Enterprise AI Engineer I

Kidder Mathews Careers•Seattle, WA

1d•$100,000 - $115,000•Onsite

About The Position

The Enterprise AI Engineer is responsible for developing and implementing cutting-edge artificial intelligence solutions that drive innovation and enhance business processes. This role involves collaborating with cross-functional teams to identify opportunities, design AI models, analyze data, and deploy AI solutions. The Enterprise AI Engineer will play a pivotal role in shaping the organization's AI strategy, contributing to its growth, and ensuring the highest levels of accuracy and performance of AI systems.

Requirements

Bachelor's degree in computer science, data science, or a related field.
Proven experience in developing and deploying AI solutions, preferably in a professional setting
Solid understanding of machine learning algorithms, deep learning frameworks, and statistical modeling
Proficiency in programming languages such as Python, R, or Java, and experience with AI libraries (e.g., TensorFlow, PyTorch)
Strong analytical and problem-solving skills, with the ability to interpret complex data sets
Knowledge of data preprocessing techniques, feature engineering, and dimensionality reduction
Familiarity with cloud-based AI services and platforms (e.g., AWS, Azure, Google Cloud)
Experience with natural language processing (NLP) techniques and tools
Excellent communication skills, with the ability to present findings and explain AI concepts to non-technical stakeholders
Strong project management skills, with the ability to prioritize tasks and deliver projects within deadlines
Detail-oriented mindset with a focus on quality, accuracy, and continuous improvement
Ability to work collaboratively in cross-functional teams and adapt to fast-paced environments
Proficiency in machine learning algorithms, neural networks, and deep learning techniques
Strong coding skills in Python, R, or Java, with the ability to develop and optimize AI models
Solid understanding of data preprocessing, feature engineering, and model evaluation techniques
Knowledge of cloud-based AI services and platforms for scalable and efficient AI development
Ability to analyze complex data sets, identify patterns, and extract meaningful insights
Familiarity with natural language processing (NLP) tools and techniques for text analysis
Excellent problem-solving and critical-thinking abilities to address AI-related challenges
Strong documentation skills for creating comprehensive reports and technical documentation
Effective communication and interpersonal skills to collaborate with diverse teams and stakeholders
Strong organizational skills to manage multiple projects and deliver results on time
Strong internet research skills
Proficient in Generative AI

Nice To Haves

A master's or Ph.D. is preferred
Interest in commercial real estate preferred
Ability to understand commercial real estate terms and standards

Responsibilities

Develop and implement AI models and algorithms to solve complex business problems
Collaborate with stakeholders to identify and define AI project objectives, requirements, and success criteria
Collect, preprocess, and analyze large datasets to train and validate AI models
Design and optimize machine learning architectures, neural networks, and deep learning models
Utilize natural language processing (NLP) techniques for text analysis and sentiment analysis
Explore and apply state-of-the-art AI methodologies and tools to improve existing systems
Evaluate and select appropriate AI frameworks, libraries, and technologies for project development
Stay up-to-date with the latest advancements and research in AI and machine learning
Perform rigorous testing and validation of AI models to ensure accuracy and robustness
Collaborate with software engineers to integrate AI solutions into existing applications and systems
Provide technical guidance and support to team members on AI-related projects
Prepare comprehensive documentation and reports on AI models, methodologies, and findings
Participate in knowledge sharing activities, including training sessions and workshops