11+ Mailchimp Jobs in Delhi, NCR and Gurgaon | Mailchimp Job openings in Delhi, NCR and Gurgaon

Job Description:

• Create email marketing campaigns to promote products or services.
• Ensure marketing message is conveyed clearly and delivered properly to prospects.
• To fix bad domain reputation, IP reputation
• Knowledge of Spam rate, resolving any impromptu issue related to the backend of email marketing
• Follow up on interested respondents.
• Purge non-deliverable email addresses and opt-outs.
• Track and analyze direct and interactive marketing campaigns.
• Use statistical analysis and reports to create campaigns.
• Provide recommendations for new and existing campaigns including triggers, and automation
• Build creative, messaging, and content for campaigns using email and automated marketing

Required Candidate Profile:

1. Minimum 1 year of experience in Email marketing, bulk emailing & email campaigns.
2. Should have experience in generating leads through email marketing, Data mining, and database development using different tools.
3. Should have knowledge of lead data extraction from search engines and other lead portals.

About the role

Webnyay is looking for an experienced Backend Developer to build and scale reliable backend systems for our legal tech platform. You will work on core product architecture, high-performance APIs, and cloud-native services that support AI-driven workflows and large-scale data processing.

Responsibilities

• Develop backend services using Python, Django, and FastAPI
• Build scalable APIs and microservices for product features
• Implement event-driven and asynchronous workflows using Kafka
• Design and maintain backend integrations and data pipelines
• Deploy and manage services on Google Cloud Platform (GCP)
• Ensure performance, security, and reliability of backend systems
• Collaborate with product and engineering teams to deliver production-ready features

Requirements

• 4+ years of backend development experience
• Strong proficiency in Python
• Hands-on experience with Django and FastAPI
• Experience working with Kafka or similar messaging systems
• Working knowledge of GCP and cloud-based deployments
• Solid understanding of backend architecture and API design
• Experience with databases and production systems
• Experience building SaaS or platform-based products
• Exposure to AI-driven or data-intensive applications

Why Webnyay

• Build technology that improves access to justice
• Work on real-world, high-impact legal tech problems
• Collaborative and ownership-driven work culture
• Opportunity to grow with a fast-scaling startup

AuxoAI is seeking a Senior Applied Scientist to design and deploy structured knowledge systems that enable reliable, schema-grounded AI and agent reasoning.

This role sits at the intersection of large language models, knowledge graphs, semantic architectures, and hybrid retrieval systems. The ideal candidate will build systems that transform unstructured data into structured knowledge representations, enforce semantic constraints, and enable hybrid symbolic–neural reasoning in production environments.

You will play a key role in designing scalable semantic infrastructures that support advanced AI use cases such as GraphRAG pipelines, structured extraction, and agent reasoning workflows.

You will work on problems where existing architectures may not be sufficient and will experiment with new approaches that combine machine learning, knowledge graphs, semantic constraints, and classical AI techniques to build reliable, production-grade systems.

Location - Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)

Responsibilities:

• Design schema-guided information extraction systems using zero-shot and few-shot structured prompting, constrained decoding approaches such as JSON schema enforcement or grammar-based decoding, and function-calling or tool-driven extraction techniques.
• Develop recursive or multi-stage extraction pipelines capable of handling nested entities, hierarchical structures, and cross-document relationships.
• Build ontology-driven systems using frameworks such as LinkML, OWL, SHACL, or similar schema modeling tools, and implement knowledge representations using RDF triples or labeled property graphs.
• Design and optimize entity resolution algorithms using techniques such as blocking strategies, embedding similarity, and rule-based matching.
• Develop ontology alignment techniques and graph embedding models such as Node2Vec or TransE-style approaches where appropriate.
• Design hybrid retrieval architectures combining dense vector retrieval, sparse retrieval techniques, and graph traversal algorithms such as BFS, DFS, path ranking, and neighborhood expansion.
• Build validation systems that enforce schema conformance, detect semantic inconsistencies, and reduce hallucinated or invalid structured outputs.
• Integrate structured knowledge systems into GraphRAG pipelines, agent planning frameworks, and tool-selection workflows.
• Deliver production-grade semantic systems with clear targets for latency, scalability, reliability, and data integrity.

Requirements

• 5+ years of experience building production AI or machine learning systems.
• Strong experience designing and implementing knowledge graphs or ontology-driven architectures.
• Hands-on experience implementing structured extraction techniques, including grammar-constrained decoding, JSON schema enforcement, or AST-style parsing approaches.
• Experience building entity resolution systems beyond simple embedding similarity methods.
• Experience working with graph query languages such as SPARQL or Cypher and optimizing graph query performance.
• Familiarity with RDF, OWL, or property graph data models and semantic data architectures.
• Strong Python engineering skills, with emphasis on data validation, schema integrity, and system reliability.
• Experience designing hybrid symbolic and neural AI systems.

Nice to Have:

• Experience implementing graph algorithms such as PageRank, community detection, or shortest-path algorithms for reasoning chains.
• Experience building graph-enhanced retrieval systems such as GraphRAG.
• Experience designing compositional semantic extraction pipelines.
• Experience implementing reasoning engines or rule-based inference systems.
• Experience benchmarking and evaluating structural extraction accuracy and consistency.

🚀 We’re Hiring: Senior Cloud & ML Infrastructure Engineer 🚀

We’re looking for an experienced engineer to lead the design, scaling, and optimization of cloud-native ML infrastructure on AWS.

If you’re passionate about platform engineering, automation, and running ML systems at scale, this role is for you.

What you’ll do:

🔹 Architect and manage ML infrastructure with AWS (SageMaker, Step Functions, Lambda, ECR)

🔹 Build highly available, multi-region solutions for real-time & batch inference

🔹 Automate with IaC (AWS CDK, Terraform) and CI/CD pipelines

🔹 Ensure security, compliance, and cost efficiency

🔹 Collaborate across DevOps, ML, and backend teams

What we’re looking for:

✔️ 6+ years AWS cloud infrastructure experience

✔️ Strong ML pipeline experience (SageMaker, ECS/EKS, Docker)

✔️ Proficiency in Python/Go/Bash scripting

✔️ Knowledge of networking, IAM, and security best practices

✔️ Experience with observability tools (CloudWatch, Prometheus, Grafana)

✨ Nice to have: Robotics/IoT background (ROS2, Greengrass, Edge Inference)

📍 Location: Bengaluru, Hyderabad, Mumbai, Pune, Mohali, Delhi

5 days working, Work from Office

Night shifts: 9pm to 6am IST

👉 If this sounds like you (or someone you know), let’s connect!

Apply here:

In this role, you will:

• Integrate user-facing elements developed by front-end developers.
• Build efficient, testable, and reusable PHP modules.
• Solve complex performance problems and architectural challenges.
• Integrate data storage solutions.

You may be a fit if you have:

• 2 – 4 years of experience in building PHP web frameworks such as Lavarel.
• Understand the fully synchronous behavior of PHP.
• Understanding of MVC design patterns
• A proficient understanding building rich UI & front-end technologies, such as JavaScript,

HTML5, and CSS3.

• Working knowledge of object-oriented PHP programming
• Understanding of accessibility and security compliance.
• Strong knowledge of the common PHP or web server exploits and their solutions.
• Experience in using fundamental design principles for a scalable application.
• Knowledge of user authentication and authorization between multiple systems, servers, and environments.

• Knowledge of Integrating multiple data sources and databases into one system.
• Familiarity with limitations of PHP as a platform and its workarounds.
• Understanding of creating database schemas that represent and support business processes.
• Familiarity with SQL/NoSQL, Postgresql databases and their declarative query languages

• Architect and install new infrastructure
• Design and build reusable and efficient ruby code
•  Plan and implement new features
•  Integrate data sources and databases in one system
• Identify the bugs and propose the solution for problems

• Work directly with the business and design teams
•  Be involved in the complete product lifecycle – from design to development to deployment and feedback
• Work on a wide variety of features
• Get complete accountability of product development

• As a developer in a funded product company, you will find immense avenues of growth, in the form of knowledge, exposure to different technology, exposure to different products, career progression, and aggressive monetary growth based on performance.
•  All 10x engineers will get unparalleled career growth and will outperform their batchmates by two times.
• You will have a structured growth path
• Work on small tasks in month 1
• Work on a complete feature in the next few months
• Get complete accountability of a product in 3 to 6 months
• Lead a product stream in 6 months to 1 year
• Lead a development team

What you need to have: