Consultant Senior MLOPS Engineer
Core
Designing, industrializing, and supervising large-scale machine learning model deployments to ensure robustness, scalability, and reliability for client solutions.
Role type
Senior MLOps Consultant
Builds
Production ML/DL pipelines, cloud/on-premise AI environments, and automated monitoring workflows.
Domain
Data & AI consulting, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, Spark, Bash, Git, Docker, Kubernetes, Terraform, Ansible, Helm, MLflow, Kubeflow, Airflow, DVC, W&B, Prometheus, Grafana, ELK, SQL, NoSQL, Data Science concepts
Preferred skills
Leadership for junior teams, Agile methodology, Technical communication, Ethical AI principles
Technologies
AWS Sagemaker, Azure ML, GCP Vertex AI, Databricks, Snowflake, GitLab CI/Jenkins, EvidentlyAI, Fiddler, Arize AI, Delta Lake
Responsibilities
Design and implement CI/CD pipelines for ML/DL models; Deploy and maintain production AI environments on cloud or on-premise; Implement monitoring and alerting solutions for performance and data drift; Standardize and automate ML workflows; Collaborate with data scientists and engineers to ensure model quality; Participate in pre-sales technical responses and client presentations.
Seniority
Senior, hands-on IC with mentorship
