ML Engineer

Skills Required

3 to 6 years of professional software development experience with strong proficiency in Python.
Hands-on experience building applications that interact with or utilize Generative AI models (e.g., Large Language Models - LLMs).Familiarity with key Generative AI concepts like prompt engineering, Retrieval-Augmented Generation (RAG).Experience with relevant Python libraries and frameworks for application development (e.g., Flask, FastAPI, Streamlit, LangChain, Hugging Face Transformers).Solid understanding of software engineering principles, including API design, data structures, and algorithms.Experience with version control systems (e.g., Git).Ability to work effectively in a collaborative team environment.

Qualifications

Essential functions
3 to 6 years of professional software development experience with strong proficiency in Python.Hands-on experience building applications that interact with or utilize Generative AI models (e.g., Large Language Models - LLMs).Familiarity with key Generative AI concepts like prompt engineering, Retrieval-Augmented Generation (RAG).Experience with relevant Python libraries and frameworks for application development (e.g., Flask, FastAPI, Streamlit, LangChain, Hugging Face Transformers).Would be a plusSolid understanding of software engineering principles, including API design, data structures, and algorithms.Experience with version control systems (e.g., Git).Ability to work effectively in a collaborative team environment.We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office
  

About Us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 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.