Machine Learning
5 months ago
**About the Company**
**About the Role**
As a machine learning engineer at our company, you will be responsible for designing and implementing machine learning models to solve real-world problems related to computer vision AI. This will involve researching and testing different algorithms and approaches, as well as developing and maintaining machine learning pipelines.
**Responsibilities**:
- Design and develop machine learning models and systems that solve real-world problems using computer vision AI techniques.
- Work with data scientists and software engineers to build and deploy machine learning models into production environments.
- Collaborate with cross-functional teams to identify and prioritize machine learning projects and initiatives.
- Conduct research and stay up to date on the latest machine learning trends and technologies.
- Contribute to the development of machine learning best practices and standards within the organization.
**Requirements and Skills**
- ** 0 - 3 years** Experience in Machine Learning Engineer.
- Bachelor’s or master’s in **computer science**, **Machine Learning, Data Science**, or related field.
- Proven experience as a Machine Learning Engineer, with a strong portfolio of successful machine learning projects.
- Expertise in machine learning frameworks and libraries such as **TensorFlow, PyTorch, or scikit-learn**.
- Proficiency in programming languages such as **Python **and ability to write production-level code.
- Strong understanding of **deep learning, reinforcement learning, and natural language processing** (NLP).
- Experience with data engineering, feature engineering, and ETL processes.
- Excellent problem-solving skills and the ability to work on complex and ambiguous problems.
- Strong **communication and teamwork** skills
**How to Apply**
If you are a skilled
**Machine Learning Engineer**".
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