Offshore ML Engineer (Supply Chain Enablement)

Machine Learning Engineer

Location: Remote (India) Employment Type: Full-Time with Insight Global Shift: Monday–Friday, 40 hours/week (must overlap with core EST business EST hours: 9:00 AM – 12:00 PM EST) Compensation: 10–20+ LPA (Exact compensation will depend on skills, experience, certifications, and education)

Insight Global is seeking a Machine Learning Engineer to support a large-scale, enterprise retail organization as part of a growing global data and analytics team. This role will focus on building and deploying transportation and delivery optimization models within a cloud-native GCP environment. You will work across the full ML lifecycle—from data discovery through production deployment—helping translate business challenges into scalable machine learning solutions.

Key Responsibilities

• Lead data discovery and exploration efforts for transportation and delivery modeling initiatives
• Develop a deep understanding of business processes and operational workflows
• Design and implement end-to-end, production-grade machine learning pipelines, including:
• Data ingestion and transformation
• Feature engineering and selection
• Experiment design and model development
• Model training, testing, and evaluation
• Translate exploratory work and prototype models into scalable, automated pipelines (not notebook-only solutions)
• Build and optimize models (primarily using XGBoost) for logistics and transportation use cases
• Develop scalable data pipelines using Dataform and BigQuery
• Deploy, orchestrate, and manage ML workflows using Kubeflow
• Deploy and monitor models using Google Vertex AI
• Ensure solutions are production-ready, reliable, and maintainable, including monitoring, versioning, and retraining strategies

Who We Hire

• Technical Excellence & Problem Solving: We are focused on hiring strong engineers who can translate complex business problems into scalable technical solutions.
• Ownership & Execution: This role requires individuals who take ownership of their work from initial exploration through production deployment.
• Curiosity & Continuous Learning: The best candidates are those who are naturally curious and eager to learn.
• Team: Together, anything is possible. IG employees must want to be part of a team and work well with others.
• Culture: Of everything, our culture is most important, and our Shared Values define us: Everyone Matters, We Take Care of Each Other, Leadership is Here to Serve, High Character & Hard Work Above All Else & Always Know Where You Stand.

Benefits & Perks

Benefit packages for this role will start on the 1st day of employment and include comprehensive health insurance coverage, along with applicable statutory benefits such as provident fund (PF) and gratuity where required. Employees in this role are also entitled to paid time off, company holidays, and parental leave, in accordance with company policy and local regulations. Additional benefits may include performance-based incentives, learning and development support, and participation in employee engagement programs.

Why Join Us

• Opportunity to support a globally recognized retail enterprise with complex, high-impact data challenges
• Work on real-world supply chain and logistics optimization problems at scale
• Collaborate with cross-functional teams across data, engineering, and business domains
• Be part of Insight Global's growing Global Delivery Center in India, with exposure to international clients and cutting-edge technology

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.