Machine Learning Engineer

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., * 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., 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.

• 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

The pay range for this role is $147,050 to $230,850 USD annually with additional, 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