Marketing Specialist

Role Overview:

We are looking for a skilled Data Scientist with expertise in data analytics, machine learning, and AI to join our team. The ideal candidate will have a strong command of data tools, programming, and knowledge of LLMs and Generative AI, contributing to the growth and automation of our business processes.

Key Responsibilities:

1. Data Analysis & Visualization:

• Develop and manage data pipelines, ensuring data accuracy and integrity.
• Design and implement insightful dashboards using Power BI to help stakeholders make data-driven decisions.
• Extract and analyze complex data sets using SQL to generate actionable insights

2 Machine Learning & AI Models:

• Build and deploy machine learning models to optimize key business functions like discount management, lead qualification, and process automation.
• Apply Natural Language Processing (NLP) techniques for text extraction, analysis, and classification from customer documents.
• Implement and fine-tune Generative AI models and large language models (LLMs) for various business applications, including prompt engineering for automation tasks.

3 Automation & Innovation:

• Use AI to streamline document verification, data extraction, and customer interaction processes.
• Innovate and automate manual processes, creating AI-driven solutions for internal teams and customer-facing systems.
• Stay abreast of the latest advancements in machine learning, NLP, and generative AI, applying them to real-world business challenges.

Qualifications:

• Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or related field.
• 4-7 years of experience as a Data Scientist, with proficiency in Python, SQL, Power BI, and Excel.
• Expertise in building machine learning models and utilizing NLP techniques for text processing and automation.
• Experience in working with large language models (LLMs) and generative AI to create efficient and scalable solutions.
• Strong problem-solving skills, with the ability to work independently and in teams.
• Excellent communication skills, with the ability to present complex data in a simple, actionable way to non-technical stakeholders.

If you’re excited about leveraging data and AI to solve real-world problems, we’d love to have you on our team!

We are looking for an AI Architect to join our team.

Responsibilities

• Architecture Design: Develop scalable and efficient AI architectures.
• Technical Guidance: Provide expertise and guidance to development teams.
• System Integration: Collaborate to integrate AI technologies into systems.
• Performance Optimization: Optimize AI models and infrastructure.
• Data Management: Manage large datasets for AI training.
• Ethical Considerations: Address ethical and privacy concerns.
• Technical Documentation: Create comprehensive technical documentation.
• Collaboration and Communication: Collaborate with stakeholders.
• Problem-Solving: Analyze and troubleshoot technical issues.
• Continuous Learning: Stay updated with AI advancements.

Requirements

• Education: Bachelors or masters degree in computer science or related field.
• Experience: 8+ years of experience with 3+ years as an architect. Extensive experience in Gen AI and LLM technologies, including exposure to open source LLMs is a must.
• Technical Expertise: Proficiency in NLP, machine learning, and deep learning. Familiarity with open source LLM frameworks like GPT-3/4 or similar models.
• Architectural Design: Ability to design scalable and efficient AI architectures.
• System Integration: Skill in integrating AI technologies, including open source LLMs, into new or existing systems.
• Performance Optimization: Experience in optimizing AI models and systems, including open source LLMs, for efficiency.
• Data Management: Knowledge of handling large datasets for Gen AI and LLM training, including open source LLMs.
• Ethical Considerations: Understanding of AI ethics and privacy concerns, particularly relevant to open source LLMs.
• Collaboration and Communication: Strong teamwork and communication skills.
• Problem-Solving: Aptitude for troubleshooting and resolving technical challenges related to open source LLMs.
• Continuous Learning: Willingness to stay updated with advancements in Gen AI, LLMs, and open source LLM technologies.

Position Overview:

We seek a talented and experienced professional to serve as the Head of Engineering and a Senior Backend Developer with expertise in Go (Golang). In this dual role, you will lead our engineering team and contribute hands-on to developing our B2B SaaS platform, which aims to revolutionize blue-collar worker training in India. You will work closely with cross-functional teams, set engineering standards, and ensure the successful execution of our technology initiatives.

As Head of Engineering:

• Oversee the recruitment, mentoring, and performance management of engineering team members.
• Define and maintain engineering best practices, coding standards, and development methodologies.
• Manage project timelines, resources, and budgets
• Foster a culture of innovation, collaboration, and continuous improvement within the engineering team.
• Drive technical decisions and architecture discussions to ensure scalability, security, and maintainability.

As Senior Backend Developer (Go):

• Design the architecture and implement high-performance, scalable, and reliable backend services in Go.
• Write clean, maintainable, and efficient code while ensuring the security and integrity of the platform.
• Optimize and fine-tune the backend components for maximum speed and scalability.
• Develop and maintain RESTful APIs for seamless integration with frontend and external systems.
• Implement asynchronous programming and event-driven architecture for handling concurrent requests efficiently.
• Work on data modelling and integration with databases for data storage and retrieval.
• Write unit tests and perform code reviews to maintain code quality and ensure robustness.

• Installing and maintaining the Oracle database software.
• Creating storage database structures with high-level security features.
• Altering storage structures to meet the evolving needs of the company.
• Setting up database user accounts.
• Training users on how to access the information in the database.
• Finding and debugging malfunctioning programs affecting the database integrity.
• Creating autonomous database backups.
• Regularly updating the database security protocols.

Roles and Responsibilities:

• Review training content and assessments. The review parameters include (but are not limited to) the following:

○ Rewrite the training content wherever necessary to simplify it or to make it more age

appropriate.

○ Create engaging learning activities and provide exercises and activities that enhance

the learning process.

○ Devise modes of assessment, such as tests or quizzes, to measure the effectiveness

of course.

○ Analyze and apply trends and best practices in learning technologies and instructional

design.

○ Suggest instructional enhancements to the content and assessments so the learning

experience is superior.

○ Check if all the training assets follow the instructional guidelines.

○ Work with subject matter experts to identify target audience’s training needs

○ Do a thorough language review.

○ Do a thorough formatting check and fixes.

• Brainstorm with the content developer to storyboard the concepts introduced in a lesson/chapter.
• Create guidelines and templates as and when needed.
• Conduct audits of the live classes to check how the content is getting translated into the actual class experience.
• Give inputs for process improvements.

Skill Set:

1. General:

• In-depth understanding of activity based teaching-learning methods with a strong knowledge of pedagogies to teach 21st Century Skills.
• At least 3-4 years of experience in instructional design and/or content writing.
• Experience in editing documents with an eye for details.
• Demonstrated ability to meet deadlines, handle and prioritize simultaneous requests, and manage laterally and upwards.
• Creative and analytical thinker with strong problem-solving skills.
• Excellent verbal and written communication skills.

○ Must demonstrate the ability to communicate effectively at all levels of the 

organization.

1. Technical:

• Understanding of Object-Oriented concepts.
• Basic understanding of core programming concepts with teaching skills will be an asset.
• Good exposure on-
  • Object-Oriented Programming language(s) (preferably JavaScript/Python)
  • Web Technology (HTML/CSS/JavaScript)- Front End Development
  • Block-Based Coding environment like Code.org or Scratch will be a plus
  • Knowledge of RDBMS (MySQL, Airtable, Firebase etc.) will be an added advantage