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Hiring AI/ML Engineer/Architect from Healthcare domain background (Bengaluru)

Orcapod Consulting Services · Bangalore

📅 14/08/2026
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Hi All, Hiring skilled Data Scientist/AI Engineer with healthcare domain expertise for our leading client. Interested candidate can drop resume to Experreince-5+ years Skill- AI/ML with SLM knowledge (Small Language Models) Work Mode-WFO Work location- Chennai/Bangalore/Hyderabad Notice period- Immediate to 30 days max Role & responsibilities Architecture & Strategy - Define and own the enterprise architecture, standards, and roadmap for Small Language Model (SLM) development. - Design domain-specific SLMs optimized for accuracy, latency, cost, and scalability. - Drive architectural decisions for model selection, fine-tuning, compression, and inference optimization. - Ensure alignment of AI solutions with enterprise security, compliance, and governance requirements. Advanced Model Development - Lead the design, development, and deployment of ML, DL, and SLM-based solutions. - Apply deep mathematical and statistical knowledge to optimize model performance. - Demonstrate successful delivery of multiple production deployments with measurable business impact. - Provide architectural oversight for traditional ML, deep learning, and NLP-based systems. NLP & Language Modeling - Architect and guide solutions involving NLP, embeddings, transformers, and language models. - Lead fine-tuning and adaptation of language models for domain-specific use cases. - Establish best practices for prompt engineering, evaluation metrics, and performance monitoring. Technical & Platform Leadership - Provide technical authority in Python, scientific computing, and data processing frameworks. - Guide teams on the effective use of TensorFlow, PyTorch, and Keras. - Ensure high-quality analytical data access through complex and optimized SQL designs. - Oversee development in Linux and GPU-based environments. Cloud, MLOps & Production Readiness - Architect and govern ML/AI solutions on AWS or Azure platforms. - Define and enforce MLOps standards, including CI/C .
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