Artificial intelligence, machine learning, and generative AI consulting. Browse 30+ freelance positions in AI & Machine Learning and apply to join our consultant network.
Data annotation, labeling, and curation for machine learning training datasets.
Multilingual AI and NLP for Indic languages (Hindi, Tamil, Telugu) and Arabic, including translation, ASR, and regional chatbots.
Meta PyTorch for research and production machine learning.
Retrieval-Augmented Generation for grounded AI responses with enterprise data.
MLOps for machine learning operations, deployment, and monitoring.
LangChain framework for building LLM-powered applications.
Anthropic Claude API integration for safe and capable AI applications.
Azure OpenAI Service for enterprise GPT and DALL-E deployment.
NLP for text analysis, sentiment, entity extraction, and language understanding.
Computer vision for image recognition, object detection, and video analysis.
Google TensorFlow for building and deploying machine learning models.
Building and customizing AI copilots for GitHub Copilot, M365 Copilot, and enterprise workflows.
LLM and ML model fine-tuning for domain-specific applications.
AI chatbot development for customer service and internal automation.
Conversational AI platforms for voice and text-based interactions.
AWS Bedrock for foundation model deployment and management.
AI safety evaluation, red teaming, and adversarial testing for enterprise AI systems.
OpenAI and GPT API integration for intelligent applications.
Multi-agent AI orchestration with CrewAI, AutoGen, and custom frameworks.
Prompt engineering for optimizing LLM outputs and AI applications.
Machine learning engineering for production ML systems and pipelines.
Large Language Models and Generative AI implementation for enterprises.
Agentic AI systems with autonomous agents and multi-agent orchestration.
Google Gemini API integration for multimodal AI applications.
Hugging Face Transformers for NLP and model hub integration.
AI ethics, governance, and responsible AI implementation frameworks.
Google Vertex AI for ML model building, training, and deployment.
AWS SageMaker for end-to-end machine learning workflows.
Deep learning for neural networks, CNNs, RNNs, and transformers.
Vector database implementation with Pinecone, Weaviate, and Chroma.
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