Purchase Manager

JD for Cloud engineer

Job Summary:

We are looking for an experienced GCP Cloud Engineer to design, implement, and manage cloud-based solutions on Google Cloud Platform (GCP). The ideal candidate should have expertise in GKE (Google Kubernetes Engine), Cloud Run, Cloud Loadbalancer, Cloud function, Azure DevOps, and Terraform, with a strong focus on automation, security, and scalability.

You will work closely with development, operations, and security teams to ensure robust cloud infrastructure and CI/CD pipelines while optimizing performance and cost.

Key Responsibilities:

1. Cloud Infrastructure Design & Management

• Architect, deploy, and maintain GCP cloud resources via terraform/other automation.
• Implement Google Cloud Storage, Cloud SQL, filestore,  for data storage and processing needs.
• Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy) for high availability and scalability.
• Optimize resource allocation, monitoring, and cost efficiency across GCP environments.

2. Kubernetes & Container Orchestration

• Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).
• Work with Helm charts for microservices deployments.
• Automate scaling, rolling updates, and zero-downtime deployments.

3. Serverless & Compute Services

• Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads.
• Optimize containerized applications running on Cloud Run for cost efficiency and performance.

4. CI/CD & DevOps Automation

• Design, implement, and manage CI/CD pipelines using Azure DevOps.
• Automate infrastructure deployment using Terraform, Bash and Powershell scripting
• Integrate security and compliance checks into the DevOps workflow (DevSecOps).

Required Skills & Qualifications:

✔ Experience: 8+ years in Cloud Engineering, with a focus on GCP.

✔ Cloud Expertise: Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions).

✔ Kubernetes & Containers: Experience with GKE, Docker, GKE Networking, Helm.

✔ DevOps Tools: Hands-on experience with Azure DevOps for CI/CD pipeline automation.

✔ Infrastructure-as-Code (IaC): Expertise in Terraform for provisioning cloud resources.

✔ Scripting & Automation: Proficiency in Python, Bash, or PowerShell for automation.

✔ Security & Compliance: Knowledge of cloud security principles, IAM, and compliance standards.

About the Role

We are hiring a Senior Backend Developer for our client, a US-based tech company, to take ownership of backend architecture, scalability, and infrastructure. This is a critical engineering role where you'll lead feature development and ensure high system performance as the company grows rapidly.

Key Responsibilities

• Build and maintain scalable backend systems using Python (Django, Flask, or FastAPI)
• Optimize and manage relational databases (PostgreSQL, MySQL)
• Design and implement asynchronous processing using Redis and RabbitMQ
• Architect and deploy containerized microservices with a focus on performance and scalability
• Provision and monitor infrastructure on AWS (EC2, RDS, S3)
• Diagnose system performance issues and implement robust solutions

Minimum Requirements

• 3+ years of backend development experience
• Proficient in Python and at least one framework (Django, Flask, or FastAPI)
• Strong knowledge of PostgreSQL or MySQL
• Experience with Redis and RabbitMQ
• Hands-on experience with AWS (EC2, RDS, S3)
• Strong understanding of data structures, algorithms, and backend system design

Good to Have

• Familiarity with JavaScript and frontend frameworks like React.js or Vue.js
• Experience with WebSockets for real-time features
• Exposure to VoIP/WebRTC/SIP/IP PBX technologies

Key Traits We Value

• Smart, logical, and curious problem-solvers
• Self-driven individuals who thrive in fast-paced environments
• Passion for learning and adapting to new technologies

What We Offer

• Competitive Compensation
• 100% remote work
• A collaborative, growth-focused environment
• Challenging projects with real impact

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.

Responsibilities

• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.

• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.

• Fine-tune pre-trained models and develop custom models based on specific business needs.

• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.

• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.

• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.

• Ensure scalability and performance of deployed AI solutions within the full application stack.

• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.

• Design and implement APIs or services that expose machine learning models to frontend or other systems

• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.

• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.

• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.

• Document processes, methodologies, and results for future reference and reproducibility.

Required Skills & Qualifications

• Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.

• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.

• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.

• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.

• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.

• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.

• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.

• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.

• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.

• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.

• Understanding of system design and software architecture for integrating AI into production environments.

• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).

• Demonstrated projects where AI models were part of deployed user-facing applications.

• NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.

• Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.

Nice to Have

• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.

• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.

• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).

• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.

• Solid understanding of statistics and probability.

• Experience working in Agile development environments.

What You'll Gain

• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.

• Collaborate with a diverse, highly skilled team in a fast-paced environment.

• Opportunity to work on impactful projects with real-world applications.

• Competitive salary and career growth opportunities

Dear Candidate,

🚀 We're Hiring | Sales Manager

📍 Location: Noida | 🕘 Full-Time

We are looking for a passionate and driven Sales Manager with experience in CCTV, AI-driven video solutions, and large-scale B2B/enterprise or government sales.

🎯 What We're Looking For:

• Proven experience in B2B sales, preferably in tech, CCTV, large enterprise, or government projects

• Strong understanding of video analytics, AI-based camera systems, and video management    platforms

• Excellent communication, negotiation, and stakeholder management skills

• Ability to work independently and collaborate in a fast-paced environment

📩 Apply now or share this opportunity with someone who fits the role!

Hi Everyone,

We are hiring.for Sales Executives.

Qualifications:

> Bachelor's education / Graduation is compulsory.

>Excellent verbal and written communication skills.

>Should have experience in field sales of any domain.

>1 Year of minimum experience is required.

>Candidates having a minimum of 3-4 years of sales experience preferably from the Insurance industry/Pharma/ Telecom.

>Candidates should not have an employment gap.

> Candidates' vintage at previous company should be good in stability (minimum 3 years).

Locations: Gachibowli, Uppal, Dilsukhnagar, Secunderabad, Kukatpally, Himayatnagar, Panjagutta etc..........

Budget: up to 5 LPA.

Best Regards,

Chaitra Harsha

Primary Responsibilities: 

• Y-Axis receives over 45,000 enquiries each month. You will be responsible for counseling these enquiries and selling our services, over the phone, email & in person. 
• Advice on the overseas options available, so as to enable the candidates & their family make an educated choice & the right decision. 
• Give clear and accurate information based on the current immigration & visa laws & policies. 
• Provide a fair and neutral evaluation of a candidate’s profile. 
• Provide a personal global career strategy customized to their needs. 
• Achieve excellent customer service by proactively responding to client queries and advising 
• customers on their overseas immigration and visa needs. 
• Meet the assigned targets 

The role will be focused on the frontend in the sales function. You will be responsible for  acquiring new customers and create a pipeline for enterprise accounts. This will be a IC and enterprising opportunity, in a start-up environment, so we are looking for a motivated self-starter.

Delhi and Mumbai

• Creating a list of enterprise accounts and win them with consultative sales approach
• Pitch the company and its products through rigorous prospecting
• Strike and initiate conversations with high-profile personas in prospective companies.
• Mapping market and innovate in outbound approach
• Excellent presentation and sound understanding on 
• Maintain discipline in CRM update , customer engagement and company policies

An enthusiastic individual from SAAS, E-com, Fintech or entrepreneurial background

• 8-10 years of B2B India Sales.
• Graduate in any stream or an equivalent educational qualification.
• Have a basic knowledge of technology and a detailed understanding of India sales and market
• Excellent communication and interpersonal skills.
• Well versed in using tools such as LinkedIn, HubSpot, etc.
• Be self-motivated, data-driven, and result-oriented.

You will work with the Sales team and report to the President - Sales and BD.

A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality of content, interact and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the comprehensive benefits.

A fast-growing SaaS commerce company based in Bangalore with offices in Delhi, Mumbai, SF, Dubai, Singapore, and Dublin. We have three products in our portfolio: Plum, Empuls and Compass. Works with over 1000 global clients. We help our clients in engaging and motivating their employees, sales teams, channel partners and consumers for better business results.