About the job
We are looking for a hands on Data Engineer / AI Developer who can rapidly build AI enabled applications, automate workflows, and deliver solutions end to end using modern SDLC practices.
Responsibilities
Build lightweight data & AI applications (dashboards, APIs, copilots, automations, PoCs)
Develop data pipelines, feature flows, and AI integrations (batch & near-real-time)
Implement automation and workflows across systems (APIs, event-driven, scheduled jobs)
Apply SDLC best practices: version control, CI/CD, testing, documentation
Collaborate with business and product teams to translate ideas into working solutions
Package solutions for reusability and scale (modular code, templates, configs)
Stay current with new techniques, tools, and frameworks in data science and AI
Qualifications
Minimum
5-7 years of experience in data science, machine learning, or applied statistics
Hands on experience in application development and workflows.
Proficient in Python (e.g., scikit-learn, pandas), SQL, and ML frameworks
Familiarity with cloud services for data (e.g., Databricks, Azure Data Factory)
Experience working with cloud-based ML environments (AWS Sagemaker, Azure ML, etc.)
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field
B.E/B.Tech/MCA or equivalent qualification
Preferred
No preferred qualifications listed.