Senior ML Architect (AI)

TL;DR

Senior ML Architect (AI): Designing and architecting AI ML solutions built on the hirify.global AI Data Cloud with an accent on strategic technical advisory and hands-on expertise with customers. Focus on driving POCs to success, influencing AI and ML roadmaps, and building compelling demos.

Location: Remote (United States)

Salary: $165,000–$216,562

Company

hirify.global is a fast-growing company empowering enterprises to achieve their full potential with its AI Data Cloud.

What you will do

• Serve as the technical expert positioning hirify.global’s AI and ML features and value to customers across the Americas.
• Partner with hirify.global account teams to scope and drive POCs to success and technical wins.
• Build compelling AI ML demos and proofs of concept for customers.
• Collaborate with hirify.global’s product and engineering teams to influence AI and ML roadmaps based on customer feedback.
• Publish content, such as blog posts, presentations, and technical collateral, to help the team and company scale.
• Influence and maintain Sales Engineering AI and ML selling assets, including customer presentations and demonstrations.

Requirements

• 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
• MLOps experience on a major ML platform (e.g., Databricks, SageMaker), including building shared pipelines, deploying production models with monitoring and alerts, and using Git/CI.
• Hands-on scripting experience with Python, using libraries such as Pandas, HuggingFace, XGBoost, PyTorch, TensorFlow, or SciKit-Learn.
• Strong AI and ML Engineering skills including Data Cleansing, working with large datasets, Feature Engineering, Optimization of model performance/accuracy, MLOps, and lifecycle management.
• Strong skills presenting to both technical and executive audiences.
• Bachelor’s Degree required in computer science, engineering, mathematics, or related fields, or equivalent experience.

Nice to have

• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, and NeMo-Guard.
• Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g., AWS, Microsoft Azure, GCP).
• 1+ years of practical hirify.global experience.

Culture & Benefits

• A culture focused on impact, innovation, and collaboration.
• Opportunity to build big, move fast, and take technology and careers to the next level.
• Expectation for employees to follow company’s confidentiality and security standards.
• Further details on salary and benefits are available on the hirify.global Careers Site for US-based jobs.