AI/ML Engineer
Minneapolis, United States
Full Time Mid-level / Intermediate USD 95K - 137K
Ryan Companies
From commercial real estate project conception to completion and beyond, we put our hearts into creating spaces that bring your story to life.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 of experience and welcome input on what the the future of this team can do and what it looks like in the future.
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
- 5+ years of experience developing and deploying AI/ML solutions on cloud platforms such as Azure or GCP.
- Experience developing and deploying custom RAG applications to enhance capabilities for document analysis, image recognition, and semantic search.
- Experience with large language models (LLMs), and fine-tuning or customization for specific applications
- Knowledge of cloud infrastructure, data pipelines, and preprocessing for AI/ML
- Experience in scaling AI-driven applications from concept to production
- Familiarity with vector databases and data integration techniques
- Experience building AI agents for enterprise applications
- Bachelor's Degree (or equivalent related work experience) in Computer Science, Data Science, or related fields.
- Proficient in Python and SQL
- Proficient in NLP
- Familiar with Computer vision
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.
Tags: APIs AWS Azure Computer Science Computer Vision Data pipelines ETL GCP Generative AI Google Cloud Java LLMs Machine Learning ML models Model deployment NLP Pipelines Python RAG Research Responsible AI SQL
Perks/benefits: Career development Competitive pay Flex vacation Health care Insurance Team events
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