ML Technical Manager
We are hiring a Machine Learning Technical Manager to lead the design and delivery of production ML systems focused on computer vision, generative AI, and scalable deployment pipelines.
This role combines hands-on technical oversight with team leadership, cross-functional collaboration, and strong ownership of model quality, evaluation, and production readiness.
Responsibilities
- Lead a team of machine learning engineers and researchers working on computer vision, graphics, and generative AI systems.
- Define the technical direction for model development, evaluation, deployment, and monitoring.
- Collaborate with product, engineering, and creative stakeholders to turn requirements into production-ready ML solutions.
- Oversee experiments, model performance analysis, and iteration loops to improve reliability and quality.
- Build and improve scalable ML pipelines and deployment workflows for production environments.
- Translate complex technical tradeoffs into clear decisions for stakeholders and the wider engineering team.
- Promote responsible AI practices, including transparency, quality controls, and privacy-aware implementation.
- Stay current with advances in ML, computer vision, and generative models, and apply them pragmatically.
Requirements
- Strong experience in machine learning with a track record of shipping production systems.
- Background in computer vision, generative AI, graphics, or adjacent applied ML areas.
- Hands-on Python experience and familiarity with ML frameworks such as PyTorch or TensorFlow.
- Experience leading technical people, projects, or cross-functional delivery.
- Comfort working closely with product, engineering, and non-technical stakeholders.
- Experience designing evaluation, monitoring, and deployment workflows for ML systems.
- Strong communication skills and a pragmatic, ownership-driven mindset.
- Experience with scalable cloud infrastructure is a plus.
What will be your next steps?
Quick non-technical conversation
Our initial conversation is a brief, non-technical discussion to understand your background and career aspirations. We're keen to learn about your communication style and how you approach teamwork and decision-making.
60 to 90 minutes technical interview
This in-depth technical assessment, lasting 60 to 90 minutes, is designed to evaluate your specific skills and expertise. We will present you with challenges relevant to our client’s requirements.
Client interview
In this stage, you will meet directly with the client for a final technical discussion. This interview will be similar in format to our internal technical assessment, allowing the client to see firsthand how your expertise aligns with their specific project needs and team.
Offer
Congratulations on successfully completing our evaluation process. We are pleased to extend an offer and recommend you to our clients.
Apply for this role
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