AI Machine Learning Engineer
5 days ago
Job Summary
Ambitious and innovative machine learning professionals are sought to drive innovation and excellence in a dynamic environment.
Key Responsibilities:
- Prepare, clean, and process large datasets; build and maintain data pipelines.
- Develop and implement machine learning models for various applications (classification, regression, clustering, recommendations, etc.).
- Engineer features and optimize model performance through hyper parameter tuning and validation.
- Automate model building, training and deployment by building CI/CD/CT Pipelines
- Stay updated on new tools and techniques in machine learning and AI.
Requirements:
- Bachelor's or Master's in Computer Science, Engineering, Mathematics, Statistics, or related field.
- 3-5 years of hands-on experience in AI/ML engineering and Python, with a demonstrable focus on building production ready models.
- Solid understanding of machine learning algorithms, deep learning architectures, natural language processing (NLP), and information retrieval techniques (e.g., RAG)
- Proven ability to deploy and manage AI/ML solutions on at least one major cloud platform.
- Experience with MLOps principles and tools for model deployment, monitoring, and lifecycle management.
- Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Containerization Docker and Kubernetes, OpenShift
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