
Technical Project Manager- AI
3 days ago
Job Purpose:
Lead the planning, execution, and delivery of complex data engineering and Gen AI projects. Define project scope, goals, and deliverables in collaboration with stakeholders.
Who You Are:
- Project Leadership: Lead the planning, execution, and delivery of complex data engineering and Gen AI projects. Define project scope, goals, and deliverables in collaboration with stakeholders.
- Technical Management: Manage project teams, including data scientists, data engineers, and developers. Act as a bridge between technical teams and business stakeholders, translating business needs into technical requirements.
- Risk & Resource Management: Identify and mitigate project risks. Allocate and manage project resources (personnel, budget, and technology) effectively to ensure timely delivery.
- Stakeholder Communication: Maintain clear and consistent communication with all stakeholders, providing regular updates on project progress, risks, and milestones.
- Process Improvement: Continuously evaluate and improve project management processes and tools to enhance efficiency and productivity.
- Work closely with the project team in completing projects.
What will excite us:
- Cloud Platforms: Expertise in eitherAWS or Azureservices relevant to data and AI, such as:
- AWS: S3, Redshift, Glue, SageMaker, EMR, Lambda, EC2, etc.
- Azure: Azure Data Lake Storage, Azure Synapse Analytics, Azure Databricks, Azure Machine Learning, Azure Functions, etc.
- Data & AI Concepts: Strong understanding of data engineering principles (ETL/ELT pipelines, data warehousing, data lakes) and machine learning concepts, especially in the context ofGenerative AImodels (e.g., LLMs, GANs).
- Development Background: Prior experience as a software developer, data engineer, or data scientist is essential. Proficiency in a programming language likePythonand familiarity withSQLand big data technologies (e.g., Spark).
Project Management Skills:
- Methodologies: Proven experience with Agile methodologies (Scrum, Kanban) and a solid grasp of waterfall or hybrid approaches.
- Tools: Proficiency with project management software like Jira, Asana, Trello, or similar tools.
- Leadership: Excellent leadership, communication, and interpersonal skills. Must be able to motivate teams, resolve conflicts, and drive projects to successful completion.
- Problem-Solving: Strong analytical and problem-solving skills with the ability to navigate technical challenges and propose effective solutions.
Location: Ahmedabad
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