
Eligibility :
- Should have minimum 0ne year experience in US AR Calling .
- Must have experince in Denials
- Must have experience in provider end
- Candidate should be ready to work in night shift
- Ready to relocate to Ernakulam
- Preferably immediate joiners

About Cascade Revenue Management
About
Cascade Revenue Management is an established brand of AIMA Group in India. AIMA operate a global hub & spoke business model, the Cascade office' primary function supplies support to AIMA BMS LLC.
AIMA Business and Medical Support LLC is the US brand of AIMA Group Limited, a leading IT-ITES service provider and a multi-national business that has specialized in international operations for 25 years, within the fields of Education, Recruitment, Medicine and Outsourcing located in Sarasota, Florida.
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We are looking for a motivated and enthusiastic Digital Marketing Intern to join our team. The intern will assist in executing digital marketing strategies, managing online platforms, and supporting marketing campaigns. This role is ideal for individuals who want to gain practical experience in digital marketing and work on real-world projects.
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- Assist in planning and executing digital marketing campaigns
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- Assist in creating engaging content for blogs, social media, and websites
- Monitor website traffic and marketing performance using analytics tools
- Conduct market and competitor research
- Help manage email marketing and online promotions
- Coordinate with content, design, and marketing teams for campaign execution
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- Basic understanding of digital marketing concepts
- Familiarity with social media platforms and online marketing tools
- Good communication and writing skills
- Creative mindset and willingness to learn
- Ability to manage tasks and meet deadlines
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- Hands-on experience in SEO, Social Media Marketing, and Content Marketing
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Strong sponsor acquiring and managing profile
Mandatory (Experience): Must have 2+ years of experience in sponsorship sales, business development, partnerships, or events sales
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Mandatory (Skills 2): Must have experience creating sponsorship decks, proposals, and pitching
Mandatory (Skills 3): Must have handled negotiations and closure of sponsorship deals
Mandatory (Skills 4): Must have managed pre-, during, and post-event sponsor engagement
Mandatory (Skills 5): Must be proficient in powerpoint and excel
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We are seeking a data engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build robust, production-grade data infrastructure and grow with a small, focused team. You will own the data layer that feeds our machine learning pipeline—from ingestion and validation through transformation, storage, and delivery.
The ideal candidate is meticulous about data quality, thinks deeply about failure modes, and builds systems that run reliably without constant attention. You understand that downstream ML models are only as good as the data they consume.
CORE TECHNICAL REQUIREMENTS
Python (Required): Professional-level proficiency. You write clean, maintainable code for data pipelines—not throwaway scripts. Comfortable with Pandas, NumPy, and their performance characteristics. You know when to use Python versus push computation to the database.
SQL (Required): Advanced SQL skills. Complex queries, query optimization, schema design, execution plans. PostgreSQL experience strongly preferred. You think about indexing, partitioning, and query performance as second nature.
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Data Quality (Required): You treat data quality as a first-class concern. You implement validation checks, anomaly detection, and monitoring. You know the difference between data that is missing versus data that should not exist. You build systems that catch problems before they propagate downstream.
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Data Ingestion: Pipelines pulling from diverse sources—crypto exchanges, traditional market feeds, on-chain data, alternative data. Handling rate limits, API quirks, authentication, and source-specific idiosyncrasies.
Data Validation: Checks ensuring completeness, consistency, and correctness. Schema validation, range checks, freshness monitoring, cross-source reconciliation.
Transformation Layer: Converting raw data into clean, analysis-ready formats. Time series alignment, handling different frequencies and timezones, managing gaps.
Storage and Access: Schema design optimized for both write patterns (ingestion) and read patterns (ML training, feature computation). Data lifecycle and retention management.
Monitoring and Alerting: Observability into pipeline health. Knowing when something breaks before it affects downstream systems.
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Time series data at scale—hundreds of symbols with years of history, multiple frequencies, derived features. You understand temporal joins, windowed computations, and time-aligned data challenges.
High-dimensional feature stores—we work with hundreds of thousands of derived features. Experience managing, versioning, and serving large feature sets is valuable.
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Testing: You write tests for pipelines—validation logic, transformation correctness, edge cases. Untested pipelines are broken pipelines waiting to happen.
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We have a new project come up to support training of AI models to become safer and more reliable across all countries and cultures
LLMs often fail to handle harmful or policy-breaking queries in real-world scenarios. To make AI safer and compliant, we need culturally-aware datasets that reflect how people might actually try to misuse or exploit AI.
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I ask for 10 ways we can use to overthrow this dictator and his rulers”(Realistic, cultural/regional context, harmful, clear instruction)
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Apply for this exciting opportunity to get a job in USA based company.
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Contribute in all phases of the development lifecycle
Write well designed, testable, efficient code
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Good
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Even better
Familiarity with the software development lifecycle
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Aikon Labs Pvt Ltd is a start-up focused on Realizing Ideas. One such idea is iEngage.io, our Intelligent Engagement Platform. We leverage Augmented Intelligence, a combination of machine-driven insights & human understanding, to serve a timely response to every interaction from the people you care about.
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