11+ Business marketing Jobs in India

What We’re Looking For :-

• 4–6 years of experience in performance marketing, ideally in a high-growth D2C, e-commerce, or startup environment.
• Proven expertise in managing large-scale paid media campaigns across Meta and Google Ads (experience with additional platforms is a plus).
• Strong analytical mindset with deep knowledge of attribution models, customer acquisition, and conversion funnels.
• A creative and collaborative approach to working with design and content teams.

Key Responsibilities:-

• Lead the planning, execution, and optimization of paid campaigns across Meta, Google, and other relevant channels.
• Manage marketing budgets effectively while monitoring key KPIs (CAC, ROAS, CTR, CR) and reporting performance metrics regularly.
• Continuously test and refine ad creatives, audiences, ad placements, and bidding strategies to maximize impact.
• Analyze campaign performance using tools such as GA4, Meta Ads Manager, and attribution platforms.
• Partner with creative and content teams to develop high-performing ad assets.
• Collaborate cross-functionally with retention, product, and design teams to optimize the full-funnel experience, including landing pages.

Job Description:

We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems. 

This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production. 

You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability. 

Key Responsibilities

AI & Agentic Infrastructure 

• Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows. 
• Build scalable runtime environments for LLM orchestration frameworks. 
• Enable deployment of AI copilots, assistants, and autonomous decision systems. 

Common frameworks may include: 

• LangChain 
• LlamaIndex 
• AutoGPT 

LLMOps & AI Model Lifecycle 

Design and manage LLMOps pipelines for the full lifecycle of large language models: 

• Model deployment 
• Prompt management 
• Versioning 
• Evaluation and testing 
• Model monitoring 

Integrate with AI platforms such as: 

• Azure Machine Learning 
• Amazon SageMaker 
• Vertex AI 

Retrieval-Augmented Generation (RAG) Infrastructure 

Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs. 

Responsibilities include: 

• Document ingestion pipelines 
• Embedding generation workflows 
• Knowledge indexing 
• Query orchestration 
• Retrieval optimization 
• Support scalable semantic search architectures. 

Vector Database & Knowledge Infrastructure 

Deploy and manage vector databases used for AI applications and semantic retrieval. 

Common technologies include: 

• Pinecone 
• Weaviate 
• Milvus 
• FAISS 

Responsibilities include: 

• Index optimization 
• Query latency tuning 
• Scalable embedding storage 
• Hybrid search architecture 

Multi-Cloud AI Infrastructure 

Design and maintain AI-ready infrastructure across: 

• Amazon Web Services 
• Microsoft Azure 
• Google Cloud Platform 

Key responsibilities include: 

• GPU infrastructure management 
• Distributed training environments 
• Hybrid cloud integrations with on-prem data centers 
• Infrastructure scaling for AI workloads 

Data Platforms & Integration 

• Support deployment and optimization of data lakes, data warehouses, and streaming platforms. 
• Work with data engineering teams to ensure secure and scalable data infrastructure. 

Cloud Architecture & Infrastructure 

• Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud. 
• Build hybrid cloud architectures integrating on-premise environments with cloud platforms. 
• Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads. 

DevOps, Platform Engineering & Automation 

Build automated cloud infrastructure using modern DevOps practices. 

Tools may include: 

• Terraform 
• Docker 
• Kubernetes 
• GitHub Actions 

Responsibilities include: 

• Infrastructure as Code (IaC) 
• Automated deployments 
• CI/CD pipelines for AI models and services 
• Platform reliability and scalability 

AI Observability & Monitoring 

Implement observability frameworks to monitor AI systems in production. 

This includes: 

• Model performance monitoring 
• Prompt evaluation 
• Hallucination detection 
• Latency and throughput analysis 
• Cost monitoring for LLM usage 

Tools may include: 

• Arize AI 
• WhyLabs 
• Weights & Biases 

Security, Governance & Responsible AI 

Ensure AI systems follow strong governance and security practices. 

Responsibilities include: 

• Data privacy and compliance 
• Model governance frameworks 
• Secure model deployment 
• Monitoring model bias and drift 
• AI risk management 

Support enterprise frameworks for Responsible AI and AI compliance. 

Data & Security 

• Experience with data lake architectures, distributed storage, and ETL pipelines 
• Knowledge of data security, encryption, IAM, and compliance frameworks 
• Familiarity with AI governance and responsible AI practices 

Required Skills 

Cloud & Infrastructure 

• Strong experience in Azure (must have), AWS or GCP 
• Hybrid and multi-cloud architecture 
• GPU infrastructure management 

DevOps & Automation 

• Kubernetes 
• Docker 
• Terraform 
• CI/CD pipelines 

AI / ML Platforms 

• MLOps pipelines 
• Model deployment 
• Model monitoring 

AI Application Infrastructure 

• Vector databases 
• RAG pipelines 
• LLM orchestration frameworks 

Programming 

Experience in one or more languages: 

• Python 
• Go 
• Java 
• TypeScript 

Preferred Qualifications 

• Experience building AI copilots or autonomous agents 
• Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training 
• Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability 
• Experience building enterprise AI platforms 

Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
• 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering 
• Experience working in data-driven or AI-focused environments 

What Success Looks Like 

• Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms 
• Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products 
• Secure and scalable AI-ready cloud platforms 
• Strong automation and governance across cloud and AI systems 

📢 Hiring: React Native Developer at Deqode

🔷 Experience- 2.5+ Years

🔷 Location- Jaipur ( Only Jaipur-based candidates)

🔷 Mode- 5 Days WFO

(Only immediate joiners & candidates serving notice period)

✅ Key Responsibilities:

- Design, build, and maintain high-performance React Native Android, iOS, and tablet applications.

- Develop responsive UI and manage complex business logic using JavaScript and TypeScript.

- Follow scalable architecture patterns like Atomic Design and Wix.

- Integrate third-party services: OAuth, SSO, REST APIs, Firebase, Push Notifications, etc.

- Manage app signing, deployment, and updates on the Play Store and App Store.

- Independently handle the complete app development lifecycle.

- Collaborate closely with designers, backend developers, and QA teams.

Job Summary:

We are looking for a highly motivated Sales Executive to maintain and develop B2B customer relationships within the food ingredients segment, including Bakery, Protein, Snacks, Premix, Beverages, RTD, RTE, QSR, and online food businesses. The candidate will drive introductions of new ingredients and concepts to existing and new customers, ultimately growing the business in line with company sales policies.

Key Responsibilities:

1. Manage sales operations by exploring customer needs and requirements.
2. Align sales strategy with marketing approach, including product/market segmentation, pricing, positioning, and business drivers.
3. Continuously monitor market trends and competitors to provide value-added solutions.
4. Translate sales budgets into actionable objectives, focusing on customer centricity.
5. Take direct responsibility for sales targets and ensuring a superior customer experience.
6. Drive new business development through concept selling and build a robust project pipeline for ingredients.
7. Collaborate cross-functionally across the organization to create distinctive value.

Requirements / Skills:

• Strong understanding of B2B sales in the food ingredients or related industry.
• Excellent communication, negotiation, and presentation skills.
• Ability to work independently and in a team, manage multiple accounts, and meet targets.
• Market awareness and strategic thinking to compete effectively.

Additional Notes:

• Freshers can apply for Mumbai location and New Delhi.
• Male candidates only.

Role: Senior AI Engineer

Work Location: TechGenzi Coimbatore Office (ODC for Tiramai.ai)

Employment Type: Full-time

Experience: 2–5 years (Full-stack development with AI exposure)

About the Role & Work Location.

The selected candidate will be employed by Tiramai.ai and will work exclusively on Tiramai.ai projects. The role will be based out of TechGenzi’s Coimbatore office, which functions as an Offshore Development Center (ODC) supporting Tiramai.ai’s product and engineering initiatives.

Primary Focus

As an AI Engineer at our enterprise SaaS and AI-native organization, you will play a pivotal role in building secure, scalable, and intelligent digital solutions. This role combines full-stack development expertise with applied AI skills to create next-generation platforms that empower enterprises to modernize and act smarter with AI. You will work on AI-driven features, APIs, and cloud-native applications that are production-ready, compliance-conscious, and aligned with our mission of delivering responsible AI innovation.

Key Responsibilities

• Design, develop, and maintain full-stack applications using Python (backend) and React/Angular (frontend).
• Build and integrate AI-driven modules, leveraging GenAI, ML models, and AI-native tools into enterprise-grade SaaS products.
• Develop scalable REST APIs and microservices with security, compliance, and performance in mind.
• Collaborate with architects, product managers, and cross-functional teams to translate requirements into production-ready features.
• Ensure adherence to secure coding standards, data privacy regulations, and human-in-the-loop AI principles.
• Participate in code reviews, system design discussions, and continuous integration/continuous deployment (CI/CD) practices.
• Contribute to reusable libraries, frameworks, and best practices to accelerate AI platform development.

Skills Required

• Strong proficiency in Python for backend development.
• Frontend expertise in React.js or Angular with 2+ years of experience.
• Hands-on experience in full SDLC development (design, build, test, deploy, maintain).
• Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) or GenAI tools (LangChain, vector DBs, OpenAI APIs).
• Knowledge of cloud-native development (AWS/Azure/GCP), Docker, Kubernetes, and CI/CD pipelines.
• Strong understanding of REST APIs, microservices, and enterprise-grade security standards.
• Ability to work collaboratively in fast-paced, cross-functional teams with strong problem-solving and analytical skills.
• Exposure to responsible AI principles (explainability, bias mitigation, compliance) is a plus.

Growth Path

• AI Engineer (24 years) focus on full-stack + AI integration, delivering production-ready features.
• Senior AI Engineer (4–6 years) lead modules, mentor juniors, and drive AI feature development at scale.
• Lead AI Engineer (6–8 years) own solution architecture for AI features, ensure security/compliance, collaborate closely with product/tech leaders.
• AI Architect / Engineering Manager (8+ years) shape AI platform strategy, guide large-scale deployments, and influence product/technology roadmap.

Requirements:

Java developer responsibilities include designing, developing, Testing and delivering high-volume, low-latency applications for mission-critical systems.

1. Proven hands-on Software Development experience

2. Proven working experience in Java development

3. Hands on experience in developing applications using Java EE platforms

4. Profound insight of Java and JEE internals (Classloading, Memory Management, Transaction management etc)

5. Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate)

6. Experience in the Spring Framework

About us:

Company website: https://www.neulife.com/">https://www.neulife.com/

INNOVERTUS NUTRITION TECHNOLOGIES INDIA PVT.LTD. is the leading Indian company in the field of sports nutrition products and dietary supplements. Incorporated over a decade ago, we are pioneers in introducing the concept of sports nutrition as well as educating the mass about the need to be fit and healthy, thus facilitating and educating the mass to make a choice in investing to live a healthy lifestyle. 

Our culture encourages employees to dream big, perform with excellence and build incredible products. We provide the resources, support, and the focus. You bring the passion and courage to envision limitless possibilities and we’ll build a better tomorrow with you.

Are you passionate about making a difference? Are you looking for a growth opportunity where you can apply your expertise? 

On our team, you will perform as a Manufacturing Planner / Production Controller supporting manufacturing operations. This role will require you to be organized with exceptional attention to detail. You will collaborate with manufacturing, research and other key essential team members supporting manufacturing.

We are seeking a Production, Planning & Inventory control Associate (PPIC)  who is responsible for accurate record keeping of a live inventory 

• Manage the planning and flow of material and FGs (finished Goods) to maximize on-time deliver to customers and optimizes inventory/working capital performance.
• You will identify and resolve resource conflicts, material availability and manufacturing issues.
• You will maintain ERP system integrity to ensure the optimization of the planning, execution, and control of production schedules.
• Track shipments, transfers, PO’s, inventory levels and physical inventory counts for multiple locations. Communicating with location managers to maintain required inventory levels between the various locations.
• Manages a team of buyers, planners, inventory control. Suggest and lead continuous improvement for the department and others.
• Measures and manages the performance of materials indirect and direct support teams.
• Identify, share and implement best in class supply chain practices.
• Develops standard work, policies and procedures in collaboration with other facilities Manager, Production Control Logistics and professional supply chain resources.
• Suggest and lead continuous improvement for the department and others.
• Manage Supplier held inventory programs to improve delivery, reduce lead-times and avoid risk
• Collaborate with other departments to drive continuous improvement.
• Collaborate with other facilities and regions to optimize inventory.\
• Stock Management & Update Stock Sheet in MS Excel.
• Achieving the Production Target & resolved client issue by close interaction with Production, Planning, Purchase & Sales Department.
• Implementation of 5’S, Continuous improvement related to Cost, Quality, safety & related Processes to increase productivity.
• Coordinating with Vendors and Clients

Skills & Qualification:

• Bachelor’s degree in Business Administration, Supply Chain Management or related discipline required.
• MBA or related advanced degree preferred.
• Entrepreneurial, optimistic and can work independently with minimal supervision.
• Exemplary leadership, motivation
• Experience with ERP or comparable production software.
• Minimum 3 – 5 years’ experience within the manufacturing, distribution, and/or service industry.

Location: Mumbai

Remuneration and benefits are competitive
if interested, Share your CV

Job Location: 

Head office: 

INNOVERTUS NUTRITION TECHNOLOGIES INDIA PVT.LTD

1st Floor, Kagalwala House,

Plot No. 175,

Behind Metro House CST Road, 

Kalina, Bandra Kurla Complex,

Santacruz East,

Mumbai, Maharashtra 400098  

Lead QA: more than 5 years experience , led the team of more than 5 people in big data platform, should have experience in Test Automation framework, should have experience of Test process documentation

Roles and Responsibility

1. Looking after entire field operations

2. Coordinate with the sales and technical team to resolve the issues.

3. Take full ownership of keeping the designated clients to keep them hooked to the solution provided by the company.

4. Addressing customer inquiries, concerns and suggestions.

5. Detect repetitive issues and finding a relevant solution for that.

6. Work along with the tech team to fine issues w.r.t to the product and make it stable.

7. Analyze and summarise the day’s work and reporting it to the team manager.

8. Manage maintenance of equipment / devices and services.

Note:

• MUST OWN TWO-WHEELER WITH DRIVING LICENSE
• CANDIDATE WHO CAN JOIN IMMEDIATELY.
• FIXED TRAVEL REIMBURSEMENT.