Software Engineer

Innovate in Bengaluru This position is based at our on-site office in Bengaluru. Lowe's offers an ultramodern work environment, complete with cutting-edge technology, collaborative workspaces, an on-site gym and clinic, and other perks to enhance your work experience.

Your Impact 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.

Minimum Qualifications 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 Preferred Skills/Education Exposure to broader AI concepts such as NLP, computer vision, or generative AI.

Experience with MLOps practices (model versioning, monitoring, retraining pipelines). Familiarity with cloud platforms (AWS, Azure, or GCP) for ML deployment. Experience building end-to-end data-driven or intelligent systems in enterprise environments. 3+ years of experience in Machine Learning and Full Stack development in a production environment.

Experience implementing end-to-end ML pipelines (data ingestion → model training → deployment → monitoring). Familiarity with MLOps tools and practices (model versioning, monitoring, retraining). Exposure to broader AI domains such as NLP, computer vision, or generative AI (nice to have).

Experience developing and deploying enterprise-grade business systems. Familiarity with cloud platforms (AWS, Azure, or GCP) - ML Flow, Kube Flow for ML workloads. Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.