TL;DR

Gen-AI Architect (Generative AI): Leading and supporting machine learning initiatives, focusing on designing and implementing AI/ML platforms and architectures. With an accent on generative AI models, data management, and lifecycle management. Focus on driving successful project execution, deploying and monitoring models, and aligning AI/ML strategies with broader business goals.

Location: Onsite in Atlanta, GA, USA

Salary: $125,000 – $135,000/Annually

Company

%hirify_global% is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world.

What you will do

Apply machine learning techniques and algorithms to solve complex problems and develop intelligent systems.
Lead and support machine learning initiatives, combining technical expertise with management skills.
Drive successful project execution, including deploying and monitoring models.
Foster collaboration and align machine learning strategies with broader business goals.
Design and implement AI/ML platforms and architectures.
Manage data, including data pipelines, storage solutions, and processing frameworks.

Requirements

14+ years of experience in applying machine learning techniques.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Extensive experience in designing and implementing AI/ML platforms and architectures.
Proficiency in cloud computing platforms such as AWS, Azure, or Google Cloud.
Strong understanding of AI/ML model development, deployment, and lifecycle management.
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Nice to have

Experience with generative AI models and frameworks such as GPT or GANs.
Knowledge of big data technologies and tools such as Hadoop, Spark, or Kafka.
Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
Experience with AI/ML tools and libraries such as TensorFlow, PyTorch, or scikit-learn.
Strong understanding of DevOps practices and CI/CD pipelines.

Culture & Benefits

Flexible work options are supported.
Comprehensive healthcare benefits including dental, vision, mental health, and well-being programs.
Financial well-being programs such as 401(k) and Employee Share Ownership Plan.
Paid time off, paid holidays, paid parental leave, and family building benefits.
Mentoring, coaching, and learning programs are available.
Access to Employee Resource Groups and Disaster Relief support.