Company

Eml GroupSee more

addressAddressSydney, NSW
type Form of workFull time
CategoryMechanical

Job description

EML is a leading Workers Compensation and Personal Injury Claims Management business. Our goal is to help people get their lives back through ongoing support during their return-to-work journey. We continue to experience ongoing growth and now have over 4,000 dedicated employees. We foster a learning culture that allows for us to continually invest in our employees ensuring a long-term career here at EML.

THE OPPORTUNITY

As part of our diverse team based in Sydney, you will help make a positive impact on someone's life every day. You will feel great satisfaction knowing your talent and hard work has a purpose.

As part of our newly created AI team, the Machine Learning (AWS) Engineer role will implement and maintain the training/fintune/distillation/deployment pipelines for NLP, CV & Audio models in a cloud environment.

This will be a full time, permanent position based in the Sydney office, with flexibility to work from home up to 3 days per week.

YOUR RESPONSIBILITIES

  • Implement and maintain the training/fintune/distillation/deployment pipelines for NLP/CV/Audio models in a cloud environment, particularly AWS.
  • Prepare, QC, maintain the AI dataset.
  • Help AI engineers develop, design and optimize state-of-the-art models utilizing LLM/CV techniques.

ABOUT YOU

  • Full Australian working rights without restriction
  • 5+ years of industry/research experience is necessary, with a focus Deep Learning MLOps Engineering.
  • A degree in Computer Science and Artificial Intelligence.
  • Expert Experience with cloud platforms, specifically AWS, and deploying NLP models in a cloud environment.
  • Solid understand of AWS basics such as IAM, VPC, subnet, security groups, EC2, load balancer, S3, AWS SDK etc.
  • Hands on experience in SageMaker, especially in AI model deployment and inference
  • Experience in CloudFormation, Terraform & CDK
  • Knowledge in CI/CD such as GitHub actions, AWS CodePipeline
  • Ability to self-learn new AWS services when required
  • Knowledge of container (i.e. Docker and Podman), Cloud System monitoring and maintenance
  • Solid proficiency in various programming languages and platforms however excellent knowledge of Linux is a must.

WHAT WE OFFER

We stand together as equals. EML is an equal opportunity employer so by coming to work for us, you will be part of a culture that celebrates diversity and inclusion. We are committed to maintaining a workplace where everyone feels valued and where we show respect, integrity and honesty.

EML provides career opportunities and great employee benefits, including:

* A vibrant, collaborative innovative team culture
* Flexibility with opportunity to WFH when you are fully trained in your role.
* A corporate wellbeing program with discounted health insurance and gym membership
* Access to discounts at over 350 retailers through our Rewards Hub program
* Entitlement to an annual tenure and performance-based recognition reward
* Comprehensive learning and development support
* Companywide events to celebrate success.
* Quarterly Reward and Recognition Awards
* Up to 16 weeks paid parental leave, plus super


We value our people and are committed to supporting our employees by investing in their professional development and providing generous employee benefits. If this position is of interest to you, please apply now.

Refer code: 1643933. Eml Group - The previous day - 2024-03-04 20:08

Eml Group

Sydney, NSW
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