AI Architect - Confluent Business Systems (Remote)

IBM

Remote

Quick summary

Work type: Remote
Location: Remote
Posted: 8 days ago

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Similar $206k

$159k most similar roles pay here $256k

This listing doesn't post a salary. Most similar roles pay $168,687–$242,875.

Based on 240 similar postings.

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IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

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Listed pay typically runs $1,000,000–$1,000,000 across 8 roles with salary data.

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TL;DR · AI Architect - Confluent Business Systems (Remote)

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As an AI Architect at Confluent Business Systems, you will join a dynamic and innovative team to design and implement advanced AI solutions. Your primary responsibilities include developing cutting-edge machine learning models, integrating them into existing systems, and ensuring seamless data flow and governance. Day-to-day tasks involve collaborating with stakeholders to understand business needs, conducting hands-on development using Python and TensorFlow, and maintaining high-quality standards through rigorous testing and validation processes. The role requires expertise in cloud platforms like AWS or Azure, proficiency in SQL and NoSQL databases, and a strong understanding of AI/ML frameworks. You will work on large-scale data processing and analytics projects, addressing complex business challenges within the enterprise technology domain.

Skills

Python Java Kafka Confluent Platform Docker Kubernetes AWS CI/CD Git SQL NoSQL Microservices MLOps

What you'll do

Design and implement advanced AI solutions to enhance business systems.
Develop machine learning models for predictive analytics and data-driven decision-making.
Ensure compliance with quality standards and governance policies in AI projects.
Collaborate with stakeholders to understand requirements and deliver tailored AI solutions.
Maintain up-to-date knowledge of emerging trends and technologies in artificial intelligence.

What we're looking for

5+ years of experience in software engineering or a related field.
Proven expertise in designing and implementing complex AI systems.
Strong background in machine learning frameworks and algorithms.
Experience with cloud platforms like AWS, Azure, or Google Cloud.
Excellent skills in data modeling, analysis, and database management.
Ability to lead technical projects and mentor junior engineers.

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