About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Full Stack Software Engineer in Canada.

Join a mission-driven engineering team building software that is accelerating scientific discovery on a global scale. In this role, you'll help develop high-impact products used by millions of scientists, contributing to a dynamic and evolving digital ecosystem. You’ll work across the full stack with technologies like Node.js, React, TypeScript, and AWS. This role offers the chance to influence architecture decisions, collaborate on best practices, and help scale secure, maintainable, and high-performance applications. It’s an opportunity to contribute to meaningful advancements in science while growing within a collaborative, remote-friendly environment.

Accountabilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Software Engineer in United States.

We are seeking a skilled and detail-oriented Software Engineer to develop scalable systems that support forecasting, data analytics, and automated decision-making processes. In this role, you will build and optimize high-performance backend systems, work closely with research teams to implement predictive models, and ensure data flows seamlessly across internal and external platforms. You will play a crucial role in developing infrastructure that enables data-driven market operations and ensures reliability and speed across systems. This is a remote-friendly role available from anywhere within the U.S.

Accountabilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Software Engineer - Data Engineering in India.

This role offers an exciting opportunity for a seasoned data engineer to design, build, and optimize robust, scalable data pipelines that support AI-driven analytics and large-scale data processing. You’ll work with technologies such as Apache Spark, Kafka, and Databricks to develop real-time and batch solutions, integrate machine learning models, and contribute to the company’s growing data infrastructure. Collaboration with cross-functional teams including data science and product engineering will be key as you build systems that drive innovation and performance across a global user base.

Accountabilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Data Platform Engineer in the United States.

As a Data Platform Engineer, you’ll play a key role in designing and improving scalable data infrastructure and pipelines that empower analytics and product decisions. You’ll collaborate with cross-functional teams to build efficient systems that ensure data quality, reliability, and security. Your work will focus on enhancing performance, observability, and scalability across the organization’s modern data stack. This role offers the opportunity to make a real impact on how data is used throughout the business, all while working in a remote-first environment with a strong engineering culture.

Accountabilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for an AI Architect in United States.

This is a high-impact opportunity for a senior-level AI expert with hands-on experience deploying machine learning and natural language processing systems at scale. The role involves architecting and implementing production-grade AI solutions, especially within healthcare environments where data privacy and compliance are critical. You will collaborate with product, engineering, and leadership teams to shape AI strategy, develop scalable models, and guide the integration of AI across the organization. If you thrive on transforming AI concepts into real-world systems that deliver measurable value, this is the role for you.

Accountabilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our partner companies is currently looking for a Software Engineer, ML Infrastructure based in Canada.

In this role, you'll join a fast-paced, cross-functional team building the infrastructure that powers the future of AI-driven robotics. You'll work on scalable systems to process and manage vast amounts of sensor and training data, enabling high-performance ML workflows. From optimizing data pipelines and automating workflows to integrating with annotation tools and supporting robust CI/CD practices, you’ll play a critical role in accelerating the development and deployment of machine learning models. This is a unique opportunity to help shape the technical foundation of cutting-edge autonomy systems in a collaborative and mission-driven environment.

Accountabilities:

About Jobgether

JJobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for an MLOps Engineer in India, Malta, and the United Kingdom.

In this role, you will be responsible for building and optimizing machine learning pipelines, ensuring the quality of data, automating model retraining and validation, and creating systems for monitoring models in production. The ideal candidate will bring a deep understanding of Python and MLOps principles, as well as an attention to detail and a thoughtful approach to problem-solving. You'll be working with advanced technologies to enhance model performance and contribute to the company’s ML operations.

Accountabilities:

• Design and build ELT pipelines for efficient data processing and analysis.
• Construct automated MLOps pipelines for continuous model retraining and validation.
• Implement CI/CD pipelines to ensure smooth deployment of machine learning models and services.
• Develop services to monitor the performance and health of machine learning models in production environments.
• Collaborate with cross-functional teams to optimize model performance and maintain high standards of data quality.

Requirements