Lead Data Scientist

Role: Lead AI/ML with GCP Location: Remote Duration: Long term Project Responsibilities · Develop AI/ML strategies, defining architecture and best practices for developing and deploying AI systems on Google Cloud. · Lead the design of scalable production-grade AI solutions, including Generative AI, multi-agent orchestration, and computer vision models on Vertex AI. · Use Google Cloud's AI suite, including Vertex AI, Gemini models, BigQuery ML, Dataflow, and TPU/GPU hardware for training and inference. · Guide team members on Python, TensorFlow/PyTorch, API integrations, and CI/CD pipelines. · Ensure scalability, security, and performance of AI/ML models in production, adhering to MLOps best practices. · Partner with business units and external clients to translate requirements into technical solutions. Required Qualifications · Bachelor’s or Master's degree in Computer Science, AI, or a related technical field. · 6+ years of experience with cloud platforms, with strong emphasis on Google Cloud Platform and its AI/ML services. · Deep understanding of AI frameworks (TensorFlow, PyTorch, Scikit-learn), neural network architectures, and agentic workflows. · Expert-level Python programming, including experience with Data Science libraries. · Proven experience leading technical teams, setting team priorities, and driving complex projects from development into production. · Familiarity with Docker, Kubernetes (GKE), and CI/CD tools. Preferred Qualifications: · Professional Machine Learning Engineer Certification (Google Cloud). · Experience building and deploying large-scale infrastructure and distributed systems. · Experience in AI application in sectors such as Financial Services, Healthcare, or High-Tech (Semiconductors).