Python Job: ML Op's Engineer

About Us
Santos is a global low-cost producer of oil and gas committed to ever-cleaner energy and fuels production with operations across Australia, Papua New Guinea, Timor-Leste and North America.
At Santos, our commitment is to be a global leader in the transition to cleaner energy and clean fuels, by helping the world decarbonise to reach net-zero emissions in an affordable and sustainable way.

With a strong, low-cost base business supplying oil and gas and a clear action plan to develop cleaner energy and clean fuels, Santos remains resilient, value accretive and at the leading edge of the energy transition.

*
About the role*
Are you a data wizard seeking to take your skills to the next level? Join our dynamic team of analytics experts as an ML Engineer at our global headquarters in Adelaide or Brisbane! As the key member of our digital team, you will have the opportunity to shape the future of our digital architecture and pipelines to underpin our digital transformation journey, revolutionising and transforming the way the business operates.

As an experienced data pipeline builder and data wrangler, you will relish the chance to build and optimize machine learning solutions at scale. You will ensure ML algorithms are performing as expected and troubleshoot when required, throughout our ongoing digital transformation.
This is a unique opportunity for a self-directed individual who is comfortable supporting the data needs of multiple teams, systems, technologies, and products. If you're ready for a challenging and rewarding role that will take your career to new heights, apply now!

Key Accountabilities:

• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
• Managing available resources such as systems, data sources, and hardware so that deadlines are met
• Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
• Verifying data quality, and/or ensuring it via data cleaning
• Defining ML model validation strategies
• Defining the pre-processing or feature engineering to be done on a given dataset
• Defining data augmentation pipelines
• Training models and tuning their hyperparameters
• Analysing the errors of the model and designing strategies to overcome them
• Automating deployment and testing of the ML models
• Continuously monitoring and maintaining the ML model in production environment

About you
As the ideal candidate, you will possess a wealth of experience in designing and implementing cloud solutions, as well as the ability to build MLOps pipelines on cloud solutions (AWS in particular). Furthermore, your skills in building CI/CD pipelines orchestration by GitLab CI, GitHub Actions, AWS CodeCommit, AWS CodePipeline, Airflow or similar tools, will be unrivalled. You are a master with data science model reviews, running the code, refactoring and optimisation, containerization, deployment, versioning, and monitoring of its quality, as is a proficiency with data science models testing, validation and tests automation.

You will also be an able and passionate communicator who relishes engaging with a team of data scientists, data engineers and architects, with an ability to document processes accurately and succinctly.

Other Essential skills:

• Ability to select hardware to run high performing ML model with the required latency
• Experience with Docker and Kubernetes, OpenShift, AWS Redshift.
• Programming languages like Python, Apache Spark, SQL and R; good understanding of Linux, knowledge of ML/deep learning frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
• High level of understanding of data governance, privacy, modelling a database design
• Experience working with ML models based on image data, GIS, text data and real time series data
• Experience working with ETL tools such as SAP Bods, SAP SDI, AWS Kinesis, Glue and Data Pipeline

Desired Qualifications:

• Bachelor’s/Master’s degree in Date Science, Computer Science or Software Engineering
• Experience in using AWS, MS Azure or GCP services.
• Good to have any associate Cloud Certification
• Background in Engineering is highly desirable
• Previous working experience with Historian data is a plus

*
Supporting a Diverse Workforce*
Santos acknowledges that we operate on the traditional lands of Aboriginal people. We recognise the traditional rights to maintain the culture, identities, traditions, and customs on their country. We are committed to an inclusive environment where people feel comfortable to be themselves. We want our people to feel that all voices are heard, all cultures respected and that a variety of perspectives are not only welcome – they are essential to our ongoing success.

We treat each other fairly and with dignity regardless of race, gender, nationality, ethnic origin, religion, age, sexual orientation, or anything else that makes us different.

_
Australian Aboriginal and / or Torres Strait Islander jobseekers are strongly encouraged to apply._

*
How to apply*
Applications must be submitted via the online recruitment system before COB 19th February 2023.

*_
A requirement of this role is that you will need to have in place the legal work rights for Australia to apply._*

Job Type: Full-time