Graphic Designer

Position Title:Customer Success Regional SPOC

Experience:8+ Year

Location:Bhopal, Indore, Hyderabad,Jaipur

Skill set: B2B Sales, Finacial Saas, Edu Fintech, 

• Responsible for Embedded Stack - implementation between Institutes and LEO1
• Single point of support for ensuring seamless onboarding of students & coordination.
• Conducts Training (Product training to Institute management / training to institute staff/
• Review Calendars training / Onboarding student training)
• Responsible for communications between both the entities
• Responsible for ensuring weekly updates and monthly reviews are conducted
• Ensures to coordinate between the teams for all pointers mentioned on the Institute track Check sheet.
• He/she will ensure the review calendar rhythm is maintained and accomplished.
• Monthly calendar for institute visits and ensuring travel to institutes for monthly reviews
• Sharing data templates on time to institutes
• Assisting in uploading/ loading details
• Ensures Cards dispatch for his/ her institutes
• Ensure coordination to upload Fee structure from backend LEO1 teams
• Collate feedbacks and address them on war footing.
• Will be responsible for Lead traction, business conversions , tie up withs local vendors, banks etc and points of card usage

Required Key Skills :

• The role requires the person to interact with all top institutes, and their senior
• management teams we will need a seasoned resource.
• To be excellent in communicating skills and training skills
• They should be able to convince teams and staff on the products and get buy in.
• Should be open to travelling

• PHP / Laravel developer duties and responsibilities

• Develop, record and maintain cutting edge web-based PHP applications on portal plus premium service platforms

• Build innovative, state-of-the-art applications and collaborate with the User Experience (UX) team

• Ensure HTML, CSS, and shared JavaScript is valid and consistent across applications

• Prepare and maintain all applications utilizing standard development tools

• Utilize backend data services and contribute to increase existing data services API

• In depth knowledge of object-oriented PHP and Laravel 5 PHP Framework

• Hands on experience with SQL schema design, SOLID principles, REST API design

• MySQL profiling and query optimization

Role Overview:

The AI Research Intern will focus on natural language processing (NLP) and working with large language models (LLMs). They will assist in refining and testing the retrieval-augmented generation (RAG) system for CopilotGTM.

Key Responsibilities:

• Assist in developing and refining NLP models to answer customer queries.
• Research and implement improvements to minimize hallucinations in the LLM.
• Test RAG model configurations and provide feedback to improve accuracy.
• Work with the engineering team to improve real-time product recommendations and responses.
• Analyze datasets and fine-tune models for specific use cases (e.g., sales, compliance).

Skills Required:

• Strong understanding of NLP and familiarity with LLMs (GPT, BERT, etc.).
• Basic coding experience in Python.
• Knowledge of data handling, data processing, and model training.
• Problem-solving ability and eagerness to experiment with new techniques.

Preferred:

• Experience with libraries like Hugging Face, PyTorch, or TensorFlow.
• Familiarity with retrieval-augmented generation (RAG) systems.

As a Senior Technical lead you will be a member of a software development team building innovative new features for the application. Lead the team as Senior Full Stack developer

Primary Job Responsibilities:

• Inherit a well-architected, clean, and robust codebase built with .NET Core 5.x, and JavaScript and Angular
• Evaluate and implement new libraries and components
• Ensure best practices are followed in the design and development of the application Contribute to and help manage our open-source libraries
• Strong knowledge of C# and .NET Core, JavaScript, Angular
• NoSQL databases (MongoDB)Real-time web applications (Web Sockets / SignalR)
• Containerization technologies (Docker, Kubernetes) Swagger /OpenAPI Initiative
• Strong knowledge of design patterns and practices
• Experience in non-Microsoft tech stacks as Node, Python, Angular and others are also crucial components of Source Control - GitHub Unit / Performance / Load Testing
• Experience with Continuous Integration - Jenkins/Travis/Circle/etc.
• Experience working in Agile Environments - JIRA/Slack
• Working knowledge of SAAS Architecture and Deployments - AWS/Google Cloud/etc.

Be a part of the growth story of a rapidly growing organization in AI. We are seeking a passionate Machine Learning (ML) Engineer, with a strong background in developing and deploying state-of-the-art models on Cloud. You will participate in the complete cycle of building machine learning models from conceptualization of ideas, data preparation, feature selection, training, evaluation, and productionization.

On a typical day, you might build data pipelines, develop a new machine learning algorithm, train a new model or deploy the trained model on the cloud. You will have a high degree of autonomy, ownership, and influence over your work, machine learning organizations' evolution, and the direction of the company.

• Bachelor's degree in computer science/electrical engineering or equivalent practical experience
• 7+ years of Industry experience in Data Science, ML/AI projects. Experience in productionizing machine learning in the industry setting
• Strong grasp of statistical machine learning, linear algebra, deep learning, and computer vision
• 3+ years experience with one or more general-purpose programming languages including but not limited to: R, Python.
• Experience with PyTorch or TensorFlow or other ML Frameworks.
• Experience in using Cloud services such as AWS, GCP, Azure. Understand the principles of developing cloud-native application development

• Design and implement ML components, systems and tools to automate and enable our various AI industry solutions
• Apply research methodologies to identify the machine learning models to solve a business problem and deploy the model at scale.
• Own the ML pipeline from data collection, through the prototype development to production.
• Develop high-performance, scalable, and maintainable inference services that communicate with the rest of our tech stack

What you must have:

Aimed at building a massive parallel economy, This For That, is looking for highly driven engineers to build out a world class product. The product is in its early stages so there’s a lot to learn and build from scratch. You will get to work alongside seasoned business and marketing professionals and become part of the core engineering team.

Ideal skills:

1) 2-5 years of professional JavaScript development experience

2) Understanding of asynchronous programming and its quirks and workarounds

3) Comfortable working through the entire stack from the user interface through systems levels

4) Understanding accessibility and security compliance

5) Strong Logical and Analytical Skills

6) Experience in consuming web services (REST) and processing data (JSON)

7) Experience with SQLite, NoSQL, Redis or other databases

8) Proven experience in building API services using NodeJS Express and related frameworks

9) Good understanding of NodeJS asynchronous runtime

10) Good understanding of JS concepts on callbacks and closures

11) Experience in debugging issues related to memory leaks

12) Experience in building highly scalable and high throughput services with sub-second response times

13) Experience with ElasticSearch/Solr

14) Experience working in a collaborative team environment

15) Ability to understand and analyse issues across multiple vendors and interfaces

16) Experience with NoSQL queries

17) Experience with AWS

18) Experience in managing/mentoring small teams

In depth knowledge of all of the above is not mandatory but the nature of the work will involve learning and getting involved with all of the above. You would be working directly with key members of the management team to define and drive technical strategy.

Experience in the mobile space is mandatory. Please only apply if you have been part of building a mobile product. Since our product is mobile only, it is essential that you understand implications on the front end.