
AI Model Developer
7 days ago
As a skilled machine learning professional, you will be responsible for crafting innovative solutions to meet business objectives. We seek someone with a robust background in machine learning who can design, develop, and deploy effective ML models in a production environment.
Key Responsibilities:
- Develop end-to-end machine learning pipelines on cloud-based platforms.
- Collaborate with data scientists to translate complex algorithms into production-ready code.
- Manage the entire machine learning lifecycle, including data ingestion, model training, validation, and deployment.
- Implement MLOps best practices to automate workflows and ensure model performance and reliability.
- Optimize ML models for scalability, cost efficiency, and performance on cloud platforms.
- Monitor and troubleshoot deployed models to ensure they meet business requirements.
Required Skills and Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Minimum 3 years of experience in a machine learning or data science role.
- Hands-on experience with cloud services, specifically SageMaker.
- Proficiency in Python and standard ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with containerization technologies like Docker.
- Solid understanding of MLOps principles and tools for CI/CD.
- Knowledge of data engineering principles and experience with big data technologies (e.g., Spark, Hadoop).
- Strong problem-solving skills and ability to work collaboratively.
What We Offer:
- Competitive salary and benefits package.
- Opportunities for career growth and professional development.
- Collaborative and dynamic work environment.
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