
Product Manager
1 week ago
Key Responsibilities :
- Translate business problems into clear AI/ML product requirements.
- Collaborate with data scientists and engineers to define success metrics, datasets, and model evaluation frameworks.
- Prioritize product features and improvements based on user research, data analysis, and business value.
- Ensure model performance, explain ability, fairness, and compliance with ethical standards.
- Drive experimentation, A/B testing, and iteration cycles for continuous product improvement.
- Serve as the liaison between engineering, data science, design, and stakeholders to ensure timely and high-quality delivery.
- Stay abreast of emerging AI trends, technologies, and best Experience (UX) :
- Define key performance indicators (KPIs) for product success and regularly report on product performance to :
- Basic understanding of machine learning concepts, model lifecycle, and data infrastructure.
- Proven experience translating complex technical requirements into scalable product solutions.
- Familiarity with MLOps, model evaluation metrics, and deployment pipelines.
- Exceptional communication and stakeholder management skills.
- Experience with agile product development and tools (e, Jira, Confluence, Figma, :
- Experience with LLMs, generative AI, or AI applications in NLP, computer vision, or recommendation systems.
- Background in computer science, engineering, data science, or a related field.
- Prior startup or high-growth environment experience
(ref:hirist.tech)
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