Senior Machine Learning Engineer developing AI solutions for various market segments at Benner. Collaborating in a multidisciplinary team to innovate and enhance products.
Responsibilities
Apply MLOps best practices, including data and code versioning, and model serving;
Develop new end-to-end product features;
Build robust, scalable code for production deployment;
Create deployment and monitoring pipelines for models in production;
Work with Generative AI solutions;
Collaborate with multidisciplinary teams, demonstrating strong communication and teamwork.
Requirements
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 tools for monitoring models in production;
Hands-on experience with MLOps and tools such as MLflow, Airflow, or similar;
Ability to implement AI solutions in production environments, with a focus on scalability and security;
Experience with LLM (Large Language Model) APIs;
Good communication skills and ease working with multidisciplinary teams.
**It is a plus if you have:**
Knowledge of governance and security techniques 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.
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