Overview
On Site
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
Docker
Kubernetes
ML
AI
MLops
Gen AI
FastAPI
Job Details
- 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 Google Cloud Platform
- 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 Google Cloud Platform Google AutoML Vertex AI Build tools
Skills
Mandatory Skills : MLOPS,GenAI - LLMOps,Python - Data Science,Machine Learning - AIOPS,Deep Learning - AIOPS
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