500000 - 2800000 INR - Yearly
Bangalore, Karnataka, India
Information Technology
Full-Time
VyTCDC
Overview
Job Description
Role: Data Scientist
Responsibilities
Lead data science and machine learning projects, contributing to model development, optimization and evaluation.
Perform data cleaning, feature engineering, and exploratory data analysis.
Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.
Collaborate with other DS and engineers to deliver projects.
Technical Skills – Must Have
Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.
Proficiency with Python for data analysis, supervised & unsupervised learning ML tasks.
Ability to translate complex machine learning problem statements into specific deliverables and requirements.
Should have worked with major cloud platforms such as AWS, Azure or GCP.
Working knowledge of SQL and no-SQL databases.
Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.
Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.
Strong understanding of evaluation and monitoring metrics for machine learning projects.
Skills:- Data Science, Python and Large Language Models (LLM)
Role: Data Scientist
Responsibilities
Lead data science and machine learning projects, contributing to model development, optimization and evaluation.
Perform data cleaning, feature engineering, and exploratory data analysis.
Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.
Collaborate with other DS and engineers to deliver projects.
Technical Skills – Must Have
Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.
Proficiency with Python for data analysis, supervised & unsupervised learning ML tasks.
Ability to translate complex machine learning problem statements into specific deliverables and requirements.
Should have worked with major cloud platforms such as AWS, Azure or GCP.
Working knowledge of SQL and no-SQL databases.
Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.
Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.
Strong understanding of evaluation and monitoring metrics for machine learning projects.
Skills:- Data Science, Python and Large Language Models (LLM)
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