
AI/ML Model Development Specialist
2 days ago
Machine Learning Engineer Job Description
Job SummaryWe are seeking a skilled Machine Learning Engineer to join our team. The ideal candidate will have experience in building and deploying machine learning models, as well as a strong understanding of software engineering principles.
Required Skills and Qualifications- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field.
- 3-5 years of hands-on experience in AI/ML engineering and Python, with a focus on building production-ready models.
- Solid understanding of machine learning algorithms, deep learning architectures, natural language processing (NLP), and information retrieval techniques.
- Proven ability to deploy and manage AI/ML solutions on major cloud platforms.
- Experience with MLOps principles and tools for model deployment, monitoring, and lifecycle management.
- Knowledge of MLOps frameworks like Kubeflow, MLFlow, DataRobot, Airflow, containerization with Docker and Kubernetes, and OpenShift.
- 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 hyperparameter 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.
Benefits
This role offers the opportunity to work on cutting-edge machine learning projects, collaborate with experienced engineers, and contribute to the development of innovative AI solutions.
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