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Acronotics - Project Manager - AI / ML

Acronotics - Project Manager - AI / ML

ACRONOTICS PRIVATE LIMITEDBangalore
30+ days ago
Job description

Role Overview :

We are seeking a highly capable Project Manager with hands-on experience delivering AI / ML and GenAI projects within enterprise environments. This role combines strong project management leadership with technical fluency, enabling you to work closely with data engineers, AI / ML experts, and cloud architects.

You will drive the successful delivery of a multi-phase GenAI and data platform project, overseeing timelines, dependencies, team output, stakeholder communication, and the orchestration of a hybrid team operating within the Azure AI ecosystem.

Key Responsibilities :

  • Lead the end-to-end delivery of AI / ML & GenAI initiatives across all phases : discovery, prototyping, development, testing, deployment, and support
  • Manage a team of AI / ML engineers, data engineers, and business analysts to ensure timely, quality deliverables
  • Translate high-level goals into clear technical roadmaps, sprint plans, and deliverables
  • Work closely with architects to align system design with delivery timelines and enterprise constraints
  • Define and manage project metrics, risks, dependencies, and stakeholder expectations
  • Own sprint planning, daily standups, retrospectives, and delivery ceremonies using Agile or hybrid methods
  • Ensure traceability from business requirements to technical implementation and QA sign-off
  • Act as the first technical point of contact with internal stakeholders and external contributors

Required Skills and Experience :

  • 7+ years of experience in project or program management, with at least 3 years managing AI / ML and GenAI projects
  • Deep familiarity with machine learning, LLM-based systems, and data platform pipelines, ideally in Azure (Fabric, OpenAI, Azure ML, Data Factory, Synapse)
  • Proven ability to manage multidisciplinary technical teams, including AI engineers, data engineers, and business analysts
  • Hands-on experience using tools like Jira, Azure DevOps, Confluence, and Git
  • Strong understanding of project lifecycle for cloud-based AI applications, including experimentation, model tuning, evaluation, and production deployment
  • Ability to evaluate technical tradeoffs and assist in solution design
  • Strong stakeholder communication and status reporting skills, including for non-technical audiences (e.g. CFOs, program sponsors)
  • Experience with Azure AI Foundry, LangChain, vector databases (e.g. Azure Cognitive Search, Pinecone)
  • Familiarity with forecasting models and time-series ML applications
  • PMI-ACP, PMP, or Scrum certifications (preferred but not essential)
  • Experience delivering projects in highly regulated or enterprise environments (e.g. manufacturing, finance)
  • (ref : hirist.tech)

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