Senior Machine Learning Engineer

Hewlett Packard Enterprise; Spring, Northern (TX, KY); Hybrid; USD 147,000 - 231,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Life insurance

Parental leave

Paid holidays

Paid vacation

Job summary

Hewlett Packard Enterprise in Spring, Texas is seeking a Senior Machine Learning Engineer to design, develop, and deploy cutting-edge ML models that improve business processes.

You will collaborate with cross-functional teams to translate data into actionable insights, build robust data pipelines, and optimize models for production deployment at scale across distributed environments.

Qualifications

• Four-year or graduate degree in CS/Math/Stats/Data Science or equivalent work experience.
• 7-10 years in ML, algorithms, or related field.
• Experience with large-scale ML systems and production deployment.

Responsibilities

• Architect, develop, and operationalize ML models across the lifecycle.
• Build data pipelines and monitoring in distributed environments.
• Collaborate with cross-functional teams to translate data into insights.
• Partner with DevOps to deploy models in production and automate deployment.
• Stay current with AI/ML advancements and research.

Skills

AI/ML Inference Infrastructure

Agile Methodology

Algorithms

Artificial Intelligence

Automation

Big Data

C++

CUDA

Data Science

Deep Learning

GenAI

Infrastructure Monitoring and Observab

Kubernetes

LLM Eval

LLMOps

Machine Learning

Model Quantization

Natural Language Processing

Python

PyTorch

Retrieval-Augmented Generation

Software Engineering

Vector Databases

vLLM

Effective Communication

Results Orientation

Learning Agility

Digital Fluency

Customer Centricity

Education

Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or related discipline

Tools

CUDA

Kubernetes

PyTorch

Python

Vector Databases

vLLM

RAG

Job description

## Senior Machine Learning EngineerApply: Spring, Texas, United States of America: Full time: Posted Today: 3168418Senior Machine Learning Engineer**Description -****Job Summary**This role is responsible for leveraging expertise to design, develop, and implement cutting-edge machine learning models that solve complex challenges and enhance business processes. The role collaborates with cross-functional teams, to transform data into actionable insights by selecting, training, and optimizing machine learning algorithms. The role ensures that ML models are properly trained, validated, and optimized for performance.**Responsibilities*** Architects, develops and programs integrated software solutions, especially in support of the development, deployment and life cycle of machine learning models.* Builds and maintains robust data pipelines and monitoring systems in distributed computing environments.* Defines collection protocols and analyzes data sources; develops, trains and evaluates models; creates visualizations of data properties and model performance.* Establishes and optimizes scalable processes for large-scale data operations to drive ML product improvements.* Engages with business and analytics teams to translate data requirements into technical solutions leveraging machine learning principles.* Collaborates with DevOps teams to integrate models into production systems and automate deployment processes.* Validates, communicates, and monitors the delivery of customer requirements for AI/ML solutions.* Participates in cutting-edge research in artificial intelligence and machine learning applications.* Stays up-to-date with the latest advancements in machine learning and related technologies.* Manages and maintains the compute cluster environment used to host and serve machine learning models, including capacity planning, performance monitoring, resource allocation, system reliability, and operational support.**Education & Experience Recommended*** Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.* Typically has 7-10 years of work experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field.**Preferred Certifications**• AWS Certified Machine Learning Specialty or equivalent**Knowledge & Skills**• AI/ML Inference Infrastructure• Agile Methodology• Algorithms• Artificial Intelligence• Automation• Big Data• C++ (Programming Language)• Computer Science• CUDA• Data Science• Deep Learning• GenAI• Infrastructure Monitoring and Observability• Kubernetes• LLM Eval• LLMOps• Machine Learning• Model Quantization• Natural Language Processing• Python (Programming Language)• PyTorch (Machine Learning Library)• Retrieval-Augmented Generation (RAG)• Software Engineering• Vector Databases• vLLM**Cross-Org Skills**• Effective Communication• Results Orientation• Learning Agility• Digital Fluency• Customer Centricity**Impact & Scope**• Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.**Complexity**• Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.**Disclaimer**• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.**Pay & Benefits**The pay range for this role is $147,050 to $230,850 USD annually with additionalopportunities for pay in the form of bonus and/or equity (applies to UnitedStates of America candidates only). Pay varies by work location, job-relatedknowledge, skills, and experience.Benefits:HP offers a comprehensive benefits package for this position, including:* Health insurance* Dental insurance* Vision insurance* Long term/short term disability insurance* Employee assistance program* Flexible spending account* Life insurance* Generous time off policies, including;* 4-12 weeks fully paid parental leave based on tenure* 11 paid holidays* Additional flexible paid vacation and sick leave* US benefits overview https://hpbenefits.ce.alight.com/The compensation and benefits information is accurate as of the date of thisposting. The Company reserves the right to modify this information at any time,with or without notice, subject to applicable law.**Job -**Software**Schedule -**Full time**Shift -**No shift premium (United States of America)**Travel -****Relocation -****Equal Opportunity Employer (EEO) -**HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).