AI/ML Engineer

VIVA USA Inc; United States; Remote; USD 100,000 - 170,000; Full time

Benefits offered by this job

Remote work with travel opportunities

Equal opportunity employer

Job summary

VIVA USA Inc is seeking an experienced AI/ML engineer to design, develop, and deploy models and algorithms. You will collaborate with cross-functional teams to translate business needs into data-driven solutions.

The role requires strong Python/R/Java skills, NLP and computer vision experience, and cloud familiarity with Azure and Azure Synapse. Remote work with possible travel is available, and clear communication with stakeholders is essential.

Qualifications

• Bachelor’s or Master’s degree in computer science, engineering, mathematics, or related field.
• Proven experience in AI, machine learning, or data science.
• Experience with NLP and computer vision.
• Proficiency in Python, R, or Java.
• Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn.
• Familiarity with Azure and Azure Synapse data workflows.
• Strong problem-solving and ability to work independently and collaboratively.
• Excellent written and verbal communication skills.

Responsibilities

• Design, develop, and deploy AI models and algorithms.
• Collaborate with cross-functional teams to address AI challenges.
• Analyze and interpret complex data to extract insights.
• Manage, maintain, and troubleshoot AI applications for reliability.
• Iterate to improve models through experimentation.
• Stay up to date with AI/ML advancements.
• Document and present findings to stakeholders.

Skills

AI/ML

NLP

Computer Vision

Python

Azure

Education

Bachelor’s or Master’s degree in CS/Engineering/Math

Tools

TensorFlow

PyTorch

scikit-learn

Azure Synapse

Data Pipelines

Job description

Remote w/ possible occasional travel

Duties:

The candidate selected will perform the following duties:

• Design, develop, and deploy AI models and algorithms.
• Collaborate with cross-functional teams to identify and address AI-related challenges.
• Analyze and interpret complex data to extract actionable insights.
• Manage, maintain, and troubleshoot existing AI applications and models, including fixing bugs and resolving issues to ensure optimal performance and reliability.
• Continuously improve AI models through iteration and experimentation.
• Stay up to date with the latest advancements in AI and machine learning.
• Document and present findings and results to stakeholders.

Desired Skillset/Minimum Experience:

The candidate selected for this position must have the following skills and qualifications:

• Bachelor’s or Master’s degree in computer science, Engineering, Mathematics, or a related field.
• Proven experience in AI, machine learning, or data science.
• Experience with natural language processing (NLP) and computer vision.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Familiarity with cloud platforms (Azure) and Azure Synapse and data workflows (pipelines).
• Strong problem-solving skills and the ability to work independently and collaboratively.
• Excellent communication skills, both written and verbal.

Skill - Required / Desired

• Proven experience in AI, machine learning, or data science. - Required
• Experience with natural language processing (NLP) and computer vision. - Required
• Proficiency in programming languages such as Python, R, or Java. - Required
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Required
• Familiarity with cloud platforms (Azure) and Azure Synapse and data workflows (pipelines). - Required
• Bachelor’s or Master’s degree in computer science, Engineering, Mathematics, or a related field. - Required

Notes:

Remote w/ possible occasional travel

VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status