Product Manager-Decision Science
at Couture.ai
4 - 7 yrs
₹18L - ₹35L / yr (ESOP available)
Bengaluru (Bangalore)
Skills
Product Management
Decision Science
Machine Learning (ML)
Deep LearningProduct Strategy
Personalization
Search
Job Description: Decision Science Openings at Couture AI
About Company
Couture AI Platform provides Pluggable Building Blocks to entire
AI stack, which are used to build and productionize varied
enterprise ML and deep learning use cases. It has enabled some
of largest global organizations implement specific vertical
targeted products build on top of its proprietary AI platform.
Nature of Business Artificial Intelligence Platform
Company Website www.couture.ai
Job Designation Product Manager - Decision Science
Job Location Bengaluru
Job Description &
Skills Required
Basic Qualifications:
• Bachelors (+Masters preferred) in Computer
Science/Mathematics/Research (Machine Learning, Deep
Learning, Statistics, Data Mining, Game Theory or core
mathematical areas) from Tier-1 institutes (IITs, IISc, BITS, IIITs,
top-ranked global Universities) with good individual academic
score.
Looking for decision science managers.
• Strong working knowledge of deep learning, machine
learning, and statistics.
- Domain understanding of Personalization, Search, Visual
and Videos.
• Expertise in using Python, statistical/machine learning libs.
• 5+ years of hands-on experience defining large scale AI
solutions and its deployment for millions of customers.
• Expertise with understanding the raw data, data
transformation and feature selection.
• Expertise with understanding of metric-driven impact-analysis
of the AI solutions.
• Ability to think creatively and solve problems.
Key Responsibilities:
• Take ownership of end-to-end engagement from defining to
delivering the business requirements, working with various
stakeholders within Couture AI and customers.
• Create feedback loops to generate the product roadmaps.
• Formulate the appropriate predictive, analytic, ML or Deep
learning solutions leveraging Couture AI Platform.
• Carry out a cost benefit comparison of various solutions, not
only driven by analytical rigor of the solutions, but also the
pragmatic aspects of deployment, data and adoption cost.
• Work with platform and tech teams to implement the
solutions.
• Drive adoption of the Couture AI Platform solutions via
demonstrating improvement in success metrics and interfacing
with business partners from other teams.
• Building business cases and models to quantify new
opportunities, using data and solid business judgment.
About Company
Couture AI Platform provides Pluggable Building Blocks to entire
AI stack, which are used to build and productionize varied
enterprise ML and deep learning use cases. It has enabled some
of largest global organizations implement specific vertical
targeted products build on top of its proprietary AI platform.
Nature of Business Artificial Intelligence Platform
Company Website www.couture.ai
Job Designation Product Manager - Decision Science
Job Location Bengaluru
Job Description &
Skills Required
Basic Qualifications:
• Bachelors (+Masters preferred) in Computer
Science/Mathematics/Research (Machine Learning, Deep
Learning, Statistics, Data Mining, Game Theory or core
mathematical areas) from Tier-1 institutes (IITs, IISc, BITS, IIITs,
top-ranked global Universities) with good individual academic
score.
Looking for decision science managers.
• Strong working knowledge of deep learning, machine
learning, and statistics.
- Domain understanding of Personalization, Search, Visual
and Videos.
• Expertise in using Python, statistical/machine learning libs.
• 5+ years of hands-on experience defining large scale AI
solutions and its deployment for millions of customers.
• Expertise with understanding the raw data, data
transformation and feature selection.
• Expertise with understanding of metric-driven impact-analysis
of the AI solutions.
• Ability to think creatively and solve problems.
Key Responsibilities:
• Take ownership of end-to-end engagement from defining to
delivering the business requirements, working with various
stakeholders within Couture AI and customers.
• Create feedback loops to generate the product roadmaps.
• Formulate the appropriate predictive, analytic, ML or Deep
learning solutions leveraging Couture AI Platform.
• Carry out a cost benefit comparison of various solutions, not
only driven by analytical rigor of the solutions, but also the
pragmatic aspects of deployment, data and adoption cost.
• Work with platform and tech teams to implement the
solutions.
• Drive adoption of the Couture AI Platform solutions via
demonstrating improvement in success metrics and interfacing
with business partners from other teams.
• Building business cases and models to quantify new
opportunities, using data and solid business judgment.
Read more
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Subodh Popalwar
Software Engineer, MemorresFor 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
Companies hiring on Cutshort
About Couture.ai
Founded :
2017
Type
Size
Stage :
Profitable
About
We are building patent-pending AI platform targeted towards vertical-specific solutions.
The platform is already licensed by Reliance Jio and few European retailers, to empower real-time tailored experiences for their combined >200 million end users.
After integrating our SDK with initial clients, we have seen product view increased by 25% and sales conversion went up to 3 times.
Couture.ai is founded by global innovators and entrepreneurs with experience and self-funding of creating global startup success stories in past. The core team consists of some of the best minds in India in Machine learning and Deep learning research.
Read more
Company social profiles
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Subodh Popalwar
Software Engineer, MemorresFor 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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