Techwizens LLC · 3 days ago
Lead MLOps Engineer
United States
Contract
Remote
Senior Level, Lead/Staff
10+ years exp
Maximize your interview chancesIT Services and IT Consulting
Insider Connection @Techwizens LLC
Get 3x more responses when you reach out via email instead of LinkedIn.
Responsibilities
Architect for scalable, cost-efficient, reliable and secure ML solution.
Design, implement and deploy ML solutions in AWS.
Select and justify appropriate ML technology within AWS and Identify appropriate AWS services to implement ML solutions.
Design, build, and maintain infrastructure required for efficient development, deployment, and monitoring of machine learning models.
Implement CI/CD pipelines for machine learning applications to ensure smooth development and deployment processes.
Collaborate with data scientists to understand and implement requirements for model serving, versioning, and reproducibility.
Monitor and optimize model performance in production, identifying and resolving issues proactively to ensure optimal results.
Automate repetitive tasks to improve efficiency and reduce the risk of human error in MLOps workflows.
Maintain documentation and provide training to team members on MLOps best practices, ensuring knowledge sharing and collaboration within the team.
Stay updated with the latest developments in MLOps tools, technologies, and methodologies to remain current and effective in your role.
Qualification
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
Required
Certification: AWS Certified Machine Learning – Specialty (Mandatory)
10+ Years of experience
Bachelor's or master’s degree in computer science, Engineering, or a related field
3+ years of experience in MLOps, DevOps, or related fields.
Strong programming skills in Python, GoLang with experience in other languages such as Java, C++, or Scala being a plus.
Experience with ML frameworks such as TensorFlow, PyTorch, and/or scikit-learn.
Proficiency with CI/CD tools such as Github Actions.
Hands-on experience with AWS.
Familiarity with containerization and orchestration tools like Docker and Kubernetes.
Knowledge of infrastructure-as-code tools such as AWS CDK and Cloudformation.
Strong understanding of machine learning lifecycle, including data preprocessing, model training, evaluation, and deployment.
Excellent problem-solving skills and the ability to work independently as well as part of a team.
Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.
Preferred
AWS Certified Machine Learning – Specialty
Experience with feature stores, model registries, and monitoring tools such as MLflow, Tecton, or Seldon.
Familiarity with data engineering tools such as AWS EMR, Glue and Apache Spark.
Knowledge of security best practices for machine learning systems.
Experience with A/B testing and model performance monitoring
Company
Techwizens LLC
11-50 employees
H1B Sponsorship
Techwizens LLC has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (11)
Funding
Current Stage
Early StageCompany data provided by crunchbase
