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UltraGenius
MLOps Engineer
seeking an experienced Senior DevOps Engineer to join our dynamic team and play a pivotal role in advancing our AI-driven solutions. As an Experienced Senior DevOps Engineer, you will lead the design and implementation of cutting-edge MLOps and DevOps solutions, leveraging your extensive expertise to optimize performance, scalability, and reliability. You'll collaborate closely with multidisciplinary teams to develop end-to-end CI/CD pipelines tailored for machine learning workflows and help in defining and setting development, testing, release, update, and support processes for DevOps and MLOps operations to establishing best practices for model versioning, monitoring, and governance.
Designation: MLOps Engineer
Job Location: Remote
Job Type: Full-Time
Start Date: ASAP
Responsibilities:
- Lead the design and implementation of MLOps and DevOps solutions to enhance our platform's capabilities.
- Defining and setting development, testing, release, update, and support processes for DevOps and MLOps operations.
- Deployment of diffusion models, LLM Models, and Cost-effective deployment of Generative AI products.
- Collaborate closely with data scientists, machine learning engineers, and product developers to integrate Generative AI models into our existing infrastructure seamlessly.
- Develop and implement end-to-end CI/CD pipelines specifically tailored for Generative AI model workflows to ensure reliable and automated model deployment.
- Optimize and fine-tune infrastructure services, including PaaS and IaaS, to maximize performance, scalability, and cost efficiency for machine learning applications.
- Stay updated with the latest advancements in MLOps tools, techniques, and industry trends to drive innovation and continuously improve our MLOps practices.
- Provide technical leadership and mentorship to junior team members to foster a culture of continuous learning and growth within the MLOps and DevOps team.
Requirements
- 5+ years of total experience in DevOps with relevant experience in implementing MLOps solutions.
- Must have experience with Google Cloud, with hands-on experience deploying machine learning models in production environments.
- Experienced in the scalable and cost-effective deployment of machine learning models and other modules.
- Extensive experience with containerization technologies like Docker and orchestration tools like Kubernetes for managing workloads at scale.
- Proficiency in Infrastructure as code (IaC) for automating the provisioning and configuration of cloud resources.
- Experience with DevOps practices and tools, including CI/CD pipelines, version control systems, and automated testing frameworks.
- Excellent problem-solving skills and the ability to troubleshoot and debug complex MLOps workflows.
Good to have:
- Experienced in deployment of diffusion models, LLM Models, and Generative AI products
- Certifications in cloud platforms, such as AWS and Google Cloud.
- Experience with MLOps tools and frameworks, such as Kubeflow, MLflow, or TFX, for managing the end-to-end machine learning lifecycle.
- Knowledge of data engineering principles and techniques for building scalable and reliable data pipelines.
- Familiarity with software development methodologies, such as Agile or Scrum, for iterative and collaborative project management.
Benefits
- Build products from scratch and be part of decision making.
- Freedom to explore and implement your own ideas
- Hybrid Work Mode
- Open culture with flexible timings
- Work with a Team who is a Family
Memorable
MLOps Lead
This is a full time position that consists in leading our MLOps and will require both machine learning and software engineering skills. The core work will be connected to the deployment of machine learning models. This involves tuning existing models to increase speed and performance and developing software infrastructure to make them scalable.
The Ultimate Guide to DevOps Jobs - How to Get Planning, Implementing, and Managing Your Own!
DevOps is all about collaboration between software engineers and operations teams. It’s a culture that unites their efforts towards the same goal: to produce software that meets customer demands and company expectations faster and more efficiently than ever before. As a result, DevOps enables engineers to code faster, test more often, and release new features sooner. With this blog post, you will get an inside look at the expanding world of DevOps jobs. We’ll explain what they are, what skills you need to land them, how much they pay, and where they are hiring now. Read on to discover everything you need to know about this field so you can take actionable steps towards your own career in DevOps
What is DevOps?
DevOps is a culture of collaboration between software engineers and operations teams that unites their efforts towards the same goal: to produce software that meets customer demands and company expectations faster and more efficiently than ever before. The DevOps culture evolved from the idea that IT teams should be more cross-functional. Engineers from both software development and IT operations should collaborate more closely together to improve the way the business runs. As the name suggests, DevOps is all about communication and collaboration. In the past, engineers worked separately from one another. One team created the software, while the other team managed the infrastructure. But as technology became more complex, this model became inefficient. For example, when an engineer wanted to release a new feature, the team had to wait for the operations team to deploy it to the live system. This caused delays and made it harder to meet customer expectations.
How to Become a DevOps Engineer
DevOps engineers are responsible for bridging the gap between software engineering and IT operations. They are experts in automating repetitive tasks and breaking down processes that were once manual into smaller, more efficient steps. They also troubleshoot problems and help the company meet its business goals faster by building better tools and processes. If you want to become a DevOps engineer, you will need a combination of technical and soft skills. As a software engineer, you’ll need to know how to write code, create tests, and design new features. You’ll also have to have a basic understanding of how the software is deployed and managed in production. As a DevOps engineer, you’ll also need to know how to create the best conditions for your team to succeed. This includes selecting the best tools and introducing new methodologies. You’ll also need to know how to manage the team’s priorities and create a collaborative environment where everyone feels heard.
Developer Jobs in the World of DevOps
There are many types of software developers in the world of DevOps. The most notable are software engineers, software architects, and quality assurance engineers. You will also see folks in these roles who are responsible for automating and managing the deployment of software. Software engineers create the actual application code. This includes the features that customers interact with on a daily basis. Engineers are responsible for designing, testing, and releasing the code. Software architects design the overall structure and architecture of the application. They decide how the pieces of the application fit together in a way that is easy to maintain, use, and scale. Quality assurance engineers are responsible for testing the application before it goes live. They find bugs and other issues with the code, and they help the engineers find and fix any mistakes before the product is used by customers.
Conclusion
As we’ve seen, DevOps is a culture that unites software engineers and operations teams. It’s all about collaboration between different teams and creating the best conditions for engineers to succeed. You will become a DevOps engineer if you’re skilled in creating automated workflows, coding, and testing. You also need to know how to create the best conditions for your team to succeed. You can learn these skills by taking online classes, reading books, and network with other professionals working in this field. If you want to become a part of this growing industry, you will have to learn the latest technologies and methodologies. Take action towards your own career in DevOps today!