? We’re Hiring | Machine Learning Engineers – ML I & ML II

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Location:
Bangalore

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Work Mode:
Hybrid

We’re looking for
Machine Learning Engineers
to join our team and build
production-grade ML systems
powering real-time personalization, recommendation, and ranking experiences at scale.

? Machine Learning Engineer I | ML I

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Experience:
3–5 Years

What we’re looking for:
- Strong fundamentals in
Machine Learning, Statistics, Probability & Linear Algebra
- Hands-on experience with
Regression, Classification, Clustering, Recommendation & Time Series
- Strong
Python
with production-ready coding experience
- Strong
SQL
– CTEs, Window Functions, Conditional Aggregation & Analytical Queries
- Experience with
Feature Engineering, Model Evaluation & Validation
- Knowledge of
AUC, NDCG, Precision/Recall & F1
- Experience deploying ML models into production
- Understanding of
Model Monitoring, Observability, Logging & Debugging
- Exposure to
Airflow, Prefect or similar orchestration tools
- Exposure to
Cloud & MLOps
- Understanding of
ETL,



Data Pipelines & Medallion Architecture

⭐
Good to Have:
- Feature Stores & Online/Offline Feature Serving
- Real-time model serving & latency-sensitive inference
- Databricks / Snowflake
- Retail domain experience
- Personalization / Recommendation Systems

? Machine Learning Engineer II | ML II

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Experience:
5–7 Years

What we’re looking for:
- Solid expertise across the
end-to-end ML lifecycle
- Experience building
scalable, production-grade ML pipelines and systems
serving real users at scale
- Strong understanding of
Model Observability, Drift Detection, Retraining Strategies & Performance Optimization
- Strong
Python
with data manipulation and algorithm-solving skills
- Strong
SQL
– Window Functions, Self-Joins, Conditional Aggregation, Date Arithmetic & Performance Optimization
- Strong understanding of
ETL, Data Engineering & Medallion Architecture
- Hands-on experience with
MLOps, MLflow, GitLab CI/CD or similar
- Experience

📌 Machine Learning Engineer (Bengaluru)
🏢 Recruise India Consulting
📍 Bengaluru