About the Role
We are seeking a talented MLOps Engineer (Python, AWS) - Remote to join our innovative team. In this role, you will be responsible for developing and maintaining machine learning pipelines, ensuring efficient deployment and monitoring of machine learning models. As an MLOps Engineer, you will work closely with data scientists and software engineers to streamline the ML lifecycle, from data ingestion to model deployment.
What You'll Do
- Design and implement scalable ML pipelines using Python and AWS.
- Collaborate with data scientists to deploy machine learning models into production environments.
- Utilize Kubernetes and Docker for containerization and orchestration of ML applications.
- Develop and maintain CI/CD processes for machine learning workflows.
- Monitor and optimize model performance and reliability in production.
- Work with real-time data pipelines and integrate with Kafka for data streaming.
- Implement automation tools for MLOps to enhance operational efficiency.
- Participate in project management activities to ensure timely delivery of ML projects.
Requirements
- 3+ years of experience as an MLOps Engineer or similar role.
- Strong proficiency in Python and experience with AWS services.
- Hands-on experience with machine learning frameworks and libraries.
- Familiarity with CI/CD tools and practices.
- Experience with Kubernetes, Docker, and Terraform.
- Knowledge of data engineering principles and data pipeline development.
- Experience with AI chatbots or retrieval-augmented generation (RAG) systems is a plus.
Nice to Have
- Experience with MySQL and FastAPI.
- Familiarity with Ruby or Kotlin.
- Understanding of advanced analytics and big data technologies.
What We Offer
- Competitive salary ranging from $120,000 to $150,000 annually.
- Fully remote work environment with flexible hours.
- Opportunities for professional development and training.
- Collaborative and innovative team culture.
- Health and wellness benefits.
- Access to cutting-edge technologies and tools.
- Support for work-life balance and personal growth.
This MLOps Engineer position offers a unique opportunity to work remotely with a focus on Python and AWS. The role emphasizes collaboration and innovation, making it an attractive option for professionals in the AI field.
Who Will Succeed Here
Proficient in Python for building scalable machine learning pipelines, with hands-on experience in frameworks like TensorFlow or PyTorch, ensuring robust model performance in production environments.
Strong understanding of AWS services such as SageMaker, Lambda, and EC2, with the ability to design cloud architectures that support MLOps workflows, demonstrating adaptability to remote collaboration tools like Slack and Zoom.
Experience with CI/CD practices for machine learning projects, utilizing tools like Jenkins or GitLab CI to automate testing and deployment processes, showcasing a proactive mindset towards continuous improvement.
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