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Design and deploy ML systems (CNN, RNN, LSTM), optimize MLOps pipelines, and run distributed training using Spark and Kubernetes in a fully remote, short-term contract role.
Design and deploy advanced ML models (CNNs, RNNs, LSTMs) using Kubernetes and MLOps pipelines; optimize models for scale with distributed training and Apache Spark.
Design, optimize, and deploy deep learning models using Python, PyTorch, and TensorFlow on AWS/GCP in a fully remote, hourly contract role.
An AI Research Engineer develops and deploys machine learning models, conducts research, and collaborates with teams to solve complex problems using Python, TensorFlow, PyTorch, and NLP/Computer Vision techniques.
Senior Computer Vision Engineer builds AI-powered visual systems for retail robots, focusing on barcode/QR scanning, product recognition, and edge deployment using OpenCV, PyTorch, and ROS2.
The Research Engineer will develop and deploy AI algorithms for digital health projects at the Asian Centre for Health Behavioural Insights & Interventions. The role involves managing research operations, collaborating with clinical teams, and publishing findings in high-impact journals.
Develops AI agents and automation tools for electronic design workflows, integrating LLMs, simulation engines, and EDA software using Python and modern AI/ML techniques.
Develop AI models to analyze soil images and XCT scans for geotechnical labs, classifying soil structures and assessing sample quality to support digital soil analysis and Marine Ground Digital Twin initiatives.
Lead a team of data scientists and AI engineers to build and deploy AI models that accelerate biologic drug development, including LLMs for knowledge retrieval, digital twins for process optimization, and agentic systems for regulatory authoring.
Senior MLOps Engineer in Singapore builds and maintains AWS-based pipelines to deploy, scale, and monitor machine learning models for manufacturing and semiconductor analytics, focusing on GenAI and classical ML workflows.
Staff Engineer leading architecture, design, and hands-on development of enterprise AI/GenAI solutions—LLMs, RAG, and agentic workflows—using Python, FastAPI, LangChain/LangGraph, and Azure OpenAI at a global life-sciences company.
Hands-on technical leadership role designing, developing, and deploying advanced AI/ML solutions—including LLM applications, RAG, and agentic workflows—for scientific products at a major life sciences company. Core stack: Python, PyTorch, LangChain, LangGraph, Azure OpenAI, and vector search.
Develops and deploys generative AI and deep learning solutions for Citi’s Treasury & Trade Services, extracting insights from unstructured data (emails, call transcripts) to drive client experience and revenue growth. Core focus: end-to-end AI product delivery, LLM fine-tuning, RAG systems, and MLOps for production-grade GenAI.
The Senior Principal Data Scientist will implement data science and AI methodologies to analyze patient-level clinical and real-world data to support drug development decisions. The role requires expertise in R, Python, and statistical modeling to collaborate with internal and external partners on clinical trials.
Hands-on senior AI/ML engineer leading the design, development, and production deployment of LLM, RAG, and agentic AI solutions for life sciences and healthcare applications using Python, PyTorch, LangChain, and Azure OpenAI.
Leads end-to-end AI/ML development for scientific workflows, deploying LLMs, RAG, and agentic systems in healthcare/genomics to improve customer outcomes and innovation.
The Data Scientist will work at the National Library of Medicine to process and analyze biomedical information using NLP, machine learning, and statistical modeling. The role involves collaborating with researchers and healthcare professionals to support research prioritization through data-driven insights.
The Senior Data Scientist will lead analytics projects, apply machine learning and statistical techniques to solve business problems, and mentor team members. The role requires proficiency in Python, SQL, and data visualization tools to deliver high-impact solutions for Caterpillar's global business units.
The Data Scientist will design, develop, and deploy scalable machine learning and AI solutions, focusing on Generative AI, LLMs, and NLP models. The role involves end-to-end ownership of projects, from data analysis and feature engineering to production deployment and monitoring using Python and PySpark.
Designs and deploys AI/ML algorithms for processing geophysical sensor data (seismic, acoustic, hydro-acoustic, infrasound) to support U.S. Air Force missions, focusing on deep learning architectures and signal detection.
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