Machine Learning Engineer (Contract)

Overview

In this role, you will deploy and operate AI/ML architectures in production to deliver measurable value. You’ll design scalable ML pipelines and real-time services, ensuring observability and automated retraining. You collaborate with cross-functional teams to align model outcomes with business goals and drive continuous improvement. You will work on modern tooling and cloud-native solutions to scale client capabilities in a fast-paced environment.

Responsibilities

• Deploy and operate AI/ML architectures in production
• Build high-volume batch processing systems and real-time microservices
• Implement automated continuous retraining and system observability
• Architect sustainable ML solutions across the lifecycle
• Articulate technical trade-offs to engineers and business partners
• Collaborate within multidisciplinary teams to deliver client value

Key requirements

• Hands-on experience deploying/operating AI/ML in production
• Proficiency in Python and SQL; experience with PyTorch, TensorFlow, Scikit-learn
• Experience with Google Cloud Platform: BigQuery, Vertex AI, Dataflow
• Experience with deployment pipelines, version control, Docker and Kubernetes
• Familiarity with generative AI, LLMs, and agent tools (ADK, LangChain, AutoGen)
• Strong communication skills and ability to influence across technical and non-technical stakeholders
• Inquisitive self-starter with attention to detail and continuous learning

• clear communication
• collaboration
• ambiguity tolerance
• Python
• SQL
• PyTorch

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