Gen AI/ ML Data Scientist

Exciting Opportunity: GenAI / ML Data Scientist Role!Location: Chennai / Gurgaon / NCRNotice Period: 1530 DaysExperience: 5–8 YearsPosition: GenAI / ML Data Scientist (Team Manager Level)Domain: Generative AI, Data Engineering, NLP, Advanced AnalyticsWork Mode: Work from Office – 5 Days a Week

Exciting Career Opportunity!

product-centric insight & automation services company

Job / Role Information:

Designation:

Purpose of the Job/Role

KEY RESPONSIBILITIES:

Data Science:

• Develop

  machine learning models

  to support

  recommendation systems

  and

  NLP projects

• Provide actionable insights for

  product and service optimization

Data Engineering:

• Build and maintain

  scalable ETL pipelines

• Optimize

  data storage solutions

  (data lakes, columnar formats) and ensure

  data accuracy

  for analytics

Data Analysis & Insight Generation:

• Analyze complex datasets to uncover

  trends

  and

  patterns

• Generate and present insights that drive

  strategic decisions

  and enhance

  client services

Stakeholder Collaboration:

• Work with

  product and service teams

  to understand

  data needs

  and translate them into

  technical solutions

Working Relationships:

• Reporting to:

  VP Business Growth

• External Stakeholders:

  Clients

Skills/Competencies Required:

Technical Skills:

• Proficiency with

  Python

  (Pandas, NumPy),

  SQL

  , and

  Java

• Experience with

  LLMs

  ,

  Lang Chain

  , and

  Generative AI

  technologies
• Familiarity with

  ML frameworks

  (TensorFlow, PyTorch) and

  data engineering tools

  (Spark, Kafka)
• Strong

  data analysis skills

  and ability to present findings to both technical and non-technical stakeholders
• Proficient in key

  data engineering concepts

  , such as

  data lakes

  ,

  columnar formats

  ,

  ETL tools

  , and

  BI tools

• Knowledge in

  Machine Learning

  ,

  NLP

  ,

  Recommender systems

  ,

  personalization

  ,

  Segmentation

  ,

  microservices architecture

  , and

  API development

• Ability to adapt to a

  fast-paced

  ,

  dynamic work environment

  and quickly learn new technologies

Soft Skills:

• Work well in a

  team

  or independently
• Excellent

  written

  &

  verbal communication skills

• Strong

  critical thinking

  and

  questioning

  skills
• High degree of

  flexibility

  willing to fill in the gaps rather than relying on others
• Strong

  communication

  skills, especially in presenting

  data insights

• Flexibility, problem-solving, and a

  proactive approach

  in a

  fast-paced environment

Academic Qualifications & Experience Required:

Required Educational Qualification & Relevant Experience:

• Bachelor's Degree

  in

  Computer Science

  ,

  Data Analytics

  ,

  Engineering

  , or a related field
• Minimum

  3 to 5 years

  of experience in

  data science

  and

  data engineering

• Strong

  critical thinking

  abilities and capacity to work autonomously
• Proficient understanding of key

  data engineering concepts

  (data lakes, columnar formats, ETL tools, and BI tools)
• High

  motivation

  ,

  good work ethic

  , maturity, and personal initiative
• Strong

  oral

  and

  written communication

  skills

Equal Opportunity Employer

inclusive

Interested?

Send your resume to: