Description
You will design and implement AI/ML and GenAI solutions, including RAG, document understanding, and anomaly detection.
Responsibilities
- Build, deploy, and maintain models using Python and ML frameworks.
- Develop scalable data pipelines using Databricks, PySpark, and modern data platforms.
- Translate business use cases into technical AI/ML solutions.
- Establish MLOps practices, model monitoring, and performance tuning.
- Provide technical guidance for AI/ML initiatives.
Required Skills
- 4+ years of experience in Data Science, ML, or AI development.
- Proficiency in Python and SQL.
- Experience with R or similar tools.
- Hands-on experience with scikit-learn, TensorFlow, PyTorch, or Hugging Face.
- Experience with LLMs, RAG architectures, and prompt engineering.
- Experience processing unstructured data and document understanding.
- Knowledge of AWS AI/ML services, specifically SageMaker and Bedrock.
- Experience with Databricks and PySpark.
- Master’s degree in Data Science, Computer Science, Statistics, or a related field.