robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud-native services. Proven track record delivering production … AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud-native services. Proven track record delivering production More ❯
Strong knowledge of Python and microservice architectures Experience building web applications, preferably including React Familiar with software development methodologies, scaled system design, and best practices Knowledge of AWS and cloud-native architectures; familiarity with LangGraph a plus Strong communication skills, able to explain technical problems clearly to varied audiences Excellent organisational and technical writing skills Experience working with More ❯
deep experience in Python and AWS to help design, build, and scale distributed, data-driven Ad-Tech systems. Youll lead the delivery of cross-service features within a modern cloud platform, making pragmatic architectural choices and setting high standards for engineering quality, reliability, and performance. Youll play a key role in shaping technical direction, mentoring engineers, and ensuring the … systems you build are secure, observable, and resilient. Key Responsibilities Lead complex delivery: Drive the end-to-end design and implementation of Python-based microservices and cloud-native solutions hosted on AWS. Architect and optimise systems: Define service boundaries, data ownership, and failure-recovery patterns for scalable, high-availability systems. Raise engineering quality: Champion best practices for testing … to technical roadmap: Collaborate with Product, Design, and Data teams to align on priorities and ensure value is delivered incrementally. Core Tech Stack Languages: Python (FastAPI, Flask, or Django) Cloud: AWS (Lambda, ECS/Fargate, S3, DynamoDB, CloudWatch, API Gateway) Data & Messaging: PostgreSQL, Redis, Kafka or SQS CI/CD & Infrastructure: Docker, Terraform, GitHub Actions, CloudFormation Monitoring & Observability: Prometheus More ❯
