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4 часа назад

Associate Consultant, AI Engineer (Life Sciences)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Associate Consultant, AI Engineer (Life Sciences): Designing, developing, and deploying AI solutions tailored to pharmaceutical clients with an accent on AI/ML pipeline implementation, feature engineering, and scalable AI service deployment. Focus on leveraging GenAI and Agentic AI frameworks for commercial automation and translating complex life sciences challenges into AI-driven innovations.

Location: Hybrid, based in Bengaluru, Karnataka, India

Company

hirify.global helps life sciences companies optimize commercialization through strategic insight, advanced analytics, and technology, with 10 global offices.

What you will do

  • Design and implement AI/ML pipelines that solve real-world problems in life sciences.
  • Collaborate with domain consultants to understand client requirements and develop tailored AI solutions.
  • Lead efforts in data ingestion, feature engineering, and model development across various data sources.
  • Build and deploy scalable AI services and LLM-based copilots.
  • Implement GenAI and Agentic AI frameworks for commercial automation.
  • Present technical concepts and outcomes to internal stakeholders and client teams.

Requirements

  • 2+ years of experience in AI/ML engineering.
  • Proficient in Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow, LangChain, Hugging Face).
  • Experience building and deploying machine learning models in production.
  • Strong understanding of MLOps tools and practices (MLflow, Docker, Git, CI/CD).
  • Exposure to LLMs, transformers, and retrieval-augmented generation (RAG) techniques.
  • Experience working with cloud environments (AWS, Azure preferred, Databricks).

Culture & Benefits

  • Join a highly collaborative, values-driven team.
  • Focus on technical excellence, analytical rigor, and personal growth.
  • Opportunity to make an impact in AI innovation and commercialization strategies for life sciences.

Hiring process

  • AI tools may be used to support parts of the hiring process, such as reviewing applications.
  • Final hiring decisions are ultimately made by humans.

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