Manager - Data Scientist

Manager, Data Scientist!

In this role, we are seeking a highly skilled and experienced Generative AI Specialist for developing and implementing cutting-edge generative models to solve complex problems using LLM technology. Need to collaborate with cross-functional teams, conduct research, and deliver innovative solutions in the field of generative artificial intelligence.

Responsibilities

• Participating and collaborating with operation teams in the organization to understand the business requirements and to deliver scalable solutions.

• Conduct thorough research on state-of-the-art generative AI techniques, stay up to date with the latest advancements, and apply them to enhance the capabilities of LLM models.

• Ability to create models using Classification and Regression techniques and perform Hypothesis Testing and Feature selection.

• Ability to use creativity to spot trends and tease out patterns in large datasets.

• Strong analytical and problem-solving skills, and ability to set goals and meet deadlines in fast paced working environment.

• Analyze user behavior, conversion data, customer journeys to generate hypothesis and build optimization plans and provide insights for feature improvements.

• Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies.

• Continuously think on how to improve the analytics infrastructure for the team and automate processes.

• Perform deep dive analyses on key business trends from different perspectives and package the insights into easily consumable presentations and documents.

• Provide thought leadership within the marketing analytics community.

Qualifications we seek in you!

Minimum Qualifications

• Master's or Bachelor's degree in Statistics, Mathematics, Computer Science, or another quantitative field.

• Experience using computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.

• Experience in using industry standard AI/ML libraries i.e., Sklearn, Keras, Tensorflow, AutoML etc.

• Solid understanding of generative AI concepts, frameworks, and techniques, with hands-on experience in developing and deploying generative models.

• Proficiency in working with Large Language Models (LLMs), such as GPT-3, GPT-4, or similar models.

• Strong programming skills in languages such as Python and experience with deep learning libraries/frameworks (e.g., TensorFlow, PyTorch).

Preferred Qualifications/ Skills

• Effective communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.

• Familiarity with natural language processing (NLP) and understanding of various NLP tasks is a plus.

• Prior experience in handling LLM use cases or working with large-scale language models is highly desirable.

• Ensure data quality and integrity through best practices and compliance to framework, architecture, and coding standards.

• Experience with cloud computing platforms (preferably Azure) for deploying and managing machine learning models.

• Hands-on experience with generative AI models and techniques such as GANs, VAEs, and transformer models.