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Your day to day
As a Machine Learning Manager you will be responsible for:
· Recruiting and leading a team of highly skilled ML scientists
· Develop innovative ML models, algorithms, and engineering approaches with high impact to our business.
· Design and execute applied research plans to understand, apply, test, evolve, and generalize these technologies into reusable solutions.
· Formulate and execute the team vision, meeting both business and technological needs
· Transform large amounts of complex data into business insights and solutions by using the latest technology in AI/ML
· Initiate next-gen AI projects that would push our tech-stack boundaries
What do you need to bring-
Data Science/Machine Learning team management experience - must
Minimum 8 years of relevant work experience in AI/ML and Data Science or PhD +5 years.
Masters, PhD, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.)
Code writing capabilities in any programming language (preferably Python) and familiarity with relevant ML packages
Experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects
Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring
Demonstrated proficiency in designing, training, and deploying deep neural networks using frameworks such as TensorFlow, PyTorch, or Keras.
Proven ability to leverage advanced deep learning techniques for applications in computer vision, natural language processing, and/or other relevant domains.
GCP and big data experience
Experience managing teams in a global organization – an advantage · Experience in managing in a multi-culture and multi-location organizations – an advantage
Team player, responsible, delivery-oriented, details-oriented · Outstanding communication skills
Excellent spoken and written English
Our Benefits:
Any general requests for consideration of your skills, please
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