Technical Lead / Project Manager – Data, AI & MLOps

Company Overview:

Crest Infosystems is a Software Development Services Provider Company with 15 years of experience developing future-ready custom business solutions. We have successfully served 200+ clients across the globe. It could be possible due to our well-experienced team members who have successfully accomplished 700+ projects across the globe. Our workforce has expertise in delivering affordable enterprise solutions in Mobile, Web, Cloud, Big Data, UX/UI, Machine Learning & AI, Digital Marketing, etc.

We are seeking a highly capable Project Manager with a strong background in leading Data and AI/ML projects. The ideal candidate should have extensive experience managing complex data workloads, coordinating cross-functional technical teams, and delivering end-to-end solutions involving data pipelines, machine learning models, and analytics platforms. This role requires close collaboration with data scientists, data engineers, and AI/ML developers. You will be responsible for planning, executing, and delivering AI and data solutions that align with client goals and timelines, while ensuring quality and stakeholder satisfaction.

Key Responsibilities:

• Lead and manage end-to-end Data and AI/ML projects, from initiation through delivery.
• Coordinate with cross-functional teams including data scientists, data engineers, ML developers, QA, and DevOps.
• Engage with clients to gather requirements, set expectations, and provide regular updates.
• Develop and maintain project plans, timelines, and resource allocation.
• Identify project risks and implement effective mitigation strategies.
• Oversee Agile processes, including sprint planning, daily stand-ups, and retrospectives.
• Ensure project deliverables meet quality standards and business objectives.
• Track performance metrics such as model accuracy, data quality, and delivery timelines.
• Facilitate effective communication between technical and non-technical stakeholders.

Required Skills

• 7+ years of total professional experience, with strong exposure to Data, AI, or ML-related projects.
• Proven experience managing teams working on data pipelines, analytics, machine learning, or AI-based solutions.
• Solid understanding of AI/ML workflows and data engineering processes.
• Familiarity with cloud platforms such as AWS, Azure, or GCP, and tools like BigQuery, S3, Redshift, SageMaker, Databricks, etc.
• Conceptual understanding of Python, SQL, Spark, TensorFlow, PyTorch, or similar tools.
• Experience with Agile methodologies and tools like Jira, Confluence, or Trello.
• Strong documentation, communication, and stakeholder management skills.
• Ability to manage multiple projects and teams across time zones and business domains.

Perks & Benefits:

• Competitive Compensation and Benefits
• Friendly Environment
• Work-life Balance
• 5 days working
• Flexible office timings
• Employee-friendly leave policies
• Work from Home (with prior approvals)