Data Scientist

We are seeking a seasoned Senior Data Scientist with 6 yrs of hands-on experience in developing GenAI/machine learning models and deploying them in a cloud environment.

Requirements

• Overall 8 yrs and Minimum 5 years of hands-on experience developing GenAI/ML models and deploying them in a cloud environment.
• Proficiency with Google Cloud Platform and its AI/ML offerings e.g.- Vertex AI, BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Run, GKE
• Must have experience working with any agentive framework
• Knowledge of Retrieval-Augmented Generation (RAG) concepts and processes
• Strong software engineering skills: Python (primary), experience with ML frameworks (TensorFlow, PyTorch, scikit-learn), and API development (REST/GraphQL).
• Experience designing and deploying microservices architectures and containerized solutions (Docker, Kubernetes; preference for GKE).
• Solid experience in MLOps: model versioning, experiments, automated training, feature stores, model registries, monitoring, and governance.
• Data processing and analytics expertise: SQL, data pipelines, ETL/ELT concepts, data quality, and data visualization support.
• Excellent problem-solving, communication, and collaboration skills; ability to work with cross-disciplinary teams.
• Understanding of cloud security concepts, IAM, and basic principles of data privacy and compliance.
• Demonstrated ability to translate business problems into scalable ML solutions and to communicate technical concepts to non-technical stakeholders.

Benefits

• Notice Period – Immediate Joiner – 30 Days Maximum

Tagged as: BigQuery, Data Visualization, Python, SQL