GenAI Engineer at EXL Talent Acquisition Team

, , India -

Full Time

Start Date

Immediate

Expiry Date

06 Oct, 26

Salary

0.0

Posted On

08 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Python, NLP, RAG Pipelines, LLMs, LangGraph, CrewAI, AutoGen, Pandas, NumPy, Scikit-learn, AWS, Azure, Databricks, SQL, PyTorch

Industry

Business Consulting and Services

Description

Key Responsibilities: * 5+ years of experience as a NLP and Python developer. * Experience with Pandas, NumPy, Scikit, NLP a must have * Key fundamentals in object-oriented design, data structures and systems. * Ability to integrate multiple data sources into a single system. * Familiarity with testing tools. * Ability to collaborate on projects and work independently when required. * Working knowledge of GitHub and Jira * Ability to document requirements and specifications. * Develop and maintain advanced Python-based applications in the Generative AI domain, ensuring high performance, reliability, and scalability. * Implement and optimize Generative AI models, including GPT, LLAMA, Mistral, FLAN T5 and other cutting-edge AI technologies, to create innovative solutions and knowledge graph. * Development of advanced RAG pipelines with proper embeddings, indexing, chunking, reranking, prompts and evaluation * Collaborate with cross-functional teams to integrate AI functionalities into broader systems and applications. * Utilize AWS/Azure/Databricks GPU machines to manage GPU memory effectively, maximizing performance and efficiency. * Stay updated on the latest advancements in Generative AI, Python development practices, and cloud services to continually enhance our AI capabilities. * Assist delivery leads in delivering Generative AI solutions to clients in a timely manner, ensuring client satisfaction and project success. * Design and develop Agentic AI and Multi-Agent Systems leveraging frameworks such as LangGraph, CrewAI, AutoGen, to enable autonomous reasoning, orchestration, task execution, and enterprise workflow automation. Required Skills and Experience: * Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience. * 5+ years of experience in data science, building hands-on ML models. * Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning * Knowledge of advanced RAG pipelines with proper embeddings, indexing, chunking, reranking, prompts and evaluation * Excellent programming skills in Python. Strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc * SQL skills with SQL Server and Spark experience is preferred but not necessary. * Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks * Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling. * Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment * Experience with cloud platforms such as Azure, AWS, Databricks is preferred

Responsibilities

Design and deploy scalable Generative AI solutions, including advanced RAG pipelines and Multi-Agent Systems. Collaborate with cross-functional teams to integrate AI functionalities into enterprise workflows and optimize model performance on GPU machines.