Machine Learning Engineer vacancy in Akron USA

Machine Learning Engineer



As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing machine learning algorithms and models. You will work closely with data scientists and software engineers to create innovative solutions that drive business value. Your role will be critical in the development of cutting-edge technology in the field of biometric passports.

Key Responsibilities:
- Design and develop machine learning algorithms and models for biometric passport verification systems
- Collaborate with data scientists to build predictive models and identify patterns in large datasets
- Work with software engineers to implement machine learning solutions into production systems
- Develop tools and processes for data pre-processing, feature engineering, model training, and evaluation
- Conduct experiments to evaluate the performance of different algorithms and models
- Keep up-to-date with latest advancements in machine learning techniques and technologies
- Communicate findings and results to technical and non-technical stakeholders

Requirements:
- Bachelor's degree in Computer Science, Data Science, or related field; Master's degree preferred
- Strong understanding of machine learning algorithms such as deep learning, neural networks, decision trees, etc.
- Proficient in programming languages such as Python or Java
- Experience with data analysis tools such as Pandas or R
- Knowledge of cloud computing platforms (e.g. AWS) is a plus
- Excellent problem-solving skills and attention to detail
- Ability to work independently as well as part of a team
- Good communication skills

Salary:
This position offers a competitive salary of $1400 per month.

Location:
This position is located in Akron, a bustling city known for its innovation and technological advancements. With its affordable cost of living and diverse cultural scene, Akron is an ideal place to live for professionals from all backgrounds.

We value diversity at our company and encourage all qualified individuals to apply. We are an equal opportunity employer committed to providing equal employment opportunities without discrimination of any kind.