Senior Machine Learning Engineer
Senior Machine Learning Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
5-8years
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
- To work with a team of dynamic ML engineers and R&D team in a fastgrowing startup.
- Design build and optimize machine learning models to address various business challenges.
- Ensure seamless deployment of models into production environments with a focus on scalability and performance.
- Research and experiment with stateoftheart machine learning techniques to improve model accuracy and efficiency.
- Identify and train suitable machine learning models to be used in conjunction with trading algorithms for complex problems.
- Oversee the full ML model training lifecycle from data preprocessing to model serving.
- Design and implement ML pipelines to allow for proper tracking of data trained models Deliver POC.
- Progress within the stateoftheart AI environment.
- Finetune the current model and implement it.
- Understand analyse and define new models to create new use cases.
- Lead a team of engineers.
Requirements
- Ph.D or Master Bachelors Degree in Computer Science Artificial Intelligence Data Science is preferred.
- Experience in ML model training/finetuning from Data preprocessing all the way to model serving
- Experience in optimizing performance of ML models Experience with ML pipe lining tools
- Full proficiency in Python R
- Understanding of basic Git commands
- Proficiency in Linuxbased operating systems
- Strong knowledge in Machine Learning and Deep Learning (CNN RNN Random Forest SVM etc)
- Experience with Document AI understanding and extraction is a big plus
- Experience with Pytorch or Tensorflow
- Knowledge of DevOps CI/CD tools such as Jenkins
- Knowledge of container tools such as Docker and Kubernetes Github repository with projects is a big plus (we want to see what you have been able to create)
- Ability to solve technical challenges and solutions
- Good command of spoken & written English
- A fast learner and able to work independently
Machine Learning, LLM, Fintech, AWS, Git, Algorithms, System Design, Data Science
Education
Ph.D, Master or Bachelor's Degree in Data Science, Artificial Intelligence, Computer Engineering, Information Technology, Computer Network, Data Communications, or relevant discipline.
Employment Type
Full Time
