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Senior Machine Learning Engineer
2 weeks ago
We are seeking a highly skilled and forward-thinking machine learning engineer to lead the development and deployment of scalable machine learning systems that drive innovation and deliver measurable impact across the business.
This role involves building robust ML pipelines, optimizing model performance, and collaborating with cross-functional teams to integrate intelligent solutions into production environments.
The ideal candidate combines deep technical expertise with strong engineering discipline and a passion for solving real-world problems.
Key Responsibilities:
- Developing machine learning–driven analytical solutions and identifying opportunities to support business and client needs in a scalable and automated manner.
- Designing and deploying ML models, building end-to-end pipelines, conducting performance analyses, ad hoc reporting, and developing ML-powered data visualizations.
Requirements:
- Proven experience designing, building, and deploying machine learning systems in production.
- Strong proficiency in Python and ML frameworks such as Scikit-learn, TensorFlow, PyTorch.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes).
- Solid understanding of ML algorithms, model evaluation, feature engineering, and data preprocessing.
- Experience with complex neural network architectures and transformer-based models (e.g., BERT, GPT, ViTs) is strongly preferred.
Benefits
This role offers a unique opportunity to work on cutting-edge machine learning projects, collaborate with a talented team of engineers, and contribute to the development of innovative solutions that drive business impact.
