Software Engineer – Java, ReactJS, Data&ML

Overview

Software Engineer responsible for building and operating scalable software, data, and machine learning solutions for forecasting and AI products. The role covers the full SDLC and partners with Data Science, Data Engineering, Product, and Engineering teams.

What you'll do

• Design, develop, test, deploy, and support backend services, APIs, cloud applications, data integrations, and ML services.
• Build data ingestion, transformation, preprocessing, feature engineering, and post-processing pipelines.
• Support model experimentation, registration, versioning, testing, deployment, orchestration, inference, and lifecycle management.
• Develop CI/CD and automation pipelines for software, data pipelines, and ML models.
• Implement monitoring for applications, data pipelines, data quality, model performance, drift, and operational metrics.
• Optimize software, ML workloads, and data pipelines for performance, scalability, reliability, and cost efficiency.
• Resolve production incidents, perform root-cause analysis, and improve system reliability.

What you'll need

• 2–5 years of experience in software, data, and ML engineering.
• Bachelor’s or Master’s degree in Engineering, Computer Science, CIS, or a related field, or equivalent related work experience.
• At least 2 years of experience with AI/ML applications using large datasets and data engineering.
• Experience with Java, Spring Boot, microservices, and ReactJS.
• Experience building robust data and ML pipelines for analytics and AI/ML systems.
• Knowledge of MLOps tools such as MLflow, Kubeflow, or Vertex AI.
• Skills in cloud platforms, SQL, Python, PySpark, CI/CD, and Git.

Nice to have

• Experience with Apache Airflow, Cloud Composer, GCP, BigQuery, Trino/Presto, or Great Expectations.
• Experience with retail forecasting, business forecasting, or time-series forecasting.
• Experience with Druid, Superset, or Hadoop ecosystem technologies.

Details

• On-site role based in Bengaluru.