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Data Science Innovator: Machine Learning and Analytics Expert
2 weeks ago
Tiger Analytics is seeking a skilled Data Science Innovator to join our team. As a Machine Learning Engineer, you will work on cutting-edge projects across multiple industries, utilizing AI and advanced analytics to solve real-world problems.
Key Responsibilities:
• Engage with clients to understand their business challenges and translate them into actionable data-driven solutions.
• Collaborate with a talented team of data scientists and engineers to embed AI and analytics into business processes.
• Tackle diverse, high-impact machine learning problems, optimizing models and creating sustainable solutions.
Requirements:
• 3+ years of experience in machine learning (MLOPS), with a minimum of 1+ years in Data Science.
• Proficient in Python, Pyspark, and Machine Learning, including productionizing models.
• Strong experience with AWS OR Azure cloud technologies is a must.
• Familiar with Sagemaker, Data Bricks, and MLOps frameworks (e.g., MLflow, Kubeflow).
• Passionate about following best practices in software engineering to build reliable, robust solutions.
• Strong understanding of DS concepts, model lifecycle, and experience with model deployment/monitoring (preferably in banking).
• Bonus: Experience with CI/CD pipeline creation.