We are looking for a highly skilled MLOps Engineer with expertise in Python to join our team. The ideal candidate will have experience working with machine learning models and data pipelines.
Roles and Responsibility
- Design, develop, and deploy scalable machine learning models using Python.
- Collaborate with cross-functional teams to identify business problems and develop solutions.
- Develop and maintain large-scale data pipelines using Python.
- Ensure seamless integration of machine learning models into existing systems.
- Troubleshoot and resolve technical issues related to machine learning models.
- Stay updated with industry trends and advancements in machine learning.
Job Requirements
- Strong proficiency in Python programming language.
- Experience with machine learning frameworks such as TensorFlow or PyTorch.
- Knowledge of data structures and algorithms.
- Familiarity with cloud platforms such as AWS or Azure.
- Excellent problem-solving skills and attention to detail.
- Ability to work collaboratively in a team workplace.
About Company
Impact Analytics is a leading company in the industry, committed to driving business growth through data-driven insights. We are seeking a highly skilled MLOps Engineer to join our team, focusing on developing and deploying machine learning models that drive business outcomes.
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.