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Identification & implementation of modern Product/Project management approaches for complex software-intensive projects.
Education from premier institute at masters level
Work with teams at both the Program level and solution level to assist in developing strategic themes creating program vision and prioritizing the program backlog.
Interacting with the Platform team or across multiple application teams and with Program leads daily to perform functional and technical requirements analysis documentation and validation for new and existing ML applications and Infrastructure development.
Provide day-to-day support to cultivate and improve all team members to become productive Agile Practitioners.
Create new or update existing user stories acceptance criteria wireframes and other supporting documentation.
Work closely with the Program lead Interpret requirements ideas and converts to program deliverables.
Ensures effective communication between technical and non-technical functions.
Keep the project management team informed of key issues and changes which may impact expected business results.
Contribute to research efforts in Machine Learning to enable development of new state-of-the-art algorithms and ML infrastructure.
Contribute to the integration of algorithms within larger programmatic systems that require these capabilities.
Assist in representing the organization by providing input on technical issues for specific projects including preparing and presenting technical reports.
Working with teams enabling state of the art technologies in AI/ ML in Drug discovery R&D Safety Supply chain Digital Health
Research develop and apply solutions to moderately complex Machine Learning problems of programmatic interest.
Guide scrum-team through all sprints of a program increment removing impediments and championing the team.
Update agile tracking systems to provide transparency on program and sprint backlogs.
Assist with internal and external communication.
Promote a collaborative team environment that fosters experimentation creativity and innovation.
Qualifications:
3-8 years of experience in Product Management Business Analysis including aspects of business process and requirements elicitation and documentation.
Masters degree for IIMs
Experience with GenAI applications
Experience working within Cloud SaaS AI/ML applications will be an added advantage.
Experience working in the domain area of ML MLOPS ML Infrastructure.
Experience working with Cloud Technologies including AWS or Azure
Experience working in a SAFe environment with tools like Jira and Confluence
Experience coordinating multi-disciplinary technical teams to develop requirements and design documentation.
Experience writing software development requirements including Waterfall SDLC and Agile
Experience with analyzing disparate systems to identify gaps and potential impacts.
Experience in conducting experiments training and validating new state-of-the-art Machine Learning algorithms & infrastructure for pharmaceutical domains.
Pharmaceutical domain experience preferred.
A good leader who can communicate the project plans and status of projects effectively.
A self-motivated person who can work calmly under pressure and meet deadlines.
Excellent problem-solving organizational analytical and influencing skills with proven ability to take initiatives.
Full-time