As companies look to leverage the power of machine learning (ML) to gain a competitive edge, the demand for skilled machine learning engineers is on the rise. But with so many options out there, how do you know you’re hiring the right person for the job? At Superior Data Science, we believe that our team of machine learning engineers are the best in the business, and here’s why.
Proven Track Record of Success: Our team of machine learning engineers have years of experience in the field and a proven track record of success. They have worked on a wide range of projects, from fraud detection, image recognition to natural language processing, and have a deep understanding of the latest ML techniques and technologies. Your implementation of machine learning at your workplace can be different, which is why we offer to everyone, an introductory consultation period at no cost, for a custom solution.
Technical Experience: Our Team Lead, and lead machine learning engineer has an MBA, MS Finance and a MS in bioengineering. Combined with several years of machine learning experience at reputable corporate firms such as Standard and Poors, Bell Flight, Citigroup, Propelled Brands, ETC – you are in good hands. The team’s unique combination of business acumen and technical expertise allows not only design and development of ML models but also effective communication with your business – the value and ROI of these models to non-technical stakeholders.
Strong Technical Skills: Our machine learning engineers are experts in the pythonic programming language and use well known and tested libraries. ML frameworks such as Pytorch, TensorFlow and Scikit-learn provide you quick installation of cost saving or revenue producing machine learning models. They are also familiar with cloud computing platforms like GCP, AWS and Azure, as well as big data tools like Hadoop and Spark. We know models are just half the story. We are also experts in placing the models in continuous integration and development pipelines so that they can be used with proper monitoring and timely execution.
Communication Skills: Our machine learning engineers have strong verbal and written communication skills, which is essential for effectively communicating their findings to non-technical stakeholders. They are also comfortable presenting their work to others and are able to explain complex ML concepts in simple terms. For every client, we provide a proposal presentation, a statement of work, project governance document and a final presentation.
Certifications: Our machine learning engineers typically hold multiple certifications to qualify their employment at Superior Data Science. These include AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer and Azure Machine Learning Certification, which demonstrate their connection to larger platforms and a level of knowledge and expertise in this field.
At Superior Data Science, we pride ourselves on our team of skilled and experienced machine learning engineers. If you’re looking to hire a machine learning engineer, we believe that our team is the best choice for your company. Contact us today to learn more about how we can help you leverage the power of ML.