At neXa, we help businesses grow smarter by designing and implementing advanced digital solutions. We are currently seeking a Team Leader for Machine Learning to guide a high-energy team in delivering large-scale, production-grade ML solutions that drive real business impact.
Key responsibilities
- Lead, mentor, and develop a team of Machine Learning Engineers and Data Scientists while fostering a culture of collaboration and continuous improvement.
- Oversee the end-to-end delivery of machine learning initiatives, from initial concept through to production deployment.
- Define and evolve machine learning architecture, feature engineering strategies, and model lifecycle standards.
- Collaborate with product, engineering, and business stakeholders to align ML initiatives with strategic company objectives.
- Monitor model performance and drive the adoption of scalable MLOps standards and engineering best practices.
Requirements
- Over 8 years of experience in Machine Learning or Data Science, with a proven track record of delivering production-grade solutions.
- At least 2 years of direct people management experience leading technical teams.
- Advanced programming proficiency in Python and SQL, alongside hands-on experience with deep learning frameworks like PyTorch or TensorFlow.
- Strong experience with cloud-based ML platforms and building scalable, distributed data processing workflows.
- Excellent communication skills with the ability to manage stakeholders and drive cross-functional execution.
What we offer
- The opportunity to lead high-impact projects and shape the long-term technical roadmap for machine learning capabilities.
- A fully remote work environment that prioritizes technical excellence and professional growth.
- Collaboration with a diverse, forward-thinking team on complex, large-scale data products.