ML/AI/Data Scientist/MLops/Cloud

Company Overview

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Job Summary

The ML/AI/Data Scientist/MLops/Cloud role focuses on utilizing machine learning, artificial intelligence, and cloud technologies to analyze and process data, build predictive models, and deploy data-driven solutions that enhance business decision-making and efficiency.

Responsibilities

• Design, develop, and implement machine learning models to solve complex business problems.
• Collaborate with cross-functional teams to gather requirements and understand data needs for various projects.
• Evaluate and preprocess data from diverse sources for analysis and model training.
• Deploy machine learning models in cloud environments and ensure their performance through monitoring and optimization.
• Communicate insights and findings to stakeholders through visualization and reporting.

Qualifications

• Strong background in machine learning, statistics, and data analysis.
• Proficiency in programming languages such as Python or R.
• Experience with cloud platforms like AWS, Google Cloud, or Azure.
• Knowledge of MLops principles and tools for managing the lifecycle of machine learning models.
• Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
• Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or a related field.

Preferred Skills

• Experience with containerization technologies like Docker or Kubernetes.
• Familiarity with version control systems (e.g., Git).
• Strong analytical and problem-solving skills.
• Excellent communication skills to convey technical concepts to non-technical stakeholders.

Experience

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Environment

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Salary

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Growth Opportunities

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Benefits

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