Quality Analyst

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 

Job Title: Java Developer (Full-time)

Location: Pune (Onsite)

Experience Required: 3+ Years

Working Days: 5 Days (Mon to Fri)

Key Responsibilities:

• Design, develop, and deploy scalable microservices using Java and Spring Boot.
•  Implement RESTful APIs and integrate with external systems and databases.
• Build and manage services on AWS Cloud using components like ECS, Lambda, S3, RDS,
• and API Gateway.
• Collaborate with DevOps to integrate CI/CD pipelines for automated builds, tests, and
• deployments.
• Ensure application performance, reliability, and security in a cloud-native environment.
• Participate in code reviews, troubleshooting, and performance optimization.
• Work closely with architecture, QA, and product teams to deliver high-quality solutions.

Required Skills & Experience:

• Strong proficiency in Java, Spring Boot, and microservice architecture. 
• Hands-on experience with AWS Cloud services (ECS, EKS, Lambda, RDS, CloudWatch,etc.).
•  Knowledge of Docker, Kubernetes, and CI/CD tools (Jenkins, GitLab, or AWS
• CodePipeline).
• Experience with REST APIs, JSON, and message brokers (Kafka, RabbitMQ, or SNS/SQS).
• Proficiency in SQL and experience with relational databases (Oracle, MySQL, or
• PostgreSQL).
•  Familiarity with security best practices, monitoring, and logging in the cloud.

Sales Executive / Senior Sales Executive

Job Summary

We are looking for an experienced Sales Executive / Senior Sales Executive who can drive enrollments for our master training program through consultative selling. The role requires counselling prospective learners, handling high-quality leads, closing enrollments, and consistently achieving revenue targets.

Key Responsibilities

Sales & Counselling

• Counsel students and working professionals on career-oriented training program
• Understand the learner requirements and recommendation accordingly
• Explain program structure, curriculum, pricing and career outcomes
• Handle inbound and outbound leads and convert them into enrollments
• Manage follow-ups and closures using CRM tools
• Handle objections and negotiate to close enrollments

Target & Performance

• Achieve individual monthly enrollment and revenue targets
• Improve lead to enrollment conversion ratios
• Increase average ticket size through effective counselling
• Maintain accurate sales reports and pipeline visibility

Coordination & Experience

• Coordinate with marketing and operations teams for smooth enrollment
• Ensure seamless onboarding and learner satisfaction
• Encourage referrals and repeat enrollments where applicable

Required Skills & Qualifications

• Bachelor’s degree in any discipline (MBA in Marketing preferred)
• 1–8 years of sales experience, preferably in Training / EdTech / Education
• Proven experience in closing sales and achieving targets
• Strong communication, persuasion and negotiation skills
• Ability to explain professional or technical program clearly
• Experience using CRM and sales tracking tools
• Result-oriented and self-driven mindset

Additional Benefits

• Monthly top-performer awards
• Spot incentives for quick and volume closures
• Monthly/ Yearly consistency bonus
• Growth path to Team Lead / Manager role

Why Join Us

• Strong inbound lead support
• Transparent and achievable targets
• High earning incentive potential
• Growing organization with leadership opportunities

We’re Hiring | Purchase Executive / Assistant Manager – Purchase 🚨

📍 Location: Thane

🏭 Industry: Manufacturing (Waste Management & Environmental Solutions)

🎓 Qualification: BE / B.Com

💼 Experience: 3–5 years (relevant purchase experience)

⏳ Joining: Immediate

looking for a proactive and detail-oriented Purchase Executive / Assistant Manager to manage sourcing, procurement, vendor negotiations, purchase orders, and inventory coordination.

Key Skills Required:

✔ Procurement & vendor sourcing

✔ Negotiation & supplier management

✔ Purchase order & inventory control

✔ ERP & MS Office proficiency

🌱 Be part of a growing organization driving sustainable waste management and zero-dumping solutions.

​​ChiefEx Technologies Pvt Ltd is an early stage SAAS application startup providing an integrated technology platform to small businesses for most of their day to day activities for all of their business cycle with complete control on activities.

Our application is very flexible and its minimalistic design is loved by many customers.

The company is looking at further expanding the solution and rolling across geographies in the coming future.

Our MVP is ready and we started early traction. We are looking for passionate developers with an entrepreneurship mindset to join our team as Team Lead - MEAN Stack.

Joining as a founding team member will come with lots of benefits and opportunities to grow.

There won't be any cash benefits for at least 3 months or till we achieve revenue goals or funding. A very attractive indicative compensation will be offered with equity for the right candidate.

Right candidate will be inducted as Co-founder  / CTO.

You will be getting freedom and autonomy to perform tasks, manage and build your team and engage in cross functional activities.

This is a high growth career opportunity is only best for those who have the capability to fast grow the organisation as a High growth driver and with an Entrepreneur Mindset.

Note: DO NOT APPLY if you are looking for a traditionally paid employee safe mode opportunity. 

Responsibilities:

• Own the product development from scratch.
• Design and implementation of low-latency, high-availability, and performant applications.
• Architect scalable software solutions and mentor a team of high performing developers.
• Participate in code reviews, design reviews and troubleshooting to ensure uptime for live systems etc.

Requirements:

• Bachelor's degree in a technology-related field.
• Prior 5+ years of experience in leading full stack development (MEAN Stack) in a start-up or a dynamic work environment.
• Strong knowledge of JavaScript/Typescript and technologies like NodeJS (with Express) / Angular / MongoDb etc.
• Good understanding of System Design, Microservice Architecture, DSA, etc.
• Good understanding of CI/CD, AWS, cloud deployment, Git, etc.
• Customer oriented, responsive to changes, and able to multi-task in a fast-paced environment.

If you are a potential candidate and have some questions, please feel free to talk with us.

Strong problem-solving capabilities and able to independently think through a challenge.

Demonstrated ability to learn new technology quickly

Every project can be different, and there may not be a “template” to work off of. Need someone who can be resourceful and has a “figure it out” attitude

2+ years of experience in Salesforce or other development

BS/MS in Computer Science, Engineering, or related years of experience and technical skills

Salesforce certifications preferred, e.g. Certified Salesforce Administrator, Certified Salesforce Platform App Builder, Platform Developer II

Experience in Salesforce CRM app development with strong expertise in Sales Cloud, Service Cloud, and / or Force.com at an enterprise level

Experience with SFDC Administrative tasks like creating Profiles, Roles, User Security Models, Page Layouts, Email Services, Dashboards, Tasks, and Events

Experience with Lightning Components, Design System, APEX Classes, Process Builder, Triggers, Visualforce, Approval Processes, Aura, and Flow

Verify and validate complete end-to-end testing with the business and client/carrier

Expert knowledge of Object-Oriented programming

Experience with database design concepts and use of SOQL, SOSL, and SQL

Experience with Salesforce API and Web Services (REST/SOAP/Bulk)

Experience with environment management, release management, code versioning, deployment methodologies, and CI/CD tools

Utilize strong written and oral communication skills to regularly update stakeholders on project status, e.g. project phase, issues/roadblocks, go-live dates, etc.

Role & Responsibilities:

• Plan and execute Security Assessment Strategy
• Proactively implement security measures
• Implement tools to Monitor and Report Security violations
• Govern security specification guidelines adherence across product and organization

Skills & Qualification:

• IIT, BE or B Tech
• 4+ years of relevant work experience
• Expert in Application Information Security, VAPT
• Proficient using tools like BURP, NMAP, KALI etc.
• Good understanding of web technologies, APIs and mobile app development practices
• CEH certification preferred