Data & AI Engineer

Role Scope

Drive the design and delivery of end-to-end data, AI/ML, and cloud-based solutions to support strategic goals. Build and scale data platforms, pipelines, and analytics systems for large, complex datasets. Collaborate with stakeholders to translate business needs into innovative, data-driven solutions. Own project execution across the lifecycle, combining engineering, analytics, and product thinking.

Key Responsibilities

• Design, build, and manage data, AI/ML, and cloud solutions end-to-end
• Develop scalable ETL pipelines and integrate structured/unstructured data
• Own data platforms (data lakes, analytics, AI platforms) using Agile methods
• Collaborate with stakeholders to deliver data-driven solutions and innovations

Requirements

• Experience in data analytics, AI/ML, and cloud technologies
• Strong skills in data engineering, ML techniques, and programming (Python, R, Java, etc.)
• Solid understanding of big data platforms, ETL processes, and system design
• Strong problem-solving, communication, and stakeholder management skills
• Adaptable, independent, and effective in fast-paced, team environments

If interested, you can click on “Apply here” or write an e-mail to ***email_hidden*** with your updated resume.

NOTE: - Only shortlisted candidates will be contacted back.

Thanks & Regards

Deeksha Agarwal

EA Licence No.91C2918

Personnel Registration No. R26161520