Summary: Seeking an AI/ML Tech Lead with strong LLM and AWS expertise to lead and mentor a team of engineers, driving innovative AI solutions and overseeing the ML lifecycle. Highlights: 1. Lead and mentor a team of 5-10 engineers in cutting-edge AI solutions. 2. Design, develop, and fine-tune LLMs and machine learning models. 3. Architect scalable ML solutions using AWS services and MLOps practices. **AI/ML TechLead (LLMs, AWS)** ============================== Yerevan,Serbia,Poland,Spain **About project** About project 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. 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: Sing\-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.