Remote Data Jobs

AmaliTech is seeking a Data Engineer to design, develop, and optimize data pipelines. The role involves assembling complex datasets, collaborating with data teams, and ensuring data quality. The work contributes to improving decision-making and operational efficiency across the organization.

Train and integrate Machine Learning and Deep Learning models and techniques including NLP, BERT, Transformers, Encoders, RAG, LLMs, and Agents. You will also develop machine learning pipelines, define and implement the metrics and evaluation of ML models, as well as apply statistical methods and hypothesis tests and perform data analysis and develop pipelines for processing big data.

Shape the future of AI as a Spanish (Latin America) language expert. Use your expertise in phonetics, morphology, syntax, semantics, pragmatics, and sociolinguistics of the Spanish language to challenge advanced language models, verify factual accuracy, and suggest improvements. Document failure modes and capture reproducible error traces to harden model reasoning.

We are looking for a Senior Data Science to join one of our USA Clients, a start-up working on an exciting climate change project. You will be part of a dynamic team building an AI-powered analytics and data platform to help reduce the carbon footprint of industrial manufacturing. Your work will focus on our back-end data pipeline and analytics stack, and you will be responsible for building a range of features and data services.

The Data Science team at Cash App derives valuable insights from our unique datasets and turns those insights into actions that improve the experience for our customers and agents every day. In this role, you’ll be embedded with Risk Operations in our Risk organization and work closely with the Behavioral Insights Team.

Play a pivotal role in ensuring the seamless delivery and optimization of our product for our esteemed retail clientele. Dive into a world of problem-solving and collaboration, where your technical prowess and excellent communication skills will be key in driving the success of our service and application features as well as its quality and performance. Work with existing retail customers to configure and update the product.

We are seeking a highly skilled Lead Data Engineer with strong expertise in PySpark, SQL, and Python. The ideal candidate will have a proven track record of designing, building, and maintaining scalable data pipelines in a collaborative and fast-paced environment.

We are looking for a Mid Level/Sr Data Engineer located in Brazil to work on a financial project for one of our largest clients. You will be responsible for building and maintaining data ingestion pipelines in a cloud environment, using Azure Databricks. The professional will be responsible for integrating data from various sources, ensuring quality, governance, and performance.

Build and integrate data pipelines for ingesting data, processing and serving features in real-time in a high throughput/low latency environment. Support multiple data models that serve critical data for FinCrime products (ML models, risk engine, etc.). Own our Feature Store development, expanding our feature engineering capabilities for stateless and stateful data for both offline and online serving.

This position is fully remote, reporting to the VP of Operations. You will lead, mentor, and grow a high-performing team responsible for the end-to-end implementation and ongoing maintenance of data feeds from carriers, TPAs, PBMs, and benefits administration systems.