Lead I - Data Science-Gen AI

Monitors project progress by tracking activity; resolving problems; publishing progress reports; recommending actions

Maintains system protocols by writing and updating procedures

Provides references for users by writing and maintaining user documentation; providing help desk support; training users

Maintains user confidence and protects operations by keeping information confidential

Prepares technical reports by collecting, analysing, and summarizing information and trends

Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies

Professional experience of 5-7 years in business analysis, requirement gathering, solution workflow design for AI/ML/Analytics project

Experience In Programming Skills In Python And SQL

Strong understanding of ML libraries and applications e.g., Time series analysis, Neural Net, SVMs, boosting methods and implementation using Python

Experience in Deep learning techniques

Excellent Communication skills to effectively collaborate with business SMEs, UX team

Intermediate knowledge with Dev Ops practices, including CICD, Automation, Build Management, and Versioning

Understanding of Cloud services, including Microsoft Azure, GCP or Amazon Web Service

Experience in LLM/Gen AI - Prompt Engineering, RAG and parameter hypertuning

Experience in Pyspark will be an added advantage

Responsibilities

Excellent problem solving, Critical and Analytical thinking skills and hands on coding skills

Proficient in Data fetch, data merge, data wrangling, exploratory data analysis and feature engineering

Python, SQL Skills with working knowledge of machine learning algorithms

Drive client engagement fully and align the development team towards a technical roadmap

Implements analytical requirements by defining and analysing system problems; designing and testing standards and solutions

Develops solution by preparing and evaluating alternative workflow solutions

Determines operational objectives by studying business functions; gathering information; evaluating output requirements and formats

Designs new analytical solutions by analysing requirements; constructing workflow charts and diagrams; studying system capabilities; writing specifications

Improves systems by studying current practices; designing modifications

Recommends controls by identifying problems; writing improved procedures

Defines project requirements by identifying project milestones, phases, and elements; forming project team; establishing project budget, data science,python,pyspark,sql

provider of digital technology and transformation, information technology and services