AI ML Engineer
4 weeks ago
REQUIREMENTS
- Bachelor's degree in Computer Science, Data Science, or a related field; advanced degree is a plus
- Proven experience in AI and ML, demonstrating a track record of successfully applying predictive analytics techniques to real-world problems
- Familiarity with Azure AI is advantageous but not mandatory Experience with Azure Machine Learning Operations (MLOps) is a plus
- Proficient in Python, and experience with popular ML frameworks like TensorFlow or PyTorch is desirable
- Solid experience in working with AI and ML, with a focus on predictive analytics and utilizing various machine learning or artificial intelligence models
- Familiarity with MLOps, and experience in incorporating it into the AI/ML workflow is a plus
- Knowledge of Azure AI is advantageous, especially experience with Azure Machine Learning Operations (MLOps)
- Proficiency in Python is essential, and experience with popular frameworks such as TensorFlow or PyTorch is a strong plus
- Passion for leveraging AI and ML to unlock insights from data
- Strong analytical and problem-solving skills
- Excellent communication and collaboration abilities
- Ability to adapt to evolving technologies and industry best practices
- Utilize AI and ML models to analyze and interpret complex datasets, enabling the company to make data-driven decisions and enhance predictive analytics
- Work collaboratively with cross-functional teams to implement AI and ML solutions that improve data understanding and decision-making processes
- Employ predictive analytics techniques to enhance the company's ability to forecast and respond to evolving trends
- Explore and implement state-of-the-art machine learning algorithms to extract meaningful insights from diverse datasets
- Collaborate with data scientists, engineers, and other stakeholders to design, develop, and deploy machine learning models
- Perform other tasks as assigned
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