Senior AI / ML Engineer

SKYXOPS Corp.; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

SKYXOPS Corp is seeking a Senior AI/ML Engineer to scale AI solutions across multi-cloud environments and embed FinOps practices within our cloud ecosystem.

You will lead data pipelines, model training, and mentor junior engineers while staying ahead of AI/ML trends in cloud environments. This role offers a dynamic, innovation-driven setting with growth opportunities.

Qualifications

• Design, deploy AI/ML solutions for scalability in multi-cloud.
• Collaborate for efficient FinOps integration in AI/ML workflows.
• Research and implement cutting-edge AI algorithms to solve complex business problems.
• Lead development of data pipelines and model training in multi-cloud environments.
• Drive innovation in AI/ML technologies to enhance product efficiency.
• Provide technical leadership and mentorship to junior team members.
• Stay updated on industry trends in AI/ML, multi-cloud, and FinOps practices.

Responsibilities

• Design and deploy scalable AI/ML solutions across multi-clouds.
• Integrate FinOps into AI/ML workflows.
• Research and implement cutting-edge AI algorithms.
• Lead data pipelines and model training in multi-cloud environments.
• Drive AI/ML innovation to improve product efficiency.
• Provide technical leadership and mentor junior team members.
• Stay updated on AI/ML, multi-cloud, and FinOps trends.

Skills

AI/ML design

Multi-cloud

FinOps

Data pipelines

Model training

Mentorship

Industry trends

Job description

As a Senior AI/ML Engineer, you will play a pivotal role in leveraging AI/ML technologies across multi-cloud environments while integrating FinOps practices. Your expertise will be instrumental in scaling the impact of AI solutions and optimizing financial operations within our cloud ecosystem.

Requirements

• Design, deploy AI/ML solutions for scalability in multi-cloud.
• Collaborate for efficient FinOps integration in AI/ML workflows.
• Research and implement cutting-edge AI algorithms to solve complex business problems.
• Lead development of data pipelines and model training in multi-cloud environments.
• Drive innovation in AI/ML technologies to enhance product efficiency.
• Provide technical leadership and mentorship to junior team members.
• Stay updated on industry trends in AI/ML, multi-cloud, and FinOps practices.