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Technical Project Manager

Accellor
Bengaluru, IND
Full-time
Senior · 8+ years experience
Hybrid
Discovered 3 weeks ago
JIRATableauAS400Blue YonderMLOps
Free

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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.

Requirements

  • 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.

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.

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