What are the responsibilities and job description for the AI/ ML Analytics and Automation Engineer - Greenwood Village CO (In-Person Interview required) position at R Systems, Inc.?
In-person interview required at Denver, CO
3 to 5 years
About R Systems:
R Systems is a leading digital product engineering company that designs and develops chip-to-cloud software products, platforms, and digital experiences that empower its clients to achieve higher revenues and operational efficiency. Our product mindset and engineering capabilities in Cloud, Data, AI, and CX enable us to serve key players in the high-tech industry, including ISVs, SaaS, and Internet companies, as well as product companies in telecom, media, finance, manufacturing, and health verticals. We Are Great Place to Work Certified in 10 countries with a full-time workforce [India, USA, Canada, Poland, Romania, Moldova, Indonesia, Singapore, Malaysia & Thailand]! We are recognized as one of the Best Tech Brands 2024 by the Times Group and India's Top 500 Value Creators 2023 by Dun & Bradstreet.
Company Link:
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.
1 Strong proficiency in machine learning and data engineering
2. Expertise in developing and deploying AI/ML models
3. Experience with Large Language Models (LLMs) and natural language processing
4. Proficiency in programming languages such as Python or R
5. Advanced SQL skills for data manipulation and querying
6. Familiarity with data pipeline tools and frameworks
7. Ability to collaborate with cross-functional teams
8. Strong problem-solving and analytical skills
9. Knowledge of cloud platforms and services
- 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.
Salary : $65 - $70