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Sr/Expert AI Engineer Data Scientist, Python - 4B063

TNEX · Hà Nội
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Loại hình
Toàn thời gian
Hình thức
Tại văn phòng
Cấp bậc
Nhân viên
Ngành nghề
Kỹ thuật / Cơ khí
Mức lương
Thương lượng
Địa điểm
Not Available, Hà Nội, Hà Nội

Tổng quan

  • AI Products & Customer Journeys
  • Own the design and implementation of AI-driven products• Customer service chatbots & voicebots
  • Internal analytics & decisioning co-pilots
  • AI assistants for operations, sales, and risk teams
  • Translate business problems (conversion, cost-to-serve, fraud, credit decisioning, CX) into AI solutions
  • Design LLM workflows using RAG, agents, tools, and structured reasoning
  • Integrate models via AWS Bedrock with strict controls on latency, cost, and reliability
  • Fintech-Grade AI & ML Platform
  • Build and evolve a shared AI & ML platform supporting:• Predictive ML (risk, fraud, personalization)
  • LLM & GenAI workloads
  • Productionize models with strong MLOps practices:• Experiment tracking & model registry (MLflow)
  • CI/CD for models, prompts, and agents
  • Orchestrate data & ML pipelines using Airflow
  • Enable analytics, features, and training datasets using dbt
  • Support both real-time inference and batch decisioning
  • Risk, Governance & Compliance (Critical)
  • Design AI systems aligned with fintech governance requirements:• Model versioning, traceability, and auditability
  • Explainability and decision logging where required
  • Implement guardrails for:• Hallucination control & safe completion
  • Data privacy & PII protection
  • Model misuse and prompt injection
  • Partner with Risk, Compliance, and Legal to enable safe GenAI adoption
  • Support internal reviews, validations, and regulator-ready documentation
  • Monitoring, Quality & Continuous Improvement
  • Define and operate AI observability:• Model & prompt performance
  • Drift, bias, and degradation
  • Latency & cost efficiency
  • Build feedback loops from users, agents, and business teams
  • Continuously improve prompts, models, and product experience
  • Your Skills and Experience
  • Strong Python engineering skills
  • Proven experience delivering AI/ML systems in production
  • Hands-on experience with LLMs & GenAI (RAG, embeddings, evaluation)
  • Experience using AWS Bedrock in real products
  • Solid MLOps experience with MLflow Workflow orchestration with Airflow
  • Experience with dbt and modern analytics/data stacks
  • Strong product mindset: ability to connect AI outputs to business outcomes
  • Expert-Level Expectations
  • Act as a technical authority for AI products and platforms
  • Make architecture and design decisions with long-term scalability in mind

Quyền lợi

  • Build real AI products, not demos, Direct ownership of business-critical systems, Strong executive sponsorship for AI & GenAI, Modern stack: AWS Bedrock, dbt, Airflow, MLflow, High trust, high impact, expert-level autonomy
  • Competitive salary benchmarked against the market and aligned with your capabilities. The final salary package will be negotiated upon successfully passing the interview process.
  • Year-end performance bonus ranging from 2 to 5 months' average salary, depending on individual performance evaluation results.
  • Statutory insurance coverage and additional private health insurance for employees.
  • Diverse employee benefits, including flexible working hours, company trips, birthday leave, and more.
  • Access to employee loan programs with preferential interest rates.
  • Learning, Development, and Career Advancement
  • Structured and in-depth training programs focused on Re-skilling, Up-skilling, and New-skilling, tailored to specific job groups and career paths.
  • Close mentoring and coaching from direct managers, senior leaders, and industry experts.
  • Management development programs for high-potential employees, preparing them for future leadership and managerial roles.
  • Priority is given to promoting internal talent into management positions, providing clear career progression opportunities.
  • Professional Work Environment and Dynamic Corporate Culture
  • Friendly, supportive, and collaborative workplace that values accountability and mutual respect.
  • Innovative and dynamic environment that encourages creativity, continuous learning, and improvement.
  • Respect for diversity, with a strong emphasis on teamwork and effective collaboration.
  • A wide range of cultural, sports, and recreational activities that foster employee engagement and a positive workplace atmosphere.
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