Gurugram, Haryana, India
Information Technology
Full-Time
emagine
Overview
Summary
The Machine Learning Engineer position focuses on developing machine learning models to solve real-world business challenges in a global industrial context. The primary goal is to support the AI team's efforts in creating innovative solutions for various applications across multiple industries.
Main Responsibilities
As a Machine Learning Engineer, your core duties will include:
Location: Bengaluru, India. Team: Artificial Intelligence team, part of a global division.
The Machine Learning Engineer position focuses on developing machine learning models to solve real-world business challenges in a global industrial context. The primary goal is to support the AI team's efforts in creating innovative solutions for various applications across multiple industries.
Main Responsibilities
As a Machine Learning Engineer, your core duties will include:
- Develop, train, test, and deploy machine learning models in areas such as computer vision, LLMs, and time series data.
- Experiment with deep learning technologies, including self-supervised learning and generative AI.
- Set up MLOps infrastructure for AI products.
- Work with customer data to establish data pipelines for collection and transformation.
- Collaborate with cross-functional teams to extend and build new AI products.
- Analyze and interpret large datasets using advanced AI techniques.
- Bachelor or Master’s Degree in Data Science, Computational Statistics/Mathematics, Computer Science, or related field.
- Basic understanding of neural networks and practical experience with deep learning frameworks like PyTorch and TensorFlow.
- Experience in backend and API development using Python (e.g., FastAPI, Flask).
- Knowledge of Object Oriented Programming, design patterns, algorithms, and version control systems (e.g., Git).
- Basic experience with cloud platforms (e.g., Azure), Docker, and Kubernetes.
- Fluency in English.
Location: Bengaluru, India. Team: Artificial Intelligence team, part of a global division.
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