Machine Learning Engineer

Overview

Qualifications:

Experience: Proven experience in training, deploying, and maintaining ML models in production.

• Proficiency in ML libraries and frameworks (e.g., TensorFlow, PyTorch,
• Scikit-learn etc.)
• Experience with cloud platforms like AWS, Azure, or GCP, especially for ML

workloads.

• Knowledge of data preprocessing, feature engineering, data warehousing (ie.

Redshift) and ETL pipelines.Sagemaker) would be a plus.optimization.

• Familiarity with MLOps tools and practices (e.g., Docker, Kubernetes, MLflow,
• Strong understanding of statistical methods, algorithms, and performance
• Experience in the fintech domain is a plus.Skills:

• Proficiency in SQL for data analysis and manipulation.
• Strong problem-solving and analytical thinking skills.
• Familiarity with AWS services (S3, Redshift, SageMaker, Lambda, etc.) is an

• Familiarity with A/B testing and experimentation frameworks.Must have

• TensorFlow, PyTorch, Scikit-learn
• (Docker, Kubernetes, MLflow)
• AWS services, SQL and ETL pipeline

Job Type: Full-time

Pay: ₹1,200,000.00 - ₹2,000,000.00 per year

Work Location: In person

Application Deadline: 08/03/2025