Senior AI/ML Engineer

The AI/ML Engineer is responsible for assessing, analyzing and organizing large amounts of data, while executing tests and optimizing ML systems and algorithms.

Responsibilities Include:

• Designing ML systems
• Researching and setting up ML algorithms and tools
• Selecting appropriate data sets
• Picking appropriate data representation methods
• Identifying differences in data distribution that affect model performance
• Verifying data quality
• Transforming and converting data science prototypes
• Performing statistical analysis
• Running machine learning tests
• Using results to improve models

Qualifications:

• 6+ years of experience in Programming R , Python ML space
• Experience with ML Model Life of Development and Management
• Experience in Spark Databricks or EMR
• Experience in MLOps practices MLFLow, AutoML, SparkML, ML Libraries
• Experience with Cloud ML/AI Practices

Additional Qualifications:

• Experience with SAS
• Experience with MLOps Platforms: Domino DataLabs, Databricks ML
• Experience with GenAI Project involvement LLM, OpenAI
• Knowledge of Cloud Engineering
• Knowledge of Data Engineering
• Should be able to get Public Trust clearance, united states citizenship is needed.

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