Data Science Manager

Responsibilities

·        Architect and deploy scalable ML/AI solutions including MLOps pipelines for CI/CD model monitoring and governance.

·        Lead the design and development of Data/ NLP solutions for applications such as text summarization conversational AI and entity recognition.

·        Build and optimize data pipelines using PySpark and SQL for large-scale data processing.scalable ML development and deployment

·        Collaborate with stakeholders to align Data initiatives with business goals and mentor junior team members.

Skills

·        10-12 years of exp in DataML 

·        Programming: Python (Pandas NumPy PyTorch TensorFlow) SQL.

·        MLOps: Experience with tools like MLflow 

·        Kubeflow Docker Kubernetes and CI/CD pipelines.

·        Data Engineering: Proficient in PySpark and distributed data processing.

·        Cloud Platforms: Proven experience with one major cloud platform (AWS Azure or GCP) is an added advantage