Machine Learning Tech Lead, (with GenAI, AWS) Funchal

Machine Learning Tech Lead, (with GenAI, AWS)
Madeira
Funchal, Madeira, Portugal

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 AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives
- 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
- edge AI solutions while managing a team of 5-10 engineers. This leadership role demands
- 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
  - functional efforts with product, data, and engineering teams to ensure seamless delivery
• Machine Learning & LLM Expertise
• Design, develop, and
  - tune LLMs and other machine learning models to solve business problems;
• Evaluate and implement
  -
  -
  - 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. , Sage
  Maker, Lambda, Bedrock, S3, ECS, ECR, etc. );
• Optimize models and data pipelines for performance, scalability, and
  - 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
  
  
  
  
  

• Proven experience with LLMs and NLP frameworks (e. g. , Hugging Face, Open
  AI, 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, Tensor
  Flow/Py
  Torch, and model optimization;
• Familiarity with MLOps tools and best practices;
• Excellent
  - solving and
  - making abilities;
• Strong communication skills and the ability to lead
  - functional teams;
• Passion for mentoring and developing engineers