What are the responsibilities and job description for the Senior AI/ML Engineer position at Sparibis?
Location: 100% Telework
Years’ Experience: 7 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:
- Experience developing production AI/ML applications in AWS.
- Expertise with Python using TensorFlow, NumPy, SciPy, Scikit-Learn, and/or Keras.
- Advanced level SQL experience (Joins, Aggregation, Windowing functions, Common Table Expressions, RDBMS schema design, Postgres performance optimization).
- 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
- 7 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.
- Experience in Conceptual/Logical/Physical Data Modeling & expertise in Relational and Dimensional Data Modeling & Data Reconciliation.
- Expertise with Python using TensorFlow, NumPy, SciPy, Scikit-Learn, and/or Keras.
- Databricks experience a bonus.
- Apache Spark experience a bonus.
- Experience with Identity/Entity Resolutions 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 the development of Microservices Architecture and deploying to AWS.
- Advanced level SQL experience (Joins, Aggregation, Windowing functions, Common Table Expressions, RDBMS schema design, Postgres performance optimization).
- Experience with AWS CI/CD pipelines (Jenkins, Cloud Formation, Terraform) a bonus.
- Experience with Kinesis and/or Kafka a bonus.
- Identifying differences in data distribution that affect modeling performance and verify data quality.
- 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.
