Architect, develop, and deliver MLOps solutions on an AWS-powered platform to support scalable machine learning workflows.
* Collaborate with Platform Users
o Engage with Data Scientists and ML Engineers to understand their requirements and provide tailored solutions to enable their ML use cases.
* Guide Platform Onboarding
o Assist teams in onboarding to the ML Platform by providing technical guidance, support, and training on platform functionalities.
* Design and recommend scalable, secure, and efficient MLOps architectures for deploying machine learning models on AWS.
* Deploy Machine Learning Models to Production
o Lead the deployment of machine learning models to production environments, ensuring robustness, scalability, and monitoring capabilities.
* Refactor Existing MLOps Projects
o Assess and refactor existing MLOps pipelines and projects to improve efficiency, reliability, and maintainability.
* Develop and Maintain Documentation
o Create and update comprehensive documentation for MLOps workflows, processes, and best practices for platform users.
* Contribute to Platform Roadmap
o Provide input to shape the ML Platform’s roadmap by incorporating user feedback and identifying areas for improvement.
* Ensure Best Practices in MLOps Engineering
o Advocate and implement industry best practices in MLOps engineering, including CI/CD pipelines, version control, and automated testing.
* Monitor and Optimize Platform Performance
o Continuously monitor platform performance and identify opportunities for optimization to enhance the user experience and platform efficiency.
* Foster Cross-Functional Collaboration
o Work closely with cross-functional teams, including Data Science, DevOps, and Cloud Infrastructure teams, to ensure seamless integration and alignment of goals.
Requirements
* Experience in Productionizing Machine Learning Models
o Proven experience in deploying machine learning and data science workflows into production environments at scale.
* Expertise in Amazon SageMaker
o Strong hands-on experience with SageMaker for model training, tuning, and deployment.
* Proficiency with AWS ML and Cloud Services
o In-depth knowledge of AWS services such as Lambda, EC2, S3, Glue, Athena, and CloudWatch, with a focus on their application in ML workflows.
* Python Programming Skills
o Advanced coding proficiency in Python, particularly for building data pipelines, developing machine learning models, and integrating cloud services.
* Experience in DevOps Practices
o Capability to incorporate DevOps practices, such as CI/CD automation, version control, and automated testing in MLOps pipelines.
* Familiarity with Infrastructure as Code (IaC)
o Hands-on experience with Terraform for managing and provisioning AWS infrastructure.
* Problem-Solving Skills
o Strong analytical and problem-solving abilities, enabling you to troubleshoot and optimize machine learning workflows.
* Proven ability to work in a collaborative team environment, effectively contributing to shared goals and fostering a positive team dynamic.
* Strong Communication Skills
o Excellent verbal and written communication skills, with the ability to work effectively with diverse teams and communicate technical concepts to non-technical stakeholders.
* Understanding of AWS Security Best Practices
o Knowledge of role-based access control (RBAC), IAM permissions, and security policies in the context of AWS cloud environments.
* Networking Fundamentals in AWS
o Understanding of networking concepts within AWS, such as VPCs, subnets, security groups, and their relevance to machine learning solutions.
* Familiarity with AWS offerings, including managed services and serverless architectures, to optimize machine learning workflows and cost-efficiency.
What we offer
* B2B Contract
o Employment based on a B2B contract.
* Stable and Dynamic International Firm
o Opportunity to work in a stable, dynamically developing international company.
* Engaging Projects and Latest IT
o Chance to participate in interesting projects and work with the latest information technologies.
* Competitive Rates
o Attractive remuneration rates offered.
* Renowned International Projects
o Involvement in the most prestigious international projects.
* Multisport and Private Medical Care
o Access to Multisport benefits and private healthcare services.
Work with us
Apply & join the team
Didn’t find anything for yourself? Send your CV to praca@seargin.com
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