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ML Tech Lead, GenAI

ML Tech Lead, GenAI

Provectus, , Spain, España
Hace más de 30 días
Descripción del trabajo

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
  • #J-18808-Ljbffr

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