Epicareer Might not Working Properly
Learn More

AI Professional

Salary undisclosed

Checking job availability...

Original
Simplified
About MarvellMarvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, automotive, and carrier architectures, our innovative technology is enabling new possibilities.At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.Your Team, Your Impact Marvell Semiconductors has a world class IT team who is data driven share a strong service mind set and detail oriented. Our IT department implement and maintain the network, IT systems and processes. Its primary function is to ensure that the network, systems run smoothly.What You Can ExpectDesign, develop, and implement machine learning models and AI solutions that address complex business problemsBuild and optimize generative AI applications, including working with large language models and other foundation modelsCollaborate with cross-functional teams to understand requirements and translate them into technical solutionsDevelop and maintain ML pipelines for data preprocessing, model training, and deploymentConduct experimentation and analysis to improve model performance and efficiencyWrite clean, maintainable code following best practices and documentation standardsMonitor model performance in production and implement necessary improvementsStay current with the latest developments in AI/ML and contribute to the team's technical growthWhat We're Looking ForBachelor's or Master's degree in Computer Science, Data Science, or related field with 1+ year of relevant experienceStrong programming skills in Python and familiarity with ML frameworks (PyTorch or TensorFlow)Experience with deep learning architectures and training methodologiesHands-on experience with large language models and generative AI technologiesStrong understanding of ML fundamentals, including supervised and unsupervised learningExperience with ML deployment and MLOps practicesExperience with cloud platforms (AWS, GCP, or Azure) for ML deploymentSelf-motivated with strong project management capabilitiesKeen interest in staying updated with AI/ML advancementsAdditional Compensation and Benefit ElementsWith competitive compensation and great benefits, you will enjoy our workstyle within an environment of shared collaboration, transparency, and inclusivity. We’re dedicated to giving our people the tools and resources they need to succeed in doing work that matters, and to grow and develop with us. For additional information on what it’s like to work at Marvell, visit our page.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.#LI-MC2