Machine Learning Engineer

Overview

Key responsibilities

• Design and develop machine learning models and algorithms.
• Collect preprocess and analyze large datasets.
• Implement and optimize machine learning models for deployment.
• Collaborate with crossfunctional teams to understand business needs and translate them into technical requirements.
• Research and stay updated on the latest trends and advancements in machine learning and data analysis.
• Contribute to the development of scalable and efficient machine learning pipelines.
• Evaluate and finetune machine learning models.
• Collaborate with software developers to integrate machine learning models into production systems.
• Conduct performance analysis and optimization of machine learning algorithms.
• Communicate findings and insights to stakeholders in a clear and understandable manner.
• Participate in code reviews and provide constructive feedback.
• Ensure compliance with data privacy and security regulations.
• Contribute to the development and maintenance of data infrastructure and tools.
• Provide mentorship and guidance to junior team members.

Required qualifications

• Bachelor s or Master s degree in Computer Science Engineering Mathematics Statistics or related field.
• Demonstrated experience in developing and implementing machine learning algorithms and models.
• Proficiency in programming languages such as Python R or Java.
• Strong understanding of data structures algorithms and computational complexity.
• Experience with machine learning libraries and frameworks such as TensorFlow Keras or PyTorch.
• Familiarity with data visualization and analysis tools like Tableau Matplotlib or Power BI.
• Knowledge of statistical analysis and hypothesis testing.
• Solid understanding of database systems and SQL.
• Experience with cloud platforms such as AWS Azure or GCP.
• Excellent problemsolving and analytical skills.
• Ability to communicate complex concepts effectively to technical and nontechnical stakeholders.
• Strong attention to detail and ability to deliver highquality work within deadlines.
• Experience in developing and deploying machine learning solutions in a production environment.
• Continuous learning mindset and passion for exploring new technologies and methodologies.

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