Machine Learning Engineer vacancy in Akron USA

Machine Learning Engineer

We are hiring a skilled Machine Learning Engineer to join our team in Akron. As part of our company's commitment to diversity and inclusion, we welcome applications from Indian nationals and women. In this role, you will be responsible for developing and implementing machine learning algorithms and models to improve our products and services. You will work closely with cross-functional teams to identify business problems that can be solved using machine learning techniques. The ideal candidate should have a strong background in mathematics, statistics, and programming as well as experience with machine learning frameworks and tools.

Salary: $1100 per month (negotiable based on experience)

Location: Akron, OH

Responsibilities:
- Develop, test, and deploy machine learning models and algorithms
- Collaborate with product managers, data scientists, and software engineers to identify business problems that can be solved using machine learning
- Collect, clean, and preprocess data for training machine learning models
- Implement feature engineering techniques to improve model performance
- Evaluate the accuracy of machine learning models using appropriate metrics
- Optimize existing machine learning pipelines for efficiency
- Stay current with advancements in the field of machine learning and implement new techniques as needed

Requirements:
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics or related field
- Minimum of 2 years of experience working as a Machine Learning Engineer or Data Scientist
- Strong understanding of statistics and probability theory
- Proficiency in programming languages such as Python or R
- Experience with popular machine learning libraries such as TensorFlow, PyTorch or scikit-learn
- Knowledge of data visualization tools like Tableau or Power BI
- Excellent problem-solving skills and ability to think critically
- Strong communication skills to effectively collaborate with cross-functional teams