
Senior Data Science Professional
13 hours ago
About this Position:
We are seeking an experienced AI/ML Engineer to design, develop and deploy machine learning models that drive business outcomes.
Key Responsibilities:
- Design, implement and deploy ML models for regression, classification, clustering and deep learning tasks.
- Build and optimize data pipelines, feature engineering and training workflows.
- Deploy models in production using containerization (Docker) and orchestration tools (Kubernetes).
- Maintain model performance, retrain and update production-ready systems.
- Develop APIs and integrate ML solutions with enterprise applications.
- Stay up-to-date on AI/ML trends and contribute innovative solutions.
- Collaborate with cross-functional teams to align with business goals.
Qualifications:
- 3+ years of experience in AI/ML engineering or related field.
- Strong proficiency in Python; knowledge of Java, Scala or R is a plus.
- Expertise in ML libraries/frameworks: scikit-learn, TensorFlow, PyTorch or Keras.
- Hands-on experience with data tools: Pandas, NumPy, Spark.
- Familiarity with cloud-based ML deployment platforms (SageMaker, Azure ML, GCP AI) and model serving frameworks (TensorFlow Serving, TorchServe).
- Understanding of databases (SQL, MongoDB, Cassandra) and version control (Git).
- Excellent problem-solving, communication and collaboration skills.
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