ML Ops Engineer

Are you a DevOps guru who enjoys bringing simplicity to complex builds and deployments? Do you have a passion for leveraging machine learning to solve users’ tough problems? Do you do a fist pump when code commits get auto deployed? If you said yes, Yes, YES, then we may have a home for you. Our ML teams are focused on building, deploying, and scaling ML models. We're looking for an MLOps engineer with experience in cloud infrastructure, deployment pipelines, and hosting ML models. You will work with our team to turn custom ML models into valuable enrichment services with web APIs.

You will be a part of an exciting program that serves the core operational mission of our Sponsor. This mid-sized, high-visibility program is paving the way for next-generation search, access control, and content curation capabilities at the heart of what our customer does. We are truly transforming the way our Sponsor does business and we need your help! Our program's high-performance development teams leverage modern technologies and practices including Lean Agile, Clean Code, and DevOps. In this role you’ll be supporting the team to build systems to catalog, evaluate, monitor, and publish new ML capabilities. You should be comfortable working in teams. Additionally, you should demonstrate a strong desire to continue learning, make an impact, and play a crucial role in expanding our AI/ML expertise.

ABOUT US

Here at BTI360, we’ve built a culture that’s passionate about developing software engineers. Software doesn't build itself. People do. In fact, teams of people do. That's why our primary focus is on developing better craftsmen, better teammates, and better technical leaders. By putting people first, we're not just giving our teammates more opportunities to grow, we're also raising the bar of the software we ship. BTI360 was voted 10 years in a row as a TOP Place to Work by the Washington Business Journal.

Required:

Must be US Citizen

Bachelor’s degree in computer science, Computer Engineering, or equivalent experience

3+ years of Software Engineering experience

Proficient in: Python, Java, YAML

Familiar with ML model hosting environments (SageMaker, NVidia Triton)

Familiar with ML model packaging, hosting, and deploying

Familiar with AWS ecosystem of services (i.e., S3, RDS, DynamoDB, Lambda, Sagemaker)

Familiar with CI/CD automation tools such as Jenkins, GitOps, CodePipeline

Desired:

Active TS clearance with Polygraph.

Familiar with Kubeflow, Metaflow, mlflow, Flyte, Seldon Core, ArgoCD for ML models or similar

Familiar with ML model evaluating

AWS Cloud Certified (Cloud Practitioner, Solutions Architect)

Familiar with LLMs like: Llama2, Amazon Titan, Claude 2, Hugging Face, or similar

Familiar with Kubernetes or other container orchestration tools

Experience using the latest Generative AI Technologies

Experience working with Large Language Models (LLMs) - prompt engineering, prompt chaining, retrieval-augmented generation (RAG), hallucination mitigation

BTI360 also offers a great benefits package that includes:

Fully paid healthcare premiums

Competitive salaries with Performance Bonuses

Career Development and In-house training

Continuing Education: $5,250 Annually Towards Education and Training

5 Weeks of PTO plus 10 Federal Holidays

401K Dollar for Dollar Matching up to 6% Annually - Vested immediately on day 1.

Giving Back: Serving communities locally and across the globe.

Social Events (i.e., Annual Golf Tournament, Family Day, Cooking Classes)

BTI360 is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class. BTI360 is a drug-free workplace.