Customer Support Executive

Job Title: Digital Marketing Specialist

Location: Arjan Garh, Delhi

Job type: Full time, Onsite

About us: At Timble Glance, our motto, ‘More Data, More Opportunities’, epitomizes our unwavering commitment to equipping forward-thinking enterprises in their battle against fraud. We take pride in building cutting-edge AI solutions to help financial institutions mitigate risk and generate comprehensive data. This data leads to insightful solutions, ensuring effective fraud prevention and risk mitigation.

Key Responsibilities

• Craft and execute digital marketing strategies across channels like SEO, PPC, email, social media, content, and paid media—aligned with business objectives.
• Analyze and optimize campaign performance using metrics-driven insights via tools like Google Analytics, adjusting approaches to maximize ROI.
• Manage cross-channel campaigns, curating product mailers newsletters & other creative for overall enhancement of brand & brand building..

·      Manage the following : KPIs, Customer acquisition Cost , Email open & click rates, Conversion rates, Social Media Engagement & growth, Campaign ROI, Customer Retention rate.

• Conduct market research, audience profiling, and competitive analysis to uncover new opportunities and inform messaging.
• Stay current with emerging trends, tools, and technologies in digital marketing to maintain innovative initiatives.
• Report insights to stakeholders—highlighting performance, identifying bottlenecks, and proposing strategic optimizations.

Qualifications & Skills

• Education: Bachelor’s degree in Marketing, Business, Communications, or related field. Certifications in digital marketing, SEO, SEM, or analytics are a plus.
• Experience: Typically 2–4+ years in digital marketing, with proven success in strategic campaign management.
• Technical Know‑How: Familiarity with SEO, SEM, PPC, CMS, email marketing tools; basic comfort with HTML/CSS or design tools is beneficial.
• Communication & Collaboration: Exceptional verbal and written skills, adept at aligning with external partners.
• Project Management: Strong organization, multitasking, and ability to deliver on deadlines across multiple campaigns.

Job Posting: Sales Engineer

Location: Southern part of India ( Hyderabad / Nearby Location)

Industry: Production / Manufacturing / Maintenance

Experience: 1–4 years

Education: B.E. / Diploma (Mechanical)

Must be Only from Power Industry

Job type : Field work need to visit industries do marketing of the products ( Quarterly visit to their Mumbai) Office

Working Days : Monday to Saturday - Saturdays half day

Working time :9:30 to 6pm

Opening for Sales Engineer for a global leader in wear-resistant solutions, serving industries such as Power, Steel, Mining, and Cement. With operations and associations across the UAE, South Africa, USA, and India

Key Responsibilities

Achieve assigned sales targets for products and solutions. 

Engage with corporate customers for business development and relationship management. 

Conduct technical presentations and product demonstrations at client sites. 

Handle technical and commercial aspects of customer inquiries. 

Ensure prompt resolution of customer complaints and quality issues. 

Develop and execute short-term and long-term marketing goals. 

Submit regular reports on marketing activities and progress. 

Be open to travel or relocation across India as required. 

(For Managerial Role) Lead and mentor application engineers to streamline production systems and processes. 

Desired Candidate Profile

1–3 years of experience in selling equipment or machinery in Power, Steel, Cement, or Mining sectors. 

Strong knowledge of Power sector operations. 

Excellent communication skills in English and Hindi (Tamil/Telugu preferred). 

Proven ability to handle clients and achieve sales targets. 

Team-handling experience is an added advantage. 

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

Job Description

We are seeking a skilled Full-stack developer. As a Full-stack developer, you will collaborate with an international cross-functional teams to design, develop, and deploy high-quality software solution.

Responsibilities:

Design, develop, and maintain the application.

Write clean, efficient, and reusable code.

Implement new features and functionality based on business requirements.

Participate in system and application architecture discussions.

Create technical designs and specifications for new features or enhancements.

Write and execute unit tests to ensure code quality.

Debug and resolve technical issues and software defects.

Conduct code reviews to ensure adherence to best practices.

Identify and fix vulnerabilities to ensure application integrity.

Working with the product owner to ensure seamless integration of user-facing elements.

Collaborating with DevOps teams for deployment and scaling.

Requirements:

Bachelor’s degree in computer science or information technology, or a related field.

Proven experience as a skilled Full-stack developer. Experience in Insurance domain is appreciated.

Excellent problem-solving and debugging skills.

Strong communication and collaboration abilities to work effectively in a team environment.

Strong experience with Spring Boot 3, Java 17 or newer and Maven.

Skills & Requirements

Angular 18+, GitHub, IntellJ IDEA, Java 11+, Jest, Kubernetes, Maven, Mockito, NDBX/ng-aquila, NGRX, Spring Boot, State Management, Typescript, Playwright, PostgreSQL, Sonar, Swagger, AWS, Camunda, Dynatrace, Jenkins, Kafka, NGXS, Signals, Taly.

Requirements:

• 3+ years’ experience under your belt developing performance-critical applications that run in a production environment using Node.Js
• Expertise in Database modeling, preferably relational DB, spotting DB bottlenecks, and writing optimized DB queries.
• Expertise in common Cloud technologies, AWS/GCP Knowledge of CI/CD tools and workflows.
• Knowledge in one or more of the following: NoSQL (especially, but not only Redis), Queueing system experience (Kafka, RabbitMQ, ActiveMQ, MSMQ)
• Good stakeholder management skills, with an ability to build trust and rapport with internal and external stakeholders
• It is good to have knowledge of Kubernetes and Docker and related deployment technologies.
  
  

Roles & Responsibilities:

• Write well-designed, testable, efficient, and high-quality code.
• Design (LLD & HLD) and architect technical solutions for the business problems of a large-scale system.
• Prepare and produce releases of software components.
• Support continuous improvement by investigating alternatives and technologies.
• Contribute to all phases of the development lifecycle
• We believe leadership comes through ownership and so we love people who take ownership of their work and lead by example

• Experience working with HTML5, CSS3 in user interface design.
• Understanding of web technologies including one or more of the following:, Javascript (React, Angular, Node, D3, etc.)
• Expert knowledge on CSS preprocessors like Sass and LESS
•  Experience on  RESTful API.
• Strong typography, layout and visual design skills.

• Good exposure to databases, SQL queries
• Good analysis skills in order to troubleshoot and resolve the problems.
• Creative to suggest ways to simplify the UI workflows