Software Engineer_Java_ReactJS_Data&ML
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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, deploy, and support scalable software and ML solutions including backend services, APIs, data pipelines, and ML-enabled services for Forecasting and AI products.
Develop and optimize data ingestion, transformation, feature engineering pipelines, productionize ML models with monitoring and lifecycle management on cloud platforms.
Collaborate cross-functionally with Data Science, Data Engineering, Product, and Engineering teams to deliver reliable AI/ML-driven business solutions across the full SDLC.
Minimum Requirements
2-5 years of experience in Software, Data & ML engineering including at least 2 years with AI/ML applications on large datasets and Data Engineering.
Bachelor's or Master's degree in Engineering, Computer Science, CIS, or related field, or equivalent experience.
Proficiency in Java, Springboot, Microservices, ReactJS, Python, SQL, and frameworks/tools including MLflow, Kubeflow, Vertex AI, and cloud platforms like GCP, AWS or Azure.
Experience with building and managing data/ML pipelines, CI/CD processes, and model serving frameworks; hands-on with Hadoop Ecosystem (HDFS, Hive), PySpark, Big Data systems.
Ideal Candidate Profile
Experienced in developing cloud-native, scalable AI/ML systems with strong software engineering discipline and end-to-end ownership across SDLC.
Skilled at integrating and optimizing production ML models, pipelines and monitoring in collaboration with Data Science and Data Engineering teams.
Familiar with retail forecasting or time series/business forecast predictions domain is a plus but not mandatory.