Lead Machine Learning Engineer

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.
 

Job -

Software

Schedule -

Full time

Shift -

No shift premium (Brazil)

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’sEEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"