development & CommunicationConduct 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 leadershipQualifications:

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