Posted Apr 13, 2026
As a Machine Learning Engineer at our company, you will play a crucial role in developing and deploying scalable ML solutions. Your responsibilities will span the entire ML lifecycle, from model development to deployment, monitoring, and optimization. Key Responsibilities:
Qualifications Required:
Strong experience in Python and SQL
Hands-on experience with Machine Learning & MLOps
Experience with MLflow / model registry tools
Good knowledge of Apache Spark / DataFrames
Experience in CI/CD tools such as Azure DevOps or GitHub Actions
Hands-on experience with Docker (Knowledge of Kubernetes is a plus)
Cloud experience in Microsoft Azure
Experience in model deployment & monitoring Additionally, it would be beneficial if you have:
Knowledge of TensorFlow / PyTorch
Understanding of Deep Learning concepts
Experience in feature engineering & model evaluation
Exposure to Databricks Join our team and contribute to building cutting-edge ML solutions while collaborating with talented professionals across different domains. As a Machine Learning Engineer at our company, you will play a crucial role in developing and deploying scalable ML solutions. Your responsibilities will span the entire ML lifecycle, from model development to deployment, monitoring, and optimization. Key Responsibilities:
Develop, deploy, and maintain machine learning models in production
Build and manage ML pipelines for training, batch, and real-time inference
Convert Data Science models into production-ready solutions
Implement feature engineering pipelines and feature stores
Work on model deployment using Docker, APIs, or cloud services
Monitor model performance including data drift, accuracy, and degradation
Implement CI/CD pipelines for ML workflows
Collaborate effectively with Data Engineers, Data Scientists, and DevOps teams
Qualifications Required:
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