Tech jobs
Job listings
Senior AI Software Engineer
Build and deploy GenAI and Agentic AI solutions for enterprise clients, from PoC to production, using LLMs, cloud AI services, and Python.
Data Scientist, Deep Learning Forecasting
Build deep-learning forecasting models to predict demand with 96% accuracy, using Python and PyTorch/TensorFlow, and deploy them in production to drive profit growth for clients like Delta and Virgin Atlantic.
Python and Kubernetes Software Engineer - Data, AI/ML & Analytics
Build and maintain open-source data, AI/ML, and analytics platforms using Python, Kubernetes, and tools like Kubeflow and MLFlow, deployed across clouds and on-prem.
Azure Databricks Platform Engineer — Data Infra & MLOps
Build and maintain an Azure Databricks data platform with IaC, CI/CD, MLOps, and migration to Sweden Central for analytics and AI workloads.
Senior ML Engineer & Data Scientist: Production AI
Build and deploy ML models end-to-end: prototype, train, and productionize AI solutions on Azure/AWS/GCP using Python, PyTorch, and Databricks.
Experienced Data Scientist/ Machine Learning Engineer
Build and deploy ML models end-to-end, from data engineering to production on Azure/AWS/GCP, using Python, Databricks and MLOps tooling.
Data Platform Engineer, Solna
Build and maintain a secure, scalable Azure-based data platform for analytics, AI, and reporting, using Databricks, Data Lake, Terraform, and CI/CD pipelines.
Data Platform Engineer, Solna
Build and run a secure, scalable Azure-based data platform (Databricks, Data Lake) that powers analytics, AI, and reporting for a logistics company.
Data Platform Engineer, Solna
Build and maintain a secure, scalable Azure and Databricks data platform that powers analytics, AI, and business insights for a logistics company.
AI Engineer — RAG, LLMs & MLOps Specialist
Senior AI engineer builds and scales Retrieval-Augmented Generation systems using Python, LangChain, and AWS AI services, while implementing MLOps practices for production ML.
AI/ML Computational Scientist
Design and deploy AI/ML solutions for enterprise clients, including custom models, GenAI/LLMs, and scalable MLOps pipelines in cloud environments.
Senior AI/ML Systems Architect
Designs and deploys enterprise-grade AI/ML systems, including custom models, MLOps pipelines, and production deployments using deep learning, GenAI, and HPC.
Lead Gen AI Engineer (GCP)
Lead the design, development, and deployment of enterprise-scale Generative AI solutions using LLMs, RAG pipelines, and cloud platforms like GCP, while mentoring teams and optimizing production-grade AI systems.
Senior Data Scientist, ML, NLP, GenAI, Agentic AI
Build and deploy GenAI, Agentic AI, and NLP models to create intelligent assistants for SMSF customers and advisers in Wealth & Private Banking.
AI Solutions Architect
Designs end-to-end AI infrastructure (GPU clusters, networking, storage, MLOps) and translates customer needs into technical proposals to win enterprise AI deals.
Principal AI Engineer
Principal AI Engineer designs and deploys scalable AI/GenAI systems, leads MLOps practices, and mentors teams to drive business insights and automation in regulated enterprise environments.
Senior Data Scientist, Applied Science
Senior Data Scientist building and deploying LLM-driven AI systems for enterprise clients, optimizing reasoning chains, and leading MLOps and AI strategy.
Senior AI Engineer
Senior AI engineer builds safety guardrails, evaluation pipelines, and observability for agentic systems in AWS to ensure responsible AI deployment and compliance.
Data / ML Engineer
Build and own ML systems that forecast energy demand, detect faults, and drive dispatch decisions in real time, from data pipelines to production deployment.
Senior Data Scientist
Build and deploy AI/ML models and analytics to optimize supply chain, forecasting, and business decisions across a global wine producer.