AI/Machine Learning Ops Engineer Contract

V-Soft Consulting is currently hiring for an AI/Machine Learning Ops Engineer for our premier client in Auburn Hills, Michigan.

WHAT YOULL NEED:
Technical Requirements and Certifications

• Relevant certifications. Technical certifications, particularly ones related to DevOps (CKA, CKS, RHCSA, etc.).

Education and Experience

• Proven engineering background. A technical degree in a field such as Computer Science or Data Analytics, and/or equivalent work experience.
• 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.

Preferred Qualifications:

• 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. Use GitHub extensively to develop and deploy code; candidates should be comfortable writing quality PRs, utilizing GitOps, etc.
• Strong command lines skills in *nix environments.
• Excellent understanding of networking and security.
• 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. 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.

WHAT YOULL DO:
Job Responsibilities:

• Enjoys learning across the tech stack, from new developments in DevSecOps and automation to machine learning and artificial intelligence.
• Take pride in their work and derives great satisfaction from building reliable and maintainable infrastructure to support 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.
• Small AI and machine learning team. Build and deploy production applications within the enterprise. This will be working with logistics, operations, sales, etc.
• Have some software engineers who are very comfortable in Python and JavaScript. Want to add another team member who would be fluent in software engineering, but also has an interest and proficiency in DevOps.
• Focus on AI and Machine Learning would be the priority in the experience, but not looking for someone with a specific number of years, but a demonstrated ability to perform.
• They should be comfortable with writing and deploying the applications.
• Someone who can log and monitor the code.

Interested?
Qualified candidates should send their resumes to