Overview 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 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 Conduct regular code reviews and ensure engineering standards are upheld
- Facilitate professional growth and learning for the team through continuous feedback and guidance;

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 Strong communication skills and the ability to lead cross-functional teams What We Offer Sign-up premio 8,000 USD Long-term B2B collaboration Fully remote setup Comprehensive private medical insurance or budget for your medical needs Paid sick leave, vacation, public holidays Continuous learning support, including unlimited AWS certification sponsorship

📌 Team Lead - Remote (Torino)
🏢 Altro
📍 Torino