Job Description: About Zinkworks
At Zinkworks, we’re transforming industries by creating cutting-edge solutions that fuse AI, ML, and intelligent automation into real-world applications. We're passionate about innovation, quality, and building high-performance 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 proof-of-concepts and project solutions within two key verticals: capital markets and telecom networks.
You’ll work on a diverse range of use cases, including:
- Anomaly detection in RAN (Radio Access Network) time-series data
- Network optimization
- Time-series modeling in financial systems
Your work will be instrumental in helping our clients—ranging from telecom operators to global banks—leverage advanced AI/ML capabilities for real-time insights and predictive intelligence.
Key Responsibilities
- Model Development & Experimentation
- Design, build, and refine AI/ML models using architectures such as LSTM, Transformer, GCN (Graph Convolutional Networks)
- Apply anomaly detection techniques (e.g., Isolation Forest, statistical methods) to multivariate time-series data
- Data Engineering & Processing
- Work with structured and semi-structured 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 cross-functional 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., F1-score, ROC-AUC, 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 time-series modeling, anomaly detection, and multivariate data analysis
- Hands-on 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 Transformer-based 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 back-office analytics
Job ID
- J-18808-Ljbffr
Job Highlights
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