Machine Learning Tech Lead (AWS, LLMs)

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.

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.