AI/ML Engineer

Job Description

As an AI/ML Engineer, you will be pivotal in creating innovative machine learning applications. Your role will involve collaborating with data scientists and engineers to build and deploy models that elevate our products and services. Ideal candidates will have a comprehensive understanding of AI principles and strong coding abilities.

Responsibilities

• Architect and implement scalable machine learning systems.
• Collaborate with business stakeholders to translate requirements into actionable ML strategies.
• Regularly evaluate models to ensure performance standards are met.
• Create and deploy data-driven solutions for complex challenges.
• Engage with client teams to understand needs and present solutions.
• Oversee end-to-end model lifecycle management, including training and retraining.
• Promote machine learning capabilities within the organization through workshops.
• Integrate ML solutions with existing software infrastructure.
• Keep abreast of the latest trends and advancements in AI and ML.

Requirements

Education

• Bachelor's degree in Artificial Intelligence or related field
• Master's degree in Data Science is preferred

Experience

• 5+ years of proven experience in AI/ML frameworks

Technical Skills

• Deep Learning
• Big Data Technologies

Soft Skills

• Project Management
• Team Leadership

Certifications

• Google AI Certification
• IBM AI Engineering Professional Certificate

Languages

• English: Fluent

Advantageous

• Knowledge of NLP techniques: Experience with Natural Language Processing techniques and tools.
• Familiarity with Automated Machine Learning: Experience with tools for automating machine learning workflows.

Benefits

• Health, dental, and vision coverage
• Generous leave policies for work-life balance
• Professional development support and certifications
• Wellness and fitness initiatives for employees

Company Culture

• Continuous Learning: We provide numerous opportunities for employees to learn and grow within their roles.
• Flexibility: Emphasizing a work-life balance, we allow flexible working arrangements.
• Community Engagement: We support initiatives that engage with and give back to our local community.