Overview
Skills
Job Details
Qualifications
Education:
Education qualifications listed below will be considered but are not required.
Master s or Ph.D. in Artificial Intelligence, Machine Learning, Computer Science, or a related field.
Experience:
3+ years of experience in developing generative AI solutions or working with large-scale machine learning models.
Proven track record of deploying AI models in production environments.
Technical Skills:
Proficiency in machine learning frameworks and tools (e.g., TensorFlow, PyTorch, Hugging Face).
Expertise in natural language processing (NLP), transformers, and multimodal AI.
Experience with large-scale datasets and distributed computing frameworks (e.g., Spark, Dask).
Strong programming skills in Python and familiarity with libraries like NumPy, pandas, and Scikit-learn.
Knowledge of cloud platforms and AI infrastructure (e.g., AWS Sagemaker, Google Cloud AI).
Familiarity with MLOps practices for model deployment, monitoring, and management.