About this role
Professionals who thrive on solving complex technical challenges and translating data prototypes into scalable systems will find a strong fit at Black Canyon Consulting. The engineering team builds and maintains advanced machine learning applications that address critical business needs for clients. Daily responsibilities include designing algorithms, training models, and collaborating closely with cross-functional stakeholders to identify new opportunities for artificial intelligence.
The organization exists to deliver meaningful results through applied artificial intelligence and data science solutions. Individuals who succeed in this environment possess a solid foundation in mathematics, statistical analysis, and software engineering. Anyone joining the team will directly shape the implementation of machine learning systems from initial concept through production deployment.
What you will do
- Design, develop, and implement machine learning systems and applications.
- Create, train, evaluate, fine-tune, and retrain machine learning models based on performance results.
- Research and implement appropriate machine learning algorithms, frameworks, and tools.
- Transform data science prototypes into scalable machine learning solutions.
- Conduct machine learning tests and experiments to evaluate model effectiveness.
- Collaborate with stakeholders to identify opportunities for AI-enabled solutions.
- Apply sound software engineering, data modeling, and architectural principles.
What you need
- Possess a Bachelor’s degree.
- Demonstrate experience developing, implementing, and maintaining machine learning models and systems.
- Maintain a strong knowledge of machine learning algorithms, techniques, mathematics, probability, statistics, and algorithms.
- Bring experience with data structures, data modeling, and software architecture.
- Show the ability to perform statistical analysis and use results to evaluate and fine-tune models.
- Have experience developing robust code using Python, Java, and/or R.
- Bring familiarity with machine learning frameworks such as PyTorch or Keras, along with libraries like scikit-learn.
Nice to have
- Experience extending or customizing existing machine learning libraries and frameworks
- Experience transforming data science prototypes into production-ready solutions
- Experience evaluating emerging AI/ML technologies, frameworks, and tools
- Experience working with multidisciplinary or cross-functional technical teams
- Experience identifying business or technical processes where AI and machine learning can provide measurable benefits
Benefits
- Medical, dental and vision coverage
- 401k plan with employer contribution
- Paid holidays
- Vacation
- Tuition reimbursement
Skills and tech stack
Questions candidates ask
What tools and frameworks will I use?
You will develop robust code using Python, Java, and/or R. Additionally, the work involves using machine learning frameworks such as PyTorch or Keras alongside libraries like scikit-learn.
What does the team do?
The team supports the development and implementation of artificial intelligence and machine learning solutions. They work with technical and cross-functional teams to identify opportunities where AI can address complex business and technical challenges.
What benefits are included?
The competitive benefits package includes medical, dental and vision coverage, and a 401k plan with employer contribution. Employees also receive paid holidays, vacation, and tuition reimbursement.
What are the core duties of the job?
The role involves designing, developing, testing, and maintaining machine learning systems and applications. You will work with data science prototypes, select appropriate algorithms, and train models based on performance results.
The application is on the official Black Canyon Consulting careers page.
Apply on company site