Machine Learning Engineer

Salary: $5,000–$9,000 per month, depending on experience

We are looking for a Machine Learning Engineer for a global leader in unified marketing measurement and optimization, recognized by leading industry analysts. The role sits within a NextGen investment initiative focused on expanding AI/ML capabilities through predictive analytics, generative AI, and agentic systems.

Requirements

• Proficiency in Python and ML frameworks, including TensorFlow, PyTorch, Scikit-Learn, and XGBoost
• Experience with data pipelines and deploying ML systems in cloud environments, including AWS, SageMaker, Docker, and Kubernetes
• Hands-on production experience with LLMs and generative AI services, including AWS Bedrock, Anthropic Claude, OpenAI, or comparable tools
• Strong foundations in algorithms, data structures, and software engineering
• Attention to detail with a focus on quality control and versioning

Nice to Have

• Advanced degree (Master's or Ph.D.) in computer science, machine learning, applied mathematics, statistics, or a related field
• Experience designing automated evaluation, quality monitoring, or self-correction systems for AI/ML applications
• Familiarity with numerical programming and optimization methods
• Background in marketing analytics or communicating technical tradeoffs to non-technical stakeholders

Key Responsibilities

• Design, develop, and test end-to-end machine learning systems
• Implement machine learning and statistical algorithms
• Bridge the gap between data scientists and software engineers by translating analytical specifications into production-ready applications
• Build prototypes and MVPs from minimal proofs of concept
• Apply generative AI and agentic approaches to synthetic data generation, model hypothesis development, and automated quality review