DevOps Engineer, AI Infrastructure

Overview: Trissential is a trusted partner for end-to-end quality services and management consulting.
As a part of our parent company Expleo, we have a footprint in 30+ countries.
Our Mission is to have a positive impact on every person who interacts with Trissential.
Clients love us because we are service focused.
Employees love us because they are valued and cared for.
Trissential is currently seeking a DevOps Engineer, AI Infrastructure to join our client team in Rochester, MN.
This position is a Remote role and only open to candidates who are eligible to work in the US and live/work within the United States.
Responsibilities: Architect and Build Scalable Infrastructure: Collaborate with cross-functional teams (including data scientists, engineers, and product teams) to design, build, and maintain robust infrastructure that supports AI software development.
Develop scalable solutions that enable consistent and automated deployment of AI models.
ML CI/CD Pipeline Ownership: Create and manage the end-to-end ML CI/CD pipeline.
Automate data collection, analysis, experimentation, model training, serving, and monitoring.
Ensure seamless integration with production systems.
Continuous Delivery Excellence: Champion continuous delivery practices for AI solutions.
Drive efficient and reliable software releases to production.
Monitor performance and optimize delivery processes.
Technical Leadership: Provide mentorship and guidance to junior engineers.
Foster a collaborative environment where knowledge sharing and growth thrive.
Collaboration Across Teams: Work closely with data scientists, engineers, and product teams.
Translate business requirements into technical solutions.
Contribute to a cohesive and agile development process.
Innovation and Process Improvement: Stay abreast of industry trends and emerging technologies.
Propose and implement process improvements to enhance software development and operations.
Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Proven experience in building and maintaining AI infrastructure.
Strong proficiency in CI/CD pipelines, containerization (e.
g.
, Docker, Kubernetes), and cloud platforms (e.
g.
, AWS, GCP, Azure).
Excellent communication skills and ability to collaborate effectively with diverse teams.
Passion for driving innovation and optimizing software development processes.
Skills: Technical Skills: Proficiency in programming languages such as Python, R, or Scala.
In-depth knowledge of machine learning frameworks and libraries (e.
g.
, TensorFlow, PyTorch, scikit-learn).
Strong understanding of DevOps principles and practices.
Knowledge of infrastructure as code (IaC) tools like Ansible, Terraform, or CloudFormation.
Experience with monitoring and logging tools such as Prometheus, Grafana, ELK stack (Elasticsearch, Logstash, Kibana), or similar.
Understanding of networking, security, and data management principles.
Ability to work with big data technologies (e.
g.
, Hadoop, Spark, Kafka).
Strong problem-solving and troubleshooting skills.
Experience: 5-7 years of relevant experience in roles involving machine learning, software development, DevOps, or a combination thereof.
Experience in progressively challenging roles with demonstrated leadership, project management, and the ability to architect and implement complex systems.
Domain Expertise: Deep understanding of machine learning concepts, algorithms, and workflows.
Familiarity with various types of machine learning models (e.
g.
, supervised learning, unsupervised learning, reinforcement learning).
Experience with real-world machine learning applications and challenges, including data preprocessing, feature engineering, model selection, and evaluation.
Knowledge of industry-specific requirements and compliance standards (e.
g.
, GDPR, HIPAA, HITRUST) a plus.
Benefits: Trissential offers a competitive hourly rate for this role up to $87 per hour.
All full time employees are eligible for company sponsored health benefits, paid time away from work accrual, and 401k with matching.