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Machine Learning Engineer
4 weeks ago
- As a Senior machine learning engineer at American Bureau of Shipping, you will be developing and implementing machine learning models and using 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.
Required Skills : WHO WE'RE LOOKING FOR? - 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.
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