What are the responsibilities and job description for the Lead Artificial Intelligence / Machine Learning Engineer position at Sparibis?
Location: 100% Telework
Years’ Experience: 14 years professional experience
Education: Bachelor Degree in IT related field
Clearance: Applicants must be able to obtain and maintain a Public Trust security clearance NOTE: United States Citizenship is required as part of the eligibility criteria to be able to obtain this type of security clearance.
Key Skills:
- 10 years of IT experience focusing on enterprise data architecture and management
- Experience with Databricks required
- MUST have experience with Identity/Entity Resolution
- LiveRamp, Data Warehouse, FullContact, Identity Graph, Acxiom, Infutor, Senzing, Tapad
- MUST have experience in Graph Data Science
- Must have experience in tools such as Python, Pandas, Numby, Sidekick Learn, and/or Neo4j
- Advanced level SQL experience (Joins, Aggregation, Windowing functions, Common Table Expressions, RDBMS schema design, Postgres performance optimization)
- Experience with AWS environment, CI/CD pipelines, and Python (Python 3) a bonus
Responsibilities
- Serve as the Artificial Intelligence / Machine Learning lead and will be responsible for reviewing the AL/ML architecture and development as well as mentoring more junior program staff.
- Analyze complex datasets and algorithms to assess performance or find new patterns and apply machine learning techniques to data sets related to immigration, with the goal to make an impact across federal government.
- Lead architecture design, technical support, and advisement services to ensure identity management system technologies are integrated and meeting the appropriate security requirements.
- Present results to diverse audience in presentation and report form.
- Provide support to leadership team members who engage with senior-level executives at a public-facing Federal agency and provide subject matter expertise in security architecture, AI/ML, and other key domain areas.
Qualifications
- 14 years of IT experience focusing on enterprise data architecture and management.
- Bachelor degree in IT related field (computer science, mathematics and statistics).
- 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.
- MUST have experience with Identity/Entity Resolutions
- LiveRamp, Data Warehouse, FullContact, Identity Graph, Acxiom, Infutor, Senzing, Tapad
- MUST have experience in Graph Data Science
- Must have experience in tools such as Python, Pandas, Numby, Sidekick Learn, and/or Neo4j
- Experience modeling solutions in AWS that use AI/ML algorithms and in cloud architecture, specifically AWS as it relates to data processing (ie. EC2, S3, Lambda, Databricks, Redshift, etc).
- Ability analyze and organize large amounts of data while executing tests and optimizing ML systems and algorithms.
- Experience with AI/ML Object Detection and Tracking (FairMOT, SSD, Yolo v5).
- Experience with AI/ML tools such as Tensorflow, Keras, OpenCV, MXNet, MS Cognitive Services, and/or SciKit-Learn.
- Experience with the development of Microservices Architecture and deploying to AWS.
- Ability to define and maintain BI/Data Warehouse methodologies, standards, and industry best practices.
- Experience leading and architecting enterprise-wide initiatives, specifically system integration, data migration, transformation, data warehouse build, data mart build, data lakes implementation/support, as well as O&M etc. for a large enterprise.
- Experience with Spark ETL and ELT tools such as SSIS, Pentaho, and/or Data Migration Services
- Advanced level SQL experience (Joins, Aggregation, Windowing functions, Common Table Expressions, RDBMS schema design, Postgres performance optimization).
- Experience with AWS environment, CI/CD pipelines (Kubernetes, Fargate, Cloud Formation, Terraform), and Python (Python 3) a bonus.
- Experience with Kafka a bonus.
- Identifying differences in data distribution that affect modeling performance and verify data quality.
- Experience in large-scale database requirements supporting diverse data types and experience briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior level management.
- Ability to continuously learn and stay up to date on new trends and technologies in ML and AI including cyber security requirements from presidential directives and NIST guidance.
- Software development background with experience in knowledge in Java, Spring, Angular, Postgres, NodJS desired but not required.
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.
