Avaya Engineer-Tier 3

Job Title: Customer Service Executive – Blinkit

Location: Pan India

Work from home 

Job Type: Full-time | Rotational Shifts | Rotational Week Off

About the Role:

We are looking for enthusiastic and customer-focused individuals to join our Blinkit Customer Service team. The role involves handling customer queries, providing solutions, and ensuring a seamless service experience.

Key Responsibilities:

Handle customer queries via calls, chat, or email in a professional and timely manner.

Resolve issues related to orders, payments, delivery, or product-related concerns.

Requirements:

HSC / Graduate in any stream.

0–2 years of experience in customer service (Freshers with good communication skills are welcome).

Excellent verbal and written communication in English and Hindi.

Strong problem-solving skills with a customer-first attitude.

Willingness to work in rotational shifts and rotational week offs.

Basic computer knowledge and typing speed. 

Techno Task

Senior Data Engineer Job Description

Overview

The Senior Data Engineer will design, develop, and maintain scalable data pipelines and

infrastructure to support data-driven decision-making and advanced analytics. This role requires deep

expertise in data engineering, strong problem-solving skills, and the ability to collaborate with

cross-functional teams to deliver robust data solutions.

Key Responsibilities

Data Pipeline Development: Design, build, and optimize scalable, secure, and reliable data

pipelines to ingest, process, and transform large volumes of structured and unstructured data.

Data Architecture: Architect and maintain data storage solutions, including data lakes, data

warehouses, and databases, ensuring performance, scalability, and cost-efficiency.

Data Integration: Integrate data from diverse sources, including APIs, third-party systems,

and streaming platforms, ensuring data quality and consistency.

Performance Optimization: Monitor and optimize data systems for performance, scalability,

and cost, implementing best practices for partitioning, indexing, and caching.

Collaboration: Work closely with data scientists, analysts, and software engineers to

understand data needs and deliver solutions that enable advanced analytics, machine

learning, and reporting.

Data Governance: Implement data governance policies, ensuring compliance with data

security, privacy regulations (e.g., GDPR, CCPA), and internal standards.

Automation: Develop automated processes for data ingestion, transformation, and validation

to improve efficiency and reduce manual intervention.

Mentorship: Guide and mentor junior data engineers, fostering a culture of technical

excellence and continuous learning.

Troubleshooting: Diagnose and resolve complex data-related issues, ensuring high

availability and reliability of data systems.

Required Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science,

or a related field.

Experience: 5+ years of experience in data engineering or a related role, with a proven track

record of building scalable data pipelines and infrastructure.

Technical Skills:

Proficiency in programming languages such as Python, Java, or Scala.

Expertise in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra).

Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services

(e.g., Redshift, BigQuery, Snowflake).

Hands-on experience with ETL/ELT tools (e.g., Apache Airflow, Talend, Informatica) and

data integration frameworks.

Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and distributed

systems.

Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a

plus.

Soft Skills:

Excellent problem-solving and analytical skills.

Strong communication and collaboration abilities.

Ability to work in a fast-paced, dynamic environment and manage multiple priorities.

Certifications (optional but preferred): Cloud certifications (e.g., AWS Certified Data Analytics,

Google Professional Data Engineer) or relevant data engineering certifications.

Preferred Qualifica

Experience with real-time data processing and streaming architectures.

Familiarity with machine learning pipelines and MLOps practices.

Knowledge of data visualization tools (e.g., Tableau, Power BI) and their integration with data

pipelines.

Experience in industries with high data complexity, such as finance, healthcare, or

e-commerce.

Work Environment

Location: Hybrid/Remote/On-site (depending on company policy).

Team: Collaborative, cross-functional team environment with data scientists, analysts, and

business stakeholders.

Hours: Full-time, with occasional on-call responsibilities for critical data systems.

Role Overview

As an AI/ML Engineer at Hotelzify, you will be at the forefront of designing and deploying AI components that power our conversational agent (voice + chat). You’ll be responsible for NLP/NLU pipelines, real-time inference optimization, dialogue management, retrieval-augmented generation (RAG), and LLM integration, helping the agent understand user intents, answer questions, and complete bookings live.

Key Responsibilities

• Design and implement NLP/NLU models to understand real-time user intents from text and voice.
• Build and fine-tune LLM-based conversational flows using RAG, prompt engineering, and retrieval mechanisms.
• Integrate external tools for hotel availability, pricing APIs, CRM data, and transactional workflows.
• Develop efficient real-time inference pipelines with latency under 300ms for voice and chat.
• Collaborate with frontend/backend teams to ensure seamless LLM API orchestration.
• Optimize prompt logic, dialogue memory, and fallback strategies for natural conversations.
• Conduct A/B experiments and continuous learning pipelines for feedback-driven improvement.
• Use vector databases (e.g., FAISS, Pinecone, Weaviate) for retrieval over hotel-related data.
• Work on voice-specific challenges: STT (Speech-to-Text), TTS, and intent detection over audio streams.

Tech Stack

• Languages: Python, Node.js
• AI/ML: LangChain, Transformers (Hugging Face), OpenAI APIs, LlamaIndex, RAG, Whisper, NVIDIA NeMo
• Infra: AWS (EC2, RDS, EKS, Lambda), Docker, Redis
• Databases: PostgreSQL, MongoDB, Pinecone / Weaviate / Qdrant
• Voice APIs: Plivo, Twilio, Google Speech, AssemblyAI

What We’re Looking For

• 3+ years in AI/ML/NLP-focused roles, preferably in production environments.
• Strong understanding of modern LLM pipelines, LangChain/RAG architectures.
• Experience building or integrating real-time conversational AI systems.
• Comfortable with voice-based systems: STT, TTS, and real-time latency tuning.
• Hands-on experience with fine-tuning or prompt-tuning transformer models.
• Bonus: Experience working in travel, hospitality, or e-commerce domains.

Nice to Have

• Prior work with agents that use [tool calling] / [function calling] paradigms.
• Knowledge of reinforcement learning for dialogue optimization (e.g., RLHF).
• Experience deploying on GPU-based infrastructure (e.g., AWS EC2 with NVIDIA).

Why Join Us?

• Work on a real product used by thousands of guests every day.
• Build India’s first real-time AI agent for hotel sales.
• Flexible work environment with deep ownership and autonomy.
• Get to experiment and deploy bleeding-edge ML/AI tech in production.

Job Title: Software Development Intern

Company: KGIST Microcollege (MGC)

Location: [Insert Location]

Job Type: Internship

Job Description:

- Assist in developing software applications using various programming languages

- Collaborate with the development team to design, develop, and test software solutions

- Develop knowledge and skills in software development practices and procedures

Responsibilities:

- Develop software applications using JavaScript, Java, HTML, Python, and C++

- Assist in debugging and troubleshooting code

- Participate in code reviews and contribute to improving code quality

- Collaborate with the team to meet project deadlines and goals

Requirements:

- Currently pursuing a degree in Computer Science or a related field

- Strong knowledge of programming languages, including:

  - JavaScript

  - Java

  - HTML

  - Python

  - C++

- Female candidates only

- Strong problem-solving skills and attention to detail

- Ability to work in a team environment

What We Offer:

- Opportunity to gain hands-on experience in software development

- Collaborative and dynamic work environment

- Flexible work hours and remote work options (if applicable)

- Chance to develop skills and knowledge in software development practices

React js Developer,5-7 yrs of experience, location will be Bengaluru, Core front-end developer, must have hands-on strong experience in redux, angular, javascript and typescript

🚀 We're Hiring: Autosar Bootloader Developer at InfoGrowth! 🚀

Join InfoGrowth as an Autosar Bootloader Developer and play a key role in the development and integration of cutting-edge automotive technologies!

Job Role: Autosar Bootloader Developer

Mandatory Skills:

• Bootloader Development
• Embedded C Programming
• Autosar Framework
• Hands-on experience with ISO 14229 (UDS Protocol)
• Experience with Flash Bootloader topics
• Proficiency in software development tools like CAN Analyzer, CANoe, and Debugger
• Strong problem-solving skills and ability to work independently
• Familiarity with Vector Flash Boot Loader is a plus
• Exposure to Over-The-Air (OTA) updates is advantageous
• Knowledge of the ASPICE Process is a plus
• Excellent analytical and communication skills

Job Responsibilities:

• Collaborate on the integration and development of Flash Bootloader (FBL) features and conduct testing activities.
• Work closely with counterparts in Germany to understand requirements and develop FBL features.
• Create test specifications and document the results of testing activities.

Internship Program Details:

Our Internship Program is designed to offer hands-on experience to students who are eager to explore the dynamic world of Artificial Intelligence (AI), Machine Learning (ML) and business Intelligence (BI). This program will provide participants with a unique opportunity to work on real-world projects, gain exposure to cutting-edge technologies, and collaborate with our talented team of experts.

Key Program Highlights:

Duration: 6 months, full time

Eligibility: MBA student with a keen interest in the dynamic fields of Business Intelligence (BI), Artificial Intelligence (AI), and Machine Learning (ML)

Location: Guindy, Chennai

Mentorship: Each intern will be assigned a dedicated mentor for guidance and support

Projects: Interns will work on live projects with tangible outcomes

Certificate: Upon successful completion, interns will receive a certificate of participation