Machine Learning Engineer - Python Programming

Job Description :

Title : Machine Learning Engineer (Python)

Experience : 6 -10 Years

Location : Bangalore

Job Summary :

We are looking for a highly skilled Machine Learning Engineer with strong Python programming expertise and hands-on ML experience. The ideal candidate should have a strong background in software engineering principles and machine learning development, with the ability to design, build, deploy, and maintain scalable AI-powered applications.

This role requires strong expertise in Python, machine learning frameworks, and the end-to-end ML lifecycle, including data processing, model development, deployment, and monitoring.

Key Responsibilities :

Python Development :

- Develop clean, efficient, and well-documented Python code following Object-Oriented Programming (OOP) principles.

- Work with ML libraries such as TensorFlow, PyTorch, and Scikit-learn.

- Build scalable solutions across the entire ML pipeline, from data ingestion to deployment.

Machine Learning Development

- Design, develop, and deploy machine learning models into production environments.

- Implement intelligent systems that are scalable, robust, and performance optimized.

- Perform model evaluation, tuning, and performance optimization.

Software Design & Architecture :

- Apply strong software engineering practices to develop modular and maintainable ML pipelines.

- Design APIs and services supporting ML applications.

- Contribute to architectural decisions for ML platforms and applications.

Data Engineering for ML :

- Build data pipelines for feature engineering, data transformation, and model training.

- Work with large datasets and maintain data versioning strategies.

MLOps & Production Deployment :

- Implement CI/CD pipelines for machine learning models.

- Manage model monitoring, performance tracking, drift detection, and bias monitoring.

- Ensure models are scalable, reliable, and production-ready.

Performance & Scalability :

- Identify and resolve performance bottlenecks in ML systems.

- Ensure deployed models perform efficiently under high workloads.

Documentation :

- Maintain clear documentation for ML models, pipelines, APIs, and deployment processes.

Required Qualifications :

Education :

- Master's Degree in Computer Science, Machine Learning, Data Science, Electrical Engineering, or related field.

Experience :

- 6 - 10 years of professional experience in Machine Learning Engineering, Software Engineering with ML focus, or similar roles.

Mandatory Technical Skills :

- Expert-level Python programming

- Strong knowledge of Object-Oriented Programming (OOP)

Experience with machine learning frameworks :

- PyTorch

- Scikit-learn

- TensorFlow (optional but preferred)

- Strong understanding of ML algorithms and model evaluation techniques

- Experience with feature engineering and hyperparameter tuning

Data Handling :

- Experience working with SQL and NoSQL databases

- Knowledge of data warehousing concepts

- Experience processing large datasets

- Core Software Engineering Skills

Strong understanding of :

- Data structures

- Algorithms

- Software design patterns

- Distributed systems

Soft Skills :

- Strong analytical and problem-solving ability

- Excellent communication skills to explain complex technical concepts