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Quantitative Software Developer
Builds and maintains trading systems and research infrastructure for a quantitative hedge fund, using Python, C/C++, and numerical libraries to automate alpha estimation, backtesting, and portfolio construction.
Machine Learning Engineer, GenAI Technology
Design and build AI/ML systems for a global investment firm, integrating generative and traditional models into trading platforms using Python, TensorFlow/PyTorch, and cloud infrastructure.
CIENTISTA DE DADOS SR
Senior Data Scientist at Neohype who structures and analyzes large datasets, builds statistical and machine learning models, monitors KPIs/dashboards and data pipelines, and ships models to production in partnership with business teams. Core stack: Python, SQL, ML/MLOps, cloud (AWS/Azure) and BI tools, in a hybrid role based in Vila Olímpia (São Paulo).
Research Engineer
Hudson River Trading (HRT) is a quantitative trading firm at the forefront of technological innovation. We build and deploy cutting-edge systems within one of the world’s most advanced computing environments to power…
Junior Data Scientist
Junior Data Scientist at Veloxio Technologies, a startup building AI/ML and web solutions for clients. The role involves building and deploying ML models, Generative AI/LLM applications (RAG, embeddings, AI agents), and data pipelines, working directly under the CTO. Core stack is Python with Pandas, NumPy, and Scikit-learn.
Software Engineer II-Hybrid Role
Mid-level software engineer at Payarc, a payments company, who designs, builds, and maintains payment applications, APIs, and backend services with limited guidance in a PCI DSS-compliant environment. Works across a broad stack including PHP/Laravel, Java, Python, React, AWS, and Docker/Kubernetes; hybrid role based in Greenwich, CT.
ML Engineer – Generative AI & LLMs (Remote)
We’re looking for Machine Learning Engineers who are passionate about building cutting-edge systems with LLMs and real-world data. In this role, you’ll work closely with clients and teammates to design, prototype, and…
AI & Data Science Engineer
Data Scientist at DXC Technology in Bari (hybrid/smart working) supporting AI and Generative AI projects for clients — building ML, NLP and computer-vision solutions and helping with presales materials. Needs 2–5 years of Gen AI experience with Python, TensorFlow, PyTorch and Scikit-learn; gross annual salary from €38,000.
Lead Data Scientist
ParetoHealth, a healthcare benefits captive, is hiring a Lead Data Scientist to independently own end-to-end predictive underwriting and pricing workstreams — from problem framing and feature engineering through model deployment, monitoring, and business-impact measurement. Core stack: Python, SQL, scikit-learn/XGBoost, PySpark, and AWS-based MLOps.
Data Scientist
Data Scientist at digital marketing agency Monks in Mexico City, building predictive models, segmentation, churn, and recommendation solutions for client projects. Day-to-day spans data mining, ML model development and deployment using Python/R, cloud platforms, SQL databases, and BI tools, working closely with analytics and account teams.
Senior Quantitative Developer
Senior Quantitative Developer on Man Systematic's front-office engineering team in Boston: builds trading signals, dataset pipelines, portfolio optimization tools and research platform features alongside quant researchers. Stack is Python (Pandas/NumPy/SciPy) with Java for high-throughput systems, MongoDB/MS SQL, and a Linux toolchain (Airflow, Kafka, Docker).
AI Engineer
AI Engineer at Ford in Dearborn, MI (on-site 4 days/week) building analytical, machine learning, and AI solutions to improve customer experience, revenue, and efficiency. Works the full ML lifecycle — preprocessing, feature engineering, training, evaluation, deployment — using Python (TensorFlow, PyTorch, scikit-learn), GenAI, and cloud/AI platforms.
Freelance Data Science Engineer (Python & SQL)
Freelance, project-based role at Mindrift: design and verify original computational data science problems (Python with pandas/numpy/scikit-learn, plus SQL) that simulate real-world business workflows to support GenAI model training. Estimated 10-20 hours/week during active project phases, paid up to $55/hour.
[NA] Data Scientist Senior Dataiku – Banque – GCP – GenAI
Senior data scientist embedded in a large banking group's Data & AI department, building generative and predictive AI use cases: designing and industrializing workflows in Dataiku, preparing data, training and deploying models, and integrating with GCP (BigQuery, GCS, IAM).
Product Engineer (Advance Data Analytics), Heterogeneous Integration Group...
Product Engineer in Micron's HBM Product Engineering Advanced Data Analytics team, driving semiconductor yield and quality improvement through statistical analysis, machine learning, and AI models, while building data infrastructure pipelines and collaborating with cross-functional teams. Onsite in Singapore with travel to Taiwan.
Remote Machine Learning Engineer - Big Data Analytics
Fully remote machine learning engineer for a data analytics firm, owning the end-to-end ML lifecycle — building data pipelines, training and deploying models on big data tech like Spark/Hadoop — using Python/Scala, cloud ML services, and MLOps practices.
Binance Accelerator Program - Data Scientist (User Growth)
Data science intern in Binance's Accelerator Program (Singapore) building user-growth algorithms for the world's largest crypto exchange: user segmentation, LTV/churn prediction models, incentive strategies, and A/B tests. Core stack is Python (NumPy, Pandas, Scikit-learn) plus SQL and classical ML models.