DevOps Engineer
Join Synthflow.ai, where we're innovating in AI technology to make it accessible and actionable for businesses of all sizes. Our platform is a game-changer for B2B clients, enabling them to create customized solutions with ease. We're expanding our team and looking for a skilled Python Developer who is enthusiastic about contributing to our next-generation products.
Role Summary: As a DevOps Engineer specializing in MLOps and LLM Ops, you will ensure the robustness and efficiency of our infrastructure that supports AI-driven speech technology platforms and large language models. You will collaborate closely with machine learning teams to streamline the deployment, monitoring, and maintenance of complex models that enhance our products' capabilities.
Key Responsibilities:
Develop and manage a scalable and secure infrastructure for deploying TTS, STT, and LLM applications.
Create and maintain CI/CD pipelines for continuous integration and deployment of various AI models.
Work alongside ML engineers to optimize the training, validation, and deployment of speech and language models.
Monitor and analyze system performance and resolve any issues to ensure reliability and efficiency.
Innovate and implement best practices in cloud technology, containerization, and MLOps/LLM Ops tools to advance our operational capabilities.
Who You Are:
Experienced in DevOps, with a deep focus on MLOps and experience in LLM Ops.
Proficient with cloud services (AWS, GCP, Azure) specifically for deploying ML and LLM environments.
Expertise in container technologies such as Docker and orchestration tools like Kubernetes.
Strong communication skills, capable of collaborating effectively with both technical and non-technical teams.
Minimum Qualifications:
Bachelor’s degree in Computer Science, Engineering, or a related technical field.
Minimum of 3 years experience in DevOps, with significant exposure to MLOps and preferably LLM Ops.
Strong programming and scripting skills in languages like Python.
Demonstrated ability in infrastructure management, DevOps, and operations for ML and LLM frameworks.
What We Offer:
A chance to be at the forefront of technological innovation in a fast-growing startup.
A dynamic and supportive work environment where teamwork and creativity are encouraged.
Competitive salary, comprehensive health benefits, and equity options.
Flexible work arrangements, including remote work opportunities.
Why Build Your Career at Synthflow AI?
Competitive Compensation: Every engineer on our team receives a comprehensive compensation package that includes stock options, ensuring you share in our collective success.
Direct Impact & Ownership: As an integral part of our engineering team, you’ll have the autonomy to shape innovative projects from the ground up. Your work will directly influence the future of voice AI technology in a well-funded startup environment.
Cutting-Edge Technology: Join us in driving the next wave of advancements in the AI no-code space. You'll work on pioneering projects that revolutionize how users interact with technology through voice and language AI.
Collaborative Team Culture: At Synthflow, we value input from all team members and believe that everyone’s contribution is vital to our success. You'll be part of a team that embraces innovation and mutual respect.
Remote-First Flexibility: We are committed to a remote-first approach, allowing you to work from anywhere while contributing to projects that have a global impact. Our headquarters are in Berlin, Germany, but your role can be performed from anywhere in the world.
Apply Now
Role Summary: As a DevOps Engineer specializing in MLOps and LLM Ops, you will ensure the robustness and efficiency of our infrastructure that supports AI-driven speech technology platforms and large language models. You will collaborate closely with machine learning teams to streamline the deployment, monitoring, and maintenance of complex models that enhance our products' capabilities.
Key Responsibilities:
Develop and manage a scalable and secure infrastructure for deploying TTS, STT, and LLM applications.
Create and maintain CI/CD pipelines for continuous integration and deployment of various AI models.
Work alongside ML engineers to optimize the training, validation, and deployment of speech and language models.
Monitor and analyze system performance and resolve any issues to ensure reliability and efficiency.
Innovate and implement best practices in cloud technology, containerization, and MLOps/LLM Ops tools to advance our operational capabilities.
Who You Are:
Experienced in DevOps, with a deep focus on MLOps and experience in LLM Ops.
Proficient with cloud services (AWS, GCP, Azure) specifically for deploying ML and LLM environments.
Expertise in container technologies such as Docker and orchestration tools like Kubernetes.
Strong communication skills, capable of collaborating effectively with both technical and non-technical teams.
Minimum Qualifications:
Bachelor’s degree in Computer Science, Engineering, or a related technical field.
Minimum of 3 years experience in DevOps, with significant exposure to MLOps and preferably LLM Ops.
Strong programming and scripting skills in languages like Python.
Demonstrated ability in infrastructure management, DevOps, and operations for ML and LLM frameworks.
What We Offer:
A chance to be at the forefront of technological innovation in a fast-growing startup.
A dynamic and supportive work environment where teamwork and creativity are encouraged.
Competitive salary, comprehensive health benefits, and equity options.
Flexible work arrangements, including remote work opportunities.
Why Build Your Career at Synthflow AI?
Competitive Compensation: Every engineer on our team receives a comprehensive compensation package that includes stock options, ensuring you share in our collective success.
Direct Impact & Ownership: As an integral part of our engineering team, you’ll have the autonomy to shape innovative projects from the ground up. Your work will directly influence the future of voice AI technology in a well-funded startup environment.
Cutting-Edge Technology: Join us in driving the next wave of advancements in the AI no-code space. You'll work on pioneering projects that revolutionize how users interact with technology through voice and language AI.
Collaborative Team Culture: At Synthflow, we value input from all team members and believe that everyone’s contribution is vital to our success. You'll be part of a team that embraces innovation and mutual respect.
Remote-First Flexibility: We are committed to a remote-first approach, allowing you to work from anywhere while contributing to projects that have a global impact. Our headquarters are in Berlin, Germany, but your role can be performed from anywhere in the world.
Apply Now