Senior Analyst- ML operations
Location: Bengaluru, Chennai, Coimbatore, Gurugram, Hyderabad, Indore, Kochi, Kolkata, Mangaluru, Mumbai, Pune • Level: Senior Level • Openings: 1 • Type: Full-time
Job description
Job Details
Job Title: Senior Analyst
Job Location: Pan India
Work Model: Work from Office
Candidate Expectations
Total Experience and Relevant Experience: 4-6 Years
Candidate Location: Anywhere in India
Skills- ML operations, Artificial intelligence, OIC, Oracle
cloud Infrastructure, Terraform, and CI/CD pipelines
Education and Certification
Qualification: Bachelor’s degree
Detailed Job Description
Key Skills
Configure and maintain secure OCI infrastructure for
analytics and machine learning development, testing,
deployment, and production workloads.
Collaborate with data science colleagues to translate
model architecture, dependencies, data flows, and integration needs into
appropriate cloud infrastructure.
Build reusable, secure, and automated infrastructure
using Terraform and Infrastructure as Code practices.
Establish and troubleshoot connectivity between
analytics workloads and databases, storage, APIs, applications, and downstream
systems.
Support end-to-end model operationalization, including
environment setup, containerization, CI/CD automation, deployment, monitoring,
and production support.
Design and maintain CI/CD pipelines for automated
build, testing, infrastructure provisioning, release, and rollback activities.
Configure and manage OCI IAM, service permissions,
access controls, and security settings using least-privilege principles.
Create reusable templates, scripts, runbooks, and
technical documentation to support consistent, scalable infrastructure and
deployment practices.
Develop Python automation scripts and utilities to
simplify infrastructure, deployment, integration, and operational tasks.
Embrace our vibrant culture by
striving for excellence, focusing on meaningful outcomes, and collaborating
effectively. Take ownership, build relationships, and focus on personal growth to drive business strategy and
foster an inclusive culture, creating unmatched career opportunities and
impactful work.
Strong hands-on experience with
Oracle Cloud Infrastructure (OCI), including compute, networking, storage, and
IAM services.
Proficiency in Terraform and
Infrastructure as Code for automated, reusable infrastructure provisioning.
Hands-on experience with Docker
and container-based deployment of ML and application workloads.
Proficiency in Python for
automation, scripting, and supporting ML pipeline and deployment tasks.
Experience designing and
maintaining CI/CD pipelines for automated build, test, deployment, and
rollback.
Working knowledge of OCI IAM,
security controls, and least-privilege access management.
Mandatory Skills: 4–6
years of experience in Cloud Infrastructure, DevOps, or MLOps; hands-on
experience with Oracle Cloud Infrastructure (OCI), including Compute,
Networking, Storage, and IAM; proficiency in Terraform and Infrastructure as
Code (IaC); experience with Docker, Python scripting and automation, CI/CD
pipeline development, ML model deployment and operationalization, OCI IAM
policies, least-privilege access management, and troubleshooting
infrastructure, networking, APIs, and deployment pipelines; working knowledge
of machine learning concepts, ML lifecycle, and data science workflows.
Good to Have Skills: OCI
DevOps Professional or OCI Architect Associate certification; exposure to
MLflow, Kubeflow, model training, and evaluation; hands-on Linux administration
across RHEL, SLES, and OEL; experience with Git and collaborative source
control workflows; familiarity with Prometheus, Grafana, and OCI Monitoring;
experience integrating ML pipelines with enterprise applications, portals, and
downstream systems; and prior experience supporting Data Science, Analytics, or
Machine Learning teams with infrastructure and deployment requirements.
Job ID: 2075