Description

You will design, build, and manage AI and machine learning solutions within a cloud environment.

Responsibilities

• Implement core artificial intelligence and machine learning concepts in production.
• Design and manage Google Cloud Platform (GCP) solutions and microservices.
• Develop software using Python, Java, and JavaScript within JBOSS Enterprise SOA environments.
• Apply agile development processes, including test-driven development and CMM/CMMI Level 3 practices.
• Build and maintain CI/CD pipelines using Azure DevOps.

Required Skills

• 5+ years of experience with TensorFlow, PyTorch, Keras, or Scikit-learn.
• 5+ years of experience with SpaCy, NLTK, or Hugging Face.
• 5+ years of experience with Tesseract, Google Vision API, or AWS Textract.
• 5+ years of experience with Dialogflow ES/CX or Google Assistant SDK.
• 5+ years of experience with RESTful APIs and webhooks.
• 5+ years of experience with SQL, R, and/or Pandas.
• 5+ years of experience with Python, Java, and JavaScript.
• 5+ years of experience with Angular or React JS.
• 5+ years of experience with JBOSS Enterprise SOA and JBOSS Workflow.
• 3+ years of experience creating CI/CD pipelines in Azure DevOps.

Key Skills

Education

Any Gradute