Genesys is seeking a Senior Data Scientist to design, develop, and deliver enterprise-grade AI solutions that address high-impact business challenges, aiming to improve customer and employee loyalty and business outcomes through personalized experiences at scale.
Requirements
- Proficiency in Python and ML/AI frameworks (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face).
- Demonstrated experience in building and deploying custom ML models at scale.
- Familiarity with LLM customization techniques (fine-tuning, prompt engineering, embeddings-based retrieval, adapters).
- Strong background in data wrangling and pipelines (SQL, Spark, Pandas) with large, diverse datasets.
- Solid knowledge of model evaluation methods and ability to communicate results to technical and non-technical audiences.
- Experience with enterprise-grade deployments (MLOps pipelines, monitoring, compliance frameworks).
- Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG).
Responsibilities
- Design, build, and validate machine learning models (classification, regression, forecasting, anomaly detection) for enterprise use cases.
- Customize and fine-tune large language models for domain-specific applications, including summarization, classification, conversational AI, and knowledge extraction.
- Develop predictive and prescriptive models that integrate seamlessly into enterprise decision-making workflows.
- Conduct feature engineering, data enrichment, and exploratory analysis on structured and unstructured datasets.
- Partner with AI/ML engineers to productionize models within the AI services platform.
- Ensure models meet requirements for performance, reliability, scalability, explainability, and compliance.
- Collaborate with platform engineers on model deployment, monitoring, and lifecycle management standards.
Other
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or related field.
- 4+ years of experience in applied data science or machine learning roles within enterprise settings.
- Work with business stakeholders to identify AI opportunities, define success criteria, and translate requirements into technical solutions.
- Contribute to best practices in responsible AI, including bias mitigation, transparency, and ethical usage.
- Genesys is an equal opportunity employer committed to fairness in the workplace.
