Data Science Team Lead
About The Position
Automat-it is where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner and Strategic Partner, we deliver hands-on DevOps, FinOps, and GenAI solutions that drive real results. We work across EMEA, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.
We’re looking for a hands-on Data Science Team Lead to build and scale production AI/ML solutions on AWS while leading a Data Scientist team. You’ll own the full lifecycle—from discovery and proof-of-concepts to training, optimization, deployment, and iteration in production—partnering closely with customers and cross-functional teams.
📍 Work location - hybrid from Madrid
If you are interested in this opportunity, please submit your CV in English.
Responsibilities
- People leadership: Manage and coach a team of Data Scientists, set clear goals, run 1:1s, and support career growth and technical excellence.
- Delivery ownership: Drive project scoping, planning, and on-time, high-quality delivery from inception to production. Proactively remove blockers, manage risks, and communicate status to stakeholders.
- Customer engagement: Work directly with founders/technical leaders to understand goals, translate them into feasible AI roadmaps, and ensure measurable business outcomes.
- Model Development & Deployment: Deploy and train models on AWS SageMaker (using TensorFlow/PyTorch).
- Model Tuning & Optimization: Fine-tune and optimize models using techniques like quantization and distillation, and tools like Pruna.ai and Replicate.
- Generative AI Solutions: Design and implement advanced GenAI solutions, including prompt engineering and retrieval-augmented generation (RAG) strategies.
- LLM Workflows: Develop agentic LLM workflows that incorporate tool usage, memory, and reasoning for complex problem-solving.
- Scalability & Performance: Maximize model performance on AWS’s by leveraging techniques such as model compilation, distillation, and quantization and using AWS specific features.
- Collaboration: Work closely with other teams (Data Engineering, DevOps, MLOps, Solution Architects, Sales teams) to integrate models into production pipelines and workflows.
Requirements
- Team management experience: 2+ years leading engineers or scientists (people or tech lead).
- Technical experience: 5–6+ years in Data Science/ML (including deep learning/LLMs).
- Excellent customer-facing skills to understand and address client needs effectively.
- Expert in Python and deep learning frameworks (PyTorch/TensorFlow), and hands-on with AWS ML services (especially SageMaker and Bedrock).
- Proven experience with generative AI and fine-tuning large language models.
- Experience deploying ML solutions on AWS cloud infrastructure and familiarity with MLOps best practices.
- Fluent written and verbal communication skills in English.
- A master’s degree in a relevant field and AWS ML certifications are a plus.
Benefits
- Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
- International work environment
- Referral program – enjoy cooperation with your colleagues and get a bonus
- Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
- Wellbeing and professional coaching
- English classes
- Soft skills training
Country-specific benefits will be discussed during the hiring process.
Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognizing the value you bring to our team.
#LI-remote #LI-AIT
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