Machine Learning Engineer
Role details
Job location
Tech stack
Job description
As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing machine learning algorithms and models to solve complex business problems. You will work closely with our team of data scientists, software engineers, and project managers to deliver innovative solutions to our clients., Design and develop machine learning algorithms and models to solve business problems
- Collaborate with data scientists to identify and gather relevant data for model development
- Develop data pipelines and data preprocessing techniques to ensure high-quality data for model training
- Implement and deploy machine learning models into production systems
- Continuously monitor and evaluate model performance and make necessary improvements
- Keep up-to-date with the latest advancements in machine learning and apply them to improve our solutions
- Communicate and present technical concepts and solutions to non-technical stakeholders
Requirements
Bachelor's or Master's degree in Computer Science, Data Science, or a related field
- Minimum of 3 years of experience in machine learning engineering or a similar role
- Strong understanding of machine learning algorithms and techniques, such as regression, classification, clustering, and deep learning
- Proficiency in programming languages such as Python, R, and Java
- Experience with machine learning libraries and frameworks, such as TensorFlow, Keras, and scikit-learn
- Familiarity with data engineering concepts and tools, such as SQL, Hadoop, and Spark
- Experience with cloud computing platforms, such as AWS, Azure, or Google Cloud
- Excellent problem-solving and analytical skills
- Strong communication and collaboration skills
- Ability to work independently and in a team environment
- Experience in the healthcare or financial industry is a plus
Benefits & conditions
At AMG & Associates, we value diversity and are committed to creating an inclusive and welcoming work environment for all employees. We offer competitive salary and benefits packages, as well as opportunities for professional growth and development.