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We are building advanced AI-driven solutions across healthcare, medical intelligence, enterprise automation, and next-generation data systems. We work on cutting-edge technologies involving LLMs, NLP, multimodal AI, and real-time intelligence platforms that solve complex business and healthcare challenges at scale. We are looking for a highly skilled and hands-on Senior Data Scientist who thrives in building production-grade AI systems from the ground up and enjoys solving deep technical problems in real-world environments.
Role Overview
As a Senior Data Scientist at NUVO AI, you will lead the development and deployment of production-level NLP and machine learning systems running on high-performance bare-metal infrastructure.
This role is ideal for someone with strong expertise in deep learning, NLP pipelines, large-scale data processing, and AI infrastructure engineering. You will collaborate closely with AI engineers, product teams, and software developers to transform healthcare and enterprise data into intelligent AI-powered solutions.
Key Responsibilities
Required Skills & Experience
Must-Have Technical Skills:
Preferred Qualifications
What We're Looking For
Why Join NUVO AI
If you are passionate about building large-scale AI systems and production-grade NLP infrastructure, we'd love to hear from you.
Job ID: 148313021
Skills:
Ml, Deep Learning, MLops, Databricks, Mathematical Optimization, Generative AI, Azure ML Studio, Ai, Synapse, Kusto, Azure AI, Simulation, Fabric
Skills:
data engineering , Spotfire, Machine Learning, Power Bi, Tableau, Sql, MLops, Databricks, Predictive Analytics, Python, Generative AI, Ai, semantic search, Statistical Modeling
Skills:
Sql, Numpy, Git, REST, Pandas, Docker, XGBoost, Azure, Python, AWS, scikit-learn, LightGBM
Skills:
Matplotlib, Machine Learning, Tableau, Sql, Tensorflow, Nosql, Pytorch, Data Visualization, Seaborn, Python, T5, Generative AI, Hugging Face Transformers, Statistics, GPT, R, BERT
Skills:
Nlp, Machine Learning, Statistical Modelling, Python, Generative AI, model validation, R, data exploration, feature engineering, operationalisation
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