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Top Machine Learning Jobs in India

605+ Job Results
24 Days Ago
2 Locations
Remote
327 Employees
Entry level
327 Employees
Entry level
Energy
The Quantitative Associate will develop models supporting decision making in revenue functions, focusing on sales of renewable power, management of solar generation assets, and optimization of battery storage. Responsibilities include designing risk management tools, conducting market analysis, and creating innovative products to maximize profitability and minimize risks.
24 Days Ago
United States of America
85,636 Employees
133K-200K Annually
Senior level
85,636 Employees
133K-200K Annually
Senior level
Aerospace • Logistics • Security • Software • Cybersecurity
The Sr. Principal Data Scientist will assess data management within NSIC, develop data infrastructure guidelines, implement a data lifecycle management framework, ensure data quality, leverage advanced analytics techniques, and identify capacity building programs for personnel.
24 Days Ago
USA
Remote
506 Employees
130K-145K Annually
Senior level
506 Employees
130K-145K Annually
Senior level
Big Data • Analytics
As a Sr. Data Scientist, you will lead the development of advanced scoring and indexing models for predicting business outcomes, collaborate with teams to integrate solutions, conduct data analysis, and ensure the accuracy of models while communicating insights to stakeholders.
24 Days Ago
Atlanta, GA, USA
3,693 Employees
Entry level
3,693 Employees
Entry level
Gaming
As a Machine Learning Engineer at FanDuel, you will leverage data to enhance customer experiences and drive business insights. You will collaborate with engineering and data teams to manage data and develop AI-powered insights, turning user interactions into actionable knowledge.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+57 More
24 Days Ago
2 Locations
Remote
83 Employees
100K-120K Annually
Entry level
83 Employees
100K-120K Annually
Entry level
Healthtech
The Business Intelligence Developer will design and implement BI solutions, create reports, dashboards, and visualizations from complex data. They will collaborate with stakeholders to understand data needs and enhance existing BI systems for accuracy and efficiency in data-driven decision-making.
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