Machine Learning Engineer

Join our AI-focused team as a Machine Learning Engineer and build systems that learn and improve over time. You'll develop end-to-end machine learning solutions, from data preprocessing to model deployment and monitoring. This role requires strong programming skills and expertise in ML frameworks like TensorFlow or PyTorch. You should have a solid foundation in statistics and linear algebra. We seek engineers who are passionate about AI, stay updated with latest research, and can translate complex ML concepts into production systems. About the Role: You'll be joining our Product team at Code Bridge Labs. This is an excellent opportunity to work on challenging projects, learn from experienced professionals, and grow your skills in a supportive environment. You'll have the chance to work with modern technologies and contribute to products that impact millions of users. What You'll Do: - Develop and maintain high-quality code that meets our standards for reliability and performance - Collaborate with cross-functional teams including product, design, and operations - Participate in code reviews and contribute to knowledge sharing within the team - Identify and implement improvements to existing systems and processes - Stay updated with industry trends and emerging technologies - Mentor junior team members and help build a strong engineering culture Why Join Us: - Competitive salary and comprehensive benefits package - Flexible work arrangements including remote options - Professional development opportunities and training budget - Career growth and clear advancement paths - Collaborative and inclusive work environment - Cutting-edge technology stack and tools - Opportunity to work on impactful projects

Required Qualifications: - You should have 5-8 years of professional experience with proven track record of success. We value your expertise and leadership potential. - Strong proficiency in Machine Learning, Docker, Scikit-learn - Excellent problem-solving and analytical skills - Strong communication and teamwork abilities - Self-motivated and ability to work independently - Passion for learning new technologies - Experience with version control systems (Git) Preferred Qualifications: - 5-8 years of professional experience in a similar role - Experience with Deep Learning - Knowledge of software design patterns and best practices - Understanding of microservices - Contribution to open-source projects - Experience with automated testing

Key Responsibilities: - Design, develop, and deploy high-quality machine learning engineer solutions - Write clean, maintainable, and well-documented code - Participate in design and architecture discussions - Conduct and participate in code reviews - Troubleshoot and debug issues in production and development environments - Optimize application performance and identify bottlenecks - Collaborate with product managers to understand requirements - Stay updated with industry best practices and emerging technologies - Contribute to team documentation and knowledge base - Mentor and support junior team members - Participate in agile ceremonies (standups, planning, retrospectives) - Implement security best practices in code and architecture