Marketing Strategist

Role: Marketing Executive

Key Responsibilities:

1. Manage and grow B2B-focused social media presence

2. Build and nurture industry, media, and influencer relationships within the B2B ecosystem

3. Plan and execute B2B events, partnerships, and collaborations

4. Drive brand visibility among business leaders, decision-makers, and partners

5. Work closely with internal teams for aligned brand communication

6. Track engagement, reach, and PR outcomes and share insights

Requirements:

1. 0.5–2 years of experience in social media, PR, or brand communications (fresh talent welcome)

2. Exposure to or strong interest in B2B branding and networking

3. Comfortable engaging with CXOs, founders, and business professionals

4. Strong communication and relationship-building skills

5. High ownership mindset with the ability to work independently

. Must have worked in Aerospace/Aviation industry

1) Familirity with Testing methodologies (ATSM , JAR/CS-25)

2) Familirity with EM I/EMC Compliance as per MIL-STD-461 F

Job Title: Full Stack Engineer

Location: Delhi-NCR

Type: Full-Time

Responsibilities

Frontend:

• Develop responsive, intuitive interfaces using HTML, CSS (SASS), React, and Vanilla JS.
• Implement real-time features using sockets for dynamic, interactive user experiences.
• Collaborate with designers to ensure consistent UI/UX patterns and deliver visually compelling products.

Backend:

• Design, implement, and maintain APIs using Python (FastAPI).
• Integrate AI-driven features to enhance user experience and streamline processes.
• Ensure the code adheres to best practices in performance, scalability, and security.
• Troubleshoot and resolve production issues, minimizing downtime and improving reliability.

Database & Data Management:

• Work with PostgreSQL for relational data, ensuring optimal queries and indexing.
• Utilize ClickHouse or MongoDB where appropriate to handle specific data workloads and analytics needs.
• Contribute to building dashboards and tools for analytics and reporting.
• Leverage AI/ML concepts to derive insights from data and improve system performance.

General:

• Use Git for version control; conduct code reviews, ensure clean commit history, and maintain robust documentation.
• Collaborate with cross-functional teams to deliver features that align with business goals.
• Stay updated with industry trends, particularly in AI and emerging frameworks, and apply them to enhance our platform.
• Mentor junior engineers and contribute to continuous improvement in team processes and code quality.

Role Overview

We're looking for a highly motivated AI Intern to join our dynamic team. This isn't your average internship; you'll be diving headfirst into the exciting world of Natural Language Processing (NLP) and Large Language Models (LLMs). You will work on real-world projects, contributing directly to our core products by researching, developing, and fine-tuning state-of-the-art language models. If you're passionate about making machines understand and generate human language, this is the perfect role for you!

Skills Needed:

1. Python
2. ML
3. NLP
4. LLM Fine-Tuning
5. Fast API

What You'll Do (Key Responsibilities)

Develop & Implement LLM Models: Assist in building and deploying LLM solutions for tasks like sentiment analysis, text summarization, named entity recognition (NER), and question-answering.

Fine-Tune LLMs: Work hands-on with pre-trained Large Language Models (like Llama, GPT, BERT) and fine-tune them on our custom datasets to enhance performance for specific tasks.

Data Pipeline Management: Be responsible for data preprocessing, cleaning, and augmentation to create high-quality datasets for training and evaluation.

Experiment & Evaluate: Research and experiment with different model architectures and fine-tuning strategies (e.g., LoRA, QLoRA) to optimize for accuracy, speed, and cost.

Collaborate & Document: Work closely with our senior ML engineers and data scientists, actively participating in code reviews and clearly documenting your findings and methodologies.

Must-Have Skills (Qualifications)

Strong Python Proficiency: You live and breathe Python and are comfortable with its data science ecosystem (Pandas, NumPy, Scikit-learn).

Solid ML & NLP Fundamentals: A strong theoretical understanding of machine learning algorithms, deep learning concepts, and core NLP techniques (e.g., tokenization, embeddings, attention mechanisms).

Deep Learning Frameworks: Hands-on experience with either PyTorch or TensorFlow.

Familiarity with LLMs: You understand the basics of transformer architecture and have some exposure to working with or fine-tuning Large Language Models.

Problem-Solving Mindset: An analytical and curious approach to tackling complex challenges.

Educational Background: Currently pursuing or recently graduated with a degree in Computer Science, AI, Data Science, or a related technical field.

Brownie Points For (Preferred Skills)

Experience with the Hugging Face ecosystem (Transformers, Datasets, Tokenizers).

A portfolio of personal or academic projects on GitHub showcasing your AI/ML skills.

Familiarity with vector databases (e.g., Pinecone, ChromaDB).

ob Description

Work Location : India/Remote 

Work Timing : 6:00 PM 3:00 AM IST (US Shift)

As a product engineer, you will be responsible for continuous improvement of Cashfree experience for all our customers and end-users. You will dream big but identify and take small steps towards achieving that goal. You will receive great feedbacks at every step of the development cycle from your peers to our customers and end-users.

You may be working on architecting the money disbursement flow or creating most-friendly interface for consumer payment. All our engineers identify as generalist and building products that are useful and delightful are core to our engineering culture.

You're more than a coder. You wil be part of entire product process, from conceptualizing till post-launch evaluation. You should have deep empathy for the users to minimize the gap between what we build and what they need. Have sound judgement to balance between code writing speed and it's maintainability. Knowledge of variety of server-side/frontend frameworks is desirable but not compulsory.