Machine Learning Engineer – MLOps
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Engineering Machine Learning Engineer role at Ambush focusing on Generative AI and MLOps. Collaborating to drive AI solutions and CI/CD practices in a supportive environment.
Responsibilities:
- Drive the lifecycle of Generative AI solutions
- Unify classification models and backend services under a CI/CD framework
- Mentor infrastructure staff on modern IaC practices
- Streamline the transition of models from research to production
Requirements:
- Proven expertise in architecting end-to-end MLOps workflows
- Extensive hands-on experience as an Azure subject matter expert
- Deep technical proficiency in developing and scaling Generative AI applications
- Mastery of Infrastructure as Code (IaC) tools such as Terraform
- Experience thriving in Agile environments
Benefits:
- People first company culture
- Supportive and empowering environment
- Collaboration and teamwork focus
Similar Jobs

Software Engineer II, Machine Learning Systems – Productization
Software Engineer II developing systems to streamline ML workflows for drug discovery at Iambic Therapeutics. Collaborating with ML scientists and enhancing research processes.

Senior MLOps Engineer – Digital Transformation
MLOps Engineer at Truelogic bridging data science and production engineering for digital transformation initiatives. Building scalable machine learning infrastructure and implementing CI/CD best practices.

Senior MLOps Engineer – Digital Transformation
MLOps Engineer implementing scalable machine learning infrastructure in remote-first environment. Bridging data science and production engineering to deliver impactful projects.

Senior MLOps Engineer – Digital Transformation
MLOps Engineer optimizing scalable machine learning infrastructure at a leading tech firm specializing in digital transformation and IT consulting.

Senior Machine Learning Engineer
Senior Machine Learning Engineer at Sona developing AI-driven solutions for frontline workforce management. Join a small ML team scaling forecasting models across multiple restaurant chains.

Principal Machine Learning Engineer
Principal Machine Learning Engineer leading high-impact ML initiatives for Paramount Streaming. Focused on optimizing sign-up flows and delivering a personalized viewer experience through advanced modeling techniques.

Staff Machine Learning Engineer
Staff Machine Learning Engineer developing cutting-edge ML solutions integrating Generative AI for Workiva. Leading innovative projects ensuring ML infrastructure efficiency and stability.

Senior Machine Learning Engineer, Presentation
Principal Machine Learning Engineer leading visual personalization at Paramount. Optimizing content display to enhance user engagement through machine learning and visual design strategies.

Principal Machine Learning Engineer, Content Engineering
Principal Machine Learning Engineer leading the ShortForm & Video Intelligence pod at Paramount. Overseeing multi-modal ML models to enhance content engagement and safety.

Staff Machine Learning Engineer
Staff ML Engineer designing and developing AI systems for healthcare, focusing on automation of credentialing and verification processes. Leading ML initiatives on a supportive engineering team.

Principal Machine Learning Engineer, Ads Personalization
Principal Machine Learning Engineer leading efforts for ad personalization in streaming at Paramount. Driving technical roadmap and innovating algorithms for user experience and business success.

Principal Machine Learning Engineer, Presentation – Visual Optimization
Principal Machine Learning Engineer at Paramount leading visual optimization and presentation strategies for streaming content. Managing artwork personalization, layout design, and real-time experimentation.

Staff / Principal Machine Learning Engineer
Staff/Principal Machine Learning Engineer at Inworld developing real-time multimodal models for top AI solutions. Join a collaborative team focused on shaping impactful AI technologies in Switzerland.

MLOps Engineer – Healthcare
MLOps Engineer at Experian building scalable machine learning solutions for healthcare revenue cycle optimization. Collaborating with cross-functional teams to productionize ML models and ensure compliance with standards.

Applied ML Engineer, Data
Applied ML Engineer at Cantina Labs building data pipelines for video generation models. Excited about AI's role in creativity and social interactions.

Director of AI & Machine Learning
Director of AI & Machine Learning leading AI capability across MicroTech to develop solutions and improve operational efficiency.

Machine Learning Scientist
Machine Learning Scientist developing generative models for biomolecular structure prediction at Iambic Therapeutics. Contributing to core ML technologies relevant for drug discovery.

Machine Learning Engineer
Machine Learning Engineer at Adapter focusing on deploying ML models and optimizing performance. Engaging with cross-functional teams to implement innovative AI solutions.

ML Engineer – Speech-to-Speech, Subject Matter Expert
Experienced ML Engineer advising on speech-to-speech pipeline for Vosyn, an AI startup. Collaborate to optimize TTS models and lead technical initiatives.

Senior Manager – Machine Learning
Senior Manager leading the Machine Learning team to enhance CCC’s subrogation products. Collaborating with stakeholders and delivering innovative AI solutions in the insurance technology space.
