XpertDirect

About the Company

We built Xpert Direct to empower companies to hire the best tech talent quickly and easily, at a fraction of the cost of using traditional recruitment agencies.

The Recruitment Industry is broken! Companies are having to wait up to six months to hire the right people. The industry is dominated by a handful of traditional recruitment giants, dependent on preserving the status quo. Recruitment processes are outdated, and companies are paying a heavy price for the lack of innovation and investment in new technology.

With the advent of LinkedIn and other professional networks, companies now have a chance to break free from the big recruitment giants by bringing recruitment inhouse. However, although they have access to major global talent sources, much of it is passive, so recruiting remains a lengthy and expensive process. Over the past few years, we have seen a surge in new hiring platforms on the market, however most of them still depend heavily on manual backend hiring processes, doing little to speed up hiring or reduce costs.

We reimagined the entire recruitment process based on a number of core principles that we consider essential to satisfying the requirements and trust of users in an online recruitment environment. These include direct communication, public confidentiality, maximum automation, SaaS based pricing for clients and a commitment to never charging candidates. By focusing on these core principles, we were able to build a platform dedicated to finding and hiring the best tech talent quickly and easily, at a fraction of the current cost.

We would like to thank all our early users for your trust and support in helping us shape the future of hiring. We appreciate all your valuable feedback, enabling us to continuously improve Xpert Direct and take the pain out of the recruitment process.

Listed Jobs

Company Name

XpertDirect

Job Title

Senior Software Engineer

Job Description

**Job Title:** Senior Software Engineer **Role Summary:** Senior Software Engineer responsible for designing and developing scalable backend services and seamless user experiences for digital banking platforms. Specializes in large-scale payment systems with a focus on security, performance, and reliability. **Expectations:** 5+ years of professional experience in software development. Proficiency in financial technology domains and full-stack development processes. **Key Responsibilities:** - Design, develop, and deploy payment and transaction systems for digital banking platforms. - Collaborate with senior engineering teams across the full software development lifecycle. - Ensure system performance, reliability, and security through architecture, testing, and implementation. **Required Skills:** - Expertise in Node.js, TypeScript, React, AWS, and PostgreSQL. - Proven experience building large-scale APIs and financial applications. - Strong knowledge of secure coding practices, data integrity, and compliance standards. **Required Education & Certifications:** Not specified.

New york, United states

Remote

Senior

08-10-2025

Company Name

XpertDirect

Job Title

Senior Machine Learning Engineer

Job Description

**Job Title** Senior Machine Learning Engineer **Role Summary** Design, develop, and deploy machine‑learning models on embedded hardware (MCUs, DSPs, FPGAs) to provide real‑time intelligence at the edge. Work closely with firmware and hardware teams to integrate models into devices and optimize for performance, size, and power constraints. **Expectations** - Minimum 5 years of professional experience in machine‑learning engineering. - Proven track record of building and deploying models on resource‑constrained devices. - Ability to collaborate cross‑functionally with firmware, hardware, and product teams. - Strong analytical skills for evaluating accuracy, latency, and resource utilization. **Key Responsibilities** 1. Build, train, and optimize ML models for edge deployment on MCUs, DSPs, and FPGAs. 2. Quantize, compress, and perform performance tuning to meet bandwidth, memory, and inference‑latency targets. 3. Integrate models into device firmware, working with embedded software teams. 4. Validate models on actual hardware, measuring accuracy, latency, power, and memory usage. 5. Maintain and improve ML pipelines using MLflow and related tooling. 6. Continuously profile and benchmark models using profiling tools to identify bottlenecks. **Required Skills** - Programming: Python, C/C++ - ML frameworks: TensorFlow Lite, ONNX Runtime, Edge Impulse - Embedded development: MCU and FPGA programming, real‑time operating systems - Model optimization: quantization, compression, pruning techniques - Tooling: MLflow, hardware‑profiling tools (e.g., ARM DS-5, fpga‑profilers) - Debugging & performance tuning across software and hardware layers **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field. - 5+ years of experience in machine‑learning engineering on embedded platforms. - Additional certifications (e.g., TensorFlow Certified Developer, Certified Embedded Systems Engineer) preferred but not mandatory.

Boston, United states

Hybrid

Senior

24-11-2025