AI Innovation Engineer

4 days ago


Malad City, Idaho, United States HireBloc Full time
About the Role:

HireBloc is seeking a highly skilled AI Innovation Engineer to join our team and contribute to the development of cutting-edge artificial intelligence solutions. As an AI Innovation Engineer, you will play a crucial role in leveraging machine learning and deep learning technologies to drive innovation and solve complex business problems.

Key Responsibilities:
  • Design and Implement AI Solutions: Develop and deploy machine learning models and algorithms to drive business growth and improve operational efficiency.
  • Collaborate with Cross-Functional Teams: Work closely with data scientists, software engineers, and other stakeholders to integrate AI capabilities into existing products and systems.
  • Conduct Research and Experimentation: Explore new AI methodologies and technologies to stay ahead of the curve and drive innovation.
  • Deploy AI Models at Scale: Ensure the reliability, scalability, and performance of AI systems in cloud or on-premises environments.
  • Provide Technical Guidance and Mentorship: Share your expertise and knowledge with junior team members to help them grow and develop their skills.
  • Stay Updated with Industry Developments: Stay current with the latest advancements in AI and related fields to ensure HireBloc remains a leader in the industry.
Required Qualifications:
  • Bachelor's or Higher Degree: In Computer Science, Engineering, Mathematics, or a related field.
  • Proven Experience: In developing and deploying machine learning models and algorithms.
  • Programming Languages: Proficiency in languages such as Python, R, or Java.
  • Deep Learning Frameworks: Solid understanding of frameworks like TensorFlow, PyTorch, or Keras.
  • Natural Language Processing: Experience with NLP and text analytics.
  • Statistics and Probability Theory: Strong knowledge of statistics and probability theory.
  • Cloud Platforms: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
  • Problem-Solving and Analytical Skills: Excellent problemsolving and analytical skills.
  • Communication and Collaboration: Effective communication and collaboration abilities.
  • Publication Record: Publication record in AI or machine learning conferences or journals (preferred).
  • Relevant Certifications: Relevant certifications in AI, machine learning, or related domains (e.g. AWS Certified Machine Learning Specialty, TensorFlow Developer Certificate).

Key Skills: natural language processing, Python, cloud platforms, programming languages, communication, algorithm development, collaboration, software development principles, machine learning, deep learning, Azure, analytical skills, Google Cloud, AWS, statistics, problem-solving, probability theory



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