Machine Learning Engineer

Gaumard Scientific; Miami (FL); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive Pay

Generous PTO

11 Paid Holidays

401k with employer match

Job summary

Gaumard Scientific is seeking a Machine Learning Engineer to join the software team in Miami, FL. You will help develop AI features for medical simulators, focusing on auto-learning through model training, speech, and image recognition, and work with UI and simulator behavior to create human-like experiences.

Responsibilities include designing, training, testing, deploying ML models, and collaborating with engineers and product teams to deliver continuous value to customers.

Qualifications

• Bachelor's degree in Computer Science, Engineering or Mathematics; Master’s degree or Ph.D. a plus.
• Experience with machine learning, AI, image analysis and data analytics.
• Experience with Python and Java.
• Excellent written and verbal communication skills.

Responsibilities

• Develop proprietary software for medical simulation.
• Design, train, test, productize and deploy machine learning models.
• Collaborate with engineers, management and product teams to deliver value to customers.
• Define platform requirements with engineering and other departments and continuously improve products.
• Work with other departments to integrate work across the company.

Skills

Python

Java

Machine Learning

Image Analysis

Data Analytics

Communication Skills

Education

Bachelor's degree in CS/Engineering/Math

Master's or PhD preferred

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Machine Learning Engineer

Full Time Miami, FL, US

The Machine Learning Engineer will be part of the software team developing new Artificial Intelligence (AI) features for our medical simulators in order to make the simulation experience more “human like”. User Interface as well as simulator behavior are part of our program that requires auto-learning thru model training, speech, and image recognition, among others. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

DUTIES AND RESPONSIBILITIES:

• Developing proprietary software for medical simulation
• Design, train, test, productize and deploy machine learning models.
• Work closely with fellow engineers and management, and product management team to ensure our solutions deliver continuous values to end customers.
• Collaborate with engineering team to define new platform requirements and continuously improve our products.
• Integrate work with other engineering departments.
• Ability to work with different teams within Engineering and other departments of company.
• Other duties as assigned.

QUALIFICATIONS/REQUIREMENTS:

• Must have a Bachelor’s degree in Computer Science, Engineering or Mathematics; Master’s degree or Ph.D. a plus
• Experience with machine learning, AI, image analysis and data analytics
• Must have experience with Python and Java
• Excellent written and verbal communication skills

PHYSICAL/MENTAL REQUIREMENTS:

• High energy level, comfortable performing multifaceted projects in conjunction with normal activities.
• While performing the duties of this job, the employee is regularly required to sit and use his/her fingers.
• The employee frequently is required to talk and/or hear.
• The employee is interchangeably required to sit, stand and walk.
• The employee must occasionally lift and/or move up to 10 pounds.
• Ability to communicate (read and write) effectively in a business environment.
• Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
• Ability to exercise independent judgment in determining potential strong candidates.

CONDITIONS:

• Indoors office, controlled temperature environment.
• The noise level in the work environment is usually moderate due to telephones and employees that approach the department.

BENEFITS:

• Competitive Pay / Salary commensurate with experience.
• Generous Paid Time Off (PTO).
• 11 Paid Holidays.
• 401k Retirement plan with 100% employer match up to 5% of employee's contribution.

The above job description supersedes all previous descriptions. This job description is intended to be a tool to describe the primary purpose of the job and the KEY duties and responsibilities. This description does not state or imply that the functions listed above are the only tasks to be performed by the employee occupying this position. Management has the right to add to or change the job responsibilities at any time.

Equal Employment Opportunity Statement: Gaumard Scientific is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: Gaumard Scientific is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Gaumard Scientific are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Gaumard Scientific will not tolerate discrimination or harassment based on any of these characteristics. Gaumard Scientific encourages applicants of all ages. Gaumard Scientific will provide reasonable accommodation to employees who have protected disabilities consistent with local law.