Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Design, build, and deploy machine learning models that power data-driven products and insights across the organization with an accent on machine learning, data engineering, and scalable systems. Focus on delivering reliable and high-performing ML solutions.

Location: Remote (USA)

Company

hirify.global is a full-service consulting firm delivering predictable outcomes and high-quality solutions.

What you will do

• Design, develop, and deploy machine learning models to solve business problems across large-scale datasets.
• Build and optimize machine learning pipelines for data preparation, model training, and inference.
• Collaborate with data engineers and software engineers to develop scalable ML infrastructure and pipelines.
• Research and implement modern machine learning techniques, including deep learning and large language models where appropriate.
• Deploy and maintain machine learning models in production environments.

Requirements

• 5+ years of professional experience in machine learning engineering or a related role.
• Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX.
• Experience building, training, and deploying machine learning models in production environments.
• Experience working with data pipelines and large-scale datasets.
• Proficiency with cloud platforms (AWS, GCP, or Azure) and familiarity with MLOps practices.
• Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field (or equivalent experience).

Nice to have

• Experience working with natural language processing, computer vision, recommendation systems, or other applied ML domains.
• Familiarity with model deployment, experiment tracking, and model monitoring tools.
• Experience working with distributed systems and scalable ML infrastructure.
• Exposure to modern techniques such as transformer architectures, embeddings, or large language models.
• Experience working in a fast-paced startup or product-driven environment.

Culture & Benefits

• Remote Work Opportunity