Machine Learning Engineer

Role

Machine learning engineer (4 to 6 years exp)

Description

We are looking for a Machine Learning Engineer with strong knowledge in designing and developing machine learning systems, implementing appropriate Client algorithms. You will have to work with data to create models, perform statistical analysis, and train and retrain systems to optimize performance. You will also be responsible for building efficient self-learning applications and contributing to advancements in artificial intelligence. You will work closely with the data team and application team to ensure efficient solutions.

Responsibilities

1. Design machine learning systems
2. Research and implement appropriate Client algorithms and tools
3. Develop machine learning applications according to requirements
4. Select appropriate datasets and data representation methods
5. Run machine learning tests and experiments
6. Perform statistical analysis and fine-tuning using test results
7. Train and retrain systems when necessary
8. Extend existing Client libraries and frameworks
9. Keep abreast of developments in the field

Requirements

1. Proven experience as a Machine Learning Engineer or similar role
2. Understanding of data structures, data modeling, and software architecture
3. Deep knowledge of math, probability, statistics, and algorithms
4. Ability to write robust code in Python
5. Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
6. Experience in performing machine learning tasks in Azure or Google
7. Excellent communication skills
8. Ability to work in a team
9. Outstanding analytical and problem-solving skills

Top 3 Skills:

1. Machine learning
2. Google cloud
3. Python, Client Libraries