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:
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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.
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Actively participate in requirement gathering and requirement analysis process and create business requirement documents to drive clarity.
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Work with Product Managers & Executives to prioritize projects across the organization based on company goals and objectives.
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Exhibit a solid understanding of application of Software Development Life Cycle (SDLC) methodology, including requirements definition, stakeholder feedback, development, and deployment.
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Lead a cross-functional team in a matrixed organization for successful, on-time delivery.
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Think out-of-the-box in optimizing delivery practices, resources, and key performance factors to ensure successful delivery.
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Provide expert knowledge of Agile, Kanban, Waterfall, and iterative project management methodologies.
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Understanding of latest cloud computing and data technologies, business drivers, emerging computing trends, and deployment options.
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Deep understanding of Application, Infrastructure and security architecture and non-functional aspects like Performance, Scalability, Reliability and Availability.
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Preparing, planning, executing, monitoring, controlling, and closing the project or sub project according to contractual scope and commitment against project budget.
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Own and manage the Root Cause Analysis (RCA) activities for all Critical Incidents, ensuring all corrective and preventive actions are progressed towards permanent resolution.
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Project Estimation, Planning, Monitoring and Status Reporting.
Requirements
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Total 8-10 years of experience managing complex software development projects using Agile methodologies.
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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.
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Strong communication and interpersonal skills. Ability to speak to technical-level staff and summarize communications for business stakeholders and executives.
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Prior experience of managing web, mobile, IoT projects.
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Knowledge of project management tools such as JIRA, Sharepoint, and MS Project
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Knowledge of Big data, Analytics tools like Power BI, Tableau, SQl Server
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Knowledge of AS400, Blue Yonder, Azure, or Reporting
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Experience with cloud technologies and distributed systems is a plus.
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Proven track record of delivering software projects on time and within budget.
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Ability to manage multiple projects in parallel
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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.
Benefits
Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.
Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global canters.
Work-Life Balance: Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.
Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill trainings.
Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.
