AI/ML Engineer

5 days ago

phoenix, United States Straive Full time

The AI/ML Engineer will be responsible for designing, developing, and deploying machine learning models and AI solutions. You will work closely with cross-functional teams to create and implement algorithms and systems that drive our technology forward. The ideal candidate will have a strong background in AI and machine learning, with expertise in Python, SQL, Java, and experience with generative AI and chatbots.


Key Responsibilities:

  • Model Development: Design, develop, and implement machine learning models and algorithms to solve complex problems.
  • Data Analysis: Utilize SQL to extract, manipulate, and analyze data from various sources to support model training and evaluation.
  • Software Engineering: Develop robust and scalable code in Python and Java to integrate AI/ML solutions into our existing systems and applications.
  • Generative AI: Create and optimize generative AI models to generate content, predictions, or other outputs as required by the business.
  • Chatbot Development: Design and implement conversational AI solutions and chatbots to enhance user interactions and automate processes.
  • Collaboration: Work closely with data scientists, software engineers, and product managers to understand requirements and deliver effective AI solutions.
  • Performance Monitoring: Continuously monitor and improve the performance of deployed models, ensuring they meet the desired accuracy and efficiency.
  • Research & Innovation: Stay up-to-date with the latest advancements in AI/ML and contribute to innovative projects and solutions.


Required Skills and Qualifications:

  • Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
  • Experience: Proven experience in AI/ML model development and deployment.
  • Programming Languages: Proficiency in Python and Java.
  • SQL: Strong skills in SQL for data extraction and manipulation.
  • Generative AI: Experience with generative AI techniques and applications.
  • Chatbots: Hands-on experience in developing and deploying chatbots and conversational AI systems.
  • Machine Learning Frameworks: Familiarity with popular ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Problem-Solving: Excellent analytical and problem-solving skills with the ability to tackle complex challenges.

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