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ML Engineer @ Grid Dynamics

Home > Data Science & Machine Learning

 ML Engineer

Job Description

Final Level discussion Face to Face Mandatory

Details on tech stack

  • Strong programming skills in Python
  • Hands-on experience with building LLM-based applications (preferably AI Agents), prompt engineering, vector search
  • Experience with at least one cloud provider (Azure, GPC, AWS)

Nice to have requirements to the candidate

  • Background in Data Science / ML Engineering, NLPexperience with MSFT Azure

ABOUT COMPANY:

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, and advanced analytics services. Fusing technical vision with business acumen, we enable positive business outcomes for enterprise companies undergoing business transformation by solving their most pressing technical challenges. A key differentiator for Grid Dynamics is our 7+ years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization, and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India. Follow us on LinkedIn

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time

Contact Details:

Company: Grid Dynamics
Location(s): Hyderabad

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Keyskills:   Generative Ai Azure Cloud Large Language Model AWS Python GCP

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Grid Dynamics

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