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AI/ML Tech Lead – LLMs, AWS at Provectus | JobVerse
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AI/ML Tech Lead – LLMs, AWS
Provectus
Remote
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AI/ML Tech Lead – LLMs, AWS
Poland
Full Time
5 days ago
H1B Sponsor
Apply Now
Key skills
AWS
Cloud
Python
PyTorch
Tensorflow
AI
Machine Learning
ML
Deep Learning
NLP
Computer Vision
LLM
OpenAI
Anthropic
TensorFlow
Hugging Face
MLOps
ECS
Lambda
S3
SageMaker
Bedrock
CI/CD
Leadership
Mentoring
Communication
Collaboration
About this role
Role Overview
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.
Requirements
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.
Tech Stack
AWS
Cloud
Python
PyTorch
Tensorflow
Benefits
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.
Apply Now
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