AI/ML TechLead (LLMs, AWS), $8000 Sign-On Bonus

Medium; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

A leading AI solutions provider is seeking a highly skilled Machine Learning Tech Lead with expertise in Large Language Models and AWS. In this fully remote role, you'll manage a team, drive machine learning projects, and architect scalable solutions. Ideal candidates have strong leadership and technical skills, with a minimum of 2 years' experience in a similar role, and a passion for mentoring engineers. Attractive benefits include a sign-up bonus and comprehensive medical insurance.

Benefits

Sign-up bonus 8,000 USD

Long-term B2B collaboration

Comprehensive private medical insurance

Paid sick leave and vacation

Unlimited AWS certification sponsorship

Qualifications

• Proven experience with LLMs and NLP frameworks.
• Strong expertise in AWS Cloud Services.
• Strong experience in ML/AI, at least 2 years in a leadership role.
• Hands-on experience with Python, TensorFlow/PyTorch.
• Familiarity with MLOps tools.

Responsibilities

• Lead and manage a team of 5-10 engineers.
• Design, develop, and fine-tune LLMs.
• Architect scalable ML solutions using AWS services.
• Oversee the entire ML lifecycle.
• Conduct regular code reviews and ensure standards.

Skills

Experience with LLMs and NLP frameworks

Expertise in AWS Cloud Services

Leadership experience in ML/AI

Hands-on experience with Python

Model optimization skills

Communication skills

Tools

TensorFlow

PyTorch

MLOps tools

Job description

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 industries such 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 & 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.

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.