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Develop and maintain AI-driven conversational systems and chatbots while advising customers on GenAI/ML best practices, using Python, JavaScript/TypeScript, LLM frameworks (LangGraph, Llamaindex, DSPy), and major cloud platforms (AWS, Azure, GCP).
Freelance AI Solutions Engineer owning end-to-end feature development, collaborating with product/design, and mentoring juniors on a remote team. Core tech includes Python, cloud platforms (AWS/Azure/GCP), LLM/GenAI frameworks, and MLOps.
Build and deploy AI-powered features using Python, React, and ML frameworks like TensorFlow/PyTorch, collaborating with product teams to ship scalable GenAI applications.
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.
Build and fine-tune AI models using Python, PyTorch, and Hugging Face; develop NLP and computer vision applications in a startup environment.
AI/ML Engineer building and deploying generative AI, NLP, and computer vision models using Python, PyTorch, Keras, and Hugging Face, with RESTful API development for model integration.
AI Engineer building and deploying machine learning models with PyTorch, TensorFlow, Python, and Scala in Bangalore with remote flexibility.
AI/ML Intern building and fine-tuning LLMs and other models using Python, PyTorch, and Hugging Face, with exposure to NLP, computer vision, and API development in Pune, India.
Python Developer building scalable Flask/Django apps, integrating ML libraries (TensorFlow/PyTorch), managing CI/CD pipelines, and working with microservices and GraphQL APIs.
Develops and maintains Python-based applications with ML integration, APIs, and microservices for high-performance solutions; collaborates with data engineering teams to optimize and deploy scalable systems.
An Applied AI Scientist designing, developing, and deploying machine learning models (NLP, TensorFlow/PyTorch) in cloud environments using Python and Docker, in a hybrid role based in Acalanes Ridge, California.
Design, optimize, and deploy deep learning models using Python, PyTorch, and TensorFlow on AWS/GCP in a fully remote, hourly contract role.
Machine Learning Engineer designing, developing, and implementing ML models and optimizing pipelines in a fully remote role using Python, Java, cloud ML services, and frameworks like TensorFlow/PyTorch.
Data Engineer building and maintaining scalable ETL data pipelines for AI/ML model training, using Python, SQL, and tools like Airflow in an onsite role in Pune.
The ML Engineer integrates AI/ML models into production, optimizes inference pipelines, manages CI/CD workflows, and builds Agentic/multimodal AI systems using Python, PyTorch/TensorFlow, Docker, Kubernetes, and cloud platforms.
An AI Research Engineer develops and deploys machine learning models, conducts research, and collaborates with teams to solve complex problems using Python, TensorFlow, PyTorch, and NLP/Computer Vision techniques.
Senior Computer Vision Engineer builds AI-powered visual systems for retail robots, focusing on barcode/QR scanning, product recognition, and edge deployment using OpenCV, PyTorch, and ROS2.
Builds and deploys generative AI and agentic systems using LLMs, LangChain/LangGraph, and Python to automate workflows and support healthcare applications.
Builds and maintains AI/ML systems and infrastructure for a large bank, using Python, ML frameworks, and cloud platforms while integrating enterprise-approved AI-assisted development tools.
Build and deploy ML models in AWS/Azure for healthcare analytics, refactoring data scientists' code into production batch jobs and optimizing cloud costs.
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