Principal AI Engineer at Able | Remote
Company/Recruiter: Able
✦ AI Summary
Able is seeking a highly experienced Principal AI Engineer to join our innovative team. If you are passionate about leveraging cutting-edge AI technologies to solve complex problems and drive product innovation, we encourage you to apply.
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MorrJobs editorial notes
Our reading of this this opportunity Principal Ai Engineer opening: it is a responsibility-led role with a detailed skills profile role for candidates who can show evidence that matches the responsibilities and requirements published by Able. The notes below are MorrJobs guidance based on this listing, not claims made by the employer.
What to demonstrate
Connect your CV or portfolio to Proven track record in AI engineering and machine learning.; Expertise in programming languages such as Python and relevant AI libraries (e.g., TensorFlow, PyTorch).. Use one concrete example that shows you can Lead the research, development, and deployment of sophisticated AI and machine learning models..
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Confirm that Remote and the stated work arrangement suit you, check the closing date of Oct 21, 2026.
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Job Overview
As a Principal AI Engineer, you will play a pivotal role in shaping the future of AI at Able. You will be responsible for leading the design, development, and implementation of advanced AI models and systems. This role requires a deep understanding of machine learning, deep learning, and their applications across various domains.Key Responsibilities
- Lead the research, development, and deployment of sophisticated AI and machine learning models.
- Design and implement scalable AI architectures and pipelines.
- Collaborate with cross-functional teams to identify opportunities for AI integration.
- Mentor junior engineers and contribute to the team's technical growth.
- Stay abreast of the latest advancements in AI and machine learning research.
Requirements
- Proven track record in AI engineering and machine learning.
- Expertise in programming languages such as Python and relevant AI libraries (e.g., TensorFlow, PyTorch).
- Strong understanding of MLOps principles and practices.
- Excellent problem-solving and analytical skills.
- Master's or Ph.D. in Computer Science, AI, or a related field, or equivalent practical experience.
What We Offer
- Opportunity to work on challenging and impactful AI projects.
- A collaborative and supportive remote work environment.
- Continuous learning and professional development opportunities.
- Competitive compensation and benefits.