Expleo - DevOps Engineer

DevOps Developer is needed in Rochester, United States.

Client: Expleo

Location: Rochester, United States

Contract: Contractor

Job Description:

Trissential is seeking a DevOps Engineer to join our client team in Rochester, MN. This is a remote role and applicants must be eligible to work and live within the United States. The responsibilities of this role include:

• Building, testing, and maintaining the infrastructure and tools for AI software development and release
• Designing, building, and maintaining the ML CI/CD pipeline for data collection, analysis, experimentation, model training, serving, and monitoring
• Achieving continuous delivery of AI software solutions and updates at scale
• Providing direction to junior engineers
• Collaborating with data scientists, engineers, product teams, and stakeholders
• Improving software development and operation processes

Requirements:

• Bachelor’s degree in Computer Science or related field with 7 years of experience, or Master’s degree with 5 years of experience
• Strong DevOps, Data Engineering, and ML background
• Familiarity with data engineering and MLOps best practices
• Experience in building and maintaining CI/CD pipelines
• Proficiency in DevOps tools such as Ansible, Docker, Kubernetes, Jenkins
• Experience deploying and maintaining ML models in production
• Experience with MLOps tools such as ModelDB, MLFlow, Kubeflow
• Familiarity with python tools for data science
• Experience with cloud infrastructure, preferably Google Cloud Platform
• Excellent communication and teamwork skills
• Ability to collaborate effectively with internal business stakeholders, 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, CloudFormation
• Experience with monitoring and logging tools such as Prometheus, Grafana, ELK stack
• 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 machine learning, software development, DevOps, or a combination thereof
• Experience in progressively challenging roles with leadership, project management, and complex system implementation

Domain Expertise:

Deep understanding of machine learning concepts, algorithms, and workflows

Familiarity with various types of machine learning models (supervised learning, unsupervised learning, reinforcement learning)

Experience with real-world machine learning applications, data preprocessing, feature engineering, model selection, evaluation

Knowledge of industry-specific requirements and compliance standards (e.g., GDPR, HIPAA, HITRUST) a plus

Benefits:

Trissential offers a competitive hourly rate up to $83 per hour or up to $153,000 annual salary for this role. Full-time employees are eligible for company-sponsored health benefits, paid time off accrual, and 401k with matching.