Job Title: Mid-level MLOps Engineer

Location: COMPANY_NAME headquarters in San Francisco, CA

Job type: Full-time

Job Description:
At COMPANY_NAME, we're looking for a talented Mid-level MLOps Engineer to join our team. The ideal candidate will have experience in software engineering, machine learning, and operations to build and productionize complex data-driven systems. As an MLOps Engineer, you will be responsible for building and improving our ML systems' performance and reliability by developing and monitoring the operational infrastructure. The role is based in San Francisco, but we're open to remote work arrangements.

Responsibilities:
- Implement MLOps best practices for deploying, scaling, and monitoring complex data and AI systems
- Collaborate with machine learning engineers, data scientists to build and deploy production-level models and pipelines
- Develop CI/CD pipelines to automate the training, deployment, and monitoring of machine learning models
- Build and maintain the infrastructure and tools to enable our team to rapidly develop, test, and deploy new models and updates.
- Optimize model performance and containerization efficiency using technologies like Kubernetes and Docker.
- Develop and implement monitoring and alerting systems to ensure the reliability and robustness of our systems

Requirements:
- 3-5 years of experience as a hands-on software engineer with a focus on MLOps, DevOps, or systems engineering
- Strong experience with Python, SQL, Shell, and other relevant scripting languages.
- Experience with ML frameworks like TensorFlow, Keras, or PyTorch, and libraries like scikit-learn and Pandas
- Experience with containerization and orchestration tools like Docker and Kubernetes
- Experience with cloud platforms such as AWS, Azure, or GCP (AWS preferred)
- Experience with building and maintaining highly scalable, performant, and distributed systems
- Strong analytical and problem-solving skills
- Excellent written and verbal communication skills

Nice to have Requirements:
- Experience with Big Data technologies such as Apache Spark, Hadoop, or NoSQL databases
- Experience with data visualization libraries like d3.js and matplotlib 

Culture:
We're a fast-growing AI company that is passionate about building autonomous systems that improve people's lives. We value innovation, collaboration, and curiosity, and we're looking for people who share our values. At COMPANY_NAME, we encourage a diverse and inclusive workplace with a culture that promotes growth, learning, and work-life balance. Our team enjoys weekly team-building activities, hackathons, and access to the latest technologies to promote learning and professional development.

If you're ready to join our team of AI enthusiasts, apply now!
Dear Hiring Manager,

I am writing to apply for the Mid-level MLOps Engineer position at COMPANY_NAME. As an experienced Machine Learning Engineer, I am excited to apply my skills and expertise towards building and scaling complex data-driven systems. I am particularly drawn to this position because of the company's focus on innovation, collaboration, and promoting work-life balance.

With over 5 years of experience in software engineering and MLOps, I have developed a strong understanding of deploying, monitoring, and scaling complex data and AI systems. I have a proven track record of working with machine learning engineers and data scientists to build and deploy production-level models and pipelines, develop CI/CD pipelines to automate the training, deployment, and monitoring of machine learning models, and optimize model performance and containerization efficiency using technologies like Kubernetes and Docker.

In addition to my technical skills, I have strong analytical and problem-solving skills, as well as excellent written and verbal communication skills. I am experienced with cloud platforms such as AWS and have built and maintained highly scalable, performant, and distributed systems.

Moreover, I believe that my values aligned with those of COMPANY_NAME. I am passionate about building autonomous systems that improve people's lives, and I believe in the importance of cultivating a diverse and inclusive workplace with a culture that promotes growth and facilitates learning and professional development.

In conclusion, I am excited about the opportunity to contribute my skills and expertise towards COMPANY_NAME's mission. Thank you for considering my application. I look forward to discussing how my skills can add value to your organization.

Sincerely,

APPLICANT_NAME