Senior MLOps Engineer
Salary
Not disclosed
Experience
8-12 Years
Applicants
0
Views
209
Senior MLOps Engineer
We are seeking a Senior MLOps Engineer with 8?12 years of experience in designing enterprise-scale ML infrastructure and operational frameworks. The ideal candidate will have deep expertise in CI/CD automation, cloud-native ML deployment, observability, governance, and scalable AI platform engineering. You will lead MLOps initiatives, establish best practices, and drive automation strategies for secure and compliant AI model lifecycle management.
Key Responsibilities
- Architect and implement enterprise-grade MLOps platforms and deployment frameworks.
- Lead automation of end-to-end ML lifecycle management.
- Define CI/CD and governance standards for AI/ML systems.
- Design scalable infrastructure for model serving and inference.
- Implement advanced monitoring frameworks for model health, drift, latency, and reliability.
- Collaborate with Data Science, Security, and Platform Engineering teams.
- Optimize cloud infrastructure and ML workloads for scalability and performance.
- Mentor junior engineers and establish operational best practices.
- Ensure compliance, auditability, and security of AI deployments.
- Drive adoption of modern MLOps and LLMOps practices.
Requirements
- Strong expertise in Python, Kubernetes, Docker, Terraform, Linux.
- Advanced experience with CI/CD pipelines, Jenkins, GitHub Actions, GitLab CI/CD.
- Experience with MLflow, Kubeflow, Airflow, Model Registry.
- Strong cloud expertise in AWS, Azure, GCP.
- Experience in Model Deployment, Model Monitoring, Drift Detection, Infrastructure Automation.
- Knowledge of Security and compliance frameworks, DevSecOps, Infrastructure as Code.
- Strong leadership and stakeholder management skills.
- Preferred experience with LLMOps, Generative AI deployment, Vector Databases, Feature Stores.
- Expertise in SageMaker, Vertex AI, Azure ML.
- Familiarity with Spark/PySpark, Kafka, Real-time ML systems.
- Exposure to GPU infrastructure management, Distributed model serving.
- Knowledge of Responsible AI and governance frameworks.
- Experience in BFSI, Healthcare, or highly regulated industries.
Work Arrangements
- Full-time position located in Bengaluru, Karnataka, India.
- Remote work details not specified.
Careers at Bootminds
At Bootminds, we help global enterprises launch, scale, and optimize their Global Capability Centers (GCCs) in India with clarity, governance, and impact.
We’re not about volume — we’re about quality outcomes: strategic GCC setup, expansion, and mission
critical staffing that moves the needle.
Who We Are
Bootminds partners with global leaders to turn bold GCC ambitions into high
performance reality — from advisory and execution to building teams that deliver long
term value.
Our approach is transparent, outcome
focused, and grounded in deep GCC expertise.
Who You’ll Work With
You’ll collaborate with:
Enterprise CXOs and GCC leadership teams driving India capability strategy.
High
impact engineering, data, and functional leaders building core teams.
Cross
functional experts in consulting, operations, and talent strategy.
What Sets Us Apart
GCC
First Mindset – We live and breathe capability centre design, launch, and growth — not generic staffing.
Strategic Staffing – We staff with purpose, aligning skills and roles to real GCC outcomes.
Service
centric Culture – Whether advising leaders or partnering with candidates, we bring clarity, accountability, and respect to every interaction.
Why Join Us
Influence the blueprint of GCCs — the way global teams work, scale, and deliver from India.
Work with seasoned experts who’ve built, advised, and scaled capability centres worldwide.
Grow in a culture that values curiosity, ownership, and real impact.
If you want to help global companies build high
performing India capability hubs and love solving hard problems with clarity and grit — you’ll fit right in.