Member of Technical Staff - Applied ML

Full-time | On-site

Location: New York, NY

We are a rapidly growing AI enterprise focused on equipping professionals with teams of AI agents to automate complex, real-world workflows. We are seeking a highly autonomous Applied ML Engineer to own end-to-end projects that bring intelligence into production. This role is for engineers who want to operate like both researchers and builders, focused on shipping reliable, continuously improving agentic systems.

As a key member of our Machine Learning team, you will act as the Responsible Party (RP) for mission-critical systems. You will have full autonomy to scope, build, experiment, and decide when your solution is ready to ship, focusing on clarity, deep instrumentation, and safe, reliable operation.

What you’ll be doing:

Join HSO and help shape the future of AI-driven cloud solutions. We believe technology should empower people and businesses to thrive. If you’re passionate about building innovative, ethical, and reliable AI solutions and enjoy leading projects and sharing knowledge we’d love to hear from you! 

About the Role 
As our AI Architect, you’ll design secure, scalable AI solutions, guide strategy, and work with customers and global teams. You’ll lead exciting projects, influence technology adoption, and help drive innovation at HSO. 

Key Responsibilities 

• Develop and implement enterprise AI strategies, frameworks, and governance. 

• Lead end-to-end delivery of AI solutions (migration, modelling, testing, deployment). 

• Design scalable AI systems and apply responsible AI practices. 

• Ensure privacy, security, and regulatory compliance. 

• Mentor technical teams and foster best practices. 

• Partner with customers to identify opportunities and enhance solutions. 

• Deliver workshops and share emerging technologies across teams. 

Requirements

Core Technical & Design Skills 

Software Engineer (Full Stack, AI/Marketplace)

Location: NYC (100% On-site in SoHo)

Employment Type: Full-time

Salary Range: $140K - $210K

We are a rapidly growing, well-funded technology company (backed by world-class VCs) building the autonomous future of industrial staffing through fully orchestrated, multi-agent AI workflows. Our mission is to redefine labor management and drive peak efficiency across the global supply chain. We are seeking experienced, entrepreneurial engineers to build our foundational core product suite.

We are hiring across multiple seniority levels and both frontend/backend disciplines. You will partner directly with our CTO to own product decisions, architect foundational systems, and iterate on the product roadmap.

Key Responsibilities:

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

The DE + AI Solutions Engineer will design, build, and deploy advanced data, Generative AI (Gen AI), and Agentic AI solutions for key client projects. This role requires deep, mandatory hands-on expertise in Microsoft Azure and Databricks, focusing on translating complex business requirements into scalable, production-grade code, pipelines, and infrastructure.

Requirements

Client Engagement & Delivery:

• Collaborate directly with client stakeholders to gather requirements, present technical solutions, and manage expectations.

Technical Leadership & Expertise:

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

The Enterprise Solutions Architect will lead the architectural design and delivery of advanced data, Generative AI (Gen AI), and Agentic AI solutions for the assigned strategic account or cluster of growth accounts. This role requires deep, mandatory expertise in Microsoft Azure and Databricks, focusing on translating complex business requirements into scalable, production-grade technical solutions.

Requirements

Client Engagement & Delivery:

Software Engineer

Location: NYC (100% On-site in SoHo)

Compensation: $140,000 - $210,000 (Base Salary) + Competitive Equity

We are building the autonomous future of industrial staffing by developing fully autonomous, orchestrated multi-agent AI workflows to connect businesses with vetted workers. Backed by top-tier investors like Founders Fund and Khosla Ventures, our mission is to redefine labor management and drive the global supply chain to peak efficiency. We're seeking experienced and entrepreneurial Software Engineers to build our core suite of products across mobile and web.

You will join a dynamic team to build the foundational technology platform for both our workers and business customers. This role involves significant ownership, from product iteration to architectural design, in a fast-paced environment.

In this role, you will:

Member of Technical Staff - Applied ML

Location: New York, NY (100% On-site)

Compensation: $175,000 - $300,000 (Base Salary) + Highly Competitive Equity

We are a rapidly growing AI company that has achieved product-market fit by equipping accountants with a team of autonomous AI Agents to tackle real workflows. Backed by world-class investors and experiencing 10x revenue growth in the last five months, we are scaling fast. We are looking for an Applied ML Engineer to take full ownership (Responsible Party, or RP) of end-to-end projects, reasoning, experimenting, and shipping agent systems that get smarter over time.

This is a high-autonomy role for engineers who want to operate like researchers and builders simultaneously. You will have the freedom to scope projects, define success, run experiments, and decide when systems are ready to ship, always designing for clarity and instrumenting deeply.

What you’ll be doing:

Our client is a well-funded, early-stage AI company with a bold mission to reinvent wealth management. They are building a unified, AI-native platform to automate the entire wealth management stack, which is one of the largest and most fragmented sectors in financial services. With a $15.5M seed round from top-tier VCs like General Catalyst and Venrock, and a team of just three employees, this is a unique opportunity to join a de-risked company with extensive runway and existing partnerships.

As a Founding AI Engineer, you'll be employee number three and will play a mission-critical role in scaling the company from the ground up. You will own major technical domains and work directly with the founder to establish the core technical foundations. The ability to close the end-to-end process quickly is a key part of the company culture.

You will be responsible for:

• Building core platform components that unify fragmented wealth management tools.
• Designing and building end-to-end AI-powered workflows that automate financial advisor processes.
• Developing multi-agent AI workflows to deliver intelligent financial insights.
• Architecting scalable systems for real-time financial data orchestration.
• Making critical technical decisions with a high degree of autonomy.

Requirements

Tiger Analytics is looking for experienced Machine Learning Architect 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 a hands-on Engineering Lead with deep expertise in Generative AI (GenAI), Large Language Models (LLM) / Small Language Models (SLM) who can lead the design, development, and integration of AI-powered components into real-world, production-grade applications. This role demands strong engineering leadership and best practices, a practical approach to application development and system design with applied AI, fluency in modern AI tools, frameworks, cloud-native application stacks, and preferably knowledge of healthcare domain intricacies. You will lead the technical delivery of AI-powered features for a variety of horizonal and vertical healthcare use cases— all while ensuring compliance with enterprise integration standards.

Requirements

Responsibilities

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 Perception Software Engineer in United States.

This is a high-impact role focused on developing advanced machine learning and perception systems for real-world autonomous mobility. You will work within a multidisciplinary team to design and implement efficient, real-time, multimodal perception models that power a next-generation transit solution. From fusing camera, radar, and lidar data to optimizing model inference on embedded systems, your contributions will directly influence safety-critical systems and help transform how people move through urban environments.

Accountabilities: