Data Scientist

7 days ago

Lahore, Punjab, Pakistan H2O Labs Full time 900,000 - 1,200,000 per year

About the Role

We are looking for a highly skilled Data Scientist (AI/ML + Azure) to join our dynamic team. The ideal candidate will have a strong background in machine learning, data analytics, and cloud-based AI solutions—particularly using Microsoft Azure. You will design, build, and deploy end-to-end AI/ML models and data pipelines that drive business impact and innovation.

Key Responsibilities

  • Design, develop, and deploy AI/ML models and predictive analytics solutions using Azure Machine Learning and related services.
  • Build, optimize, and maintain data pipelines and ETL processes for large-scale datasets.
  • Collaborate with business stakeholders to translate requirements into data-driven solutions.
  • Conduct data wrangling, feature engineering, and model evaluation to ensure model robustness and accuracy.
  • Deploy and monitor models in production using MLOps best practices.
  • Utilize Azure Data Lake, Databricks, and Synapse Analytics for scalable data management and analysis.
  • Present insights and recommendations through data visualization and storytelling tools (e.g., Power BI, Tableau).
  • Continuously research and experiment with emerging AI technologies to enhance business processes.

Required Skills & Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
  • 5+ years of experience in Data Science or Machine Learning Engineering.
  • Hands-on experience with Azure AI/ML tools, including Azure Machine Learning, Databricks, Synapse, and Cognitive Services.
  • Strong programming skills in Python (NumPy, pandas, scikit-learn, PyTorch, TensorFlow).
  • Experience with SQL, data modeling, and data warehouse architectures.
  • Familiarity with MLOps, CI/CD, and version control (Git).
  • Solid understanding of statistics, probability, and experimental design.
  • Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications

  • Azure certifications such as Azure Data Scientist Associate (DP-100) or Azure AI Engineer Associate (AI-102).
  • Experience with LLMs (Large Language Models), Generative AI, or NLP-based solutions.
  • Exposure to Power BI, Tableau, or other visualization tools.

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