Innowhyte Inc
Artificial Intelligence • B2B • Enterprise
Innowhyte Inc is an enterprise-focused innovation consultancy and AI services provider that combines data and intelligence with design thinking to build enterprise-scale solutions. The company emphasizes Pattern-Oriented Innovation and an a7i framework to templatize repeatable innovation patterns, accelerate time-to-market, and harness opportunities in unmet "white space" areas across business domains. Innowhyte works with organizations to uncover the right problems, convert insights into actionable solutions, and harden designs for scale and sustainable impact.
11 - 50 employees
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
AI Engineer
Job not on LinkedIn
November 4
Innowhyte Inc
Artificial Intelligence • B2B • Enterprise
Innowhyte Inc is an enterprise-focused innovation consultancy and AI services provider that combines data and intelligence with design thinking to build enterprise-scale solutions. The company emphasizes Pattern-Oriented Innovation and an a7i framework to templatize repeatable innovation patterns, accelerate time-to-market, and harness opportunities in unmet "white space" areas across business domains. Innowhyte works with organizations to uncover the right problems, convert insights into actionable solutions, and harden designs for scale and sustainable impact.
11 - 50 employees
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
📋 Description
• Design, fine-tune, and deploy LLMs using frameworks like Hugging Face or OpenAI APIs. • Build and implement RAG pipelines with vector databases (e.g., Pinecone, FAISS). • Develop Generative AI solutions, including chatbots, summarization, and content creation tools. • Preprocess, clean, and annotate datasets for training and evaluation. • Optimize models for performance using techniques like quantization and pruning. • Deploy scalable solutions in production using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure). • Monitor and troubleshoot deployed models for accuracy and reliability. • Collaborate with cross-functional teams to align AI capabilities with business objectives. • Stay updated with advancements in AI/ML research and integrate best practices.
🎯 Requirements
• Proficiency in Python and NLP frameworks (Hugging Face, spaCy, PyTorch, TensorFlow). • Strong understanding of transformer architectures and generative models like GPT or BERT. • Experience with vector search databases (Pinecone, Weaviate, Elasticsearch). • Familiarity with cloud-based AI platforms and containerization tools. • Excellent problem-solving, analytical, and communication skills.
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