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Datazymes

Data platforms for integrating pharma data

AI/ML Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 3 years of work experience in Python programming for artificial intelligence, machine learning, deep learning, and generative artificial intelligence model development.
  • Proficiency with TensorFlow or PyTorch, Hugging Face Transformers, and LangChain libraries.
  • Hands-on experience with natural language processing, large language model prompt design and fine-tuning, embeddings, vector databases, and agentic frameworks.
  • Strong understanding of machine-learning algorithms, probability, and optimization techniques.
  • At least 6 years of experience deploying models with Docker, Kubernetes, and cloud services including AWS Bedrock, Amazon SageMaker, and Google Cloud Vertex AI through application programming interfaces, and using machine-learning operations and continuous integration/continuous delivery pipelines.
  • Familiarity with retrieval-augmented generation, cache-augmented generation, retrieval-integrated generation, and low-rank adaptation fine-tuning.
  • Ability to write scalable, production-ready machine-learning code and optimize model inference.
  • Experience developing machine-learning pipelines for text classification, summarization, and chat agents.
  • Prior experience with SQL and NoSQL databases, Snowflake, and Databricks.

About the Company

Datazymes

Data platforms for integrating pharma data

Datazymes builds data-driven platforms and applications for the pharmaceutical industry, integrating, managing, and securing data. It adds interactive analytics apps that enable machine-driven, human-assisted analysis without requiring advanced querying or coding. Its approach combines a flexible, pharma-focused data platform with ready-to-use analytics apps, avoiding rigid software or long consulting cycles. The goal is to help pharma teams turn data into actionable insights quickly and easily through accessible tools.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Philadelphia, PA
Founded
2016

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