AI Engineer

🕒 November 4, 2025

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 65%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Innowhyte Inc

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

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.

📋 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.