Head of Marketing

At Kitchen Spurs, the Catalog Lead owns how brands show up on Swiggy and Zomato. This role sits at the intersection of execution and strategy, ensuring menus are not just updated, but positioned to convert, scale, and drive contribution margins.

What you’ll do

• Own end-to-end catalog management across Swiggy, Zomato, and POS systems
• Lead and manage a team of catalog executives/interns, ensuring accuracy, speed, and accountability
• Ensure menu accuracy, hygiene, and timely updates across all outlets
• Drive menu structuring, naming, tagging, and categorisation for better discoverability
• Execute and review image uploads, tagging, and optimisation as per platform guidelines
• Identify gaps in menu mix using data and competitor benchmarking
• Work closely with Client Success team to implement growth-driven catalog changes
• Manage bulk updates, pricing changes, combos, and add-ons efficiently
• Build, maintain, and enforce SOPs across all catalog workflows
• Allocate tasks, manage team bandwidth, and ensure TAT adherence
• Act as the backend execution engine for marketplace operations

What we’re looking for

• 2+ years of experience in e-commerce catalog management, marketplace ops, or F&B backend roles
• Experience in agency or marketplace ops, managing multiple clients with ownership over execution and retention
• Strong understanding of food menu positioning & pairings
• Ability to manage and mentor junior team members or interns
• High attention to detail with a zero-error mindset
• Comfortable with Excel/Google Sheets/Computer tools/AI tools for bulk actions and tracking
• Ability to understand what sells, not just what exists on a menu
• Strong ownership and ability to handle multiple brands/outlets

What success looks like

• Zero errors in live menus across all managed outlets
• Fast and reliable turnaround on all catalog updates
• Improved menu conversion through better structuring and positioning
• A well-managed team delivering consistent, high-quality output
• Strong collaboration with Client Success to drive measurable impact

Why this role matters

Menus are not static. They are a restaurant's digital storefront, their pitch, and conversion engine. This role ensures every brand we work with shows up right, sells optimally, and grows profitably.

Perks and benefits

Join an early-stage startup with a focus on creating value rather than just valuations, enjoy free snacks and unlimited coffee, work directly with the founder as part of the founding team; Play your hand in being a product intern and build meaningful relationships with key stakeholders in prominent restaurants across the country.

Benefits:

• Cell phone reimbursement
• Paid sick time
• Provident Fund
• Work from home days

Work Location: Marol, Mumbai

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.

Responsibilities

• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.

• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.

• Fine-tune pre-trained models and develop custom models based on specific business needs.

• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.

• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.

• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.

• Ensure scalability and performance of deployed AI solutions within the full application stack.

• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.

• Design and implement APIs or services that expose machine learning models to frontend or other systems

• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.

• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.

• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.

• Document processes, methodologies, and results for future reference and reproducibility.

Required Skills & Qualifications

• Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.

• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.

• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.

• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.

• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.

• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.

• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.

• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.

• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.

• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.

• Understanding of system design and software architecture for integrating AI into production environments.

• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).

• Demonstrated projects where AI models were part of deployed user-facing applications.

• NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.

• Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.

Nice to Have

• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.

• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.

• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).

• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.

• Solid understanding of statistics and probability.

• Experience working in Agile development environments.

What You'll Gain

• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.

• Collaborate with a diverse, highly skilled team in a fast-paced environment.

• Opportunity to work on impactful projects with real-world applications.

• Competitive salary and career growth opportunities

5+ years of experience designing, developing, validating, and automating ETL processes 3+ years of experience traditional ETL tools such as Visual Studio, SQL Server Management Studio, SSIS, SSAS and SSRS 2+ years of experience with cloud technologies and platforms, such as: Kubernetes, Spark, Kafka, Azure Data Factory, Snowflake, ML Flow, Databricks, Airflow or similar Must have experience with designing and implementing data access layers Must be an expert with SQL/T-SQL and Python Must have experience in Kafka Define and implement data models with various database technologies like MongoDB, CosmosDB, Neo4j, MariaDB and SQL Serve Ingest and publish data from sources and to destinations via an API Exposure to ETL/ELT with using Kafka or Azure Event Hubs with Spark or Databricks is a plus Exposure to healthcare technologies and integrations for FHIR API, HL7 or other HIE protocols is a plus

Skills Required :

Designing, Developing, ETL, Visual Studio, Python, Spark, Kubernetes, Kafka, Azure Data Factory, SQL Server, Airflow, Databricks, T-SQL, MongoDB, CosmosDB, Snowflake, SSIS, SSAS, SSRS, FHIR API, HL7, HIE Protocols

software development and automated testing Proficient in Big Data technologies Designs, codes, tests, corrects and documents large and/or complex programs and program modifications from supplied specifications using agreed standards and tools, to achieve a well engineered result Proficient and Hands-on Data Warehousing,

Experience with Agile development, Continuous Integration, and Continuous Delivery Ability to effectively interpret technical and business objectives and provide solutions Strong communication skills, with ability to articulate technical solutions effectively across diverse group of stakeholders

Need to be a fast learner willing to adapt to evolving needs of the developer community.

Thanks & Regards

snehalata verma

IT Recruiter --HrBizHub

Global IP Partners is Hiring Freshers for the following position:

Data Entry Operator- Fresher (0+ Years of experience required)

#location: Mohali/Chandigarh

#5days working from office

#dayshift

#education #qualification: High School graduate (12th)

#skillsrequired :

Good knowledge of Microsoft Office (Microsoft Excel, Microsoft Word).

Good written and verbal communication skills.

Good Typing speed.

#Refrences are always welcomed!

Interested candidates kindly apply.

Position: Senior Backend Developer: Ruby On Rails

At ReDesyn we’re building a creator economy PaaS that turns creators into creator-preneurs by enabling commerce & fan monetisation features for them in a creator super app! With 10k+ creators and 100,000+ customers, we're expanding our team & looking for experienced professionals to join us in Thane.

Details:-

Package: 15-18 LPA

Travel to Thane: Mandatory, Mon-Sat 10 am to 7 pm.

Work Experience: 3+ years

Joining: within 30-60 days

JD:-

ReDesyn is seeking a highly skilled senior Ruby on Rails Developer to join our dynamic team. As a Ruby on Rails Developer, you will play a crucial role in managing data interchange, maintaining our central database, and ensuring optimal server-side performance to meet front-end demands.

Responsibilities:

• Design, develop, and maintain efficient, reusable, and reliable Ruby code.
• Integrate data storage solutions seamlessly.
• Collaborate with front-end developers to integrate user-facing elements with server-side logic.
• Identify and resolve bottlenecks and bugs effectively.
• Contribute to code quality, organization, and automation efforts.

Requirements:

• 3-5 years of experience as a Ruby on Rails Developer or similar role, with software development and infrastructure knowledge as a plus.
• Proficiency in Ruby on Rails, along with standard libraries like RSpec and Devise.
• Strong grasp of Ruby syntax and its nuances.
• Solid understanding of object-oriented programming.
• Familiarity with server-side templating languages (e.g., Liquid, Slim).
• Knowledge of server-side CSS preprocessors.
• Basic understanding of front-end technologies, including JavaScript, HTML5, and CSS3.
• Familiarity with MVC, Mocking, ORM, and RESTful concepts.
• A passion for writing clean, readable Ruby code.
• Ability to integrate multiple data sources and databases into a cohesive system.
• Understanding of fundamental design principles for scalable applications.

If you are a talented Ruby on Rails Developer with a passion for building high-performance, responsive applications, we encourage you to apply. Join our team and be part of our exciting journey in building India's coolest pop culture creator super app.

Is software engineering your passion? Are you always hungry for challenges? Do you like to take risks?  Do you always crave to learn more and more? Do you like to help others solve their problems? Do you like to solve complex problems by simple methods?

• Culture to promote learning and growth by relentless focus on innovation.
• A team of aces to work with
• Streamlined engineering processes woven around Agile methodology with the help of tools
• Design led engineering focus
• Opportunity to work on B2B and B2C products in various domains like healthcare & education

• Opportunity to work on cutting edge technologies 

You have:

• Proficiency in Angular 4+, Typescript, JavaScript, JQuery, HTML/CSS
• Thorough understanding of OOJS & commonly used design principles and design patterns
• Working knowledge of State management using NgRxState management & custom npm packages
• Hands on ES6 features to reduce code and keep code clean
• Working knowledge of RxJS
• Working experience in writing automated unit tests using Jasmine, Mocha or any other similar framework.
• Experience of integrating RESTful Web APIs in Web Application.
• Written efficient and production ready code
• Working experience building high performance and scalable applications
• Ability to troubleshoot and debug application for functional and common problems
• At least 6 years of experience in software development 
• Knowledge of databases - NoSQL or RDBMS. 
• Experience working with version control like Git / Bitbucket
• Experience working in Agile Scrum Methodology
• Excellent written and verbal communication skills 

• Experience working on Web APIs
• Working knowledge of modern programming/scripting languages and runtime environments including node.js, Python/Ruby/Java, and experience in mid-tier web services development.
• Experience building proof of concepts, architecting new systems, and improving existing systems to solve business problems and support scaling
• Exposure to various tools that help in maintaining code quality like SonarQube
• Exposure with Atlassian JIRA application lifecycle management tool
• Exposure to Cloud Platforms like Azure or AWS or GCP