
MLOps Engineer
2 weeks ago
Job Title: MLOps Engineer
Work Timing: US EST Hours
Duration: Contract
Experience: 8+ years
Location: India (Remote)
Job Description:
We are seeking an experienced Machine Learning Operations (MLOps) Engineer to join our AI & Machine Learning Platform Team. The ideal candidate will have strong expertise in cloud infrastructure, CI/CD, container orchestration, and ML model deployment. You will work at the intersection of Data Science, Data Engineering, and DevOps, enabling scalable ML solutions and production-grade AI applications.
Key Responsibilities:
- Design and deploy scalable ML infrastructure using cloud and containerization technologies (Azure, Kubernetes, AKS, Docker).
- Collaborate with cross-functional teams to build cloud-hosted, automated pipelines for running, monitoring, and retraining ML models.
- Implement model and pipeline validation procedures with Data Scientists, Data Engineers, and ML Engineers.
- Optimize and refactor development code to ensure seamless production deployments.
- Build and maintain data and feature engineering pipelines to support ML models.
- Define configurations and specifications for automated production environments.
- Develop CI/CD pipelines to enable continuous integration, testing, and deployment of ML models and features.
- Support AI/ML applications and MLOps practices for production-grade deployments.
Required Skills:
- Strong experience with:
- Azure Cloud
- Azure DevOps (CI/CD pipelines)
- Kubernetes & AKS
- Databricks (Data & ML platform)
- Solid understanding of machine learning model deployment into production.
- Hands-on experience with platform engineering and MLOps practices.
Nice-to-Have Skills:
- Experience with ML Infrastructure deployments.
- Exposure to AI applications and advanced MLOps frameworks.
Thanks & Regards:
Kanika Katiyar
Associate Recruiter
FCS Software Solutions Limited
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