Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Candidates must have 5+ years in AI development with experience deploying and monitoring custom ML and generative models to production, deep understanding of Machine Learning and Natural Language Processing, demonstrated experience leading large complex projects, proven experience integrating ML models with web and mobile apps, and strong communication skills to inspire stakeholders and explain AI benefits to non-technical audiences.
Your day-to-day involves technical leadership, including leading technical conversations, hands-on building of demo applications or proof of concepts, and establishing AI/ML guidelines and standards for partners and prospects.
A Master's or Ph.D. in Computer Science, Engineering, or a related field with a focus on AI and Machine Learning is listed as a nice-to-have, not a requirement.
This information is not specified in the job description.
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Designs and implements software solutions for growth
Able designs and implements software solutions to help Private Equity and Venture-backed companies grow. Their services include identifying opportunities, creating strategic roadmaps, and developing investment plans that focus on driving growth and cutting costs. Able uses Artificial Intelligence to enhance product and company development, addressing issues like outdated systems and inefficient customer experiences. Unlike many competitors, Able tailors its solutions to meet the specific needs of each client, ensuring a more personalized approach. The goal of Able is to leverage technology to create positive change, enabling clients to launch products more quickly and efficiently.