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Senior Data Engineer in a Data Science DevOps team at energy grid operator Enexis, building data infrastructure, pipelines, and CI/CD solutions to optimize the electricity network. Core tech: Python, SQL, Docker, Git, AWS, Airflow, MLflow.
About Elemynt ELEMYNT is an early-stage startup built by Xora Innovation. We develop applied intelligence that brings AI into the real world. Our platform combines advanced machine learning, high-performance…
Designs AI-driven supply chain systems (inventory forecasting, procurement, logistics) using Python, ML, and optimization tools to optimize operations and deliver measurable ROI for a logistics-focused client.
Senior DevOps Engineer at Bitdeer responsible for CI/CD pipelines, incident management, IaC, and cloud-native AI infrastructure using Kubernetes, Docker, Terraform, and Prometheus/Grafana/ELK stacks across multi-cloud environments.
The Principal AI Engineer will lead the design and implementation of agentic AI systems and data platforms within a financial services environment. The role involves building RAG solutions, scalable data pipelines, and AI observability frameworks using technologies like Python, Spark, and Databricks.
The AI Solution Architect designs and implements enterprise-grade AI/ML architectures on Azure. The role focuses on building scalable, production-ready solutions while ensuring compliance and governance through expertise in MLOps and RAG.
Architect and deploy end-to-end AI/ML solutions on Microsoft Azure, including data pipelines, MLOps, vector indexes, and retrieval-based AI systems for enterprise clients.
Senior Data Scientist/GenAI Engineer for a 12+ month freelance engagement, translating business needs into scalable AI solutions using Azure Databricks, SAP data platforms, and GenAI/LLMs with MLOps. Remote within CET timezone with European travel.
The Data Engineering Manager leads a team of engineers to design and deliver scalable data platforms and pipelines. The role involves technical leadership, stakeholder management, and the implementation of modern data practices using cloud technologies, SQL, and Python.
Software Engineer at Vodacom designing, developing, testing, and maintaining digital products and customer-facing platforms (CVM, Loyalty, eCommerce) using Java/Spring, Node.js, Angular/React, or Python with microservices, APIs, Docker/K8s, and CI/CD in an agile squad.
The Industrial Data Scientist will work on high-impact data and AI projects for industrial clients, focusing on developing ML models, building data pipelines, and managing MLOps and production deployment.
DevOps Engineer specialized in Kubernetes, responsible for deploying and optimizing K8s clusters, automating CI/CD pipelines, implementing Infrastructure as Code (Terraform/Ansible), and integrating generative AI tools into DevOps workflows at a public-sector IT subsidiary.
The Cloud Data Engineer designs and implements scalable end-to-end cloud data platforms and pipelines for diverse clients. The role involves working with modern big data technologies like Spark, Databricks, and Snowflake while utilizing DevOps and IaC practices.
Builds and maintains a Python-based MLOps framework for deploying classical ML models, optimizing data storage/access, and ensuring smooth model transitions to production while collaborating with Data Scientists.
DevOps AI role focused on designing and maintaining cloud infrastructures, CI/CD pipelines, and MLOps environments for AI solution deployment in production, working within an agile team alongside AI developers and data scientists.
This Manager role at Deloitte involves leading AI engineering workstreams to build and scale production-ready AI and Generative AI solutions for Civil Government clients. The position requires hands-on engineering expertise in Python and cloud platforms, combined with stakeholder management and delivery leadership in secure, regulated environments.
Data Engineer bridging Azure pipeline architecture and ML forecasting model development for enterprise-scale workforce analytics, using Azure SQL, Databricks, Python, and Power BI.
The Product Owner (Data) will lead the execution of data and AI initiatives by bridging the gap between business needs and technical teams. The role involves managing the full project lifecycle, defining functional requirements, and coordinating multidisciplinary teams to improve operational efficiency within a leading insurance company.
Leads end-to-end design and deployment of production-grade AI/ML and GenAI solutions, focusing on RAG platforms, agentic systems, and secure enterprise integrations using Python, AWS/Azure, and MLOps practices.
Build and deploy end-to-end GenAI/LLM applications (RAG, agentic workflows, evaluation pipelines) using Python, cloud platforms, Docker, and vector databases for a finance consulting firm in Pune.
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