Engineering Manager – Machine Learning
We are seeking a hands-on Engineering Manager to lead and grow a talented Machine Learning team, driving innovation and delivering real-world impact through cutting-edge AI solutions.
This role blends technical leadership with people management – perfect for someone who wants to stay close to the code while also shaping a high-performing engineering culture.
What you’ll do:
* Lead, mentor, and develop a team of Machine Learning engineers and researchers.
* Stay hands-on: contribute to code, review architecture, and guide technical design decisions.
* Collaborate with product and data teams to scope, build, and scale ML-driven features and systems.
* Drive best practices across experimentation, model training, deployment, and monitoring.
* Champion engineering excellence, ensuring reliability, performance, and security in ML systems.
About you:
* Strong software engineering background with direct experience in machine learning applications.
* Proven track record leading teams – balancing delivery with career growth and mentorship.
* Proficiency in modern ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms.
* Comfortable working across the full lifecycle: from research prototypes to production-scale systems.
* Excellent communication skills and a collaborative mindset.
Why apply?
This is an opportunity to lead a team at the forefront of machine learning, where your work will shape next-generation products and capabilities. You’ll have the freedom to innovate, while ensuring the team operates with excellence, impact, and scalability.