Data Science and AI/ML Developer - Associate

You are a strategic thinker passionate about driving solutions in Data Science and AI/ML Developer. You have found the right team.

As a Data Science and AI/ML Developer – Associate in our Transformation and Analytics, you will spend each day defining, refining and delivering set goals for our firm.

Job Responsibilities:

• Collaborate with internal stakeholders to identify business needs and develop NLP/ML solutions that address client requirements and drive transformation.

• Scope, prioritize, and coordinate activities with product owners; partner with product teams to identify strategic solutions.

• Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to enhance decision-making and improve workflow efficiency across investment functions, client services, and operational processes.

• Design and implement LLM projects using GPT models, ensuring alignment with business objectives.

• Utilize Data Bricks and AWS infrastructure to build, deploy, and scale machine learning models in production environments.

• Collect and curate datasets for model training and evaluation, ensuring data quality and integrity through effective validation and testing processes.

• Perform experiments using different model architectures and hyperparameters; determine appropriate objective functions and evaluation metrics; run statistical analysis of results.

• Demonstrate proficiency in visualization and storytelling to create impactful business insights.

• Monitor and improve model performance through feedback and active learning. Deliver written, visual, and oral presentations of modeling results to business and technical stakeholders.

• Stay up-to-date with the latest research in LLM, ML, and data science, identifying and leveraging emerging techniques for ongoing enhancement.

• Transform model outputs into formats understandable to end users through visualization, clear tables, and thoughtful presentations; assist technical and non-technical users in leveraging and interpreting the analysis.

Required qualifications, capabilities and skills

• Self-starter, attention to details and results orientated, able to work under minimal guidance.
• Uses pertinent data and facts to identify and solve a range of problems within area of expertise.
• Proficiency in Python, R, and machine learning frameworks like TensorFlow or PyTorch is essential.
• Having mandatory experience in Statistics  along with  Exploratory and regression data analysis
• Strong proficiency in LLM,  concept of vectorization/ vector stores, database optimization, performance tuning, agentic AI LLM, RAG based  agents. Proficient in building evaluation metrics.
• Experience with LLM and other related frameworks like Langchain, LLamaIndex, AutoGen, ReAct , GPT and  Claude models, 
• Experience in  model development using Machine Learning techniques [Data Analysis /Model Tuning].
• Bachelor’s Degree in, Data science, Computer Science, or Engineering.  Different field of study, with significant professional experience in AI oriented Analytics and BI development, is acceptable. 
• Experience Required: 5+ years in Data related projects and 3+ years in Data Science/AI
• Good communication and analytical skills

Preferred qualifications, capabilities and skills

• Exposure for  complex ETL development is an added advantage.
• Knowledge on CI/CD pipelines. 
• Preferred data querying  skills on  SQL (Snowflake, Databricks) and , Python (packages and libraries like Scikit , Kera’s, Pandas, PySpark/PySQL)
• Exposure to low-code BI tools like Alteryx and Tableau.