Job Description

Job Description:

- Expected Around 10+ - 12YrsAs a Project Manager, you will be responsible for planning, organizing, and executing data-led technology projects for automation (Generative AI/AI/ML/NLP/Computer Vision).
- You will work across data science, engineering, sales teams, and domain experts throughout the lifecycle of projects: from proposal to closure.

Your key responsibilities include:.

- Working with business customers to identify new opportunities with Automation, AI/ML, NLP, Computer Vision, etc. that aligns with department goal.
- Lead and grow the team on Data scientists and AI engineers. Provide tactical leadership and manage AI/ML teams with diverse talents and responsibilities..
- Manages and leads team, communicates goals and objectives, provides iterative feedback and monitors performance of team members..
- Contributes to the growth of the organization in acquiring new customers, hiring, training, and mentoring teams for growth and competency development..
- Manage the continuous improvement of data science and machine learning led initiatives by following industry best practices and staying up to date with and extending the state-of-the-art in data science research..
- Lead teams building new assets and products by supporting the team and assisting to clear QG stages.
- Organizing programs and activities in accordance with the mission and goals of the department and the organization..
- Developing new programs to support the strategic direction of the department. Identify cross-team dependencies to incorporate them into the program planning process..
- Developing a budget, operating plan for the program, evaluation method to assess program strengths and identify areas for improvement..
- Managing schedule, planning, audit, PSR, PQSR,



Management review meeting for projects that are being handled.
- Writing funding proposals to guarantee uninterrupted delivery of services..
- Ensuring project goals are met in areas including customer satisfaction, safety, quality, and team member performance..
- Meeting with stakeholders to make communication easy and transparent regarding project issues and decisions on services to senior management and cross-functional stakeholders.
- Producing accurate and timely reporting of project status throughout its life cycle. Anticipating risks and mitigation plans.

Requirements:.

- 10+ years of experience in software development lifecycle, 5+ years of experience on AI/ML delivery management.
- Prior experience with accessibility solutions and their technical aspects is a plus..
- An ability to identify customer needs and translate them into technical and product requirements is a must.. You need to have a customer-first mindset to determine what the customer wants, how they want it, and in what capacity..
- Prior experience in planning and conducting usability studies among various groups of customers is a preference.
- Experience in conducting usability studies based on accessibility solutions is a plus..
- Willingness to keep up to date w.r.t. new AI/ML and other niche technologies..
- Research mindset to understand upcoming trends and technologies and challenge the status quo..
- Proven experience delivering solutions to customers and managing teams..
- Excellent communication and interpersonal skills.
- A good understanding of business administration and management.
- Experience with SDLC methodologies such as Agile, Waterfall, Secure etc..
- Domain expertise in mobility, healthcare, industry 4.0 would be a bonus.

Qualifications

BE,BTechor MCA

Additional Information

10+ - 12Yrs

📌 Technical Project Manager-AI (India)
🏢 Robert Bosch
📍 India