Job ID: 38383***Not able to use 3rd Party Agencies***
Data Science Platform Engineer
Our client is seeking a Data Science Platform Engineer to join their dynamic team in Beaverton, OR.
Data Science Platform Engineer Responsibilities:
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 long term 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.
Data Science Platform Engineer Qualifications:
Bachelor’s Degree in Computer Science or related field, or 8+ years of experience, MS Computer Science degree preferred.
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.
Software Development / Configuration of Open Source Product experience.
Experience in a Kubernetes environment, and Cloud provider experience
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 leading 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).
Solid knowledge of secure coding practices and experience with open source technologies.
Strong teamwork, leadership, and time management skills.
Strong 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 fast-paced environment.
Love to learn and develop new skills continuously.
Thrive on working with new technologies.
Benefits are available to eligible VanderHouwen contractors and include coverage for medical, dental, vision, life insurance, short and long term disability, and matching 401k.
VanderHouwen is an award-winning, Women-Owned, WBENC certified professional staffing firm. Founded in 1987, VanderHouwen has been successfully placing experienced professionals throughout the Pacific Northwest and nationwide. Our recruitment teams are highly specialized in either Technology and IT, Engineering, or Accounting and Finance career markets. Our recruiters value building meaningful, professional relationships with each candidate as well as developing honed knowledge of companies' staffing needs and workplaces. Partner with us to land your next exciting career.
VanderHouwen is an Equal Opportunity Employer and participates in E-Verify. VanderHouwen does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other characteristic protected by applicable local, state or federal civil rights laws.
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