
Data Scientist
4 days ago
We are seeking a skilled Machine Learning Engineer to build innovative solutions for our organization.
The successful candidate will have a strong background in machine learning and experience with cloud-based platforms.
Key Responsibilities:
- Design, develop, and deploy end-to-end machine learning pipelines on cloud-based platforms.
- Collaborate with data scientists to translate models and algorithms into production-ready code.
- Manage the entire machine learning lifecycle, including data ingestion, model training, validation, and deployment.
- Implement best practices to automate workflows and ensure model performance and reliability.
- Optimize ML models for performance, scalability, and efficiency on cloud-based platforms.
- Monitor and troubleshoot deployed models to ensure they meet performance and business requirements.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 3+ years of experience in a machine learning or data science role.
- Hands-on experience with cloud services, specifically cloud-based machine learning platforms.
- Proficiency in programming languages such as Python and standard ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with containerization technologies like Docker.
- Solid understanding of machine learning principles and tools for continuous integration and delivery.
- Knowledge of data engineering principles and experience with big data technologies (e.g., Spark, Hadoop).
Preferred Qualifications:
- Experience with other cloud services such as object storage, serverless computing, and data warehousing.
- Certifications such as cloud-based machine learning specialty.
- Experience with model serving frameworks (e.g., Flask, FastAPI).
- Experience with version control systems like Git.
- Familiarity with agile development methodologies.
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