Advance D&Z data science initiatives by delivering cutting-edge analytical and AI solutions, developing predictive models and LLM-based applications to address business challenges.
Requirements
- Proficiency in Python/R and ML frameworks (scikitlearn, XGBoost, PyTorch, TensorFlow); strong foundation in statistical analysis, hypothesis testing, feature engineering, model optimization, and deployment of predictive models across regression, classification, clustering, and time series.
- Hands-on experience with LLMs (e.g., GPT, Claude, Gemini, open-source) including prompt engineering, fine-tuning, embeddings, and building applications using LangChain, LlamaIndex, and retrieval-augmented generation (RAG) with vector databases.
- Strong SQL skills with expertise in data extraction, cleaning, transformation, and pipeline development for structured and unstructured data; experience deploying ML/AI workloads on cloud platforms (AWS, Azure, GCP).
- Knowledge of model lifecycle management, workflow automation, and reproducibility; experience with Git, version control, and CI/CD practices for ML/AI systems.
- Ability to design and validate experiments, apply quantitative methods, and translate data into scalable, production-ready solutions.
- Skilled at creating dashboards, data visualizations, and technical presentations to convey complex findings to technical and non-technical stakeholders.
- Experienced in gathering requirements, working in crossfunctional teams, and producing clear documentation, user guides, and technical reports.
Responsibilities
- Responsible for building and deploying generative AI applications including LLMbased solutions, AI agents, and RAG chatbots using modern frameworks and vector database
- Responsible for building predictive models using machine learning techniques & algorithms
- Responsible for applying advanced statistical concepts to analyze data sets and optimize AI/ML model outputs
- Writing code for processing and cleansing the data used for AI/ML model training and fine-tuning
- Responsible for optimizing models via feature selection/engineering, and prompt optimization for generative AI application
- Present results clearly using easily understood terms and create demonstrations of AI solutions
Other
- 4+ Years experience required
- Visual acuity (e.g., needed to prepare and analyze data, to transcribe documents, to view a computer, to read, to inspect objects, to operate machinery.
- Capacity to think, concentrate and focus for long periods of time.
- Ability to read complex documents in the English language.
- Capacity to reason and make sound decisions.
