Machine Learning Software Developer

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Washington,District of Columbia, USA

The Challenge:

Are you looking for an opportunity to build a powerhouse system that will enable enterprise machine learning? You know a good AI solution is more than just a nice-looking interface + data. You need the right combination of clean code, APIs, analytics, and infrastructure to build a user focused solution. As a software engineer, you’ll solve a problem with a complete end-to-end solution in a fast-paced, agile environment. We’re looking for someone like you with the skills and experience to build machine learning software from vision to production-ready systems.

As a software engineer on our team, you’ll work directly with your customer to overcome their most difficult challenges using the latest architectural approaches like scalable microservices and event-driven design, alongside open source frameworks and tools like Swagger, Node.js, Kubernetes, and TensorFlow. You’ll use your passion to learn new tools and techniques, identify and implement system improvements, and mentor teammates. You’ll analyze the customer needs and the environment to make sure the solution you’re developing considers the current architecture and operating environment, as well as future functionality and enhancements. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.

Work with us as we build software that enables AI solutions.

Join us. The world can’t wait.

You Have:

2+ years of experience with Node.JS, Typescript, and React

Experience with a variety of machine learning toolsets, including Keras, TensorFlow, PyTorch, or ONNX

Experience with developing REST APIs and working with Web Sockets

Experience with data streaming technologies and architecture, including Apache NiFi, Spark, or Kafka

Experience with containerized applications and solutions for scalability

Ability to obtain a security clearance

Bachelor’s degree

Nice to Have:

Experience with C#, Java, and C++

Experience with implementing relational and noSQL large scale data architectures

Experience with any one of the following Big Data technologies, including Elasticsearch, Solr, Cloudera Search, StreamSets, HBase, Accumulo, Cassandra, Neo4j, ArangoDB, and OrientDB

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation:

The proposed salary range for this position in Colorado is $100,000 to $120,000. Final salary will be determined based on various factors.

At Booz Allen, we celebrate your contributions, provide you with opportunities and choice, and support your total well-being. Our comprehensive benefit offerings include healthcare, retirement plan, insurance programs, commuter program, employee assistance program, paid and unpaid leave programs, education assistance, and childcare benefits.

Build Your Career:

A challenging and dynamic work environment isn’t all we have to offer. When you join Booz Allen, you’ll have access to:

experts in virtually every field

a culture that focuses on supporting our employees

opportunities that provide stability while offering variety

You’ll also be exposed to a wealth of training resources through our Digital University, an online learning portal featuring more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, on-site bootcamps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success.

We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic—to fearlessly drive change.

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