ML Engineer

Job Description

As an ML Engineer at Innovative Solutions Ltd., you will be responsible for designing, building, and implementing ML models tailored to our clients’ needs. Your role will involve collaborating with data scientists and engineers to create solutions that can extract valuable insights from complex data. If you’re driven by the challenge of turning data into actionable insights and enjoy working with a talented team, we would love to hear from you.

Responsibilities

• Create robust ML models using diverse data sets.
• Work closely with Data Engineers to ensure seamless data pipelines.
• Analyze results and provide recommendations based on ML insights.
• Implement best practices for data management and governance.
• Participate in code reviews to maintain code quality standards.
• Research and implement the latest advancements in ML frameworks.
• Train team members on new tools and technologies.

Requirements

Education

• Bachelor's degree in Mathematics, Statistics, or related field
• Master's degree in AI or related field is preferred

Experience

• 3-5 years in machine learning or AI roles

Technical Skills

• R
• Keras

Soft Skills

• Creative problem-solving
• Adaptability

Certifications

• Certified Machine Learning Engineer
• Data Science Professional Certificate

Languages

• English: Fluent

Advantageous

• Experience with reinforcement learning: Knowledge in reinforcement learning techniques for complex decision-making.
• Strong statistics background: Advanced understanding of statistical methods relevant to ML.

Benefits

• Comprehensive health cover including dental and optical
• Performance bonuses
• Opportunities for professional development and training
• Company-sponsored events and activities

Company Culture

• Innovation: We thrive on innovative thinking and encourage creative problem-solving that leads to real-world applications.
• Collaboration: We believe in the power of teamwork and involve every member's input to improve our projects.
• Diversity and Inclusion: We foster a diverse environment where every employee feels welcome and valued.