Codvo.ai

MLOps Engineer

Codvo.ai  •  Pune, IN (Onsite)  •  3 months ago
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Job Description

 Company Overview: 

At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day. We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results 


As an MLOps Engineer, you'll design, deploy, and maintain production-grade ML workflows across AWS and Azure using container orchestration, IaC, and CI/CD pipelines. You'll bridge DevOps and ML teams to automate model training, deployment, monitoring, and edge API services—ensuring reliable, scalable AI solutions.

Key Responsibilities:
  • Architect and implement MLOps pipelines for ML model training, versioning, deployment, and monitoring using tools like MLflow, Kubeflow, SageMaker Pipelines, or Azure ML.
  • Build and manage Infrastructure as Code (IaC) with Terraform for multi-cloud environments, including AWS EKS/ECS/Lambda and Azure AKS/Azure Functions.
  • Design containerized applications with Docker and orchestrate them on Kubernetes (EKS/AKS) for high-availability ML inference and edge services.
  • Develop CI/CD pipelines using Azure DevOps (ADO), GitHub Actions, AWS CodePipeline, or Azure Pipelines to automate deployments of Python/FastAPI microservices and Node.js backends.
  • Create and optimize edge API applications (e.g., FastAPI-based services) for low-latency inference on AWS Lambda@Edge, Azure Functions, or ECS Fargate.
  • Implement observability with Prometheus, Grafana, CloudWatch, Azure Monitor, and alerting for ML model drift, performance, and infrastructure health.
  • Collaborate with data scientists and DevOps teams to productionize AI solutions, troubleshoot issues, and scale for high workloads.
  • Write clean, production-ready code in Python, Node.js, and Bash for automation scripts, ETL processes, and API gateways.
Required Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 4+ years of experience in DevOps/MLOps roles, with proven deployments on AWS and Azure.
  • Expertise in:
  • Cloud: AWS (EKS, ECS, Lambda, SageMaker, ECR) and Azure (AKS, Azure ML, Functions)
  • IaC & Orchestration: Terraform, Docker, Kubernetes (EKS/AKS)
  • Pipelines: Azure DevOps (ADO), Jenkins, GitLab CI, or AWS/Azure-native tools
  • Programming: Python (FastAPI, Pandas, Scikit-learn), Node.js
  • ML Ops: Model deployment, versioning, monitoring (e.g., Seldon, KServe)
  • Hands-on experience building edge services and API applications for real-time inference.
  • Strong problem-solving skills in multi-cloud environments.
Preferred Skills:
  • Certifications: AWS Certified Machine Learning – Specialty, Azure AI Engineer Associate, CKA/CKAD, Terraform Associate.
  • Experience with vector databases (Pinecone, FAISS), serverless ML, or GenAI fine-tuning.
  • Knowledge of React.js for dashboarding ML metrics.
Codvo.ai

About Codvo.ai

At Codvo.ai, we specialize in leveraging artificial intelligence, cloud, and data to solve complex business problems and drive innovation. Our passion for innovation drives us to deliver solutions that not only meet but exceed your unique business needs, fostering smarter, more productive teams. Here’s why our approach has earned widespread acclaim from our clients:

67 Customer NPS: Our Net Promoter Score is a testament to the high level of satisfaction and loyalty among our clients. It underscores our ability to deliver quality and value through our specialized services, making us a preferred partner for businesses looking to leverage AI and data for competitive advantage.

78 Employee NPS: The satisfaction and engagement of our team directly influence the quality of service we provide. Our high employee NPS signifies a motivated, dedicated team that's committed to excellence. This positive work culture ensures that we can deliver exceptional AI-first engineering and enterprise data application services to you.

Our approach goes beyond traditional software development; we're dedicated to partnering with you to harness the power of AI and data. The combination of our high trial and engagement success rates, extensive experience, and positive feedback from both clients and employees positions us as more than just a service provider. We're your trusted ally in navigating the complexities of today's digital landscape, committed to transforming your vision into a reality with cutting-edge AI and data solutions.

Industry
IT & Software
Company Size
51-200 employees
Headquarters
Plano, Texas
Year Founded
2019
Website
codvo.ai
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