AI/ML Program Manager with Agile experience

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Company: InfiCare Software Technologies

Location: San Jose, CA 95123

Description:

Core Skills:
Proficiency in Python, SQL, Excel, and Power BI.
Strong data analysis skills with the ability to quickly understand and interpret data.
Expertise in reading and digesting dashboards and reports to generate actionable insights.
Ability to present insights and conclusions effectively to senior leaders.
Creative problem-solving skills using data, with a knack for developing quick and innovative solutions.
Strong communication skills to present complex data and ideas in a simple, non-technical manner for easy understanding

AI & Advanced Analytics Expertise:
Deep understanding of current trends in AI and AI transformation.
Ability to apply the latest AI tools and technologies to solve business problems.
Technical knowledge of AI technologies with hands-on experience in developing AI applications, including Classical ML, Deep Learning, and Generative AI.
Hands-on coding experience is highly desirable.

Preferred Qualifications:
Strong understanding of data warehousing (DW) concepts.
Experience in Snowflake, Tableau, and DBT is a plus.

Skills:
  • AI/ML Expertise: Understanding of machine learning lifecycle, model deployment, and data pipelines.
  • Agile & Scrum: Strong knowledge of Agile methodologies, sprint planning, backlog grooming, and working with cross-functional teams.
  • Project & Program Management: Experience in managing AI/ML projects end-to-end, including risk management, stakeholder communication, and resource allocation.
  • Technical Understanding: Familiarity with ML frameworks (TensorFlow, PyTorch), cloud platforms (AWS, GCP, Azure), and MLOps best practices.
  • Collaboration: Working closely with data scientists, engineers, and business stakeholders to ensure AI projects align with strategic goals.
  • Metrics & ROI Measurement: Defining key performance indicators (KPIs) for AI models and tracking their success post-deployment.

Responsibilities:
  • Leading AI/ML initiatives, ensuring they align with business objectives.
  • Managing cross-functional teams to develop and deploy AI solutions efficiently.
  • Facilitating Agile ceremonies (stand-ups, sprint reviews, retrospectives).
  • Ensuring AI/ML models are continuously improved and integrated into business processes.
  • Managing risks, dependencies, and compliance challenges in AI deployments.
  • Driving innovation by exploring new AI trends and methodologies.

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