Machine Learning Engineer

Responsibilities

• Develop and program integrated software solutions to support the development, deployment, and lifecycle of machine learning models.
• Train and validate models using appropriate evaluation metrics and optimize hyperparameters to improve performance.
• Design, develop, test, and maintain scalable ML pipelines.
• Deploy machine learning models to production environments, ensuring scalability, reliability, and efficiency.
• Monitor and maintain deployed models, making necessary updates to adapt to changing data or requirements.
• Partner with research, engineering, and CI/CD teams to enhance automated model training and seamless deployment.
• Apply machine learning and statistical modeling techniques to solve complex business or research problems.

Requirements

• Degree in Computer Science, Statistics, Mathematics, Data Science, or a related discipline.
• 4-7 years of professional work experience, or an advanced degree with 3-5 years of experience.
• Proven experience with machine learning algorithms and statistical methods.
• Proficiency in programming languages such as Python, Java, or C++.

Preferred Qualifications

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

About the Company

HP is a global technology leader dedicated to creating innovation that reshapes the way the world works. We foster a culture of respect, diversity, and collective achievement, empowering our teams to build meaningful solutions for the future.