Senior Analyst- Gen AI

Senior Analyst- Gen AI:

Elevate Your Impact Through Innovation and Learning

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4, 500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development, work-life balance, and equal opportunity for all.

About Data Analytics (DA)

Data Analytics is one of the highest growth practices within Evalueserve , providing you rewarding career opportunities. Established in 2014, the global DA team extends beyond and growing) data science professionals across data engineering, business intelligence, digital marketing, advanced analytics, technology, and product engineering. Our more tenured teammates, some of whom have been with Evalueserve since it started more than 20 years ago, have enjoyed leadership opportunities in different regions of the world across our seven business lines.

What you will be doing at Evalueserve

• AI Solution Development: Build GenAI solutions using LLMs, RAG, and Langchain to address real-world business problems.
• Agentic AI Systems: Design and implement autonomous agents capable of task planning, decomposition, and tool/API invocation.
• Backend & Orchestration Services: Develop robust Python-based services and orchestrators for managing model interactions, task workflows, and contextual data.
• Cloud-Based Deployment: Deploy and optimize AI models on Azure OpenAI and GCP Vertex AI, ensuring scalability, reliability, and performance.
• API Integration: Integrate OpenAI and other GenAI services into enterprise applications via REST APIs and cloud-native SDKs.
• Prompt Engineering & Fine-Tuning: Craft effective prompts and collaborate on model fine-tuning to align LLMs with domain-specific tasks.
• Performance Tuning: Optimize latency, cost, and throughput of GenAI models running on cloud platforms.
• Documentation & Knowledge Sharing: Maintain clear documentation and mentor junior team members on GenAI concepts, tools, and best practices.

What were Looking for: -

• 35 years of experience in AI/ML, with at least 2+ years hands-on in Generative AI / LLM systems.
• Proven expertise in Langchain , OpenAI APIs, Azure OpenAI , and GCP Vertex AI.
• Strong Python programming skills; experience building REST APIs and microservices.
• Deep knowledge of LLM chaining, RAG, agent-based systems, and task orchestration.
• Experience deploying scalable AI systems in Azure and GCP environments.
• Familiarity with tools like FAISS, Chroma, Pinecone, Weaviate , or other vector stores.

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Knowmore about how Evalueservehas climbed 16 places on the 50 Best Firms for Data Scientists in 2024

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Disclaimer: The following job description serves as an informative referencefor the tasks you may be required to perform. However, it does not constitutean integral component of your employment agreement and is subject to periodicmodifications to align with evolving circumstances.

Please Note : We appreciate the accuracy and authenticity of the informationyou provide, as it plays a key role in your candidacy. As part of the BackgroundVerification Process, we verify your employment, education, and personaldetails. Please ensure all information is factual and submitted on time. Forany assistance, your TA SPOC is available to support you .