Machine Learning Operations Engineer

Job description

Machine Learning Operations Engineer

  

Job Description:

   

Hewlett Packard Enterprise is an industry leading Technology Company that enables customers to go further, faster. With the industry’s most comprehensive portfolio, spanning the cloud to the data center to workplace applications, our technology and services help customers around the world make IT more efficient, more productive and more secure.

Learning does not only happen through training. Relationships are among the most powerful ways for people to learn and grow, and this is part of our HPE culture. In addition to working alongside talented colleagues, you will have many opportunities to learn through coaching and stretch assignment opportunities. You’ll be guided by feedback and support to accelerate your learning and maximize your knowledge. We also have a “reverse mentoring” program which allows us to share our knowledge and strengths across our multi-generation workforce.

HPE Pointnext is the innovative IT services organization—part of Hewlett Packard Enterprise—built to make Hybrid IT simple and power the Intelligent Edge. As an agile technology partner, we help our customers modernize their legacy infrastructure with the flexibility of the cloud, and maximize the value of their connected devices. We make their mission our mission: To drive rapid transformation across an enterprise on a customer’s terms.

Experience:

5+ years

Key Skills:

Kubernetes, kubeflow, Python\R, MapR, pytorch, Spark,

Roles and Responsibilities: ML-Ops

·  Proficient with Kubernetes and ability to design and implement end-to-end container management solution with Kubernetes.
·  Experience with development of distributed services targeting Kubernetes with strict reliability, availability and performance requirements
·  Familiar with K8s internal architecture and operations and sound knowledge of container technologies and the tools and challenges around them
·  Experience in container architecture, Docker universal packaging, container orchestration and Microservices architecture pattern.
·  Proven experience as a Machine Learning Engineer or similar role
·  Knowledge of statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.).
·  Experience in Machine Learning Libraries and Frameworks: Spark ML/MLib, TensorFlow, R Server, pytorch etc.
·  Ability to provision specialized ML hardware infrastructure
·  Ability to select and deploy workloads to specialized ML infrastructure
·  Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
·  Hands-on programming in Python/R
·   Work on structured, semi-structured data to put this data to business use. This will involve organizing the  a)   Data (collecting, storing, processing) b) Analyze huge sets of structured and semi-structured data for business analytics solution 
·  Excellent written and verbal communication skills for coordinating across teams.
·  Ability to work in a team
·  Outstanding analytical and problem-solving skills

Hewlett Packard Enterprise Values:

Partner. Innovate. Act.

We live by three core values that drive our business.

Simplified, we are good partners, great innovators and we make things happen.

Extensive social benefits, flexible working hours, a competitive salary and shared values, make Hewlett Packard Enterprise one of the world´s most attractive employers. At HPE our goal is to provide equal opportunities, work-life balance, and constantly evolving career opportunities.

If you are looking for challenges in a pleasant and international work environment, then we definitely want to hear from you. Apply now below, or directly via our Careers Portal at www.hpe.com/careers

You can also find us on:
https://www.facebook.com/HPECareers
https://twitter.com/HPE_Careers

Job:
Engineering

Job Level:
Specialist

    

Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.

   

HPE will comply with all applicable laws related to the use of arrest and conviction records, including the San Francisco Fair Chance Ordinance and similar laws and will consider for employment qualified applicants with criminal histories.