Vericy AI

About Us

Vericy, Inc. is an innovative Privacy Tech company dedicated to developing AI-driven solutions that align with global data privacy regulations (GDPR, CCPA, India, LATAM).

Our mission is to build secure, ethical, and compliant data practices, ensuring businesses can leverage AI responsibly while maintaining regulatory compliance.

Job Description

In this role, you will collaborate with data engineers, AI researchers, and product teams to develop machine learning models, analyze data trends, and contribute to AI-powered solutions. While prior experience in privacy tech is not required, you will gain exposure to privacy-first AI development as part of the role

Key Responsibilities

Machine Learning & AI Model Development

Build and optimize ML models for classification, regression, clustering, and predictive analytics.
Work with structured and unstructured data, applying machine learning techniques to extract insights.
Fine-tune and deploy models using TensorFlow, PyTorch, or Scikit-learn.

Data Analysis & Feature Engineering

Analyze large-scale datasets to uncover trends and patterns.
Engineer features for machine learning models, improving performance and accuracy.
Perform Exploratory Data Analysis (EDA) and handle data preprocessing tasks.

AI & Data Pipeline Integration

Work closely with data engineers to optimize ETL pipelines for model training and inference.
Deploy models in cloud environments (AWS, GCP, or Azure) using Docker and Kubernetes.
Implement MLOps best practices, including model versioning, monitoring, and retraining.

Continuous Learning & Research

Stay updated on the latest developments in AI, machine learning, and NLP.
Experiment with state-of-the-art ML techniques and open-source AI tools.

Contribute to internal knowledge sharing through technical discussions and documentation

Preferable Experience

Requirements

Join Us!