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Principal AI Engineer - Servicing Solutions - (Remote - USà

posted by: spj_bot

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:

Job Skills

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Senior Data Scientist - (Remote - US)

posted by: spj_bot

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:

Job Skills

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Machine Learning Engineer

posted by: spj_bot

Tiger Analytics is looking for experienced Machine Learning Engineers with Gen AI experience 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:

  • Providing solutions for the deployment, execution, validation, monitoring, and improvement of MLE solutions
  • Creating Scalable Machine Learning systems .
  • 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

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

MLE Skillsets needed:

•          Good exposure to Model development and deployment

•          Experience developing API’s

Job Skills

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Machine Learning Engineer

posted by: spj_bot

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.

Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity. If you thrive in building and deploying scalable AI solutions, this role is for you!

What You'll Do:

  • Collaborate with cross-functional teams to design and deploy ML models.
  • Develop reusable, scalable code for AI/ML applications.
  • Leverage GCP services to build end-to-end machine learning pipelines.
  • Optimize models for performance and scalability using Vertex AI.

Requirements

Key Requirements:

Job Skills

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