Agentic AI Architect

SupportFinity™; Pittsburgh (Allegheny County); On-site; USD 110,000 - 160,000; Full time

Job summary

SupportFinity™ is seeking an AI Engineer to design, develop, and deploy machine learning models and AI solutions for complex business problems. You will collaborate with product teams to bring AI capabilities into existing offerings and analyze vast datasets to uncover actionable insights.

The role emphasizes staying current with AI research and optimizing models for performance, scalability, and reliability in a fast-paced environment.

Qualifications

• Strong understanding of machine learning frameworks (e.g., PyTorch, TensorFlow).
• Proficiency in Python and experience with data manipulation libraries.
• Experience with NLP, computer vision, or reinforcement learning is a plus.
• Strong analytical and problem-solving skills.
• Ability to work independently and as part of a collaborative team.

Responsibilities

• Design, develop, and deploy machine learning models and AI algorithms.
• Collaborate with cross-functional teams to integrate AI solutions into existing products.
• Analyze large datasets to identify patterns and insights.
• Stay up-to-date with the latest advancements in AI and machine learning research.
• Optimize models for performance, scalability, and reliability.

Skills

Data analysis

Analytical thinking

Independent working

Team collaboration

Problem-solving

Tools

TensorFlow

PyTorch

Python

Job description

We are looking for a skilled AI Engineer to join our team. You will be responsible for designing, developing, and implementing machine learning models and AI-driven solutions to solve complex business problems.

Data Analysis

TensorFlow

PyTorch

Python

Responsibilities

• Design, develop, and deploy machine learning models and AI algorithms.
• Collaborate with cross-functional teams to integrate AI solutions into existing products.
• Analyze large datasets to identify patterns and insights.
• Stay up-to-date with the latest advancements in AI and machine learning research.
• Optimize models for performance, scalability, and reliability.

Qualifications

• Strong understanding of machine learning frameworks (e.g., PyTorch, TensorFlow).
• Proficiency in Python and experience with data manipulation libraries.
• Experience with NLP, computer vision, or reinforcement learning is a plus.
• Strong analytical and problem-solving skills.
• Ability to work independently and as part of a collaborative team.