استخدام MLOps Engineer
شرح موقعیت شغلی
We are seeking a highly skilled MLOps Engineer to join our dynamic team. In this role, you will be responsible for deploying, managing, and optimizing AI models in a cloud environment. You will collaborate closely with data scientists and software developers to ensure the seamless integration and scalability of AI solutions.
Key Responsibilities:
1. Cloud Platform Management: Proficient in cloud computing services, particularly AWS or Google Cloud. You will be expected to leverage these platforms for deploying and managing AI models.
2. AI Model Deployment: Responsible for deploying AI models to the cloud, ensuring their performance and scalability. You must be adept at handling challenges related to model deployment and versioning.
3. Integration and Collaboration: Work closely with data scientists to understand the AI models and their requirements. Collaborate with software developers to integrate these models into larger systems or applications.
4. Optimization and Monitoring: Continuously monitor and optimize the performance of AI models. Address any issues related to latency, efficiency, or resource allocation.
Knowledge of Django:
5. Experience with Django is essential, as you will utilize this framework for web applications that interact with the deployed AI models.
6. Continuous Improvement: Stay abreast of the latest developments in AI, MLOps, and cloud technologies. Implement best practices and innovative solutions to enhance system performance and reliability.
Qualifications:
1. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
2. Strong experience with AWS or Google Cloud Platform.
3. Demonstrated experience in deploying AI models to the cloud.
4. Proficiency in Django or similar web frameworks.
5. Excellent problem-solving and analytical skills.
6. Strong communication and teamwork abilities.
7. English proficiency (Preferred)
This role is an excellent opportunity for someone passionate about AI and cloud technologies, looking to make a significant impact in a fast-paced environment. If you are a team player who thrives in challenging situations and is eager to drive innovation, we would love to hear from you.
Benefits:
AWS Certification Support: Receive guidance and resources to attain AWS certification, enhancing your expertise in cloud computing.
Collaboration with Expert Scientists: Work alongside highly skilled scientists, contributing to cutting-edge machine learning projects.
Continuous Learning Opportunities: Access ongoing training for continuous growth in MLOps and related technologies.
Career Advancement: Seize unique career growth opportunities with mentorship and development programs.
Innovative Work Environment: Contribute to innovative solutions addressing real-world challenges using machine learning.
Professional Networking: Build a strong network by collaborating with industry experts and attending relevant events.
Flexible Work Arrangements: Enjoy flexibility for a healthy work-life balance, including remote work options and flexible schedules.
Key Responsibilities:
1. Cloud Platform Management: Proficient in cloud computing services, particularly AWS or Google Cloud. You will be expected to leverage these platforms for deploying and managing AI models.
2. AI Model Deployment: Responsible for deploying AI models to the cloud, ensuring their performance and scalability. You must be adept at handling challenges related to model deployment and versioning.
3. Integration and Collaboration: Work closely with data scientists to understand the AI models and their requirements. Collaborate with software developers to integrate these models into larger systems or applications.
4. Optimization and Monitoring: Continuously monitor and optimize the performance of AI models. Address any issues related to latency, efficiency, or resource allocation.
Knowledge of Django:
5. Experience with Django is essential, as you will utilize this framework for web applications that interact with the deployed AI models.
6. Continuous Improvement: Stay abreast of the latest developments in AI, MLOps, and cloud technologies. Implement best practices and innovative solutions to enhance system performance and reliability.
Qualifications:
1. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
2. Strong experience with AWS or Google Cloud Platform.
3. Demonstrated experience in deploying AI models to the cloud.
4. Proficiency in Django or similar web frameworks.
5. Excellent problem-solving and analytical skills.
6. Strong communication and teamwork abilities.
7. English proficiency (Preferred)
This role is an excellent opportunity for someone passionate about AI and cloud technologies, looking to make a significant impact in a fast-paced environment. If you are a team player who thrives in challenging situations and is eager to drive innovation, we would love to hear from you.
Benefits:
AWS Certification Support: Receive guidance and resources to attain AWS certification, enhancing your expertise in cloud computing.
Collaboration with Expert Scientists: Work alongside highly skilled scientists, contributing to cutting-edge machine learning projects.
Continuous Learning Opportunities: Access ongoing training for continuous growth in MLOps and related technologies.
Career Advancement: Seize unique career growth opportunities with mentorship and development programs.
Innovative Work Environment: Contribute to innovative solutions addressing real-world challenges using machine learning.
Professional Networking: Build a strong network by collaborating with industry experts and attending relevant events.
Flexible Work Arrangements: Enjoy flexibility for a healthy work-life balance, including remote work options and flexible schedules.
مهارتهای مورد نیاز
- Python
- MLOps
- OOP
حداقل سابقه کار
- کمتر از سه سال
حقوق
- حقوق از ۱۸,۰۰۰,۰۰۰ تومان
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- مهم نیست
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