Job description
This is a remote position.
The AI Engineer will design, build, and optimize machine learning and AI solutions that support enterprise automation, analytics, and intelligent decision-making. The role requires strong analytical thinking, technical execution, and the ability to work effectively within remote consulting teams.
Key Responsibilities
Develop and deploy machine learning models and AI solutions
Analyze datasets and optimize data pipelines
Collaborate with cloud and engineering teams on AI implementation
Support automation and AI-driven workflow initiatives
Participate in solution design and technical discussions
Document technical processes and project updates
Requirements
4–8 years of experience in AI, Machine Learning, or Data Engineering
Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
Experience with cloud platforms (AWS, Azure, or GCP)
Knowledge of APIs, SQL, and data processing workflows
Strong problem-solving and communication skills
Ability to work in remote, cross-functional teams
Preferred
Experience within fintech, banking, or enterprise consulting environments
Understanding of MLOps and AI deployment pipelines
Relevant AI or Cloud certifications are an advantage
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.