DevOps Engineer

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 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: Build, test and maintain the infrastructure and tools to facilitate the consistent and automated AI software solution development and release process.
Design, build and maintain the ML CI/CD pipeline that automates data collection, data analysis, experimentation, model training, model serving and monitoring in production.
Achieve continuous delivery of AI software solution and updates to production at scale.
Provide direction to more junior engineers.
Collaborate with data scientists, engineers, product teams and other key stakeholders.
Actively seek ways to improve software development and operation process.
Qualifications: Bachelor’s degree in Computer Science or a related field with 7 years of experience.
Or Master’s degree in Computer Science or a related field with 5 years of experience.
Strong DevOps, Data Engineering and ML background.
Familiar with best practices in the data engineering and MLOps community.
Experience building and maintaining CI/CD pipelines.
Demonstrated experience on a broad range of DevOps tools such as Ansible, Docker, Kubernetes, Jenkins etc.
Experience building, deploying and maintaining ML models in production.
Experience with MLOps tools such as ModelDB, MLFlow and Kubeflow.
Familiarity with python tools for data science.
Experience with cloud infrastructure.
Experience with Google Cloud Platform a plus.
Excellent communication and teamwork skills.
Ability to collaborate effectively with internal business stakeholders, outside partners and technology teams.
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 $83 per hour or up to $153,000 annual salary.
All full time employees are eligible for company sponsored health benefits, paid time away from work accrual, and 401k with matching.