Analyst-GenAI

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 and work-life balance.

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 1000+ (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

Design, develop, and optimize LLM-based applications for various use cases such as chatbots, content generation, summarization, and code generation.

Design, develop, and deploy high-performance Generative AI applications using Python, LLMs, and deep learning frameworks.

Write clean, modular, and scalable code while ensuring best practices in software development.

Fine-tune and deploy large-scale open-source and proprietary language models (e.g., OpenAI GPT, LLaMA, Mistral, Falcon, Claude).

Implement prompt engineering, retrieval-augmented generation (RAG), and model optimization techniques to improve AI performance.

Work with vector databases (FAISS, ChromaDB, Weaviate, etc.) for efficient retrieval and indexing of large datasets.

What were looking for

A bachelor's / masters degree in computer sciences, information systems, statistics, or mathematics, with 1-3 years of experience in software development

Collaborate with cross-functional teams, including data scientists, MLOps engineers, and product managers, to integrate AI models into production systems.

Optimize model performance and reduce latency using quantization, distillation, and pruning techniques.

Stay up to date with cutting-edge research in AI, NLP, and deep learning to continuously improve solutions.

Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) for model deployment.

Strong problem-solving skills and experience working in an agile development environment.

1+ years of experience in AI/ML, deep learning, or software development

Follow us on https://www.linkedin.com/compan y/evalueserve/

Click here to learn more about what our Leaders talking onachievements AI-poweredsupply chain optimization solution built on Google Cloud.

HowEvalueserve isnow Leveraging NVIDIA NIM to enhance our AI and digital transformationsolutions and to accelerate AI Capabilities .

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

Want to learn more about ourculture and what its like to work with us?

Write to us at: careers@evalueserve.com

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 .