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 $147050 to $230850 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 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 HPsEEO Policy or read about your rights as an applicant under the law here: Know Your Rights: Workplace Discrimination is Illegal