Senior Machine Learning Specialist
4 days ago
Key Role:
Deliver impactful machine learning projects by designing, building, and deploying scalable models that drive business outcomes. Collaborate with cross-functional teams to innovate and deliver high-quality solutions.
Responsibilities:
- Design and develop machine learning models for regression, classification, clustering, and deep learning tasks.
- Develop data pipelines, feature engineering, and training workflows to optimize model performance.
- Deploy models to production using cloud platforms, Docker, and Kubernetes.
- Monitor model performance, retrain, and maintain production-ready systems.
- Collaborate with data scientists, engineers, and product managers to align with business goals.
Qualifications:
- Proven experience in machine learning engineering or a related field.
- Strong proficiency in Python; knowledge of Java/Scala/R is beneficial.
- Expertise in machine learning libraries and frameworks: scikit-learn, TensorFlow, PyTorch, Keras.
- Hands-on experience with data tools: Pandas, NumPy, Spark.
- Experience with ML deployment and DevOps/MLOps practices.
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