AI / ML Team Lead – Generative AI (LLMs, AWS)

Provectus; Italia; Remoto; EUR 59.000 - 77.000; Tempo pieno

Descrizione del lavoro

A leading technology consultancy is searching for a Machine Learning Tech Lead to oversee ML projects and manage a team of engineers. The ideal candidate should have substantial experience with LLMs, AWS services, and a strong leadership background. This position offers an $8,000 sign-up bonus, long-term collaboration, and a fully remote work environment, alongside comprehensive benefits including medical insurance and continuous learning support.

Servizi

Sign-up bonus of 8,000 USD

Long-term B2B collaboration

Fully remote setup

Comprehensive private medical insurance

Paid sick leave and vacation

Unlimited AWS certification sponsorship

Competenze

• Proven experience with LLMs and NLP frameworks.
• Strong expertise in AWS Cloud Services.
• Minimum 2 years in a leadership role in ML/AI.
• Hands-on experience with Python and model optimization.
• Excellent communication skills.

Mansioni

• Lead and manage a team of engineers.
• Design and fine-tune machine learning models.
• Architect and manage scalable ML solutions with AWS services.
• Implement MLOps practices for streamlined deployment.
• Conduct regular code reviews and mentor engineers.

Conoscenze

Expertise in LLMs

Leadership in ML roles

Strong problem-solving skills

Cloud services proficiency

Team management

Experience in NLP frameworks

Python programming

AWS services knowledge

Strumenti

TensorFlow

PyTorch

MLOps tools

Descrizione del lavoro

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 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 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
• Familiarity with Amazon Bedrock would be considered a significant plus

What We Offer

• Sign-up bonus 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

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Accounting / Auditing and Finance

Industries

• Transportation, Logistics, Supply Chain and Storage