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.