Data Science + Gen AI with below mandatory skills.

Must to Have : Agent Framework, RAG Framework, Chunking Strategies, LLMs, AI on cloud

Services, Open Source Frameworks like Langchain, Llama Index, Vector Database, Token

Management, Knowledge Graph, Vision

Exp Range - 6 to 9 years

Requirements

Major Duties & Responsibilities

Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business

questions

Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment

and operationalization of projects

Influence machine learning strategy for Digital programs and projects
Make solution recommendations that appropriately balance speed to market and analytical soundness
Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor
Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R,

TensorFlow)

Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations
Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations,

scenarios, and stories.

Create algorithms to extract information from large, multiparametric data sets
Deploy algorithms to production to identify actionable insights from large databases
Compare results from various methodologies and recommend optimal techniques
Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations,

scenarios, and stories.

Develop and embed automated processes for predictive model validation, deployment, and implementation
Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science
Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate

reusability, and reliability upon deployment

Lead discussions at peer review and use interpersonal skills to positively influence decision making
Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make

impactful contributions to internal discussions on emerging practices

Facilitate cross-geography sharing of new ideas, learnings, and best-practices

Required Qualifications

Bachelor of Science or Bachelor of Engineering at a minimum
6-9 years of work experience as a Data Scientist
A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to

quickly cycle hypothesis through the discovery phase of a project

Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL,

Hadoop/Hive, Scala)

Good hands-on skills in both feature engineering and hyperparameter optimization
Experience producing high-quality code, tests, documentation
Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML,

Synapse, Databricks

Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine

learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies

Proficiency in statistical concepts and ML algorithms
Good knowledge of Agile principles and process
Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team
Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and

results

Self-motivated and a proactive problem solver who can work independently and in teams

Benefits

Work with one of the Big 4's in India

Data Science - Senior Consultant