Senior AI Engineer

Gazelle Global; Iowa (LA); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading financial services organization in the United States is seeking a Senior AI Engineer to drive innovation in AI-powered investment solutions. The ideal candidate will lead the design, development, and deployment of advanced AI and ML solutions, focusing on building scalable, cloud-native AI systems. Responsibilities include architecting ML models, deploying AI systems across cloud platforms, and implementing MLOps practices. This role requires strong mentorship skills and a passion for applying AI to real-world challenges.

Qualifications

• Deep hands-on experience with ML and deep learning systems.
• Proven ability to design and deploy scalable AI solutions.
• Strong coding and problem-solving skills.

Responsibilities

• Architect, develop, and optimize ML and GenAI models.
• Build AI pipelines from data ingestion to production.
• Deploy large-scale AI systems using cloud technologies.

Skills

Machine Learning

Deep Learning

Cloud Environments

Problem Solving

Mentorship

Tools

Azure

AWS

GCP

Docker

Kubernetes

Spark

Databricks

Job description

We’re seeking a Senior AI Engineer to join a leading financial services organisation, driving innovation in AI-powered investment solutions.

This individual will lead the design, development, and deployment of advanced AI and ML solutions. If you’re passionate about building scalable, cloud-native AI systems, mentoring engineers, and driving enterprise AI innovation, this role is for you.

Role Responsibilities

• Architect, develop, and optimize ML and GenAI models for NLP, computer vision, predictive analytics, and automation
• Build end-to-end AI pipelines from data ingestion to production deployment, ensuring scalability and reliability
• Deploy large-scale AI systems on Azure, AWS, or GCP using Docker, Kubernetes, and serverless technologies
• Implement modern MLOps practices: CI/CD, model tracking, drift detection, and automated retraining
• Collaborate with data engineering teams to manage large datasets and streamline data pipelines using Spark/Databricks, SQL, and modern frameworks

What You Bring

• Deep hands-on experience with ML, deep learning, and LLM-based systems
• Proven ability to design and deploy scalable AI solutions in cloud environments
• Strong coding, problem-solving, and mentorship skills
• Passion for applying AI to real-world business challenges

Full US Citizenship or Green Card required

Join a team that’s transforming enterprise AI strategy and delivering solutions that truly make an impact.

📩 Apply now and help us build the intelligent systems of tomorrow.