Senior Software Engineer (ML/LLM Experience)

We are seeking an experienced Senior Software Engineer with a strong background in software development. The ideal candidate will have expertise in developing and deploying robust applications.
Experience with machine learning models, especially large language models, is mandatory. This role involves collaborating with cross-functional teams to design, implement, and maintain scalable solutions that address business challenges and enhance our product offerings.
Key Responsibilities:
Design, develop, and deploy scalable applications using TypeScript and Python.
Collaborate with data scientists, engineers, and product managers to integrate solutions into our products and services.
Implement best practices for code quality, testing, and deployment.
Stay up-to-date with the latest advancements in software development and apply them to improve our solutions.
Mentor and provide technical guidance to junior developers and team members.
Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Solid experience in software development using TypeScript or [protected info]
Minimum of 6 years of production-level experience in Python development.
Strong understanding of software engineering principles, data structures, and algorithms.
Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes).
Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
Excellent communication skills and ability to articulate complex technical concepts to non-technical stakeholders.
Preferred Qualifications:
Experience with developing and deploying machine learning models, especially large language models (e.g., GPT, BERT), and familiarity with NLP frameworks.
Understanding of ML algorithms, model optimization, and experience with ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.
Proficiency in data preprocessing, feature engineering, and model evaluation.
Experience with MLOps practices and tools.
Familiarity with version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) pipelines.
Knowledge of data visualization tools and techniques.
Publications or contributions to the ML/AI community.
Working with us:
Working time: 9am - 6pm (Vietnam Time)
12 days of annual leaves
Extra pay for Overtime
Salary package received in NET amount (USD)
Perks:
100% Remote Work - Our company has operated virtually since inception with robust remote systems.
Fast-growing company - Excellent opportunities for career development and professional growth.
Positive team culture - A supportive, collaborative, and friendly working environment.
Engagement events - Company trips, team building activities, year-end parties, gifts for special occasions, and monthly team meetings.
Learning & Development - Access to online courses and professional training programs.
Healthcare benefit - Medical card provided to support your health and well-being.
Equipment support allowance - Provided after probation to ensure you have the necessary tools for effective remote work.