AI/ML Team Lead – Generative AI (LLMs, AWS)

Overview

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.

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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 & Management: 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
• Machine Learning & LLM Expertise: 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
• AWS Cloud Expertise: 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
• Technical Execution: 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
• Team Development & Communication: 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

Qualifications

• Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models)
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• 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
• Familiarity with Amazon Bedrock would be considered a significant plus

What We Offer

• Sign-up bonus 8,000 USD
• 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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