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MLOps Engineer
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Hyderabad, Telangana, India Spydra Full timeAbout the RoleWe're looking for an MLOps Engineer to build and operate reliable, secure, and scalable ML/LLM infrastructure—from data ingestion and training pipelines to model serving, monitoring, and continuous improvement. You'll partner with Data Science, Platform, and Security teams to ship models to production with strong SLAs, observability, and cost...
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Hyderabad, Telangana, India Spydra Full timeAbout the RoleWe're looking for an MLOps Engineer to build and operate reliable, secure, and scalable ML/LLM infrastructure—from data ingestion and training pipelines to model serving, monitoring, and continuous improvement. You'll partner with Data Science, Platform, and Security teams to ship models to production with strong SLAs, observability, and cost...
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Hyderabad, Telangana, India Impacteers Full timeRole Overview :As an MLOps Engineer, you will be responsible for bridging the gap between machine learning development and production deployment. You will work closely with data scientists, ML engineers, and IT operations to ensure that ML models are deployed, monitored, and scaled effectively. This role involves both technical skills in cloud...
MLOps Engineer
4 weeks ago
Location: HyderabadExperience: 4–8 YearsApply Now: @.Preferred: Immediate JoinersDomain Preference: HealthcareAbout the Role:We are seeking a highly skilled MLOps Engineer with a strong foundation in DevOps, AWS Cloud, and ML infrastructure . You'll be part of an agile team building scalable AI & Generative AI platforms , modernizing CI/CD pipelines, and managing the end-to-end ML lifecycle in real-world, production-grade environments.Roles & Responsibilities:Design and implement scalable MLOps architectures and workflows on AWSManage full ML model lifecycle: Build, Train, Deploy, Monitor, and RetrainDeploy and manage GenAI/LLM models (OpenAI, Bedrock, Hugging Face)Lead CI/CD pipeline modernization for ML and Data Science teamsBuild modular Terraform stacks for hybrid/multi-cloud environmentsDefine and enforce model governance, versioning, access control, and observabilityIntegrate tools like LangChain, OpenAI APIs, SageMaker, SHAP, LIME, CloudWatchCollaborate across teams (Data Science, DevOps, Security)Apply data privacy, compliance, and security best practices (especially in healthcare)Technical Skills Required5–8 years experience in DevOps / ML Infrastructure , with 3+ years in MLOpsProficient in AWS Cloud : SageMaker, EKS, Lambda, CloudWatch, S3Expert in Python scripting for automation and ML pipeline orchestrationAdvanced skills in Terraform for IaC and modular provisioningExperience deploying LLMs / GenAI (OpenAI, Bedrock, Hugging Face)Familiar with LangChain , RAG pipelines , Vector DatabasesHands-on with ML monitoring tools: SageMaker Model Monitor, MLflow, PrometheusStrong understanding of Docker , Kubernetes , GitOps , and CI/CD tools (Jenkins, GitHub Actions)
