Senior AI Infrastructure Automation Specialist

24 hours ago


delhi, India beBeeMLOps Full time

Job Title: Senior MLOps Platform EngineerAbout the Role:We are seeking a skilled and experienced Senior MLOps Platform Engineer to join our team. The ideal candidate will be responsible for architecting, automating, and optimizing large-scale Data & ML pipelines on AWS, while ensuring performance, scalability, and reliability across the infrastructure.Key Responsibilities:Build and maintain systems using DevOps & LLM Ops tools (Kubernetes, Docker, Terraform, AWS, Python).Architect and implement AWS-based scalable infrastructure (Lambda, EC2, Docker, Networking, Monitoring, etc.).Design and automate Data & ML pipelines with CI/CD and deployment best practices.Implement observability solutions using Prometheus, Loki, Grafana, or Datadog.Conduct POCs for new solutions and continuously improve existing architectures.Collaborate with Product, Data, and Executive teams to address infrastructure and data challenges.Drive code reviews and mentor junior engineers.Requirements:Qualifications:Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or related field.5–7+ years of experience in AI/ML development or production-level MLOps systems.Skills:7+ years of experience in Software / DevOps Engineering with strong Python, SQL, and Pandas skill.Hands-on experience with AWS (Lambda, EC2, EMR, S3, Glue, Athena, RDS, IAM, Batch, Sagemaker, Airflow).Expertise in Terraform, Kubernetes, Docker, GitHub Actions, Jenkins, or CodePipeline.Experience in CI/CD pipelines and working with API.Familiarity with Relational & NoSQL databases (Snowflake preferred).Exposure to Kubeflow or MLflow is an added advantage.Note: Immediate joiners only.



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