
Advanced AI and Machine Learning Engineer
4 days ago
About the Role:
We are seeking an experienced AI Model Builder to design, build, and deploy ML models that drive business-critical solutions. As a key member of our team, you will be responsible for creating and implementing machine learning algorithms that meet our high standards for accuracy and efficiency.
Key Responsibilities:
- Design, develop, and deploy ML models for regression, classification, clustering, and deep learning tasks.
- Build and optimize data pipelines, feature engineering, and training workflows using Python.
- Deploy models to production using containerization tools like Docker, orchestration tools like Kubernetes, and cloud platforms AWS, GCP, and Azure.
- Monitor model performance, retrain, and maintain production-ready systems with robust APIs.
- Develop APIs and integrate ML solutions with enterprise applications.
- Stay updated on ML/AI trends and contribute innovative solutions to improve business outcomes.
- Collaborate with cross-functional teams including data scientists, engineers, and product managers to align with business goals.
Requirements and Qualifications:
- At least 3 years of experience in ML engineering or a related field.
- Strong proficiency in Python; knowledge of Java, Scala, or R is a plus.
- Expertise with popular ML libraries and frameworks including scikit-learn, TensorFlow, PyTorch, and Keras.
- Hands-on experience with data tools such as Pandas, NumPy, and Spark.
- Experience with ML deployment on cloud platforms SageMaker, Azure ML, GCP AI, TensorFlow Serving, and TorchServe.
- Familiarity with databases SQL, MongoDB, and Cassandra, as well as version control using Git.
- Understanding of DevOps/MLOps practices and principles.
- Excellent problem-solving, communication, and collaboration skills.
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