
Senior Data Scientist
3 days ago
We are seeking an experienced Machine Learning Engineer to design, build, and deploy machine learning models that drive business-critical solutions.
The ideal candidate will collaborate with cross-functional teams to deliver scalable machine learning systems, driving innovation and measurable business outcomes. Key Responsibilities:
- Develop and deploy machine learning models (regression, classification, clustering, deep learning) using expert knowledge of machine learning libraries/frameworks: scikit-learn, TensorFlow, PyTorch, Keras.
- Build and optimize data pipelines, feature engineering, and training workflows utilizing Pandas, NumPy, Spark.
- Deploy models to production using Docker, Kubernetes, and cloud platforms ensuring seamless integration with enterprise applications.
- Monitor model performance, retrain, and maintain production-ready systems.
- Collaborate with data scientists, engineers, and product managers to align with business goals and objectives.
Qualifications:
- 3+ years of experience in machine learning engineering or a related field demonstrating expertise in machine learning/AI trends.
- Strong proficiency in Python; knowledge of Java/Scala/R is beneficial.
- Excellent problem-solving, communication, and collaboration skills with the ability to stay updated on industry developments.
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