
(Apply Now) Manager
3 weeks ago
Job Description
Inviting applications for the role of 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.
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