Trách nhiệm chính

• Lead design and delivery of advanced AI solutions ensuring high performance, scalability, and cost efficiency in production environments.
• Solve complex AI challenges such as modeling, evaluation, multi‑agent systems, and develop reusable frameworks and standards adopted across teams.
• Ensure AI systems are developed and operated responsibly, addressing safety, ethical risks, and governance requirements.
• Evaluate novel algorithms and training techniques against production constraints; diagnose and unblock cross‑cutting modeling problems.
• Implement complex multi‑agent orchestration, long‑running stateful workflows, and quality optimization at scale.
• Build evaluation tooling and automated experiment pipelines; design and run online A/B tests with statistical rigor.
• Design testing strategies for AI systems; architect data platforms for ML training and LLM/RAG workloads.
• Conduct in‑depth evaluation of emerging AI technologies; contribute to responsible AI standards; analyze ethical and safety risks.
• Support AI risk assessments in product reviews; act as technical advisor within the domain.

Yêu cầu

• Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, or related quantitative field.
• Strong foundation in mathematics, statistics, and machine learning principles.
• 8+ 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, LLM applications, RAG with hands‑on experience in experimentation, model evaluation, and performance tuning.
• Demonstrated experience designing and building scalable AI systems and architectures, including microservices‑based solutions and distributed systems.
• Solid experience in data engineering for AI: building ETL/ELT pipelines, data lakes/warehouses, handling structured & unstructured data using Spark, Kafka, Airflow, SQL/NoSQL.
• Proficiency in programming languages such as Python, Go, Java, or Scala; experience with AI/ML frameworks (TensorFlow, PyTorch, JAX, transformers, LoRA, DPO, distillation, evaluation).
• Experience in AI experimentation & evaluation: A/B testing, model benchmarking, validation techniques, 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, compliance with regulatory requirements.
• Experience in MLOps/LLMOps practices (Level 2): model deployment, CI/CD pipelines, versioning, monitoring (Kubernetes, GPU orchestration, vector DBs, 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, 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; ability to evaluate and adopt new approaches.
• Basic experience or potential in AI strategy development and leadership, including mentoring junior team members.

Phúc lợi

• Rewarding remuneration structure commensurate with achievement and contribution.
• Top 2 best place to work in banking industry with various exciting activities: company anniversary, team building, active Saturday, year end party, etc.
• Opportunity to learn from top experts worldwide.
• Investment of over 500 million USD in large‑scale IT projects.

Thông tin khác

• Location: Số 6 Quang Trung, phường Trần Hưng Đạo, Ha Noi