Primary Location: 100% Remote

V-Soft Consulting is currently hiring for a Machine Learning Engineer/SRE 100% Remote for our premier client in 100% Remote.

Education And Experience

• Experience with cloud-based machine learning platforms (e.g., Azure Machine Learning).
• Experience with CI/ CD tools to deploying ML services and applications specific to Azure cloud platform
• Data Management: Experience in data preprocessing, feature engineering, and data pipeline development for machine learning.
• Collaborative Team Player: Excellent communication skills and the ability to work collaboratively with cross-functional teams, including AI engineers and SREs.
• Documentation: Effective documentation skills to maintain clear and organized records of models, infrastructure configurations, and incident responses.
  
  

Knowledge, Skills And Abilities

• Manage Azure Infrastructure: Configure, maintain, and optimize Azure infrastructure for AI model development and deployment, ensuring scalability and performance.
• Model Performance Monitoring: Implement and maintain monitoring systems to track model performance, proactively identifying and addressing issues as they arise.
• Incident Response: Collaborate with the SRE team to respond promptly to outages and incidents related to model operations, ensuring minimal downtime and rapid issue resolution.
• Azure Infrastructure Experience: Proficiency in managing Azure infrastructure components, including virtual machines, storage, and networking, to support AI model development and deployment.
• CI/CD Pipeline Experience: Experience with Continuous Integration/Continuous Deployment (CI/CD) pipelines, including the automation of model deployment processes.
• Containerization in the Cloud: Strong knowledge of containerization technologies in the cloud, such as Docker and Kubernetes, for efficient deployment and scaling of machine learning models.
• Machine Learning Expertise: Proficient in building and optimizing machine learning models, with a deep understanding of various ML algorithms and frameworks.
  
  

Preferred Qualifications

• Familiarity with DevOps practices and tools for automating infrastructure and deployments.
• Knowledge of model versioning and model management tools.
• Understanding of security best practices in AI model deployment.
• Certifications in relevant areas, such as Azure certifications or machine learning certifications.
  
  

What Youll Do

Job Responsibilities:

• Seeking a highly skilled and motivated Machine Learning Engineer who possesses expertise in developing, deploying, and managing machine learning models.
• You will be an integral part of our AI Engineering and Site Reliability Engineering (SRE) teams, responsible for managing Azure infrastructure for AI model development and deployment, monitoring and reporting model performance, and responding to outages/incidents related to model operations.
  
  

Interested?

Qualified candidates should send their resumes to sfahad@vsoftconsulting.com

V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks.

As a valued V-Soft Consultant, youre eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth.

V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

For more information or to view all our open jobs, please visit (link removed) or call (844) 425-8425.

#JOB