Description

You will architect and build the infrastructure required to automate the full AI/Client workstream.

Responsibilities

• Build and maintain tools and infrastructure to shorten software and AI development cycles.
• Automate workflows from data analysis and experimentation through to model training, tuning, and visualization.
• Manage and improve automated CI/CD pipelines to increase deployment velocity for models and data pipelines.
• Develop data pipelines for analytics, model evaluation, and training, including versioning and validation.
• Design dependable release processes and infrastructure in the cloud.

Required Skills

• 5+ years of experience in software or infrastructure engineering.
• Proficiency in Python, C++, and Java.
• Strong Bash scripting and Unix skills.
• Experience with DevOps tools including Jenkins, GitLab, Docker, and Kubernetes.
• Hands-on experience with infrastructure-as-code tools such as Terraform, Ansible, or Chef.
• Experience managing database systems including Postgres, MongoDB, and DynamoDB.
• Familiarity with orchestration and MLOps tools like Apache Airflow, DVC, and MLFlow.
• Strong software design, debugging, and problem-solving capabilities.
• Any Graduate degree.

Preferred Skills

• Experience with MS Dynamics CRM.

Key Skills

Education

Any Graduate