Job Title

Machine Learning Engineer

Department

AI Data Science

Role Summary

We are seeking a highly skilled Machine Learning Engineer with a robust MLOps background to join our team. You will play a pivotal role in building and scaling our machine learning models from development to production. Your expertise in both machine learning and operations will be essential in creating effective and reliable ML pipelines.

Roles Responsibilities
Collaborate with data scientists to develop, train, and evaluate machine learning models.
Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.
Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.
Implement DevOps/ MLOps best practices to automate ML workflows and improve efficiency.
Develop and implement monitoring systems to track model performance and identify issues.
Conduct A/B testing and experimentation to optimize model performance.




Work closely with data scientists, engineers, and product teams to deliver ML solutions.
Stay updated with the latest trends and advancements

Must-Have Skills
Solid foundation in machine learning algorithms and techniques
Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)

Positive-to-Have Skills
Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processing
Experience with data engineering and pipeline development
Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
Knowledge of NLP techniques for text analysis and sentiment analysis

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