
Responsibilities:
- Cold call prospects that are generated by external source of lead.
- Develop sales opportunities by researching and identifying potential accounts.
- Identify decision makers with target leads to begin the sale process.
- Penetrate all targeted accounts and radiate sales from within client base.
- Collaborate with appropriate team members to determine necessary strategic sale approaches.
- Create and deliver qualified opportunities to team members
- Maintain & expand the company database of prospects.
- Ensure follow-up by passing leads to appropriate team members with to call to action, dates, complete profile information, sources etc.
- Assist in creating Commercial proposals or RFP to potential customers.
- Support marketing efforts such as Webinars, events, Digital marketing, etc., as necessary.
- Make out-bound follow up calls to existing customers via email & telephone, cross sell & upsell.
- Handle inbound, unsolicited prospect calls and convert into opportunity/ sales.
- Overcome Objections of prospects customers.
- Emphasize product /services features and benefits, quote prices, discuss credit terms and prepare sales order form/ or reports.
- Enter new customer data and update changes in existing accounts in the Corporate data base in CRM.
- Attend periodic sales training wherever applicable.
- Appropriately communicate brand identity & corporate position.
Requirements:
- Strong selling skills
- Experience in Inside sales for minimum 1-2 years
- Result oriented, target driven and able to think out of box.
- Ability to understand the business dynamics and think of new ways for selling the company product & services.
- Good communication skills and proficiency in writing skills.
Additional Information:
- The company has a BYOD policy. It is mandatory to have own Laptop, Mobile device and a good internet connection.
- This is a "Work from home" requirement at least until end of 2020.
- The candidates however, must be willing to work out-of Noida or Mumbai offices in 2021.

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Job Role : Azure DevSecOps Engineer (Security-Focused)
Experience : 12 to 18 Years
Location : Preferably Delhi NCR (Hybrid); Remote possible with 1–2 office visits per quarter (Gurgaon)
Joining Timeline : Max 45 days (Buyout option available)
Work Mode : Full-time | 5 Days Working
About the Role :
We are looking for a highly experienced Azure DevSecOps Engineer with a strong focus on cloud security practices.
This role is 60–70% security-driven, involving threat modeling, secure cloud architecture, and infrastructure security on Azure using Terraform.
Key Responsibilities :
- Architect and maintain secure, scalable Azure cloud infrastructure using Terraform.
- Implement security best practices : IAM, threat modeling, network security, data protection, and compliance (e.g., GDPR).
- Build CI/CD pipelines and automate deployments using Azure DevOps, Jenkins, Prometheus.
- Monitor, analyze, and proactively improve security posture.
- Collaborate with global teams to ensure secure design, development, and operations.
- Stay updated on cloud security trends and lead mitigation efforts.
Mandatory Skills :
Azure, Terraform, DevSecOps, Cloud Security, Threat Modelling, IAM, CI/CD (Azure DevOps), Docker, Kubernetes, Prometheus, Infrastructure as Code (IaC), Compliance Frameworks (GDPR)
Preferred Certifications :
Certified DevSecOps Professional (CDP), Microsoft Azure Certifications
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:
- Video understanding / video ML
- Computer vision
- Speech/audio processing
- Natural language processing
- 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.
🌍 We’re Hiring: Senior Field AI Engineer | Remote | Full-time
Are you passionate about pioneering enterprise AI solutions and shaping the future of agentic AI?
Do you thrive in strategic technical leadership roles where you bridge advanced AI engineering with enterprise business impact?
We’re looking for a Senior Field AI Engineer to serve as the technical architect and trusted advisor for enterprise AI initiatives. You’ll translate ambitious business visions into production-ready applied AI systems, implementing agentic AI solutions for large enterprises.
What You’ll Do:
🔹 Design and deliver custom agentic AI solutions for mid-to-large enterprises
🔹 Build and integrate intelligent agent systems using frameworks like LangChain, LangGraph, CrewAI
🔹 Develop advanced RAG pipelines and production-grade LLM solutions
🔹 Serve as the primary technical expert for enterprise accounts and build long-term customer relationships
🔹 Collaborate with Solutions Architects, Engineering, and Product teams to drive innovation
🔹 Represent technical capabilities at industry conferences and client reviews
What We’re Looking For:
✔️ 7+ years of experience in AI/ML engineering with production deployment expertise
✔️ Deep expertise in agentic AI frameworks and multi-agent system design
✔️ Advanced Python programming and scalable backend service development
✔️ Hands-on experience with LLM platforms (GPT, Gemini, Claude) and prompt engineering
✔️ Experience with vector databases (Pinecone, Weaviate, FAISS) and modern ML infrastructure
✔️ Cloud platform expertise (AWS, Azure, GCP) and MLOps/CI-CD knowledge
✔️ Strategic thinker able to balance technical vision with hands-on delivery in fast-paced environments
✨ Why Join Us:
- Drive enterprise AI transformation for global clients
- Work with a category-defining AI platform bridging agents and experts
- High-impact, customer-facing role with strategic influence
- Competitive benefits: medical, vision, dental insurance, 401(k)
Senior Data Analyst
Experience: 8+ Years
Work Mode: Remote Full Time
Responsibilities:
• Analyze large datasets to uncover trends, patterns, and insights to support business goals.
• Design, develop, and manage interactive dashboards and reports using Power BI.
• Utilize DAX and SQL for advanced data querying and data modeling.
• Create and manage complex SQL queries for data extraction, transformation, and loading processes.
• Collaborate with cross-functional teams to understand data requirements and translate them into actionable solutions.
• Maintain data accuracy and integrity across projects, ensuring reliable data-driven insights.
• Present findings to stakeholders, translating complex data insights into simple, actionable business recommendations.
Skills:
Power BI, DAX (Data Analysis Expressions), SQL, Data Modeling, Python
Preferred Skills:
• Machine Learning: Exposure to machine learning models and their integration within analytical solutions.
• Microsoft Fabric: Familiarity with Microsoft Fabric for enhanced data integration and management.
· Good experience & strong knowledge in Python programming with Object Oriented Programming methodologies
· Good experience & knowledge in web/mobile application UI automation & related tools/packages (like selenium/appium)
· Good exposure to different testing methodologies & QA exposure and any standard test framework (like pytest, unittest etc)
· Very good in analytical & logical thinking on different perspectives. Ability to handle challenges & resolve blockers independently
· Self-driven, Accountability and ownership of problems to achieve team goals & ability to contribute independently
· Good team player & proactive in giving new ideas/suggestions/solutions & constructive analysis of team member’s ideas
· Hands on experience with different tools - Testing tool, Version Control systems (Git), Test Management Software, Bug Tracking software and CI tools (Jenkins etc.)
-
Excellent Project Management Skills - Effort estimation, scoping, prioritisation and timely delivery
-
Runs daily stand-up, sprint review, iteration planning and retrospective
-
Analyze the product requirements specs & designs, convert them to tech specs, write user stories, workflows & test criteria
-
Ensure the completeness and accuracy of every feature developed with demos & verification from developers/QA and acceptance demo with Product Management
-
Keep all stakeholders informed pro-actively on the progress, blockers, changes & issues
-
Work with the teams to resolve people problems, dependencies, project roadblocks, and conflicts
-
Implement and support software principles, rules and processes
-
Collaborate effectively with cross functional teams, act as the primary technical contact, Take end to end ownership on mission critical projects
-
Do the code reviews, quality checks, test effort planning, performance testing, UI & UX and code merges and deployments
-
Build high energy, high performance and super productive teams, Proactively plan resource hiring, and the need for training and talent development
-
BE/B.Tech/MCA preferably with Computer Science
-
A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design
-
Minimum 8 years of hands-on experience in developing and delivering products and using Agile sprints
-
Managing the overall Product releases from initial requirements till the final deliver
-
Deep understanding of the fundamentals of iterative and incremental development, expertise in agile methodologies and frameworks
-
Self-starter, proactive & a skilled decision maker in doing what is right
-
Works independently & great at team collaboration
-
Team Leader - Knack for influencing without being authoritative
-
Possess Technical Breadth and effectively mentor tech team
-
Must have very good recommendations from peers and managers in past companies
-
Experience with Coding, Architecting & Developing, UX, Designs & Quality Assurance
-
Experience with Cloud Deployments on AWS etc
Experience in Salesforce.com Development environments (VS Code)
Knowledgeable in Apex, Visual force, Lightning Components, Lightning Web Components, SFDX
Experience with configuration and/or integration
4-6 years of Salesforce.com experience
Salesforce.com Platform Developer certifications
Understand functional requirements and be able to develop technical designs using standard patterns. Should also be able to communicate this effectively to the team.
Should have very good technical and problem-solving skills
Analyze and identify gaps in functional/business requirements and should be able to effectively communicate this to both Business and Functional analysts
Should be able to assess the impact on technical designs caused by changes in functional requirements
Should be able to perform independent code reviews and execute unit tests on modules developed
REQUIREMENT:
- Previous experience of working in large scale data engineering
- 4+ years of experience working in data engineering and/or backend technologies with cloud experience (any) is mandatory.
- Previous experience of architecting and designing backend for large scale data processing.
- Familiarity and experience of working in different technologies related to data engineering – different database technologies, Hadoop, spark, storm, hive etc.
- Hands-on and have the ability to contribute a key portion of data engineering backend.
- Self-inspired and motivated to drive for exceptional results.
- Familiarity and experience working with different stages of data engineering – data acquisition, data refining, large scale data processing, efficient data storage for business analysis.
- Familiarity and experience working with different DB technologies and how to scale them.
RESPONSIBILITY:
- End to end responsibility to come up with data engineering architecture, design, development and then implementation of it.
- Build data engineering workflow for large scale data processing.
- Discover opportunities in data acquisition.
- Bring industry best practices for data engineering workflow.
- Develop data set processes for data modelling, mining and production.
- Take additional tech responsibilities for driving an initiative to completion
- Recommend ways to improve data reliability, efficiency and quality
- Goes out of their way to reduce complexity.
- Humble and outgoing - engineering cheerleaders.








