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Design and implement AI systems, including NLP, computer vision, or generative models, using Python and frameworks like TensorFlow/PyTorch.
Lead the design and development of scalable IT systems, drive technical decisions, mentor engineers, and shape product architecture for a high-growth company.
Builds and maintains automated test scripts to ensure software quality, collaborates with dev teams on testing strategies, and analyzes test results to improve product performance in a 6-month freelance role.
A junior-level freelance engineer executes small, guided tasks in AI/data platforms, focusing on code, docs, and issue resolution while adhering to team standards and mentorship. Core tools: Palantir Foundry, cloud services, and DevOps practices.
Title: Senior Implementation Engineer Industry: Information Technology | Work Mode: Onsite | Location: Washington, D.C., USA Role Summary Embark on a rewarding career in the Information Technology industry as a Senior…
Build and maintain production AI and data infrastructure on Palantir Foundry/AIP using TypeScript, Python, PySpark, and React as a remote forward deployed engineer working directly with customer teams.
Forward Deployed Engineer implementing Palantir Foundry & AIP solutions for a Palantir partner, driving data integration, Ontology design, and platform governance. Core tech: Python, TypeScript, React, PySpark, Palantir Foundry/AIP, OSDK.
Build and optimize scalable backend systems using Java and Spring Boot to train next-gen AI models, designing microservices and conducting code reviews.
Build and deploy AI/ML models (LLMs, RAG, NLP, generative AI) on a large-scale platform using Python, TensorFlow, Scikit-learn, and AWS, with full MLOps and data engineering responsibilities.
Lead the design and implementation of a large-scale AI/ML platform focused on intelligent automation, predictive analytics, NLP, and generative AI using Python, LLMs, RAG, AWS, TensorFlow, and MLOps in a fully remote freelance role.
Remote Forward Deployed / Palantir Foundry Engineer building and deploying mission-critical data platforms using Python, TypeScript, React, and Palantir Foundry, with heavy emphasis on data integration, ontology, and customer-facing solution design.
Role Summary As an SAP SD Consultant, you will play a pivotal role in the S/4HANA Cloud Public Edition Implementation project within the IT industry. Your expertise in SAP Sales and Distribution modules will enable…
Design and implement scalable AI architectures, collaborating with cross-functional teams to drive innovation and efficiency using technologies like AWS Bedrock, SageMaker, Azure OpenAI, Vertex AI, Python, PyTorch, and RAG.
Leads AI-driven product initiatives and the product lifecycle from conception to launch, collaborating with cross-functional teams using agile methodologies and technologies like Generative AI, LLMs, and cloud AI platforms.
AI QA Engineer validating AI-driven solutions through automated testing, API/ETL testing, model validation, and bias detection using Python, Selenium, and CI/CD tools on-site in Delhi.
A Business Analyst at Expertshub.ai gathers and documents business needs, maps processes, and translates them into clear requirements for IT teams to build or improve systems.
Lead MLOps strategy and production ML system deployment for an AI company, defining multi-year technical roadmaps, architecting scalable systems, and establishing engineering standards—onsite in Delhi.
An MLOps Engineer leads technical initiatives, designs scalable ML systems, and mentors teams to implement end-to-end ML workflows using AWS/Azure, Kubernetes, and MLOps tools like MLflow and Kubeflow.
Remote Voice AI Engineer owning a real-time voice platform—tuning ASR/LLM/TTS/RAG pipelines, handling WebRTC/SIP telephony, and taking client implementations from scoping through production.
Build and own production AI systems (voice agents, RAG pipelines, LLM orchestration) while mentoring engineers and advising C-level clients in a hybrid San Diego role.
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