AI Engineer (Contract) #dl

Key Responsibilities:

. Manage AI Platform: Set up and oversee both development and production infrastructure for AI/ML workloads, ensuring reliability, scalability, and performance.
. Data Infrastructure: Build robust data ingest and transformation pipelines to support AI/ML model training and inference at scale.
. Model Deployment: Collaborate closely with data scientists to convert AI/ML models into deployable services using best practices in MLOps.
. System Integration: Integrate AI solutions with existing platforms and business systems through APIs, microservices, or other means.
. Access Enablement: Develop APIs or lightweight UIs to make AI capabilities easily accessible to partners and business users.
. Coordinate with different functional teams to implement models and monitor outcomes

Qualifications:

. Fluent in Python programming, Linux Systems,
. Strong background in software engineering, data engineering, or AI infrastructure
. Experience with cloud platforms (Azure) and containerization tools (Docker, Kubernetes)
. Familiarity with building RESTful APIs and/or frontend tools for AI interfaces
. Solid understanding of MLOps practices and tools (e.g., MLflow, FastAPI)
. Excellent written and verbal communication skills for coordinating across teams
. A drive to learn and master new technologies and techniques

Nice to Have:
. Exposure to big data processing and streaming tools (e.g., Kafka, Spark)

. Proficient in Python and AI/ML frameworks (TensorFlow, PyTorch, etc.)
. Experience with CI/CD and infrastructure-as-code (Terraform, Jenkins)
. Familiarity with security, monitoring, and performance tuning for AI services

EA Reg Number: R21103035

EA License Number: 07C3924 | Company Registration No: 200609504D