Senior AI and Machine Learning Engineer

• Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms
• Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions
• Develops, implements, and optimizes machine learning models and algorithms
• Deploys machine learning models into production environments
• Monitors the performance of deployed models
• Organizes and leads comprehensive design review sessions
• Works collaboratively with the engineering manager and team lead to set design and implementation standards
• Regularly leads meetings
• Has experience in providing technical leadership, mentorship, and guidance to junior team members
• Develops and delivers strategic presentations and reports to senior stakeholders
• Applies and leverages data mining, data modeling, natural language processing, and machine learning to extract and analyze information from datasets

• Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
• Typically, 7-10 years’ experience
• Deep understanding of machine learning algorithms, such as linear regression, decision trees, support vector machines, random forests, deep learning models (e.g., neural networks), and reinforcement learning
• A strong foundation in mathematics and statistics
• Proficiency in programming languages such as Python, R, or Java
• Strong understanding of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies
• Experience in Cloud Infrastructure (AWS, Azure, etc)
• Knowledge of Open Source, Linux, etc
• Understanding of Devops, SRE
• Advanced knowledge and experience in deep learning
• Must have excellent communication skills
• Strong programming skills, with expertise in Python, R, or Java
• A deep understanding of statistical modeling, data mining, and data visualization is highly preferred

Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset

• Health & Wellbeing
• Personal & Professional Development
• Unconditional Inclusion