[Urgent Search] Applied ML Scientist
5 days ago
ABOUT SAIVA AI SAIVA AI applies machine learning to make optimal use of electronic health data for the most vulnerable healthcare population. Our mission is to improve patient outcomes by augmenting clinical decision-making with the power of AI. Based in Silicon Valley, our team is a group of passionate healthcare technology veterans, engineers, and data scientists, including from Stanford University, leveraging cutting edge technology to predict patient risk and provide tools that drive timely intervention. POSITION DESCRIPTION As an Applied ML Scientist, you will use your extensive experience to build and improve models across structured + unstructured clinical data, pairing boosting models (like xgboost) with language models (LLM APIs, smaller Transformers you will fine tune or train) to lift real-world impact. You’ll prototype fast, run rigorous evaluations, and deliver sound research code that our MLEs will harden & optimize and our MLOps will ship & monitor. RESPONSIBILITIES In this position you will: - For a given task, ship a prompted LLM baseline → fine-tuned small LM or BERT-class model, comparing precision@recall, cost, and latency. - Build light RAG/explainability: return the strongest supporting sentence/span from notes that justifies the classification. - Leverage domain NER (don’t rebuild it) to target specific acute phenotypes and improve downstream classifiers. - Distill/quantize to hit latency/cost SLOs while preserving recall; hand off clean checkpoints/configs/eval harnesses. - Work hands-on in Python, Jupyter, Git, SQL, MLflow; AWS (EC2/ECS/S3) or equivalent cloud. Requirements - 2+ years in industry doing hands-on NLP (IC), across prompting, fine-tuning, and training BERT-class models. - Evidence of high-recall use cases with calibration and defensible thresholds; comfort with noisy note text. - Undergrad degree required in Computer Science or Computational Linguistics (strong quantitative background). - Nice to have: visible healthcare NLP work (papers, preprints, GitHub).
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Applied ML Scientist
4 days ago
India SAIVA AI Full timeABOUT SAIVA AISAIVA AI applies machine learning to make optimal use of electronic health data for the most vulnerable healthcare population. Our mission is to improve patient outcomes by augmenting clinical decision-making with the power of AI. Based in Silicon Valley, our team is a group of passionate healthcare technology veterans, engineers, and data...
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Applied ML Scientist
3 days ago
India SAIVA AI Full timeABOUT SAIVA AI SAIVA AI applies machine learning to make optimal use of electronic health data for the most vulnerable healthcare population. Our mission is to improve patient outcomes by augmenting clinical decision-making with the power of AI. Based in Silicon Valley, our team is a group of passionate healthcare technology veterans, engineers, and data...
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Applied ML Scientist
5 days ago
india, IN SAIVA AI Full timeABOUT SAIVA AISAIVA AI applies machine learning to make optimal use of electronic health data for the most vulnerable healthcare population. Our mission is to improve patient outcomes by augmenting clinical decision-making with the power of AI. Based in Silicon Valley, our team is a group of passionate healthcare technology veterans, engineers, and data...
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ML Scientist II
5 days ago
Bengaluru, Karnataka, India, Karnataka Nykaa Full timeAbout the Team: Join the dynamic Nykaa Data Science team as a Machine Learning Scientist II. In this role, you will contribute to analyzing data and developing machine learning models that enhance the relevance and ranking of our search platforms. You will work closely with cross-functional teams to gather performance metrics, evaluate search outcomes, and...
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Senior Applied Scientist
3 weeks ago
India Microsoft Full timeJob Description We are partof Web Experiences and Services Team (WEST) within the Office Online Product Group, focused on building AI Ops solutions for Online Microsoft Word, Excel, PowerPoint, OneNote, and their shared services. Our mission is to leverage AI and ML to enhance live site management, automate incident resolution, accelerate root cause...
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Principal ML Scientist
5 days ago
Bangalore Urban, Karnataka, India, IN Nykaa Full timePrincipal Machine Learning Scientist - Applied Sciences(New Initiatives)About NykaaNykaa is India's leading beauty and lifestyle destination. We are a consumer-tech company, offering a portfolio of beauty, personal care, and fashion products through our online platforms and retail stores.At our core, we are powered by technology and data, and our Data...
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Urgent! AI/ML
1 week ago
Noida, India KiwiTech Full timeJob Description Job Description - 3+ years of experience in ML and AI, with a strong track record of leading and delivering complex ML and AI projects. - In-depth knowledge of ML and AI concepts, algorithms, and techniques, including supervised and unsupervised learning, reinforcement learning, and neural networks. - Proficiency in programming languages such...
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Senior Applied Scientist
1 day ago
India Microsoft Full timeJob Description Do you want to be part of a team which delivers innovative products and machine learning solutions across Microsoft to hundreds of millions of users every month Microsoft Turing team is an innovative engineering and applied research team working on state-of-the-art deep learning models, large language models and pioneering conversational...
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Data Scientist
3 days ago
india Recro Full timeTech Stack Modeling & ML Frameworks:Python, scikit-learn, PyTorch, TensorFlow — spanning classical ML, deep learning, and transformer-based architectures. Includes modern ensemble methods (XGBoost, LightGBM) for large-scale structured modeling. Applied Domains: Ranking, Recommendation, Dynamic Pricing, Forecasting, Supply–Demand Optimization, Semantic...
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Data Scientist
3 days ago
India Recro Full timeTech Stack Modeling & ML Frameworks:Python, scikit-learn, PyTorch, TensorFlow — spanning classical ML, deep learning, and transformer-based architectures. Includes modern ensemble methods (XGBoost, LightGBM) for large-scale structured modeling. Applied Domains: Ranking, Recommendation, Dynamic Pricing, Forecasting, Supply–Demand Optimization, Semantic...
