AI/Machine Learning Engineer

Job Description

As an AI/Machine Learning Engineer, you will be at the forefront of our AI initiatives. Your main responsibility will be to construct machine learning models and support data-driven decision-making. If you are passionate about AI and its capabilities in transforming business processes, we'd love to hear from you.

Responsibilities

• Develop innovative methods for machine learning model training and deployment.
• Participate in the end-to-end machine learning lifecycle from data acquisition to model deployment.
• Collaborate with product teams to integrate AI into products.
• Analyze user feedback and iterate on the models for better performance.
• Develop comprehensive documentation for algorithms and workflows.
• Train & mentor junior engineers and interns in AI methodologies.
• Contribute ideas to improve existing products and processes.
• Engage with industry groups and events to stay abreast of technological advancements.

Requirements

Education

• Bachelor's degree in Data Science, Computer Science, or related discipline

Experience

• 4+ years of relevant experience in AI/ML projects

Technical Skills

• Machine Learning Algorithms
• Deep Learning
• Big Data Technologies

Soft Skills

• Creative Problem Solving
• Adaptability

Certifications

• Google Cloud Professional Data Engineer
• Machine Learning Stanford Online Certificate

Languages

• English: Fluent

Advantageous

• Experience with Reinforcement Learning: Hands-on experience developing reinforcement learning models.
• Participation in Hackathons: Active contributor to AI-focused hackathons and tech meetups.

Benefits

• Competitive salary package with performance bonuses
• Healthy work-life balance with remote work options
• Ongoing training and career growth opportunities
• Collaborative team environment with company events

Company Culture

• Integrity and Transparency: We believe in honesty and transparency in our dealings and communications.
• Passion for Technology: Our team is driven by a passion for technology and its potential.
• Inclusivity and Diversity: We aim to create a workplace where everyone feels welcome and valued.