Artificial Intelligence Engineer

We are looking to urgently fill a full-time (FTE) Lead AI Engineer role
. Please find the details below:

• Develop and deploy AI models leveraging a strong background in Python programming.
• Design, implement, and maintain data pipelines for various purposes, including ETL processes, model scoring, model performance monitoring, data offloading, job scheduling, and automation.
• Utilize SQL for data manipulation, querying, and analysis to support AI model development and optimization.
• Collaborate with cross-functional teams to integrate AI solutions into existing infrastructure and workflows.
• Familiarize with and utilize tools such as Airflow, Domino, and Control-M for workflow orchestration, scheduling, and automation.
• Manage codebase using version control systems like Gitlab (or Git) and participate in CI/CD pipeline activities.
• Work with data storage technologies such as Snowflake, Cloudera, Hadoop, HDFS, and Hive for data storage, retrieval, and processing.
• Skills Needed:
• Strong Python background with demonstrable experience in AI and machine learning.
• Good knowledge of SQL for data manipulation, querying, and analysis.
• Experience with designing and implementing data pipelines for various purposes, including ETL, model scoring, and automation.
• Familiarity with Airflow, Domino, Control-M, Snowflake, Gitlab (or Git in general), and CI/CD Pipelines.
• Understanding of Cloudera, Hadoop, HDFS, and Hive for big data processing and storage.

• Strong Python
  
  Skills:
  
  Demonstrable experience in developing and deploying AI models using Python.
• 10+ years of experience needed
• Proficiency in SQL:
  Extensive knowledge in SQL for complex data manipulation, querying, and analysis essential for AI model development and optimization.
• Data Pipeline Design and Implementation:
  Experience in designing and maintaining robust data pipelines for ETL processes, model scoring, model performance monitoring, and data offloading.
• Workflow Orchestration Tools:
  Proficiency with tools such as Airflow for workflow scheduling and Domino and Control-M for task automation and management.
• Version Control and CI/CD:
  Skilled in using version control systems like Git Lab or Git, with an understanding of Continuous Integration and Continuous Deployment pipeline activities.
• Data Storage Technologies:
  Knowledge of data storage and processing technologies such as Snowflake, Cloudera, Hadoop, HDFS, and Hive.
• Cross-Functional Collaboration:
  
  Ability to work effectively with cross-functional teams to integrate AI solutions into existing company infrastructure and workflows.
• Problem Solving:
  Strong analytical and problem-solving skills with a capacity to handle complex challenges in data and AI model deployment environments.

• Experience with Storage Grid, DBT, and Sagemaker is a plus.
• Familiarity with Snowpark, APIs, Talon Batch, Kafka, and graph-based models.
• Knowledge of building databases on Snowflake would be advantageous.
• If you possess the required skills and are passionate about AI engineering, we encourage you to apply and join our team of talented professionals driving innovation in AI.