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 Principal AI Engineer - Servicing Solutions in the United States.

As a Principal AI Engineer, you will define the technical vision for integrating cutting-edge AI-driven solutions into a loan and lease servicing platform. This involves collaborating with leadership, product, and engineering teams to build scalable, AI-powered automation and decision-making systems. You will play a pivotal role in driving the transformation of the servicing business, using AI technologies like Large Language Models (LLMs) and agentic systems to enhance efficiency and scale.

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 Director, AI Research in San Francisco, CA.

In this strategic leadership role, you will oversee cutting-edge AI research initiatives, focusing on advanced language models and reasoning agents. You will be responsible for shaping the research direction, driving innovation, and leading a talented team of researchers. By collaborating with cross-functional teams, you will ensure the integration of research into real-world products and applications, while fostering a culture of excellence and continuous growth within the research organization.

Accountabilities:

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 Data Scientist in United States.

As a Senior Data Scientist, you will play a pivotal role in shaping and enhancing AI-driven financial crime detection solutions. You will develop, deploy, and optimize machine learning models focused on anomaly detection to detect money laundering and fraudulent activities. In this hands-on role, you will collaborate with cross-functional teams, guide junior data scientists, and engage with customers to ensure that AI solutions are scalable, reliable, and meet market expectations. This is an exciting opportunity to contribute to impactful, cutting-edge technologies in the fight against financial crime.

Accountabilities:

Jobgether has ALL remote jobs globally. We match you to roles where you're most likely to succeed, and provide feedback on every application to help you learn. No more guesswork, application black holes, or recruiter ghosting in your job search.

For one of our clients, we are looking for a Technical Product Manager - AI, remotely from United States.

As a Technical Product Manager (AI), you will play a pivotal role in the development and optimization of AI-powered products. Your primary responsibility will be to manage the product lifecycle, from conception to release, ensuring alignment with both user needs and business goals. You will collaborate closely with cross-functional teams, including engineering, data science, and business leaders, to ensure the successful delivery of AI-driven solutions. You will also leverage your expertise in AI and machine learning to guide product strategy and roadmap, while keeping a focus on continuous product improvement.

Accountabilities:

AHOY is seeking a talented AI Engineer to join our innovative team dedicated to pushing the boundaries of artificial intelligence technology. In this role, you will develop and implement AI models and algorithms that enhance our products and services. You will be a critical player in designing solutions that optimize operations, improve user experience, and drive business results.

Key Responsibilities:

• Design and develop AI-based applications including machine learning models, natural language processing tools, and predictive analytics solutions.
• Implement algorithms and models to improve performance and scalability across various platforms.
• Collaborate with data analysts and software engineers to gather requirements and translate business needs into technical specifications.
• Analyze large datasets to derive actionable insights and enhance existing AI models.
• Conduct research on advanced AI algorithms and technologies, evaluating their applicability to current projects.
• Document processes, methodologies, and technical specifications to facilitate knowledge sharing within the team.
• Monitor model performance and iterate on design based on real-world feedback and data.

Requirements

Qualifications:

Tiger Analytics is looking for experienced Machine Learning Engineers to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:

• ML Engineer with 5-7 years of IT experience.
• Pipeline Training Models, Building, Deployment, Testing, and Monitoring using AWS SageMaker, AWS CFT, AWS CodePipeline, Lambda, etc.
• Develop Airflow DAGs to run training and scoring pipelines
• Develop a Testing framework with Pytest
• Implement monitoring solution with homebrew solution using Lambda and Dash
• Develop Data Quality solutions potentially leveraging Great Expectations.

Requirements

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a motivated and passionate Machine Learning Engineers for our team.

As part of this job, you will be responsible for:

• Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions
• Creating Scalable Machine Learning systems that are highly performant
• Building reusable production data pipelines for implemented machine learning models
• Writing production-quality code and libraries that can be packaged as containers, installed and deployed

Requirements