Techcombank đang tuyển dụng Senior AI Engineer (40001866) — vị trí làm việc tại TP. Ha Noi.
Thông tin tuyển dụng Techcombank
| Thông tin | Chi tiết |
|---|---|
| Vị trí | Senior AI Engineer (40001866) |
| Ngân hàng | Techcombank |
| Đơn vị | AI Transformation Division |
| Địa điểm | TP. Ha Noi |
Mô tả công việc
KEY ACCOUNTABILITIES (maximum 3 sections and 2000 words for each section)
Key Accountabilities (1)
AI Craft – Specialization
- Apply and evaluate established and emerging algorithms under production constraints; resolve complex modeling issues within project scope (e.g. data quality gaps, moderate distribution shift, performance trade-offs), while escalating highly ambiguous or cross-system problems.
- Implement and operate multi-agent workflows and stateful pipelines for defined use cases; experiment with models/frameworks hands-on and extend existing agent patterns and prompt libraries where applicable.
- Apply optimisation techniques (latency, cost, quality) using existing approaches; monitor system performance and contribute to tuning and capacity decisions within the team.
- Demonstrate solid domain expertise and continue developing advanced skills; support team members through technical execution and knowledge sharing; participate in reviews and follow established engineering practices
AI Craft – Evaluation - Design and execute evaluation setups for features/systems using predefined approaches (holdout sets, offline metrics, structured human or LLM-based review loops).
- Analyse results, identify issues, and propose improvements to models or prompts.
- Support controlled experiments (e.g. basic A/B tests, shadow testing) under guidance; ensure adherence to evaluation standards and processes.
Key Accountabilities (2)
Engineering for Production - Apply and contribute to testing strategies for AI systems (data validation, model regression, prompt-output checks, basic agent testing), leveraging existing tools and frameworks.
- Implement and maintain components of data platforms supporting ML and LLM/RAG workloads; consider cost, latency, and freshness trade-offs within assigned scope.
- Design and build end-to-end AI solutions for specific use cases, including data flow, serving, caching, fallback, and monitoring; ensure compatibility with existing systems and APIs following defined standards.
- Operate within established CI/CD and operational processes (deployment, drift monitoring, incident handling); participate in incident response and continuous improvement activities.
- Assist in refining internal tools, guidelines, and processes to improve team efficiency and engineering quality."
Key Accountabilities (3)
"Research & Emerging Technologies & AI Safety, Ethics & Responsible AI - Apply and evaluate emerging AI technologies and approaches in designing and implementing solutions for specific projects/use cases.
- Apply responsible AI standards and ensure compliance with safety, ethical, and regulatory guidelines.
- Perform basic risk analysis within project scope; propose and implement mitigation measures.
- Conduct system testing and evaluation (e.g., stability, reliability); support risk assessment activities.
- Provide support in mentoring other engineers on best practices.
Qualifications
- Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, or a related quantitative field
- Strong foundation in mathematics, statistics, and machine learning principles
- Relevant certifications in AI/ML, Cloud (Azure, AWS, GCP), or Data Engineering are a plus
- English proficiency in line with Techcombank’s policy
Work Experience - 5+ years of experience in AI/ML, data engineering, and software development, with proven delivery of end-to-end AI solutions in production environments
- Strong expertise in AI specialization, including machine learning, deep learning, NLP, and LLM applications, RAG with hands-on experience in experimentation, model evaluation, and performance tuning
- Demonstrated experience in designing and building scalable AI systems and architectures, including microservices-based solutions and distributed systems
- Solid experience in data engineering for AI, including building ETL/ELT pipelines, data lakes/warehouses, and handling structured & unstructured data using tools like Spark, Kafka, Airflow, and SQL/NoSQL databases
- Proficiency in programming languages such as Python, Go, Java, or Scala, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, / JAX, transformers, fine-tuning (LoRA, DPO), distillation, evaluation.)
- Experience in AI experimentation & evaluation, including A/B testing, model benchmarking, validation techniques, and monitoring model performance in production
- Working knowledge of AI Safety, Ethics & Responsible AI, Red-teaming, model risk management, alignment with SBV, MAS, Basel III, ensuring fairness, transparency, explainability, and compliance with regulatory requirements
- Experience in MLOps/LLMOps practices (Level 2), including model deployment, CI/CD pipelines, versioning, and monitoring (e.g., Kubernetes, GPU orchestration, vector DBs, CI/CD for ML, drift and bias monitoring.)
- Proven ability in business needs analysis, translating business problems into AI-driven solutions and measurable outcomes
- Experience managing stakeholders, collaborating with cross-functional teams (business, risk, IT), and influencing decision-making
- Track record of delivering AI projects end-to-end using Agile methodologies, ensuring timelines, quality, and business impact
- Exposure to emerging technologies and research trends in AI, with the ability to evaluate and adopt new approaches when relevant
- Basic experience or potential in AI strategy development and leadership, including mentoring junior team members and contributing to capability building
Cách thức ứng tuyển
Xem chi tiết và ứng tuyển tại: Techcombank
Ngày đăng: 03/09/2026
Nguồn: Techcombank
Đăng bởi: UB Job Crawler