Jobs → Engineering → MLOps / AI Platform Engineer

About the Role We are looking for an AI Platform Engineer to join a leading Life Science Project. This role focuses on building and managing scalable AI infrastructure with hands-on experience in MLOps, AI/ML Platform Engineering, and related technologies. Key Responsibilities • Build and manage scalable AI infrastructure • Implement MLOps practices and tools • Design and maintain CI/CD pipelines • Work with Kubernetes, Docker, and Helm • Develop and deploy ML/LLM frameworks Requirements • 3–5 years of experience in MLOps, AI/ML, or Platform Engineering • Strong hands-on experience with Python • Experience with MLOps tools: MLflow, Kubeflow, SageMaker, Vertex AI, or equivalent • Kubernetes (EKS/GKE/AKS/OpenShift), Docker, and Helm • CI/CD pipelines (GitLab CI, Jenkins, GitHub Actions) and GitOps (ArgoCD/Flux) • Infrastructure as Code (Terraform) • Cloud platforms: AWS, Azure, or GCP • Monitoring and Logging: Prometheus, Grafana, CloudWatch, ELK, or similar • Cloud Security: IAM, Secrets Management, and Encryption • ML/LLM frameworks: PyTorch, TensorFlow, HuggingFace, LangChain, or LlamaIndex • Exposure to RAG, Embeddings, and Vector Search • Familiarity with Agentic AI frameworks such as LangGraph, CrewAI, or PydanticAI