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Machine Learning Engineer @ emagine

Home > Quality Assurance and Testing

 Machine Learning Engineer

Job Description

Experience : 5 10 years
Location Bangalore (Onsite )
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:
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, Key Requirements
Bachelor or Masters 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), Nice to Have
Basic experience with cloud platforms (e-g
, Azure), Docker, and Kubernetes, Fluency in English, Other Details
Location: Bengaluru, India
Team: Artificial Intelligence team, part of a global division,

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Quality Assurance and Testing
Role: Blockchain Quality Assurance Engineer
Employement Type: Full time

Contact Details:

Company: Emagine Infotech
Location(s): Bengaluru

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Keyskills:   kubernetes python git object oriented programming

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