Application Security Engineer
at They provide both wholesale and retail funding. PM1
- The candidate must have strong experience in application security assessment. threat modeling, code review, static and dynamic testing.
- The candidate must have a strong understanding of common security libraries, security controls, and common security flaws.
- Candidate must have experience in performing application vulnerability Management, penetration testing, application & API security assessment.
- Candidate must have experience with OWASP, static/dynamic analysis, and common security tools
- Candidate must have basic knowledge of development or scripting experience
- Candidate must have experience in identifying security issues through code review during entire SDLC cycle
- A basic understanding of network and web-related protocols (such as TCP/IP, UDP, HTTP, HTTPS, protocols)
- Experience in working with developers
- Candidate must have good communication skills (written & verbal)
- He / She will be responsible for performing application security assessment, code review, API security assessment.
- Participate in and support application security reviews and threat modeling, including code review and static/dynamic testing.
- Ensure that security across all aspects of the software is uniform by setting up checkpoints.
- Perform threat modeling for applications to determine the potential threats and vulnerabilities to an application and identify points where applications are most vulnerable.
- Based on assessment results explore the threats that each application is exposed to and ranks them on a severity scale
- Recommend the countermeasures that could be developed to secure application
- He / She need to facilitate and support the preparation of security releases
- He / She needs to support product and development teams in the area of application security.
- Assist in the creation of best security development practices and security training for developers
Skills
- He / She must have 5 + Years of experience in Application security assessment & application vulnerability management with strong academic background.
- Ability to stay current with emerging threats, security risks, and potential impacts to the business.
- Should have strong exposure to application security assessment, code review, secure development practices, and application security tools & technologies.
- Candidate should have at least one Information security certification CEH, CASE, or CISSP
Shubham Vishwakarma
Full Stack Developer - Averlon
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Company: VRT Management Group, LLC
Location: Santosh Nagar, Hyderabad (Onsite)
About VRT Management Group
VRT Management Group is an entrepreneurial consulting company founded in 2008 in the USA. Our mission is to empower small and medium-scale business leaders across the United States through high-impact programs such as EGA, EGOS, and Entrepreneurial Edge.
With our growing Hyderabad operations, we’re building a high-performing marketing team to scale our impact.
Role Overview
As a Content Marketing Intern, you’ll help build and run our B2B lead generation engine, supporting campaigns that drive Leads → Calls Booked → Showups. This is a hands-on role where you’ll learn real growth marketing by executing LinkedIn and email campaigns, tracking weekly funnel metrics, improving conversions, and supporting content distribution.
If you enjoy marketing + numbers + execution and want direct exposure to how a CEO scales pipeline, this role is for you.
Key Responsibilities
- Support monthly pipeline targets (Leads → Calls Booked → Showups)
- Assist in executing B2B lead generation campaigns (LinkedIn, Email, Webinars, Partnerships)
- Support performance marketing execution (LinkedIn & Email focus; Meta/YouTube/Instagram is a plus)
- Track funnel metrics weekly and identify areas to improve conversion rates.
- Coordinate with designers/editors using creative briefs.
- Interview and gather content inputs from Rajesh Tedla (CEO) and other internal stakeholders; extract key insights, stories, and offers for campaigns.
- Convert raw inputs into polished marketing assets: LinkedIn posts, email sequences, newsletters, website/landing page copy, blogs, and short articles aligned to target audience (USA SMBs).
- Maintain VRT/EGA brand voice and messaging consistency; refine drafts based on feedback and approvals.
- Publish and schedule LinkedIn posts and email campaigns using approved tools; maintain an organized content calendar.
Required Skills / What We’re Looking For
- Interest or experience in B2B marketing / lead generation / growth (internship/projects acceptable)
- Strong understanding of LinkedIn + Email marketing fundamentals
- Comfort with tracking metrics (leads, booked calls, show rate, conversions)
- Good communication + execution skills (you finish what you start)
- Basic copywriting ability and willingness to learn fast
- Analytical mindset (you like checking what’s working and improving it)
Tools Exposure (Good to Have)
- CRM basics (HubSpot/Zoho/any CRM)
- Email automation tools
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- Google Sheets/Excel reporting
Data Analytics
PythonMANDATORY CRITERIA:
- Candidate Must be a graduate from IIT, NIT, NSUT, or DTU.
- Need candidate with 1–2 years of pure Product Analyst experience is mandatory.
- Candidate must have strong hands-on experience in Product + Data Analysis + Python.
- Candidate should have Python skill on the scale of 3/5 at least.
- Proficiency in SQL and ability to work with large datasets.
- The candidate must experience with A/B testing, cohorts, funnels, retention, and product metrics.
- Hands-on experience with data visualization tools (Tableau, Power BI, Looker, Mixpanel, GA, etc.).
- Candidate must have experienece in Jira.
- Strong communication skills with the ability to work with Product, Engineering, Business, and Ops teams.
OVERVIEW:
As a Product Analyst, you will play a critical role in driving product decisions through data insights and operational understanding. You’ll work closely with Product Managers, Engineering, Business, and Operations teams to analyze user behavior, monitor feature performance, and identify opportunities that accelerate growth, improve user experience, and increase revenue. Your focus will be on translating data into actionable strategies, supporting product roadmaps, and enabling informed decision-making across demand-side projects and operations.
WHAT YOU WILL DO?
● Partnering with Product Managers and cross-functional teams to define metrics, build dashboards, and track product performance.
● Conducting deep-dive analyses of large-scale data to identify trends, user behavior patterns, growth gaps, and improvement opportunities.
● Performing competitive benchmarking and industry research to support product strategy and prioritization.
● Generating data-backed insights to drive feature enhancements, product experiments, and business decisions.
● Tracking post-launch impact by measuring adoption, engagement, retention, and ROI of new features.
● Working with Data, Engineering, Business, and Ops teams to design and measure experiments (A/B tests, cohorts, funnels).
● Creating reports, visualizations, and presentations that simplify complex data for stakeholdersand leadership.
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WHAT WE ARE LOOKING FOR?
● Bachelor’s degree in engineering, statistics, business, economics, mathematics, data science, or a related field.
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● Proficiency in SQL and ability to work with large datasets.
● Experience with data visualization/reporting tools (e.g., Excel, Google Sheets, Power BI, Tableau, Looker, Mixpanel, GA).
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● Ability to work collaboratively in cross-functional teams.
● Passion for product, user behavior, and data-driven decision-making
● Prior internship or work experience in product analytics, business analysis, consulting, or growth teams.
● Familiarity with experimentation techniques (A/B testing, funnels, cohorts, retention metrics).
● Understanding of product management concepts and tools (Jira, Confluence, etc.).
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Python
React.js
PostgreSQL
Angular (2+)Role Summary
We are seeking a Full-Stack Developer to build and secure features for our Therapy Planning Software (TPS), which integrates with RMS/RIS, EMR systems, devices (DICOM, Bluetooth, VR, robotics, FES), and supports ICD–ICF–ICHI coding. The role involves ~40% frontend and 60% backend development, with end-to-end responsibility for security across application layers.
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Frontend (40%)
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- Implement multilingual (i18n/l10n) and WCAG 2.1 accessibility standards.
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- Integrate REST/FHIR APIs for patient workflows, scheduling, and reporting.
- Support features like voice-to-text, video capture, and compression.
Backend (60%)
- Design and scale REST APIs using Python (FastAPI/Django).
- Build modules for EMR storage, assessments, therapy plans, and data logging.
- Implement HL7/FHIR endpoints and secure integrations with external EMRs.
- Handle file uploads (virus scanning, HD video compression, secure storage).
- Optimize PostgreSQL schemas and queries for performance.
- Implement RBAC, MFA, PDPA compliance, edit locks, and audit trails.
Security Layer (Ownership)
- Identity & Access: OAuth2/OIDC, JWT, MFA, SSO.
- Data Protection: TLS, AES-256 at rest, field-level encryption, immutable audit logs.
- Compliance: PDPA, HIPAA principles, MDA requirements.
- DevSecOps: Secure coding (OWASP ASVS), dependency scanning, secrets management.
- Monitoring: Logging/metrics (ELK/Prometheus), anomaly detection, DR/BCP preparedness.
Requirements
- Strong skills in Python (FastAPI/Django) and React + TypeScript.
- Experience with HL7/FHIR, EMR data, and REST APIs.
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- Proficiency with PostgreSQL and database optimization.
- Cloud deployment (AWS/Azure) and containerization (Docker/K8s) a plus.
Added Advantage
- Familiarity with ICD, ICF, ICHI coding systems or medical diagnosis workflows.
Success Metrics
- Deliver secure end-to-end features with clinical workflow integration.
- Pass OWASP/ASVS L2 security baseline.
- Establish full audit trail and role-based access across at least one clinical workflow.
PythonResponsibilities:
1. Design, develop, and optimize machine vision algorithms.
2. Collaborate with cross-functional teams to understand project requirements and contribute to the development of vision-based applications.
3. Work on image/video processing, feature extraction, object detection, and recognition algorithms.
4. Implement and deploy machine vision solutions for real-world applications.
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6. Stay updated on the latest advancements in computer vision and DL/ML technologies.
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1. Bachelor's or Master's degree in Computer Science, Electronics Engineering, or a related field.
2. Proven experience of 1-3 years in machine vision domain.
3. Strong programming skills in languages such as Python, etc.
4. Knowledge of image processing libraries and frameworks (OpenCV, SciPy, etc.).
5. Familiarity with hardware integration for vision systems.
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We are looking for an HR and Admin person responsible for managing all the aspects of the company's administration and Human Resources inclusive of the entire processes and practices. Your primary focus will be in organizational development by enforcing the defined company policies, processing the internal arrangements.
The key objective is to impart corporate values and enable business success through the stream of human resources that consists of job design, business ethics,employment cycle,talent management, and facilities management services.
WHAT YOU WILL DO-
- Key ownership in implementation of Business and located HR strategies within the process, team and adhere to company policies/practices.
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- Make high-judgment recommendations in the absence of clear guidance from leadership and must have an uncompromising attitude to maintain the decorum of the professional environment.
- Identify the training resources to train the employees in the core functions by measuring the effectiveness of the training and validate the same through feedback and monthly review process with the help of the respective Team Leads and Manager of the Research Department.
- Monthly attrition analysis to track and address undesirable attrition.
REQUIRED SKILLS & QUALIFICATIONS:
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- People Management skills
- Coaching, Listening, Analytical skills
- Good number orientation
- Strong functional skills in HR area of expertise, ability to resolve conflicts and build teams
- Excellent telephone, verbal, and written communication skill
- Sound knowledge of labor laws and practices.
- Excellent computer skills especially with MS-Office (Excel, PPT)
PREFERRED SKILLS & QUALIFICATIONS:
- Minimum 5 years of experience into the domain of Human Resource and Administration.
- Bachelor’s degree / Master’s degree in Human Resources or related field.
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LOCATION: In-Office –Jaipur, India
SHIFT TIMINGS: 8pm to 5am IST (Night Shift)
- Six days a week, second and fourth Saturdays off.
- The concerned POC will be following the US Calendar.
Ruby on Rails (ROR)
RubyRuby on Rails Developer Responsibilities:
• Designing and developing new web applications.
• Maintaining and troubleshooting existing web applications.
• Writing and maintaining reliable Ruby code.
• Integrating data storage solutions.
• Creating back-end components.
• Identifying and fixing bottlenecks and bugs.
• Integrating user-facing elements designed by the front-end team.
• Connecting applications with additional web servers.
• Maintaining APIs.
Ruby on Rails Developer Requirements:
• Bachelor’s degree in Computer Science, Computer Engineering, or related field.
• Experience working with Ruby on Rails as well as libraries like Resque and RSpec.
• Ability to write clean Ruby code.
• Proficiency with code versioning tools including Git, Github, SVN, and Mercurial.
• Experience with AngularJS or BackboneJS.
• Familiarity with MVC, Mocking, RESTful, and ORM.
• Good understanding of front-end technologies including HTML5, JavaScript, and CSS3.
• Knowledge of server-side templating languages including Slim and Liquid.
- Databases- MongoDb, Postgres.
Angular (2+)
C#
React.js
AngularJS (1.x)Skyber is a fintech based in Mumbai, India and is building a connected commerce platform and disruptive Enterprise SaaS with the fundamental of digitalising, unifying and streamlining businesses processes and transactions.
At Skyber, we are obsessed with our vision to create an ecosystem for Micro, Small, and Medium-sized Business Owners & freelancers of Bharat where we provide them with a procurements to payments & enquiry to invoicing platform. Skyber was born out of the need to bring back the focus on these business owners, to empower them so that they can ride along with the technology wave and adopt the phigital way.
To build such a community we require people with the same vision who are working towards making this dream possible for us and for all these business owners.
Being a part of Skyber is like being a part of a Sports team. Where we back each other. We know each other's strengths and weaknesses and work towards becoming better individuals and humans while working towards achieving this Dream together.
At Skyber, we believe that responsibility backed by right culture and ambitions backed by ability can move mountains. Thus, people don't get hired by us, but invited to join the cult. ⚡
Our flagship platform - Dhanda (https://mydhanda.com">https://mydhanda.com) is live on Play Store and iOS App Store 🚀
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- Translating designs and wireframes into high quality code
- Optimizing components for maximum performance across a vast array of web-capable devices and browsers
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- Strong proficiency in HTML, CSS, SCSS & JavaScript, including DOM manipulation and the JavaScript object model
- Thorough understanding of React.js and its core principles
- Experience with popular React.js workflows (such as Flux or Redux)
- Familiarity with newer specifications of EcmaScript
- Familiarity with RESTful APIs
- Knowledge of modern authorization mechanisms, such as JSON Web Token
- Familiarity with modern front-end build pipelines and tools
- Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
- Ability to understand business requirements and translate them into technical requirements
- A knack for benchmarking and optimization
- Familiarity with code versioning tools (such as Git, SVN, and Mercurial)
Here’s what you will get if you work with us :
- Working with a young & dynamic team that constantly tests your thinking and beliefs.
- No specific work timings. We believe that your work should speak for you and not the time.
- Constant amusement by Dot (Warning: Apply only if you like dogs) 🐶
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If you like what we are doing, and possess the right skillsets and are willing to learn then what are you waiting for? Apply
Machine Learning (ML)
Deep LearningJob Description :
Sr. Machine Learning Engineer will support our various business vertical teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Accountabilities :
- Collaborate with product management and engineering departments to understand company needs and devise possible solutions
- Keep up-to-date with latest technology trends
- Communicate results and ideas to key decision makers
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis
- Optimize joint development efforts through appropriate database use and project design
Skills & Requirements :
Technical Skills :
- Demonstrated skill in the use of one or more analytic software tools or languages (e.g., R, Python, Pyomo, Julia/Jump, Matlab, SAS,SQL)
- Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
- End-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production.
- Profound understanding of skills like outlier handling, data imputation, bias, variance, cross validation etc.
- Demonstrated skill in modeling techniques, including but not limited to Predictive modeling, Supervised learning, Unsupervised learning, Machine Learning, Statistical Modeling, Natural language processing, Recommendation engines,
- Demonstrated skill in analytic prototyping, analytic scaling, and solutions integration
- Developing hypotheses and set up your own problem frameworks to test for the best solutions
- Knowledge of data visualization tools - ggplot, Dash, d3.js and Matplottlib (or any other data visualization like Tableau, Qlikview)
- Generating insights for a business context
Desirable :
- Experience with cloud technologies for building, deploying and delivering data science applications is desired (preferably in Microsoft Azure)
- Experience in Tensorflow, Keras, Theano, Text Mining is desirable but not mandatory
- Experience to work in Agile and DevOps processes.
Core Skills :
- Bachelor or master degree in information technology, computer science, business administration or a related discipline.
- Certified in Agile Product Owner / SCRUM master and/or other Agile techniques
Leadership Skills :
- Strong stakeholder management and influencing skills. Able to articulate a vision and build support for that vision in the wider team and organization.
- Ability to self-start and direct efforts based on high-level business objectives
- Strong collaboration and leadership skills with the ability to coach and develop teams to meet new challenges.
- Strong interpersonal, communication, facilitation and presentation skills.
- Work through complex interfaces across organizational and geographic boundaries
- Excellent analytical, planning and problem solving skills
Job Experience Requirements :
- Utilize an advanced knowledge level of the Data Science Toolbox to participate in the entire Data Science Project Life cycle and execute end-to-end Data Science project
- Work end-to-end on Data Science developments contributing to all aspects of the project life cycle
- Keep customers as focus of analysis insight and recommendation.
- Help define business objectives/customer needs by capturing the right requirements from the right customers.
- Can take defined problems and identify resolution paths and opportunities to solve them; which you validate by defining hypotheses and driving experiments
- Can identify unstructured problems and articulate opportunities to form new analytics project ideas
- Use and understand the key performance indicators (KPIs) and diagnostics to measure performance against business goals
- Compile integrate and analyze data from multiple sources to identify trends expose new opportunities and answer ongoing business questions
- Execute hypothesis-driven analysis to address business questions issues and opportunities
- Build validate and manage advanced models (e.g. explanatory predictive) using statistical and/or other analytical methods
- Are familiar working within Agile Project Management methodologies / structures
- Analyze results using statistical methods and work with senior team members to make recommendations to improve customer experience and business results
- Have the ability to conceptualize formulate prototype and implement algorithms to capture customer behavior and solve business problems
- Analyze results using statistical methods to make recommendations to improve customer experience and business results
Machine Learning (ML)- Key Responsibilities : Use cases to support use case analysis E2E, define capabilities, understand the data and model Machine Learning Operations MLOps Azure Machine Learning, Azure Cognitive Services, Azure DevOps, Overall Azure Cloud Experience, Powershell, DSVM, AML Compute / Training Clusters Azure Infrastructure Experience, Python, Big Data Python Scripting 8 Automate ML models deployments, Manage, monitor, troubleshoot machine learning infrastructure and Setup ML Pipe lines
- Technical Experience : Proven skills experience in Azure AI ML solution design and architecture based solution using Azure Cloud capabilities AML / AKS Proven record of embedding advanced analytical models into business processes Collaborate in multi-functional teams to evaluate business activities, and then develop innovative and effective approaches to tackle teams analytics problems and communicate results bitbucket, Nodejs, PowerBI SQL, Python
- Experience in setting up MLOps framework for AI ML team
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon