Accellor - Technical Project Manager - AI/ML

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.