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

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.

Responsibilities

• 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
• 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
• Demonstrate deep expertise in NLP, Computer Vision, RL, deep learning, and classical ML
• 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, ensuring best practices in security, monitoring, and compliance
• 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
• Conduct regular code reviews, uphold engineering standards, and provide professional growth opportunities
• 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
• At least 2 years in a leadership role within ML/AI
• 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 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

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Other

Industries

Transportation, Logistics, Supply Chain and Storage