AI Systems Development Lead

Job Overview :

This is a high-ownership role where you will act as both a technical expert and a strategic thinker, ensuring the delivery of robust, scalable models while aligning closely with stakeholder needs and business KPIs.

Key Responsibilities :

• Partner with clients and internal stakeholders to understand strategic objectives and uncover ML / AI opportunities.
• Assess feasibility by analyzing available data sources and proposing realistic, impactful solutions.
• Define project goals, success criteria, and measurable KPIs in alignment with business needs.

Technical Expertise :

• Lead the design and development of machine learning models using PyTorch, TensorFlow, or similar frameworks.
• Implement best-in-class MLOps practices to automate training, deployment, and monitoring of models (e.g., with Kubeflow).
• Build and optimize scalable pipelines for data ingestion, model training, evaluation, and inference.
• Ensure full automation from preprocessing to production, with robust testing and CI / CD integration.
• Collaborate closely with data engineers and platform teams to ensure model performance, reliability, and maintainability.

Candidate Profile :

• 5+ years of hands-on experience in ML / AI engineering or data science roles.
• 3+ years of experience with Google Cloud Platform (GCP), including hands-on use of Vertex AI and BigQuery.
• Proven experience delivering production-grade models and scalable ML systems.
• Strong knowledge of ML algorithms, model development, deployment, and lifecycle management.
• Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
• Expertise in MLOps tooling and automation (e.g., Kubeflow, MLflow, Vertex AI Pipelines).
• Experience applying LLMs, especially in Retrieval Augmented Generation (RAG) workflows.
• Familiarity with data preprocessing, model tuning, and performance optimization.
• Clear communicator with the ability to translate complex ideas to technical and non-technical audiences.
• Eligible to work in Europe.

Bonus Skills :

• Experience with LangChain, LangGraph, or dbt.
• Prior involvement in consulting or client-facing AI / ML projects.
• Contribution to open-source or published work in AI / ML communities.

Why Join Our Team?

• We value generosity, transparency, growth, ownership, trust, and ever-learning.

This is an opportunity to grow, contribute, and make a meaningful impact — both inside the company and in the wider AI / ML community.