Technical Project Manager -AI

Accellor; Hyderabad; On-site; INR 3,000,000 - 4,200,000; Full time

Job summary

Accellor seeks a Project Manager with a strong background in agile methodologies and application development to lead our AI & ML delivery projects in Hyderabad. You will drive end-to-end execution, ensure high software quality, and deliver value to clients.

You will coordinate cross-functional teams, manage SDLC, and oversee delivery across AI, Data Engineering, and Digital Transformation initiatives, balancing scope, budget, and schedule in a fast-paced environment.

Qualifications

• 8–10 years of experience managing complex software projects.
• Proficient in agile methodologies and SDLC.
• Experience with AI/ML lifecycle, NLP, and CV projects.
• Strong communication with technical and exec stakeholders.

Responsibilities

• Lead end-to-end delivery of AI/ML and data engineering projects.
• Coordinate cross-functional teams across AI, data, software, and cloud.
• Gather requirements and create business requirement documents.
• Prioritize projects with Product Managers and Executives.
• Ensure SDLC adherence and on-time delivery.
• Manage RCA for critical incidents.
• Project estimation, planning, and status reporting.

Skills

Agile PM

Cross-functional leadership

Communication skills

Multi-project management

Stakeholder mgmt

MLOps coordination

Tools

JIRA

SharePoint

MS Project

Power BI

Tableau

SQL Server

Azure

MLOps tools

Job description

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.