Product Owner

1 week ago


HyderabadRemote, IN RANDOMTREES PRIVATE LIMITED Full time

What you'll do :


- Lead the development of innovative Generative AI products, ensuring strategic alignment with business goals.


- Champion user needs by evangelizing and driving widespread adoption of your Generative AI products across the organization.


- Collaborate with cross-functional teams - AI, data science, engineering, marketing - to transform ideas into reality.


- Integrate Generative AI assets seamlessly into existing enterprise data pipelines and platforms for optimal performance.


- Define and track key performance indicators (KPIs) to measure product success and drive continuous improvement.


- Clearly communicate capabilities and value propositions to diverse stakeholders, including technical and non-technical audiences.


You're a perfect fit if you have :


- Bachelor's degree in analytics (Data Science, Computer Science, Engineering) with 7+ years of experience in data science, analytics, engineering, or product management.


- 2-3 years of hands-on product management experience, demonstrating a track record of successful product launches.


- 2+ years of software development experience (ML-adjacent projects preferred), with a deep understanding of software development and design principles.


- Experience working with various types of data and a strong understanding of the entire data science lifecycle (data engineering, EDA, Machine Learning, MLOps, Serving).


- Experience working in Agile teams and a passion for collaborative innovation.


- Hands-on experience developing Machine Learning-based products with Large Language Models and Generative AI solutions is a big plus


- Excellent written and verbal communication skills to effectively engage with both technical and non-technical audiences.


Bonus points for :


- Advanced degree in Data Science, Computer Science, or related field.


- Experience with data science platforms like Dataiku Data Science Studio or AWS SageMaker.


- Developed and operated parametrized, automated, and reusable analytic workflows.


- Knowledge of Pharma & Life Science commercial functions and data literacy.

(ref:hirist.tech)

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