Hello,

Greetings from ZettaMine Labs Pvt Ltd!!

We are looking for Senior Platform Engineer – Dataiku & ModelOps with project opportunities.

Job Role: Senior Platform Engineer – Dataiku & ModelOps

Location: Bangalore

Experience: 7+ Years

Interview Mode: Face to Face

Relevant Experience: Minimum 3 Years of hands-on Dataiku administration experience with strong Platform Engineering, DevOps, and ModelOps/MLOps experience

Mandatory: Dataiku DSS + Dataiku Administration + ModelOps/MLOps + Linux + Python + CI/CD + Git + Cloud (Azure/AWS/GCP) + Kubernetes + Model Deployment & Monitoring + Automation

REQUIREMENT FOR SENIOR PLATFORM ENGINEER – DATAIKU & MODELOPS:

Key Responsibilities:

- Own end-to-end administration of Dataiku DSS environments , including installation, upgrades, patching, backups, and restores.
- Manage hub-and-spoke or multi-instance Dataiku architectures .
- Troubleshoot and resolve performance, infrastructure, and platform stability issues .
- Implement security best practices including user access control, secrets management, and vulnerability remediation .
- Plan and execute capacity management, scaling, and disaster recovery strategies.
- Design and support model deployment pipelines using Dataiku Automation, APIs, and CI/CD tools.
- Enable model versioning, promotion, rollback, and lifecycle management across environments.
- Implement model monitoring , including performance drift, data drift, and operational health.
- Partner with data scientists to productionize ML workflows using ModelOps/MLOps best practices .
- Define and document SOPs for model deployment and operations .
- Administer Dataiku on Linux-based environments across cloud platforms.




- Work with containers and Kubernetes for scalable and resilient deployments.
- Build automation using Python, Bash, Ansible, and/or Terraform .
- Integrate Dataiku with enterprise tools such as Git, CI/CD pipelines, Grafana/Prometheus, and ServiceNow .
- Administer and support Dataiku integrations with enterprise databases, preferably Snowflake .
- Troubleshoot query performance, concurrency, and cost-related issues arising from Dataiku workloads on Snowflake.
- Act as the primary platform contact for Dataiku and provide platform support.
- Participate in incident response, troubleshooting, and Root Cause Analysis (RCA) .
- Mentor junior engineers to enable effective L1/L2 support .
- Work closely with vendors during transition phases and drive in-house ownership of the platform .

Who Can Apply? ✔️ 7+ years of experience in Platform Engineering, Data Platform Administration, or DevOps.

✔️ Minimum 3+ years of hands-on Dataiku administration experience .

✔️ Strong experience with Linux system administration .

✔️ Robust hands-on experience with Python scripting .

✔️ Experience with CI/CD pipelines and Git-based workflows .

✔️ Hands-on experience with Azure, AWS, or GCP .

✔️ Hands-on experience implementing ModelOps/MLOps concepts , including model deployment and monitoring.

✔️ Familiarity with Kubernetes and containerized workloads .

✔️ Strong troubleshooting,



analytical, and problem-solving skills.

✔️ Bachelor's degree in Computer Science Engineering or related field .

Good to Have:

- Dataiku certifications such as Core Designer, Advanced Designer, or ML Practitioner.
- Experience supporting enterprise-scale ML platforms .
- Knowledge of Grafana and Prometheus .
- Experience with Terraform or Ansible .
- Experience transitioning platforms from vendor-managed to in-house support .
- Experience with Snowflake integration and support .
- Knowledge of platform security, capacity management, and disaster recovery.

What Success Looks Like in This Role: ✔️ Dataiku platform operates stably, securely, and cost-effectively with minimal external dependency.

✔️ ML models move from development to production faster and more reliably .

✔️ Clear ModelOps standards and automation are established.

✔️ Data scientists spend more time on modeling and less time resolving platform issues.

Please share the following details along with your updated resume:

Full Name:

Contact Number:

Current Location:

Total Experience:

Relevant Experience in Dataiku:

Dataiku Administration Experience:

ModelOps/MLOps Experience:

Linux Experience:

Python Experience:

Cloud Experience (Azure/AWS/GCP):

Kubernetes Experience:

CI/CD & Git Experience:

Terraform/Ansible Experience:

Snowflake Experience:

Monitoring Tools (Grafana/Prometheus):

Dataiku Certification:

Current Company:

Notice Period:

Current CTC:

Expected CTC:

For any further clarification, feel free to reach out at [email protected] or (phone hidden).

We look forward to connecting with you!

Thanks & Regards

TAG Team

📌 [2CCQTI] Senior Platform Engineer _Dataiku & ModelOpsF Interview] (Bengaluru)
🏢 ZettaMine Labs
📍 Bengaluru