
Intelligent Systems Developer
2 weeks ago
Job Overview:
We're seeking a highly skilled Machine Learning Engineer to join our team. As a key member of our tech organization, you'll be responsible for designing and deploying scalable machine learning models that drive real-world impact.
The ideal candidate will have a strong background in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn), with experience deploying models at scale on cloud platforms (AWS/GCP/Azure). A solid understanding of MLOps tools (Docker, Kubernetes, CI/CD for ML pipelines) is also essential.
Key Responsibilities:- Design and train machine learning models to address complex business problems.
- Collaborate with data scientists, engineers, and domain experts to translate requirements into production-ready solutions.
- Optimize model performance and ensure reliability in production environments.
- Implement data pipelines for preprocessing, feature engineering, and model monitoring.
- Work closely with backend teams to integrate ML models into applications and APIs.
- 2–5 years of experience as an ML Engineer or in a similar role.
- Strong proficiency in Python and ML frameworks.
- Experience deploying models at scale on cloud platforms.
- Solid understanding of MLOps tools and software engineering best practices.
- Knowledge of data structures and algorithms.
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