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Build and maintain ML pipelines, deploy models, and curate data for analytics using Python, PySpark, SQL, and MLOps tools to support insurance-focused AI solutions.
Project Overview This project aims to develop and clinically validate a real-time blood analysis and diagnostic platform using an integrated microfluidic medical device. The platform uses precision microfluidic…
Designs and operates GCP-based data pipelines, AI/ML models, and cloud-native platforms using Dataflow, Kubeflow, BigQuery, and Django, while applying DevOps/MLOps best practices in a defence-focused environment.
Build and optimize scalable data pipelines and AI-ready systems, including vector search, RAG, and retrieval pipelines, using Databricks, Spark, and Python.
Design, build, and deploy AI models (NLP, LLM, RAG) and data solutions end-to-end, from business needs to production, using Python, MLOps, and cloud platforms.
Build and maintain data pipelines and MLOps infrastructure for marketing AI models using Python, PySpark, SQL, Docker, and AWS.
Senior Data Engineer Our client is a fast-growing consumer technology business, investing in their next-generation data platform to enable advanced analytics, machine learning, and real-time personalised customer…
Responsibilities . Design, implement, and maintain cloud infrastructure using Terraform and IaC principles. . Build and manage AI platform environments across Azure, AWS, . Develop reusable Terraform modules and…
DevOps engineer responsible for designing and maintaining scalable cloud infrastructure (GCP/AWS) using Terraform, Docker, and CI/CD pipelines to support BrainFinance’s AI-driven credit solutions. Focuses on serverless architecture, SRE practices, and cross-team collaboration for performance, security, and multitenant deployments.
Builds and maintains scalable, secure data pipelines and AI/ML infrastructure for a global financial services firm, focusing on data governance, cloud integration, and microservices while collaborating with business units to drive analytics and insights.
Design and run CI/CD, MLOps, and Kubernetes-based cloud infrastructure for a Bitcoin-mining and AI-cloud company, ensuring high availability and security across global datacenters.
Job Description hackajob is collaborating with Simply Business to connect them with exceptional professionals for this role. \n Who Are We? \n We insure small businesses and enable big dreams – not just for our…
Build and deploy ML models for creator discovery, campaign forecasting, and audience insights in the creator economy, using Python, PyTorch/TensorFlow, and Azure.
Lead AI/ML engineering strategy at Lululemon, defining standards for model development, training infrastructure, and GenAI systems while mentoring senior engineers and driving enterprise-scale AI solutions.
Design and evolve Allied’s Microsoft-centric data platform (Fabric, Power BI, Yardi) to integrate real-estate systems, modernize reporting, and enable AI-driven insights across the business.
Lead the architecture of AI and data platforms, defining scalable GenAI/Agentic AI systems and Lakehouse data pipelines on Azure while enforcing governance and mentoring teams.
Frontend / UX Engineer - Robotics Data Operations, Kitchener, ON 510688 05-Ago-2026 Research & Development Change the future with us. We are looking for dedicated and talented people who solve ever-changing…
Develops and maintains ML models (tabular and NLP) to detect phone spam and fraud, focusing on feature engineering, pipeline optimization, and collaboration with business stakeholders to improve detection accuracy and latency in production.
Job Description Build & optimize a high performance data platforms that powering analytics, dashboards , and AI models Pioneer team to freeing Data Scientists & Analysts team from manual engineering Salary up…
Designs and builds an enterprise ML platform on AWS SageMaker Unified Studio, migrating legacy toolchains to a governed, unified system covering the full ML lifecycle.
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