Required Skills: ML , GCP , BigQuery, Vertex AI, Dataflow,Cloud Functions

Job Description

• 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
• Strong experience with unsupervised machine learning techniques and algorithms
• Hands-on experience with GCP services including BigQuery, Vertex AI, Cloud Storage, and Dataflow
• Experience collaborating with full-stack teams to integrate ML solutions via APIs or microservices
• 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
• Ability to communicate complex findings through visual storytelling and presentations
• 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:
o Vertex AI GenAI Studio for prompt engineering and model tuning
o OpenAI API for text generation, summarization, and embeddings
o Hugging Face Transformers for custom model deployment and fine-tuning
o LangChain, LlamaIndex, or similar frameworks for GenAI-powered applications
o RunwayML, Stability AI, or DALL·E for generative visualizations
• Prior experience in a consulting or contractor role
• GCP certification (e.g., Professional Machine Learning Engineer or Data Engineer)