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• Proven experience as a Machine Learning Engineer
• Understanding of data structures, data modeling and software architecture
• Deep knowledge of math, probability, statistics and algorithms
• Ability to write robust code in Python, PySpark
• Familiarity with Sagemaker, Tensorflow, VertexAI
• Excellent communication skills
• Ability to work in a team
• Outstanding analytical and problem - solving skills

• Machine Learning Engineer responsibilities include:
• Designing and developing machine learning and deep learning systems
• Running machine learning tests and experiments
• Implementing appropriate ML algorithm

• Study and transform data science prototypes
• Design machine learning systems
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks

Minimum years of experience: >10 years

Certifications Needed: No

Top 3 responsibilities you would expect the Subcon to shoulder and execute:

1. Understanding of data structures, data modeling and software architecture
2. Deep knowledge of math, probability, statistics and algorithms
3. Ability to write robust code in Python, PySpark

Interview Process (Is face to face required?) No

Does this position require Visa independent candidates only? No