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Senior AI Engineer

9 hours, 35 minutes ago
India
Full-time
Lead
AI Engineer
Software Development
Apache Spark Azure CI/CD Databricks Deep Learning Generative AI LLM Machine Learning MLOps NLP Python Transformers
Apply Now
Enable Data

Enable Data

Enable Data is a leading provider of advanced data, software, and cloud engineering services, specializing in the implementation of large-scale data solutions such as Hadoop clusters and SAS applications to support critical business operations in the h...

IT Services
11-50
Founded 2018
View All Jobs 6

Description

  • Design, build, and deploy end-to-end AI and machine learning solutions for GenAI, NLP, and healthcare applications.
  • Develop and productionize LLM workflows, including prompt engineering, evaluation frameworks, fine-tuning, and Retrieval-Augmented Generation systems.
  • Translate ambiguous business and healthcare problems into structured data science solutions with clear success metrics.
  • Own the full model lifecycle from data preparation and experimentation through validation, deployment, monitoring, and continuous improvement.
  • Work with large-scale structured and unstructured healthcare data, including clinical, operational, claims, member, and provider datasets.
  • Partner with product, engineering, business, clinical, and compliance stakeholders to deliver scalable, explainable, and secure solutions.
  • Lead, mentor, and develop data science and AI engineering team members across multiple geographies.
  • Drive best practices in model development, code quality, documentation, reproducibility, and responsible AI.
  • Optimize AI systems for accuracy, performance, latency, reliability, cost, and maintainability.
  • Operate effectively in a matrix organization and influence across teams.

Requirements

  • 8+ years of experience developing and implementing end-to-end solutions using machine learning and AI tools.
  • 5+ years of hands-on experience in NLP, deep learning, and transformer-based models.
  • 2+ years of practical experience building end-to-end Generative AI solutions, including LLM workflows, fine-tuning, evaluation, and RAG systems.
  • Strong proficiency in Python and PySpark is mandatory.
  • Proven experience building and deploying production-grade ML or AI systems at scale.
  • Strong business acumen with the ability to convert complex business problems into practical AI solutions that deliver measurable impact.
  • 2+ years of experience leading, mentoring, or managing high-performing data science teams is highly desirable.
  • Excellent written and verbal communication skills for both technical and non-technical stakeholders.
  • Experience working in a matrix organization.
  • Healthcare domain experience is highly desirable, especially in clinical AI, payer/provider analytics, population health, claims, care management, medical operations, or health data platforms.
  • Experience with healthcare data standards, privacy requirements, regulated environments, or responsible AI considerations in healthcare.
  • Hands-on experience with Azure, Databricks, or equivalent cloud and data platforms.
  • Working knowledge of MLOps, CI/CD for ML, model monitoring, model governance, and scalable deployment patterns.
  • Experience optimizing AI systems for accuracy, performance, latency, reliability, cost, and maintainability.
  • Exposure to multimodal AI, knowledge graphs, medical text analytics, or clinical decision support use cases is a plus.

Interested in this position?

Apply directly on the company website

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