Content writer

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

About the role

Meltwater’s collaborative Security Team needs a passionate Security Engineer to continue to advance Meltwater’s security. Working with a group of fun loving people who are genuinely excited and passionate about security, there will be more laughs than facepalms! If you believe that improving security is about constantly moving technology forward to be more secure, and shifting security tools and checks earlier in the development lifecycle, then you’ll feel at home on Meltwater’s Security Team! 

At Meltwater we want to ensure that we can have autonomous, empowered and highly efficient teams. Our Security Team charges head on into the challenge of ensuring our teams can maintain their autonomy without compromising the security of our systems, services and data. Through enablement and collaboration with teams, Security Engineers ensure that our development and infrastructure practices have security defined, integrated and implemented in a common-sense manner that reduces risk for our business. Security Engineers define best practices, build tools, implement security checks and controls together with the broader Engineering and IT teams to ensure that our employees and our customers' data stays safe. 

As part of this, we leverage AWS as a key component of our cloud infrastructure. Security Engineers play a critical role in securing and optimizing AWS environments by implementing best practices, automating security controls, and collaborating with teams to ensure scalability, resilience, and compliance with industry standards. 

Responsibilities 

• In this role, you will be designing and implementing security functions ranging from checks on IaC (Infrastructure as Code) to SAST/DAST scanners in our CI/CD pipelines.
• You will be collaborating closely with almost every part of the Meltwater organization and help create security impact across all teams with strong support from the business. 
• Collaborate closely with teams to help identify and implement frictionless security controls throughout the software development lifecycle 
• Propose and implement solutions to enhance the overall cloud infrastructure and toolset.
• Perform ongoing security testing, including static (SAST), dynamic (DAST), and penetration testing, along with code reviews, vulnerability assessments, and regular security audits to identify risks, improve security, and develop mitigation strategies. 
• Educate and share knowledge around secure coding practices 
• Identify applicable industry best practices and consult with development teams on methods to continuously improve the risk posture. 
• Build applications that improve our security posture and monitoring/alerting capabilities
• Implement and manage security technologies including firewalls, intrusion detection/prevention systems (IDS/IPS), endpoint protection, and security information and event management (SIEM) tools.
• Conduct vulnerability assessments, penetration testing, and regular security audits to identify risks and develop mitigation strategies. 
• Monitor and respond to security incidents and alerts, performing root cause analysis and incident handling.
• Participate in incident response and disaster recovery planning, testing, and documentation.
• Manage identity and access management (IAM) solutions to enforce least privilege and role-based access controls (RBAC). 
• Assist in the development of automated security workflows using scripting (Python, Bash, or similar).

Skills and background 

• Strong collaboration skills with experience working cross functionally with a diverse group of stakeholders
• Strong communication skills with the ability to provide technical guidance to both technical and non-technical audiences 
• Experience in implementing security controls early in the software development life cycle
• Knowledge of industry accepted security best practices/standards/policies such as NIST, OWASP, CIS, MITRE&ATT@CK 
• Software developer experience in one or more of the following languages: JavaScript, Java, Kotlin or Python
• Experience in at least one public cloud provider, preferably AWS, with experience in security, infrastructure, and automation. 
• Hands-on experience with SIEM platforms such as Splunk, QRadar, or similar. 
• Proficiency in Linux operating system, network security, including firewalls, VPNs, IDS/IPS, and monitoring tools. 
• Experience with vulnerability management tools (Snyk, Nessus, Dependabot) and penetration testing tools (Kali Linux, Metasploit). 
• Experience in forensics and malware analysis. 
• Self motivated learner that continuously wants to share knowledge to improve others 
• The ideal candidate is someone from a Software Development background with a passion for security.

If you’re someone who understands the value of introducing security early in the software development lifecycle, and want to do so by enabling and empowering teams by building tools they WANT to use, we want to hear from you!

Roles and Responsibilities:



Curriculum Development:

• Design and develop engaging LMS course content, modules, and assessments.

Content Management:

• Upload, organize, and maintain course materials within the LMS.

Stakeholder Collaboration:

• Work with subject matter experts and department heads to identify training needs and gather content.

Quality Assurance:

• Review and test course content to ensure it meets quality standards.

User Support:

• Provide guidance to learners and develop support materials like user guides and FAQs.

Evaluation and Improvement:

• Assess training effectiveness through evaluations and feedback, and implement improvements.

Qualifications:

• Bachelor’s degree in Education, Instructional Design, HR, or related field.
• Experience in curriculum development and instructional design for LMS.
• Proficiency with LMS software and e-learning authoring tools.
• Strong project management and communication skills.
• Detail-oriented with an analytical mindset.

Regards,

Dhivya V

                                  Position Title: Sales Associate

Company: YoHo Design

Location: Bangalore

MUST HAVE PRIOR EXPERIENCE IN INTERIOR SALES INDUSTRY- MIN 6 MONTHS TO 1YR.

Overview:

Join our team at YoHo Design as a Sales Associate and play a pivotal role in driving sales growth and enhancing customer satisfaction. As a Sales Associate, you will be responsible for providing exceptional service to clients, assisting them in selecting products and services that meet their interior design needs, and contributing to the overall success of our firm.

Key Responsibilities:

1. Customer Service: Provide exemplary customer service by greeting clients, assessing their needs, and guiding them through the selection process.

2. Product Knowledge: Develop a deep understanding of our products and services, including furniture, accessories, lighting, and design consultation services.

3. Sales Generation: Actively engage with clients to identify opportunities for sales, upselling, and cross-selling of products and services.

4. Consultative Selling: Utilize your knowledge of interior design principles to offer personalized recommendations and design solutions to clients.

5. Relationship Building: Build and maintain strong relationships with clients to foster repeat business and referrals.

6. Order Management: Assist clients with placing orders, processing payments, and coordinating delivery and installation.

7. Merchandising: Maintain a clean and organized showroom environment, ensuring that products are properly displayed and inventory levels are monitored.

8. Administrative Tasks: Perform various administrative duties, such as maintaining client records, generating sales reports, and responding to inquiries via phone, email, or in person.

9. Collaboration: Work closely with other team members, including designers, project managers, and administrative staff, to ensure a seamless customer experience.

10. Continuous Learning: Stay updated on industry trends, product developments, and best practices in interior design and sales techniques.

Qualifications:

* Previous experience in retail sales, preferably within the interior design industry.

* Strong interpersonal and communication skills, with the ability to engage effectively with clients and colleagues.

* Passion for interior design and a keen eye for aesthetics.

* Proven track record of meeting or exceeding sales targets.

* Ability to multitask and prioritize tasks in a fast-paced environment.

* Proficiency in using computer software and point-of-sale systems.

* Flexibility to work weekends and evenings as needed.

* Complete Sales background with 2 years experience

Education:

Bachelor’s degree in interior design, marketing, business administration, or a related field preferred.

 4 to 8 years of experience.

Certification A2 or any

Azure Component Provisioning.

Hands-on experience on configuring and troubleshooting application gateway firewall, load balancers, VM/Disk encryption, Azure vaults, network security group, web application firewalls.

Hands-on experience and troubleshooting on Azure Virtual Network Gateway, ExpressRoute,Azure chatbot services.

Hands-on experience on Azure Automation with hands skills in PowerShell.

Extensive knowledge of Windows Server operating systems and Active Directory.

Extensive knowledge of Linux operating systems (Centos and Ubuntu).

Installing, Configuring and Managing AD / DHCP / DNS Services.

Creating Group Policies and implementation as per standard procedures.

Install, secure, maintain, troubleshoot and upgrade Windows/Linux Server operating systems.

Knowledge of network architecture and design, network security, Web sites/Portal security and client/server security.

Experience with configuration management single sign on with azure active directory.

Server performance monitoring and apply the solution to increase the performance if needed.

Cost management and cost analysis.

Backup and disaster recovery administration.

SSL/App services certificates configuration with Linux and windows-based websites/portals.

• HTTP APIs 
• SQLite
• Firebase
• Git

• AWS
• MQTT
• IoT
• AWS Cognito 
• Knowledge about Hardware IoT, ESP32, ESP8266, NodeMCU etc.