Design, build, and optimize scalable data platforms supporting analytics, AI/ML, and enterprise reporting.
Develop and maintain complex data pipelines using AWS Glue, Step Functions, and Databricks Workflows.
Collaborate with product, engineering, analytics, and ML teams to transform complex data challenges into reliable solutions.
Jobgether uses AI to match candidates with job openings for faster, fairer reviews. It is a technology platform focused on streamlining the hiring process for both candidates and employers.
Build and deploy machine learning models to detect and respond to fraud across the platform.
Design experiments to measure the impact of fraud interventions, balancing customer experience and loss reduction.
Collaborate with fraud operations, engineers, and product managers to translate model outputs into real-world mitigations.
Moniepoint is Africa's fastest-growing fintech, trusted by over 10 million business and individual accounts, processing billions in transactions monthly. They have a people-first culture focused on learning and inclusion, valuing diversity and employee well-being.
Create original financial documentation, including reports, valuation models, and investment analyses, to enhance AI understanding of complex financial concepts.
Produce self-authored materials in Word or PDF formats, incorporating structured insights with tables, charts, and visual representations.
Contribute documentation of varying lengths (typically 10–100 pages) and ensure content reflects strong financial reasoning and accuracy.
Jobgether is a job matching platform that uses AI to connect candidates with hiring companies. Their partner company is seeking a Financial Documentation Expert to contribute to AI training data quality, offering a flexible contractor setup for experienced finance professionals.
Build and maintain scalable machine learning solutions in production.
Train and validate deep learning and statistical models for real-world applications.
Partner with product managers and engineers to define requirements and drive ML roadmap.
Twilio is a cloud communications platform that empowers businesses to build personalized customer experiences through APIs. With thousands of employees worldwide, the company champions a remote-first culture focused on inclusion and innovation.
Design original graduate-level computational problems to evaluate AI systems on advanced scientific and engineering workflows.
Develop realistic research scenarios involving Bayesian statistics, applied mathematics, numerical simulations, and optimization.
Create Python-based validation scripts, problem setups, and evaluation criteria to assess AI-generated solutions.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It is a growing company focused on efficient and objective recruitment processes.
Design and implement scalable, low-latency real-time data streaming architectures and end-to-end data pipelines for high-volume systems.
Develop clean, maintainable, and efficient code using technologies such as Go, Python, TypeScript/Node.js, Scala, and SQL.
Build and optimize complex data processing workflows handling structured and unstructured data sources.
Our partner is looking for a Sr. Data Engineer - Data Analytics based in India. The company operates in a global, remote-first environment with a multicultural team spanning 45+ nationalities, focusing on work-life balance and employee well-being.
Lead design and implementation of enterprise-grade data architectures across SQL Server and PostgreSQL.
Define data modeling standards, optimize performance, and manage multi-tenant data architectures.
Collaborate with engineering teams to align database structures and provide technical leadership.
Jobgether uses an AI-powered matching process to connect candidates with hiring companies. They operate globally and emphasize a non-hierarchical culture that values expertise and innovation.
Coordinate assigned project workstreams to ensure on-time delivery against execution standards.
Partner with client teams to validate quote assumptions, analyze datasets for insights, and provide data-backed findings.
Maintain version control and translate QA findings into targeted improvements to reduce recurring annotation errors.
Appen has been a leader in AI training data for over 30 years, specializing in human-generated data to train, fine-tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition. With a global crowd of over 1 million contributors in more than 200 countries, the company fosters a culture of innovation, collaboration, and excellence.
Design, implement, and maintain ETL/ELT pipelines for clean, scalable data flows across multiple systems.
Own data warehouse architecture, including partitioning, access controls, and security in partnership with Security and Infrastructure teams.
Champion data quality and governance, building dashboards and analytics to deliver actionable insights for leadership and cross-functional teams.
CertifID protects life's largest transactions from fraud, helping title companies, law firms, lenders, and consumers safeguard billions of dollars from wire fraud daily. They are a growth-minded team passionate about securing sensitive data and transforming fraud prevention.
Design, develop, and maintain scalable data pipelines using Microsoft Azure services.
Build and optimize cloud-based data solutions with Azure Data Factory and Azure Data Lake.
Collaborate on cross-functional teams to translate business requirements into efficient data engineering solutions.
Jobgether is a job matching platform that uses AI to connect candidates with hiring companies. They operate remotely and focus on efficient, data-driven recruitment for partner companies.