Senior AI Engineer: Scalable ML & Production Systems

Pivotal Solutions; Georgia; On-site; USD 130,000 - 180,000; Full time

Job summary

Pivotal Solutions is seeking an experienced AI Engineer to design, develop, and deploy advanced AI/ML models in production. You will collaborate with data scientists, product managers, and software engineers to integrate AI into scalable systems.

Responsibilities include optimizing pipelines, researching cutting-edge techniques, and mentoring junior engineers while ensuring robust performance and reliability in production environments.

Qualifications

• Master’s or PhD in Computer Science, AI, ML, or a related field.
• 5+ years in AI/ML engineering delivering impactful AI solutions.
• Proficiency in AI/ML algorithms, deep learning frameworks, and end-to-end lifecycle.
• Strong Python programming and libraries (NumPy, Pandas, Scikit-Learn, Hugging Face).
• Experience with cloud platforms and containerization (AWS/Azure/GCP; Docker, Kubernetes).
• Excellent problem-solving and cross-functional collaboration in agile teams.

Responsibilities

• Design, develop, and deploy advanced AI/ML models to solve business problems.
• Collaborate with data scientists, PMs, and engineers to productionize AI solutions.
• Optimize AI pipelines for performance, scalability, and reliability on large datasets.
• Research and implement cutting-edge AI techniques, frameworks, and tools.
• Mentor junior engineers on AI best practices, modeling, and deployment.
• Monitor production AI systems and respond rapidly to issues.

Skills

Python

ML/AI development

Deep learning

Data preprocessing

Agile collaboration

Education

Master's or PhD in CS/AI/ML

Tools

TensorFlow

PyTorch

Docker

Kubernetes

NumPy

Pandas

Scikit-Learn

Hugging Face

Job description

Pivotal Solutions is seeking an experienced AI Engineer to design, develop, and deploy advanced AI/ML models in production. You will collaborate with data scientists, product managers, and software engineers to integrate AI into scalable systems.

Responsibilities include optimizing pipelines, researching cutting-edge techniques, and mentoring junior engineers while ensuring robust performance and reliability in production environments.