Senior Marketing Manager - Creative Agency

Job Location: Ahmedabad - WFO 

Job Description: 

Roles / Responsibilities:

• Create high-quality, Research based & engaging content, including Landing Pages, blogs, portfolio, case studies, guest blogging and more.
• Collaborate with the team to develop and execute the content.
• Updating website content as needed
• Create new content to assist marketing campaigns
• Work closely with marketing team members
• Optimize content using SEO best practices
• Conducting simple keyword research and use SEO guidelines to increase web traffic
• Present drafts and final deliverables to the internal team, and founders as needed, and participate in brainstorming sessions from time-to-time
• Revise copy based on feedback/direction
• Be willing to suggest creative ways to showcase our products to a distinct set of users and customers worldwide
• Ensure brand image and message is being maintained across all company communication

Requirements: 

• Exceptional proficiency in written and verbal English communication is essential.
• Proven Strong Written Communication Skills
• Minimum 3+ years Experience in Technical writing (with work samples)
• Knowledge of IT industry and jargons is desirable
• Familiarity with content management systems

• Full Stack Developer with a strong technical foundation in Angular, Java,Spring MVC, JPA. Spring Boot, REST API, Database, and CI/CD pipelines, Playwright
• Design, develop, and maintain full-stack applications using Angular (front-end) and Java Spring Boot (back-end). * At least 3 years of Hand-on Java EE and Core Java experience with strong leadership qualities.
• Experience with Web Service development, REST and Services Oriented Architecture.
• Expertise in Object Oriented Design, Design patterns, Architecture and Application Integration.
• Working knowledge of Databases including Design, SQL proficiency.
• Strong experience with frameworks used for development and automated testing like SpringBoot, Junit, BDD etc.
• Experience with Unix/Linux Operating System and Basic Linux Commands.
• Strong development skills with ability to understand technical design and translate the same into workable solution.
• Basic knowledge of Python/Python scripting
• Build, deploy, and monitor applications using CI/CD pipelines.
• Experience with agile development methodology.
• Good to Have Elastic Index Database, MongoDB - No SQL Database Docker Deployments, Cloud Deployments 

Full-Stack Machine Learning Engineer

Role: Full-Time, Long-Term Required: Python Preferred: C++

OVERVIEW

We are seeking a versatile ML engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build sophisticated production systems and grow with a small, focused team. You will work across the entire stack—from data ingestion and feature engineering through model training, validation, and deployment.

The ideal candidate combines strong software engineering fundamentals with deep ML expertise, particularly in time series forecasting and quantitative applications. You should be comfortable operating independently, making architectural decisions, and owning systems end-to-end.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency writing clean, production-grade code—not just notebooks. Deep understanding of NumPy, Pandas, and their performance characteristics. You know when to use vectorized operations, understand memory management for large datasets, and can profile and optimize bottlenecks. Experience with async programming and multiprocessing is valuable.

Machine Learning (Required): Hands-on experience building and deploying ML systems in production. This goes beyond training models—you understand the full lifecycle: data validation, feature engineering, model selection, hyperparameter optimization, validation strategies, monitoring, and maintenance.

Specific experience we value: gradient boosting frameworks (LightGBM, XGBoost, CatBoost), time series forecasting, probabilistic prediction and uncertainty quantification, feature selection and dimensionality reduction, cross-validation strategies for non-IID data, model calibration.

You should understand overfitting deeply—not just as a concept but as something you actively defend against through proper validation, regularization, and architectural choices.

Data Pipelines (Required): Design and implement robust pipelines handling real-world messiness: missing data, late arrivals, schema changes, upstream failures. You understand idempotency, exactly-once semantics, and backfill strategies. Experience with workflow orchestration (Airflow, Prefect, Dagster) expected. Comfortable with ETL/ELT patterns, incremental vs full recomputation, data quality monitoring, database design and query optimization (PostgreSQL preferred), time series data at scale.

C++ (Preferred): Experience valuable for performance-critical components. Writing efficient C++ and interfacing with Python (pybind11, Cython) is a significant advantage.

HIGHLY DESIRABLE: MULTI-AGENT ORCHESTRATION

We are building systems leveraging LLM-based automation. Experience with multi-agent frameworks highly desirable: LangChain, LangGraph, or similar agent frameworks; designing reliable AI pipelines with error handling and fallbacks; prompt engineering and output parsing; managing context and state across agent interactions. You do not need to be an expert, but genuine interest and hands-on experience will set you apart.

DOMAIN EXPERIENCE: FINANCIAL DATA AND CRYPTO

Preference for candidates with experience in quantitative finance, algorithmic trading, or fintech; cryptocurrency markets and their unique characteristics; financial time series data and forecasting systems; market microstructure, volatility, and regime dynamics. This helps you understand why reproducibility is non-negotiable, why validation must account for temporal structure, and why production reliability cannot be an afterthought.

ENGINEERING STANDARDS

Code Quality: Readable, maintainable code others can modify. Proper version control (meaningful commits, branches, code review). Testing where appropriate. Documentation: docstrings, READMEs, decision records.

Production Mindset: Think about failure modes before they happen. Build in observability: logging, metrics, alerting. Design for reproducibility—same inputs produce same outputs.

Systems Thinking: Consider component interactions, not just isolated behavior. Understand tradeoffs: speed vs accuracy, flexibility vs simplicity. Zoom between architecture and implementation.

WHAT WE ARE LOOKING FOR

Self-Direction: Given a problem and context, you break it down, identify the path forward, and execute. You ask questions when genuinely blocked, not when you could find the answer yourself.

Long-Term Orientation: You think in years, not months. You make decisions considering future maintainability.

Intellectual Honesty: You acknowledge uncertainty and distinguish between what you know versus guess. When something fails, you dig into why.

Communication: You explain complex concepts clearly and document your reasoning.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Physics, Engineering. Equivalent demonstrated expertise through work also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a production ML system you built, (3) Links to relevant work if available, (4) Availability and timezone.

We're hiring a Front End Developer for the Indore location to join our team!

Experience required: 2-4 Years

Job Location: Indore (Onsite)

#skillsrequired:- Reactjs, Next.js, Redux, Flux, HTML, CSS, JavaScript, Material-UI (MUI), Git, Webpack, Babel

#Requirements:

▫ Proficiency in React.js and its core principles

▫ Experience with popular React.js workflows (such as Redux, Flux, or Context API)

▫ Strong knowledge of HTML, CSS, and JavaScript

▫ Familiarity with the Next.js and Material-UI (MUI) framework

▫ Understanding of RESTful APIs and asynchronous request handling

▫ Experience with version control systems (e.g., Git)

▫ Knowledge of frontend build tools (e.g., Webpack, Babel)

▫ Ability to optimize applications for maximum speed and scalability

▫ Familiarity with browser rendering behavior and performance optimization techniques

▫ Excellent problem-solving and communication skills

▫ Experience with Agile/Scrum methodologies is a plus

Location- Gandhinagar/Pune

Roles and Responsibilities

 Document technically accurate content for products including User Manuals, Quick

guide

 Research and determine the technical documentation needs for the features

 Estimate efforts and deliver content on time

 Ensure quality of the documentation

 Execute day-to-day information engineering activities

 Create in-depth user guides, FAQs, technical overviews, and in-product help

documentation

 Identify problem areas or structural deficiencies and proactively contribute to their

improvement

 Experience creating infographics to more clearly communicate workflow processes

and abstract topics

 Build and maintain client aids that go beyond traditional documentation, such as online

video, demos, guided tours, and other other educational techniques

 Maintain a library of application documentation, cataloging it for internal and/or

external use

 Publish and maintain templates for written documentation produced by others

(technical specifications, RFP responses, ), ensuring a consistent "look and feel."

 Proven experience producing technical content for public consumption

Qualification

 Bachelors degree in Engineering/core sciences, or Masters in English

Language/Technical Communication

 5 to 7 years of experience in technical writing, with at least 3-4 years of experience

product documentation

Immediate joiners will be required