AI Analytics Engineer
Role details
Job location
Tech stack
Job description
The AI Analytics Engineer will design and optimize AI/ML models to enhance Charter's decision-making capabilities. This role involves creating scalable solutions, managing data pipelines, and integrating advanced analytics into business processes. The ideal candidate will have expertise in machine learning, data engineering, and Charter's objectives.
Additionally, they will leverage Large Language Models (LLMs) for natural language processing, improving customer interactions and automating content generation. Staying updated on LLM advancements to innovate solutions that align with Charter's goals is essential., * Frequent Internal Hackathons: Engage in dynamic competitions with exciting prizes to keep your skills sharp.
- Cultural Celebrations: Strengthen our familial bonds through shared celebrations, fostering a sense of community.
- Diverse Project Exposure: Work on a variety of projects across sectors like Healthcare, Banking, e-commerce, and Retail, collaborating with leading global brands.
- Centre of Excellence (COE): Benefit from technical guidance and upskilling opportunities provided by our team of technology experts, helping you navigate your career path.
- E-Learning Platform: Gain access to comprehensive e-learning platforms coupled with a robust mentorship program to enhance your skills.
- Open Door Policy: Embrace a culture of mutual support, respect, and open dialogue, promoting a collaborative work environment.
If you are passionate and excited about working in a fast-paced, innovative environment, we would love to hear from you!
Requirements
1 Strong proficiency in machine learning and data engineering
- Expertise in developing and deploying AI/ML models
- Experience with Large Language Models (LLMs) and natural language processing
- Proficiency in programming languages such as Python or R
- Advanced SQL skills for data manipulation and querying
- Familiarity with data pipeline tools and frameworks
- Ability to collaborate with cross-functional teams
- Strong problem-solving and analytical skills
- Knowledge of cloud platforms and services