Description

You will design and deliver end-to-end projects to support teams building and deploying AI applications.

Responsibilities

• Create golden paths that remove roadblocks and improve ideation for development teams.
• Provide mentorship, technical guidance, and perform code reviews for team members.
• Address common pain points in the MLDLC to support AI application deployment.
• Collaborate with engineers, product managers, and stakeholders in an Agile environment.
• Evaluate frameworks, vendors, and tools to optimize processes and costs.

Required Skills

• 5+ years of hands-on experience developing Machine Learning algorithms.
• 5+ years of experience deploying Machine Learning services.
• 5+ years of experience supporting the entire MLDLC, including post-deployment monitoring and maintenance.
• 5+ years of experience with AWS and/or GCP.
• Proficiency in Python.
• Experience with FastAPI, Prometheus, Grafana, Apache Kafka, Apache Airflow, MLflow, or Kubeflow.
• Practical understanding of containerization technologies like Docker and Kubernetes.
• Proficiency in GitOps and managing CI/CD pipelines.
• Demonstrated experience building and using SQL/NoSQL databases.
• Ability to break complex problems into well-defined, iterative development steps.

Preferred Skills

• Degree in Computer Science, Information Systems, Machine Learning, or a similar field.
• Experience with Java.
• Experience working across multiple development teams.

Key Skills

Education

Any Gradute