The Lead Artificial Intelligence/Machine Learning Engineer must be able to meet the key criteria below:

1. Location: 100% telework
2. Years' Experience: 14+ years
3. Education: Bachelor’s in IT related field
4. Security Clearance: IBR is a federal contractor. 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.
5. Employment Type: Exempt
6. 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
   • MIST 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

Overview

Do you want to help build a portfolio of next-generation mobile-enabled data collection systems and enterprise portals? As a Lead Artificial Intelligence / Machine Learning Engineer at IBR, you will support the Agile based engineering of a robust, secure, and scalable enterprise web portal solutions hosted in AWS. You will perform research, build, and design AI systems that automate predictive models. Design and create algorithms capable of capable of learning and making predictions that define machine learning. As the lead you will work with the data science team to design algorithms to meet DHS requirements. This position will work closely with the solutions delivery team to supporting the operations team performing Deployment, Systems Integration Testing, and Operations & Maintenance activities.

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
• MIST 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

Physical Demands and Work Environment

While this position primarily involves sedentary work in an office environment and/or home-office environment, there are some physical demands associated with the role, including:

• Extended periods of sitting and working at a computer workstation.
• Occasional lifting and carrying of equipment or materials weighing up to 20 pounds.
• Occasional travel to client sites or meetings may be required.
• Work may need to be performed in a fast-paced environment requiring quick thinking and rapid judgements.
• Additionally, flexible work arrangements may be available based on business needs.
• Employee will be exposed to a wide variety of clients in differing functions, personalities, and abilities.

About IBR
Imagine Believe Realize, LLC (IBR) is an emerging small business focused on delivering software and systems engineering solutions to government and commercial clients. Our talent acquisition strategy is tailored to career seeking candidates who embrace continuous learning and desire to grow as a professional in the software/systems engineering industry. We strive to enhance our team members ability to thrive in the workplace by creating a proper work/life balance and first-class benefits package that includes:

• Nationwide medical, dental, and vision insurance
• 3 weeks of Paid Time Off and 11 Paid Federal Holidays
• 401k matching
• Life Insurance, Short-Term Disability, and Long-Term Disability at no cost to our employees
• Flexible spending accounts and Dependent Care spending accounts
• Wellness incentives
• Reimbursement for professional development and certifications
• Training assistance opportunities

Upon hire and in compliance with federal law, all persons hired are required to verify identity and eligibility to work in the United States, and to complete the required employment eligibility verification and background check. IBR is a Federal Contractor.

Imagine Believe Realize, LLC is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate based upon race, age, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.”
Learn more at http://www.teamibr.com

If alternative methods of assistance are needed with the application process, additional contact information has been provided below:

info@teamibr.com
407.459.1830