ph3Overview /h3pProvectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus is on building ML infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling AI initiatives across industries including Healthcare Life Sciences, Retail CPG, Media Entertainment, Manufacturing, and Internet businesses. /ppWe are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The idóneo candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role requires hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale. /ph3Responsibilities /h3ulliLeadership 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. /liliMachine 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 ML fields including NLP, Computer Vision, RL, deep learning, and classical ML. /liliAWS Cloud Expertise: 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; ensure best practices in security,



monitoring, and compliance within the cloud infrastructure. /liliTechnical 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. /liliTeam 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. /li /ulh3Qualifications /h3ulliProven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models). /liliStrong expertise in AWS Cloud Services. /liliStrong experience in ML/AI, including at least 2 years in a leadership role. /liliHands-on experience with Python, TensorFlow/PyTorch, and model optimization. /liliFamiliarity with MLOps tools and best practices. /liliExcellent problem-solving and decision-making abilities. /liliStrong communication skills and the ability to lead cross-functional teams. /liliPassion for mentoring and developing engineers. /liliFamiliarity with Amazon Bedrock would be considered a significant plus. /li /ulh3What We Offer /h3ulliSignup bonus 8,000 USD /liliLong-term B2B collaboration /liliFully remote setup /liliComprehensive private medical insurance or budget for your medical needs /liliPaid sick leave, vacation, public holidays /liliContinuous learning support, including unlimited AWS certification sponsorship /li /ulh3Seniority level /h3ulliMid-Senior level /li /ulh3Employment type /h3ulliFull-time /li /ulh3Job function /h3ulliAccounting/Auditing and Finance /li /ulh3Industries /h3ulliTransportation, Logistics, Supply Chain and Storage /li /ul /p #J-18808-Ljbffr

📌 AI/ML Team Lead – Generative AI (LLMs, AWS) (España)
🏢 Provectus
📍 España