AI/ML Engineer
Agilisium · Not specified · onsite · Posted 51d ago
Undisclosed1–5 yrsfulltimeSourced from
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About this role
Job Summary
We are seeking an experienced MLOps GenAI Engineer with strong expertise in building and deploying production-grade ML pipelines, cloud-native solutions, and MLOps frameworks. The role requires a deep understanding of the ML lifecycle, CICD automation, containerization, and orchestration to deliver scalable, secure, and high-performing AIML solutions in enterprise environments.
Accountabilities - Design, build, and deploy production-grade ML pipelines using modern frameworks and MLOps tools.
- Develop and manage CICD pipelines for ML model deployment and monitoring.
- Implement containerization (Docker) and orchestration (Kubernetes) for scalable model serving.
- Collaborate with data scientists, data engineers, and architects to productionize ML models.
- Ensure compliance with best practices for cloud-based ML deployments across AWS, Azure, or GCP.
- Integrate third-party services and APIs for enhanced solution capabilities.
- Contribute to architecture design while driving low-level implementation.
- Work closely with cross-functional teams across geographies to deliver end-to-end AIML solutions.
- Hands-on experience in Generative AI and MLOps.
- Strong proficiency in Python and ML frameworks such as TensorFlow, Keras, or PyTorch.
- Experience with MLOps tools: MLFlow, Kubeflow, Weights Biases, AWS SageMaker, Vertex AI, DVC, Airflow, Prefect.
- Proven experience in CICD pipelines, version control systems (Git), and deployment automation (Jenkins, Cloud Build, etc.).
- Strong knowledge of cloud platforms: AWS, GCP, Azure.
- Proficiency in containerization (Docker), Kubernetes, and Kafka.
- Strong background in statistical modeling, machine learning, and unstructured data analytics.
- Deep understanding of ML lifecycle and hands-on experience in productionizing ML models.
- Experience in data engineering pipelines.
- Exposure to third-party integrations for AIML systems.
- Experience in architecture evolution for large-scale AIML solutions.
- Ability to work both independently and collaboratively in distributed teams.
- Strong problem-solving, stakeholder management, and technical communication skills.
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Skills
AutomationDockerAws SagemakerDeployment Automationcloud platformsapisgoogle cloud platformamazon web servicesapache airflowAnalyticsData AnalyticsdeploymentData EngineeringcloudArchitecturecomplianceMicrosoft AzureGenerative AiGITArtificial Intelligence
About Agilisium
Agilisium
IT Services & Consulting
441
employees
2014
12 years old
Los Angeles, CA
United States
About
Delivers innovative data-driven solutions to enhance decision-making and organizational growth in a rapidly evolving data landscape.
Industries
IT Services & Consulting
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116 reviews
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