Senior AI/ML Engineer

Location: 100% Telework

Years Experience: 10+ years professional experience

Education: Bachelor degree in IT related field

Clearance: Applicants must be able to obtain and maintain up to a Public Trust clearance. United States Citizenship is required as part of the eligibility criteria to be able to obtain this type of security clearance.

Key Skills:

• Deep understanding of key statistical learning concepts such as linear regression, logistic regression, regularization, tree-based methods, unsupervised learning, and resampling methods.
• Expertise with Python using Scikit-Learn, TensorFlow, NumPy, SciPy, and/or Keras.
• Advanced level SQL experience (Joins, Aggregation, Windowing functions, Common Table Expressions, RDBMS schema design, Postgres performance optimization).
• Experience with Entity Resolutions and Data Matching a bonus.
• Experience with AWS environment, and CI/CD pipelines a bonus.

Responsibilities

• Responsible for the development of production enterprise applications hosted on AWS and Databricks.
• Analyze complex datasets and algorithms to assess performance or find new patterns and apply machine learning techniques to data sets related to the federal government.
• Assist in architecture design, technical support, and advisement services to ensure identity management system technologies are integrated and meet the appropriate security requirements.
• Organize large amounts of data while executing tests and optimizing ML systems and algorithms.
• Implement web services, data persistence access features, and external interfaces.
• Perform related duties as assigned.

Qualifications

• 10+ years of IT experience focusing on enterprise data architecture and management.
• Bachelor s degree in IT-related field (computer science, mathematics, statistics, and data science).
• Must be able to obtain a Public Trust security clearance.
• Deep understanding of key statistical learning concepts such as linear regression, logistic regression, regularization, tree based methods, unsupervised learning, and resampling methods.
• Advanced level SQL experience (Joins, Aggregation, Windowing functions, Common Table Expressions, RDBMS schema design, Postgres performance optimization).
• Expertise with Python using Scikit-Learn, TensorFlow, NumPy, SciPy, and/or Keras.
• Databricks experience a bonus.
• Apache Spark experience a bonus.
• Experience with Entity Resolutions and Data Matching a bonus.
• Experience in graph analytics and network analysis a bonus.
• Experience creating AI/ML and data processing solutions in AWS (i.e. EC2, S3, Lambda, Databricks, etc.).
• Ability to analyze and organize large amounts of data while executing tests and optimizing ML systems and algorithms.
• Experience with AWS CI/CD pipelines (Jenkins, Cloud Formation, Terraform) a bonus.
• Ability to continuously learn and stay up to date on new trends and technologies in AI and ML.

About Sparibis

Sparibis LLC is a professional solution firm that Clients rely on to access the best talent to drive their business success.

Sparibis is an equal opportunity employer that values diversity at all levels. All individuals, regardless of personal characteristics, are encouraged to apply.