Full-Time

AI/ML Engineer

Datazymes

Datazymes

51-200 employees

Data platforms for integrating pharma data

No salary listed

Bengaluru, Karnataka, India

In Person

Category
AI & Machine Learning (1)
Required Skills
LLM
Kubernetes
MLOps
Python
NoSQL
TensorFlow
Neural Networks
PyTorch
SQL
Machine Learning
Docker
RAG
REST APIs
LangChain
DevOps
Databricks
Snowflake

Get referred to Datazymes

See people who can refer or advise you

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.

Datazymes builds data-driven digital platforms and apps for the pharmaceutical industry, integrating, managing, and securing data. It layers interactive, machine-driven analytics with human insight on top of the data platform. This setup lets pharma teams ask and answer complex questions without deep querying or coding skills, using ready-made analytics apps instead of custom code or long consulting projects. Their goal is to democratize data analysis in pharma by speeding insights and reducing reliance on rigid software or bespoke efforts.

Company Size

51-200

Company Stage

N/A

Total Funding

N/A

Headquarters

Philadelphia, Pennsylvania

Founded

2016

Get referred to Datazymes

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • Celero brings CRM, call planning, roster management, MDM, and data warehouse capabilities.
  • DataZymes listed eight Bengaluru open roles on August 19, 2026, signaling active hiring.
  • The August 18, 2026 homepage update highlights scaled pharma-grade analytics and automation.

What critics are saying

  • Tracxn reports no funding rounds, leaving DataZymes reliant on operating cash and customer revenue.
  • Celero integration on August 15, 2026 creates execution risk across clients, teams, and IP.
  • A failed pharma niche expansion would leave DataZymes exposed to entrenched Salesforce and Veeva rivals.

What makes Datazymes unique

  • DataZymes builds purpose-built pharma analytics, CRM, and commercial ops software.
  • The August 15, 2026 Celero acquisition adds SeeData Suite and U.S. pharma clients.
  • Its Bengaluru, Noida, and Philadelphia footprint supports delivery across India and American pharma teams.

Help us improve and share your feedback! Did you find this helpful?