Job Details

Home

MLOps Engineer (L2 Support, On-Call & Weekend Support) || Reading, PA (Onsite) || Long Term Contract at Reading, Vermont, USA

Email: ajays@net2source.com

https://shorturl.at/zCvmO
https://jobs.nvoids.com/job_details.jsp?id=2339555&uid=

Only Local / Near to

Reading, PA under 50 miles with Local DL

|| Need Only H1B H4/L2

Please mention Visa status and Current location while sharing resume

Job Title- MLOps

L2 Support Engineer (On-Call & Weekend Support)

Location:

Reading, PA (Onsite)

Type: : Long Term Contract

Job Summary:

MLOps L2 Support Engineer to provide 24/7 production support for machine learning (ML) and data pipelines. The role requires on-call support, including weekends, to ensure high
availability and reliability of ML workflows. The candidate will work with Dataiku, AWS, CI/CD pipelines, and containerized deployments to maintain and troubleshoot ML models in production.

Work Schedule & On-Call Requirements:

           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.

Key Responsibilities:

Incident Management & Support:

           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.

Dataiku Platform Management:

           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.

Deployment & Automation:

           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.

Cloud & Infrastructure Support:

           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).

Security & Compliance:

           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.

Required Skills & Experience:

Experience: 5+ years in MLOps, Data Engineering, or Production Support.

Dataiku DSS: Strong experience in Dataiku workflows, scenarios, plugins, and APIs.

Cloud Platforms: Hands-on experience with AWS ML services (SageMaker, Lambda, S3, RDS, ECS, IAM).

CI/CD & Automation: Familiarity with GitHub Actions, Jenkins, or Terraform.

Scripting & Debugging: Proficiency in Python, Bash, SQL for automation & debugging.

Monitoring & Logging: Experience with Prometheus, Grafana, CloudWatch, or ELK Stack.

Incident Response: Ability to handle on-call support, weekend shifts, and SLA-based issue resolution.

Preferred Qualifications:

Containerization: Experience with Docker, Kubernetes, or OpenShift.

ML Model Deployment: Familiarity with TensorFlow Serving, MLflow, or Dataiku Model API.

Data Engineering: Experience with Spark, Databricks, Kafka, or Snowflake.

ITIL/DevOps Certifications: ITIL Foundation, AWS ML certifications; Dataiku certification

Your sincerely
,

Ajay Sharma | Sr. Technical Recruiter.

Net
2Source Inc.

Fax: (201) 221-8131
| Email:
ajays@net2source.com

Global HQ Address: 270 Davidson Ave, Suite 704, Somerset, NJ 08873, USA

Web:
www.net2source.com

Social:
Facebook

Twitter
|
LinkedIn

--

Keywords: continuous integration continuous deployment machine learning sthree information technology New Jersey Pennsylvania
MLOps Engineer (L2 Support, On-Call & Weekend Support) || Reading, PA (Onsite) || Long Term Contract
ajays@net2source.com
https://shorturl.at/zCvmO
https://jobs.nvoids.com/job_details.jsp?id=2339555&uid=

ajays@net2source.com
View All

07:14 PM 14-Apr-25

To remove this job post send "job_kill 2339555" as subject from ajays@net2source.com to usjobs@nvoids.com. Do not write anything extra in the subject line as this is a automatic system which will not work otherwise.

Your reply to ajays@net2source.com -

To

Subject
Message -

ajays@net2source.com wrote:
Only Local / Near to

Reading, PA under 50 miles with Local DL

|| Need Only H1B H4/L2

Please mention Visa status and Current location while sharing resume

Job Title- MLOps

L2 Support Engineer (On-Call & Weekend Support)

Location:

Reading, PA (Onsite)

Type: : Long Term Contract

Job Summary:

MLOps L2 Support Engineer to provide 24/7 production support for machine learning (ML) and data pipelines. The role requires on-call support, including weekends, to ensure high
 availability and reliability of ML workflows. The candidate will work with Dataiku, AWS, CI/CD pipelines, and containerized deployments to maintain and troubleshoot ML models in production.

Work Schedule & On-Call Requirements:

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.

Key Responsibilities:

Incident Management & Support:

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.

Dataiku Platform Management:

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.

Deployment & Automation:

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.

Cloud & Infrastructure Support:

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).

Security & Compliance:

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.

Required Skills & Experience:

Experience: 5+ years in MLOps, Data Engineering, or Production Support.

Dataiku DSS: Strong experience in Dataiku workflows, scenarios, plugins, and APIs.

Cloud Platforms: Hands-on experience with AWS ML services (SageMaker, Lambda, S3, RDS, ECS, IAM).

CI/CD & Automation: Familiarity with GitHub Actions, Jenkins, or Terraform.

Scripting & Debugging: Proficiency in Python, Bash, SQL for automation & debugging.

Monitoring & Logging: Experience with Prometheus, Grafana, CloudWatch, or ELK Stack.

Incident Response: Ability to handle on-call support, weekend shifts, and SLA-based issue resolution.

Preferred Qualifications:

Containerization: Experience with Docker, Kubernetes, or OpenShift.

ML Model Deployment: Familiarity with TensorFlow Serving, MLflow, or Dataiku Model API.

Data Engineering: Experience with Spark, Databricks, Kafka, or Snowflake.

ITIL/DevOps Certifications: ITIL Foundation, AWS ML certifications; Dataiku certification

Your sincerely
,

Ajay Sharma | Sr. Technical Recruiter.

Net
2Source Inc.

Fax: (201) 221-8131 
| Email: 
ajays@net2source.com

Global HQ Address: 270 Davidson Ave, Suite 704, Somerset, NJ 08873, USA

Web: 
www.net2source.com

Social: 
Facebook

Twitter 
|
LinkedIn

Keywords: continuous integration continuous deployment machine learning sthree information technology New Jersey Pennsylvania 
MLOps Engineer (L2 Support, On-Call & Weekend Support) || Reading, PA (Onsite) || Long Term Contract
ajays@net2source.com

Your email id:

Captcha Image:

Captcha Code:

Pages not loading, taking too much time to load, server timeout or unavailable, or any other issues please contact admin at me@nvoids.com

Time Taken: 1

Location: ,