Machine Learning/AI Engineer

Machine Learning/AI Engineer

Job Description:

We are seeking a talented Machine Learning/AI Engineer to join our dynamic team. In this role, you will be responsible for developing cutting-edge machine learning algorithms and AI models that drive innovation and enhance our product offerings. You will work closely with cross-functional teams to analyze complex data sets, create predictive models, and implement advanced algorithms to solve real-world problems. The ideal candidate will have a strong background in machine learning, data science, and software development, with a passion for pushing the boundaries of technology and driving impactful solutions.

IT Languages:

• Python
• Java
• R
• SQL

As a Machine Learning/AI Engineer, your responsibilities will encompass a wide range of tasks focused on creating and optimizing AI solutions.:

Design and implement machine learning models and algorithms;; Collaborate with data engineers to collect and preprocess data;; Conduct experiments to validate model performance and accuracy;; Optimize existing models for performance and scalability;; Document processes and maintain clear communication with stakeholders

Spoken Languages:

• English;; German;; French

Skillset:

• Machine Learning
• Deep Learning
• Data Analysis
• Statistical Modeling
• Software Development

Soft Skills:

• Analytical thinking
• Problem-solving
• Effective communication
• Team collaboration
• Adaptability

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
• Proven experience with machine learning frameworks and libraries

Years of Experience:

5

Location:

Boxborough, MA, United States

Job Benefits:

• Health insurance
• Retirement plan
• Paid time off
• Professional development opportunities
• Flexible work hours

Working Conditions:

Full Time

Employment Type:

Permanent Contract

Company Culture:

• We foster a culture of innovation and collaboration, where creativity and teamwork are highly valued. We encourage our employees to take ownership of their work and strive for excellence. Our inclusive environment promotes diversity and welcomes ideas from all team members.

Opportunities For Advancement:

• Career growth programs, Mentorship opportunities, Leadership training

Visa Sponsorship:

Available