11+ Meraki Jobs in India

Responsibilities:

• Design, configure, administer, monitor and troubleshoot complex enterprise network environment for communications and solution improvements within the Company's high-traffic, business-critical Internet production environment. 
• Develop and implement plans for infrastructure upgrades, modeling, analysis, and planning.
• Analyze, design, test, and evaluate network systems including local area networks (LAN), wide area networks (SD-WAN), Cloud, Data Centers, and other data communications systems. 
• Design, manage, and maintain office wired and wireless networks.
• Work with complex network and storage environments including SAN, clustering, load balancing, multi-site VPNs, network IDS, and firewalls.
• Monitor network performance and provide security measures, troubleshooting and maintenance, as needed. 
• Acquire, maintain and report on data related to network performance management, capacity planning and utilization trend analysis.
• Provide after-hours support for systems and applications.
• Collaborate with other functional IT areas to ensure that IT best practices, policies, and procedures are adhered to. Provide technical support for staff issues.
• 7+ years of experience in setup, configuration and maintenance of networking infrastructure including Cisco switches, routers, firewalls, VPN technologies, SD-WAN, and other WAN administration.

Experience

• 7+ years of experience with configuring and supporting IP networks.
• 5+ years of experience with Google Cloud Platform (GCP) and multi-region Amazon Web Services (AWS) networking configurations
• 3+ years of experience in managing Meraki wireless networks and equipment in office environments.
• Strong fundamental knowledge of networks, ports, protocols, and infrastructure setup
• Enterprise-Level: Larger than 1,000 PCs and 500 Servers (multi-platform) are a definite plus
• Solid understanding of Microsoft Active Directory, DNS, DHCP, etc. in a large multi-site environment.
• In-depth knowledge of IT standards, concepts, best practices, and procedures - relies on knowledge, experience and judgment to plan and accomplish goals.
• Excellent verbal and written communication skills for purposes of communicating with team members as well as other departments.
• Ability to take initiative & manage multiple detailed tasks in a fast-paced and ever-changing environment.
• Organizational, and project management abilities, strong analytical and problem-solving skills

Education Qualifications:

• Bachelor's Degree: CIS Computer Information Systems; Information Technology, Computer Science or similar.
• CCNP Certification or similar
• Cisco switches, routers, firewalls, VPN technologies, SD-WAN, WAN administration
• Cisco SAN experience
• OS Platforms: Windows / Linux
• Hardware Platforms: Cisco UCS, Cisco Meraki, EMC storage

Process Name: US LLS ( Line Language Selection ) - WORK FROM HOME (Eng + French or Nepali or Bengali or Tamil or Punjabi or Urdu or Gujarati)

Company - Teleperformance 

Roles and Responsibility : Will be working as a language interpreter whereas their job would be to interpret between the customer and the client . Interpreter is responsible for handling telephone or video calls on demand and renders meaning of conversations in the consecutive mode of interpretation between speakers of French or Nepali, Bengali and Urdu along with Excellent English

Criteria: Age limit 40 Max

Qualification : Graduates or Undergraduates can Apply

Work History : Freshers and Experienced both can Apply.

Skills Required:

Excellent communication in English as well as in their regional language

Should have good knowledge of computer.

Should be flexible with rotational shifts.

Should be comfortable for video conference with clients.

Should have WIFI , Laptop / Desktop / Smartphone for attending interviews

Perks and Benefits:

Permanent Work from Home

System provided by the company 

5 Days Working with rotational week off.

Pan India Hiring for Work from home.

Salary Details :

French : 8 - 10 LPA

Nepali : 5.5 LPA (30 – 39 k in hand)

Bengali : 5.5 LPA (30 – 39 k in hand)

Punjabi : 5.5 LPA (30 – 39 k in hand)

Urdu : 30 K max in hand

Tamil : 5.5 LPA (30 – 39 k in hand)

Selection Criteria :

HR Round

Online Assessment in both languages (Client Amcat)

Scoring Marks 3+ for both languages

Test can be performed on any device.

Ops Round on Microsoft Teams

MUST-HAVES:

• LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
• Context & Knowledge Base Design.
• Context & Knowledge Base Design.
• Experience running LLM evals

NOTICE PERIOD: Immediate – 30 Days

SKILLS: LLM, AI, PROMPT ENGINEERING

NICE TO HAVES:

Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments

ROLE PROFICIENCY:

Role Scope / Deliverables:

• Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
• Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
• Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
• Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
• Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
• Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.

KEY DELIVERABLES:

• LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
• Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
• Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
• Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
• AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
• Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.

KEY SKILLS:

Technical & Analytical Skills:

• LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
• Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
• Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
• Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
• Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
• Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
• Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
• Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
• Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
• Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
• Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.

Position: Customer relationship (ecommerce- fashion)

Experience: 1+ year with Fluent in English Speaking

Location: Udyog vihar phase-1, Gurgaon

salary: Negotiable

industry: fashion/ ecommerce

only Female with fluent in English speaking skill, smart.

experience in same industry would be prefer.

mail updated resume with current salary-

email: etalenthire[at]gmail[dot]com

satish- 88 O2 74 97 43

Skills required – Javascript,Mongodb,Angularjs,Nodejs

Level:P1-Exp -1-2 years

Location – Pune

• Strong in problem solving, algorithms and data structures
• Proficient in Python
• Hands on experience in technologies and tools related to any of NLP, Deep learning, Machine learning, Conversational AI
• Experience with knowledge Graph or any graph based system is plus
• Able to train and deploy models
• Broad knowledge of machine learning algorithms and principles
• Performance profiling and Tuning
• Communicate and propose solutions to business challenges
• Familiarity with at least one of the cloud computing infrastructure - GCP/AWS
• Keep abreast with the latest technological advances
• Team mentoring and leadership skills.

Responsibilities

Work with dev teams and manage projects.

Plan with security and data protection as a foreword thought.

Build real-time and near real-time web applications with video/audio streaming.

Provide budgets and cost estimations for projects and server/service costs.

Design and develop client and server-side architectures.

Build front-end apps on React, Vue. You should be an expert at React.

Develop and manage database

Plan and write APIs

Test software to ensure responsive and efficiency

Write technical documentation

Requirement

5+ years experience

Front-end - React, Vue, Angular ( Expert in React and Angular)

Backend - Go-lang, Python, nodeJS, ( Must have working knowledge of atleast any of the two

programming languages)Framework: Django, Express JS

Misc - Linux, AWS, Deployment, Docker( Mandatory)