Engineer - AI NLP Solutions

Engineer - AI NLP Solutions:

Elevate Your Impact Through Innovation & 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 Innovation and Technology Center (ITC)

Our Innovation and Technology Centre specializes in creating modular solutions to meet clients' specific needs. As a member of the team, you will have the opportunity to develop and implement digital products, platforms, and tools specifically designed for research, analytics, and data management domains. We are at the forefront of technological advancements, and our AI efforts rely on our larger platform called AI for Research and Analytics (AIRA).

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 youll need to have:

• 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.
• 3-5 years of experience in AI/ML, deep learning, or software development.

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Disclaimer: Thefollowing job description serves as an informative reference for the tasks youmay be required to perform. However, it does not constitute an integralcomponent of your employment agreement and is subject to periodic modificationsto align with evolving circumstances.

Please Note :We appreciate the accuracy and authenticity of the information you provide, asit plays a key role in your candidacy. As part of the Background Verification Process, we verify your employment, education, and personal details. Please ensure allinformation is factual and submitted on time. For any assistance, your TA SPOCis available to support you .