Statusneo - Data Scientist

Posted Yesterday
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Mid level
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Develop, train, and deploy generative AI and machine learning models for signature verification, fraud detection, and identity validation. Perform data cleaning, feature engineering, experiment design, A/B testing, and collaborate with product and engineering teams to integrate models into production.
Summary Generated by Built In
Job Title: Data Scientist – Gen AI & Machine Learning

Location: Bengaluru, India
Company: StatusNeo
Experience Level: 3–7 years
Employment Type: Full-time

About StatusNeo

StatusNeo is a modern consulting firm driven by a passion for building intelligent digital solutions. We leverage cutting-edge technologies and agile methodologies to deliver data-driven products and services that drive real business outcomes for our global clients.

We are currently looking for a Data Scientist with hands-on experience in Generative AI, Machine Learning, and Signature Verification to join our growing team in Bengaluru.

Key Responsibilities
  • Design, develop, and deploy machine learning and generative AI models to solve real-world problems.

  • Build and optimize algorithms for signature verification, fraud detection, and identity validation.

  • Work with large volumes of structured and unstructured data, performing data wrangling, cleaning, and feature engineering.

  • Collaborate with cross-functional teams including product managers, engineers, and domain experts to integrate AI models into production systems.

  • Design experiments, perform A/B testing, and evaluate model performance using standard metrics.

Required Skills & Experience
  • 3–7 years of experience in Data Science, Machine Learning, or related roles.

  • Strong knowledge of Python, and experience with libraries like TensorFlow, PyTorch, scikit-learn, and OpenCV.

  • Solid understanding of Generative AI models (e.g., GANs, VAEs, diffusion models, or transformer-based models).

  • Hands-on experience in signature verification techniques, including both static and dynamic signature analysis.

  • Strong background in statistical modeling, computer vision, and deep learning.

  • Proficiency in working with cloud platforms like AWS, GCP, or Azure.

Preferred Qualifications
  • Master’s or Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.

  • Experience working on identity management or document verification systems.

  • Prior experience in a consulting environment or fast-paced product teams.

Skills Required

  • 3-7 years of experience in Data Science or Machine Learning
  • Proficiency in Python
  • Experience with TensorFlow
  • Experience with PyTorch
  • Experience with scikit-learn
  • Experience with OpenCV
  • Hands-on experience with Generative AI (GANs, VAEs, diffusion, transformer-based models)
  • Hands-on experience in signature verification (static and dynamic)
  • Strong background in statistical modeling, computer vision, and deep learning
  • Experience working with large structured and unstructured datasets, data wrangling, and feature engineering
  • Experience deploying ML models and integrating with production systems
  • Proficiency with cloud platforms (AWS, GCP, or Azure)
  • Designing experiments and evaluating model performance (A/B testing, metrics)
  • Master's or Bachelor's in Computer Science, Data Science, Statistics, or related field
  • Experience with identity management or document verification systems
  • Prior consulting or fast-paced product team experience
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The Company
100 Employees

What We Do

NextHire Consulting is an AI-driven recruiting platform that streamlines the hiring process for companies. By leveraging AI agents for sourcing, screening, and interviewing, the platform enables teams to focus on pre-qualified finalists. It provides data-driven insights into candidate soft skills and behavioral styles, aiming to disrupt traditional recruitment models with efficient, automated, and science-based talent acquisition solutions for businesses of all sizes.

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