Machine Learning Engineer

Synechron is hiring ML Engineers.

• Sydney
• Contract - 6 months + extendable
• Excellent Communication
• Hybrid - 3 days work from office is mandatory

Skills Required:

Key Responsibilities:

• Design, develop, and maintain robust ETL pipelines using AWS services such as Glue, Lambda, Step Functions, S3, Athena, Redshift, and EMR.
• Leverage DHP for secure, scalable, and compliant data hosting and management.
• Collaborate with data scientists to operationalize ML models and integrate them into production data pipelines.
• Solid understanding of ML lifecycle, including data preparation, model training, deployment, and monitoring.
• Familiarity with ML model deployment and integration (e.g., using SageMaker, MLflow, or custom APIs)
• Implement and maintain CI/CD pipelines for automated deployment and testing of data workflows.
• Experience with infrastructure-as-code tools (e.g., Terraform or CloudFormation).
• Optimize data workflows for performance, scalability, and cost-efficiency in the cloud.
• Implement data quality checks, monitoring, and alerting mechanisms.
• Work with structured and unstructured data from various sources including APIs, databases, and streaming platforms.
• Ensure compliance with data governance, privacy, and security standards.
• Participate in code reviews, architecture discussions, and agile ceremonies.

Preferred Qualifications:

• AWS Certification (e.g., AWS Certified Data Analytics – Specialty, Machine Learning – Specialty).
• Experience with Apache Spark, Airflow, or other orchestration tools.
• Exposure to MLOps practices and tools for scalable ML operations.
• Familiarity with data cataloging, metadata management, and data lineage tools.

Interested candidates EASY APPLY!