Senior Machine Learning Engineer

Description

Job Summary: We are seeking a Senior Machine Learning Engineer to work with machine learning, cloud technologies, and system architecture, developing and implementing advanced AI and generative AI solutions. Key Highlights: 1. Strategic involvement in AI product development 2. Focus on scalability and security of AI solutions 3. End-to-end development of product features Description: * Bachelor's degree in Computer Science, Statistics, Engineering, Mathematics, Physics, or related fields; * Proficiency in Python and SQL; * Knowledge of cloud computing platforms (AWS, Azure, or GCP); * Familiarity with RESTful APIs, containerization (Docker), and orchestration (Kubernetes); * Strong experience with code versioning (e.g., Git); * Knowledge of model monitoring tools for production environments; * Practical experience with MLOps and tools such as MLflow, Airflow, or similar; * Ability to implement AI solutions in production environments, with emphasis on scalability and security; * Experience with LLM (Large Language Model) APIs; * Strong communication skills and ability to collaborate effectively within cross-functional teams. Bonus qualifications include: * Knowledge of governance and security practices applied to generative AI; * Experience with RAG (Retrieval-Augmented Generation) and other advanced generative AI techniques; * Knowledge of C# for integration with existing systems; * Experience in agile environments and methodologies such as Scrum or Kanban. We are looking for a Senior Machine Learning Engineer to work at the intersection of machine learning/deep learning, cloud technologies, and system architecture. The candidate will be responsible for designing and implementing advanced statistical models, machine learning algorithms, and generative AI solutions. The role emphasizes best practices in MLOps—including data and code versioning—as well as model deployment and monitoring in production, playing a strategic role in the development of our AI products. What You Will Do: * Apply MLOps best practices, including data and code versioning, and model serving; * Develop new product features end-to-end; * Build robust and scalable code for production deployment; * Create pipelines for model deployment and monitoring in production; * Work with Generative Artificial Intelligence solutions; * Collaborate with cross-functional teams, demonstrating strong communication and teamwork. 2512100202181673857