Statusneo - Data Scientist
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.
