ML Frameworks Engineer
4 weeks ago
About the Role:
Grid Dynamics is seeking a highly skilled ML Frameworks Engineer to join our team. As a key member of our data analytics team, you will be responsible for building and maintaining machine learning models that drive business growth and improve customer experience.
Key Responsibilities:
Develop and deploy machine learning models using bleeding-edge technologies such as PRISM, SHAG, and Dark Sky.
Collaborate with cross-functional teams to design and implement data pipelines that optimize spare part logistics and minimize shortages.
Work with technical stakeholders to build solutions that align Large Language Models (LLMs) with specific use cases.
Requirements:
Strong understanding of machine learning principles, especially in the context of LLMs.
5+ years of experience in Python, including machine learning packages like Jax/Tensorflow or PyTorch.
Skills in Java/scala (preferred).
Experience building scalable deep learning systems.
Experience with large-scale data infrastructure.
Strong verbal and written communication skills with the ability to work effectively across internal and external organizations and virtual teams.
What We Offer:
Opportunity to work on cutting-edge projects with a highly motivated and dedicated team.
Competitive salary and flexible schedule.
Full benefits including medical, dental, vision, and corporate social events.
Professional development opportunities to enhance your skills and career growth.
About Us:
Grid Dynamics is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. We provide digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Our team achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and our pool of global engineering talent.
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