Machine Learning Engineer

Key responsibilities:

1. Design, develop, and implement machine learning/python models and algorithms for production systems.
2. Build and maintain scalable ML training and inference pipelines.
3. Preprocess and analyze large datasets, including feature engineering and data validation.
4. Deploy machine learning models into production environments and ensure reliable operation.
5. Monitor model performance post-deployment and refine models to maintain accuracy and efficiency.
6. Collaborate with data scientists, software engineers, and other stakeholders to integrate ML solutions into applications.
7. Implement best practices for version control, experiment tracking, and reproducibility.
8. Stay current with new ML/Python tools, techniques, and industry trends to improve workflows and solutions.

Who can apply

Only those candidates can apply who:

1. have 3+ years of experience

Other requirements

1. 3+ Experience writing Python in production systems.

2. Bachelor’s or Master’s in Computer Science, Software Engineering, or a related field.

3. Demonstrable coding proficiency on platforms like LeetCode, HackerRank, Kaggle, etc.

4. Strong command of system design and clean architecture principles.

5. Working knowledge of ML workflows, tools, and best practices.

6. Full-time availability (40 hrs/week) with at least 4 hours overlap with PST timezone.

Job Types: Full-time, Permanent

Pay: ₹1,000,000.00 - ₹1,200,000.00 per year

Benefits:

• Work from home

Work Location: Remote