Overview

Provectus 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.

Puede obtener más detalles sobre la naturaleza de esta vacante y lo que se espera de los solicitantes leyendo la información a continuación.

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 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.

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 ML fields including 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); 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. xqbhyrx
- Familiarity with Amazon Bedrock would be considered a significant plus.

What We Offer
- Signup 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
- Accounting/Auditing and Finance

Industries
- Transportation, Logistics, Supply Chain and Storage

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