Developer/Engineer

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 #J-18808-Ljbffr Sbhonline