Job Description

Key Responsibilities

As a Data Scientist, you will:

Collaborate closely with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge

generative AI algorithms

that solve real-world business challenges Engage directly with customers to understand their business needs, assist in implementing generative AI solutions, and deliver technical briefings, deep-dive sessions, and adoption strategies Create and share best practices through tutorials, blog posts, sample code, presentations, and other technical content tailored for diverse audiences--from engineers to executive stakeholders Provide customer and market feedback to product and engineering teams, contributing to the continuous improvement of products and services

Basic Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field Several years of hands-on experience in building machine learning models for real-world business applications Strong foundation in one or more of the following areas: Algorithms and data structures Natural language processing or parsing Numerical optimization Data mining Parallel and distributed computing High-performance computing Deep learning and neural networks Proficiency in

Python

with hands-on experience using deep learning frameworks such as

TensorFlow, Keras, PyTorch

, or

MXNet

Preferred Qualifications (Optional to Include)

Experience working with LLMs and generative AI techniques Familiarity with cloud platforms (AWS, GCP, or Azure) Experience in customer-facing roles or technical consulting is a plus
Job Type: Full-time

Application Question(s):

How soon can you join us ? What's your expected salary?
Experience:

Data science : 4 years (Required) * Generative AI: 3 years (Required)