Overview
Skills
Job Details
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:
Key Responsibilities
- Architect End-to-End Solutions: Design scalable, secure, and efficient cloud-based analytical architectures that leverage modern data platforms, orchestration frameworks, and AI/ML models.
- Data Pipeline Design & Integration: Lead the design of data ingestion, transformation, and orchestration pipelines using tools such as Databricks, Airflow, Azure Data Factory, or equivalent cloud-native technologies.
- AI/ML Enablement: Partner with data scientists and AI engineers to operationalize natural language processing (NLP), machine learning, and generative AI models for automation and insight generation in contact center operations.
- Automation & Efficiency Solutions: Develop and integrate low-code/no-code workflow tools and automation platforms to streamline business processes and enhance agent and customer experiences.
- Solution Governance: Establish architectural standards, documentation, and best practices to ensure security, scalability, and performance across data and AI ecosystems.
- Collaboration & Stakeholder Engagement: Partner cross-functionally with business leaders, outsourced parties, data engineers, UX/UI designers, and operations teams to translate business problems into actionable, technical designs.
Preferred Qualifications
- Proven experience architecting cloud-based analytical ecosystems (Azure, AWS, or Google Cloud Platform).
- Hands-on experience with data pipelines, orchestration, and automation (e.g. AWS Glue, Azure DataFactory, Alteryx).
- Strong understanding of machine learning, natural language processing (NLP), and conversational AI applications.
- Familiarity with low-code/no-code platforms and workflow automation tools (e.g., Power Automate, Atlassian).
- Experience designing or collaborating on user interface (UI) / user experience (UX) solutions that make analytics accessible to non-technical users.
- Excellent communication skills, with the ability to convey complex technical concepts to executive and non-technical audiences in mock ups that translated to CAD/TADs.
- 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.