
AI Systems Engineer
4 days ago
We are seeking an experienced Machine Learning Engineer to design, build, and deploy ML models that power business-critical solutions.
About the Role- This is a unique opportunity to collaborate with cross-functional teams to deliver scalable ML systems and drive innovation.
- Develop, train, and deploy regression, classification, clustering, and deep learning ML models using Python and popular libraries like scikit-learn, TensorFlow, and PyTorch.
- Design and optimize data pipelines, feature engineering, and training workflows for efficient model development.
- Deploy models to production using containerization tools like Docker and Kubernetes, as well as cloud platforms such as AWS, GCP, or Azure.
- Monitor model performance, retrain, and maintain production-ready systems to ensure optimal results.
- Collaborate with data scientists and engineers to develop APIs and integrate ML solutions with enterprise applications.
- 3+ years of experience in ML engineering or related field.
- Strong proficiency in Python, with knowledge of Java/Scala/R being a plus.
- Expertise in popular ML libraries/frameworks like scikit-learn, TensorFlow, PyTorch, and Keras.
- Familiarity with data tools like Pandas, NumPy, and Spark.
- Experience with ML deployment (SageMaker, Azure ML, GCP AI, TensorFlow Serving, TorchServe).
- Familiarity with databases (SQL, MongoDB, Cassandra) and version control (Git).
- Understanding of DevOps/MLOps practices.
- Excellent problem-solving, communication, and collaboration skills.
- A dynamic and collaborative work environment.
- The opportunity to work on cutting-edge AI projects.
- Professional growth and development opportunities.
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