Lead – Data Science & AI Engineering

ShipDelight Logistics Technologies

Mumbai, IND

Full-time

Entry

Onsite

Discovered 1 weeks ago

Data scienceMachine learningAI engineeringPythonStatistics and probabilityRegression and classification

Free

Job Fit Check

Base Career helps you apply smarter for this job.

Ready to Scan

Key skills for this role

Data scienceMachine learningAI engineering

ShipDelight is building logistics intelligence driven by data, prediction, and recommended action rather than manual intervention.

The role bridges numerical data science, production engineering, MLOps, DevOps, and logistics domain understanding.

The operating model progresses from data and detection through context, reasoning, impact, recommended action, intervention, and closure.

4–5 years of hands-on experience in data science, machine learning, or AI engineering.
Strong Python skills and experience with numerical or tabular datasets.
Strong knowledge of statistics, probability, regression, classification, tree-based models, anomaly detection, forecasting, and scoring systems.
Experience deploying machine learning models into production.
Working knowledge of AWS or cloud infrastructure, Docker, APIs, CI/CD, monitoring, and MLOps.
Ability to understand capacity, latency, scalability, and cost implications of machine learning systems.
Ability to frame unfamiliar operational domains as measurable data science problems.
Comfort working with product managers, engineers, operations teams, and senior management.

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Trusted by over 500,000 job seekers on Base Career