Required Skills and Experience:
- Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.
- 3+ 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
Key Responsibilities:
- 3+ 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.
Bachelor's/Master's in Engineering 2-5 years
Skills Required
- Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience
- 3+ years of experience in data science, building hands-on ML models
- Awareness of entire NLP evolution, training data creation, training setup and finetuning
- Knowledge of advanced RAG pipelines including embeddings, indexing, chunking, reranking, prompts and evaluation
- Excellent programming skills in Python and experience with NumPy, Pandas, Scikit-learn, Jupyter
- SQL skills (SQL Server and Spark experience preferred)
- Knowledge of predictive/prescriptive analytics including supervised, unsupervised, deep learning and neural networks
- Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling
- Experience implementing and optimizing Generative AI models (GPT, LLaMA, Mistral, FLAN-T5) and knowledge graph development
- Experience with cloud platforms and GPU machines (AWS, Azure, Databricks) to manage GPU memory and performance
- Working knowledge of GitHub and Jira
- Familiarity with testing tools and ability to document requirements and specifications
- Excellent verbal and written communication, troubleshooting and problem-solving skills, ability to collaborate and work independently
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
