Qureos Mentor

Grid Dynamics

<div>We provides innovative tech solutions to drive operational efficiency across the Globe. 
We are exploring innovative GenAI applications to enhance consumer engagement on retail platforms. 
This initiative focuses on creating a Party Planner experience within a Tesco replica site hosted on MDSL. This effort aims to showcase how AI-driven tools can improve product discovery and event-based shopping journeys. 
The solution is expected to drive long-term value by enabling scalable, brand-aligned digital experiences while adhering to budget, security, and compliance constraints. 
Responsibilities<ul><li> 
Strong programming skills in Python, including popular libraries such as LangChain, Transformers, FastAPI, or similar.</li><li>
Design, develop, and deploy applications utilizing Large Language Models (LLMs) such as GPT, LLaMA, Claude, etc.</li><li>
Build and optimize AI agent frameworks, leveraging prompt engineering best practices.</li><li>
Develop and integrate vector databases (e.g., FAISS, Pinecone, Weaviate) for efficient semantic search and retrieval.</li><li>
Collaborate with data scientists and ML engineers to operationalize NLP and generative AI models.</li><li>
Optimize inference and fine-tuning workflows for performance, reliability, and scalability.</li><li>
Work closely with DevOps and Cloud Engineering teams to deploy and monitor applications on Microsoft Azure (experience with Azure ML, Azure OpenAI, or Cognitive Services preferred).</li><li>
Stay current with advancements in the LLM and GenAI space and apply them to solve real-world business problems.</li><li>
Write clean, maintainable code and contribute to internal knowledge sharing.</li></ul> 
Requirements<ul><li> 
Experience with open-source LLMs (e.g., LLaMA, Mistral, Falcon, or Mixtral).</li><li>
Familiarity with agent frameworks such as LangChain Agents, AutoGPT, or Semantic Kernel.</li><li>
Prior work on Retrieval-Augmented Generation (RAG) pipelines.</li><li>
Understanding of MLOps principles and model lifecycle management.</li></ul> 
Nice to have<ul><li> 
Background in Data Science / ML Engineering, NLP</li><li>
Experience with MSFT Azure</li></ul> 
We offer 
<ul><li>Opportunity to work on bleeding-edge projects</li>
<li>Work with a highly motivated and dedicated team</li>
<li>Competitive salary</li>
<li>Flexible schedule</li>
<li>Benefits package - medical insurance, sports</li>
<li>Corporate social events</li>
<li>Professional development opportunities</li>
<li>Well-equipped office</li>
</ul>
 
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 &amp; DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.</div>

ML Engineer

Join Grid Dynamics and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Grid Dynamics

ABOUT_COMPANY

ML Engineer