Position: AI/ML Analytics Engineer
Location: Denver, CO
Duration: Long Term
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 Requirement:
Brief Job Summary/ Role Description:
The AI Analytics Engineer will design and optimize AI/ML models to enhance Client'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.
Technical Skills:
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 10. Understanding of Client's business objectives and strategy 11. Robust prompting strategies and results validation.
Good to Have:
Call Center Experience 2. Telecommunication / Cable experience. 3. Agile 4. React and interface experience. 5. Experience in sentiment analysis and text analytics 6. Knowledge of AI-driven automation tools 7. Experience with AI model interpretability and explainability. 8. Understanding of data privacy regulations related to AI 9. Graph Analytics: Employing graph-based models to analyze relationships and patterns in complex networks. 10. Natural Language Processing (NLP) Advances: Utilizing state-of-the-art NLP for sentiment analysis, chatbots, and language translation. 11. Explainable AI (XAI): Enhancing transparency by making AI model decisions understandable to humans. 12. Graph Analytics: Employing graph-based models to analyze relationships and patterns in complex networks. 13. Automated Machine Learning (AutoML): Streamlining model development by automating feature selection, model selection, and hyperparameter tuning.
Other Skill combination requirement:
Excellent communication skills and ability to present to an executive audience. 2. Critical Thinking: Ability to analyze complex problems and develop innovative solutions. 3. Collaboration: Teamwork skills to work effectively with diverse groups. 4. Adaptability: Flexibility to adjust to new challenges and technologies. 5. Project Management: Capability to manage projects, meet deadlines, and ensure quality. 6. Leadership: Ability to guide teams and projects towards successful outcomes. 7. Problem-Solving: Skill in identifying issues and implementing practical solutions. 8. Time Management: Efficiently managing time and resources to maximize productivity. 9. Cultural Awareness: Understanding and respecting diversity in a global work environment. 10. Ethical Judgment: Commitment to ethical practices and data privacy. 11. Mentor and support junior analyst on AI / ML practices.
Education & Years of Experience:
8 years working experience in an data, analytics, AI /ML / Development.
Bachelors Required / Masters or PHD preferred.
Why Join R Systems?
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!
R Systems is an equal opportunity employer that does not discriminate against any employee or job applicant because of race, color, religion, national origin, sex, physical or mental disability, age, or any other characteristic protected by law. We strive to build a team that reflects the diverse communities we serve, and we actively encourage applications from individuals of all backgrounds and experiences. Our commitment to equal opportunity extends to all aspects of employment, including recruitment, hiring, training, promotion, and benefits.
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