MLOps Intern

Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Keysight is at the forefront of AI research and development. We are looking for a motivated and talented MLOps Intern to join our dynamic team. This is an exciting opportunity to work on cutting-edge projects and gain hands-on experience in the field of machine learning operations.

Responsibilities:

• Assist in the development and maintenance of MLOps tools and pipelines.
• Collaborate with the AI research team to deploy and monitor machine learning models.
• Optimize and automate machine learning workflows.
• Ensure the scalability and reliability of machine learning systems.
• Conduct data analysis and generate insights to support AI research.
• Work with data pipeline and data lineage platforms such as LakeFS, Apache Spark, and Snowflake.

Careers Privacy Statement

***Keysight is an Equal Opportunity Employer.***

Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.

Qualifications:

• Currently pursuing or recently completed a Bachelor's degree in Computer Science, Scientific Computing, Machine Learning, or a related field.
• Strong coding skills in Python, Java, and C++.
• Familiarity with machine learning frameworks such as PyTorch, TensorFlow, Keras, and ONNX.
• Solid understanding of MLOps principles and practices.
• Experience with data pipeline and data lineage platforms like LakeFS, Apache Spark, and Snowflake.
• Experience with cloud platforms (e.g., AWS, GCP, Azure).
• Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
• Familiarity with CI/CD pipelines and version control systems (e.g., Git).
• Excellent analytical and problem-solving skills.
• Ability to work collaboratively in a team environment.
• Strong communication skills.