AIML Engineer

• Design and implement scalable MLOps supportive data pipelines for data ingestion processing and storage

• Experience deploying models with MLOps tools such as Vertex Pipelines Kubeflow or similar platforms
• Experience implementing and supporting endtoend Machine Learning workflows and patterns
• Expert level programming skills in Python and experience with Data Science and ML packages and frameworks
• Proficiency with containerization technologies Docker Kubernetes and CICD practices
• Experience working with largescale machine learning frameworks such as TensorFlow Caffe2 PyTorch Spark ML or related frameworks
• Experience and knowledge in the most recent advancements in Gen AI including Gemini OpenAI Claud and exposure to opensource Large Language Models LLMs
• Experience building AIML products using technologies such as LLMs neural networks and others
• Experience in building AIML Apps using Flask or FastAPI
• Experience with RAG and Supervised Tuning techniques
• Strong distributed systems skills and knowledge
• Development experience of at least one public cloud provider Preferably GCP
• Excellent analytical written and verbal communication skills
• Tech Stack Python SQL Docker Kubernetes FastAPI Flask MLOps Machine Learning LLMs LangChain or similar orchestrator Vector DB or similar GCP Google AutoML Vertex AI Build tools

Mandatory Skills : MLOPS,GenAI - LLMOps,Python - Data Science,Machine Learning - AIOPS,Deep Learning - AIOPS