AI/ML Engineer

Summary

Join our team at Encora as a Senior AI/ML Engineer to design, develop, and deploy AI/ML algorithms for automated data mapping and transformation between diverse data sources. Leverage Azure services and Snowflake's capabilities to build scalable and efficient data pipelines. Collaborate with cross-functional teams to understand data requirements and ensure successful integration of solutions.

Requirements

• Bachelor’s or master’s degree in computer science, Data Science, or a related field
• 5+ years of experience in AI/ML engineering, with a focus on data mapping and transformation
• Strong programming skills in Python or another relevant language
• Proven experience with Azure services such as Azure Data Factory, Databricks, Azure ML, Azure Data Lake
• Hands-on experience with Snowflake data warehousing, including data loading, transformation, and querying
• Expertise in developing and implementing machine learning algorithms (e.g., classification, clustering, NLP) for data mapping and transformation tasks
• Experience with data quality tools and techniques
• Excellent communication and collaboration skills

Responsibilities

• Design, develop, and deploy AI/ML algorithms for automated data mapping and transformation between diverse data sources
• Leverage Azure services (e.g., Azure Data Factory, Databricks, Azure ML, Azure Data Lake) and Snowflake's capabilities to build scalable and efficient data pipelines
• Develop and implement data quality checks and validation rules within the AI/ML pipeline
• Collaborate with data engineers, data analysts, and business stakeholders to understand data requirements and ensure successful integration of solutions
• Stay current with the latest advancements in AI/ML and cloud technologies, particularly in the areas of data mapping and transformation
• Contribute to the development and maintenance of technical documentation related to AI/ML solutions
• Mentor junior team members and promote best practices in AI/ML development

Preferred Qualifications

• Experience with data governance and metadata management tools
• Familiarity with DevOps practices and tools
• Contributions to open-source AI/ML projects