Senior AI Engineer, Data Scientist

Job not on LinkedIn

🕒 April 7

🏰 Missouri – Remote

🏰 Missouri – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 53%

What it means: how likely this posting is sitting open without active hiring.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

• Serve as a primary technical consultant, leading and executing end-to-end ML project implementations directly with clients, translating complex business problems into robust technical solutions. • Exhibit excellent communication, presentation, and stakeholder management skills to clearly articulate technical findings, proposals, and project status to both technical and non-technical audiences. • Design, build, and maintain production-grade ML pipelines, focusing on continuous integration, continuous delivery (CI/CD), and advanced MLOps practices to ensure reliability and scalability of models. • Implement and optimize cutting-edge Generative AI and NLP applications, demonstrating hands-on experience with technologies like Retrieval Augmented Generation (RAG) and Large Language Models (LLMs) in a production setting. • Manage underlying solution infrastructure, demonstrating proficiency in technologies such as Docker, pipeline orchestrators, and database systems. • Leverage expertise in distributed computing frameworks, specifically in scalable machine learning and high-performance data processing (e.g., using technologies like Apache Spark). • Contribute to the strategic growth of the ML Practice Team, including participation in technical assignments and knowledge transfer activities. • Ensure all client engagements and training activities are properly documented and reported via designated partner platforms.

🎯 Requirements

• 4+ years of hands-on professional experience developing, deploying, and managing Machine Learning models, with a mandatory requirement for productionizing and maintaining models in a live environment. • 3+ years of experience in a customer-facing consulting or solutions architect role, focused on technical implementation and delivery. • Excellent verbal and written communication skills for effective client and internal team interaction. • Expertise in MLOps lifecycle management, including model versioning, testing, monitoring, and automated deployment best practices. • Demonstrable experience with infrastructure management, encompassing containerization (Docker) and data pipeline orchestration. • Deep understanding of programming for data-intensive and scalable ML applications. • Proven experience in deploying and managing Generative AI and NLP solutions for client applications.

🏖️ Benefits

• Work on frontier AI and data projects with Fortune 500 companies • Contribute to IP, reusable accelerators, and real business impact • Be part of a high-performance, engineering-first culture