scikit-learn Jobs in Australia.
All active scikit-learn roles based in Australia.
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Passionate about unearthing and driving complex data science solutions across huge amounts of data to drive business value? Join our growing Data Science Team!
What's in it for you?
As a Senior Data Scientist, you will play a pivotal role in driving all stages of our data science projects including: ideation, scoping, development, deployment and monitoring. Working closely with business stakeholders and leadership, you will get to work on our global platforms to architect and implement scalable solutions that will impact millions of users worldwide.
Your role with us:
In your role with us, you will drive and technically lead complex machine learning and AI initiatives across our global platform, architecting and implementing scalable solutions that handle petabyte-scale data and impact millions of users worldwide. The role involves providing technical leadership, mentoring junior team members, and working closely with stakeholders to deliver high-impact data science solutions that drive business value.
Who are we?
At Easygo we proudly stand as a prominent service provider to a powerhouse of brands within the entertainment industry, including Stake.com, Kick.com and Twist Gaming.
Stake is the world's largest crypto casino, and leads the industry with a seamless online casino and sportsbook experience.
Level up your online entertainment with Kick.com, the vibrant live-streaming platform, which connects millions of gamers and content creators worldwide.
All alongside the innovative game design studio, Twist Gaming, which takes creativity to new heights by crafting cutting-edge and captivating games.
Our commitment to placing our clients and their communities' entertainment at the forefront of everything we do, has solidified us as the ultimate online service provider for entertainment companies.
Headquartered in the beautiful city of Melbourne, our growth has been remarkable. From humble beginnings to a thriving workforce of 700+, we've expanded not only in numbers but in ambition. There really is something for everyone here, whether you work in Tech, Marketing, Operations, Mathematics or Design, we are sure to have something for everyone.
Click play, on your career today!
What you will do:
- Technically lead the end-to-end machine learning solutions. Design, develop, and deploy comprehensive machine learning models from ideation and data collection to deployment and ongoing monitoring.
- Drive the technical strategy and architecture decisions for large-scale data science projects
- Apply statistical analysis and machine learning techniques to solve key business problems across various domains.
- Design and implement robust monitoring systems for production ML models.
- Partner with stakeholders to understand needs and communicate complex data science concepts, progress, and results to both technical and non-technical audiences.
- Mentor and provide technical guidance to junior data scientists.
What you will bring:
- 5+ years of hands-on data science experience in industry.
- Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field.
- Expert-level programming skills in the Python ecosystem (numpy, pandas, scikit-learn).
- Advanced proficiency in SQL.
- Demonstrated expertise in machine learning algorithms and their practical applications.
- Proven experience in designing and deploying production ML systems.
- Experience with cloud platforms and distributed computing.
- Track record of successfully delivering end-to-end ML projects.
Bonus points if you also have:
- Master's or PhD in relevant quantitative discipline.
- Deep expertise in AWS cloud services and ML deployment pipelines.
- Extensive experience with big data technologies and distributed computing frameworks.
- Specialized expertise in one or more areas: NLP, Computer Vision, Recommender Systems
- Experience with deep learning frameworks, particularly PyTorch.
- Experience leading technical teams or mentoring junior data scientists.
- Experience with ML systems design for high-scale, real-time applications.
Some of the perks of joining us:
- Access to over 9,000 courses across our Learning and Development Platform.
- EAP access for you and your family.
- Be rewarded with lucrative annual bonuses.
- Give back with a paid volunteer day.
- Fuel your day with daily breakfast and open pantries brimming with unlimited snacks and refreshments, all on the house.
- Break up the week with on site remedial massage Wednesdays.
- In house full-time barista’s providing you your daily coffee needs.
- Weekly team lunches and happy hour in the office from 4pm on Fridays.
- Enjoy a bustling office with the option for up to 2 days work from home per week.
- Fun office environment with F1 simulators, table tennis and all your favourite gaming consoles.
We believe that the unique contributions of everyone at Easygo are the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. We are passionate about providing a workplace that encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.
Ready to apply?
Apply to Easygo
AI Engineer - FDE (Forward Deployed Engineer)
Share this job
CSQ227R47
The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations.
The impact you will have:
- Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI Research to solve customer problems
- Own production rollouts of consumer and internally facing GenAI applications
- Serve as a trusted technical advisor to customers across a variety of domains
- Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
- Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap
What we look for:
- Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
- Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
- Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
- Experience building production-grade machine learning deployments on AWS, Azure, or GCP
- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
- Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
- Passion for collaboration, life-long learning, and driving business value through AI
- [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
AI Engineer - FDE (Forward Deployed Engineer)
Share this job
CSQ227R47
The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations.
The impact you will have:
- Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI Research to solve customer problems
- Own production rollouts of consumer and internally facing GenAI applications
- Serve as a trusted technical advisor to customers across a variety of domains
- Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
- Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap
What we look for:
- Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
- Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
- Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
- Experience building production-grade machine learning deployments on AWS, Azure, or GCP
- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
- Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
- Passion for collaboration, life-long learning, and driving business value through AI
- [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks