Redshift Admin

💡 Profile: Full Stack Developer at Deqode

🔷 Experience- 2+ Years

🔷 Location- Mumbai (Andheri East)

🔷 Mode- 5 Days WFO

(Only immediate joiners & candidates serving notice period)

✨ What we want:

✅ Currently working in a product-based company

✅ Prior e-commerce platform/project experience

✅ Strong experience with MERN Stack development

✅ Proficiency in ReactJS & modern JavaScript (ES6+)

✅ Solid Node.js backend development skills

✅ Database management experience (MongoDB preferred)

✅ RESTful API design & integration

✅ Code optimization & performance mindset

Hiring for the position of Full Stack Developer responsible for managing back-end services and the interchange of data between the server and the users.Your primary focus will be the development of all server side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the frontend elements built by your co-workers into the application. Therefore, a basic understanding of frontend technologies is necessary as well.

Job Profile: -

●        Create and consume restful APIs

●        Design, develop, and maintain internal and external applications

●        Build efficient, testable, and reusable modules

●        Write high quality, structured application/interface code and documentation

●        Identify solutions through research and collaboration that resolves the root of problems as they arise

●        Define functional and technical requirements for application software to develop skills and knowledge

●        Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality

●        Contribute in all phases of the development lifecycle

Requirement

∙ Proficient in Node.JS and ReactJS development stack

∙ 2+ years’ experience designing, querying, and updating databases in MySQL/nosql

∙ Basic understanding of web technologies including HTML, CSS, JavaScript, AJAX etc.

∙ Passion for best design and coding practices and a desire to develop new bold ideas.

🌟 Job Opening: Business Development Manager (B2B – EdTech Curriculum Sales)

Company: KGISL – Million Genius Coders

Industry: Education Technology | K–12 Curriculum Solutions

Job Type: Full-Time | On-Field | Individual Contributor

Work Days: 6 Days/Week (Monday–Saturday)

Experience: 1–4 Years (EdTech / Institutional Sales Preferred)

North & Central TN: Vellore, Ranipet, Tiruvannamalai

South TN: Ramanathapuram, Kanniyakumari

💼 About the Role – What You’ll Do

As a BDM – Institutional Sales, you’ll drive growth by acquiring and onboarding schools (B2B segment) to adopt our flagship coding curriculum solutions. This is a pure field role focused on relationship-building, solution selling, and driving MoUs with school stakeholders.

🔧 Key Responsibilities

Conduct on-site visits to schools, meeting Principals, Management, and Key Decision Makers.

Deliver compelling product pitches and presentations for MGC’s NEP-aligned coding curriculum.

Manage the end-to-end sales cycle – from lead generation and demo to MoU closure and onboarding.

Coordinate with internal teams for delivery, trainer allocation, LMS access, and post-sale services.

Ensure compliance with the company’s Ops Policy, CRM standards, and field protocols.

✅ Who Should Apply

Proven experience (1–2 years) in EdTech / K–12 B2B sales / school curriculum sales.

Strong field sales discipline with CRM exposure.

Excellent communication in Tamil and English.

Strong technical understanding of curriculum-based solutions or EdTech offerings.

Willingness to travel extensively within the assigned region.

Self-driven, accountable, target-oriented mindset with strong follow-ups.

Opportunities to lead new curriculum launches and academic partnerships across India

ML Engineer

HackerPulse is a new and growing company. We help software engineers showcase their skills using AI powered profiles. As a Machine Learning Engineer, you will have the opportunity to contribute to the development and implementation of advanced Machine Learning (ML) and Natural Language Processing (NLP) solutions. You will play a crucial role in taking the innovative work done by our research team and turning it into practical solutions for production deployment. By applying to this job you agree to receive communication from us.

*Make sure to fill out the link below*

To speed up the hiring process, kindly complete the following link: https://airtable.com/appcWHN5MIs3DJEj9/shriREagoEMhlfw84

Responsibilities:

1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.
2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.
3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.
4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.
5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.
6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.
7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.
8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.
9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.
10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.
11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.
12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.

Qualifications:

1. Degree in Computer Science or related discipline or equivalent practical experience, with a strong emphasis on machine learning and natural language processing.
2. Proven experience and in-depth knowledge of ML techniques, with a focus on implementing deep-learning approaches for NLP tasks in the context of productizing research goals.
3. Ability to apply engineering best practices to make architectural and design decisions aligned with functionalities, user experience, performance, reliability, and scalability in the development of deployable ML services.
4. Substantial experience in software development using Python, Java, and/or C or C++, with a particular emphasis on integrating machine learning models into production-ready software solutions.
5. Demonstrated problem-solving skills, showcasing the ability to address complex situations effectively, especially in the context of improving models, data engineering, and deployment processes.
6. Strong interpersonal and communication skills, essential for effective collaboration within cross-functional teams consisting of research, development, and frontend teams.
7. Proven time management skills to handle dynamic and agile development situations, ensuring timely delivery of solutions in a fast-paced environment.
8. Self-motivated contributor who frequently takes initiative to enhance the codebase and share best practices, contributing to the development of an open, transparent, and collaborative engineering culture.