Apply for Senior AI Engineer

We’re looking for a Senior AI Engineer / Machine Learning Engineer to build and deploy production-grade AI/ML solutions across modern cloud and enterprise environments.

What You’ll Work On

Design, develop, train, evaluate, and deploy ML/AI models

Build end-to-end ML pipelines and MLOps workflows

Develop Generative AI, LLM, RAG, and AI-powered applications

Work with LLM APIs, prompt engineering, embeddings, and vector databases

Deploy ML workloads across AWS, Azure, or GCP

Build scalable solutions using Docker and Kubernetes

Implement model monitoring, versioning, CI/CD, and automation

Optimize models and inference systems for scalability, performance, and cost

Apply AI security, governance, and responsible AI practices

Required Experience

Strong hands-on experience with Python and SQL

Experience with PyTorch, TensorFlow, Scikit-learn, XGBoost, or similar frameworks

Production experience deploying and operating ML models

Strong understanding of the complete ML lifecycle

Experience with Generative AI and LLMs

Hands-on experience with RAG, embeddings, vector databases, and LLM APIs

Experience with cloud ML platforms such as AWS SageMaker, Azure ML, or Google Vertex AI

Experience with ML pipelines, automation, Docker, and Kubernetes

Preferred Experience

MLflow / Kubeflow

LangChain / LlamaIndex

Pinecone / Weaviate / FAISS / OpenSearch

Enterprise AI/ML applications

MLOps and ML model versioning

AI security, governance, and responsible AI

Large-scale ML inference and performance optimization

Ideal Candidate

We’re looking for someone who can bridge ML engineering and production engineering—someone who can take an AI/ML solution from data and experimentation all the way through deployment, monitoring, scaling, and optimization.