Ironclad CLM Consultant (Analyst/Consultant Level)

About Us – Learners Point

Learners Point Academy is one of Dubai’s leading professional training and skill development institutes. For over two decades, we have been committed to empowering individuals and organizations with globally recognised training solutions that enhance capability, performance, and career growth.

As industries evolve rapidly through technology and innovation, we strive to bridge the skills gap by offering practical, results-driven courses delivered by certified industry experts. Our diverse portfolio includes Corporate Training, Professional Certification Programs, and Custom Learning Solutions tailored to the needs of professionals across the MENA region.

At Learners Point, we believe learning is a continuous journey. Our mission is to help professionals unlock their true potential, elevate their expertise, and stay competitive in a dynamic global workforce. With modern learning methodologies, real-world case studies, and an engaging training environment, we ensure our learners gain the confidence and competencies required to excel in their chosen fields.

Work Days: Monday to Saturday or Sunday to Friday

Experience Level: 1–2

Location: Bangalore

Industry: EdTech / SaaS / Corporate Training / IT Solutions

About the Role

We are looking for a highly motivated Sales Development Representative (SDR) to join our B2B Enterprise Sales team. The ideal candidate will have excellent communication skills, a strong grasp of outbound prospecting, and the ability to engage confidently with decision-makers across the Middle East.

Sales Development Representative (SDR) — End-to-End Role Framework

Middle East B2B Enterprise Segment (UAE, KSA, Qatar, Oman, Bahrain, Kuwait, EMEA)

1️⃣ Stage 1: Market Understanding & Foundation

Roles & Responsibilities

• Understand the regional business landscape (government, oil & gas, banking, healthcare, education, retail, logistics).
• Study local buyer behavior, business etiquette, and decision-making hierarchies.
• Learn company offerings, ROI value, and competitive advantage.
• Segment Ideal Customer Profiles (ICPs).

Common Client Challenges & SDR Solutions

Challenge Description SDR Solutions Trust barrier with new vendors Clients prefer working with known providers. Build credibility with local case studies and testimonials. Lengthy decision cycles Multiple internal approvals. Maintain consistent, respectful follow-up. Language & cultural nuances Arabic preference and formality. Adapt communication tone; use professional Arabic greetings if possible.

2️⃣ Stage 2: Lead Generation & Prospecting

Roles & Responsibilities

• Identify target companies via LinkedIn Sales Navigator, Apollo, ZoomInfo, or GulfTalent.
• Source decision-makers (L&D, HR Heads, CXOs).
• Maintain CRM (HubSpot / Zoho / Salesforce).
• Classify leads into Cold, Warm, Hot.

Challenges

Limited online visibility, ignored outreach, outdated regional data.

Solutions

Personalized messaging, verified contact data, continuous CRM hygiene.

Stage 3: Outreach & Initial Contact

• Execute cold calls, emails, and LinkedIn engagements.
• Communicate clear value (ROI, cost efficiency, learning outcomes).
• Respect regional work hours and cultural etiquette.

4️⃣ Stage 4: Qualification & Discovery

Use BANT/MEDDIC frameworks — Budget, Authority, Need, Timeline.

Position the organization as a consultative partner, not a vendor.

Stage 5: Meeting Scheduling & Handoff

• Book Google Meet/Teams or in-person meetings.
• Confirm attendance 24 hours in advance.
• Provide the AE with a complete lead brief.

Stage 5: Meeting Scheduling & Handoff

• Book Google Meet/Teams or in-person meetings.
• Confirm attendance 24 hours in advance.
• Provide the AE with a complete lead brief.

Stage 6: Follow-up & Lead Nurturing

• Maintain structured follow-up cadence (3–5 touchpoints / 3 weeks).
• Send relevant case studies or ROI reports.
• Track metrics: lead-to-meeting ratio, meeting-to-opportunity ratio, stage duration.

Stage 7: Reporting & Collaboration

• Keep CRM updated in real-time.
• Hold weekly syncs with AEs.
• Analyze data to improve perform

Stage 8: Continuous Learning & Cultural Adaptation

• Learn ongoing market trends (Vision 2030, localization, workforce training budgets).
• Upskill through webinars on negotiation, consultative sales, and cross-cultural communication.

Final Summary

Stage Core Responsibility Client Challenge SDR Solution 1. Market Research Learn region & product Cultural barriers Localized case studies 2. Prospecting Identify ICP & leads Limited data Verified sources 3. Outreach Contact prospects Gatekeepers Multi-channel, polite persistence 4. Qualification Assess potential Budget opacity Consultative discovery 5. Scheduling Arrange AE meetings No-shows Clear agenda & reminders 6. Follow-up Nurture leads Long cycles Consistent follow-up 7. Reporting Track metrics Poor CRM data Real-time updates 8. Learning Adapt & grow Cultural gaps Ongoing upskilling

We're seeking an AI/ML Engineer to join our team-

As an AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real world business problems. You will work closely with cross-functional teams, including data scientists, software engineers, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop. Your role will involve researching cutting-edge algorithms, data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.

Responsibilities

• Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI
• AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.
• Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data
• Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics
• Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behavior, and performance metrics
• Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems
• Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes
• Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions
• Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference

Requirements

• Bachelor's, Master's or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus
• Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects
• Proficiency in programming languages commonly used for AI/ML. Preferably Python
• Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.
• Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.
• Strong understanding of machine learning algorithms, statistics, and data structures
• Experience with data preprocessing, data wrangling, and feature engineering
• Knowledge of deep learning architectures, neural networks, and transfer learning
• Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment
• Solid understanding of software engineering principles and best practices for writing maintainable and scalable code
• Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions
• Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders

Greetings , Wissen Technology is Hiring for the position of Data Engineer

Please find the Job Description for your Reference:

JD

• Design, develop, and maintain data pipelines on AWS EMR (Elastic MapReduce) to support data processing and analytics.
• Implement data ingestion processes from various sources including APIs, databases, and flat files.
• Optimize and tune big data workflows for performance and scalability.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Manage and monitor EMR clusters, ensuring high availability and reliability.
• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and store data in data lakes and data warehouses.
• Implement data security best practices to ensure data is protected and compliant with relevant regulations.
• Create and maintain technical documentation related to data pipelines, workflows, and infrastructure.
• Troubleshoot and resolve issues related to data processing and EMR cluster performance.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in data engineering, with a focus on big data technologies.
• Strong experience with AWS services, particularly EMR, S3, Redshift, Lambda, and Glue.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with big data frameworks and tools such as Hadoop, Spark, Hive, and Pig.
• Solid understanding of data modeling, ETL processes, and data warehousing concepts.
• Experience with SQL and NoSQL databases.
• Familiarity with CI/CD pipelines and version control systems (e.g., Git).
• Strong problem-solving skills and the ability to work independently and collaboratively in a team environment

Job Category: Software Development

Job Type: Full Time

Job Location: Bangalore

Gnani.ai aims to empower enterprises with AI based speech technology.

Gnani.ai is an AI-based Speech Recognition and NLP Startup that is working on voice-based solutions for large businesses. AI is the biggest innovation that is disrupting the market and we are at the heart of this disruption. Funded by one of the largest global conglomerates in the world, and backed a number of market leaders in the tech industry,

We are working with some of the largest companies in the banking, insurance, e-commerce and financial services sectors and we are not slowing down. With aggressive expansion plans, Gnani.ai aims to be the leader in the global market for voice-based solutions.

Gnani.ai is building the future for voice-based business solutions. If you are fascinated by AI and would like to work on the latest AI technologies in a high-intense, fast-growing and flexible work environment with immense growth opportunities, come and join us. We are looking for hard workers, who are ready to take on big challenges.

NLP Software Developer

Gnani.ai is looking to hire software developers with 0 to 2+ Years of experience, with a keen interest in designing and developing chat and voice bots. We are looking for an Engineer who can work with us in developing an NLP framework if you have the below skill set

Requirements :

• Proficient knowledge of Python
• Proficient understanding of code versioning tools, such as Git / SVN.
• Good knowledge of algorithms to find and implement tools for NLP tasks
• Knowledge of NLP libraries and frameworks
• Understanding of text representation techniques, algorithms, statistics
• Syntactic & Semantic Parsing
• Knowledge/work experience on No-SQL database Mongo.
• Good knowledge of Docker container technologies.
• Strong communication skills

Responsibilities :

• Develop NLP systems according to requirements
• Maintain NLP libraries and frameworks
• Design and develop natural language processing systems
• Define appropriate datasets for language learning
• Use effective text representations to transform natural language into useful features
• Train the developed model and run evaluation experiments
• Find and implement the right algorithms and tools for NLP tasks
• Perform statistical analysis of results and refine models
• Constantly keep up to date with the field of machine learning
• Implement changes as needed and analyze bugs

Good To Have :

Start up experience is a plus

This job position will be placed under the BPO Marketing and Communication Unit of the Company.

We are looking for a Paid Media Specialist who will own and manage various paid social campaign platforms specifically on Google, Facebook, YouTube and Tiktok, from marketing brief, to execution, with a proven track record of campaign management, budget management, performance reporting, forecasting and competitive analysis and more.

Essential Duties & Responsibilities:

● Work in a Business Process Outsourcing (BPO) Module providing marketing solutions to different local and international clients and Business Development Units.

● Plan, manage, optimize and execute paid social campaigns and programs to drive right messaging to the right audiences on the right platform to maximize conversions while minimizing cost per acquisition ● Data Analysis: Analyze player data to identify trends, improve the player experience, and make data-driven decisions for the casino's operations.

● Strategize and execute integrated paid media campaigns that use multiple channels including but not limited to Google, LinkedIn, Facebook, and Tiktok displays programmatic and more to drive conversions across all phases of the customer journey

● Marketing and Promotions: Collaborate with the marketing team to plan and execute promotional campaigns to attract and retain players.

● Data driven decision making to optimize and execute paid campaigns to drive quality leads in turn helping improve sales velocity

● Collaborate with Marketing and Sales team to strategize, architect, deploy and track digital campaigns that drive performance

● Reporting: Generate regular reports on key performance indicators, financial metrics, and operational data to assess the casino's performance.

● Develop A/B Testing plans for end-to-end Paid media campaigns by applying growth hacking mentality to improve customer engagement

● Support executing content promotions and distribution with digital channels

● Experimenting with new or existing digital channels and trying out new tactics that contribute to a strong ROI

● Analyze the efficiency of each digital channel based on KPIs for continuous improvement

The specific responsibilities and requirements for a Paid Media Specialist in an online casino may vary depending on the size and nature of the casino, as well as local regulations and industry standards.

Salary Php80,000 - Php100, 000

Work Experience Requirements

● At least 3-5 years of experience in Paid Media with hands on experience

● Excellent understanding of customer’s playing behavior as it pertains to the web

● Proven track record

● Must be able to use paid media tools

● Strong experience with Google Analytics or similar tracking tool

● Strong analytical, interpersonal, and communication skills

● Excellent ability to collaborate cross functionally

● Strong ability to prioritize work and projects based on short and long-term needs

● Exceptional verbal & written communication skills, especially the ability to think on your feet

● Must be willing to report onsite in Cambodia

We want a developer who has experience with Quickbooks API, who can create a self serve tool, which will map data from other accounting software to QBO

Not just a delivery company…

RaRa Delivery is revolutionising instant delivery for e-commerce in Indonesia through data driven logistics.

RaRa Delivery is making instant and same-day deliveries scalable and cost-effective by leveraging a differentiated operating model and real-time optimisation technology. RaRa makes it possible for anyone, anywhere to get same day delivery in Indonesia. While others are focusing on ‘one-to-one’ deliveries, the company has developed proprietary, real-time batching tech to do ‘many-to-many’ deliveries within a few hours.. RaRa is already in partnership with some of the top eCommerce players in Indonesia like Blibli, Sayurbox, Kopi Kenangan and many more.

We are a distributed team with the company headquartered in Singapore 🇸🇬 , core operations in Indonesia 🇮🇩 and technology team based out of India 🇮🇳

Future of eCommerce Logistics.

• Data driven logistics company that is bringing in same day delivery revolution in Indonesia 🇮🇩
• Revolutionising delivery as an experience
• Empowering D2C Sellers with logistics as the core technology

• 5 - 7 years Experience with the following technologies: Core Java/J2EE, Spring Boot, Creating API, Hibernate, JDBC, SQL/PLSQL, messaging architecture, REST/Web services, Linux
• Expertise in application, data and infrastructure architecture disciplines
• Advanced knowledge of architecture, design and business processes
• 4+ years of Java, J2EE development experience
• Strong technical development experience in effectively writing code, performing code reviews, and implementing best practices on configuration management and code refactoring
• Experience in working with vendor applications
• Experience in making optimized queries to MySQL database
• Proven problem solving and analytical skills
• A delivery-focused approach to work and the ability to work without direction
• Experience in Agile development techniques, including Scrum
• Experience implementing and/or using Git
• Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals
• Bachelor degree in Computer Science or related discipline preferred

• Strong knowledge of PHP web frameworks (Core PHP, CodeIgniter, Laravel).
• Should be strong in jQuery.
• Good knowledge of relational databases, version control tools and of developing web services Hands on Experience in Design, Development, Module Handling.
• Candidate should have strong knowledge of Api creation as well as third party Api integration

As a Zoop Designer, you will be responsible for all communication and graphic design for our marketing and product initiatives. 

This individual is a Martian, a storyteller and a visionary for design and its impact on everything. They are proactive in exploring trends and coming up with new thoughts and concepts without any caffeine.  

We all know design is highly abstract but unique and jaw dropping design strikes everyone out. Design practices lay the foundation of how our products and brand are perceived by customers. 

Job Role

• You will be responsible for gathering inspiration from unlimited resources, be our go-to guy for design. 
• You will always be working towards  levelling up your Photoshop, Illustrator and tool skills 
• Help us build a powerful brand with a sophisticated and experienced design acumen 
• will keep yourself Up to date with the latest graphic trends and techniques 
• You will possess creative flair, versatility, conceptual/visual ability and originality 

What you'll do: 

• Responsible for Designing Brand Assets & Collaterals 
• Create Graphic Illustrations, Components & Layouts 
• Designing of Branding and Advertising Assets 
• Creating wireframes, storyboards, sitemaps 
• Quick Mockups and Screen Flows 
• Animations 
• Video & GIF 
• Conceptual designing 
• Develop graphics for Social Media illustrations, Emailers, logos, websites, etc. as needed .

Tools and skills Required :

Must Have

• Adobe Photoshop 
• Adobe Illustrator 
• AdobeXD or Figma 
• Indesign 

Good to Have Skills

• Adobe After Effects 
• Adobe Premier Pro (Bonus Point) 
• Rive (Bonus Point) 

• Health Memberships 
• Sports Subscriptions 
• Entertainment Subscriptions 
• Key Conferences and Event Passes
• Learning Stipend 
• Team Lunches and Parties 
• Travel Reimbursements 
• ESOPs