ML/AI Engineers
Core
Architect and develop AI/machine learning solutions, particularly generative AI, for clients across various industries.
Role type
Machine Learning Engineer (Generative AI)
Builds
AI-driven solutions and generative AI models for client offerings
Domain
IT Consulting, Machine Learning, Generative AI
Deliverable
production ML models
Required skills
Deep learning, Large Language Models (LLMs), Python, TensorFlow, PyTorch, Cloud platforms (AWS, Azure, Google Cloud), Databricks, MLOps, Feature engineering, Data analysis
Preferred skills
AutoML, Interpretability frameworks, Ethical AI practices
Technologies
AWS, Azure, Google Cloud, Databricks, PyTorch, TensorFlow, Python, Helm, Excel
Responsibilities
Architect and improve machine learning models and algorithms; Manage the full data modeling lifecycle from business needs to deployment; Analyze and prepare data and engineer features; Collaborate to incorporate generative AI models into product capabilities; Optimize data preparation and algorithms for accuracy and efficiency; Promote adherence to industry standards and regulatory requirements for ethical AI.
