Machine Learning Engineer
2 months ago
Ask is Machine Learning Engineers. As an ML Engineer, you will be key in designing, developing, and deploying cutting-edge machine learning solutions to address complex business challenges. You will collaborate with cross-functional teams to grasp requirements, develop prototypes, and implement scalable machine learning systems. The ideal candidate is passionate about leveraging machine learning techniques to drive innovation and solve real-world problems.
Responsibilities:
- Create machine learning models and algorithms tailored to address precise business challenges.
- Work alongside data scientists, software engineers, and domain experts to collect requirements and establish project goals.
- Conduct data analysis, data preprocessing, and feature engineering to prepare datasets for model training.
- Utilize machine learning libraries and frameworks such as TensorFlow, PyTorch, and scikit-learn for model development and experimentation.
- Evaluate model performance, conduct A/B testing, and iteratively improve model accuracy and efficiency.
- Implement machine learning models in production environments and oversee their performance using relevant metrics.
- Document machine learning processes, methodologies, and results to facilitate knowledge sharing and collaboration.
- Stay current with the most recent developments in machine learning research, methodologies, and technologies, integrating them seamlessly into our workflow.
Requirements:
- A degree in Computer Science, Engineering, Mathematics, Statistics, or a closely related field at the Bachelor's or Master’s level.
- 5 years+ of experience in machine learning, data science, or a related field.
- High-level expertise in one of the programming languages such as Golang/Python/Java/ R/Julia.
- A comprehensive grasp of machine learning methodologies and principles, encompassing supervised and unsupervised learning, deep learning, and reinforcement learning.
- Experience with data manipulation, preprocessing, and feature engineering techniques.
- Excellent problem-solving skills and analytical thinking.
- Strong communication and collaboration skills.
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