Cloud Counselage Sr. AI Algorithm Developer

hace 6 días

Madrid, Madrid, España Cloud Counselage A tiempo completo

Job Summary

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This is a unique opportunity for a Sr. AI Algorithm Developer to join our dynamic team at Cloud Counselage. We are seeking a highly skilled professional to assist in developing, implementing, and maintaining machine learning models and algorithms to solve complex business problems.

About Us

We are a cutting-edge technology company that uses innovative approaches to tackle real-world challenges. Our team consists of experienced engineers and data scientists who collaborate closely to design, experiment, and deploy machine learning solutions.

Responsibilities

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  • Collaborate with senior engineers and data scientists to understand project requirements and design machine learning solutions.
  • Develop, test, and deploy machine learning models and algorithms.
  • Pre-process data, perform feature engineering, and explore data to identify patterns and insights.
  • Evaluate model performance, troubleshoot issues, and optimize algorithms for scalability and efficiency.
  • Stay updated with the latest machine learning techniques, tools, and technologies.
  • Document code, processes, and results thoroughly for reproducibility and knowledge sharing.
  • Assist in integrating machine learning models into production systems and workflows.
  • Participate in code reviews, team meetings, and brainstorming sessions to contribute ideas and improvements.

Requirements

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  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field.
  • 1-2 years of experience in machine learning or data science.
  • Solid understanding of machine learning fundamentals and algorithms such as regression, classification, clustering, and neural networks.
  • Proficiency in programming languages such as Python, R, or Java, with experience in libraries like TensorFlow, PyTorch, scikit-learn, or Keras.
  • Experience with data manipulation, visualization, and analysis using tools like pandas, NumPy, or matplotlib.
  • Familiarity with version control systems like Git and collaborative development workflows.

Preferred Qualifications

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  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Knowledge of big data technologies like Hadoop, Spark, or Kafka.
  • Understanding of software engineering principles and practices.
  • Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.
  • Experience with deep learning frameworks and architectures.
  • Contributions to open-source projects or participation in machine learning competitions.

Salary and Benefits

The estimated salary for this position is $120,000 - $180,000 per year, depending on location and experience. Additionally, we offer a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and paid time off.

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