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7 Syncron Services India Jobs
Senior Product Owner
Syncron Services India
posted 1mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Define and execute a cohesive vision for tools and capabilities that optimize the ML model lifecycle from development and deployment to real-time monitoring and performance optimization.
- Stay abreast of industry advancements in MLOps, cloud-native ML frameworks, and AI governance to ensure the platform remains cutting-edge and competitive.
- Collaborate with Developers, Data Scientists, Machine Learning Engineers, and business stakeholders to identify pain points and prioritize solutions that maximize productivity and scalability.
- Collaborate with client-facing teams to understand the challenges and requirements of client Data Scientists and tailor solutions accordingly.
- Facilitate workshops and discussions to gather feedback, refine requirements, and align roadmap priorities
- Drive a user-centric approach to product development, ensuring tools are intuitive for both advanced Data Scientists and business analysts.
- Conduct regular feedback loops with internal and client users to refine and enhance features.
- Define success metrics for internal adoption (e.g., time-to-deployment, number of operational models) and client satisfaction (e.g., ease of use, reliability
- Innovation: Keep abreast of industry trends, bring in new technologies, and technically innovate to ensure the platform remains in front.
- Strategy: Alongside the VP of your area, develop and communicate a product roadmap, prioritising improvements that are in line with the strategic directionand vision of the company.
- Communication: Work with stakeholders across multiple timezones and cultures to ensure product sucess across all relevant markets
- Best Practice: Master product discipline, practice, and process to build a culture that is continuously improving and sets the bar for excellence.
- Collaboration: Work closely with engineering, design and research teams to ensure product management processes are cross-functional and help the company achieve its wider aims.
- Performance Tracking: Define, track, and analyse key metrics to ensure the product is successful and features are genuinely delivering value.
- Data-Driven Decisions: Drive continuous improvement of the product using insights learned from the data on performance.
- Bachelor s or master s degree in computer science, Engineering, or a related technical field.
- 5+ years of experience as a Product Owner, Product Manager, or similar role in data platforms, data science or related products.
- Proven experience to define product roadmaps and translate business requirements into technical specifications
- Exceptional ability to work with diverse stakeholders, translating technical requirements into actionable user stories.
- In-depth knowledge of the ML model lifecycle, including development, training, deployment, and monitoring.
- Useful (but not necessary) to understand data science workflows, tools, and methodologies (e.g., Python, R, SQL, TensorFlow, PyTorch).
- Familiarity with MLOps practices, including model lifecycle management, CI/CD for ML, and orchestration tools like Airflow or Mage.ai.
- Strong understanding of MLOPS tools such as (MLFlow, Sagemaker, Databricks, Kubeflow etc)
Employment Type: Full Time, Permanent
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