Design and implement a robust AI lifecycle to address NLP and Computer Vision challenges, utilizing back-end development, model deployment, pipeline optimization.
Contribute to all phases of the development life cycle (concept, design, test, release, and support).
Contribute to implementing RAG and GenAI/ LLM APIs which serve as core features for AI Studio and Copilot.
Contribute to implement high quality CV/ NLP model for skin and others healthcare domain.
Produce clean, efficient code based on specifications.
Integrate software components and third-party programs.
Maintain and improve the performance of existing software.
Troubleshoot, debug, and upgrade existing software.
Work closely with other team members, including software engineers and data scientists, to develop scalable AI solutions.
Collaborate with stakeholders to understand their requirements and provide technical guidance.
Stay abreast of the latest AI trends and technologies.
Qualifications:
Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
Proven experience as an AI/ Software Engineer, Data Scientist or similar roles.
Demonstrate proficiency in Natural Language Processing and Computer Vision techniques.
Proficiency in programming languages such as Python.
Knowledge of MLOps, data analysis, training, and deployment on server and IoT environments.
Familiarity with version control systems like Git.
Excellent problem-solving skills and attention to detail.
Strong communication and teamwork skills.
Fluency in English.
Have excellent Logical and Algorithm thinking
Nice to have:
Familiarity using Scrum/Agile development methodologies
Knowledge of Large Language Models or Generative AI’ techniques and applications
Knowledge about full-stack and devops.
Have the ability to learn quickly and manage yourself independently
Familiarity with databases: MySQL, Elasticsearch, MongoDB
Experience using AWS/Azure
Experience with MLOps tool such as Kubeflow, Pachyderm
Fluent in French
Working conditions and compensation:
Laptop for working
Working time: Monday to Friday (8 hours/day).
Daily snacks, fruits, coffee, and tea.
Full 13th month salary, bonus on holidays, Tet,...
Team Building activities weekly, monthly, yearly
Comfortable, positive convivial working environment with Flexible working time
Have the opportunity to work with experts and professors in AI and mathematics
Working and growing with a passionate, talented team & become a key member
Medical & Health insurance, Social insurance
At least one performance review every year, performance-based bonuses.
