Senior MLOps Engineer – Digital Transformation
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
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.
Responsibilities:
- Design and maintain robust ML deployment pipelines to ensure seamless model delivery.
- Automate model training, deployment, and monitoring workflows to increase operational efficiency.
- Collaborate closely with Data Scientists and Engineering teams to integrate models into production environments.
- Optimize cloud-based infrastructure to enhance the scalability and reliability of ML systems.
- Implement CI/CD best practices specifically tailored for machine learning lifecycles.
- Monitor production systems and proactively troubleshoot performance or governance issues.
Requirements:
- Extensive experience as an MLOps Engineer or Machine Learning Engineer within production environments.
- Advanced proficiency in Python.
- Proven track record deploying, monitoring, and maintaining ML models at scale.
- Hands-on experience with Docker and Kubernetes for containerization and orchestration.
- Strong expertise in cloud platforms such as AWS, Azure, or GCP.
- Deep understanding of model governance and the end-to-end ML lifecycle.
- Experience with CI/CD pipelines for machine learning workflows is required.
- Proficiency with ML orchestration tools such as Kubeflow, Airflow, or MLFlow is highly preferred.
- Experience with Infrastructure as Code (IaC) using Terraform is preferred.
- Familiarity with monitoring and observability tools in a distributed environment is a plus.
- Experience with LLMOps or GenAI pipelines is a significant plus.
- Background working with enterprise-scale infrastructure or within regulated, high-compliance environments is a plus.
- Familiarity with managed platforms like Databricks, SageMaker, or Vertex AI is preferred.
Benefits:
- 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
- Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
- Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
- Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
- Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.
Similar Jobs
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.
Senior AI/ML Engineer
Senior AI/ML Engineer designing and implementing workflows leveraging LLMs at iBusiness. Collaborating with cross-functional teams to develop scalable AI-driven solutions.
Machine Learning Engineer – Mid-level
Machine Learning Engineer responsible for developing and operating scalable ML solutions at Extractta. Collaborating with product, data, and engineering teams to deliver robust models.