AI / ML Engineer

Job Description :

Ryan Companies seeks to hire an AI / ML Engineer to join a newly formed team of experts in our Minneapolis headquarters. This will be a hybrid role, 3 or 4 days in the office, to support a collaborative environment to support a wide range of Ryan Companies business. We are looking for 2 to 5 years of experience. We welcome new insights and input on what capabilities the team can bring and how the team develops.

The AI Engineer would report to the Director of AI, and be at the forefront of our AI initiatives across the business. This role will be responsible for driving the development, research, and application of machine learning, and generative AI solutions targeted at solving key business challenges and opportunities.

The AI Engineer will be directly involved in advancing Ryan's data maturity and continual progress as a data-driven decision-making Real Estate Development, Construction, Design, and Management organization.

Responsibilities

AI Model Development : Design, develop, and deploy AI / ML models and applications to solve complex business challenges.

Initiative Leadership : Lead the development and execution of strategic AI initiatives and contribute to the strategic direction of Ryan's AI roadmap.

Data Preparation : Collect, clean, and preprocess datasets to ensure quality for training and fine-tuning AI models.

Application Development : Write scalable, efficient, and maintainable code for AI applications using languages like Python or Java.

Model Deployment : Implement and maintain AI models in production environments, ensuring system stability, scalability, and performance.

Cost Management : Understand and manage cost frameworks for production AI applications and solutions.

Culture Building : Actively participate in fostering Ryan's data culture and promoting data-driven decision-making.

Required Experience

3+ years of experience in developing and deploying AI / ML solutions on cloud platforms such as Azure, AWS or Google Cloud Platform (GCP).

Proven experience developing and deploying custom Retrieval-Augmented Generation (RAG) applications for tasks such as document analysis, image recognition, and semantic search.

Hands-on experience with large language models (LLMs), including fine-tuning and customization for specific use cases.

Strong knowledge of cloud infrastructure, data pipelines, and preprocessing techniques for AI / ML.

Demonstrated success in scaling AI-driven applications from concept to production environments.

Familiarity with vector databases and data integration methods.

Experience building AI agents for enterprise applications.

Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent work experience.

To be Successful

Strong problem-solving skills and the ability to communicate effectively with both technical and non-technical audiences.

Eagerness to learn the business of construction, real estate, and design to create impactful and valuable AI solutions.

Ability to work collaboratively in a team environment with diverse skill sets.

Resourceful, entrepreneurial, and innovative mindset, with a drive to tackle ambiguous challenges effectively.

Commitment to staying updated on AI / ML trends and leveraging them to deliver business value.

Understanding of ethical and responsible AI principles and practices

Technical Skills

Proficient in Python and SQL

Proficient in NLP

Familiar with Computer vision

Experience with ETL

Experience with APIs and Data Integrations

Experience integrating AI insights into BI platforms.

Eligibility :

Positions require verification of employment eligibility to work in the U.S.

Compensation :

The base salary range is $95,000-$137,000 annually. The salary base rate may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include commission and / or an incentive program.

Benefits

Competitive Salary

Medical, Dental and Vision Benefits

Retirement and Savings Benefits

Flexible Spending Accounts

Life Insurance

Educational Assistance

Paid Time Off (PTO)

Parenting Benefits

Long-term Disability

Ryan Foundation - charitable matching funds

Paid Time for Volunteer Events

Ryan Companies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Non-Solicitation Notice to Recruitment Agencies :

Ryan Companies kindly requests that recruitment agencies and third-party recruiters do not submit unsolicited resumes or candidate information to any Ryan Companies employee or office. Ryan Companies will not be responsible for any fees or expenses associated with unsolicited submissions. If recruitment services are required, we will reach out directly to agencies on our approved vendor list. We appreciate your understanding and cooperation.