About Us:

At cGxPTech, we are building next-generation AI solutions for the Life Sciences industry, focused on improving efforts in drug discovery and development, data intelligence, clinical insights, and data-driven decision-making.

Job Description:

We are looking for a skilled Machine Learning Engineer / Data Scientist to design, develop, and deploy AI models for life sciences applications. This role involves working with structured and unstructured data, building predictive models, and integrating AI into real-world products.

Responsibilities:
Design, develop, and optimize machine learning models for life sciences use cases.
Work with chemistry manufacturing controls, clinical, regulatory, or business data (structured & unstructured).
Build predictive models (classification, recommendation, NLP).
Develop AI-powered features such as candidate-job matching, resume parsing, or data insights.
Clean, preprocess, and analyze large datasets.
Deploy models using cloud platforms (AWS, Azure, or GCP).
Collaborate with product, engineering, and domain experts.




Ensure data integrity, compliance, and model performance.

Requirements:
Bachelor's or Master's in Computer Science, Data Science, Bioinformatics, or related field.
1–5+ years of experience in Machine Learning/Data Science.
Solid programming skills in Python (NumPy, Pandas, Scikit-learn).
Experience with ML frameworks (TensorFlow, PyTorch, or similar).
Knowledge of NLP techniques (resume parsing, text classification, etc.).
Experience working with APIs and data pipelines.
Familiarity with cloud platforms (AWS/GCP/Azure).

Preferred Qualifications:
Experience in Life Sciences / Healthcare / Pharma domain.
Knowledge of GxP, clinical data, or regulatory environments.
Experience with LLMs (OpenAI, Hugging Face, etc.).
Experience in recommendation systems or job matching algorithms.
Exposure to MLOps and model deployment pipelines.

What We Offer:
Chance to build AI prod

📌 Ml Engineer Hyderabad
🏢 Katalyst Healthcares & Life Sciences
📍 Hyderabad