Job Title: Entry Level MLOps Engineer

Company Name is looking for an Entry Level MLOps Engineer to join our team in developing and managing our machine learning infrastructure. The ideal candidate is someone who is passionate about machine learning, engineering, and cloud computing. We are looking for someone who is driven, focused, and a continuous learner.

Responsibilities:
- Design, build and manage our machine learning infrastructure in AWS
- Manage the deployment and scaling of our machine learning models
- Collaborate with data scientists and software engineers to ensure that models are implemented and operating efficiently
- Work with DevOps team to automate processes and optimize the deployment pipeline
- Monitor, troubleshoot, and maintain the health of our machine learning infrastructure
- Develop and maintain MLOps pipeline and ensure the best practices are followed

Requirements:
- Bachelor’s degree in Computer Science or related field
- Knowledge of Python and its scientific libraries
- Experience with cloud computing platforms, particularly AWS
- Strong understanding of machine learning concepts and algorithms
- Experience with deployment tools like Git, Docker, Kubernetes.
- Excellent communication (verbal and written) and organizational skills
- Ability and willingness to learn new technologies and techniques

Preferred:
- Knowledge of JavaScript, HTML, CSS.
- Basic understanding of web development
- Hands-on experience with various DevOps technologies
- Experience working with teams using version control and project management tools

Location: The role will be based at our company headquarters which are in CITY, STATE.

Job Culture: COMPANY_NAME is a dynamic and inclusive workplace that strives to create an environment where everyone can thrive. We are passionate about our work, and we value diversity of thought, skillset, and background. Our team is supportive and encourages continuous learning and growth. We offer competitive compensation, benefits, and opportunities for advancement.

We encourage applications from all qualified candidates, regardless of race, gender, sexual orientation, age, or religion. If you are excited about the prospect of being part of a dynamic team that is pushing the boundaries of AI, we definitely want to hear from you!
Dear Hiring Manager,

I am writing to express my interest in the Entry Level MLOps Engineer position at your company. As an individual with a passion for machine learning, engineering, and cloud computing, I believe I am an ideal candidate for this role.

I hold a Bachelor's degree in Computer Science, and through my academic and professional journey, I have gained a strong understanding of machine learning concepts and algorithms. Additionally, I have experience with Python and its scientific libraries and deployment tools like Git, Docker, and Kubernetes. Moreover, I have a deep understanding of cloud computing platforms and AWS specifically.

What I find particularly exciting about this role is the opportunity to design, build and manage your machine learning infrastructure in AWS, manage the deployment and scaling of machine learning models, and collaborate with data scientists and software engineers. By joining your team, I can ensure that models are implemented and operating efficiently.

Furthermore, I have exceptional communication (verbal and written) and organizational skills, which I believe will be crucial in collaborating with other teams while developing and maintaining MLOps pipeline and ensuring that best practices are followed.

I am also enthusiastic about your company culture and vision of creating a diverse and inclusive workplace. Being part of a team that values diversity of thought, background, and skillset is important to me, and I am excited to contribute to your efforts towards this vision.

In summary, my experience and expertise make me a valuable addition to your team. I am eager to join your dynamic and inclusive workplace and contribute to the growth and success of your company. Thank you for considering my application.

Sincerely,
APPLICANT_NAME