Generative AI Engineer
Core
Develop and deliver end-to-end Generative AI/ML solutions, including LLMs and Diffusion Models, transforming data science experiments into production-ready systems.
Role type
Mid-Level to Senior Generative AI Engineer (IC)
Builds
Scalable Generative AI solutions, REST APIs for inference, and MLOps pipelines for cloud/on-premise environments
Domain
Generative AI, Machine Learning, Cloud Infrastructure, Big Data
Deliverable
production ML models | product features | infrastructure
Required skills
Python, C#, PyTorch, TensorFlow, LLMs, Diffusion Models, ETL, Vector Databases, Docker, Kubernetes, Azure ML, AWS SageMaker, MLOps
Preferred skills
R, scikit-learn, MLlib, Hadoop, Beam, Databricks, Power BI, Plotly, similarity search techniques, statistics, probability
Technologies
Python, C#, PyTorch, Keras, TensorFlow, scikit-learn, MLlib, LLMs, Diffusion Models, Azure ML, AWS SageMaker, GCP, Hadoop, Beam, Databricks, Docker, Kubernetes, Power BI, Plotly
Responsibilities
Design and implement data models and flows including ETL and embedding models; Build and manage REST APIs for inference and model retraining; Orchestrate AI/ML deployments across cloud and on-premise environments; Collaborate with international teams to solve complex business challenges using cutting-edge AI technologies
Seniority
Mid-Level to Senior, hands-on IC
