Job Title: Investment Banking Intern
Location: Remote (Work from Home)
Job Type: Part-time
Stipend: Performance-based bonus
Kickstart Your Journey with Marquee Equity!
At Marquee Equity, we are redefining how startups and businesses raise capital. With a strong global presence and a powerful network of investors, we empower companies to secure funding efficiently and effectively.
Our platform bridges the gap between visionary entrepreneurs and top-tier investors, making fundraising seamless and impactful. Join us and be part of an ecosystem that fuels innovation, shapes industries, and builds the future of finance.
Your journey towards excellence starts here!
Why Join Us?
Work from the comfort of your home
Get hands-on experience in investment banking
Work with a global investor network
Gain real-world exposure to startup funding and capital markets
Learn from a team that’s redefining modern finance
Application Requirements (Mandatory):
Include your email ID and contact number in your CV
Add your LinkedIn profile URL to your CV

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Job Description
We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.
What You’ll Do will include (But not limited to):
- Preparing datasets needed to train and validate our machine learning models
- Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
- Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
- Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
- Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
- Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
- Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
- Supporting solutions ranging from rule-bases, classical ML techniques to the latest deep learning systems.
- Partnering with cross-functional team members to bring large scale data engineering solutions to production
- Communicating your approach and results to a wider audience through presentations
Your Qualifications:
- Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
- Good knowledge of traditional machine learning methods and neural networks
- Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
- Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
- Ability to implement data import, cleansing and transformation functions at scale
- Fluency in Docker, Kubernetes
- Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
- Solid English skills to effectively communicate with other team members
Due to the nature of the role, it would be nice if you have also:
- Experience with large datasets and distributed computing, especially with the Google Cloud Platform
- Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
- Experience with No–SQL and Graph databases
- Experience working in a Colab, Jupyter, or Python notebook environment
- Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
- Knowledge of Java, Scala or Go-Lang programming languages
- Familiarity with KubeFlow
- Experience with transformers, for example the Hugging Face libraries
- Experience with OpenCV
About Egnyte
In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com
#LI-Remote
Key Responsibilities:-
• Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of the Group
• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution
• Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code
• Design, develop and maintain the framework for the analytical pipeline
• Develop common components to address pain points in machine learning projects, like model lifecycle management, feature store and data quality evaluation
• Provide input and help implement framework and tools to improve data quality
• Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group
• Deliver on time, demonstrating a strong commitment to deliver on the team mission and agreed backlog

Note: Candidates from Premium Institutions are preferred

Job Title: Jr Software Engr Java
Experience: 2+ Years
CTC: 6-12 LPA
Location: Mumbai
Face-to-face interview at the office
What we want:
We are looking for someone who has has strong knowledge and 2+years’ of experience in Core Java, Spring MVC, Restful API, SOAP, Golang
What you will do:
•Developing REST APIs for the platform
•Developing & maintaining an UX Panel
•Integration with third party applications using APIs
•Design, Develop and execute performance tests to simulate traffic of large-scale events
•Analyse complex problems/issues in load tests, production servers, and identify the bottlenecks and optimize performance.
•Analyse usage patterns, and application behaviours and translate that into performance optimizations.
•Determine how to meet scalability requirements while ensuring reliability within a platform
•Design and maintain tools for reporting on performance metrics.
Detailed Requirements:
Excellent knowledge of Golang, Core Java, Spring MVC, Restful API,SOAP
Additional knowledge of Java internals, GO Lang, plus.
Experience in developing, optimizing and operating high traffic projects/websites is a plus.
Experience in using Java Profilers and performance engineering.
Experience in writing multithreaded web applications.
Good knowledge of basic Linux commands to debug system issues and limitations a must.
Experience in Agile/SCRUM is a big plus
Experience in hibernate and spring MVC framework is a plus.
Ability to manage multiple modules simultaneously
Ability to work under pressure & deal with people diplomatically
Should have experience of leading a team & a strong motivator
Strong academic record is a big plus.



Responsibility:
- Building user friendly Android and iOS Apps on React Native platform.
- Designing state-less components in React Native. State management with any of Redux, mobX or Flux.
- Writing modular, reusable, maintainable, well documented and fully tested code.
- Converting designs to mobile applications.
- Integrating with Rest APIs, while collaborating with Backend deve.
- Take complete ownership of the apps and change various elements/ technologies as per business need.
- Ensure optimum speed, performance, quality and responsiveness of application
- provide first, and second-tier (L1, L2) product support via Email, Social media, and our Forums.
- Resolving all customer issues in a time-bound manner. Comply with the SLA for issue resolution.
- Monitoring application processes, application logs and taking appropriate resolution actions in case of failures. Ask customers targeted questions to understand the root of the problem quickly.
- Researching, diagnosing, troubleshooting, and identifying solutions to resolve customer issues in using Enpass.
- Work closely with technical teams to investigate complex issues and enhance the quality of existing products.
- Document and follow-up customer suggestions for continued improvements to the Development Team.
- Provide daily metrics and reports on tickets; maintain the ticketing system and the tickets.
- Taking ownership of customer issues reported and seeing problems through to resolution.
- Improve Product user-guide and FAQs.
- ONLY B.TECH CANDIDATES MUST APPLY. FRESHERS DO NOT APPLY.
- CANDIDATES WITH RELEVANT TECH SUPPORT EXPERIENCE ONLY MUST APPLY
- CANDIDATE MUST HAVE FLUENT ENGLISH SPEAKING SKILLS (BOTH WRITTEN AND VERBAL)


About us:
Swazei is a US-based remote software product experience company headquartered in San Diego, California. We are a bunch of technology enthusiasts from all over the world. We are called Lunavo because we believe that it is possible to bring the Moon to the Earth. We believe in making things possible. We are passionate about executing products with agile lean processes that work to create product experiences that drive results. We have created an ecosystem of talent spread across geographies and agile design and development processes to create software that delivers value for our clients. (www.swazei.com).
Joining: IMMEDIATE
WORK FROM HOME OPPORTUNITY
Job Requirements:
- Should have at least 3 yrs of experience with Codeignitor
- HandsOn Experience in Codeigniter must
- Experience in frameworks like Yii, Symphony, jQuery, etc.
- Proficiency in tools like AJAX, CSS, Java Scripting, etc.
- Experience in MySQL, Joomla, WordPress, etc.
- Should have worked as Team Lead
- should have Retail/Ecom/POS domain knowledge
Job Type: Full-time
- Bachelor/Diploma in Fine Arts or Multimedia Institution.
- Experience of 6+ years as Sr. Visualizer or Art Director in Creative/Ad Agency or Design Firm
- Hands-on experience in CorelDraw, Photoshop, Illustrator, InDesign.
- Able to understand the brief of the client & transform them into tangible designs.
- Visual thinker & Ideator, who can come up with concepts and ideas in a very creative and innovative manner.
- Experience in Print & Digital media
- Passed Commercial Art from a reputed institute
- Comfortable on both Windows and Mac.
Lead Engineering Manager for Singapore based Asset Management Fintech
About the Company:
Torre Capital is a VC-Funded Fintech based out of Singapore focused on disrupting the Asset Management Industry. We are backed by prestigious VC firms and a network of angels and industry leaders, with over 18 months of runway. We are creating new ways to interact and service High Net Worth Individuals using latest tech and analytics interventions. Torre Capital was started by professionals (Mckinsey, Accenture, Flipkart, PayU, CIMB) with 50+ years of experience in Digital Business Build and Asset Management.
Job Description:
We are creating a full-stack technology team and looking for an Engineering Lead to head the tech platform development and the tech team. Working together with the co-founders, you will decide the revised tech stack, talent to be hired, and best practices to be put in place.
We are building a solution that deploys elements of tokenization using blockchain, ML driven portfolio selection and risk management, and a proprietary alternate secondary market for illiquid securities.
What we care about
- You should have prior experience leading a team of developers having gone through the entire cycle of hiring, developing, deploying, succeeding/failing, repeat.
- Hands on experience, knowing good practices at each stage of development such as TDD, CI/CD, Unit/Integration/E2E tests.
- You love technology and all aspects of it. You are a constant learner not because you need to, but because you want to.
- You understand finance, specifically areas of Asset Management, PE/VC, and private banking.
- You know how to spot good talent and nurture good talent. You believe time spent on training is time well spent.
- You know how to budget for the tech stack and the team you need.
- You are not afraid to call out other senior staff when they commit mistakes. You are as much part of the strategic decision making as the co-founders.
- Nothing lasting ever gets built in a few months. You believe in building to last, and don’t mind additional effort today to prepare for tomorrow.
- Values – customer satisfaction before bottom-line. Employee health before deadlines. Family before everything else.
What we don’t care about
- Project managers – we hate middle management
- Big egos
- Any kind of politics or hierarchy
- Your gender, sexual orientation, clothes you wear, what you do outside of work.
Key requirements:
- Minimum 2 years in a Head of Engineering/Lead Engineer role with a startup. Overall, between 5-10 number of years of tech experience.
- BE/ BTech or MTech/ Dual degree in Computer Science/Software engineering or similar from a Tier 1 institute
- Strong fundamental knowledge of algorithms, data structures, design patterns and network protocols.
- Ability to define and deploy the right tech stack for a fintech organization
- Blockchain implementation experience preferred
- Experience with actual product launch and adoption
- Experience with Agile methodologies. Experience with Agile methodologies and IT budgets to assess technological performance
What you can expect from us?
- A competitive above market salary. We want you to focus on your growth, and the best way is to not have you worry about operational expenses
- Complete independence of operations
- A Bonus that improves as company performance ticks up
- Significant career growth opportunity to a CTO position


