Data Science Architect

Skills

Job Specifications

Qualifications

• 6–10 years of experience in applied data science, machine learning, or analytics leadership.

• Strong understanding of model lifecycle management, experimentation frameworks, and data science governance.

• Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML).

• Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

• Proven ability to assess or design organizational processes for data science delivery and model management.

• Excellent analytical and communication skills, with the ability to synthesize technical observations into actionable business recommendations.

About the Company

Response Informatics is a globally established end-to-end technology and enterprise-level management consulting company. We have our corporate offices in New Jersey, USA, and Hyderabad, India. Incorporated in 1996, we have been sailing the ship with a single goal, the global adaption of the best technological and result driven practices for business growth. With a humble start with management consulting and global staffing solutions, we have moved up the ladder sharply and significantly. Soon enough, we were delivering in... Know more

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