Data Scientist ( AI Engineering )

Position: Data Scientist, AI Engineering
Location: Centennial, 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:
Mandatory Skills: AI, ML, Python, SQL, LLM, NLP, RAG, Vector

Job Description:
As a Data Scientist, AI Engineering on the Operational Analytics & Insights team, you ll work in a fast-paced, collaborative environment to develop data-driven solutions to Client s business problems. You ll have the unique opportunity to leverage and work with cutting-edge AI technologies, including real-time transcriptions and other advanced AI applications. You ll be empowered to think of new approaches, use analytical, statistical, and programming skills to analyze and interpret data sets, and apply your AI expertise at scale. This role offers an excellent opportunity to lead projects, drive innovative solutions, and further advance your skills and career with Client, all while making a significant impact on our operations and customer experiences.

WHAT OUR DATA SCIENTISTS ENJOY MOST

• Leveraging knowledge in analytical and statistical algorithms to assist stakeholders in improving their business
• Partnering on the design and implementation of statistical data quality procedures for existing and new data sources
• Communicating complex data science solutions, concepts, and analyses to team members and business leaders
• Presenting data insights & recommendations to key stakeholders
• Establishing links across existing data sources and finding new, interesting data correlations
• Ensuring testing and validation are components of all analytics solutions

You ll work in a dynamic office environment. You ll excel in this role if you are a self-starter who can work independently as well as in a team. If you re comfortable presenting data and findings in front of team members & stakeholders and have excellent problem-solving skills, this could be the role for you.

Required Qualifications
Experience:

• Data analytics experience: 3 years; Programming experience: 2 years

Education:

• Bachelor s degree in computer science, statistics, or operations research, or equivalent combination of education and experience

Skills:

• Strong proficiency in predictive analytics, prescriptive analytics, AI, machine learning, and statistical modeling
• Proficiency in programming languages such as Python and SQL for data analysis and model development.
• Hands-on experience with Large Language Models (LLMs) (finetuning, retraining, and prompt engineering)
• Working with text data including Natural Language Processing (NLP) techniques such as tokenization, lemmatization, sentiment analysis, text classification, topic modeling, and entity recognition
• Hands-on experience with advanced AI techniques such as Retrieval-Augmented Generation (RAG), vector databases, and LLM integration for enhanced information retrieval and generation, GPT, and BERT

Preferred Qualifications:
Experience:

• ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and NLP libraries like spaCy or Hugging Face Transformers

Skills:

• Strong understanding of Machine Learning concepts including supervised and unsupervised learning, model training, evaluation, and deployment

Abilities:

• Develop and demonstrated knowledge of deploying ML models in cloud environments (Azure, AWS, or similar)
• Explain complex AI concepts to non-technical audience

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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