Offer summary
Qualifications:
4+ years developing ML applications, Proficient in Python, JavaScript.Key responsabilities:
- Develop AI systems to automate tasks
- Implement algorithms for data analysis
- Collaborate and solve complex problems
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Priority access
Match score not available
Senior AI/ML Engineer, KMS Healthcare
78% Flex
EXTRA HOLIDAYS - EXTRA PARENTAL LEAVE
Job description
Your missions
Company Description
KMS Technology was established in 2009 as a U.S.-based software services company. With development centers in Vietnam and Mexico, we have been trusted globally for the superlative quality of our software consulting & development services, technology solutions, and engineers' expertise. We pride ourselves on creating brilliant solutions for our clients by leveraging deep expertise, advanced technologies, and delivery excellence for a shared success where everyone can reach their fullest potential. With three Business Lines:
- KMS Software: 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.
- KMS 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.
- KMS Healthcare: 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.
Job Description
- Develop software systems utilizing machine learning and artificial intelligence to automate tasks, improve efficiency, and create intelligent products for our customers
- Design and implement algorithms and models for data analysis and prediction.
- Utilize Python and potentially JavaScript to build robust and scalable solutions
- Work with popular machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Analyze, design, and implement software systems that incorporate AI components.
- Ensure scalability, security, and performance of software systems.
- Collaborate effectively with cross-functional to identify and solve complex problems
- Stay updated with the latest trends and techniques in AI and machine learning.
- Follow prescribed procedures and instructions to produce well-designed, testable, clean code.
Qualifications
- Likely having 4+ years of experience developing machine learning applications.
- Proficiency in programming languages such as Python, with familiarity in JavaScript.
- Strong understanding of machine learning and deep learning algorithms, experience with frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Experience applying machine learning techniques in real-world applications is a plus.
- Strong understanding of computer vision, or NLP concepts.
- Good English skills and passion for the field of AI.
Additional Information
Benefits and Perks
- Working in one of the Best Places to Work in Vietnam, Top 10 ITC Company in Vietnam
- Attractive Salary & Benefits, full salary in probation, social insurance on full gross salary
- Performance appraisal twice a year, 13th-month salary and performance bonus
- Premium healthcare insurance for you and your loved ones
- Working 5 days/week , from Monday to Friday
- 18+ paid leave days/year
- Company trip, 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 (football, ping pong, gym…), coffee, and snacks (instant noodles, cookies, candies…)
And much more, join us and let yourself explore other fantastic things!
Required profile
Experience
Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory. Share
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