Senior Data Scientist

Job Title: Senior Data Scientist-GCP Location: Raritan, NJ Employment Type: Contract Job Description Summary: We are seeking a seasoned Senior Data Scientist with overall 10-12 yrs and at least 5-7 years of hands-on experience in developing GenAI/machine learning models and deploying them in a cloud environment, preferably on Google Cloud Platform (GCP). The ideal candidate will design microservice-based solutions, containerize deployments (e.g., GKE), and drive end-to-end SDLC practices. Experience in the pharma domain is a strong advantage. Key Responsibilities’ Lead end-to-end development of GenAI/ML models: problem framing, data preparation, model selection, training, evaluation, and iteration. Architect and implement microservice-based AI solutions and deploy them in containerized environments (preferably GKE); define APIs and data contracts. Incorporate and operationalize defined ML pipelines with MLOps practices: model versioning, feature stores, experiment tracking, CI/CD for ML, monitoring, and rollback strategies. Leverage GCP offerings (Vertex AI, BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Run, GKE, etc.) to design scalable AI solutions and efficient data workflows. Knowledge of Retrieval-Augmented Generation (RAG) concepts and processes Proficiency with Google Cloud Platform (GCP) and its AI/ML offerings (e.g., Vertex AI, BigQuery, Dataflow, Cloud Storage, GKE). Deploy, monitor, and maintain models in production; implement observability (logs, metrics, tracing), cost optimization, and performance tuning. Collaborate with cross-functional teams (data engineers, software engineers, product, regulatory/compliance, analytics) to translate business needs into robust ML solutions. Uphold SDLC standards: requirements gathering, design, development, testing, deployment, maintenance, and documentation; promote reusable patterns and best practices. Mentor and guide junior scientists; contribute to code reviews, standards, and knowledge sharing. Stay current with GenAI advancements and evaluate new tools/approaches; produce reproducible experiments and artifacts. Required Qualifications Overall 10-12yrs and Minimum 5-7 years of hands-on experience developing GenAI/ML models and deploying them in a cloud environment. Proficiency with Google Cloud Platform (GCP) and its AI/ML offerings (e.g., Vertex AI, BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Run, GKE). “Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.”