Work to develop and/or implement platforms to enable our Data Science Community the develop, create and deploy machine learning capabilities.
End to end hands-on ownership of machine learning platforms deployable across various Cloud providers – including data pipelines, model generation, training and inference engines
Evaluate new AI Frameworks for possible longterm platform approaches.
Conduct Proof of Concept (POC) projects designed to evaluate the feasibility of new data science open source projects, vendor supplied machine learning and/or AI platforms
Work with Data Science Community to anticipate platform needs required to support algorithm development, model management, data engineering and model serving
Facilitate deep technical discussions with end-users and partners
Provide customer feedback to product and engineering teams to help define product direction.
Provide domain expertise public cloud and enterprise technology
Advance open source development practices with the engineering team through participation in architecture, technical design and code reviews
5+ years of designing and developing backend systems in a professional work environment.
5+ years working with OO and functional programming languages, such as Scala, Java and/or Python.
4+ years of data management experience (structure & databases, process data streams, ETLs).
3+ years of experience working with SQL, NoSQL, graph and unstructured databases.
2+ years of expertise in security, scaling, and load balancing.
1+ years delivering solutions that run in Cloud Service Providers
Bachelor’s Degree in Computer Science or related field, or 8+ years of experience, MS Computer Science degree preferred.
Experience with Kubernetes, Docker, AWS technologies, Linux development platform
Experience using one or more open source machine learning frameworks such as of TensorFlow, KubeFlow, PyTorch is a plus
Experience guiding the design, implementation, and operation of distributed software systems
Experience communicating with users and stakeholders to collect requirements, present and review technical designs
Development experience with Go programming and/or C/C++/Java, Python
Experience with Windows as a development platform is a plus, but not required
Experience with source code control systems like GIT, Subversion.
Experience using DevOps tools, like Chef, Jenkins, Circle CI, Puppet, Ansible, Cloud Formation Templates, Terraform, Docker etc.
Experience working with AWS, Azure or Google Cloud
Experience developing and using RESTful APIs (preferably micro services)
Knowledgeable about machine learning (concepts and application)
Experience or exposure to Big Data technologies (e.g. Hadoop, Spark)
Thorough knowledge of secure coding practices and experience with open source technologies.
Excellent teamwork, leadership, and time management skills
Excellent ability to learn new technologies in a short time
Excellent written and oral communication skills on both technical and non-technical topics.
Work in a collaborative team environment
Drive to accomplish team goals in a exciting work environment
Love to learn and develop new skills continuously
Thrive on working with new technologies
NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.
NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Job ID: 00435883
Senior Engineering Manager - Data Science
|Required Experience:||0 year(s)|
|Salary Range:||Not available|
Posted 10 days ago