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.

Conditions

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 https://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 -