AI/ML Engineer Intern at KMS Technology

Ho Chi Minh City, , Vietnam -

Full Time

Start Date

Immediate

Expiry Date

02 Feb, 26

Salary

0.0

Posted On

04 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Python, TensorFlow, PyTorch, Scikit-learn, Data Preprocessing, Feature Engineering, Model Evaluation, Generative AI, Deep Learning, NLP, Computer Vision, Statistical Analysis, Problem Solving, Time Management, Teamwork

Industry

Software Development

Description

Company Description KMS Technology is a strategic engineering company helping businesses turn bold ideas into high-impact solutions—faster. Founded in 2009 as a U.S.-based services company, we’ve grown into a global organization with locations in the US, Vietnam, and Mexico. KMS is trusted globally for the quality of our engineering and consulting services. We bring deep expertise in product development and quality assurance, AI-native engineering, and delivery excellence to every engagement. Our mission is to help customers build what’s next—accelerating innovation, crafting brilliant solutions, and creating real-world impact. At KMS, we believe sustainable growth is built on the success of our clients and employees and in making a lasting contribution to our communities within 3 main business sectors: Enterprise software development services: Leverage software domain expertise to help clients make better business decisions in technology platforms, increase speed-to-market, and gain critical development support through innovative technology solutions Healthcare technology solutions: Build transformative next-gen technologies to solve healthcare’s most challenging problems, providing innovative tools and expertise to providers, payers, life sciences, and medical technology vendors Banking, Financial Services & Insurance (BFSI) technology solutions: Empower BFSI businesses to embrace the digital finance revolution and expedite clients’ journey towards complete digitalization, technology consulting, data analytics, software development, and software quality Job Description Collaborate with the team to research, prototype, and integrate AI/ML features into products. Study and enhance existing data science prototypes. Design, develop, and evaluate machine learning models and systems. Implement and fine-tune ML algorithms through statistical analysis and testing. Train, retrain, and optimize ML models for improved performance. Extend or customize existing ML libraries when necessary. Conduct market research on U.S. healthcare software trends (e.g., telehealth, remote care, health chatbots). Collaborate with the solution team and product managers on marketing strategies for healthcare-related products. Follow development guidelines to deliver clean, efficient, and testable code. Perform other tasks assigned by the Line Manager. Qualifications General Requirements: Currently pursuing a degree in Computer Science, Artificial Intelligence, Software Engineering, or a related IT field with a career interest in AI/ML. Available at least 4 days/week for 3–6 months (potential for full-time conversion). Upper-intermediate English proficiency. Analytical, detail-oriented, and proactive with strong problem-solving and time management skills. Team-oriented and eager to learn emerging technologies. Technical Requirements: Solid understanding of machine learning concepts, algorithms, and statistical models. Proficient in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience in data preprocessing, feature engineering, and model evaluation. Hands-on experience with Generative AI is a plus. Knowledge of Deep Learning, NLP, or Computer Vision is an advantage. Additional Information BE YOUR BEST WITH KMS Working in one of the Best Places to Work in Vietnam Building large-scale & global software products Working & growing with Passionate & Talented Team Diverse careers opportunities with Software Outsourcing, Software Product Development, IT Solutions & Consulting Attractive Allowance and Benefits Flexible working time Various training on hot-trend technologies, best practices, and soft skills Big annual year-end party every year, team building, etc. Fitness & sport activities: football, tennis, table-tennis, badminton, yoga, swimming… Joining community development activities: 1% Pledge, charity every quarter, blood donation, public seminars, career orientation talks,… Free in-house entertainment facilities (foosball, ping pong, gym…), coffee (latte, cappuccino, espresso) and snack (instant noodles, cookies, candies…) And much more... Send your Resume including Academic Transcript to join us and let yourself explore other fantastic things!

Responsibilities

Collaborate with the team to research, prototype, and integrate AI/ML features into products. Design, develop, and evaluate machine learning models and systems.