Location:
Bangalore (2 days/office)

Experience:
8+ Years

Employment Type:
Contract

Role Overview
We are looking for an expert-level
Machine Learning Engineer
with strong hands-on expertise in
Python
to design, build, deploy, and optimize production-grade ML systems. The ideal candidate should combine deep ML knowledge with solid software engineering, system design, and MLOps capabilities.

Mandatory Skills
8+ years of skilled experience in Machine Learning / ML Engineering.
Expert-level Python programming skills.
Solid understanding of Machine Learning algorithms, statistics, model evaluation, and feature engineering.
Hands-on experience with scikit-learn, Pandas, NumPy, and ML frameworks such as PyTorch or TensorFlow.
Strong experience building production-grade ML pipelines and inference systems.
Solid understanding of MLOps, model deployment, monitoring, and lifecycle management.
Strong knowledge of data structures, algorithms, software engineering, and system design.
Experience working with SQL and large-scale datasets.





Key Responsibilities
Design, develop, and optimize machine learning models and production ML systems using Python.
Own the end-to-end ML lifecycle including data preparation, feature engineering, model

development, evaluation, deployment, and monitoring
.
Build scalable ML pipelines and inference services for production environments.
Apply appropriate ML, statistical, and optimization techniques to solve complex business problems.
Improve model accuracy, latency, scalability, and reliability through experimentation and

performance optimization.
Collaborate with Data Scientists, Data Engineers, Software Engineers, and Product teams to

productionize ML solutions.
Implement MLOps practices including model versioning, experiment tracking, CI/CD, monitoring, and automated deployment.
Review technical designs and code, establish engineering best practices, and mentor other engineers.

Good-to-Have Skills
E

📌 Machine Learning Engineer Bengaluru
🏢 Deservely Technologies
📍 Bengaluru