Software Engineer II- Java & AI

Job Summary

Job: Software Engineer II Location: Bangalore Experience: 3 - 5 Years Senior AI Backend Engineer (ML & Distributed Systems) who can builds and deploys ML-driven solutions through scalable Java Spring Boot microservices and real-time data pipelines.

Responsibilities

• Design, develop, and maintain Java Spring Boot applications.
• Build end-to-end ML pipelines (data ingestion feature engineering model training evaluation deployment).
• Design and implement real-time data pipelines by consuming streams from Kafka/Kinesis, transforming data, and feeding it into ML models and downstream microservices.
• Translate business problems into measurable ML solutions and actionable insights.
• Collaborate with product, data, and engineering teams to ship production-ready AI features.
• Implement model monitoring, performance tracking, and drift detection in production.
• Optimize model performance for accuracy, latency, and cost.
• Maintain CI/CD pipelines and ensure high-quality, testable, and maintainable code.

Skills

Key Skills Required

• Strong proficiency in Java, Spring Boot, and microservices.
• REST API development and integration
• Messaging systems (Kafka/RabbitMQ preferred)
• CI/CD (Jenkins/GitHub Actions)
• Docker and basic containerization
• Proficiency in Python (Pandas, NumPy, scikit-learn)
• Experience building supervised & unsupervised ML models
• Feature engineering and model evaluation techniques
• Experience deploying models in production environments
• Familiarity with experiment tracking (MLflow or similar)
• Understanding of model monitoring and drift detection
• Working knowledge of AWS (S3, SageMaker, Lambda preferred)
• Solid knowledge of SQL and NoSQL databases.

Soft Skills

• Strong analytical and problem-solving skills
• Excellent verbal and written communication skills
• Ability to work collaboratively across cross-functional teams
• Attention to detail and a proactive approach to identifying issues
• Ability to manage multiple tasks and priorities effectively

Education & Experience

• Bachelor’s degree in Computer Science, Information Technology, or a related field
• Experience working in Agile environments is highly preferred

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