Software Engineer 3 - AI/ML

Prodigy One, LLC
Annapolis Junction, MD, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Agile Methodology Artificial Intelligence Amazon Web Services Automation of Tests Microsoft Azure Cloud Computing DevOps Eclipse (Software) Electronic Data Interchange (EDI) Elasticsearch IntelliJ IDEA
+26 more
Python (Programming Language) PostgreSQL Machine Learning Apache Maven MongoDB Redis Cloud Services Software Engineering Software Systems Data Streaming Virtualization Technology Flask (Web Framework) Spring-boot Multi-Cloud Cyber Threat Analysis Git Containerization Kubernetes Information Technology Apache Flink Apache Kafka Cyber Warfare Software Version Control Docker Vmware Programming Languages

Job description

Were seeking a Software Engineer 3 with Machine Learning (ML) & Artificial Intelligence (AI) experience, for our PRIME contract. The ideal candidate will be responsible for designing and developing robust software solutions that leverage ML and AI techniques to enhance cyber defense and cyber intelligence solutions. This role requires a deep understanding of both programming languages, as well as experience in implementing ML/AI algorithms and frameworks. You will be part of a talented software team focused on developing solutions to innovate mission-critical systems and applications. Those interested in this position should be comfortable with change and learning new technologies, as this opportunity is focused on finding innovative solutions to our customer’s toughest challenges. The team will also address additional challenges related to provisioning of infrastructure and cloud migration within a hybrid, multi-cloud environment (e.g., VMware, AWS & Azure), Cyber Threat Intelligence, DevOps, and Containerization & Orchestration. If you are a software engineer with experience in both Java and Python, have experience in ML and AI, and are interested in solving new challenges, we certainly would like to have you as a part of our team. The selected candidate will be responsible for:

  • Evaluating models for applicability to mission problems, including speed, accuracy, security, and compliance.
  • Understanding of standard AI / ML data formats for models, weights, and data interchange.
  • Applying industry standard techniques for compressing and fine-tuning models to fit target platforms. This would include CPU-only implementations and edge devices.
  • Optimizing performance and efficiency of ML/AI models through continuous testing and refinement.
  • Designing and developing ML and AI algorithms and integrate those ML and AI algorithms into systems to solve emerging mission critical problems.
  • Providing Leadership and support for corporate AI efforts, including the AI Working Group, Innovation Center, and proposal activities.
  • Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Conducting research and experiments to identify and evaluate the most suitable ML/AI techniques for specific use cases.
  • Staying up to date with the latest advancements in ML/AI technologies and best practices. Researching new technologies, understanding emerging challenges to mission critical solutions and quick reaction problem identification & resolution.
  • Analyzing, designing, developing, testing deploying, and maintaining Java & Python based innovative solutions to address emerging mission challenges, using industry best practices and frameworks.
  • Documenting experiment results, prototype software solutions and ensuring that all technical documentation (i.e. configuration guides, install guides) meets requirements.
  • Collaborating with other team members and stakeholders to jointly solve problems and find solutions as a team.
  • Working collaboratively in an Agile development environment.
  • Software development on low and high side to build innovative solutions in both environments.
  • Working in both AWS and Azure environments.
  • Work performed in contractor facility in Annapolis Junction.
  • Opportunity for partial telework

Requirements

  • Languages: Java, Python
  • Testing: Unit, Integration
  • Source Code Control (specifically Git)
  • IDE (Intellij or Eclipse)
  • Maven
  • Frameworks: Spring Boot, Flask
  • Analytical development: Machine Learning, Stream, Batch
  • Virtualization Environments: Kubernetes, Containers (Docker, Containerd), Cloud (AWS/HCI)
  • Streaming Frameworks: Kafka, Flink
  • MongoDB, ArangoDB, Redis, PostgreSQL

Preferred Qualifications:

  • ElasticSearch
  • Work performed in contractor facility in Annapolis Junction
  • Both low and high side access
  • Potential telework, Bachelor’s degree in Computer Science or related discipline from an accredited college or university is required. Four years of additional SWE experience on projects with similar software processes may be substituted for a bachelor’s degree.

Benefits & conditions

Pulled from the full job description

  • Paid training
  • Paid time off
  • Vision insurance
  • Dental insurance
  • Profit sharing, * 10% Employer Contribution to 401K; Immediately Vested
  • 5 Weeks Paid Time Off (PTO) up to 7 weeks
  • Access to Premium Healthcare/Dental/Vision Available
  • $2500+ Training Paid
  • Referral Company Profit Sharing

About the company

Prodigy One, LLC. is a systems and software engineering services firm providing more than 45 years of service to state and federal customers. By combining unparalleled experience and capabilities, our company provides big data, cloud development, and enterprise management solutions. We are focused on product usability and end user presentation to help our customers make the best decisions possible. Given our length of service in the industry, Prodigy One knows the importance of a competitive salary and benefits package. That’s why our total compensation package can be tailored to meet employees personal needs.

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