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Customer Support Executive
Automate document extraction and analysis with 99% accuracy to cut processing times by 80%. Ideal for financial institutions needing secure, real-time compliance.
Education Requirements:
Graduate in any discipline (BCA, BSc IT, BCom, BBA, or equivalent preferred)
Experience Requirements:
Experience in BFSI, Insurance, SaaS, or FinTech domains.
Prior exposure to IDP, OCR, Document Management, or Automation platforms.
Other Requirements:
Excellent verbal and written communication skills (English required).
Strong customer handling and problem-solving skills.
Ability to understand technical concepts and explain them in simple terms.
Comfortable working with ticketing tools, emails, and MS Excel.
Responsibilities:
Act as the first point of contact for customer queries via email, calls, or ticketing tools.
Log, track, and manage customer tickets in the support/ticketing system.
Perform basic troubleshooting and functional analysis before escalating issues.
Coordinate with internal teams such as Product and Engineering for issue resolution.
Ensure timely follow-ups and closure of tickets as per agreed SLAs.
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Data Scientist
Automate document extraction and analysis with 99% accuracy to cut processing times by 80%. Ideal for financial institutions needing secure, real-time compliance.
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
Experience Requirements:
At least 2 years of professional experience in data science or a related field.
Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
Experience with big data technologies like Hadoop, Spark, or Hive is a plus.
Other Requirements:
Proficiency in programming languages such as Python, R, or Scala.
Familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib.
Strong understanding of statistical modeling, data mining, and machine learning techniques.
Responsibilities:
Analyzing and interpreting complex data to identify trends, patterns, and insights.
Developing, validating, and implementing predictive models and algorithms.
Collaborating with business units to understand their needs and provide data-driven solutions.
Communicating findings through visualizations and presentations to stakeholders.
Maintaining and improving existing data pipelines and tools.
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Machine Learning Engineer
Automate document extraction and analysis with 99% accuracy to cut processing times by 80%. Ideal for financial institutions needing secure, real-time compliance.
Education Requirements:
Degrees (B.Tech, M.Tech, PhD) are optional; experience is preferred over education.
Experience Requirements:
A few real-world machine learning projects.
Experience taking projects from idea stage to production.
Worked with Spacy, OpenCV, Huggingface or other similar libraries.
Other Requirements:
Strong at data structures, algorithms and probability theory.
Knowledge of C, C++, or Python.
Proficiency in Tensorflow, Keras, or PyTorch.
Experience designing and developing RESTful APIs with Flask/FastAPI.
Responsibilities:
Design annotation/training/inference pipelines.
Quickly explore and validate different models and architectures.
Come up with appropriate metrics and benchmarks to evaluate performance.
Wrap APIs around models and deploy them to the cloud.
Monitor the performance of models and build feedback loops for continuous improvement.
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Senior Software Engineer
Automate document extraction and analysis with 99% accuracy to cut processing times by 80%. Ideal for financial institutions needing secure, real-time compliance.
Education Requirements:
Bachelor’s or master’s degree in Computer Science or related field.
Experience Requirements:
Back-End Web Development skills.
Experience with agile software development methodologies.
Experience with Machine Learning and Artificial Intelligence is a plus.
Other Requirements:
Strong knowledge of programming languages such as Java, C++, and Python.
Experience with Object-Oriented Programming (OOP) concepts and design patterns.
Excellent problem-solving and analytical skills.
Responsibilities:
Designing back-end web applications.
Developing back-end web applications.
Maintaining back-end web applications.
Collaborating with a team of engineers to ensure delivery of high-quality software.
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Software Engineer
Automate document extraction and analysis with 99% accuracy to cut processing times by 80%. Ideal for financial institutions needing secure, real-time compliance.
Experience Requirements:
Hands-on experience in software development and agile methodologies.
Experience in CI/CD, Docker, Kubernetes and Cloud platforms.
Other Requirements:
Strong in Python, C/C++, HTML/CSS and Javascript.
Knowledge of relational databases (e.g. PostgreSQL, MySQL) and NoSQL databases.
Strong understanding of data structures and algorithms.
Analytical mind with problem-solving aptitude.
Responsibilities:
Develop high-quality software design and architecture.
Identify, prioritize and execute tasks in the software development life cycle.
Develop tools and applications by producing clean, efficient code.
Automate tasks through appropriate tools and scripting.
Review and debug code.
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Junior PR Specialist
Secure a brand-ready, AI-native domain name with human-curated excellence and AI-powered alignment tools to launch your startup with maximum credibility.
Experience Requirements:
Junior-level experience in PR or media relations with demonstrated results
Exposure to top-tier business, tech, or startup publications
Experience supporting PR for tech or startup companies is required
Other Requirements:
Strong writing skills and comfort communicating with journalists and editors
Highly organized, detail-oriented, and comfortable executing tasks with feedback and direction
Interest in startups, branding, or founder-focused products
Responsibilities:
Research and build targeted media lists across business, tech, and startup publications
Support outbound pitching using provided angles, messaging, and guidance
Send pitches, manage follow-ups, and respond to media inquiries
Assist in drafting and updating pitches, templates, and media materials
Help coordinate press around product launches, partnerships, and company announcements
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Project Manager Team A.I.
Deliver 24/7 automated support for customer care, HR, and IT with secure AI agents that integrate with CRM and ERP systems to boost organizational efficiency.
Benefits:
Salary that matches your experience
8% holiday allowance
Unlimited holidays
NS business card to cover travel expenses
Laptop and mobile phone
Experience Requirements:
2-4 years of work experience is preferred
Agency experience as project manager, account manager, or traffic manager is a plus
Other Requirements:
Must be living in the Netherlands
Fluent in Dutch and proficient in English
Strong interest in A.I.
Structured, organized, and detail oriented
Responsibilities:
Manage the entire project management process for A.I. assistants
Onboard customers and scope out requirements
Brief the development team and Head of Product on new features
Keep customers up-to-date on project status and timelines
Collect data and feedback on A.I. assistants after launch
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Front End Engineer
Eliminate data silos and build organizational trust using an AI-powered copilot that automates lineage, monitoring, and governance across your data ecosystem.
Benefits:
Profit Share / Equity Packages
Flexible Work Options
Meaningful Work
Company Retreats
Experience Requirements:
2-4 years of experience in a front end, full stack engineering or related technical role
Other Requirements:
Strong proficiency in React, JavaScript/TypeScript and modern ES6+ features
Solid understanding of HTML, CSS, Web components, and responsive design
Familiarity with state management patterns and libraries like zustand and redux
Experience writing unit, integration, and end-to-end tests using vitest or playwright
Good understanding of debugging and troubleshooting using browser dev tools
Responsibilities:
Build scalable web applications
Work across the full front end stack
Implement new features
Write tests and ensure code quality
Collaborate with other team members to review and provide feedback on their code
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Python Integration Engineer
Eliminate data silos and build organizational trust using an AI-powered copilot that automates lineage, monitoring, and governance across your data ecosystem.
Benefits:
Profit Share / Equity Packages
Flexible Work Options
Meaningful Work
Company Retreats
Experience Requirements:
2-4 years of industry experience as a Software or Data engineer
Other Requirements:
Solid programming skills in Python
Practical experience building or maintaining integrations, APIs, or connectors
Working knowledge of the modern data ecosystem (Snowflake, BigQuery, dbt, etc.)
Knowledge of software testing principles and experience writing unit tests
Strong problem-solving and analytical skills with attention to detail
Responsibilities:
Design, build, and maintain scalable integrations with databases, BI tools, and ETL platforms
Troubleshoot and resolve integration issues reported by customers
Collaborate with product and engineering teams to prioritise integration work
Ensure code meets quality standards by building unit and performance tests
Stay current with changes to third-party APIs and platforms
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Visualization Engineer
Accelerate business outcomes by transforming raw data into actionable insights through strategic AI implementation, machine learning, and modern data platforms.
Education Requirements:
Microsoft Power BI Certification is a plus
Experience Requirements:
Minimum of 3 years of experience as a Power BI Developer or similar role
Proficiency in Power BI Desktop, Power Query, and DAX
Strong SQL skills and experience with data warehousing concepts
Experience with data transformation and data wrangling techniques
Experience with ETL processes and tools
Other Requirements:
Exceptional problem-solving and analytical skills
Strong attention to detail and commitment to data quality
Excellent communication and interpersonal skills
Team player with the ability to collaborate across departments
Proactive, self-motivated, and results oriented
Responsibilities:
Collaborate with business stakeholders to understand their data and reporting needs
Design, develop, and maintain data warehousing solutions
Utilize data transformation and wrangling techniques to prepare raw data
Write and optimize complex DAX calculations
Develop interactive and visually appealing dashboards and reports using Power BI
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Visualization Engineer – Intern
Accelerate business outcomes by transforming raw data into actionable insights through strategic AI implementation, machine learning, and modern data platforms.
Education Requirements:
Excellent, consistent academic record
Document work for academic deliverables as required
Experience Requirements:
Fundamental knowledge on database, data modelling and cloud services
Quick learning abilities and interest to learn Power BI, Power Query and DAX
Good SQL skills and knowledge of Power BI is an advantage
Knowledge of ETL processes and tools is an advantage
Other Requirements:
Team Player with exceptional problem-solving skills
Strong attention to detail and analytical skills
Proactive, self-motivated, team oriented and results oriented
Responsibilities:
Design, develop, and maintain data warehousing solutions
Utilize data transformation and wrangling techniques
Learn to write and optimize complex DAX calculations
Assist in developing dashboards and reports using Power BI
Maintain thorough documentation of data models, queries, and reports
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GenAI Architect
Accelerate business outcomes by transforming raw data into actionable insights through strategic AI implementation, machine learning, and modern data platforms.
Experience Requirements:
5+ years experience with Big Data Technologies (Spark, Kafka, Lakehouse)
Comfortable writing code in either Python or Scala
Experience in Artificial Intelligence (NLP, Deep-Learning, chatbots, Generative AI)
Proven track record of building and leading high-performing teams
Understanding of Generative AI methodologies (GANs, VAEs, Transformers)
Other Requirements:
Exceptional problem-solving and analytical skills
Strong attention to detail and commitment to data quality
Team player with the ability to collaborate across departments
Adaptability to a dynamic and fast-paced work environment
Excellent communication and presentation skills
Responsibilities:
Set-up a Gen AI Lab as a service offering
Develop comprehensive AI strategies and architectures
Lead AI projects from conception to implementation
Build and lead a Databricks Practice for the Company
Mentor junior AI team members and provide training
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Data Engineering – Intern
Accelerate business outcomes by transforming raw data into actionable insights through strategic AI implementation, machine learning, and modern data platforms.
Education Requirements:
Excellent, consistent academic record
Experience Requirements:
Fundamental knowledge on database, data modelling and cloud services
Interest to learn Azure data services
Coding knowledge in SQL and Python is an advantage
Familiarity with DevOps practices, CI/CD, and Infrastructure as Code
Other Requirements:
Excellent problem-solving skills and analytical thinking
Attention to detail
Proactive, self-motivated, and results oriented
Responsibilities:
Assisting in design and management of large-scale systems using Azure Databricks
Help design and optimize ETL processes with Azure Databricks
Develop and optimize SQL queries for ETL routines
Translate functional requirements into detailed architecture and software
Acquire knowledge towards Azure data engineering certification
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AI Engineer
Accelerate business outcomes by transforming raw data into actionable insights through strategic AI implementation, machine learning, and modern data platforms.
Education Requirements:
Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Experience Requirements:
Proven experience with machine learning frameworks (Keras, PyTorch, scikit-learn)
Strong programming skills in Python, R, or Java
Familiarity with cloud services (AWS, Google Cloud, Azure)
Experience in building and deploying AI systems into production
Experience with big data technologies
Other Requirements:
Innovative thinker with a passion for problem-solving
Excellent communication skills
Understanding of data structures, data modelling, and software architecture
Detail-oriented and capable of working independently or in teams
Responsibilities:
Develop and deploy machine learning models and AI solutions
Collaborate with data scientists and engineers to integrate AI systems
Conduct machine learning experiments using proven techniques
Apply advance analytics techniques to large data sets
Continuously evaluate and refine AI models for accuracy
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AI Engineer – Intern
Accelerate business outcomes by transforming raw data into actionable insights through strategic AI implementation, machine learning, and modern data platforms.
Education Requirements:
Bachelor’s degree in computer science, Artificial Intelligence, or Engineering
Experience Requirements:
Foundational knowledge of machine learning algorithms and principles
Proficiency in programming languages such as Python, R, or Java
Experience with machine learning libraries (TensorFlow, Keras, PyTorch) preferred
Basic understanding of data structures and software architecture
Other Requirements:
Good problem-solving skills
Strong communication skills
Proactive attitude and willingness to take initiative
Interest in further education and certifications in AI/ML
Responsibilities:
Assist in developing and refining AI models under supervision
Participate in deployment of ML algorithms into production
Support maintenance and improvement of existing AI systems
Engage in data pre-processing, cleaning, and analysis
Contribute to implementation of NLP and computer vision technologies
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3D Engineer
Optimize data center performance and sustainability using AI-driven digital twin technology to reduce energy consumption and improve operational efficiency.
Education Requirements:
Bachelor's degree in Computer Science or related field
Experience Requirements:
At least 3 years of experience in 3D graphics and Unity development
Other Requirements:
Proficiency in C#, Unity3D, and WebGL
Familiarity with graphics rendering pipelines, shader programming, and 3D mathematics
Experience in optimizing 3D graphics for real-time simulations
Excellent problem-solving skills and attention to detail
Responsibilities:
Collaborate with designers, programmers, artists and other team members to develop tooling, simulation, and visualization solutions in Unity
Develop and implement efficient algorithms and data structures for computational geometry problems
Use Unity to create 3D assets, animations, and visual effects
Ensure code is efficient, maintainable, and scalable
Provide support for existing 3D assets and simulations
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Customer Experience Associate
Detect heart and lung disease earlier with FDA-cleared AI, noise-canceling digital stethoscopes, and real-time ECG visualizations for healthcare professionals.
Benefits:
Paid-time off
Medical/Dental/Vision, Disability + Life Insurance
One Medical membership
Parental Leave
401k Matching
Experience Requirements:
2+ years of customer support experience, ideally in ecommerce or healthcare tech
Familiarity with CRM/ticketing systems (Zendesk preferred)
Experience in healthcare or DTC
Exposure to public reputation management
Knowledge of HIPAA-compliant support practices
Other Requirements:
Strong written and verbal communication skills
Proactive, problem-solving mindset
Collaborative by nature
Responsibilities:
Provide omni-channel support with accuracy, warmth, and efficiency
Deliver a concierge-style experience, ensuring every customer is supported throughout their journey
Own complex cases and escalations, driving them to full resolution
Support high-value clinicians and accounts with white-glove care and seamless transitions to Sales
Lead service recovery, turning challenging moments into opportunities for loyalty
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Director of Enterprise Go-To-Market Strategy
Detect heart and lung disease earlier with FDA-cleared AI, noise-canceling digital stethoscopes, and real-time ECG visualizations for healthcare professionals.
Benefits:
Generous paid-time off
Stock incentive plans
Medical/Dental/Vision, Disability + Life Insurance
One Medical membership
Parental Leave
Education Requirements:
MBA
Experience Requirements:
8+ years in GTM strategy roles, and/or top tier management consulting experience
Advanced financial modeling experience
Extensive experience with executive presentation and deck development
Experience developing and executing commercial strategies in life science or health tech
Experience in a startup or high-growth environment
Other Requirements:
Highly fluent in and comfortable with complex clinical science
Quantitative analysis and financial modeling skills
A demonstrated passion for clinical and scientific concepts
Responsibilities:
Define the market opportunity in terms of unmet needs (clinical, operational, financial, TAM/SAM)
Work closely with clinical, product, and marketing teams to align value proposition with market opportunity
Establish the product value proposition in the context of customer unmet needs and buying dynamics
Develop and validate product positioning and messaging
Develop sophisticated market segmentation schemas and associated customer target profiles
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Director of Enterprise Sales - Telehealth
Detect heart and lung disease earlier with FDA-cleared AI, noise-canceling digital stethoscopes, and real-time ECG visualizations for healthcare professionals.
Benefits:
Generous paid-time off
Stock incentive plans
Medical/Dental/Vision, Disability + Life Insurance
One Medical membership
Parental Leave
Education Requirements:
Bachelor’s degree or equivalent practical experience
Experience Requirements:
8+ years of experience in enterprise sales, account management, or customer-facing leadership roles
Demonstrated success managing and growing enterprise healthcare accounts
Prior people management experience, including leading Account Executives and Account Managers
Experience selling telehealth, enterprise software, or platform-based solutions
Experience working in a startup or high-growth healthcare environment
Other Requirements:
Strong understanding of hospital and health system buying processes
Proficiency with CRM systems and standard sales and forecasting tools
Ability to travel up to 50%
Responsibilities:
Lead enterprise sales execution and revenue performance for Eko Telehealth across hospitals and health systems
Support and co-own strategic enterprise deals as a player-coach
Own account management, renewals, and expansion across existing health system customers
Own commercial relationships with key SDK and API licensing partners
Lead revenue growth, renewals, and expansion for SDK/API partners
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Head of Sales - SENSORA
Detect heart and lung disease earlier with FDA-cleared AI, noise-canceling digital stethoscopes, and real-time ECG visualizations for healthcare professionals.
Benefits:
Generous paid-time off
Stock incentive plans
Medical/Dental/Vision, Disability + Life Insurance
One Medical membership
Parental Leave
Education Requirements:
Bachelor’s degree or equivalent practical experience
Experience Requirements:
10+ years of enterprise sales experience in digital health, MedTech, or healthcare SaaS
Proven track record of closing complex enterprise deals with large hospitals and health systems
Experience selling new or category-creating technologies into healthcare environments
Demonstrated ability to operate as both a senior individual contributor and sales leader
Experience building or scaling an enterprise sales function in a high-growth environment
Other Requirements:
Strong knowledge of health system procurement and contracting
Experience building ROI-based value propositions
Ability to travel up to 70%
Responsibilities:
Own new business generation and enterprise revenue for SENSORA across large hospitals and IDNs
Personally lead and close complex, multi-stakeholder enterprise sales cycles
Develop and execute territory and account strategies across key enterprise segments
Build, mentor, and manage a small initial team of enterprise sellers
Establish trusted, multi-threaded relationships with senior stakeholders
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