Senior AI Engineer, Data Scientist

Job not on LinkedIn

🕒 June 22

🌵 Arizona – Remote

🌵 Arizona – Remote

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

👻 Ghost score 54%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Koantek

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2020

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Koantek is a data intelligence company that specializes in maximizing data value through innovative solutions built on the Databricks platform. They offer tailored services such as data migration, advanced analytics, and cloud infrastructure modernization to help organizations unlock actionable insights and drive strategic growth. As a recognized Databricks partner, Koantek collaborates with businesses to develop customized data strategies that align with their unique objectives, enhancing decision-making and operational efficiency.

📋 Description

• Technical Consulting: Lead end-to-end ML implementations directly with clients, translating business problems into robust technical solutions. • MLOps and Pipelines: Design, build, and maintain production-grade ML pipelines with a strong focus on CI/CD, automation, and scalability. • GenAI and NLP Deployment: Implement and optimize cutting-edge Generative AI applications (such as LLMs and RAG) in live production settings. • Infrastructure and Data Scale: Manage underlying infrastructure using Docker, pipeline orchestrators, and distributed computing frameworks like Apache Spark. • Stakeholder Management: Clearly communicate technical findings, proposals, and project status to both technical and non-technical audiences.

🎯 Requirements

• 12+ years of work experience • 4+ years of professional experience developing, deploying, and maintaining ML models in a live production environment (Mandatory) • 3+ years of experience in customer-facing consulting or Solutions Architect role • Strong expertise in the MLOps lifecycle (model versioning, testing, monitoring, and automated deployment) • Solid hands-on experience with containerization (Docker) and data pipeline orchestration • Proven track record of deploying Generative AI and NLP solutions for client applications • Excellent verbal and written communication skills

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development

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