JOB DESCRIPTION: MLOps Engineer (Mid-Level) at COMPANY_NAME

Location: Anywhere

JOB SUMMARY:

We are seeking a talented mid-level MLOps Engineer to join our expanding AI team at COMPANY_NAME. The ideal candidate will have the ability to design, develop, deploy, and maintain scalable machine learning pipelines and infrastructure systems.

RESPONSIBILITIES:

- Work closely with data scientists and software engineers to develop a production-ready machine learning pipeline.
- Build, maintain and scale various production ML models and systems.
- Design and deploy robust and scalable data processing systems.
- Develop and maintain automated testing and deployment processes for ML models and services.
- Design, configure, and deploy infrastructure platforms like Kubernetes or Docker for training, testing, and deployment of ML models.
- Collaborate with the development team to meet the availability and scalability targets of the ML infrastructure.
- Work with operations to identify and resolve any infrastructure issues.
- Continuously explore new technologies to find opportunities for innovation and development.

REQUIREMENTS:

- Minimum of 3 years of experience in relevant fields.
- Proven experience in building and deploying machine learning models for production systems.
- Expert-level experience using Python and ML libraries like TensorFlow, PyTorch or Scikit-Learn.
- Experience in data pre-processing and analysis using libraries such as Pandas and Numpy.
- Experience in building and maintaining scalable infrastructure platforms such as Kubernetes or Docker.
- Familiarity with platform concepts like serverless and cloud infrastructure (AWS, Google Cloud Platform, etc).
- Strong problem-solving and critical thinking skills.
- Good knowledge of SQL and NoSQL databases.
- Evidence of excellent collaboration and communication skills.
- A proactive, independent, and self-motivated approach.

LOCATION:

This job is fully remote. You can work from anywhere you like but flexibility is required if meetings have to happen.

COMPANY CULTURE:

We are a young and dynamic AI company that values creativity, justice, diversity, and equity. We embrace innovation, and we are passionate about making progress in the field of machine learning and artificial intelligence. We reward hard work, dedication, and collaboration. Working at COMPANY_NAME offers a challenging and exciting opportunity to work with a great team of experts who share your passion for technological advancement.
Dear Hiring Manager,

I am excited to apply for the MLOps Engineer position at COMPANY_NAME as advertised. As a Machine Learning Engineer with over three years of experience, I am confident that I possess the necessary expertise to design, develop, and maintain scalable machine learning pipelines and infrastructure systems that will meet your requirements.

I am passionate about making advancements in the field of machine learning and artificial intelligence and I believe that my experience building and deploying machine learning models for production systems, as well as my expert-level proficiency in Python and ML libraries including TensorFlow, PyTorch and Scikit-Learn, make me a strong candidate for the position. I also have experience in data pre-processing and analysis using Pandas and Numpy, as well as building and maintaining scalable infrastructure platforms such as Kubernetes and Docker.

I am excited by the opportunity to design and deploy robust and scalable data processing systems and to continuously explore new technologies to find opportunities for innovation and development. With my strong problem-solving and critical thinking skills, I am confident that I can meet and exceed the requirements of this role.

The COMPANY_NAME culture of embracing creativity, justice, diversity, and equity is in line with my own values, and I am thrilled to join a team passionate about innovation in the field of machine learning. I am also eager to work in a collaborative environment and reward hard work, dedication, and teamwork.

Thank you for considering my application. I look forward to the opportunity to further discuss how my skills and experience can add value to your team.

Sincerely,

APPLICANT_NAME.