Machine Learning Engineer

Machine Learning Engineer

Job Description:

Join a dynamic scale-up focused on building responsible generative AI models that compete with industry giants. As a Machine Learning Engineer, you will play a pivotal role in the deployment and management of machine learning models at scale. Your expertise will contribute to innovative solutions that enhance real-time data processing in multimodal environments. Work alongside a dedicated team of researchers and product developers to design and implement advanced ML algorithms, ensuring robust performance and scalability.

IT Languages:

• Python
• Scala
• Java
• R
• Haskell

As a Machine Learning Engineer, you will be tasked with the following responsibilities::

Design and implement machine learning algorithms tailored to specific projects;; Deploy and manage machine learning models in production environments;; Collaborate with researchers and product teams to integrate ML capabilities;; Work with diverse datasets in real-time and multimodal formats;; Monitor and optimize the performance of deployed models

Spoken Languages:

• English

Skillset:

• Machine Learning
• MLOps
• Kubernetes
• Docker
• Python programming

Soft Skills:

• Strong communication skills
• Team collaboration
• Problem-solving
• Adaptability
• Attention to detail

Qualifications:

• Graduate degree in a relevant STEM field, preferably Computer Science
• Proven experience in deploying machine learning models into production

Years of Experience:

2

Location:

United States

Job Benefits:

• Performance-based bonuses
• Restricted Stock Units (RSUs)
• 401k retirement plan
• Medical insurance
• Dental insurance
• Vision insurance
• Unlimited Paid Time Off (PTO)

Working Conditions:

Full Time

Employment Type:

Permanent Contract

Company Culture:

• The company fosters a culture of innovation and collaboration, where team members are encouraged to take ownership of their work. With a focus on responsible AI development, employees are empowered to contribute to meaningful projects that challenge the status quo.

Opportunities For Advancement:

• Leadership roles in AI/ML projects, Specialization in advanced ML techniques, Cross-functional collaboration opportunities

Visa Sponsorship:

Available