AI Team Lead

Quick Facts

• Role: AI Team Lead

• Focus: Machine Learning and Computer Vision (production delivery and model maintenance)

Description

You will lead an AI team and own the technical direction for AI projects, developing ML and Computer Vision solutions from data and prototypes through deployment and ongoing operation.

The role is hands-on: you will define architectures, review code and models, build training/data pipelines, and set up model validation and monitoring processes. You will also optimize models for edge platforms and integrate them with onboard and ground software.

Responsibilities

• Build and organize an AI team (recruiting, onboarding, roles, and working model)

• Set technical architecture for ML/Computer Vision solutions and define technology/tooling standards

• Perform hands-on work on key elements (prototypes, code reviews, complex modeling tasks)

• Design and develop the target data foundation: data acquisition, versioning, annotation, and repeatable training pipelines

• Drive models from prototype to operation in production/target conditions (edge optimization, integration)

• Establish validation processes: metrics, regression tests, acceptance criteria; collaborate with flight/testing teams

• Plan team work: schedule, dependencies, risks, and progress reporting

Requirements

• Proven experience delivering ML/AI to production and maintaining models after rollout (not only PoCs)

• Experience leading a team or acting as a tech lead, including growing others’ skills

• Very strong Python skills

• At least one deep learning framework; preferred: PyTorch

• Practical Computer Vision experience: detection, object tracking, segmentation; image and video data

• Experience with end-to-end model delivery process (data → training → evaluation → deployment → maintenance)

• Ability to create roadmaps/schedules with milestones and measurable acceptance criteria

• Experience across the full model lifecycle with data preparation/annotation, training, evaluation, deployment, and monitoring (MLOps)

• Experience optimizing models for limited compute resources (quantization, pruning, ONNX/TensorRT or equivalents)

• English skills for documentation/literature and vendor communication

Benefits

• Direct employment with the client (employment contract or B2B)

• Hybrid work model (office 2–3 times per week; Warsaw, Bielany)

• Career growth in an environment combining software, engineering, and advanced tech products

• Participation in projects related to drones, aviation, and mechatronics

• Work with an experienced ~120-person team with a flat structure and short decision paths; collaboration with interdisciplinary technical teams

• Funding for training and courses

• Benefits: Multisport, private medical care, employee parking