Senior AIML Engineer
Senior AIML Engineer
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Job Description
Zinkworks is a global leader in innovation headquartered in Athlone Ireland with three offices locations worldwide. We utilise the latest cuttingedge technologies to bring industryleading expertise to our Telecommunication and Financial services clients. We are adept at developing custom innovations that streamline our clients workflows and improve operational efficiency. With a commitment to quality and customer satisfaction we have earned a reputation as a trusted partner for businesses seeking reliable software services.
What we are looking for
We are seeking a Senior AI/ML Engineer to lead the architecture and implementation of an AI App platforms ML core. Youll be responsible for driving the development integration and lifecycle of machine learning models within this platform enabling draganddrop AI/ML components training pipelines model management and closedloop automation support allowing users with minimal ML experience to build powerful AIdriven rApps.
Responsibilities:
- Architect and implement modular scalable ML components (regression classification neural networks) for use in nocode rApp design.
- Collaborate on the development of a draganddrop rApp design interface ensuring seamless model configuration and training.
- Integrate model training workflows with network PM counter data KPIs and transformations.
- Own the model lifecycle: training tuning evaluation and validation etc.
- Implement model versioning training iteration history and metadata tracking.
- Ensuring robust clean and timely data ingestion and preprocessing.
- Support the integration of models with closedloop automation for rApps.
- Contribute to establishing best practices in ML development (testing monitoring explainability).
- Work crossfunctionally with UX backend and DevOps to expose ML power through intuitive interfaces.
Required Experience
MustHave:
- 5 years in AI/ML engineering preferably in a platform or productfocused role.
- Proven experience with ML model lifecycle management and MLOps (preferably in GCP).
- Proven experience with automated ML pipelines hyperparameter tuning and model validation.
- Strong background in timeseries forecasting regression or classification.
- Expert python skills and exposure to microservices and RESTful APIs.
- Solid grasp of cloudnative AI/ML ideally in Google Cloud Platform (GCP) using Vertex AI BigQuery ML AI Platform etc.
- Experience deploying models via containers (Docker) and working with CI/CD pipelines.
NicetoHave:
- Experience with nocode or lowcode ML platforms.
- Familiarity with ORAN standards or telecomgrade PM/KPI systems.
- Knowledge of AVRO Kafka and realtime data processing.
- Experience integrating ML systems into monitoring and observability platforms.
- Exposure to closedloop automation use cases.
What We Offer
- A key role in a company thats a trailblazer in the telecom sector offering significant opportunities for growth and leadership in marketing.
- The chance to work with a team of forwardthinking professionals committed to establishing Zinkworks position at the forefront of telecom innovations.
- Competitive compensation including health benefits retirement plans and performance incentives.
- An inclusive culture that fosters innovation collaboration and excellence.
Employment Type
Full Time
