AI ML Engineer
AI ML Engineer
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Job Description
About Zinkworks
At Zinkworks were transforming industries by creating cuttingedge solutions that fuse AI ML and intelligent automation into realworld applications. Were passionate about innovation quality and building highperformance teams that drive impactful change across telecommunications finance and emerging tech.
About the Role
We are looking for an experienced and motivated AI/ML Engineer to join our Solutions & Innovation team. This role involves designing and implementing AI models for proofofconcepts and project solutions within two key verticals: capital markets and telecom networks.
Youll work on a diverse range of use cases including anomaly detection in RAN (Radio Access Network) timeseries data network optimization and timeseries modeling in financial systems. Your work will be instrumental in helping our clientsranging from telecom operators to global banksleverage advanced AI/ML capabilities for realtime insights and predictive intelligence.
Key Responsibilities
- Model Development & Experimentation
- Design build and refine AI/ML models using architectures such as LSTM Transformer and GCN (Graph Convolutional Networks).
- Apply anomaly detection techniques (e.g. Isolation Forest statistical methods) to multivariate timeseries data.
- Data Engineering & Processing
- Work with structured and semistructured data from telecom and financial systems.
- Develop data ingestion and transformation pipelines using GCP services (e.g. Cloud Functions BigQuery).
- Deployment & Integration
- Deploy scalable models to production using GCP tools such as Vertex AI and Cloud Run.
- Develop REST APIs to expose inference services for integration with client systems.
- Collaboration & Delivery
- Collaborate with crossfunctional teams including solution architects cloud engineers and domain experts.
- Participate in client workshops and technical governance for PoC delivery and feedback incorporation.
- Monitoring & Validation
- Define and track model evaluation metrics (e.g. F1score ROCAUC RMSE).
- Implement logging monitoring and retraining strategies as needed.
Required Skills and Experience
- Strong proficiency in Python with experience using ML frameworks such as TensorFlow or PyTorch.
- Solid understanding of timeseries modeling anomaly detection and multivariate data analysis.
- Handson experience with Google Cloud Platform (GCP)especially Vertex AI BigQuery Cloud Functions and Cloud Run.
- Familiarity with RESTful API development and serving ML models in production.
Preferred Qualifications
- Experience working with one or more of the following:
- Telecom KPIs (e.g. latency throughput jitter SINR)
- Capital markets datasets (e.g. trade logs FIX message flows)
- Experience with Graph Neural Networks and Transformerbased models.
- Exposure to OSS/BSS systems RAN telemetry or network optimization domains.
- Familiarity with containerization and CI/CD workflows (e.g. Docker GitHub Actions).
- Prior experience in financial services especially around trade surveillance or backoffice analytics.
Employment Type
Full Time
