- Deneyim
- 2-5 yaş
- Maaş
- USD 69,555 – USD 134,881 / year
- Açılışlar
- 1
- Yayınlandı
- 5 saat önce
- Çalışma modu
- Ofiste
- Eğitim
- lisans
- Sürdürmek
- Başvuru yapılması gerekmektedir.
Çalışacağınız yer
İş tanımı
Company Overview
Doosan Bobcat is a global leader providing construction, agriculture, landscaping, and grounds maintenance equipment and services. With over 43,000 employees in 38 countries, the company is dedicated to empowering individuals and improving communities. Its North America headquarters is located in West Fargo, North Dakota.
Role Summary
The AI Engineer will be responsible for the design, development, and deployment of advanced generative AI and wider AI solutions. This role requires collaboration with product, data science, and engineering teams to turn complex business problems into scalable AI architectures and impactful applications.
Key Responsibilities
- Identify and evaluate advanced generative AI opportunities alongside product and business stakeholders.
- Convert AI prototypes into operational software using CI/CD pipelines, automated testing, and ongoing monitoring.
- Develop scalable ETL pipelines to facilitate model training and inference processes.
- Deploy AI applications in cloud-native settings ensuring comprehensive observability.
- Design multi-step AI agents that integrate multiple APIs and enterprise systems.
- Improve AI frameworks by adding custom components and optimization techniques.
- Lead interdisciplinary projects and collaborate between product, engineering, and operations teams.
- Provide mentorship to junior engineers through code reviews and technical guidance.
Qualifications
- Bachelor’s degree in Computer Science, AI, or a related discipline is required; Master’s degree preferred.
- 2 to 5 years of professional experience in AI/ML engineering, focusing on production deployment of AI models.
- Proficiency in Python programming language with solid knowledge of large language models and AI agent frameworks.
- Experience with containerization (e.g., Docker) and cloud platforms such as AWS or Azure.
- Capable of building RESTful and GraphQL APIs and designing effective data pipelines.
- Strong communication skills with ability to convey technical concepts clearly to diverse audiences.
- Demonstrated leadership in cross-functional teams and mentoring junior personnel.
- Familiarity with MLOps practices including CI/CD, model monitoring, and awareness of data privacy and ethics concerns.
- Excellent analytical and problem-solving capabilities.
- Willingness to adopt emerging technologies and improve workflows in a dynamic setting.
Additional Information
Doosan Bobcat is an equal opportunity employer. All qualified candidates will be considered regardless of sex, age, race, religion, disability, veteran status, or other protected categories. Reasonable accommodations are available upon request. Beware of fraudulent job offers; official recruitment involves a formal selection process.
Compensation and Benefits
The salary for this role ranges from $69,555 to $134,881 annually based on experience and other factors. A comprehensive reward package includes potential annual bonuses, medical, dental, vision coverage, 401(k) matching, disability insurance, health and flexible spending accounts, employee assistance, life insurance, paid leave options, tuition reimbursement, and other employee well-being and community engagement programs.
Location
This position is based onsite in Minneapolis, Minnesota.