Machine Learning Engineer - job 3 of 3

Dice is the leading career destination for tech experts at every stage of their careers. Our client, JS Consulting Solutions, is seeking the following. Apply via Dice today!Position: Machine Learning EngineerLocation: Houston, TX 77389- HybridDuration: 11+ monthsAn active LinkedIn profile is highly preferred.One of our clients in the maritime industry is searching for a machine learning engineer for the following role• 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.Primary Skills• Bachelor's degree in computer science, Mathematics, Engineering, Data Science or related field; Masters 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 skillsDesirable 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.