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Mlops engineer Jobs in Wolfschlugen
Senior Go Software Engineer
TechBiz Global GmbHStuttgart, BW, DEMachine Learning Engineer Automotive (m / w / d)
msg systemsStuttgart, DE- Gesponsert
Machine Learning Engineer (w / m / d) - System Engineering / Admin, Ingenieur
CapgeminiStuttgart, DECloud Engineer
Cambridge International Systems IncMoehringen, Moehringen, DE- Gesponsert
Desktop Support Engineer
A&O IT GroupNürtingen, DEAutomation Engineer
DSJ GlobalBaden-WürttembergNetwork Engineer
Booz Allen HamiltonStuttgart, Baden, Wurttemberg- Gesponsert
System Engineer
Michael Page - GermanyStuttgart, GermanyRequirements Engineer
STRABAG BRVZ GmbH & Co. KGStuttgart, Deutschland- Gesponsert
AI / ML Operations Engineer (m / f / d)
Höchstleistungsrechenzentrum Stuttgart (HLRS)Stuttgart, Baden-Württemberg, Germany- Gesponsert
DevOps Engineer
Salve.Inno ConsultingStuttgart, DE- Gesponsert
Data Science Consultant - Public Sector, Orphoz (m / w / d) - Consulting, Datenbankentwicklung / BI, Ingenieur
McKinsey & CompanyStuttgart, DE- Gesponsert
Senior Software Engineer, Frontend (Remote)
Twelve DataStuttgartPraxissemester Machine Learning für Time-Series Analytics
STZ Softwaretechnik GmbHEsslingen, DE- Gesponsert
Senior Backend Engineer
Angeheuert GmbHEchterdingen, GermanySenior AI Solution Area Specialist
MicrosoftStuttgart, Baden-Württemberg, GermanySenior Go Software Engineer
TechBiz Global GmbHStuttgart, BW, DEAt TechBiz Global, we’re more than just a recruitment and software development company — we’re aGerman based global partner dedicated to your business success. With a diverse, distributed team, we specialize in IT recruitment, outstaffing, outsourcing, software development, and consulting services for more than 100 clients around over 20 countries.
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Senior Go Software Engineer to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
About the role
We’re looking for a Senior Go Software Engineer to build real-time voice AI systems that set the standard.
Your responsibilities will include :
Design and enhance backend infrastructure focusing on scalability, performance, and reliability. Implement features and maintain the systems that power our next-generation products.
Expertly manage concurrency and parallelism in Go using goroutines, channels, and synchronization primitives like mutexes and wait groups.
Develop robust networking and streaming capabilities , including experience with network programming, sockets, and protocols like WebSockets and WebRTC.
Lead performance optimization initiatives by profiling Go code, reducing latency, and efficiently managing memory and garbage collection.
Build fault-tolerant systems with strong recovery mechanisms and failover strategies to maintain service continuity.
Implement comprehensive logging and tracing using tools such as zap, klog, OpenTelemetry, and Jaeger to enhance monitoring and troubleshooting.
Apply Test-Driven Development (TDD) and engage in Pair Programming to ensure high code quality and promote team collaboration.
Participate actively in code reviews , offering constructive feedback to uphold code quality and adhere to best practices.
Stay informed on the latest in software development and contribute to the team's continuous learning and improvement.
You have :
At least 5 years of professional experience with Go, along with a track record of developing scalable and extensible systems.
Additional proficiency in Python and familiarity with infrastructure containerization, DevOps & MLOps tools (preferably GCP or AWS).
Extensive experience in creating and maintaining robust APIs and implementing advanced CI / CD pipelines.
A strong foundation in software engineering principles and a commitment to leading-edge practices including TDD, pair programming, and continuous integration.
Beyond the basics :
Exposure to voice technologies like WebRTC and Twilio.
A background in AI , particularly around Large Language Models, Speech to Text, and Voice Synthesis applications.
Experience in AI-related fields , such as low-latency audio stream processing or leveraging LLMs in product environments.
Knowledge of distributed computing and cloud infrastructure at scale.
What We Offer :
Autonomy at speed : High-ownership roles in a fast-moving startup.
Remote-first flexibility : Contribute from anywhere, on your schedule.
Cutting-edge technology : Work on what interests you most.
Career growth : Scale your impact as the company grows.
Rewarding package : Competitive pay, equity options, and comprehensive benefits that reflect your skills and experience.