Senior AI Engineer, Data Scientist

🕒 Abril 7

🏰 Missouri – Remoto

🏰 Missouri – Remote

⏰ Tempo Integral

🟠 Sênior

📊 Cientista de Dados

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Koantek

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2020

🤖 Inteligência Artificial

💳 Fintech

Artificial Intelligence • Data Strategy • Fintech

A Koantek é uma empresa de inteligência de dados que se especializa em maximizar o valor dos dados por meio de soluções inovadoras desenvolvidas na plataforma Databricks. Eles oferecem serviços personalizados como migração de dados, análises avançadas e modernização de infraestrutura em nuvem para ajudar as organizações a desbloquear insights acionáveis e impulsionar o crescimento estratégico. Como um parceiro reconhecido da Databricks, a Koantek colabora com empresas para desenvolver estratégias de dados personalizadas que se alinham com seus objetivos únicos, melhorando a tomada de decisões e a eficiência operacional.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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