About the role

The Software Engineer will build, deploy, and maintain machine learning models while designing new applications to automate existing processes. They will also be responsible for investigating and remediating issues within machine learning infrastructure.

What they look for

Machine learning NLP Deep learning LLMs RAGs Python Java C++ MySQL Git Business analysis Process documentation Data science Computer vision Communication

Requirements

Candidates must hold a 4-year degree in computer science or an equivalent field and possess at least one year of experience in machine learning, NLP, or deep learning. Proficiency in a modern object-oriented programming language and experience with LLMs and RAGs are required.

Benefits

Medical insurance Accidental insurance Social security fund contribution Paid time off Vacation Holiday Give-back day Floating day

Full description

Smart Data Solutions, a leading provider of data management, claim routing and workflow solutions to health plans and TPAs, is looking for a Software Engineer I, Machine Learning to join our team!

What you’ll be doing?

Build, deploy, maintain, troubleshoot, and improve machine learning models.
Design and implement new applications leveraging machine learning and related technology.
Develop and improve machine learning infrastructure.
Analyze and automate existing processes using machine learning.
Investigate and remediate issues with machine learning processes.
Other duties as assigned.

What we’re looking for?

4-year degree in computer science or equivalent degree.
1+ year of experience with machine learning, NLP, or deep learning concepts.
Must have experience with LLMs and RAGs.
Proficiency in at least 1 modern object-oriented programming language (Python, Java, C#, C++, etc.).
Knowledge of common machine learning, NLP, computer vision, and data science libraries
Basic relational database knowledge (MySQL)
Basic 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

Why this is the company for you?

Top Benefits & Perks:

A company culture that is authentic, innovative, and collaborative! Our most powerful strength is our people! We build impactful solutions for our customers - their success is our success!
A professional development and growth-oriented workplace.
Generous benefits including medical/accidental insurance and Social Security Fund contribution.
A flexible environment with a competitive paid time off package; including vacation, holiday, give-back day, and a floating day.

Who is Smart Data Solutions?

Smart Data Solutions (SDS) is a technology leader in healthcare process automation and interoperability. As a strategic partner, SDS helps clients digitally transform their operations, delivering tangible value through reduced costs, streamlined workflows, and an improved customer experience. With data, AI, and automation at its core, SDS provides solutions in Digital Mailroom and Data Capture, Clearinghouse, Intelligent Medical Records, Prior Authorization and Claim Operations. Trusted by over 500 clients—including multiple Blue Cross Blue Shield plans, regional health plans, TPAs, providers, and healthcare partners—SDS streamlines complex front, middle, and back-office operations.

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.

9:00 AM - 6:00 PM (Nepal Time)