Responsibilities:
Research, develop, and deploy advanced machine learning and deep learning models to production.
Take end-to-end ownership of the project lifecycle, from data collection and preprocessing to model training, evaluation, and deployment.
Utilize NLP methodologies to extract and provide insights from patient medical records.
Collaborate closely with cross-functional teams to understand business requirements and translate them into data-driven solutions.
Stay updated with the latest research and advancements in machine learning, deep learning, and NLP.
Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
Requirements:
B.Sc + M.Sc in an analytical field (Computer Science, Bioinformatics, Engineering or any other analytical degree).
4+ years of hands-on experience with Machine Learning and Deep learning algorithms.
High proficiency with Python and SQL.
Experience with NLP and NLU algorithms, including Question Answering, Reading Comprehension, Language Embeddings, etc or equivalent experience in other Deep Learning modalities.
Experience developing end to end data science solutions in production, writing scalable and automated solutions.
Team player with strong communication and collaboration skills.
Advantages:
Ph.D. in an analytical field.
Experience working with Cloud Infrastructure: AWS, Docker, Kubernetes etc.
Experience with LLM models in production systems.
