Developer/Engineer

Sbhonline; New York (NY); On-site; USD 100,000 - 130,000; Full time

Job summary

Sbhonline is looking for a Developer/Engineer in Brooklyn, NY, to design and maintain machine learning infrastructure. This full-time role offers the chance to establish the foundation of a growing startup.

The ideal candidate will have extensive experience in software engineering with strong skills in Python, machine learning frameworks, and cloud platforms. The position offers a dynamic work environment focused on scalable systems.

Qualifications

• Strong software engineering experience with advanced proficiency in Python, Go, or Java.
• Deep experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.

Responsibilities

• Design and build scalable machine learning infrastructure and prediction platforms.
• Develop systems for deploying, monitoring, and managing machine learning models in production.
• Collaborate with engineering and data teams to optimize platform performance.

Skills

Software engineering

Machine learning (ML)

Python

Cloud platforms (AWS, GCP, Azure)

Docker

Kubernetes

Tools

TensorFlow

PyTorch

Scikit-Learn

Spark

Kafka

SQL/NoSQL databases

Job description

Developer/Engineer

Location: Brooklyn, NY

Employment Type: Full-Time

Schedule: Monday through Friday – Standard Business Hours

Salary: Based on Experience

Description

An early‑stage startup is seeking a highly skilled Machine Learning Platform Engineer to design, build, and maintain the core infrastructure powering predictive models and machine learning systems. This is a high‑impact opportunity to help establish the technical foundation of a growing company while working on scalable machine learning and data platforms.

The ideal candidate is a strong engineer with experience building production‑grade ML infrastructure, deploying models at scale, and creating reliable systems that support the full machine learning lifecycle.

What You’ll Do

• Design and build scalable machine learning infrastructure and prediction platforms
• Develop systems for training, deploying, monitoring, and managing machine learning models in production
• Create tools and workflows that support data scientists and machine learning engineers
• Build and maintain MLOps pipelines to streamline model development and deployment
• Develop infrastructure for model monitoring, performance tracking, and continuous improvement
• Collaborate with engineering and data teams to optimize platform performance and reliability
• Design scalable data processing systems capable of handling large datasets and real‑time workflows
• Implement best practices for cloud architecture, automation, security, and system reliability
• Evaluate and integrate emerging technologies and tools that improve machine learning operations

Requirements

• Strong software engineering experience with advanced proficiency in Python, Go, or Java
• Deep experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit‑Learn
• Strong hands‑on experience with cloud platforms including AWS, Google Cloud Platform (GCP), or Microsoft Azure
• Experience with containerization and orchestration technologies such as Docker and Kubernetes
• Familiarity with large‑scale data processing tools including Spark, Kafka, and SQL/NoSQL databases
• Experience building and maintaining production machine learning infrastructure
• Strong understanding of software architecture, scalability, reliability, and performance optimization
• Ability to work independently in a fast‑paced startup environment