Senior Machine Learning Engineer

Responsibilities

• Architect, develop, and program integrated software solutions to support the development, deployment, and lifecycle of machine learning models.
• Build and maintain robust data pipelines and monitoring systems within distributed computing environments.
• Define collection protocols, analyze data sources, and develop, train, and evaluate models.
• Create visualizations of data properties and model performance to drive product improvements.
• Collaborate with DevOps teams to integrate models into production systems and automate deployment processes.
• Engage with business and analytics teams to translate complex data requirements into technical ML solutions.
• Participate in cutting-edge research in artificial intelligence and stay updated on the latest advancements in the field.

Requirements

• Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or a related discipline.
• 7-10 years of professional work experience, preferably in machine learning, algorithms, or statistical methods.
• Proficiency in machine learning algorithms and statistical methods.
• Experience working with distributed computing environments and large-scale data operations.
• Strong software engineering skills and proficiency in programming languages such as Python, Java, or C++.

Preferred Qualifications

• AWS Certified Machine Learning Specialty.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Knowledge of Big Data technologies like Apache Spark.
• Familiarity with cloud platforms including Amazon Web Services (AWS) or Microsoft Azure.
• Experience with Natural Language Processing (NLP) and Scikit-learn.

About the Company

HP is a global technology leader dedicated to creating meaningful innovation. We believe in the power of collective accomplishment and strive to build a future where technology reshapes the way the world works for the better.