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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
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Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock, and other machine learning technologies, with a focus on Generative AI and open-source AI frameworks.
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Familiarity with cloud platforms that offer specific support for deploying and scaling generative models, such as Google’s Vertex AI, Azure’s AI tools, and AWS’s Machine Learning services.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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We are seeking a Lead Software Engineer to spearhead our expansion into AI and ML technologies space, with a special focus on Generative AI. This pivotal role involves developing innovative Generative AI solutions that generate dynamic content, automate decision-making, anomaly detection, and provide predictive analytics,and transforming how businesses interact with data.
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Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). Strong hands-on experience in Python, Data Science, ML libraries and frameworks, Gen AI / LLM, AWS, Microsoft cloud, MLOPs.
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What you'll do Lead and drive Generative AI Initiatives within the Cloud Platform team, play a central role in identifying and developing generative AI projects that innovate content creation, enhance decision-making processes, and provide predictive analytics, revolutionizing data interaction across business landscapes.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Drive the development of a comprehensive generative AI SDK, integrating Large Language Models like OpenAI and Google AI with popular programming languages such as Python, Java, c# etc., using platforms like AWS Bedrock or Azure Semantic Kernel or Google’s Vertex AI.Own and drive extensive technical efforts across multiple teams, ensuring projects are executed seamlessly and meet high standards.
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Lead Software Engineer- Cloud Platform. Lead Software Engineer. Lead and drive Generative AI Initiatives within the Cloud Platform team, play a central role in identifying and developing generative AI projects that innovate content creation, enhance decision-making processes, and provide predictive analytics, revolutionizing data interaction across business landscapes.
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Drive the development of a comprehensive generative AI SDK, integrating Large Language Models like OpenAI and Google AI with popular programming languages such as Python, Java, c# etc., using platforms like AWS Bedrock or Azure Semantic Kernel or Google's Vertex AI.
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Lead Software Engineer- Cloud Platform Lead Software Engineer- Cloud Platform Lead Software Engineer Your opportunity. Join our Cloud Platform team to develop state-of-the-art cloud platforms and services that securely process over 2 billion telemetry events per minute across multi-cloud environments.
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As a Google Vertex Full Stack Software Engineer, you will be responsible for developing and implementing machine learning models using Google Vertex AI and developing consumable API microservices using Typescript, Node.js, Express.
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Design, build, deploy machine learning models and microservices on the Google Cloud Platform. Develop and implement train machine learning models using Google Vertex AI and Typescript, Express.
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Our observability tools provide deep visibility into various technologies and distributed systems, enabling software engineering teams to proactively address issues, optimize performance, and enhance their infrastructure.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning open source software engineer aws cloud jobs Title: lead software engineer Company: Caterpillar
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