Senior MLOps Engineer: SageMaker & GenAI Platform Lead

N-iX; Georgia; Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

Flexible remote work

Mentorship program

Tech talks and trainings

Job summary

N-iX is seeking a Senior MLOps Engineer to lead data & AI platform delivery for a major telecommunications client. You will build and operationalize end-to-end MLOps pipelines using SageMaker, Bedrock, and MLflow, while implementing GPU-optimized training and real-time inference in a hybrid cloud setting.

Collaborating with Data Engineering, AI Architects, and Cloud Teams, you will drive CI/CD for ML, enforce security with FPE, and establish governance and disaster recovery playbooks.

Qualifications

• 4+ years hands-on experience in MLOps, DataOps, or Platform Engineering focusing on Amazon SageMaker (Pipelines, Feature Store, Model Registry, Endpoints).
• Proven experience deploying and operating Generative AI/LLM models and Amazon Bedrock services.
• Hands-on expertise with MLflow for experiment tracking, model registry, and lifecycle management.
• Strong experience with GPU optimization and orchestration (NVIDIA A100/L40S, AWS EC2 GPU) for training and low-latency inference.
• Proficient in building CI/CD for ML (GitLab CI/CD, GitHub Actions) and IaC (Terraform or AWS CDK).
• Practical knowledge of LLMOps / AgentOps tools (AgentCore, prompt evaluations, Bedrock Guardrails) and RAG pipelines.
• Security/privacy/tokenization (FPE) in ML pipelines.
• Proficient in Python, PySpark, Docker, and Kubernetes/EKS for containerized ML workloads.

Responsibilities

• Build and operationalize end-to-end MLOps pipelines using SageMaker Pipelines and MLflow.
• Design and manage production SageMaker endpoints and Bedrock integrations with cost controls.
• Implement AgentOps/LLMOps frameworks for multi-agent orchestration and RAG pipelines.
• Operationalize real-time STT/TTS voicebot pipelines on hybrid/cloud GPU node pools.
• Optimize GPU node pools for Azerbaijani SLM/SLM training and scalable inference.
• Establish CI/CD for ML and IaC to enforce secure promotion workflows.
• Integrate data de-identification and tokenization like FPE in ML pipelines.
• Set up telemetry, monitoring, and cost anomaly alerts for AI/ML workloads.

Skills

Analytical thinking

Communication

Ownership

Tools

Amazon SageMaker

Amazon Bedrock

MLflow

GitLab CI/CD

Terraform

AWS CDK

Docker

Kubernetes

Python

PySpark

Job description

N-iX is seeking a Senior MLOps Engineer to lead data & AI platform delivery for a major telecommunications client. You will build and operationalize end-to-end MLOps pipelines using SageMaker, Bedrock, and MLflow, while implementing GPU-optimized training and real-time inference in a hybrid cloud setting.

Collaborating with Data Engineering, AI Architects, and Cloud Teams, you will drive CI/CD for ML, enforce security with FPE, and establish governance and disaster recovery playbooks.