Network Infrastructure Engineer - AI Data Platform

Location: Hybrid - Ashburn

Compensation: $125K - $150K

Join a lean, technical team building the critical infrastructure that delivers massive amounts of web data to companies training the world’s most powerful AI models. We operate a vast distributed crawler, granting unique access to high-quality public web data at a global scale. Our work involves building advanced pipelines for ingesting, segmenting, and annotating billions of videos, transcripts, and audio files, directly powering dataset creation for frontier AI labs.

We are looking for a talented Network Infrastructure Engineer with significant experience in infrastructure and network architecture design. You will be responsible for building and maintaining the robust physical and cloud infrastructure that powers our AI-driven platform. Your work will directly impact the efficiency, security, and performance of our systems at massive scale.

This role requires deep expertise across network architecture, physical deployment, cloud services, and automation (Infrastructure as Code).

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 someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

RESPONSIBILITIES:

Member of Technical Staff - Applied AI / ML Engineer

Location: San Francisco, CA (Union Square)

Employment Type: Full-time

Work Arrangement: On-site 5 days a week

About the Role

Our client is a GenAI-native platform that automates complex tax document processing, serving top accounting firms and wealth management offices. The platform was recently acquired by Thomson Reuters and is operating as a fast-paced, high-growth startup within a larger structure.

They are seeking an exceptional Member of Technical Staff (MTS) focused on ML Product. This is a high-ownership role crucial for scaling their platform to millions of documents, requiring strong fundamental understanding of how to build, measure, and iterate on commercial ML systems for the enterprise.

What You’ll Be Doing

About Signal Ocean: Signal Ocean is the technology arm of the Signal Group. Our primary product, The Signal Ocean Platform, helps shipping and commodities professionals navigate their complex decision making. Driven by advanced machine learning and artificial intelligence, our technology suite provides tailored, exclusive insights that support our clients in achieving performance and efficiency. By securely handling and combining private and public shipping data flows, and applying advanced analytics, 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.

About the role:  We are looking for a motivated and detail-oriented Associate Product Manager to join our Vessels API squad in Athens. This is a hands-on role working with one of the largest vessel datasets in the industry - over 50,000 Tanker, Dry, LNG, and LPG vessels, each with more than 100 key particulars ranging from dimensions and cargo-handling equipment to ownership and sanctions.

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:

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 have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a Senior Data Steward Manager to join our team. In this role, you will be responsible for overseeing the management and governance of data assets within the organization. You will work closely with cross-functional teams to ensure data quality, compliance, and privacy.

Requirements

• Preference will be given to candidates located in the Plano, TX or Purchase, NY area and are able to be in office on a hybrid schedule

• Support the global Integrated Business Planning (IBP) program to identify and validate data sources to fulfill IBP requirements.

• Identify data sources and partner with business and tech teams to address gaps; check that joining of different data sources generates a meaningful final dataset for a particular use case.

• Perform trend and/or pattern analysis

• Support source to target mapping (STTM)

• Conduct business-facing, data quality rule definition and capture

• Complete data cataloging for assigned assets while adhering to global governance standards