ML Tech Lead, GenAI

Provectus; España; A distancia; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

A technology company specializing in AI solutions in Spain is seeking a Machine Learning Tech Lead. In this role, you will manage a team, design cutting-edge AI solutions, and leverage AWS for scalability. The ideal candidate has extensive knowledge of large language models and proven experience in leading ML projects. This position offers a competitive compensation package with a base salary of USD 7,000-8,000 per month plus bonuses.

Formación

• Proven experience with LLMs and NLP frameworks.
• 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 and model optimization.

Responsabilidades

• Lead and manage a team of 5‑10 engineers.
• Design and develop LLMs and machine learning models.
• Architect scalable ML solutions using AWS services.
• Oversee the entire ML lifecycle from research to production.
• Conduct regular code reviews and ensure standards are upheld.

Conocimientos

Large Language Models (LLMs)

AWS Cloud services

Machine Learning (ML)

Python

TensorFlow/PyTorch

MLOps practices

Strong communication skills

Problem-solving

Descripción del empleo

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.

Compensation Package

• Base Salary: USD 7,000‑8,000/month (B2B, gross)
• Annual Performance Bonus: 10% of base salary
• Sign‑In Bonus: 50% upon start, 50% upon completion of the trial period
• USD 7,000 - 8,000 a month