Bangalore, Karnataka, India
Information Technology
Full-Time
Tiger Analytics
Overview
Role: Senior Machine Learning Engineer-(MLE + ReactJS/AngularJS)
Location: Hyderabad (Hybrid Mode)
Availability: Immediate joiners or 0–30 days notice preferred
Domain: Banking / Financial Services preferred
Role Overview
We are looking for a dynamic professional to join our team as a Senior Machine Learning Engineer with Machine Learning and ReactJS/AngularJS expertise. This is a hybrid role that involves 30% front-end development and 70% machine learning/data science responsibilities. The ideal candidate will bridge the gap between intuitive UI design and intelligent ML-powered backend systems, primarily in a banking domain environment.
Key Responsibilities
Location: Hyderabad (Hybrid Mode)
Availability: Immediate joiners or 0–30 days notice preferred
Domain: Banking / Financial Services preferred
Role Overview
We are looking for a dynamic professional to join our team as a Senior Machine Learning Engineer with Machine Learning and ReactJS/AngularJS expertise. This is a hybrid role that involves 30% front-end development and 70% machine learning/data science responsibilities. The ideal candidate will bridge the gap between intuitive UI design and intelligent ML-powered backend systems, primarily in a banking domain environment.
Key Responsibilities
- Design and develop responsive, user-friendly web interfaces .
- Collaborate with data scientists to build, integrate, and deploy ML models into production environments.
- Own the complete development and deployment lifecycle for ML-powered features, including UI integration.
- Build and maintain scalable, cloud-based solutions using AWS services.
- Work within an agile setup and coordinate closely with both engineering and data science teams.
- Proven expertise in:
- Front-end development using JavaScript/React (or similar frameworks)
- Machine Learning using Python, Scikit-learn, TensorFlow, or PyTorch
- Deployment pipelines, Docker, and CI/CD practices
- Cloud services, especially AWS (Lambda, S3, SageMaker preferred)
- Proven expertise in:
- Front-end development using JavaScript/React (or similar frameworks)
- Machine Learning using Python, Scikit-learn, TensorFlow, or PyTorch
- Deployment pipelines, Docker, and CI/CD practices
- Cloud services, especially AWS (Lambda, S3, SageMaker preferred)
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