
Machine Learning Engineer
6 hours ago
Our team is building intelligent, scalable applications powered by cutting-edge machine learning models, and we're looking for someone who can bridge ML with production-ready web applications.
Key Responsibilities:
- Design, train, and optimize machine learning models for real-world use cases.
- Deploy ML models into production using Flask (building REST APIs and microservices).
- Collaborate with backend/frontend teams to integrate ML services into applications.
- Ensure scalability, performance, and reliability of deployed models.
- Write clean, efficient, and well-documented code.
Required Skills & Qualifications:
- Strong foundation in Python and ML libraries (TensorFlow, PyTorch, scikit-learn, etc.).
- Experience building and deploying Flask applications.
- Knowledge of REST APIs, microservices, and web integration.
- Solid understanding of data preprocessing, feature engineering, and model evaluation.
- Familiarity with version control (Git) and cloud platforms (AWS, GCP, or Azure).
Experience:
- 1 to 3 years
Job Type: Full-time
Benefits:
- Provident Fund
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