Telesales Executive

Role Overview

The Senior AI/ Machine Learning Engineer will design, build, and optimise the core intelligence layer that powers Cliply’s video understanding and content analysis platform.

This role blends deep hands-on engineering with architectural ownership. You will work across video, audio, and text modalities, shaping model design while also delivering production-ready ML systems. You will be the technical anchor for Cliply’s AI stack, partnering closely with the Lead Architect and the engineering team to bring research concepts into scalable, real-world systems.

Key Responsibilities

Multimodal & Video ML Architecture

• Design and validate deep learning architectures for video, audio, and text understanding, including temporal modelling and multimodal fusion.
• Define approaches for long-sequence modelling, representation learning, and sequence-to-sequence tasks.
• Lead experiments with transformers, vision transformers, video encoders, and hybrid multimodal architectures.

Model Development & Optimisation

• Build and optimise models for content understanding, highlight detection, ranking, and scoring.
• Implement training pipelines, data loaders, augmentations, and evaluation metrics for large-scale video datasets.
• Optimize models for latency, throughput, and GPU efficiency using techniques such as quantization, pruning, distillation, batching, and ONNX/TensorRT.

Production ML Engineering

• Convert prototypes into robust, production-ready services.
• Collaborate with backend engineers to deploy models via scalable APIs and micro-services.
• Monitor model performance in production and design retraining loops for continuous improvement.

Technical Leadership

• Establish best practices for experimentation, evaluation, documentation, and reproducibility.
• Provide mentorship to junior engineers and contribute to Cliply’s long-term AI roadmap.
• Influence architectural decisions across the AI stack to ensure scalability and reliability.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).
• 5–10+ years of experience as an ML Engineer, Applied Scientist, or similar role.
• Strong proficiency in PyTorch or TensorFlow, with hands-on experience training deep learning models.
• Expertise in at least two of the following:

1. Video understanding / video ML
2. Computer vision
3. Speech/audio processing
4. Natural language processing
5. Multimodal fusion

• Experience with GPU training, distributed training, and large-scale datasets.
• Strong understanding of model optimization (quantization, pruning, distillation, ONNX/TensorRT).
• Solid software engineering fundamentals (Python, version control, testing, code review).

Preferred Qualifications

• Experience with multimodal architectures (video-text, audio-text, cross-modal transformers).
• Experience with MLOps tooling (MLflow, Weights & Biases).
• Prior work in startup environments or fast-paced product teams.
• Contributions to open-source ML projects or competitive ML experience (e.g., Kaggle).

Why Join Cliply

• Build the core intelligence layer of a next-generation video understanding platform.
• Own end-to-end architecture and model design - your work becomes the product.
• Work with a founder-led team that values technical excellence, autonomy, and speed.
• Shape the future of multimodal AI in a real product used by creators and enterprises.

1. Campaign Development: Creating and launching marketing campaigns across various channels, including social media, email, search, display, and affiliate marketing.

2. Targeting and Segmentation: Identifying and targeting specific audience segments to maximize campaign effectiveness and ROI.

3. Ad Optimization: Continuously monitoring and optimizing ad performance, including ad copy, images, targeting, and bidding strategies.

4. Budget Management: Managing and allocating marketing budgets to maximize ROI and achieve business objectives.

5. Data Analysis: Analyzing campaign data and metrics to measure performance, identify areas for improvement, and inform future marketing strategies.

6. A/B Testing: Conducting A/B testing and experimentation to optimize campaign elements, such as ad creative, landing pages, and email subject lines.

7. Conversion Rate Optimization: Optimizing landing pages, websites, and other digital assets to improve conversion rates and user experience.

8. Return on Ad Spend (ROAS) Analysis: Measuring and analyzing ROAS to ensure that marketing campaigns are generating a positive return on investment.

9. Cross-Channel Marketing: Coordinating and executing marketing campaigns across multiple channels, including social media, email, and search.

10. Team Collaboration: Working closely with cross-functional teams, including sales, product, and creative, to ensure that marketing campaigns are aligned with business objectives and goals.

About LambdaTest

We are the only cloud-based testing platform aimed at bringing the whole testing ecosystem to cloud. Today we have a powerful cloud network of 2000+ real browsers and operating systems that helps testers in cross-browser and cross platform compatibility testing.

On a mission to provide the most powerful, cutting-edge, comprehensive, and secure cloud test platform to empower software testers & developers globally to perform testing intelligently at scale.

We envision an integrated platform where professionals can rely to perform and manage all types of tests without being limited by infrastructure dependency. So people could focus on things that matter the most, i.e. their tests.

We are a dynamic team that works in a fast-paced environment, ambitious to make a huge impact. Aligned with the company’s vision and strategy, the cross-functional teams work closely to build cutting-edge SaaS products that enable software developers & testers globally to perform testing intelligently at scale. Default to transparency, we share stories of our successes, failures, challenges, and interests so that we can learn from and support one another.

LogiNext is looking for a technically savvy and passionate Mobile Application Developer to cater to the development and launch of core mobile product features. You will help the team in building an awesome product with your optimized code. You will make a humongous impact on design, architecture, implementation and enhancement of the applications that exceed client expectations in terms of value and benefit.

You have hands-on experience in building secure, high-performing and scalable mobile applications. Your design intuition inclines towards usability, elegance and simplicity. You are biased towards open-source tools and existing frameworks. You have assisted in shipping applications with beautiful front-end and intelligent back end. You have demonstrated strong interpersonal and communication skills.

Responsibilities

Develop cutting edge native Android or iOS applications for the mobile platform Build, test, maintain and enhance mobile apps having elegant and efficient UI/UX to enhance client experience Own features from their ideation, design, development, test, release and maintenance Be a resident expert of new trends and implement the latest Android/iOS features to maximize application performance Maintain high standards of quality and responsiveness through technical design analysis, code reviews and test automation Collaborate with a talented team of product managers, engineers, and designers Demonstrate high level of ethics, dedication and teamwork

Requirements

Bachelor’s degree in Computer Science, Information Technology or related field 8 to 10 years of experience in developing native Android or iOS mobile applications Strong knowledge of programming language in Swift or Java/Kotlin, SQLite and IDE like XCode or Android Studio Hands on experience in using Location Based Services, REST Web Services Integration, FCM, Firebase and Battery Optimization Techniques Strong experience in memory management, performance tuning and resource optimization Deep knowledge of mobile automation and unit testing frameworks Proven ability to drive large scale projects with deep understanding of Agile SDLC, high collaboration and leadership Experience in both Android and iOS applications is a plus Excellent written and oral communication skills, judgment and decision-making skills

Key Responsibilities:

Record to Report, Taxation & Filing.

Requirements:

Electronic payment of all federal, state & local payroll taxes where applicable, with accurate and timely payroll tax deposits and returns.

Maintain records accordingly.

Withholding & remittance of employee garnishment payments to the appropriate agencies.

Working Hours: 7 PM- 4 AM |Mon-Fri

Working Location: Aligarh, Uttar Pradesh

1. 4. Try to bring delivery associates local persons or the needy.

React Native Developers

• l React Native
• l Redux and State Management
• l Experience with OIDC/OAUTH2
• l Git and Git Flow Processes
• l JavaScript (ES6 and ES.next)
• l Unit Testing (Jest, Jasmine or similar frameworks)
• l Server Side Programming (NodeJS, Express)
• l OpenAPI Spec