Design and implement unsupervised ML models to extract insights from structured and unstructured data, and develop generative AI solutions for data augmentation, summarization, and visual storytelling.
Requirements
- ML
- GCP
- BigQuery
- Vertex AI
- Dataflow
- Cloud Functions
- Strong experience with unsupervised machine learning techniques and algorithms
- Hands-on experience with GCP services including BigQuery, Vertex AI, Cloud Storage, and Dataflow
- Proficiency in Python (including libraries like scikit-learn, TensorFlow, PyTorch) and SQL
- Experience with data visualization tools (e.g., Looker Studio, Plotly, Tableau) and GenAI platforms
- Solid understanding of statistics, feature engineering, and data preprocessing
- Familiarity with MLOps practices and model deployment in cloud environments
- Knowledge of self-supervised learning or graph-based ML approaches
- Experience using GenAI frameworks and platforms such as: Vertex AI GenAI Studio for prompt engineering and model tuning, OpenAI API for text generation, summarization, and embeddings, Hugging Face Transformers for custom model deployment and fine-tuning, LangChain, LlamaIndex, or similar frameworks for GenAI-powered applications, RunwayML, Stability AI, or DALL·E for generative visualizations
- GCP certification (e.g., Professional Machine Learning Engineer or Data Engineer)
Responsibilities
- Design and implement unsupervised ML models to extract insights from structured and unstructured data
- Develop generative AI solutions for data augmentation, summarization, and visual storytelling
- Create interactive and compelling visualizations using traditional and GenAI tools
- Collaborate with full-stack development and platform engineering teams to integrate ML models into production systems
- Build scalable ML pipelines using GCP-native services such as BigQuery, Vertex AI, Dataflow, and Cloud Functions
- Experience collaborating with full-stack teams to integrate ML solutions via APIs or microservices
- Experience using GenAI frameworks and platforms such as: Vertex AI GenAI Studio for prompt engineering and model tuning, OpenAI API for text generation, summarization, and embeddings, Hugging Face Transformers for custom model deployment and fine-tuning, LangChain, LlamaIndex, or similar frameworks for GenAI-powered applications, RunwayML, Stability AI, or DALL·E for generative visualizations
Other
- Ability to communicate complex findings through visual storytelling and presentations
- Prior experience in a consulting or contractor role
