MLOps Consultant

4 weeks ago

BangaloreAnywhere in IndiaMultiple Locations Marktine Technology Solutions Full time

We are looking for MLOps Consultants.


Job Description :


- Model Deployment : Deploy machine learning models in production environments on cloud platforms such as Azure and AWS. Work closely with data scientists and software engineers to integrate models into existing systems


- Infrastructure Management : Set up and maintain infrastructure for machine learning model deployment. Ensure smooth integration of ML workflows into CI/CD pipelines..


- Monitoring and Maintenance : Implement and manage robust monitoring solutions to track model performance, data drift, and other relevant metrics. Proactively identify and address issues related to model degradation or system failures.


- Cloud Expertise : Demonstrate expertise in cloud platforms, particularly Azure and/or AWS, for deploying and managing machine learning services.


- Automation and Scripting : Develop automation scripts and tools to streamline deployment processes and enhance efficiency. Implement infrastructure as code (IaC) practices for reproducibility and scalability.


Requirements & Qualifications :


Experience :


- 5-8 years of hands-on experience in deploying and monitoring machine learning models.


- Basic understanding of ML and data science/modeling aspects.


Technical Skills :


- Proficiency in cloud platforms, especially Azure and/or AWS.


- Experience with open-source tools for MLOps, such as Kubernetes, Docker, and Apache Airflow and developing and streamlining workflows, building scalable pipelines, etc.


- Ensuring successful model development, testing, optimization, scaling, monitoring/observability, and governance.


- Continuous integration and continuous deployment (CI/CD).


- Knowledge of best practices and processes to promote reproducibility in a centralized manner (cloud/hybrid infrastructure and environment)


- Strong scripting skills (e.g., Python) for automation and tool development


- Problem-Solving : Strong problem-solving skills with a focus on finding efficient and scalable solutions.


- Ability to learn new tools on the go and developing best practices is mandatory.

(ref:hirist.tech)

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