Senior Machine Learning Engineer

5 days ago

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Leonardo.Ai

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Leonardo. Ai is a company that leverages advanced artificial intelligence to revolutionize the creation and generation of digital content. Offering a suite of AI-powered tools, Leonardo. Ai enables users to generate art, illustrations, and videos with ease. Their AI Art Generator, AI Video Generator, and other creative tools enhance workflows for graphic design, marketing, photography, and more, making high-quality visual asset creation accessible to beginners and professionals alike. The company also supports a vibrant community of creators and provides various models specialized for diverse artistic and photographic styles.

11 - 50 employees

🤖 Artificial Intelligence

⚡ Productivity

☁️ SaaS

📋 Description

• Leonardo.Ai seeks a Senior Machine Learning Engineer to join our expanding global AI team. • You will be pivotal in creating robust, scalable, and efficient infrastructure for machine learning workflows. • Leverage your MLOps, cloud technologies, and automation expertise. • Enable the seamless deployment, monitoring, and optimization of machine learning models. • Design, build, and maintain robust MLOps pipelines to support machine learning models. • Collaborate with DevOps teams to implement and manage cloud infrastructure. • Implement CI/CD pipelines tailored for machine learning workflows. • Design and maintain scalable data pipelines for collecting, processing, and storing data. • Deploy machine learning models to production, ensuring robustness and low latency. • Work closely with cross-functional teams to support ongoing projects.

🎯 Requirements

• Strong experience building and managing MLOps pipelines using frameworks like Kubeflow, MLflow, or similar. • Proficiency in Python, focusing on writing high-performance, maintainable code. • Hands-on experience with AWS services (e.g., S3, EC2, SageMaker), and infrastructure-as-code tools like Terraform. • Deep understanding of Docker and container orchestration tools like Kubernetes. • Experience designing scalable ETL pipelines and working with SQL and NoSQL databases. • Familiarity with API integrations, network configurations (e.g., proxies, SSH, NAT, VPN), and security best practices. • Knowledge of monitoring tools such as Prometheus, Grafana, or CloudWatch. • Highly adaptable and eager to learn emerging tools and technologies in the MLOps landscape. • Strong grasp of DevOps principles, including CI/CD and infrastructure automation. • Understanding of machine learning model lifecycle, including data versioning, experiment tracking, and model explainability. • Experience with distributed computing frameworks like Apache Spark, Dask, or Ray. • Familiarity with performance optimisation techniques such as multi-threading, vectorisation, or distributed computing.

🏖️ Benefits

• A range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: • Impact the future of AI • Reward package including equity - we want our success to be yours too • Inclusive parental leave policy that supports all parents & carers with 18 weeks paid leave • An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more • Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally, including remote working abroad • Support with your professional development • Fun and engaging company events, both virtual and in-person • 20 days annual leave