Lead 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.





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

Knowledge & Skills
Agile Methodology
Algorithms
Amazon Web Services
Apache Spark
Artificial Intelligence
Automation
Big Data
C (Programming Language)
Computer Science
Data Science
Deep Learning
Java (Programming Language)
Machine Learning
Microsoft Azure
Natural Language Processing
Python (Programming Language)
PyTorch (Machine Learning Library)
Scikit-learn (Machine Learning Library)
Software Engineering
TensorFlow

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.

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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).

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