Job Description

Role Purpose

Data Scientist with Python Gen AI & AWS Cloud 
Python, GenAI, AWS, NLP , AI/ML , LLM
Architect and implement Al solutions utilizing cutting-edge technologies like LLM, Langchain, and Machine Learning.   
AIML solution development in Azure using Python
Ability to build and finetune the model to improve the performance
Create own technology if off-the-shelf technology is not solving the problem. E.g changes to traditional RAG approaches, finetune LLM, create architectures.
Use experience and advise leadership and team of data scientists’ best approaches, architectures for complex ML use cases.
Lead from the front, responsible for coding, designing, and ensuring best practices & frameworks are adhered by the team.
Create end to end AI systems with responsible AI principles
Develop data pipelines using SQL to extract and transform data from Snowflake for Al model training and inference.
Possess expertise in Natural Language Processing (NLP) & GenAI to integrate text-based data sources into the Al architecture.
Collaborate with data scientists and engineers to ensure seamless integration of Al components into existing systems.
Responsible for continuous communication about the team progress to key stakeholder 
 

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Do

1. Demand generation through support in Solution development

a. Support Go-To-Market strategy

i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation

ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales

b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses

2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions

a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions

b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options

c. Integrate model performance management tools into the current business infrastructure

3. Team Management

a. Resourcing

i. Support recruitment process to on-board right resources for the team

b. Talent Management

i. Support on boarding and training for the team members to enhance capability & effectiveness

ii. Manage team attrition

c. Performance Management

i. Conduct timely performance reviews and provide constructive feedback to own direct reports

ii. Be a role model to team for five habits

iii. Ensure that the Performance Nxt is followed for the entire team

d. Employee Satisfaction and Engagement

i. Lead and drive engagement initiatives for the team

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Deliver 

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