AI ML Software Engineer

Prophecy Technologies

$100K — $150K *
US-AnywhereRemote in United States
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 6-9 years of demonstrated experience in applied AI/ML engineering.
  • Proficiency in programming languages like Python.
  • Experience with machine learning frameworks, libraries, and APIs.
  • Strong collaboration skills to work effectively with cross-functional teams.
  • A portfolio showcasing successful applications of generative models in NLP projects.

Responsibilities

  • Collaborate with product managers, data scientists, and ML engineers to clarify requirements and prioritize use cases.
  • Design, develop, and deploy AI/ML solutions aligned with business objectives.
  • Create and maintain automated pipelines for efficient model deployment.
  • Implement optimization strategies to enhance generative models for NLP applications.
  • Evaluate the performance of generative models and implement improvement strategies.

Benefits

  • Opportunity to work on cutting-edge AI/ML solutions.
  • Collaboration with a diverse team of professionals across disciplines.
  • Engagement in projects with real-world impact on business operations.
Full Job Description
Role Overview:

This role involves working as an AI ML Software Engineer to design, develop, and deploy state-of-the-art AI/ML solutions.

Key Responsibilities:
  • Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases.
  • Design, develop, and deploy AI/ML solutions to meet business objectives.
  • Develop and maintain automated pipelines for model deployment.
  • Implement optimization strategies to fine-tune generative models for specific NLP use cases.
  • Conduct thorough evaluations of generative models and implement improvements to enhance overall performance.

Required Skills:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 6-9 years of demonstrated experience in applied AI/ML engineering.
  • Proficiency in programming languages like Python.
  • Experience with machine learning frameworks, libraries, and APIs.

Qualifications:
  • Strong collaboration skills to work effectively with cross-functional teams.
  • A portfolio showcasing successful applications of generative models in NLP projects.

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