Sales Representative

Key Responsibilities:

1. Advanced Tracking Implementation
2. Design and execute advanced tracking solutions across both web and app environments using GA4, GTM (Web & Server-side), and Firebase. This includes configuring events, custom parameters, and dataLayers for accurate data collection. You will also implement enhanced tracking, user journey analytics to ensure comprehensive visibility of user behavior.
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4. Troubleshooting and Problem Solving
5. Identify, investigate, and resolve complex tracking or data discrepancies. You’ll use debugging tools and browser inspection utilities to diagnose issues. Collaborating with developers, you will resolve technical errors, configurations, and perform thorough QA testing to validate every deployment.
6. Custom Solution Development
7. Develop and deploy custom JavaScript and GTM solutions to meet unique business tracking requirements. You will create reusable templates, automation scripts, and tagging logic that improve efficiency and enable scalable analytics solutions. Implement and manage cookie consent systems to ensure compliance with global privacy regulations like GDPR and CCPA
8. Measurement Strategy and Analytics Frameworks
9. Build and maintain measurement frameworks that align analytics implementations with key business KPIs. You’ll translate marketing and operational objectives into clear, technical tracking requirements and audit existing setups to identify data integrity issues.
10. Documentation and Reporting
11. Create and maintain detailed documentation for all tagging structures, dataLayer designs, and measurement frameworks. You’ll produce QA and validation reports, project summaries, and technical handovers to ensure transparency and consistency across teams and clients. Create and share implementation reports, audit summaries, and technical handover guides.

Key Skills & Competencies

• Strong technical knowledge of GA4, GTM (Web & Server-side), and Firebase implementations.
• Strong understanding of tools like: GA4 / Firebase / Mixpanel / Segment / Adjust / AppsFlyer
• Hands-on experience with JavaScript, regex, and JSON for creating custom tracking solutions.
• Website, iOS, Android, React Native, Flutter event architecture
• Hands-on experience with debugging tools (Charles, ADB, Xcode logs, chrome extensions).
• Expertise in dataLayer schema design, tagging, documentation, implementation, debugging, and data validation processes.
• Excellent understanding of data privacy laws (GDPR, CCPA) and consent management solutions.
• Analytical mindset with a strong attention to detail and problem-solving ability.
• Proven ability to collaborate with cross-functional teams and communicate technical concepts clearly with clients and teams.
• Ability to troubleshoot complex data issues independently.
• Project ownership mindset with strong prioritization and organizational skills.

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.

Essential Responsibilities:

• Software analysis, design, development, and customizations of software applications on IBMi
• Develop Design and test cases
• Prepare project technical delivery documents such as Technical Design Documents, analysis, documents, Unit Test Reports, and others
• Actively participate in software quality Engineering process activities
• Stakeholder interactions daily
• Mentor junior resources and provide technical guidance as and when required
• Production Support and other maintenance activities on IBMi
• Participate in daily stand-up or equivalent calls
• Provide accurate timely status reports
• Work under agile frameworks including but not limited to Kanban and Scrum
• Any experience of support IBMi-based ERP packages would be added advantage
• Perform the production code promotional and other change management activities
• Providing technical leadership to project team members and responding to inquiries regarding errors or questions about programs

Job Requirements:

• Minimum Bachelor’s Graduate in Engineering or equivalent
• 10+ years of total experience is required
• Excellent written and oral communication skills

Essential skillset:

• Operating System: OS/400,WINDOWS
• Languages : RPGLE, COBOL, CL400,CLLE, STORED PROCEDURE
• Database : DB2/400
• ERP : MPICS, BPCS

Requirement & Job Description

Experienced & Dedicated Candidates are required for handling International Inbound calls , major job role will be to answer incoming calls from customers who want to place orders, respond to inquiries, provide general information. You will be a part of the contact team that believes in Delivering Joy through exceptional customer experience for consumers interested in the products we offer and will be responsible for assisting them in completing purchases online and over the phone.

Desired skills & Experience :

Should be a graduate

Should possess Graduation in German Language (Level C2)

If has some international voice experience of minimum 6 months in reputed International BPO would be an added advantage

Should have flair for customer service , Excellent upselling skills

Should be comfortable with Rotational shifts/Offs

Brief about Coursebook: 

Coursebook is a SaaS platform which helps educational businesses like Coaching & Training Institutions to Create, Market and Sell video courses Online through Coursebook. We are currently incubated at IIM Bangalore where our whole Team is placed. 

Product 1:

https://coursebook.in/">Coursebook.in was launched in March 2019, as a Marketplace for Courses, where training and coaching institutions could list their Courses on our platform and students could view and book the desired course of their choice. After a few months we choose not to actively develop this product due to a greater need in another Product. 

Product 2: (Main Product)

https://coursebook.us/">Coursebook.us is a SaaS platform where Educational businesses like Coaching and Training institutions can manage their day to day operations like Leads, Marketing, Online Payments, Invoicing, students as well as delivering a great learning experience to their students through Video Courses and LIVE CLASSES.

In short, we help any Freelancer, Universities, Coaching and Training institution to take their complete operations online.

We have different dashboard for Institute Admin (Owner/Director), Branch Manager, Sales Manager, Mentor/Teacher and for the student making our offerings very concrete. 

Technology Stack Information:

The web application would be designed & developed using open source technologies

Backend Languages

Golang and Node

Database

PostgreSQL is the choice for the database layer. PostgreSQL is industry standard for web applications and server the need for this scale of an application.

Infrastructure

Amazon EC2 for web hosting, S3 for storage, SQS for implementing queues are few of them which are to be integrated and used in the application.

Front End Elements

React

CTC: 10,00,000