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:

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:

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, Big Data and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are working on building the best analytics consulting company in the world.

We are currently seeking a dynamic and experienced Recruiter to join our Talent acquisition team.

Responsibilities:

Talent Acquisition:

• Execute end-to-end recruitment processes, from sourcing and screening to interviewing and onboarding.
• Identify and attract top talent through various channels, including job boards, social media, and professional networks.

Candidate Relationship Management:

• Build and maintain strong relationships with candidates throughout the recruitment process.
• Provide a positive candidate experience and act as the main point of contact for candidates.

Collaboration with Hiring Managers:

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the retail & CPG industry, with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are looking for a Principal Data Scientist with a strong blend of analytical skills, deep knowledge of data science methodologies, and practical experience in applying algorithms to real business challenges to join our team.

Key Responsibilities:

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.

Job Description:

As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers that support, build, and enable Machine capabilities across the organization. You will work closely with internal customers and infrastructure teams to build our next generation data science workbench and ML platform and products. You will be able to further expand your knowledge and develop your expertise in modern Machine Learning frameworks, libraries and technologies while working closely with internal stakeholders to understand the evolving business needs. If you have a penchant for creative solutions and enjoy working in a hands-on, collaborative environment, then this role is for you.

Requirements

What you'll do in the role:

About Signal Ocean:

Signal Ocean is the technology arm of the Signal Group. Our primary product, The Signal Ocean Platform, enables shipping professionals to securely handle, integrate, and assess intricate collections of private and public shipping data. Driven by advanced machine learning and artificial intelligence, our technology suite provides tailored, exclusive insights that support our clients in achieving performance and efficiency. Insights are delivered over web and mobile applications, as well as through a rich set of APIs and SDKs. Our backend architecture is abstracted to modularly offer deep analytics capabilities that are leveraged in the solutions that we offer or can be directly embedded in our client’s system topologies.

The team: The team oversees the data, models, and relevant backend infrastructure responsible for modeling the global shipping market, monitoring movements, and commodity trades. The role is integral to this process, centered on the development of production-ready online NLP models designed to understand and interpret vital information within a variety of shipping reports. 

About the role: 

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, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are seeking an experienced BI Full Stack Developer specializing in Tableau. The ideal candidate will be responsible for end-to-end Tableau dashboard development and design, managing the entire development lifecycle from requirements gathering to deployment, with a strong focus on stakeholder collaboration and management.

Key Responsibilities:

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

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:

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 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 analytics global consulting team in the world.

The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. The right candidate will have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business challenges.We are looking for someone who can bring their vision to the table and implement positive change in taking the company's data analytics to the next level.

Requirements