Tech jobs
Job listings
DATA SCIENTIST III
Remote data scientist (level III) at Stone, Brazil's largest independent payments company, on the fraud-prevention team: building and scaling ML fraud-detection models, defining success metrics, and improving alert monitoring and model validation. Core stack: Python (scikit-learn, XGBoost) and SQL at scale (Spark, Databricks, BigQuery).
Machine Learning Engineer
Machine Learning Engineer on PitchBook's AI & ML (Insights) team, building and deploying end-to-end NLP/GenAI models (summarization, semantic search, classification) that extract insights from PitchBook's financial data. Stack centers on Python, SQL, transformers/LLMs, LangChain, Kafka, Airflow, Snowflake, and Docker/Kubernetes.
Sr. Machine Learning Engineer
Senior ML Engineer on PitchBook's AI & ML (Insights) team, building and deploying NLP, GenAI, and LLM-powered features that extract insights from PitchBook's structured and unstructured financial data. Day to day: end-to-end model design, training, deployment, and maintenance using Python, transformers, LLMs, and scalable data pipelines (Kafka, Airflow, Snowflake), onsite in Seattle 5 days/week.
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.