ML Ops Engineering Lead

8 Minutes ago • 4-7 Years • Research Development

Job Summary

Job Description

Synechron is seeking a highly skilled Machine Learning Platform Engineer to join their technology team supporting a Leading Australian Bank. This role involves designing, developing, deploying, and managing end-to-end machine learning workflows in a scalable cloud environment. The engineer will be instrumental in automating infrastructure, containerizing applications, building CI/CD pipelines, and ensuring the security and reliability of ML systems. The position requires a passion for MLOps, cloud infrastructure, and delivering secure, reliable AI/ML solutions at scale, collaborating with data scientists and product teams.
Must have:
  • 4–7+ years of experience in MLOps, Cloud Engineering, or Machine Learning Engineering.
  • Strong hands-on experience with AWS services: SageMaker, Glue, EC2, Lambda, CloudFormation.
  • Proficiency in Python for automation, ML workflows, and infrastructure scripting.
  • Solid experience with Apache Airflow for workflow orchestration and data pipeline management.
  • Experience in Dockerizing applications and working with containerized environments.
  • Knowledge of CI/CD pipelines using GitHub Actions or similar tools.
  • Understanding of machine learning lifecycle, model deployment strategies, and production monitoring.
  • Familiarity with security best practices, especially in a regulated industry like financial services.
  • Strong collaboration and communication skills.
Good to have:
  • AWS certifications (e.g., AWS Certified Machine Learning – Specialty, Solutions Architect, or DevOps Engineer).
  • Experience working in financial services or within large enterprise environments.
  • Familiarity with model registry, feature stores, and experiment tracking tools (e.g., MLflow, SageMaker Experiments).
  • Exposure to Infrastructure-as-Code tools such as Terraform is a plus.
Perks:
  • Opportunity to work on advanced ML infrastructure and cloud-native solutions with Australia’s leading bank.
  • Access to large-scale real-world ML problems and enterprise-grade tooling.
  • Work with a collaborative and innovative team at the forefront of cloud and AI technologies.
  • Access to ongoing learning, certifications, and development resources through Synechron’s global programs.

Job Details

About the Role

Synechron is seeking a highly skilled Machine Learning Platform Engineer to join our technology team supporting a Leading Australian Bank. You will be instrumental in developing, deploying, and managing end-to-end machine learning workflows in a scalable cloud environment. This role is ideal for professionals who are passionate about ML operations (MLOps), cloud infrastructure, and delivering secure and reliable AI/ML solutions at scale.

Key Responsibilities

  • Design, develop, and manage ML workflows using Amazon SageMaker, AWS Glue, and Apache Airflow.
  • Deploy and monitor scalable applications and ML models on Amazon EC2 and AWS Lambda.
  • Automate infrastructure provisioning and resource management using AWS CloudFormation.
  • Containerize applications using Docker and build robust CI/CD pipelines with GitHub Actions.
  • Collaborate with data scientists, software engineers, and product teams to integrate ML models into production environments seamlessly.
  • Write clean, efficient, and reusable Python code for automation, data processing, and orchestration.
  • Ensure security, scalability, and reliability of all ML systems and cloud-based deployments in compliance with banking standards.
  • Implement monitoring, logging, and alerting to ensure system health and performance.
  • Drive best practices in MLOps, including version control, testing, and reproducibility of ML experiments.

Required Skills and Experience

  • 4–7+ years of experience in MLOps, Cloud Engineering, or Machine Learning Engineering.
  • Strong hands-on experience with AWS services, particularly SageMaker, Glue, EC2, Lambda, and CloudFormation.
  • Proficiency in Python for automation, ML workflows, and infrastructure scripting.
  • Solid experience with Apache Airflow for workflow orchestration and data pipeline management.
  • Experience in Dockerizing applications and working with containerized environments.
  • Knowledge of CI/CD pipelines using GitHub Actions or similar tools.
  • Understanding of machine learning lifecycle, model deployment strategies, and production monitoring.
  • Familiarity with security best practices, especially in a regulated industry like financial services.
  • Strong collaboration and communication skills, with the ability to work effectively across engineering, data, and business teams.

Preferred Qualifications

  • AWS certifications (e.g., AWS Certified Machine Learning – Specialty, Solutions Architect, or DevOps Engineer).
  • Experience working in financial services or within large enterprise environments.
  • Familiarity with model registry, feature stores, and experiment tracking tools (e.g., MLflow, SageMaker Experiments).
  • Exposure to Infrastructure-as-Code tools such as Terraform is a plus.

What We Offer

  • Opportunity to work on advanced ML infrastructure and cloud-native solutions with Australia’s leading bank.
  • Access to large-scale real-world ML problems and enterprise-grade tooling.
  • Work with a collaborative and innovative team at the forefront of cloud and AI technologies.
  • Access to ongoing learning, certifications, and development resources through Synechron’s global programs.

Ready to build the future of AI in banking?

  • Apply today and be a part of cloud and ML transformation journey with Synechron.

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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About The Company

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies spanend-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in ourFinLabswe develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.Over the last20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of14,500+,and has58offices in 21 countrieswithin key global markets.For more information on the company, please visit ourwebsiteorLinkedIncommunity.

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