AI/ML ENGINEER
AI/ML ENGINEER
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Salary Not Disclosed
1 Vacancy
Job Description
3 MS Teams interviews
JOB DESCRIPTION :
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
RESPONSIBILITIES:
- 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 end-to-end 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 CI/CD practices.
- Experience working with large-scale 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 open-source Large Language Models (LLMs).
- Experience building AI/ML products using technologies such as LLMs neural networks and others.
- Experience in building AI/ML 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.
Is this an onsite role 3 days/week ONSITE in Scottsdale AZ or Dallas TX
Is a credit check required Yes!!!
Is a drug screen required No
Is US citizenship required No
Are green card and H-1 Visa holders acceptable GC & H1B acceptable
Employment Type
Full Time
