Full Stack AI Engineer

at  Unleash live

ABOUT US

Unleash live is a world-leading AI video analytics platform, helping our customers in the infrastructure, renewables and, cities & transport spaces take vision from any camera and combine it with AI to deliver actionable insights in real-time.
Unleash live is in an exciting expansion stage focused on the Australian and the US markets. People interested in travelling and being flexible when working with our globally spread team are best suited.
To succeed, we are always looking for people who thrive in solving customer challenges and can develop technology that drives innovation.
This is an excellent opportunity for someone wanting to grow their career, gain experience in multiple business units, and like access to the senior leadership team.
We have a young, dynamic, culturally diverse team across several continents with USA, Australia, and Europe offices. We work agilely, on location and in a remote fashion, supporting each other with a heavy bias towards open communication and high-quality outcomes.
We are proud of our diverse cultural team and hybrid work environment. We believe building a team diverse in people, ideas, and experiences allows individuals to perform at the highest level.

POSITION SUMMARY

We seek a Full-Stack AI Engineer to join our AI team and drive our vision of Industrialized Live AI Visual Analytics for Actionable Insights and Smart Decisions. In this role, you’ll own the end-to-end machine learning pipeline from data preparation and model training to deployment in a cloud environment (AWS). This role requires MLOps, computer vision, and software development expertise to create reliable and scalable solutions that integrate seamlessly with other platforms via API.

EDUCATION AND WORK EXPERIENCE

Essential

• Bachelor’s or higher degree in Computer Science, Machine Learning, or a related field.
• Proven experience in machine learning engineering, with a focus on MLOps, computer vision, and video analytics.
• Proven ability to develop and deploy AI models in a production environment.
• Experience deploying end-to-end AI solutions in a production setting.
• Experience in deploying containerized solutions in a production setting.
• Proficiency in Python, C++, or other relevant programming languages for AI model development.
• Strong experience with cloud platforms, particularly AWS, for deploying and scaling AI solutions.
• Knowledge of API development and integration with third-party platforms.
• Ability to work collaboratively in a global team, with flexibility for time zones and occasional travel.

Technical

• Proficiency in Python and relevant machine learning libraries (e.g. PyTorch, TensorFlow, OpenCV).
• Experience with data processing and analysis tools (e.g., Pandas, NumPy).
• Experience with AWS technical stack, including Redshift, S3, DynamoDB.
• Experience with data science toolkits is a plus (e.g. AWS Quicksight, SageMaker, Grafana).
• Experience in software optimizations is a plus.
• IOT development experience is a plus.
• Experience in CUDA programming is a plus.

• Develop and deploy machine learning models in a production environment, focusing on computer vision and real-time video analytics.
• Build and manage the end-to-end ML pipeline, including data preparation, training, evaluation, deployment, and monitoring.
• Build and manage the end-to-end Data Science pipeline including data ingestion, transformation, analytics and visualization.
• Design and implement APIs to ensure integration with other applications and platforms.
• Collaborate with cross-functional teams to define project requirements and deliver high-quality, customer-focused solutions.
• Optimize and maintain cloud infrastructure (AWS) for AI model deployment and scalability.
• Stay current with industry trends and advancements in machine learning, computer vision, and cloud technologies.