AI/ML Engineer

AI/ML Engineer

Job Description:

Join our dynamic team as an AI/ML Engineer, where you will be at the forefront of developing and deploying innovative artificial intelligence and machine learning models. You will utilize AWS AI/ML services, such as SageMaker, Rekognition, and Comprehend, to create solutions that drive business value. Collaborate closely with data scientists and engineers to design and implement scalable machine learning solutions tailored to our clients' unique needs. Your role will also involve the installation, configuration, and maintenance of Linux servers, ensuring optimal system performance, security, and stability. You will be responsible for designing, implementing, and managing containerized applications using AWS Cloud Containerization services, including ECS and EKS, as well as Docker. Furthermore, you will develop continuous integration and continuous deployment (CI/CD) pipelines for automated deployment and scaling. This position offers the opportunity to leverage your expertise in AWS AI/ML solutions and containerization technologies while working with cutting-edge large language models.

IT Languages:

• Python
• Java
• R

As an AI/ML Engineer, you will undertake the following responsibilities::

Develop and deploy machine learning models using AWS services.;; Collaborate with cross-functional teams to implement AI solutions.;; Manage and maintain Linux servers to ensure optimal performance.;; Design and implement containerized applications.;; Create and manage CI/CD pipelines for automated deployment.

Spoken Languages:

• English;; French

Skillset:

• AWS AI/ML services
• Docker
• Linux
• Machine learning algorithms
• CI/CD pipelines

Soft Skills:

• Strong analytical skills
• Effective communication abilities
• Team collaboration
• Problem-solving mindset

Qualifications:

• Bachelor's degree in Computer Science or a related field
• Strong understanding of machine learning algorithms
• Experience with AWS AI services and model deployment
• Proficiency in Linux server management
• Familiarity with containerization technologies

Years of Experience:

5

Location:

United States

Job Benefits:

• Health insurance
• Retirement plan
• Flexible working hours
• Professional development opportunities
• Work-from-home options

Working Conditions:

Full Time

Employment Type:

Permanent Contract

Company Culture:

• We foster a collaborative and innovative work environment that values creativity and teamwork. Our culture prioritizes employee well-being and encourages continuous learning and development. We believe in empowering our employees to take ownership of their work and contribute to the success of our clients.

Opportunities For Advancement:

• Career growth within the company, Opportunities to lead projects, Access to training and certification programs

Visa Sponsorship:

Available