Artificial Intelligence Machine Learning Solutions Engineer 2
About the role
The AI / ML Solutions Engineer II is responsible for independently designing, building, and leading advanced AI, machine learning, automation, and intelligent analytical solutions that address highly complex business needs. This role owns end-to-end technical execution for major advanced solution efforts and helps the organization solve higher-value problems through predictive insights, automation, and emerging technologies.
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
Responsibilities
- Independently design, build, and lead advanced AI, machine learning, automation, and analytical solutions for highly complex business needs
- Define technical architectures, implementation approaches, and lifecycle plans for innovation-led use cases
- Prepare, test, validate, and optimize data, models, logic, and solution components to ensure solution quality, reliability, and business value
- Partner with Data Solutions Leads, business stakeholders, and technical teams to shape practical advanced solution strategies
- Monitor, maintain, enhance, and document deployed AI, ML, or automation solutions to support sustainability, reuse, and ongoing value realization
- Other duties as assigned
Skills
- Deep experience in AI, machine learning, advanced analytics, automation, or intelligent solution development
- Strong proficiency in Python, SQL, and advanced technical tools used for model development, orchestration, and deployment
- Experience leading end-to-end design and implementation of predictive, optimization, classification, recommendation, or LLM-based solutions
- Ability to define technical approaches, evaluate tradeoffs, and lead advanced solution lifecycles independently
- Strong understanding of data preparation, model evaluation, performance tuning, monitoring, and operationalization
- Ability to translate complex business needs into practical and scalable advanced technical solutions
- Strong collaboration and communication skills with solution leads, stakeholders, and technical contributors
- Ability to create new technical patterns or approaches when established methods are insufficient
Qualifications
- Bachelor's degree (4 years)
- 7 or more years experience