MLOps Expert with Cloud Scalability

15 hours ago

Noida, Uttar Pradesh, India EXL Full time

At EXL, we are seeking a highly skilled MLOps Expert to join our team. As an MLOps Engineer, you will play a critical role in driving the development and deployment of machine learning models at scale.

About the Role

This is a unique opportunity to work with cutting-edge technologies and contribute to the success of our organization. You will be responsible for ensuring seamless deployment and management of ML prototypes on cloud platforms, monitoring real-time performance, and troubleshooting production issues related to model deployment and scalability.

In this role, you will collaborate closely with DevOps engineers, ML scientists, software engineers, data engineers, and other stakeholders to implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, and automated deployment.

As an MLOps Expert, you will stay updated with the latest advancements in MLOps technologies and recommend new tools and techniques. You will also contribute to the continuous improvement of team processes and workflows, share knowledge and expertise to promote a collaborative learning environment, and participate in fast iteration cycles.

Key Responsibilities
  • Drive ML prototypes into production ensuring seamless deployment and management on cloud at scale.
  • Monitor real-time performance of deployed models, analyze data, and proactively address performance issues.
  • Troubleshoot and resolve production issues related to ML model deployment, performance, and scalability.
  • Collaborate with DevOps engineers to manage cloud compute resources for ML model deployment and performance optimization.
  • Work closely with ML scientists, software engineers, data engineers, and other stakeholders to implement best practices for MLOps.
  • Stay updated with the latest advancements in MLOps technologies and recommend new tools and techniques.
  • Contribute to the continuous improvement of team processes and workflows.
  • Share knowledge and expertise to promote a collaborative learning environment.
  • Participate in fast iteration cycles and adapt to evolving project requirements.
Mandatory Skills
  • Programming Languages: Proficiency in Python (3.x) and SQL.
  • ML Frameworks and Libraries: Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
  • Databases: Proficiency in SQL and NoSQL databases.
  • Mathematics and Algorithms: In-depth knowledge of mathematics, statistics, and algorithms.
  • ML Modules and REST API: Proficient with ML modules and REST API.
  • Version Control: Hands-on experience with version control applications (GIT).
  • Model Deployment and Monitoring: Experience with model deployment and monitoring.
  • Data Processing: Ability to turn unstructured data into useful information (e.g., auto-tagging images, text-to-speech conversions).
  • Problem-Solving: Analytically agile with strong problem-solving capabilities.
  • Learning Agility: Quick to learn new concepts and eager to explore and build new features.
Qualifications
  • Education: Bachelor's or master's degree in computer science, Data Science, or a related field.
  • Experience: Minimum of 4 years of hands-on experience in MLOps, deploying and managing machine learning models in production environments, preferably in cloud-based environments.
Salary

$120,000 - $150,000 per year

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