Job Summary :
We are looking for a versatile and experienced Machine Learning Engineer (Contractor) to support our data engineering and analytics initiatives on Google Cloud Platform (GCP) . The ideal candidate will bring expertise in unsupervised machine learning , experimentation , generative AI , and data visualization , and will help build scalable solutions that uncover insights and drive business decisions.
While experience with unsupervised learning (e.g., clustering, anomaly detection, dimensionality reduction) is highly preferred, we welcome candidates with a broader ML background who are passionate about solving complex data problems and visualizing results effectively.
Key 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
- Ensure model performance, reliability, and maintainability through iterative experimentation and optimization
- Document methodologies and present findings to both technical and non-technical stakeholders
Required Qualifications :
Strong experience with unsupervised machine learning techniques and algorithmsHands-on experience with GCP services including BigQuery, Vertex AI, Cloud Storage, and DataflowExperience collaborating with full-stack teams to integrate ML solutions via APIs or microservicesProficiency in Python (including libraries like scikit-learn, TensorFlow, PyTorch) and SQLExperience with data visualization tools (e.g., Looker Studio, Plotly, Tableau) and GenAI platformsSolid understanding of statistics, feature engineering, and data preprocessingAbility to communicate complex findings through visual storytelling and presentationsFamiliarity with MLOps practices and model deployment in cloud environmentsPreferred Qualifications :
Knowledge of self-supervised learning or graph-based ML approachesExperience using GenAI frameworks and platforms such as :Vertex AI GenAI Studio for prompt engineering and model tuning
OpenAI API for text generation, summarization, and embeddingsHugging Face Transformers for custom model deployment and fine-tuningLangChain , LlamaIndex , or similar frameworks for GenAI-powered applicationsRunwayML , Stability AI , or DALL E for generative visualizationsPrior experience in a consulting or contractor roleGCP certification (e.g., Professional Machine Learning Engineer or Data Engineer)