Machine Learning Engineer
1 month ago
Machine Learning Engineer (AI-Based Product Development).
Roles :
We are looking for ML Engineers for an AI based product development for one of our clients in the banking industry.
As a Machine Learning Engineer, you will collaborate with colleagues to bring AI-driven solutions to life, assisting in the productionization of machine learning models and ensuring their effective deployment in a production environment.
Responsibilities :
- Understand the requirements and needs of business stakeholders, building strong relationships, and identifying how AI and machine learning solutions can support our business strategy.
- Support the productionization of machine learning models, including pipeline design, development, testing, and deployment, ensuring the original intent is preserved in the production environment.
- Contribute to frameworks for robust monitoring of machine learning models within a production environment, ensuring they deliver quality and performance.
- We'll rely on your experience in constructing, testing, maintaining, and deploying machine learning models into a production setting.
- This involves utilizing contemporary CI/CD tools such as Git, AWS, AWS Sagemaker, Docker, Terraform, Cloud Formation, Kubernetes, PyTorch, TensorFlow, Jax, Numpy, Scikit-learn, and other related technologies.
Qualifications :
- Minimum 5+ years of relevant experience as a Machine Learning Engineer.
- Proficiency in machine learning approaches and algorithms, including time-series forecasting, classification, regression, large language models, and generative AI.
- Strong programming and scripting skills, particularly in Python, are essential.
- Basic knowledge of the financial services industry and the ability to identify wider business impact and risk opportunities is preferred.
Exp : 5 to 7 years.
Location : Remote
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