Job description

Senior 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 additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, 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 hpbenefits.ce.alight.com The compensation and benefits information is accurate as of the date of this posting. 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). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal "

Requirements

Must-haves

Senior Machine Learning Engineer
Description -
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.
AWS Certified Machine Learning Specialty or equivalent
Knowledge & Skills
AI/ML Inference Infrastructure
Agile Methodology
Artificial Intelligence
C++ (Programming Language)
Computer Science
Data Science

Nice-to-haves

Preferred Certifications

Application prep

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Keywords to mirror

machine learningmlaiawsagilekubernetesllmpython

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

Parental Leave