Applied ML Scientist
11 hours ago
ABOUT 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 scientists, including from Stanford University, leveraging cutting edge technology to predict patient risk and provide tools that drive timely intervention. POSITION DESCRIPTIONAs 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.Requirements2+ 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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Principal ML Scientist
12 hours ago
bangalore, India 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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Principal ML Scientist
9 hours ago
Bangalore, India Nykaa Full timePrincipal Machine Learning Scientist - Applied Sciences(New Initiatives) About Nykaa Nykaa 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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Principal ML Scientist
5 hours 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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Senior Ai/ml Scientist
2 weeks ago
Bangalore, Karnataka, India Maersk Full timeSenior AI ML Scientist Key responsibilities Partner with business product and engineering teams to define problem statements evaluate feasibility and design AI ML-driven solutions that deliver measurable business value Lead and execute end-to-end AI ML projects from data exploration and model development to validation deployment and monitoring in...
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Applied Scientist, SSG Science
2 weeks ago
Bangalore, India ADCI - BLR 14 SEZ Full timeAmazon Devices is an inventive research and development company that designs and engineer high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health Wellness, Amazon Echo & Astro products. This is an exciting opportunity to join Amazon in developing state-of-the-art techniques that bring Gen AI on edge for our consumer products....
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Bangalore, Karnataka, India NetApp Full timeJob Summary NetApp is seeking a Data Applied Scientist to join the Data Services organization The overarching vision of this organization is to empower organizations to effectively manage and govern their data estate and build cyber-resiliency while accelerating their digital transformation journey To get to this vision we will embark on an AI-first approach...
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Ai/ml Scientist
1 week ago
Bangalore, Karnataka, India Maersk Full timeAI ML Scientist - Global Data Analytics Technology Maersk This position will be based in India - Bangalore A P Moller - Maersk A P Moller - Maersk is the global leader in container shipping services The business operates in 130 countries and employs 80 000 staff An integrated container logistics company Maersk aims to connect and simplify its customers...
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Applied Scientist
2 weeks ago
Bangalore, India Microsoft Full timeOverview Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world.The Business & Industry Copilots group is a rapidly growing organization that is responsible...
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Applied Scientist II
2 weeks ago
Bangalore, India ADCI - Karnataka Full timeSelection Monitoring team is responsible for making the biggest catalog on the planet even bigger. In order to drive expansion of the Amazon catalog, we use machine learning and cluster-computing technologies to process billions of products and algorithmically find products not already sold on Amazon. We work with structured, semi-structured and Visually...
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Data Scientist
2 weeks ago
bangalore, India Vista Applied Solutions Group Inc Full timeJob Summary: Client is looking for Data Scientist and this is remote position from India. Responsibilities: Collaborate with cross-functional teams to identify business problems and translate them into actionable data science projects. Perform data exploration, cleaning, feature engineering, and model selection for optimal performance, leveraging the...
