Senior Machine Learning Engineer

Description

Job Summary: We are seeking a Senior Machine Learning Engineer to work at the intersection of machine learning/deep learning, cloud technologies, and system architecture, developing scalable AI solutions with a focus on MLOps. Key Highlights: 1. Work as a Senior Machine Learning Engineer and Generative AI practitioner 2. Develop scalable and secure AI solutions 3. Collaborate with cross-functional teams and implement MLOps practices Description: * Bachelor's degree in Computer Science, Statistics, Engineering, Mathematics, Physics, or related fields; * Proficiency in Python and SQL; * Experience with 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, emphasizing scalability and security; * Experience with Large Language Model (LLM) APIs; * Strong communication skills and ability to collaborate effectively with 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; * Familiarity with 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 artificial intelligence solutions. The role emphasizes best practices in MLOps—including code and data versioning—as well as model deployment and monitoring in production, playing a strategic role in developing our AI-powered products. Your Responsibilities: * Apply MLOps best practices, including data and code versioning, and model serving; * Develop end-to-end new product features; * Build robust and scalable code for production deployment; * Create pipelines for model deployment and monitoring in production; * Work on Generative Artificial Intelligence solutions; * Collaborate with cross-functional teams, demonstrating strong communication and teamwork. 2512100202181673857