Accellor
Website:
accellor.com
Job details:
About The Job
We are seeking a Project Manager with a strong background in agile methodologies and application development to lead our technical projects focused on AI & ML delivery.
The ideal candidate will be responsible for ensuring the successful execution of our software development projects, maintaining high standards of software quality, and delivering value to our clients.
Responsibilities
- Lead end-to-end delivery of AI/ML, Data Engineering, and Digital Transformation projects from initiation through production deployment.
- Drive cross-functional collaboration between AI Engineers, Data Scientists, Software Developers, MLOps Engineers, Cloud Architects, and business stakeholders.
- Actively participate in requirement gathering and requirement analysis process and create business requirement documents to drive clarity.
- Work with Product Managers & Executives to prioritize projects across the organization based on company goals and objectives.
- Exhibit a solid understanding of application of Software Development Life Cycle (SDLC) methodology, including requirements definition, stakeholder feedback, development, and deployment.
- Lead a cross-functional team in a matrixed organization for successful, on-time delivery.
- Think out-of-the-box in optimizing delivery practices, resources, and key performance factors to ensure successful delivery.
- Provide expert knowledge of Agile, Kanban, Waterfall, and iterative project management methodologies.
- Understanding of latest cloud computing and data technologies, business drivers, emerging computing trends, and deployment options.
- Deep understanding of Application, Infrastructure and security architecture and non-functional aspects like Performance, Scalability, Reliability and Availability.
- Preparing, planning, executing, monitoring, controlling, and closing the project or sub project according to contractual scope and commitment against project budget.
- Own and manage the Root Cause Analysis (RCA) activities for all Critical Incidents, ensuring all corrective and preventive actions are progressed towards permanent resolution.
- Project Estimation, Planning, Monitoring and Status Reporting.
Required
- Total 8-10 years of experience managing complex software development projects using Agile methodologies.
- Good understanding of AI/ML lifecycle, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), NLP, and Computer Vision projects.
- Collaborate with technical teams to translate business requirements into AI-driven solutions while ensuring scalability, security, and governance.
- Coordinate MLOps activities including model deployment, monitoring, versioning, and continuous improvement.
- Familiarity with AI governance, Responsible AI principles, data privacy, and regulatory compliance.
- Strong communication and interpersonal skills.
- Ability to speak to technical-level staff and summarize communications for business stakeholders and executives.
- Prior experience of managing web, mobile, IoT projects.
- Knowledge of project management tools such as JIRA, Sharepoint, and MS Project.
- Knowledge of Big data, Analytics tools like Power BI, Tableau, SQL Server.
- Knowledge of AS400, Blue Yonder, Azure, or Reporting.
- Experience with cloud technologies and distributed systems is a plus.
- Proven track record of delivering software projects on time and within budget.
- Ability to manage multiple projects in parallel.
- Identify opportunities/gaps to drive new projects, drive discussions with stakeholders to build required collateral to seek funding for new projects.
- Identify opportunities to expand business.
(ref:hirist.tech)
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