Machine Learning Infrastructure or Ops Engineer

Experience: Minimum 5+ years to 10+ Years

About the Role : 

We are seeking a skilled Machine Learning Infrastructure or Ops Engineer to join our dynamic team. In this role, you will play a pivotal part in our cutting-edge projects that drive AI innovation. If you are passionate about shaping the future of AI and machine learning infrastructure, we encourage you to apply and be a part of our journey.

About the Team:

Our team, driven by innovation, collaborates across various departments such as Core Engineering, Sales & Marketing, and Product Development. We leverage a range of technologies, including but not limited to:

• Machine Learning Frameworks
• Cloud Computing Services
• DevOps Tools
• Containerization Technologies
• Distributed Systems
• Monitoring and Logging Solutions
• CI/CD Pipelines

Highlights for Machine Learning Infrastructure:

As a Machine Learning Infrastructure or Ops Engineer at Symbl.ai, you'll architect and maintain a robust, scalable infrastructure, deploying and optimizing machine learning models while ensuring data security and compliance. Join us to drive AI innovation.


Working as a Machine Learning Infrastructure, you will:

• Architect and maintain robust and scalable machine learning infrastructure.
• Collaborate with data scientists and engineers to deploy and monitor machine learning models.
• Implement automated workflows for model training, validation, and deployment.
• Optimize and fine-tune the performance of machine learning systems.
• Ensure data security, privacy, and compliance within the machine learning infrastructure.
• Troubleshoot and resolve infrastructure-related issues.
• Contribute to the evaluation and adoption of new technologies and tools in the machine learning space.
  Please Note: we are fully remote.
  
  

In order to excel in this role, you should: 

• Have a strong background in machine learning infrastructure and operations.
• Be proficient in cloud services such as AWS, Google Cloud, or Azure.
• Possess expertise in containerization technologies like Docker and Kubernetes.
• Demonstrate experience with CI/CD pipelines and DevOps best practices.
• Have a deep understanding of distributed systems and serverless architecture.
• Be skilled in monitoring and logging tools, ensuring system reliability.
• Exhibit strong problem-solving skills and adaptability to dynamic environments.

If some of the above doesn't perfectly align with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Symbl is the place for you.

Benefits and Perks (India)

• An open and inclusive culture and work environment.
• Work closely with a team on the cutting edge of AI research
• Health insurance for you and your family
• Parental Leave and family-planning support
• Annual Learning and Development.
• Unlimited vacation, paid holidays, Flexible schedule

About Symbl.ai

At the forefront of advanced AI, we specialize in  unlocking vast troves of unstructured data for businesses, providing comprehensive conversation analysis and crafting transformative technology that enhances machines' understanding of human conversations beyond conventional capabilities.
Our proprietary Language Model (LLM), Nebula, optimizes natural human interactions across various domains, offering versatile functionalities and on-prem deployment for data security. Nebula Embeddings facilitate advanced search and categorization, seamlessly integrating into applications through an intuitive no-code playground and Model API.

Our technology empowers businesses to make informed decisions, drive growth, and gain real-time insights. With a proven track record in building secure enterprise-grade products, our world-class team is dedicated to equal opportunity and maintains a diverse and inclusive work environment, valuing each individual's unique contributions.

How to Apply:  Email with your cover letter including any relevant links to Github or your recent publications to careers@symbl.ai. We look forward to getting to know you!