Machine Learning Engineer

Key Skills

Aartificial intelligence, Bash scripting, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, Deep Learning, Django, IT, Machine learning techniques, NoSQL, NumPy, Pandas, PowerShell Programming, Python Programming, SQL

Job Description

Develops and programs integrated software algorithms to structure, analyse and leverage structured and unstructured data in product and systems applications. Can work with large scale computing frameworks, data analysis systems, and modelling environments.

Uses machine learning and statistical modelling techniques to improve product/system performance, data management, quality, and accuracy. Formulates descriptive, diagnostic, predictive and prescriptive insights/algorithms and translates technical specifications into code. Applies, optimizes, and scales deep learning technologies and algorithms to give computers the capability to visualize, learn and respond to complex situations. Documents procedures for installation and maintenance, completes programming, performs testing and debugging, defines and monitors performance metrics.

Contributes to the success of HPE by translating customer requirements and industry trends into AI/ML products, solutions, and systems improvement projects.

Skillset:

• 6+yrs full stack development experience with 2/3yrs related in ML/AI.
• Frontend (ReactJS) and Backend Development (Python, Django, SQL and NoSQL DB) skills.
• Experience with containerization and orchestration (Docker, Kubernetes).
• Knowledge of deployment tools (Terraform, Ansible).
• Understanding of CI/CD pipelines and automation.
• Familiarity with monitoring and logging tools (Prometheus, ELK Stack).
• Skills in scripting languages (Bash, PowerShell).
• Proficiency in Python and its libraries (NumPy, Pandas, etc).
• Good understanding of machine learning and deep learning frameworks (scikitlearn, TensorFlow, etc).

Join us and make your mark!

We offer:

• A competitive salary and extensive social benefits

• Diverse and dynamic work environment

• Work-life balance and support for career development

• An amazing life inside the element! Want to know more about it?

Then let’s stay connected!

https://www.facebook.com/HPECareers

https://twitter.com/HPE_Careers

Additional Skills:

Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Diversity, Inclusion & Belonging

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know diverse backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.