MLOps Engineer
Salary
Not disclosed
Experience
5-8 Years
Applicants
0
Views
114
MLOps Engineer
We are seeking a skilled MLOps Engineer with 5?8 years of experience in building, deploying, automating, and monitoring machine learning solutions in production environments. The ideal candidate will have expertise in CI/CD pipelines, cloud infrastructure, containerization, model deployment, and monitoring frameworks to ensure secure, scalable, and reliable AI/ML operations. The candidate will collaborate closely with Data Scientists, DevOps Engineers, Cloud Teams, and Business Stakeholders to operationalize machine learning models efficiently.
Key Responsibilities
- Design and implement scalable MLOps pipelines for model training, testing, deployment, and monitoring.
- Automate CI/CD workflows for machine learning applications.
- Manage model versioning, deployment automation, and rollback strategies.
- Build monitoring and alerting systems for model performance and data drift.
- Work with cloud-native AI/ML platforms and container orchestration tools.
- Collaborate with Data Science teams to productionize ML models.
- Ensure security, governance, compliance, and reliability of AI systems.
- Optimize infrastructure for performance, scalability, and cost efficiency.
- Maintain documentation and operational standards for ML workflows.
Requirements
- Mandatory Skills: Strong hands-on experience in Python, Linux, SQL, Shell Scripting.
- Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD), Docker, Kubernetes.
- Knowledge of ML model deployment, model monitoring, API deployment.
- Cloud platform experience: AWS / Azure / GCP.
- Experience with MLflow, Airflow, Terraform.
- Understanding of DevOps and Infrastructure as Code (IaC).
- Strong troubleshooting and automation skills.
- Preferred Skills: Experience with Kubeflow, SageMaker, Azure ML, Vertex AI.
- Knowledge of data drift and model drift monitoring, observability tools (Prometheus, Grafana).
- Exposure to generative AI deployment, LLMOps, feature stores.
- Familiarity with Spark/PySpark.
- Experience in regulated environments like Banking or Healthcare.
- Understanding of security and compliance standards for AI systems.
Work Arrangements
- Full-time position
- Location: Bengaluru, Karnataka, India
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.