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Design and deploy AI/ML models to optimize manufacturing processes, predict quality issues, and improve operational efficiency using Python, PyTorch/TensorFlow, and MLOps tools.
Builds and maintains production-grade machine learning pipelines and infrastructure for AI-driven mobility products, collaborating with data scientists and engineers to deploy scalable ML solutions.
Data Science Manager (Credit) Location: London, United Kingdom Department: Data Science Who we are Moniepoint is a global fintech building modern financial services for millions of people and businesses across…
Machine Learning Engineer Location: IN, BANGALORE Remote Type: Hybrid Time Type: Full time Job Description Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of…
Build and deploy AI/ML models for location intelligence, using Python, TensorFlow/PyTorch, and cloud tools to optimize field operations and drive business growth.
Salary: $108,459 - $130,000 p.a. Te Ratonga Tautoko Hangarau | Digital Services Located in Ōtautahi | Christchurch, Aotearoa | New Zealand 5 weeks annual leave +5 days university holidays Professional development…
Lead Engineer - Cloud & Gen AI Location: United States Of America, Connecticut, Orange Job Description Lead Engineer - Cloud & Gen AI Reports to: Senior Manager - IT Infrastructure Location: In Office , Orange…
Build simulation, optimization, and AI/ML models to improve container terminal operations like vessel loading, yard management, and equipment efficiency.
Build and deploy AI-powered workflows and full-stack apps that connect to Trafigura’s core platforms, turning prototypes into production systems while collaborating with business teams.
Senior Engineer builds and deploys AI/ML models and data pipelines to optimize oil & gas operations, trading, and supply chains using Python, SQL, and cloud platforms like Databricks.
Build and deploy AI-powered CRM solutions for enterprise clients using Salesforce’s Agentforce platform, integrating LLMs and data pipelines while leading end-to-end technical delivery.
Build and deploy secure, scalable Java/Spring Boot microservices on AWS that power autonomy and AI features for heavy equipment, using real-world machine data to improve jobsite performance.
Lead backend engineering for autonomy services at Caterpillar, designing scalable Java/Spring Boot microservices on AWS and guiding AI-assisted development workflows.
Designs and deploys cloud-native backend services (Java/Spring Boot) for Caterpillar’s autonomy platform, integrating AI agents, microservices, and AWS to improve heavy machinery intelligence and scalability.
Lead architecture and development of backend microservices and APIs for autonomy services, integrating AI models, digital twins, and cloud-native platforms to power Caterpillar’s connected machines.
Leads cloud-native architecture and AI-driven integration for Caterpillar’s digital twin and simulation platforms, designing scalable microservices, APIs, and AI-agent workflows to connect industrial assets and improve real-world fleet performance.
Lead AI Engineer designs, builds, and scales enterprise-grade AI systems (including LLMs and generative AI) for regulated industries like healthcare and public sector, while mentoring teams and ensuring responsible AI governance.
Senior Data Engineer builds and maintains large-scale data platforms and pipelines for a global bank, using Spark, Kafka, Iceberg, and cloud-native tools to deliver trusted, AI-ready data assets.
Designs, builds, and deploys machine learning models and data pipelines in Python/R, turning complex data into insights for a large African bank.
Principal Cloud Developer designs and builds cloud-native, AI-enabled enterprise applications, leading architecture, scalability, and MLOps practices in a hybrid role based in Bengaluru.
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