ML Engineers

Required Skills:

• Proficiency in JAX for numerical computing and machine learning

• Hands-on experience with Apache Iceberg for data lake management.

• Advanced knowledge of Apache Spark for big data processing.

• Proficiency in Python and SQL.

• Experience with ML frameworks (e.g., TensorFlow, PyTorch).

• Strong understanding of data pipelines, ETL processes, and distributed computing.

• Experience with cloud platforms (e.g., AWS, GCP, Azure).

Preferred Skills:

• Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow).

• Experience with containerization and orchestration (e.g., Docker, Kubernetes).

• Knowledge of data versioning and governance using Iceberg.

• Strong problem-solving skills and the ability to troubleshoot performance issues.

Education and Experience:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

• 3+ years of experience as a Machine Learning Engineer or in a similar role.

• Proven track record of deploying scalable ML solutions in production environments