Job Role: MLOps Engineer
Salary: ₹13,05,438 per year.
Location: Bengaluru, Karnataka
Company: Agoda
Qualifications: Graduate
Experience: 3-5+ years of experience
ABOUT AGODA
Job Description: MLOps Engineer
Position Overview:
We are on the lookout for a skilled MLOps Engineer to enroll in our group and assist in streamlining our device learning operations. As an MLOps Engineer, you will be liable for developing and maintaining scalable ML infrastructure, deploying and tracking gadget analyzing models, and ensuring the seamless integration of ML structures with our manufacturing environments. Your position may be essential in optimizing the overall performance, reliability, and scalability of our device learning workflows.
About Us:
[Company Name] is a main innovator in [industry/sector], committed to remodeling the manner records and gadgets gaining knowledge of are leveraged to pressure organization fulfillment. We are passionate about creating current-day solutions that clear up complex problems and supply global impact. Our crew is composed of advanced-questioning professionals who thrive in a collaborative and dynamic environment.
Key Responsibilities:
- Infrastructure Management: Design, position into impact, and preserve the ML infrastructure, which encompasses statistics pipelines, version deployment frameworks, and tracking structures. Ensure the infrastructure allows the requirements of the manufacturing-grade system to get to know fashions.
- Model Deployment: Oversee the deployment of device studying models into production environments. Develop and automate deployment procedures, which encompass containerization and orchestration using tools like Docker and Kubernetes.
- Monitoring and Maintenance: Implement tracking answers to song the overall performance and health of gadget reading models in manufacturing. Address issues associated with model flow, ordinary overall performance degradation, and device disasters.
- Collaboration: Work intently with records scientists, software program engineers, and DevOps corporations to recognize requirements and provide answers that integrate ML fashions with current systems. Facilitate effective communique and collaboration between teams. (MLOps Engineer)
- Continuous Integration/Continuous Deployment (CI/CD): Develop and manipulate CI/CD pipelines for system getting to know workflows. Ensure that code, statistics, and models are continuously included and deployed with minimal disruption.
- Security and Compliance: Implement and put into effect safety exceptional practices for statistics and models. Ensure compliance with applicable hints and requirements associated with records’ privacy and version governance.
- Performance Optimization: Optimize tool learning models and infrastructure to improve performance, scalability, and overall performance. Conduct regular performance tuning and capacity-making plans.
- Documentation and Training: Create and preserve comprehensive documentation for ML systems, strategies, and pleasant practices. Provide schooling and aid to team individuals on MLops gear and methodologies.
Qualifications:
- Bachelor’s diploma in Computer Science, Engineering, Data Science, or a related concern. A Master’s diploma or better is a plus.
- Proven enjoy in machine reading operations, which incorporates version deployment, monitoring, and protection.
- Strong understanding of ML frameworks and tools consisting of TensorFlow, PyTorch, or Scikit-study.
- Proficiency in programming languages together with Python, Java, or Scala.
- Experience with containerization and orchestration technology (Docker, Kubernetes).
- Familiarity with cloud systems (AWS, Azure, Google Cloud) and their ML offerings. (MLOps Engineer)
- Solid understanding of CI/CD standards and gadgets (Jenkins, GitLab CI/CD, and so forth.).
- Knowledge of statistics safety and privacy practices.
- Excellent trouble-solving capabilities and capacity to troubleshoot complicated troubles.
- Strong communication skills and capability to work efficiently in a collaborative group environment.
Why Join Us:
- Opportunity to paint on contemporary initiatives and contemporary-day era.
- Collaborative and inclusive artwork tradition.
- Competitive income and benefits package deal.
- Professional growth and improvement opportunities.
If you’re obsessed with advancing the sector of device mastering and want to be a part of an advanced-thinking organization, we would like to pay attention to you. Apply these days and help us power the destiny of [industry/sector]!
Application Instructions:
Please post your resume and a cover letter detailing your applicable revel in and interest inside the feature to [application email/portal].
Apply Now
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