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 Data Scientist | Product in New York, San Francisco.

As a Senior Data Scientist in the Product team, you will play a pivotal role in shaping the future of Ramp’s data science initiatives. You’ll lead product research and experimentation, contributing to product and operational roadmaps to enhance the customer onboarding and activation experience. By partnering with various teams, you will apply advanced analytics to improve processes and the customer journey, enabling the company to continuously improve and optimize user engagement.

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 Chemical Process Engineer in the United States or Canada.

In this role, you will play a crucial part in advancing the mining industry's approach to mineral processing by evaluating and implementing innovative technologies to process and refine ore. You will design and implement tests with processing partners, optimizing processes like flotation, leaching, and hydrometallurgy. Working closely with metallurgists and commercial teams, you will identify environmentally optimal and cost-effective methods to process ore from KoBold's projects and contribute to the sustainable energy transition.

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 Senior Machine Learning Engineer, remotely from the United States.

As a Senior Machine Learning Engineer, you will work alongside a team of machine learning engineers and clinical experts to build and deploy machine learning models aimed at automating clinical practices. The role involves developing scalable ML systems, focusing on tasks like data retrieval, classification, and generating insights from both structured and unstructured data. Your contributions will directly impact the improvement of healthcare processes through AI-driven innovations. You will also mentor junior engineers while collaborating with cross-functional teams to ensure the alignment of ML solutions with the company’s broader objectives.

Accountabilities:

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