Senior AI / ML Engineer

Dataklid AI Services; USA; Remote; USD 130.000 - 180.000; Vollzeit

Benefits dieser Stelle

Remote work

SF option

Equity included

Professional development

Zusammenfassung

Dataklid AI Services in the United States seeks a leader to design and deliver production ML systems for enterprise automation, steering AI direction and turning research into scalable models.

You will collaborate across research, engineering and business teams to ensure reliability and alignment with product goals, while driving deployment and performance across disciplines.

Qualifikationen

• Experience in machine learning and deep learning.
• Hands-on familiarity with frameworks such as PyTorch or TensorFlow.
• Understanding of large language models and their application in products.
• Strong analytical and problem‑solving skills.
• Ability to design scalable systems and communicate effectively across disciplines.
• A proactive approach to resolving complex issues and supporting successful deployments.

Aufgaben

• Collaborate with researchers, engineers and stakeholders to define an AI strategy and roadmap.
• Translate advances in AI research into models and systems that can scale in production.
• Guide system architecture and prioritize features needed for deployment.
• Monitor model performance and address reliability, accuracy and alignment with business objectives.
• Coordinate cross-functional work to deliver AI initiatives and enterprise deployments.

Kenntnisse

Machine Learning

Deep Learning

Cross-functional collaboration

Problem solving

Communication

System design

Tools

PyTorch

TensorFlow

Jobbeschreibung

Role overview

Lead the design and delivery of machine learning systems that support enterprise automation. You'll help set AI direction, turn current research into production-ready models, and work across research, engineering and business teams to ensure the resulting systems are reliable and aligned with product goals.

Responsibilities

• Collaborate with researchers, engineers and stakeholders to define an AI strategy and roadmap.
• Translate advances in AI research into models and systems that can scale in production.
• Guide system architecture and prioritize features needed for deployment.
• Monitor model performance and address reliability, accuracy and alignment with business objectives.
• Coordinate cross-functional work to deliver AI initiatives and enterprise deployments.

Requirements

• Experience in machine learning and deep learning.
• Hands-on familiarity with frameworks such as PyTorch or TensorFlow.
• Understanding of large language models and their application in products.
• Strong analytical and problem‑solving skills.
• Ability to design scalable systems and communicate effectively across disciplines.
• A proactive approach to resolving complex issues and supporting successful deployments.

Benefits and work setup

• Full-time role with remote work available, including a San Francisco option.
• The listed salary range is $130,000-$180,000, with equity mentioned as part of the compensation package.
• Supportive team environment, learning and development opportunities, and a chance to contribute to product strategy.