
Senior Machine Learning Leader
5 days ago
We are seeking a seasoned leader to oversee the development and implementation of machine learning solutions across our organization.
This role will involve collaborating with cross-functional teams, defining project roadmaps, and driving the adoption of best practices in model development, testing, and deployment.
The ideal candidate will have a strong background in machine learning, leadership experience, and expertise in designing scalable, production-ready ML systems.
- Lead Machine Learning Engineering Team: Foster a culture of innovation and continuous improvement within the team.
- Develop and Implement ML Solutions: Collaborate with stakeholders to define project roadmaps and drive the adoption of best practices in model development, testing, and deployment.
- Drive Adoption of Best Practices: Ensure that solutions are optimized for performance, cost-efficiency, and maintainability in a cloud-native environment.
To be successful in this role, you will need:
- Master's or Ph.D. degree in Computer Science, Engineering, Data Science, Machine Learning, or a related field.
- 1+ years of experience in the field of machine learning and AI, with at least 5 years in a leadership or managerial role.
- Proven track record of successfully leading and scaling ML engineering teams and delivering large-scale ML projects.
- Expertise in machine learning algorithms, deep learning, reinforcement learning, and statistical modeling techniques.
- In-depth knowledge of data structures, software engineering principles, and system design.
- Experience with distributed computing and cloud technologies (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Proficiency in programming languages such as Python, Java, or Scala, and familiarity with ML frameworks like TensorFlow, PyTorch , or Keras .
We offer a competitive salary and benefits package, including:
- Opportunity to work on cutting-edge machine learning projects.
- Collaborative work environment with experienced professionals.
- Professional growth and development opportunities.
Please note that we are an equal opportunity employer and welcome applications from diverse candidates. We are committed to creating an inclusive work environment and ensuring that all employees feel valued and respected.
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