Senior AI Solutions Engineer
2 weeks ago
Position Overview:
We are seeking a highly skilled Senior Machine Learning Engineer to join our innovative team. This role involves providing technical expertise in the design, application, and integration of advanced AI and machine learning technologies.
Key Responsibilities:
Under the guidance of the AVP Chief Data Officer, you will:
- Oversee and coordinate strategic AI initiatives throughout the organization.
- Foster relationships across various project teams and operational partners to facilitate the development of AI solutions.
- Evaluate and recommend tools and methodologies to enhance operational effectiveness.
- Lead the end-to-end process of data collection, cleaning, engineering, and model training and deployment.
Technical Expertise:
You will work with complex data environments, utilizing information from electronic medical records, healthcare claims, and unstructured data sources. Collaborating with a multidisciplinary team, you will:
- Identify high-value opportunities for AI applications.
- Create and implement algorithms that drive operational improvements and predictive analytics.
Qualifications:
Minimum Requirements:
- Bachelor's degree in Machine Learning, Computer Science, Mathematics, or a related field with five years of relevant experience, or a Master's/PhD with two years of experience in machine learning techniques.
Preferred Qualifications:
- Publications in peer-reviewed journals or conferences.
- Participation in high-ranking Kaggle competitions.
Experience:
- Proficiency in programming languages such as Python and Java.
- Familiarity with cloud services like Amazon ML, Microsoft Azure, or Google Cloud ML.
- Experience in building natural language processing and computer vision systems.
Core Competencies:
- Strong understanding of data science principles and the AI lifecycle.
- Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.
Work Environment:
This position is based in a normal office environment, with reasonable accommodations available for individuals with disabilities.
Additional Information:
Scheduled Weekly Hours: 40
Shift: Day
Exempt Status: Exempt
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