Machine Learning Tech Lead, GenAI

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.

Role Overview

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).
• 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.

Compensation Package

• Base Salary: USD 8,000/month (B2B, gross)
• Annual Performance Bonus: 10% of base salary
• Sign-In Bonus: USD 8,000 — paid in two installments:
  • 50% upon start (USD 4,000)
  • 50% upon completion of trial period (USD 4,000)