Net2Source (N2S) · 6 hours ago
Machine Learning Consultant
Reading, PA
Contract
Onsite
Mid LevelNet2Source (N2S) is seeking a Machine Learning Consultant to provide 24/7 production support for machine learning and data pipelines. This role involves on-call support to ensure the reliability and availability of ML workflows, troubleshooting ML pipelines, and collaborating with data scientists and engineers.
Human ResourcesLogisticsInformation TechnologyB2BDelivery
Responsibilities
Provide L2 support for MLOps production environments, ensuring uptime and reliability
Troubleshoot ML pipelines, data processing jobs, and API issues
Monitor logs, alerts, and performance metrics using Dataiku, Prometheus, Grafana, or AWS tools such CloudWatch
Perform root cause analysis (RCA) and resolve incidents within SLAs
Escalate unresolved issues to L3 engineering teams when needed
Manage Dataiku DSS workflows , troubleshoot job failures, and optimize performance
Monitor and support Dataiku plugins, APIs, and automation scenarios
Collaborate with Data Scientists and Data Engineers to debug ML model deployments
Perform version control and CI/CD integration for Dataiku projects
Support CI/CD pipelines for ML model deployment (Bamboo, Bitbucket etc)
Deploy ML models and data pipelines using Docker, Kubernetes, or Dataiku Flow
Automate monitoring and alerting for ML model drift, data quality, and performance
Monitor AWS-based ML workloads (SageMaker, Lambda, ECS, S3, RDS)
Manage storage and compute resources for ML workflows
Support database connections, data ingestion, and ETL pipelines (SQL, Spark, Kafka)
Ensure secure access control for ML models and data pipelines
Support audit, compliance, and governance for Dataiku and MLOps workflows
Respond to security incidents related to ML models and data access
Rotational on-call support (including weekends and nights)
Shift-based monitoring for ML workflows and Dataiku jobs
Flexible work schedule to handle production incidents and critical ML model failures
Qualification
Required
Provide L2 support for MLOps production environments, ensuring uptime and reliability
Troubleshoot ML pipelines, data processing jobs, and API issues
Monitor logs, alerts, and performance metrics using Dataiku, Prometheus, Grafana, or AWS tools such CloudWatch
Perform root cause analysis (RCA) and resolve incidents within SLAs
Escalate unresolved issues to L3 engineering teams when needed
Manage Dataiku DSS workflows, troubleshoot job failures, and optimize performance
Monitor and support Dataiku plugins, APIs, and automation scenarios
Collaborate with Data Scientists and Data Engineers to debug ML model deployments
Perform version control and CI/CD integration for Dataiku projects
Support CI/CD pipelines for ML model deployment (Bamboo, Bitbucket etc)
Deploy ML models and data pipelines using Docker, Kubernetes, or Dataiku Flow
Automate monitoring and alerting for ML model drift, data quality, and performance
Monitor AWS-based ML workloads (SageMaker, Lambda, ECS, S3, RDS)
Manage storage and compute resources for ML workflows
Support database connections, data ingestion, and ETL pipelines (SQL, Spark, Kafka)
Ensure secure access control for ML models and data pipelines
Support audit, compliance, and governance for Dataiku and MLOps workflows
Respond to security incidents related to ML models and data access
Rotational on-call support (including weekends and nights)
Shift-based monitoring for ML workflows and Dataiku jobs
Flexible work schedule to handle production incidents and critical ML model failures
Company
Net2Source (N2S)
Net2Source (N2S) is a Minority owned global workforce solutions company recognized by SIA as the largest and fastest-growing Total Talent Solutions provider with a presence in 34 countries and in-house Glo-Cal (global and local) teams to support our clients.
Founded in 2007
1001-5000 employees
H1B Sponsorship
Net2Source (N2S) has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (7)
2022 (8)
2021 (10)
2020 (25)
Funding
Current Stage
Late StageLeadership Team
Ashish Garg
Founder & CEO
Company data provided by crunchbase