AI/Machine Learning Engineer

Job Description

Join our team as an AI/Machine Learning Engineer where you will be responsible for developing and optimizing machine learning models that transform business data into actionable insights. You will play a crucial role in enhancing our AI initiatives within a supportive and dynamic environment.

Responsibilities

• Design and execute experiments to test and validate machine learning models.
• Implement robust data preprocessing techniques for optimal model input.
• Collaborate with cross-functional teams on AI project initiatives.
• Provide technical guidance to junior team members.
• Monitor and maintain deployed machine learning models.
• Engage in continuous learning and contribute to team knowledge.
• Identify opportunities for process improvement through data analytics.
• Enhance data pipelines for efficient data flow.
• Conduct regular performance evaluations of machine learning solutions.
• Ensure compliance with data privacy and ethical standards.

Requirements

Education

• Bachelor's or Master's degree in Computer Science, Mathematics, or related field

Experience

• 3+ years of experience in machine learning and AI development

Technical Skills

• Python
• TensorFlow
• Scikit-learn
• Natural Language Processing

Soft Skills

• Analytical Skills
• Communication
• Collaboration

Certifications

• Certified Data Scientist
• Google Cloud Professional Data Engineer

Languages

• English: Fluent

Advantageous

• Experience with cloud platforms (AWS, GCP): Proficient in deploying ML models on cloud infrastructure.
• Experience with big data technologies (Hadoop, Spark): Familiarity with big data tools for processing large datasets.

Benefits

• Competitive salary package
• Medical aid and retirement benefits
• Work from home options
• Training and development opportunities

Company Culture

• Collaborative Environment: We nurture a collaborative environment that prioritizes innovation and teamwork.
• Tech-Centric Culture: Our culture is passionate about technology and innovation, placing emphasis on continuous learning.
• Focus on Diversity: We are committed to promoting diversity and creating an inclusive workplace for all.