Lead ML Engineer
Lead ML Engineer
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1 Vacancy
Job Description
- Lead a team of data scientists and machine learning engineers in designing developing and deploying machine learning models and algorithms.
- Collaborate with crossfunctional teams including product managers software engineers and business stakeholders to define project objectives and deliverables.
- Conduct exploratory data analysis to understand patterns trends and relationships in large datasets.
- Design and develop scalable machine learning pipelines and workflows to process and analyze data efficiently.
- Implement stateoftheart machine learning algorithms and techniques to solve business problems and optimize processes.
- Evaluate model performance and iteratively improve model accuracy robustness and scalability.
- Ensure compliance with best practices for data privacy security and ethical use of data.
- Mentor and coach junior team members providing guidance on technical challenges and professional development.
- Stay updated with the latest advancements in machine learning research tools and techniques.
- Bachelor s or Master s degree in Computer Science Engineering Mathematics or related field.
- 5 12 years of experience in machine learning data science or related roles.
- Strong proficiency in programming languages such as Python R or Scala.
- Experience with machine learning frameworks and libraries such as TensorFlow PyTorch scikitlearn etc.
- Solid understanding of machine learning algorithms statistical methods and data structures.
- Experience with cloud platforms such as AWS Azure or Google Cloud Platform.
- Excellent problemsolving skills and attention to detail.
- Effective communication skills and the ability to collaborate with crossfunctional teams.
- Prior experience in a leadership or mentorship role is preferred.
- Experience working in a remote environment or across different time zones is a plus.
learning,machine learning,algorithms,ml,cloud
Employment Type
Full Time
Company Industry
Key Skills
- Administrative Skills
- Facilities Management
- Biotechnology
- Creative Production
- Design And Estimation
- Architecture
