Omni Inclusive
Machine Learning Engineer
Omni Inclusive, Bentonville, Arkansas, United States, 72712
Role
Machine learning engineer [4 to 6 years exp]
Description We are looking for Machine Learning Engineer with strong knowledge in designing and developing machine learning systems, implementing appropriate Client algorithms. You will have to work with data to create models, perform statistical analysis, and train and retrain systems to optimize performance. You will also be responsible to build efficient self-learning applications and contribute to advancements in artificial intelligence. You will also work closely with data team, application team closely to ensure efficient solutions
Responsibilities Design machine learning systems Research and implement appropriate Client algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing Client libraries and frameworks Keep abreast of developments in the field
Requirements Proven experience as a Machine Learning Engineer or similar role Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Experience in performing machine learning tasks in Azure or Google Excellent communication skills Ability to work in a team Outstanding analytical and problem-solving skills
Top 3 Skills: 1. Machine learning 2. Google cloud 3. Python, Client Libraries
Description We are looking for Machine Learning Engineer with strong knowledge in designing and developing machine learning systems, implementing appropriate Client algorithms. You will have to work with data to create models, perform statistical analysis, and train and retrain systems to optimize performance. You will also be responsible to build efficient self-learning applications and contribute to advancements in artificial intelligence. You will also work closely with data team, application team closely to ensure efficient solutions
Responsibilities Design machine learning systems Research and implement appropriate Client algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing Client libraries and frameworks Keep abreast of developments in the field
Requirements Proven experience as a Machine Learning Engineer or similar role Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Experience in performing machine learning tasks in Azure or Google Excellent communication skills Ability to work in a team Outstanding analytical and problem-solving skills
Top 3 Skills: 1. Machine learning 2. Google cloud 3. Python, Client Libraries