Data Science and AI/ML Developer

Job Description

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

AsaData Science and AI/ML Developer - Associatein 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 Claudemodels,
- 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.