Data Science
Python
Machine Learning (ML)
Deep LearningAbout Us: Website: https://www.tundratechnical.ca/ & https://tundramanagedsolutions.com/
Experience: 5-8 years
Shift: EST
Location: Bangalore
Mode: Hybrid
Position Requirements
Core (Must-Have) Skills
• Proficiency in Python with advanced use of NumPy, Pandas, and Scikit-learn
• Expertise in SQL, including complex queries and performance optimization
• Strong foundation in machine learning techniques (regression, classification, clustering, ensemble methods)
• Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI
• MLOps practices (MLFlow, Kubeflow, CI/CD pipelines for ML workflows)
• Experience in data visualization (Seaborn, Plotly, Tableau, or Power BI)
• Applied knowledge of statistics and probability for model development
• Hands-on experience with cloud-based ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI)
• Exposure to large-scale data processing (Spark, Hadoop)
Preferred Skills
• Deep learning frameworks (TensorFlow, PyTorch)
• Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI
• MLOps practices (MLFlow, Kubeflow, CI/CD pipelines for ML workflows)
• Data pipeline orchestration (Airflow, Prefect)
• Business domain knowledge (e.g., retail, finance)
Key Activities
• Preparing and preprocessing structured and unstructured data for analysis
• Designing, training, and validating machine learning models
• Deploying and operationalizing models in collaboration with engineering teams
• Building dashboards and data-driven visual insights for stakeholders
• Partnering with product and engineering teams to align models with business needs
• Monitoring, optimizing, and retraining models for performance improvements
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