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Exchange Officer
Deferred is a No Fee 1031 Exchange intermediary that shares the interest earned on your funds. They offer secure and transparent 1031 exchange services with FDIC insurance and advanced fraud prevention.
Benefits:
Equity participation
401(k) plan including matching up to 3.5%
Health, dental, and vision coverage with a flexible benefits stipend
Generous paid time off and holidays
Opportunities for growth and professional development
Education Requirements:
Bachelor’s degree in Business, Real Estate, Finance, Accounting or a related field (or equivalent work experience)
Experience Requirements:
3+ years of experience with 1031 exchanges
Strong knowledge of IRS Section 1031 regulations, including forward, reverse, and improvement exchanges
Other Requirements:
Preference given to candidates with FEA/CES certification
Responsibilities:
Coordinate all phases of 1031 exchange transactions, including forward, reverse, and improvement exchanges
Serve as the primary point of contact for clients, providing guidance on the 1031 exchange process and ensuring their needs are met
Review and prepare exchange documents, ensuring compliance with IRS regulations and company policies
Manage client accounts, including timelines, fund transfers, and communications with escrow agents, title companies, and attorneys
Resolve complex issues and respond to client inquiries with expertise and a customer-centric approachUtilize and contribute to the development of the company's tech-enabled tools to improve transaction efficiencyStay up-to-date on 1031 exchange regulations and industry trends to provide accurate advice and solutionsCollaborate with internal teams (e.g., tech, legal, compliance) to streamline operations and enhance client experience
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Outbound Growth Specialist
Deferred is a No Fee 1031 Exchange intermediary that shares the interest earned on your funds. They offer secure and transparent 1031 exchange services with FDIC insurance and advanced fraud prevention.
Benefits:
Equity participation
401(k) plan including matching up to 3.5%
Health, dental, and vision coverage with a flexible benefits stipend
Generous paid time off and holidays
Opportunities for growth and professional development
Education Requirements:
Bachelor’s degree in Business, Marketing, Finance, or a related field
Experience Requirements:
Prior sales, SDR, or cold-calling experience
Experience in real estate, finance, or startups
Responsibilities:
Cold Calling & Outreach – Engage real estate brokers, attorneys, CPAs, and investors to introduce Deferred’s 1031 exchange services.
Prospecting & Lead Qualification – Identify potential partners and investors who can benefit from our No Fee Exchange solution.
Sales Pipeline Management – Track and nurture leads using CRM tools, ensuring steady follow-ups and engagement.
Email & SMS Campaigns – Help refine messaging to increase engagement and conversions.
Market Research – Gather insights on competitors and customer pain points to refine our sales strategy.
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AI研究開発職
Realca Co., Ltd. develops real-time AI systems for applications and the web, offering services like AI image recognition PoC and participating in AI research and development projects.
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IT技術職
Realca Co., Ltd. develops real-time AI systems for applications and the web, offering services like AI image recognition PoC and participating in AI research and development projects.
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Backend Software Engineer
Smartan is an AI fitness tool offering personalized training, real-time feedback, and smart equipment maintenance for gyms and individuals.
Responsibilities:
Design, develop, and maintain server-side applications and APIs for web and mobile platforms.
Collaborate with front-end developers, product managers, and data scientists to integrate user-facing elements with backend logic.
Optimize application performance for speed and scalability.
Ensure data security and implement best practices for backend architecture.
Work with databases, designing schemas, writing queries, and managing data efficiently. Troubleshoot, debug, and resolve backend issues in a timely manner. Mentor junior developers and review code to maintain high-quality standards. Stay updated on the latest trends and tools in backend development and cloud computing.
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Embedded Engineer (Sensors & PCB Design)
Smartan is an AI fitness tool offering personalized training, real-time feedback, and smart equipment maintenance for gyms and individuals.
Responsibilities:
Design, develop, and optimize embedded systems for sensor integration in fitness equipment.
Implement and test a variety of sensors (e.g., force, motion, proximity, and pressure sensors) to ensure high accuracy and reliability.
Create schematics and design PCBs for embedded systems, considering size, power efficiency, and cost.
Collaborate with cross-functional teams to ensure seamless integration of hardware with software systems. Prototype, debug, and validate hardware components, identifying and solving design and implementation challenges. Develop firmware for sensor communication and data acquisition. Conduct performance testing of sensors and PCBs, ensuring compliance with industry standards. Stay updated on the latest sensor and embedded technology trends to integrate innovative solutions into our products. Prepare and maintain technical documentation, including design files, test results, and user manuals.
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ML Ops Engineer
Smartan is an AI fitness tool offering personalized training, real-time feedback, and smart equipment maintenance for gyms and individuals.
Responsibilities:
Design and implement end-to-end MLOps pipelines for model development, training, and deployment
Build and maintain scalable AI training and serving infrastructure
Create automated CI/CD pipelines specifically tuned for deep learning models
Implement comprehensive monitoring systems for model performance and system health
Develop scalable solutions for efficient serving of large AI models in production Collaborate with AI Engineers to optimize model deployment workflows Set up and maintain model registry and versioning systems Implement distributed training environments and data pipelines Design and maintain testing frameworks for AI systems Establish metrics collection and visualization for model performance Create reproducible environments for AI development Optimize GPU/TPU resource utilization and management Implement disaster recovery and high availability for AI systems Set up distributed training environments for large-scale models Implement efficient data pipelines for training and inference
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Computer Vision Specialist
Smartan is an AI fitness tool offering personalized training, real-time feedback, and smart equipment maintenance for gyms and individuals.
Responsibilities:
Develop and deploy advanced image and video processing algorithms with a focus on real-time performance.
Utilize libraries like OpenCV, YOLO, TensorFlow, and PyTorch for object detection, recognition, and tracking.
Optimize image processing workflows for latency-sensitive applications on edge devices.
Train, fine-tune, and deploy machine learning (ML) and deep learning (DL) models on platforms like Jetson Nano and Raspberry Pi.
Implement AI models for computer vision tasks, including object detection, segmentation, and anomaly detection. Leverage hardware acceleration (e.g., NVIDIA TensorRT) for performance optimization. Interface SBCs with peripheral devices like cameras, sensors, and actuators for seamless system integration. Design and implement real-time processing pipelines for image and video analytics applications. Optimize algorithms for performance, energy efficiency, and memory utilization on embedded platforms. Conduct profiling and performance tuning of ML/DL models on edge devices. Conduct rigorous testing of real-time image processing and AI systems under various environmental conditions. Ensure systems meet accuracy, latency, and reliability requirements for deployment in real-world scenarios. Collaborate with AI researchers, software developers, and hardware engineers to deliver high-impact solutions. Create detailed documentation for system designs, algorithms, and deployment processes.
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Senior Data Engineer in Computer Vision
enliteAI is a technology provider for Artificial Intelligence specialized in Reinforcement Learning and Computer Vision/geoAI. They offer AI solutions and services.
Benefits:
International product and innovation-driven team with rich expertise in Computer Vision and Reinforcement Learning as well as distributed training, data engineering, ML ops and cloud architectures
Working with the latest technologies at the interface between research and industry (enliteAI is an ELISE EU research network Organizing Node)
Personal growth: Receive continuous training and education opportunities. Budget and time allotment for the pursuit of individual R&D projects, training or conference participations
Flexible work models: Remote work, an office in Vienna's 1st district and minimal core hours
Experience Requirements:
3+ years of work experience in data-driven environments
Passionate about everything related to AI, Machine Learning and Computer Vision
Other Requirements:
Python programming skills, emphasis on data engineering and distributed processing (e.g. Flask, Postgres, SQLalchemy, Airflow)
Proficiency in working with databases and data storage solutions
Experience with Kubernetes and Docker (Helm, Terraform, Amazon Kubernetes Service)
Familiarity with cloud environments (AWS, Gcloud, Azure)
Used to mature workflows in software development (Git, issue management, documentation, unit testing, CI/CD)
Fluent in English both spoken and in written language.
Valid work permit for Austria
Responsibilities:
Collaborate with our machine learning and backend engineers to design and manage scalable processing pipelines in productive environments.
Implement robust processing flows and I/O-efficient data structures, powering use cases such as road surface analysis, sign detection and localization on large volumes of point cloud and imagery data.
Design and manage relevant database schemes in close collaboration with backend engineering.
Create and maintain comprehensive documentation of the processing pipelines, database schemes, configuration and software architecture.
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Senior MLOps Engineer
enliteAI is a technology provider for Artificial Intelligence specialized in Reinforcement Learning and Computer Vision/geoAI. They offer AI solutions and services.
Benefits:
International product and innovation-driven team with rich expertise in Computer Vision and Reinforcement Learning as well as distributed training, data engineering, ML ops and cloud architectures
Working with the latest technologies at the interface between research and industry (enliteAI is an ELISE EU research network Organizing Node)
Personal growth: Receive continuous training and education opportunities. Budget and time allotment for the pursuit of individual R&D projects, training or conference participations
Flexible work models: Remote work, an office in Vienna's 1st district and minimal core hours
Experience Requirements:
3+ years of work experience in data-driven environments
Passionate about everything related to AI, Machine Learning and Computer Vision
Other Requirements:
Experience with Kubernetes and Docker (Helm, Terraform, Amazon Kubernetes Service)
Familiarity with cloud environments (AWS, Gcloud, Azure)
Python programming skills, emphasis on backend related technologies (e.g. Flask, Postgres, SQLalchemy)
Used to mature workflows in software development (Git, issue management, documentation, unit testing, CI/CD)
Data engineering knowledge (SQL databases, distributed systems)
Fluent in English both spoken and in written language.
Valid work permit for Austria
Responsibilities:
Collaborate with our machine learning engineers and data engineers to publish our models into processing pipelines and deploy to productive environments.
Design and manage our GPU & CPU server infrastructure, from on-prem Kubernetes clusters to cloud deployments.
Manage and orchestrate the data pipelines and data storage systems and associated synchronization processes for model training and execution.
Own our CI/CD pipelines (based on Gitlab)
Establish monitoring of model, pipeline and infrastructure health. Set up logging to capture relevant information for debugging and auditing.
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Chief Operating Officer (COO)
ESGRisk.ai is India's first dedicated ESG rating company, providing ESG ratings and risk assessments.
Benefits:
Family Health Insurance
Accident & Term Life Insurance
Education Requirements:
MBA in Finance / CA is a must
B.Tech may be advantage
Experience Requirements:
15 years post qualification of which 5 years in ratings
Responsibilities:
Subsidiary Operations: Governance & Compliance
Operational Efficiency
Client Servicing: Surveillance, Billing & Collections
Client Relationship Management
Business Development Support: Quality Control, CRM Management, Banker/Investor Outreach: Relationship Management, Stakeholder Engagement, IT Infrastructure & Infosec Oversight: Cybersecurity & Data Security, IT Governance, Human Resource & Admin Oversight: Talent Management, Organizational Development, Compliance, Admin operations
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Executive – Quality Control
ESGRisk.ai is India's first dedicated ESG rating company, providing ESG ratings and risk assessments.
Benefits:
Family Health Insurance
Accident & Term Life Insurance
Education Requirements:
B.com
Experience Requirements:
1-2 years of similar Industry Experience (Preferable)
Responsibilities:
Editing of Rating Rationales and other material including opinion pieces, commentaries
Maintaining analytical quality and credit opinion as warranted by the rating
Constantly communicating with Analysts across teams and locations
Ensure that the cases move from one stage to another within the expected TAT
Adhering to Acuite's policies and processes with due consideration of required compliances
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Executive - Concurrent Audit
ESGRisk.ai is India's first dedicated ESG rating company, providing ESG ratings and risk assessments.
Benefits:
Family Health Insurance
Accident & Term Life Insurance
Education Requirements:
Inter CA
Experience Requirements:
1-2 years
Responsibilities:
Liaison with Internal Auditors for Planning and collation of related information and data for smooth execution of Internal Audit.
Liaison with different internal and cross functional Teams for data / info gathering and collation.
Liaison with Internal Teams to close all the observations from the Internal Audit.
Developing a mechanism for Concurrent Audit in line with Internal (Operations) Audit for improvement of Quality of Internal Processes.
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Senior Analyst/Manager/Sr Manager
ESGRisk.ai is India's first dedicated ESG rating company, providing ESG ratings and risk assessments.
Benefits:
Family Health Insurance
Accident & Term Life Insurance
Education Requirements:
MBA - Finance / CA / CFA
Experience Requirements:
2+ years
Responsibilities:
Handle Credit Ratings and Loss Assessments for securitization transactions
Handle Credit Rating of Financial Intermediaries like Banks/ NBFCs/HFCs/MFIs/Brokerage Houses etc.
Ensure consistent and high-quality ratings reports in the Rating Committee
Meetings and interactions with senior client people including CFO/CEO to position Acuité Ratings successfully
Responsible for timely completion of Ratings and Rating Rationales
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Executive - Client Servicing
ESGRisk.ai is India's first dedicated ESG rating company, providing ESG ratings and risk assessments.
Benefits:
Family Health Insurance
Accident & Term Life Insurance
Education Requirements:
Graduate
Experience Requirements:
2-3 years
Responsibilities:
Tele sales executive with Excellent communication skills (Hindi / English) to pitch sales
Tele caller to Handle client queries and obtain information from the clients appropriately
Generate quality appointments from provided database.
Follow ups and update lead/data on timely basis by the telesales executive.
Achieve weekly appointment targets
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Executive Assistant to CEO
ESGRisk.ai is India's first dedicated ESG rating company, providing ESG ratings and risk assessments.
Benefits:
Family Health Insurance
Accident & Term Life Insurance
Education Requirements:
Graduate
Experience Requirements:
Fresher
Responsibilities:
Design correspondence, communications, presentations and other documents
Good understanding of Financial Analytics & Research
Schedule meetings, events, conference calls and activities for the CEO
Be a part of meetings and ensure to record and distribute minutes of meetings
Monitor, screen, respond to and distribute incoming communications
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Executive Assistant (Manager – Strategy)
ESGRisk.ai is India's first dedicated ESG rating company, providing ESG ratings and risk assessments.
Benefits:
Family Health Insurance
Accident & Term Life Insurance
Education Requirements:
CA, MBA-Fin
Experience Requirements:
2 years
Responsibilities:
Assisting Finance Head & Group CEO in specific Strategic Projects of the company.
Preparing MIS of the Group and sharing with Finance Head.
Preparing data of sales pipeline for the month.
Reviewing the P & L on monthly basis.
Candidate should have acumen to do number crunching and data analytics.
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AVP - Human Resource
ESGRisk.ai is India's first dedicated ESG rating company, providing ESG ratings and risk assessments.
Benefits:
Family Health Insurance
Accident & Term Life Insurance
Education Requirements:
Any Postgraduate, MBA/PGDM - Any Specialization
Experience Requirements:
12 - 15 years
Responsibilities:
The incumbent will be required to handle the entire gamut of HR Activities right from Talent Acquisition to Talent Management & Development to HR Operations & HR Compliance.
HR Analytics
Put into action the People & Culture initiatives and strategies of the company in line with the overall business plan
Drive the Employee Engagement activities
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Assistant Manager / Manager – Business Development (Corporate Sector Ratings)
ESGRisk.ai is India's first dedicated ESG rating company, providing ESG ratings and risk assessments.
Benefits:
Family Health Insurance
Accident & Term Life Insurance
Education Requirements:
MBA in Marketing / Finance
Experience Requirements:
2-4 years’ experience in Credit Ratings Industry
Responsibilities:
New business origination in corporate segment
Increase Acuite's market share in the region for Corporate Sector
Conduct high impact meeting and negotiations with CXOs of companies
Build and maintain strong senior level connects with lead arrangers, influencers, and bankers
Provide market feedback to the company leadership regarding competition
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Assistant Manager / Manager – Business Development (Financial Sector Ratings)
ESGRisk.ai is India's first dedicated ESG rating company, providing ESG ratings and risk assessments.
Benefits:
Family Health Insurance
Accident & Term Life Insurance
Education Requirements:
MBA in Marketing / Finance
Experience Requirements:
2-4 years’ experience in Credit Ratings Industry
Responsibilities:
New business origination in corporate segment
Increase Acuite's market share in the region for Corporate Sector
Conduct high impact meeting and negotiations with CXOs of companies
Build and maintain strong senior level connects with lead arrangers, influencers, and bankers
Provide market feedback to the company leadership regarding competition
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