
ML Engineer
2 weeks ago
Role & responsibilities Required Skills & Qualifications:
• Education: Bachelors or Master's degree in Computer Science, Data Science, Machine Learning, or related field.
• Experience: 3 to 5 years of hands-on experience working as a machine learning engineer or in a related role.
• Programming Languages: Proficiency in Python (preferred), R, or Java. Experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.
• Data Manipulation: Strong knowledge ofSQL and experience working with large datasets (e.g., using tools like Pandas, NumPy, Spark).
• Cloud Services: Experience with cloud platforms likeAWS, Google Cloud, or Azure, particularly with ML services such as SageMaker or AI Platform.
• Model Deployment: Hands-on experience with deploying ML models using Docker, Kubernetes, and CI/CD pipelines.
• Problem-Solving Skills: Strong analytical and problem-solving skills with the ability to understand complex data problems and implement effective solutions.
• Mathematics and Statistics: A solid foundation in mathematical concepts related to ML, such as linear algebra, probability, statistics, and optimization techniques.
• Communication Skills: Strong verbal and written communication skills to collaborate effectively with cross-functional teams and stakeholders.
Preferred Qualifications:
• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Exposure to natural language processing (NLP), computer vision, or recommendation systems.
• Familiarity with version control systems (e.g., Git) and collaborative workflows.
• Experience with model interpretability and fairness techniques.
• Familiarity with big data tools (e.g., Hadoop, Spark, Kafka).
Preferred candidate profile
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