
Senior Data Scientist
10 hours ago
About the Opportunity:
We're seeking a skilled AI Developer to design, build, and deploy machine learning models that drive business success.
Key Responsibilities:
- Design, develop, and deploy ML models (regression, classification, clustering, deep learning) with scalability in mind.
- Create and optimize data pipelines, feature engineering, and training workflows using efficient techniques.
- Deploy models to production using containerization tools like Docker and orchestration platforms such as Kubernetes.
- Monitor model performance, retrain, and maintain production-ready systems ensuring high uptime.
- Develop APIs and integrate ML solutions with enterprise applications to drive seamless interactions.
- Stay updated on ML/AI trends, contribute innovative solutions, and lead cross-functional teams.
Requirements:
- A minimum of 3+ years of experience in AI development or a related field.
- Strong proficiency in Python; knowledge of Java/Scala/R is beneficial.
- Expertise with ML libraries/frameworks: scikit-learn, TensorFlow, PyTorch, Keras for building robust models.
- Hands-on experience with data tools: Pandas, NumPy, Spark for efficient data processing.
- Familiarity with ML deployment platforms: SageMaker, Azure ML, GCP AI, TensorFlow Serving, TorchServe.
- Understanding of DevOps/MLOps practices to ensure smooth deployment.
- Excellent problem-solving, communication, and collaboration skills to work effectively with cross-functional teams.
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