Looking for a strong and proven MLOps experience with a heavy footprint on DataBricks . Job Description
Responsibilities:
Design, build, and deploy a variety of machine learning models, with a strong focus on utilizing and integrating generative AI models (e.g., LLMs, diffusion models, GANs).
Conduct thorough data exploration, feature engineering, and model evaluation to ensure optimal model performance.
Collaborate with cross-functional teams (engineers, product managers, researchers) to translate business needs into actionable data science solutions.
Contribute to the development and improvement of data science infrastructure and tools.
Qualifications:
5+ years, hands-on data science experience and self-starter.
Strong foundation in machine learning algorithms, deep learning architectures (e.g., CNNs, RNNs, Transformers), and natural language processing (NLP).
Proven experience in working with and integrating generative AI models into applications.
Expertise in Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers).
Experience with Databricks and its ecosystem.
Experience with MLOps and model deployment pipelines will be a bonus.