Gen Ai Data Scientist

Company: Danta Technologies

Location: Irving, TX

Posted on: November 06

We are seeking a Generative AI Data Scientist to support our telecom client under Danta Technologies payroll. Visa sponsorship is available; however, we are unable to work on a C2C (Corp-to-Corp) basis for this position.

Key Skills -

Gen AI, Data modeling, AI/ML, PyTorch, PySpark, Data Science, SQL, Python, Pandas, Deep Learning, Machine Learning, LLM, NLP

We are seeking a highly skilled Data Scientist with expertise in Generative AI, AI/ML. The ideal candidate will have strong experience in developing, training, and deploying machine learning and deep learning models, along with hands-on skills in large language models (LLMs). This role involves working with complex datasets, building scalable models, and delivering actionable insights to drive business decisions.

Key Responsibilities

• Design, develop, and deploy machine learning and deep learning models for diverse business use cases.
• Work with Generative AI and LLMs (Large Language Models) to build innovative AI-driven solutions.
• Apply NLP techniques for text classification, summarization, entity recognition, and conversational AI.
• Perform data wrangling, cleaning, and transformation using Python, Pandas, and PySpark.
• Write optimized SQL queries for data extraction, transformation, and reporting.
• Build scalable AI pipelines and workflows using PyTorch, TensorFlow, or similar frameworks.
• Collaborate with cross-functional teams (Data Engineers, Product, Business Analysts) to deliver end-to-end solutions.
• Stay updated with the latest advancements in GenAI, ML/DL, and NLP to implement best practices and cutting-edge models.

Required Skills & Qualifications

• Strong experience in Data Science, AI/ML, and Generative AI.
• Hands-on expertise in Python, Pandas, PyTorch, PySpark.
• Solid background in Machine Learning, Deep Learning, and LLM-based solutions.
• Strong understanding of NLP techniques and frameworks.
• Proficiency in SQL for data querying and transformation.
• Experience in handling large-scale datasets and building production-ready ML pipelines.
• Strong problem-solving skills and ability to translate business problems into data-driven solutions.
• Excellent communication and collaboration skills.

Nice to Have

• Exposure to cloud platforms (AWS, GCP, Azure) for AI/ML model deployment.
• Familiarity with MLOps tools and practices.
• Experience with data visualization and BI tools.

Education:

• Bachelors,MS/ PhD in Data Science, Computer Science, Statistics, Math, Economics, Engineering, Business Analytics, or a related field.