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Machine Learning Infrastructure Specialist
2 weeks ago
**Company Overview:**
Leonardo.Ai is a cutting-edge technology company that specializes in developing innovative AI solutions. Our team of experts is dedicated to creating robust and scalable machine learning pipelines that enable seamless integration of AI products and tools.
**Job Description:**
We are seeking a highly skilled Senior Machine Learning Engineer to join our expanding global AI team. As a Senior Machine Learning Engineer, you will be responsible for designing, building, and maintaining robust MLOps pipelines that support the end-to-end lifecycle of machine learning models.
**Responsibilities:**
- Design, build, and maintain robust MLOps pipelines to support the end-to-end lifecycle of machine learning models, including data preparation, training, deployment, monitoring, and retraining.
- Develop reusable tools and modules to enable efficient experimentation, model deployment, and versioning.
- Integrate ComfyUI nodes and other workflow tools into the MLOps ecosystem, optimising for performance and scalability.
- Collaborate with DevOps teams to implement and manage cloud infrastructure, focusing on AWS (e.g., S3, EC2, SageMaker) using tools like Terraform and CloudFormation.
- Implement CI/CD pipelines tailored for machine learning workflows, ensuring smooth transitions from research to production.
- Optimise resource allocation and manage costs associated with cloud-based machine learning workloads.
**Requirements:**
To be successful in this role, you should have:
- 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.
**What We Offer:**
We offer a range of benefits to support your growth and development:
- A competitive salary package.
- Equity in our company.
- Flexible work environment.
- Continuous learning opportunities.
- Support for personal and professional development.
**How to Apply:**
If you are passionate about machine learning and eager to make a meaningful impact, please submit your application, along with your resume and cover letter.
