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ML Ops Engineer

Help our Engineering and Data Science teams build, automate and operate of our platform, apps and data science models

Posted on:
7
September 2022
Closing date: 
7
October 2022
Job title:           ML Ops Engineer
Reporting to: DevOps Lead
Salary:               A market competitive package                                 including participation in The Yield’s employee                                 share options plan
Hours:                Permanent Full Time
Location:        Sydney, Melbourne, Canberra, Brisbane, Adelaide                                with hybrid working available

About us

The Yield is hiring! Come join us as we change the face of agtech and help feed the world and care for the planet.

We’re an agricultural technology company on a mission to transform food and farming practices with scalable digital technology.

We use real time data and AI to power our technology to solve real challenges at farm level and throughout the food chain.

We help commercial growers, input providers and marketers make faster, more informed decisions that impact yield and reduce risk. We do this by providing an integrated set of agtech solutions that sense, analyse and predict on-farm growing conditions, and then deliver information in a usable, insightful format.

The Yield technology combines hardware, data analytics and user-friendly apps. Our agtech solutions can be applied across the food chain to help customers to drive profits and sustainability, scale faster and reduce risk. We help our customers to #growbetter.

We are on the brink of global stardom! We are growing our team and expanding our presence globally. This year we commenced our launch into overseas markets with our Founder and CEO, Ros Harvey, spending much of her time in the US developing customer and investor networks and building our US team.

Our Vision

Our vision is to help feed the world and care for the planet. We plan to do this through sustainable food production with AI-driven decision making on farm and along the supply chain adjusting in real time for weather. We aim to be the essential data and AI platform for large corporate growers in speciality crops globally.

The world needs to produce 60% more food by 2050 to feed the planet at a time of unprecedented resource constraints. We aim to be a global leader in intelligent solutions in the food industry.

The Yield has a highly-focused team combining leading engineers, data scientists, agriculturists and technologists.

We partner with some of the global giants of technology services like Bosch, Yamaha Motor Company and Microsoft. We have a deep commitment to open innovation, collaboration, and diversity. A core value is that we work with the best and share the rewards.

Our Founder and Managing Director has spent her life promoting inclusion and diversity at work. Our business is committed to creating the right culture, systems and flexibility for everyone regardless of gender, race, ethnicity, disability or sexual orientation to thrive and reach their full potential. We were awarded the Australian Information Industry Association (AIIA) inaugural #TechDiversity award in 2016 in recognition of our achievements. Check out our videos on our corporate values.

Role

We’re looking for a ML Ops Engineer that can help our Engineering and Data Science teams build, automate and operate our platform, apps and data science models.

You will help to deliver amazing new features and take our product to the next level. You will be a part of a highly creative, agile, human centred team who values your happiness, growth and personal development.

You’ll be a self-starter and highly motivated thinker who loves to learn new things and enjoys when no two days are the same. We are seeking someone who is passionate and eager to learn and develop their skills in the ever-evolving Machine Learning & DevOps space.

The role involves working in a rapidly growing engineering team, assisting in the development and continuous improvement of our ML release pipeline and infrastructure. You’ll be working closely with our data science and engineering teams to deploy and manage machine learning workloads in an efficient and scalable manner. You’ll help shape the team’s focus on ML Ops awareness with respect to deployment processes and operational monitoring and alerting.

You’ll gain exposure to many different technologies in this role while being mentored by some talented engineers that allow you time to develop and evolve in this position.

Responsibilities

The ML Ops Engineer will:

  • Apply software engineering best practices to machine learning, including CI/CD, automation, etc.
  • Support model development, with an emphasis on auditability, versioning and security
  • Facilitate the development and deployment of ML systems
  • Develop and deploy scalable tools and services for the data science team to run machine learning workloads for training and predictions
  • Design data pipelines and engineering infrastructure to support the data science team run workloads are scale
  • Work with Data Science and DevOps teams to productionise and release models following change processes and best practice.

Skills

To be successful in this role you will have:

  • Strong written and verbal communication skills
  • Scripting experience in Python and Bash
  • Hands on experience with Linux and Windows systems
  • Knowledge of Git commands and branching
  • Cloud experience (AWS, Azure or GCP)
  • Hands on experience with any of the following Terraform, AWS/Azure CLI, Docker, Kubernetes, Jenkins CI/CD, Grafana
  • Experience working in a DevOps environment
  • Experience with any of the following AzureML, AutoML, Sagemaker, Kubeflow

Skills that will be highly desired but not essential:

  • Experience in building ML feature stores, model stores or ML pipelines in GCP, AWS or Azure
  • Familiarity with Atlassian tool set (Jira, Confluence)
  • Experience with deploying workloads to Databricks
  • Exposure to deep learning modelling frameworks (PyTorch, Tensorflow, Keras, etc).

Qualifications

To be successful in this role you are likely to have:

  • Bachelor degree in computer science or a related field
  • Equivalent skills through experience and on the job learning.

More about us

We are looking for talented people who share our passion and hire on both skills and values. We are a truly diverse company and actively strive to be an industry leader in building inclusive technology teams. We offer a supportive and flexible working environment, including giving our staff the tools needed to work remotely.

To apply for the role please forward your covering letter and resume to: recruitment@theyield.com

September 2022

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