Cloud ML Engineer

Job highlights

• Experience with machine learning frameworks such as TensorFlow,PyTorch,or Scikit-Learn.

We are looking for a highly skilled and experienced Cloud ML Engineer to join our team. The ideal candidate will have a strong background in machine learning and cloud computing, with excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.

Roles and Responsibility

• Design, develop, and deploy scalable and efficient machine learning models on cloud platforms.

• Collaborate with cross-functional teams to identify business problems and develop solutions using machine learning algorithms.

• Develop and maintain large-scale data pipelines and architectures on cloud infrastructure.

• Ensure high-quality data processing and analysis using data quality checks and validation techniques.

• Implement automated testing and deployment scripts for machine learning models.

• Stay up-to-date with industry trends and advancements in machine learning and cloud computing.

Job Requirements

• Strong proficiency in programming languages such as Python, Java, or C++.

• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.

• Knowledge of cloud computing platforms including AWS, Azure, or Google Cloud.

• Excellent understanding of data structures, algorithms, and software design patterns.

• Strong problem-solving skills and attention to detail.

• Ability to work collaboratively in a team environment and communicate effectively with stakeholders.

About Company

Husqvarna Group is a leading global company that specializes in innovative products and services related to water treatment, wastewater management, and environmental sustainability. We are committed to making a positive impact on the world by providing cutting-edge solutions that meet customer needs while minimizing environmental footprint.

The last day to apply is [insert specific date].

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.