Machine Learning Engineer

Machine Learning Engineer

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2-3 days per week from an HPE office.

**Who We Are**:
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

LI-Hybrid

**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**

**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**:
singapore #operations

**Job**:
Engineering
**Job Level**:
TCP_04

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

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

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.