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ML Tech Lead, GenAI

ProvectusMadrid, Madrid, SPAIN

Hace 10 horas

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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

Seniority level Seniority level Mid-Senior level

Employment type Employment type Full-time

Job function Job function Engineering and Information Technology

Industries Hospitality, Food and Beverage Services, and Retail

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Tech Lead • Madrid, Madrid, SPAIN

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