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DevOps/MLOps Engineer

4 weeks ago

Gurugram, India Aaizel International Technologies Pvt Ltd Full time

Job Title:
DevOps/MLOps Expert

Location:
Gurugram (On-Site)

Employment Type:
Full-Time (Immediate Joiner)

Experience:
6 + years
(On Premises Server/Clouse Experience is must)

Qualification:
B.Tech CSE

About the Role

We are seeking a highly skilled DevOps/MLOps Expert to join our rapidly growing AI-based startup building and deploying cutting-edge enterprise AI/ML solutions. This is a critical role that will shape our infrastructure, deployment pipelines, and scale our ML operations to serve large-scale enterprise clients.

As our DevOps/MLOps Expert, you will be responsible for bridging the gap between our AI/ML development teams and production systems, ensuring seamless deployment, monitoring, and scaling of our ML-powered enterprise applications. You'll work at the intersection of DevOps, Machine Learning, and Data Engineering in a fast-paced startup environment with enterprise-grade requirements.

Key Responsibilities

MLOps & Model Deployment


• Design, implement, and maintain end-to-end ML pipelines from model development to production deployment


• Build automated CI/CD pipelines specifically for ML models using tools like MLflow, Kubeflow, and custom solutions


• Implement model versioning, experiment tracking, and model registry systems


• Monitor model performance, detect drift, and implement automated retraining pipelines


• Manage feature stores and data pipelines for real-time and batch inference


• Build scalable ML infrastructure for high-volume data processing and analytics

Enterprise Cloud Infrastructure & DevOps


• Architect and manage cloud-native infrastructure with focus on scalability, security, and compliance


• Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, or Pulumi


• Design and maintain Kubernetes clusters for containerized ML workloads


• Build and optimize Docker containers for ML applications and microservices


• Implement comprehensive monitoring, logging, and alerting systems


• Manage secrets, security, and enterprise compliance requirements

Data Engineering & Real-time Processing


• Build and maintain large-scale data pipelines using Apache Airflow, Prefect, or similar tools


• Implement real-time data processing and streaming architectures


• Design data storage solutions for structured and unstructured data at scale


• Implement data validation, quality checks, and lineage tracking


• Manage data security, privacy, and enterprise compliance requirements


• Optimize data processing for performance and cost efficiency

Enterprise Platform Operations


• Ensure high availability (99.9%+) and performance of enterprise-grade platforms


• Implement auto-scaling solutions for variable ML workloads


• Manage multi-tenant architecture and data isolation


• Optimize resource utilization and cost management across environments


• Implement disaster recovery and backup strategies


• Build 24x7 monitoring and alerting systems for mission-critical applications

Required Qualifications

Experience & Education


• 4-8 years of experience in DevOps/MLOps with at least 2+ years focused on enterprise ML systems


• Bachelor's/Master's degree in Computer Science, Engineering, or related technical field


• Proven experience with enterprise-grade platforms or large-scale SaaS applications


• Experience with high-compliance environments and enterprise security requirements


• Strong background in data-intensive applications and real-time processing systems

Technical Skills

Core MLOps Technologies


• ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost


• MLOps Tools: MLflow, Kubeflow, Metaflow, DVC, Weights & Biases


• Model Serving: TensorFlow Serving, PyTorch TorchServe, Seldon Core, KFServing


• Experiment Tracking: MLflow, , Weights & Biases, Comet

DevOps & Cloud Technologies


• Cloud Platforms: AWS, Azure, or GCP with relevant certifications


• Containerization: Docker, Kubernetes (CKA/CKAD preferred)


• CI/CD: Jenkins, GitLab CI, GitHub Actions, CircleCI


• IaC: Terraform, CloudFormation, Pulumi, Ansible


• Monitoring: Prometheus, Grafana, ELK Stack, Datadog, New Relic

Programming & Scripting


• Python (advanced) - primary language for ML operations and automation


• Bash/Shell scripting for automation and system administration


• YAML/JSON for configuration management and APIs


• SQL for data operations and analytics


• Basic understanding of Go or Java (advantage)

Data Technologies


• Data Pipeline Tools: Apache Airflow, Prefect, Dagster, Apache NiFi


• Streaming & Real-time: Apache Kafka, Apache Spark, Apache Flink, Redis


• Databases: PostgreSQL, MongoDB, Elasticsearch, ClickHouse


• Data Warehousing: Snowflake, BigQuery, Redshift, Databricks


• Data Versioning: DVC, LakeFS, Pachyderm

Preferred Qualifications

Advanced Technical Skills


• Enterprise Security: Experience with enterprise security frameworks, compliance (SOC2, ISO27001)


• High-scale Processing: Experience with petabyte-scale data processing and real-time analytics


• Performance Optimization: Advanced system optimization, distributed computing, caching strategies


• API Development: REST/GraphQL APIs, microservices architecture, API gateways

Enterprise & Domain Experience


• Previous experience with enterprise clients or B2B SaaS platforms


• Experience with compliance-heavy industries (finance, healthcare, government)


• Understanding of data privacy regulations (GDPR, SOX, HIPAA)


• Experience with multi-tenant enterprise architectures

Leadership & Collaboration


• Experience mentoring junior engineers and technical team leadership


• Strong collaboration with data science teams, product managers, and enterprise clients


• Experience with agile methodologies and enterprise project management


• Understanding of business metrics, SLAs, and enterprise ROI

Growth Opportunities


• Career Path: Clear progression to Lead DevOps Engineer or Head of Infrastructure


• Technical Growth: Work with cutting-edge enterprise AI/ML technologies


• Leadership: Opportunity to build and lead the DevOps/Infrastructure team


• Industry Exposure: Work with Government & MNCs enterprise clients and cutting-edge technology stacks

Success Metrics & KPIs

Technical KPIs


• System Uptime: Maintain 99.9%+ availability for enterprise clients


• Deployment Frequency: Enable daily deployments with zero downtime


• Performance: Ensure optimal response times and system performance


• Cost Optimization: Achieve 20-30% annual infrastructure cost reduction


• Security: Zero security incidents and full compliance adherence

Business Impact


• Time to Market: Reduce deployment cycles and improve development velocity


• Client Satisfaction: Maintain 95%+ enterprise client satisfaction scores


• Team Productivity: Improve engineering team efficiency by 40%+


• Scalability: Support rapid client base growth without infrastructure constraints

Why Join Us

  • Be part of a forward-thinking, innovation-driven company with a strong engineering culture.
  • Influence high-impact architectural decisions that shape mission-critical systems.
  • Work with cutting-edge technologies and a passionate team of professionals.
  • Competitive compensation, flexible working environment, and continuous learning opportunities.

How to Apply

Please submit your resume and a cover letter outlining your relevant experience and how you can contribute to Aaizel Tech Labs' success. Send your application to , or