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AI Engineer intern at 42dot designing, implementing, and validating camera-based autonomous driving systems and MLOps pipelines, with potential for full-time conversion.
Lead the design and deployment of enterprise AI/ML solutions for global supply chain and logistics, using Python, TensorFlow, PyTorch, and cloud platforms like Azure or AWS.
Why Keyrus, Why Now! Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than…
Designs and deploys AI solutions for enterprise clients, focusing on GenAI, RAG, and agentic workflows while balancing technical, business, and operational needs.
Designs and implements enterprise AI solutions for customer experience and agentic AI, leading pre-sales, R&D, and client engagements using Python, LLMs, and cloud platforms.
Designs and leads end-to-end AI solutions (GenAI, ML, NLP) for clients, deploying across cloud, sovereign cloud, and on-premise environments while ensuring scalability, security, and compliance.
Builds and maintains AI-driven data infrastructure for industrial AI, focusing on scalable data lakes, pipelines, and governance using open-source tools like Apache Iceberg, Airflow, and PostgreSQL.
Builds and maintains automated ML pipelines, model serving infrastructure, and scalable inference systems for an AI company using PyTorch, TensorFlow, Kubernetes, and cloud platforms.
Senior Machine Learning Engineer designs and scales production-grade ML systems, improves MLOps practices, and mentors teams in a collaborative, cloud-focused environment.
Develops and deploys on-device AI models for industrial use cases like sensor-based anomaly detection and vision quality inspection using PyTorch and ONNX.
Designs, builds, and deploys AI solutions—including ML models, NLP, LLMs, and RAG systems—using Python and cloud platforms to solve real business problems in production environments.
Designs and maintains cloud-based data pipelines in Python and SQL, builds modern data platforms (lakes, warehouses), and ensures data quality and observability for analytics and AI projects.
Senior AI Engineer designs and builds production-grade AI solutions, including AI agents, LLM-based apps, and RAG systems, using Python, React, and AWS AI/ML services like Bedrock and SageMaker.
Designs and implements enterprise AI systems, including data lakes and ML pipelines, using cloud platforms like Azure/AWS to solve business problems such as forecasting or inventory management.
It’s More Than a Career, It’s a Mission. Our people are the foundation of our success. By joining our growing team at Sarah Cannon Research Institute (SCRI), a subsidiary of McKesson, you will have the opportunity to…
C++ AI/ML Software Engineer Description - C++ AI/ML Software Engineer- HP Wolf Security HP Wolf Security is changing the future of endpoint security through delivering secure PCs with advanced hardware-enforced…
Job Description Summary We are seeking a highly capable Technical Project Manager to lead the planning, execution, governance, development, and delivery of complex AI, data engineering, and analytics platforms. The…
A Data Scientist at Shell in Chennai applies AI/ML, process mining, and optimization to enterprise process data, building models that predict inefficiencies and enhance operational performance within Shell's Digital Process Twin ecosystem.
Leads process-mining engagements and AI/ML projects to transform Shell’s business operations by analyzing event data from systems like SAP and Salesforce, driving efficiency gains and measurable outcomes.
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