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Full-time
Hybrid
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Job Description
Position: Senior Data Scientist
Location: Karachi
Work Setup: Hybrid / Onsite
Employment Type: Full\-Time
**Role Overview**
**We are looking for a highly skilled Senior Data Scientist to drive the development of advanced AI and machine learning solutions. This role is suited for professionals who have a strong passion for building scalable, cloud\-based systems and leveraging data to deliver measurable business value. The ideal candidate will play a key role in designing intelligent solutions and leading end\-to\-end model deployment.**
**Key Responsibilities**
**· Develop and implement machine learning and AI solutions, including NLP, LLMs, recommendation engines, and generative AI applications.**
**· Lead the full lifecycle of model development, deployment, and monitoring using Databricks (Mosaic AI).**
**· Utilize the Microsoft Azure AI ecosystem (Azure OpenAI, Azure ML, Cognitive Services) to build and deploy solutions.**
**· Design and architect scalable, cloud\-native AI systems to support business needs.**
**· Translate complex business problems into data\-driven solutions and actionable insights.**
**· Build and maintain efficient ML pipelines to ensure performance, scalability, and reliability.**
**· Work closely with cross\-functional teams including engineering, product, and business stakeholders.**
**· Provide mentorship and technical guidance to junior data scientists and team members.**
**· Required Qualifications \& Experience**
**· Minimum 7\+ years of experience in data science and production\-level machine learning.**
**· Strong expertise in Databricks and MLOps practices.**
**· Hands\-on experience with Microsoft Azure platforms (Azure AI, Azure ML, Synapse).**
**· Deep understanding of machine learning, NLP, and large language models (LLMs).**
**· Proficiency in Python and relevant libraries (scikit\-learn, PyTorch/TensorFlow, Hugging Face).**
**· Experience with tools such as MLflow, Git, and Azure DevOps.**
**Preferred Skills**
**Experience in designing and deploying scalable AI systems in production environments.**
**Understanding of responsible AI practices and model governance.**
* **Familiarity with vector databases and LLM monitoring tools.**
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