Machine Learning Software Engineer

Job Description

Description:

Perks and Benefits

100% Paid Healthcare

31 Days PTO

10% 401k in every paycheck

100% Fully Vested!

Do you get excited about learning new technologies, problem solving, and influencing outcomes?

We know that cybersecurity and its technologies evolve at a rapid pace. The defense community needs an engineering partner who can not only keep up, but bring the technical expertise and passion necessary to solve the new hardest problems — and do it well. GIGATEC's highly engaged, agile team does just that, with innovative solutions for every mission-critical challenge.

If your answer is an enthusiastic "yes" then please keep reading!

Our team is passionate about defending national security and mastering new tech, so we give our engineers exactly what they need to do both: unlimited upskilling, tuition reimbursement, student loan repayment, and 100% paid healthcare, plus flexible benefits.

We are seeking Software Engineer who wish to accelerate their skills and focus on tackling the most difficult challenges of the US Government, in one of the most exciting areas of the mission available. GIGATEC offers the best salaries and benefits packages available, where you are at the center of our motivation.

NOTE – Our positions require a Top Secret clearance, as well as the favorable completion of a polygraph. Applicants must be authorized to work in the U.S. We are unable to sponsor an employment Visa.

Requirements:

What You’ll Be Doing (We don’t love the bullet points, but we love the work!)

Your role will include being tapped into for designing, developing, and sustaining pipelines that enable machine-learning model training as well as large scale inference in a Kubernetes-based environment. Development of data-aware model training pipelines to, Kubernetes-based inference pipelines that compliantly handle in-flight data, and maintaining custom metrics to enable tuning of running pipelines.

You will get to work with cutting edge systems which might include (but are likely not limited to) processing intensive analytics (remember, this is HPC), novel algorithm development, manipulation of extremely large data sets (again, HPC!), real-time systems, business management information systems, and systems which incorporate data repositories, data transport services, and application and systems development and monitoring. All being critical to the success of the customer and the overall mission at large.

Required Skills

– Experience using the Linux CLI

– Experience developing with Python

– Data processing workflows and ETL solutions such as Spark, and/or Dask

– Developing and deploying containerized applications

– Writing and deploying Kubernetes resources

– Writing and deploying Helm charts

Position Desired Skills

– Experience developing with Go

– Experience with CI/CD concepts & implementations (Gitlab, Flux CD, etc)

– Experience working with, and debugging, GPU-enabled applications

– Experience with Policy Management Tools such as Kyverno

– Experience using Imagine Builder Tools for Go such as Ko

– Experience using a machine-learning framework (PyTorch, TensorFlow, etc)

– Experience with other ML pipelines/frameworks like KubeFlow, NeMo, PyTorch Lightning

– Experience with metrics and monitoring tools such as Prometheus and Grafana

– Experience with the Atlassian suite of tools

Qualifications

– (5) years’ experience

– Bachelor’s degree in Computer Science or related discipline