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Senior Machine Learning Engineer
3 months ago
- Build, deploy, maintain, troubleshoot, and improve AI models.
- Design and implement new applications leveraging AI and related technology
- Maintain and improve existing AI applications
- Develop and improve AI infrastructure.
- Analyze and automate existing processes using AI.
- Investigate and remediate issues with AI processes.
Leadership
- Identify and architect AI product and infrastructure improvements
- Lead product implementations
- Mentor and train Junior AI Developers
- Assist with assignment and tracking of AI projects among Junior AI Developers
Other
- Other duties as assigned.
Required skills:
- 4-year degree in computer science or equivalent degree
- 3+ year of experience with machine learning, NLP, or deep learning concepts
- Proficiency in high level programming languages Python and Java
- Advanced knowledge of common machine learning, NLP, computer vision, and data science libraries
- Relational database knowledge (MySQL)
- Unix-like operating system knowledge
- Experience with Git/Version Control
- Highly organized and disciplined.
- Business analysis
- Microsoft Excel, Word, and Windows
- Ability to understand processes, analyze, and identify improvements.
- Strong writing skills, particularly for process documentation and communication
- Ability to comprehend and follow written policies, procedures, and directions.
- Disciplined in prompt communication responsiveness.
- Communication and reporting style that emphasizes simplicity and elimination of noise in favor of substantive and actionable data.
- Action orientation and ability to consistently complete assigned tasks on time
Top Benefits & Perks:
- A company culture that is authentic and values forward thinking, collaboration, and fairness We work hard for our customers and have fun along the way
- A professional development and growth-oriented workplace
- Generous benefits including, health insurance, short-term, and long-term disability
- 401(k) with a company match to provide a better future in your retirement years
- Work-life balance with competitive paid time off package; including vacation, holiday, and a floating day
For over 20 years, Smart Data Solutions has been partnering with leading payer organizations to provide automation and technology solutions enabling data standardization and workflow automation. The company brings a comprehensive set of turn-key services to handle all claims and claims-related information regardless of format (paper, fax, electronic), digitizing and normalizing for seamless use by payer clients. Solutions include intelligent data capture, conversion and digitization, mailroom management, comprehensive clearinghouse services and proprietary workflow offerings. SDS’ headquarters are just outside of St. Paul, MN with 300+ employees and leverages dedicated onshore and offshore resources as part of its service delivery model. The company counts over 420 healthcare organizations as clients, including a number of Blues plans, large regional health plans and leading independent TPAs, handling over 500 million transactions of varying types annually with a 98%+ customer retention rate. SDS has also invested meaningfully in automation and machine learning capabilities across its tech-enabled processes to drive scalability and greater internal operating efficiency while also improving client results.
SDS recently partnered with a leading growth-oriented investment firm, Parthenon Capital, to further accelerate expansion and product innovation.
Location:This position is located in the Dallas, TX office. This is a hybrid position with requirements of 3 days in office per week.
Smart Data Solutions is an equal opportunity employer.All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.