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Data Scientist Lead LLM, Generative AI, ML

NashTech · Đà Nẵng
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Loại hình
Toàn thời gian
Hình thức
Tại văn phòng
Cấp bậc
Nhân viên
Ngành nghề
CNTT - Phần mềm
Mức lương
Thương lượng
Địa điểm
Quận Hải Châu, Đà Nẵng, Đà Nẵng

Tổng quan

  • Lead and oversee the Data Science team across research, development, evaluation, fine-tuning, and deployment of ML and generative AI models, including statistical analysis, feature engineering, and hands-on contribution when needed
  • Guide the design, implementation, and optimization of robust data pipelines and ML system architectures in collaboration with Data Engineering, ensuring scalability for both real-time and batch use cases
  • Provide direction for creating analytical reports, dashboards, and model-driven visual insights to effectively communicate findings to business stakeholders
  • Establish and enforce MLOps and technical quality standards - including model versioning, reproducibility, observability, governance, ensuring the team consistently follows these standards and providing guidance to help them apply the practices effectively
  • Perform solution reviews, code reviews, and model validation to ensure consistent delivery quality
  • Lead technical discussions with the team and clients, provide effort estimations, deliver technical training
  • Support the PM with source-control and technical governance strategies
  • Your Skills and Experience
  • Technical Skills
  • 5+ years of hands‑on experience in Data Science, ML, or Applied AI
  • Proficiency in Python (e.g., Pandas, NumPy, FastAPI)
  • Strong experience with SQL and working with relational and NoSQL databases
  • Good knowledge of big data technologies (e.g., Spark, Databricks, Delta Lake, Kafka)
  • Experience with at least one Cloud provider (e.g., Azure, AWS, or GCP)
  • Experience using data visualization / BI tools such as Power BI, Tableau, or open-source BI tools
  • Solid knowledge and hands-on experience with key machine learning algorithms such as classification, regression, clustering, time series forecasting, and anomaly detection using tools like Scikit-learn, PyTorch, and TensorFlow
  • Strong foundation in machine learning concepts and deep learning (e.g., CNNs, RNNs, Transformers)
  • Math & Statistical Knowledge
  • Strong foundation in probability, statistics, optimization, and linear algebra
  • Experience in designing experiments (e.g., A/B testing) and interpreting statistical significance
  • Ability to apply math-driven thinking to AI/ML model design
  • Domain Knowledge
  • Experience with one of the following domains such as media, banking, finance, healthcare, retail, manufacturing, or insurance
  • Ability to understand and interpret domain-specific business problems and translate them into data science solutions

Yêu cầu

  • Good communication skills in English, both written and verbal
  • Soft Skills
  • Strong problem-solving and critical thinking abilities
  • Ability to clearly communicate technical findings to non-technical stakeholders
  • Collaborative, agile mindset with a self-starter attitude
  • Comfortable working in fast-paced, cross-functional teams
  • Nice to have
  • Experience with ETL tools (Airflow, DBT, Azure Data Factory, or AWS Glue)
  • Experience with MLOps tools (e.g., MLflow, SageMaker, Azure ML, Vertex AI)
  • Generative AI Skills
  • Awareness or working knowledge of LLMs (e.g., GPT-4, Claude, LLaMA, Mistral)
  • Exposure to GenAI frameworks such as LangChain, LlamaIndex, or Hugging Face Transformers
  • Understanding of prompt engineering, embeddings, and concepts like RAG
  • Familiarity with GenAI use cases such as summarization, document analysis, chatbots, or code generation
  • Ability to integrate GenAI APIs (OpenAI, Azure OpenAI, Hugging Face) into applications
  • Why You'll Love Working Here

Quyền lợi

Chế độ thưởngChăm sóc sức khỏeĐào tạo

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