Software Engineer

Role Overview

The primary purpose of this role is to translate business requirements and functional specifications into logical program designs and to deliver code modules, stable application systems, and software solutions. This includes developing, configuring, or modifying integrated business and/or enterprise application solutions within various computing environments. This role will be working closely with stakeholders and cross-functional departments to communicate project statuses and proposals.

What You Will Do

• Develop and maintain backend services using Java, Spring Boot, and Python, and build responsive UIs using ReactJS.
• Translate business requirements into scalable technical solutions, with a focus on ML-driven features and systems.
• Collaborate with product and data teams to identify opportunities for ML-based solutions.
• Build and manage data pipelines, feature engineering workflows, and model evaluation processes.
• Deploy ML models using APIs and microservices architecture.
• Work with PostgreSQL and other data stores for structured and semi-structured data.
• Conduct root cause analysis and participate in code reviews for both ML and application code.
• Partner with product and business teams to identify opportunities for machine learning integration and data-driven decision-making.
• Develop and maintain full-stack applications using modern technologies (backend, frontend, and data layers).
• Test applications and ML components using TDD/BDD practices to ensure reliability and performance.
• Conduct root cause analysis for both application and model-related issues, including performance degradation.
• Participate in code reviews across both software and ML components to ensure quality and best practices.
• Implement and maintain CI/CD pipelines, including support for ML model deployment and monitoring (MLOps practices).
• Solve complex technical and ML-related challenges with a focus on scalability, maintainability, and efficiency.

Requirements

• Bachelor’s degree in Computer Science, Data Science, or a related field (or equivalent experience).
• 3+ years of software development experience, including strong exposure to ML implementation.
• Proven experience building and deploying machine learning models in production environments.
• Strong programming skills in Java/Spring Boot (for backend services), ReactJs.
• Working knowledge on Python with ML frameworks/libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Familiarity with Agile/Scrum and SDLC practices.
• Experience in some of: Backend/microservices/API development, Frontend (ReactJS or similar), Databases (PostgreSQL or similar), DevOps/CI-CD pipelines.
• Core Focus: Application Development, Machine Learning.
• Languages/Frameworks: Java, Spring Boot, ReactJs, Python.