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 is on building ML infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling AI initiatives across industries including 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 requires 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 ML fields including 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); 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

What We Offer

Seniority level

Employment type

Job function

Industries

#J-18808-Ljbffr