Senior Machine Learning Engineer

As a Senior machine learning engineer at the American Bureau of Shipping, you will develop and implement machine learning models and use advanced statistical techniques to solve complex problems.
RESPONSIBILITIES: 
• Design machine learning systems and models and implement algorithms. • Analyze large, complex datasets to extract insights and decide on the appropriate techniques and algorithms suitable for the task. • Run machine learning tests and experiments. • Design robust machine learning systems that can handle a combination of data types (text, tables, images, etc.). • Leverage state-of-art generative AI toolsets (RAG, prompts, etc.) to solve complex natural language problems. • Build data and model pipelines for transparency and governance. • Collaborate with cross-functional teams to understand their needs and devise possible solutions. • Lead the design and implementation of AI solutions, leveraging Microsoft’s AI services. • Participate in fast-paced proof-of-concepts to refine solution design. • Stay up to date with the latest advancements in AI and ML technologies. 

• Bachelor’s degree in computer science, Mathematics, Engineering, Data Science or related field; Master’s or PhD preferred. • Proven experience as a Machine Learning Engineer or similar role. • Deep knowledge of math, probability, statistics, and algorithms. • Ability to write robust code in Python, C#, or another language. • Expertise with deep learning frameworks for natural language processing • Experiences with language foundation models and techniques to customize foundation models to specific use cases • Familiarity with CI/CD in model lifecycle management • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn). • Understanding of data structures, data modeling, and software architecture. • Excellent communication skills. • Ability to work in a team. • Outstanding analytical and problem-solving skills 

DESIRABLE EXPERIENCE 
• Experience designing, building, and maintaining solutions in commercial cloud platforms like Microsoft Azure. • Excellent knowledge of CI/CD concepts and tools such as Azure DevOps / GitLab. • Experience with data engineering and data science workflows. • Passion for continuous learning and staying at the forefront of AI advancements