AI Engineer

Integral Creative Solutions

Posted 2mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Bachelor's or Master's degree in Computer Science, Software Engineering, Electrical Engineering, Analytics, or related field (or equivalent practical experience)
3+ years of experience in systems engineering, ML/AI deployment, or MLOps
Proficiency in Python, Java, Go, or C++
Familiarity with software engineering best practices (version control, testing, code reviews)
Experience architecting and deploying end-to-end AI pipelines
Hands-on experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
Experience with model serving platforms (TensorFlow Serving, TorchServe, MLflow, Kedro, Seldon, or similar)
Proficiency with cloud platforms (AWS, Azure, GCP)
Proficiency with containerization (Docker)
Proficiency with orchestration (Kubernetes)
Proficiency with CI/CD tooling
Strong understanding of data engineering concepts (ETL/ELT, data governance, data quality, lineage)
Experience with model monitoring and drift detection
Experience with A/B testing and experimentation pipelines
Familiarity with security and compliance practices (IAM, secrets management, encryption, audit logging)

Master’s or PhD in a relevant field; specialization in ML systems, MLOps, or data engineering
Experience with real-time inference
Experience with streaming data (Kafka, Kinesis)
Experience with feature stores
Knowledge of DevOps fundamentals
Knowledge of SRE practices
Knowledge of reliability engineering for AI systems
Experience with edge AI deployments or on-device inference
Publications or contributions to open-source ML systems projects

Skills