AI/ML Engineer
1 hour ago
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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