AI/ML Team Lead – Generative AI (LLMs, AWS)

Provectus; España; Sur place; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Signup bonus of 8,000 USD

Long-term B2B collaboration

Fully remote setup

Comprehensive private medical insurance

Paid sick leave and vacation

Unlimited AWS certification sponsorship

Résumé du poste

A technology solutions company in Spain is looking for a skilled Machine Learning Tech Lead to oversee AI solutions development and lead a team. The ideal candidate has extensive experience with Large Language Models and AWS Cloud services. This position supports a fully remote setup and offers a competitive signup bonus and comprehensive benefits.

Qualifications

• Proven experience with LLMs and NLP frameworks.
• Strong expertise in AWS Cloud Services.
• At least 2 years in a leadership role in ML/AI.
• Hands-on experience with Python, TensorFlow/PyTorch, and model optimization.
• Familiarity with MLOps tools.

Responsabilités

• Lead and manage a team of 5-10 engineers.
• Design, develop, and fine-tune LLMs and ML models.
• Architect scalable ML solutions using AWS services.
• Oversee the entire ML lifecycle from research to production.
• Facilitate professional growth and communication within the team.

Connaissances

LLMs and NLP frameworks

AWS Cloud Services

ML/AI experience

Python

TensorFlow/PyTorch

MLOps tools

Problem-solving

Communication

Mentoring

Outils

AWS Cloud Services

HuggingFace / OpenAI / Anthropic

Amazon Bedrock

Description du poste

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.

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 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.
• 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