Machine Learning Engineer

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)