Machine Learning Tech Lead, with GenAI Lisboa

Machine Learning Tech Lead, with GenAI
Lisboa
Lisboa, Lisboa, Portugal

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Machine Learning Tech Lead, with Gen
AI, Lisboa

Client:

Location:

Lisboa, Portugal

Job Category:

Other

Salary: €0-0/monthly

EU work permit required:

Yes

Job Views:

3

Posted:

24. 05. 2025

Expiry Date:

08. 07. 2025

Job Description:

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 industries such 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 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 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). Optimize models and data pipelines for performance, scalability, and
  - efficiency. Ensure best practices in security, monitoring, and compliance within cloud infrastructure.

• Technical Execution: Oversee the entire ML lifecycle, from research and experimentation to production and maintenance. Implement MLOps and LLMOps practices. Debug, troubleshoot, and optimize production ML models.

• Team Development & Communication: Conduct code reviews, uphold engineering standards, facilitate professional growth, and communicate progress and challenges to stakeholders and leadership.

Qualifications:

• Experience with LLMs and NLP frameworks (e. g. , Hugging Face, Open
  AI, Anthropic models)
• Strong expertise in AWS Cloud Services
• At least 2 years in a leadership role in ML/AI
• Hands-on experience with Python, Tensor
  Flow/Py
  Torch, model optimization
• Familiarity with MLOps tools and practices
• Excellent
  - solving,
  - making, and communication skills
• Passion for mentoring engineers