AI/ML Engineer

1 week ago

Jaipur, Rajasthan, India SourcingXPress Full time

Company:
Maynor Consulting

Website:
Visit Website

Business Type:
Small/Medium Business

Company Type:
Product

Business Model:
B2B2C

Funding Stage:
Series A

Industry:
Ecommerce

Salary Range:
₹ 15-40 Lacs PA

Job Description
This is a permanent role with Series A funded startup in e-commerce domain - A valued client of Maynor Consulting.
Role
Build real-time AI for next-gen retail automation

is building AI-powered systems for convenience stores and fuel stations, enabling faster self-checkout, personalized offers, persistent carts, real-time assistance, and in-store recommendations. We operate at the intersection of
AI + retail + automation + high-performance backend systems
.

We're looking for an
AI/ML Engineer
who can take ML models
from data → training → deployment → monitoring
in a real-world retail environment.

What You'll Do (Core Responsibilities)

  • Build & integrate AI/ML models
  • Recommendation engines, personalized offers & upsell models
  • Customer behavior prediction & fraud detection
  • Demand forecasting and inventory intelligence
  • Checkout optimization & real-time inference models
  • Work with multi-source retail data
  • Clean, transform, and preprocess transaction logs, sales data, customer history, inventory data, and sensor streams
  • Create robust features and training pipelines for production workloads
  • Deploy ML models into production
  • Convert ML models into APIs/microservices
  • Integrate with POS, checkout systems, and backend infra
  • Ensure low latency, high reliability, and scalability
  • Maintain & monitor AI systems
  • Track model performance and data drift
  • Retrain, version, and optimize models
  • Ensure uptime for systems tied to checkout, payments, and recommendations
  • Work cross-functionally
  • Collaborate with product, backend, data engineering, DevOps, and store-ops teams
  • Translate retail/business needs into AI solutions
  • Prototype, iterate, and deploy solutions end-to-end
  • (Optional but valuable) Research & improvement
  • Experiment with new ML techniques
  • Optimize architectures for recommendations, forecasting, and personalization

Technical Skills
What We're Looking For (Skills & Requirements)

  • Strong Python skills (NumPy, Pandas, PyTorch/TensorFlow)
  • Solid understanding of ML fundamentals (statistics, probability, linear algebra)
  • Hands-on experience with supervised/unsupervised learning
  • Track record of building & deploying ML models in production

Experience With

  • APIs/microservices (FastAPI/Flask)
  • MLOps (Docker, CI/CD, monitoring)
  • Data pipelines & large datasets
  • Databases or streaming data systems

Nice to Have

  • Experience with real-time systems or low-latency inference
  • Knowledge of recommendation systems or demand forecasting
  • Retail/e-commerce/fintech ML experience
  • Exposure to computer vision or sensor data

Experience

  • 2+ years of hands-on ML/AI engineering

Education

  • B.E./B.Tech or higher in Computer Science, IT, Data Science, or related fields
  • Premier college background preferred, not mandatory

Who Will Succeed In This Role

  • Someone who loves building real products, not just experimental notebooks
  • Ownership mindset — you care about reliability in real-time scenarios
  • Enjoys working at the intersection of AI + backend + product
  • Strong communicator who works well across teams

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