AI ML Engineer Job at System One, Bethesda, MD

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  • System One
  • Bethesda, MD

Job Description

AI/ML Engineer
Remote
 
We are seeking an AI/ML Engineer  to join us. This role is remote, collaborating with a major automotive client out of Detroit.
 
Duties and Responsibilities:
  • The AI/MLOps Engineer (AMOE) is an applied solutions expert who combines working knowledge of software engineering, machine learning, and DevOps best practices.
  • As part of a small team of dedicated AI problem solvers, an AMOE draws upon their practical skills to build CI/CD pipelines, deploy applications, promote security by design, and generally automate all the things.
  • Our team creates production ML/AI applications spanning multiple business domains, from logistics and operations to sales and business optimization.
  • Our work often involves collaboration with vendors, business stakeholders, etc., therefore communication skills and the ability to capture ideas in diagrams and documentation are equally important.
  • To help everyone sleep soundly at night, we seek teammates who write code with an eye for maintainability and testability.
  • We like integration tests, CI/CD, observability, and twelve-factor design.
 
The ideal candidate:
  • enjoys learning across the tech stack, from new developments in DevSecOps and automation to machine learning and artificial intelligence
  • takes pride in their work and derives great satisfaction from building reliable and maintainable infrastructure to support our team
  • isn't afraid to voice opinions, propose solutions, and receive constructive criticism in a collaborative design process
  • is a social coder who likes sharing and receiving code reviews, and values pair programming where appropriate
  • thrives in a remote-first work environment and uses remote collaboration tools effectively
  • works (UTC-5)-compatible hours.
 
Qualifications:
Education and Years of Experience:   
  • 8 years of experience
  • Proven engineering background. A technical degree in a field such as Computer Science or Data Analytics, and/or equivalent work experience.
  • Relevant certifications. Technical certifications, particularly ones related to DevOps (CKA, CKS, RHCSA, etc.).
Desired Skills/Certifications:  
  • Fluent in Python. Fluent candidates can comfortably:
  • read and write Python code; write method and class docstrings; manage package dependencies in a principled way.
  • Comfortable with git. We use GitHub extensively to develop and deploy our code; candidates should be comfortable writing quality PRs, utilizing GitOps, etc.
  • Strong command lines skills in *nix environments. Our code is built in and deployed to Unix-like environments; candidates should feel at home on the command line.
  • Excellent understanding of networking and security. Our work often extends across multiple networks and environments and deals with sensitive data.
  • Understands containers and orchestration. The ideal candidate will be comfortable containerizing applications, working with Kubernetes, and running systems in production.
  • Experienced in IaC and cloud deployment. We deploy applications to private and public cloud environments using cloud-native tooling and IaC principles (Terraform, Argo CD, Istio, etc.).
  • Familiar with ML/AI concepts and practices. Candidates should be comfortable with concepts such as model development, training, and monitoring.
Bonus Qualifications:
  • Knowledge of standard ML/AI libraries. For example, Pandas, scikit-learn, TensorFlow/PyTorch/JAX, Kubeflow, etc.
  • Fluency in other programming languages. Much of the cloud-native ecosystem is built in Go; many of our applications include JavaScript-based components.
  • Familiarity with software architecture. We are often tasked with building new systems and designing infrastructure for scale.
  • Proficiency in SQL. Knowledge of SQL is occasionally required for data ingestion and analysis.
 

Job Tags

Contract work, Work experience placement, Remote job, Night shift,

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