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Data Scientist
Data Scientist at Decide4AI (based in Madrid, remote from anywhere in the world) building machine learning, deep learning and forecasting models for business problems across diverse sectors. Core stack is Python (Scikit-learn, Keras/TensorFlow) with model deployment on AWS, Google Cloud or Azure.
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…
Machine Learning Engineer
Machine Learning Engineer on Viking's Data Platforms & Solutions team in Los Angeles, designing, deploying, and operating production ML systems for demand forecasting, pricing, inventory, and recommendations. Core stack is Python, SQL, Spark, Databricks, and MLflow with a strong MLOps focus.
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.



Senior Software Engineer, Machine Learning
Senior ML engineer on DoorDash's grocery/retail catalog team, designing, training, deploying and monitoring production machine learning models that keep the product knowledge graph accurate and semantically rich. Core stack includes PySpark, Snowflake SQL, PyTorch/scikit-learn-style frameworks, and AI coding tools like Claude Code and Cursor.



