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 application guide
This this opportunity Principal Ai Engineer opening is best approached with a focused application that connects your recent experience to the problems Able is likely trying to solve in Remote. Before applying, read the full description, confirm the application method, and tailor your CV or portfolio so the first few lines clearly match the responsibilities below.
Who should pay attention
Candidates who can show practical evidence for the listed requirements and can work effectively in remote or distributed work should review this role carefully.
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Use the job title and two or three matching skills from the requirements in your CV summary or cover message. Keep it specific, measurable, and relevant to this role.
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Check the deadline, salary or benefit details where provided, and the employer profile. Avoid paying unofficial fees or sharing sensitive documents outside the stated application process.
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.