Advanced degree in Computer Science, Engineering, or other STEM field with minimum 2 years of industrial experience
Solid understanding of active and continuous learning methodology and machine learning algorithms and techniques, such as regression, classification, clustering, and deep learning
Proficiency in data manipulation and analysis using SQL and other tools (Databricks, AWS).
Experience with Python/Java, including deep learning frameworks and tools such as PyTorch, TensorFlow, Hugging Face, Spacy.
Experience with machine learning, deep learning, reinforcement learning
Experience with AI concepts related to RAG architecture, LLMs and Vector Datastores
Experience with cloud environments(AWS, Azure, GCP) and big data processing frameworks such as Spark.
Ability to learn by doing, to adapt to ever-changing requirements and have a bias for action and outcome
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.