Responsibilities:

• As an Architect, you will be a key stakeholder and owning the responsibility in designing and architecting end to end ML solutions
• Expected to deliver tangible solutions for the clients and capable of creating and maintaining architecture using leading AI technology frameworks
• Design & implementation of MLOps and ModelOps principles
• Understanding of ML Specific quality assurance and testing
• Model Governance and Monitoring
• Execute best practices in version control and continuous integration / delivery
• Collaborate with data scientists, engineers and other key stakeholders
• Work well in a fast-paced cross-functional environment
  

Skills/Requirements

• Minimum 8+ years of experience in AI/ML
• Experience in implementing end-to-end machine learning life cycle on AWS or Azure or GCP or Databricks platforms
• Engineer large-scale development systems using full-stack web-based, distributed shallow and deep-learning technologies and big data technologies
• Experience with Docker, Jenkins, Kubernetes, and other DevOps tools.
• Experience with Machine learning frameworks, libraries, and agile environments.
• Experience with version control tools such as Git, Bitbucket, etc.
• Experience with SQL and databases.
• Familiarity with Kubeflow or mlflow
• Understanding of Data Warehousing and Data Lake concepts would be plus
• Very Strong communication skills
• Outstanding analytical and problem-solving skills.