Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Menlo Park, CA, United States
Posted
2 days ago
DockerSQLAWSMLOpsMachine LearningNLPScikit-learnAzureComputer VisionDeep LearningGenerative AIGoogle CloudKerasKubernetesPyTorchPythonTensorFlow
Job Description
Hi
Our client is looking for a OR Expert (AI/ML) Engineer project in Menlo Park, CA below is the detailed requirement.
Job positing Title: OR Expert (AI/ML) Engineer
Location: Menlo Park, CA
Location: Menlo Park, CA
Required Skills : Python,AI/ML,Scikit-learn, TensorFlow, PyTorch, Keras
Job description:
We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions. The ideal candidate will have experience in building predictive models, developing AI-driven applications, and implementing scalable ML pipelines to solve complex business problems.
Key
Key
• Bachelor’s degree in related field
• Strong programming skills in Python.
• Experience with Machine Learning libraries such as Scikit-learn, TensorFlow, PyTorch, Keras.
• Knowledge of Deep Learning, Neural Networks, NLP, Computer Vision, and Generative AI.
• Experience with LLMs, RAG (Retrieval-Augmented Generation), Prompt Engineering, Vector Databases.
• Hands-on experience with SQL, NoSQL databases, and data processing frameworks.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience with Docker, Kubernetes, CI/CD, and MLOps tools.
• Understanding of statistics, data modeling, and model evaluation techniques.
• Strong programming skills in Python.
• Experience with Machine Learning libraries such as Scikit-learn, TensorFlow, PyTorch, Keras.
• Knowledge of Deep Learning, Neural Networks, NLP, Computer Vision, and Generative AI.
• Experience with LLMs, RAG (Retrieval-Augmented Generation), Prompt Engineering, Vector Databases.
• Hands-on experience with SQL, NoSQL databases, and data processing frameworks.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience with Docker, Kubernetes, CI/CD, and MLOps tools.
• Understanding of statistics, data modeling, and model evaluation techniques.
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