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lead generation agent

Braxtone Group

<figure class="table"><table><tbody><tr><td>Main Purpose of Job:&nbsp;&nbsp;The role of Lead Generation Agent involves calling potential customers to collect accurate vehicle and insurance information, which will be converted into qualified leads for our motor insurance sales team. Full training will be provided.&nbsp;</td></tr><tr><td>Duties &amp; Responsibilities&nbsp;<ul><li>Make outbound calls to customers to gather car and insurance details.</li><li>Accurately record and update customer information in the system.</li><li>Convert collected data into warm, qualified leads for the sales team.</li><li>Maintain professionalism and a positive attitude during customer interactions.</li><li>Meet lead generation targets.</li></ul>&nbsp;</td></tr><tr><td>Skills &amp; Qualifications<ul><li>Clear and confident communication skills over the phone.</li><li>Good listening skills and attention to detail in data entry.</li><li>Previous call center or customer contact experience is preferred (training provided).</li><li>Ability to work in a team-oriented and target-driven environment.</li></ul></td></tr><tr><td>Typical Working ConditionsNormal Working&nbsp;Hours (40 hours&nbsp;a&nbsp;week)Working&nbsp;Timing may include rotating&nbsp;shift.Work may&nbsp;require occasional weekend and/or evening work &nbsp;&nbsp;</td></tr></tbody></table></figure>

Lead Generation Agent

TAT IT Technolgies

<div>
 
 Urgent requirement for Data Scientist (
 
 
 Core AI / NLP Engineering) is required for our client in Bahrain
 
 
 
 
 Design and develop machine learning models to support AI-driven banking solutions is MUST
 
 
 
 
 Python (PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI API, Anthropic Claude, etc.) is MUST
 
 
 
 
 LangGraph, AutoGen, CrewAI, Flowise, or similar agent frameworks is MUST
 
 
 
 
 Prompt engineering and orchestration (LangChain, LlamaIndex, Semantic Kernel, DSPy) is MUST
 
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop machine learning models to support AI-driven banking solutions
 </li>
 <li>
 Collaborate with data engineers to access and prepare data for modeling
 </li>
 <li>
 Apply statistical and ML techniques to solve business problems (e.g., churn prediction, credit
 </li>
 <li>
 scoring)
 </li>
 <li>
 Evaluate model performance and optimize for accuracy, precision, and recall
 </li>
 <li>
 Deploy models into production using MLOps frameworks and CI/CD pipelines
 </li>
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 Ensure models are explainable, auditable, and compliant with regulatory standards
 </li>
 <li>
 Work with business stakeholders to identify AI opportunities and define success metrics
 </li>
 <li>
 Document model assumptions, data sources, and performance benchmarks
 
 
 </li>
 </ul>
 Core AI / NLP Engineering
 
 
 <ul>
 <li>
 Python (PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI API, Anthropic Claude, etc.)
 </li>
 <li>
 LLM fine-tuning (LoRA, PEFT, prompt tuning)
 </li>
 <li>
 Retrieval-Augmented Generation (RAG), vector databases (Pinecone, FAISS, Weaviate, Chroma)
 </li>
 <li>
 Prompt engineering and orchestration (LangChain, LlamaIndex, Semantic Kernel, DSPy)
 </li>
 <li>
 Knowledge of embeddings, tokenization, and transformer architecture
 </li>
 <li>
 Cloud AI tools: AWS Bedrock, Azure OpenAI, Vertex AI, OpenSearch, ElasticSearch
 </li>
 <li>
 Model evaluation: hallucination detection, grounding, and benchmarking (BLEU, ROUGE, TruthfulQA, etc.)
 
 
 </li>
 </ul>
 Software Engineering &amp; Backend Integration
 
 
 <ul>
 <li>
 RESTful and GraphQL APIs, webhooks
 </li>
 <li>
 Containerization and deployment (Docker, Kubernetes, CI/CD)
 </li>
 <li>
 Authentication and user/session management
 </li>
 <li>
 Data pipelines and microservices
 </li>
 <li>
 Knowledge of frameworks like FastAPI, Flask, NestJS, or Express
 </li>
 <li>
 Integration with enterprise data (SharePoint, Salesforce, SQL, internal APIs)
 
 
 </li>
 </ul>
 Agent Orchestration &amp; Tooling
 
 
 <ul>
 <li>
 LangGraph, AutoGen, CrewAI, Flowise, or similar agent frameworks
 </li>
 <li>
 Task-decomposition and reasoning chains
 </li>
 <li>
 Function calling, tool use, and API chaining
 </li>
 <li>
 Memory design (short-term vs long-term)
 </li>
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 Context management and grounding strategies
 
 
 </li>
 </ul>
 Conversational UX / Design
 
 
 <ul>
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 Conversation design frameworks (Google CCAI, Microsoft Bot Framework, Voiceflow, Botpress)
 </li>
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 Flow design and intent management (Dialogflow, Rasa, Cognigy)
 </li>
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 Tone, empathy, and personality design for AI personas
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 A/B testing dialogue variants and measuring user satisfaction
 
 
 </li>
 </ul>
 Data &amp; Infrastructure
 
 
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 Data pipelines (Airflow, dbt, Kafka)
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 Structured/unstructured data ingestion (PDFs, databases, APIs)
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 Feature store and model registry management (MLflow, Kubeflow)
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 Vector database deployment and optimization
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 Monitoring, logging, and drift detection
 
 
 </li>
 </ul>
 Governance, Security &amp; Compliance
 
 
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 Model explainability (SHAP, LIME)
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 Bias/fairness audits and data privacy
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 Compliance with GDPR, ISO 42001, NIST AI RMF, and local banking regulations
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 Secure prompt logging and audit trails
 
 
 </li>
 </ul>
 Products &amp; Strategy
 
 
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 Translating business problems into AI use cases
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 Roadmapping and budget planning
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 KPI design (accuracy, user satisfaction, automation ROI)
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 Vendor management (OpenAI, Anthropic, AWS, etc.)
 </li>
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 Change management and user adoption
 
 
 </li>
 </ul>
 Skills: ai,design,nlp,data
</div>

Data Scientist (Core AI / NLP Engineering)

VAM SYSTEMS

<div>Job Description 
VAM Systems is currently looking for Data Scientists - Banking for our Bahrain operations with the following skillsets and terms &amp; conditions:
Years of Experience: 7 &ndash; 10 years
Qualification
Bachelor&rsquo;s Degree in Computer Science / Engineering 
Preferably BE Computer Science &amp; Engineering
Professional Training Required: Machine Learning, Deep Learning, MLOps, AI in Financial Services. 
Professional Qualification Required: Google Professional ML Engineer, Microsoft AI Engineer Associate Professional Licenses Required Not applicable. 
Professional Certifications Required: TensorFlow Developer Certificate, AWS Certified Machine Learning.
Must-Have:<ul><li>Proven hands-on delivery experience in banking, financial institutions, or insurance within Gen AI solutions such as chatbots, document analysis, etc., leveraging RAG and robust architecture with proper governance and security measures</li><li>Several years of ML experience with implemented use cases.</li><li>Hands-on work experience most of which in banking, financial institutions, or insurance industries.</li></ul>
Experience required:
Ability to build and deploy ML models using Python and relevant libraries. Understanding of supervised and unsupervised learning algorithms. 
Experience with model evaluation and performance metrics.
Familiarity with AI use cases in banking (e.g., fraud detection, personalization) Knowledge of data preprocessing and feature engineering. 
Ability to work with cloud-based ML platforms (e.g., Azure ML, AWS SageMaker). Understanding of MLOps and model lifecycle management. 
Ability to communicate insights and build explainable AI models. 
 
 
Core AI / NLP Engineering<ul><li>Python (PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI API, Anthropic Claude, etc.)</li><li>LLM fine-tuning (LoRA, PEFT, prompt tuning)</li><li>Retrieval-Augmented Generation (RAG), vector databases (Pinecone, FAISS, Weaviate, Chroma)</li><li>Prompt engineering and orchestration (LangChain, LlamaIndex, Semantic Kernel, DSPy)</li><li>Knowledge of embeddings, tokenization, and transformer architecture</li><li>Cloud AI tools: AWS Bedrock, Azure OpenAI, Vertex AI, OpenSearch, ElasticSearch</li><li>Model evaluation: hallucination detection, grounding, and benchmarking (BLEU, ROUGE, TruthfulQA, etc.)</li></ul>
 
Software Engineering &amp; Backend Integration<ul><li>RESTful and GraphQL APIs, webhooks</li><li>Containerization and deployment (Docker, Kubernetes, CI/CD)</li><li>Authentication and user/session management</li><li>Data pipelines and microservices</li><li>Knowledge of frameworks like FastAPI, Flask, NestJS, or Express</li><li>Integration with enterprise data (SharePoint, Salesforce, SQL, internal APIs)</li></ul>
Agent Orchestration &amp; Tooling
<ul><li>LangGraph, AutoGen, CrewAI, Flowise, or similar agent frameworks</li><li>Task-decomposition and reasoning chains</li><li>Function calling, tool use, and API chaining</li><li>Memory design (short-term vs long-term)</li><li>Context management and grounding strategies.</li></ul>
Joining time frame: (15 - 30 days)</div>

Data Scientists - Banking

<div>
 <ul>
 <li>
 BRIEF DESCRIPTION OF JOB FUNCTION
 
 
 </li>
 </ul>
 
 The Function Of Telemarketing Agent Entails The Following
 
 
 
 2.1.1. cold calling techniques on prospects
 
 
 2.1.2. persuading potential customers to purchase a product or service
 
 
 2.1.3. obtaining referrals and leads from a variety of sources from lead generation activities
 
 
 2.1.4. contributing to department&rsquo;s function of collecting data and converting
 
 
 them into qualified leads then conduct sales calls.
 
 
 <ul>
 <li>
 DUTIES ACTUALLY PERFORMED BY THIS POSITION:
 </li>
 <li>
 Serves customers by selling products via telephone.
 </li>
 <li>
 Contact individuals by telephone in order to solicit sales for goods or services.
 </li>
 <li>
 Recommends changes in products, service, and policy by evaluating results and competitive developments.
 </li>
 <li>
 Resolves customer complaints by investigating problems, developing
 
 
 </li>
 </ul>
 solutions, preparing reports, and making recommendations to management.
 
 
 <ul>
 <li>
 Maintains professional and technical knowledge by attending educational workshops, reviewing professional publications, establishing personal networks, and participating in professional societies.
 </li>
 <li>
 Conduct client or market surveys, and type detailed notes regarding sale or service offered.
 </li>
 <li>
 Deliver prepared sales talks, reading from scripts that describe products or services, to persuade potential customers to purchase a product or service.
 </li>
 <li>
 Explain products or services and prices, and answer questions from customers.
 </li>
 <li>
 Maintain records of contacts, accounts, and orders in the company&rsquo;s system only.
 </li>
 <li>
 Obtain customer information such as name, address, and payment method, and enter orders into computers.
 </li>
 <li>
 Obtain names and telephone numbers of potential customers from sources such as
 
 
 </li>
 </ul>
 referrals, cold calling, and any other legal means.
 
 
 <ul>
 <li>
 Assist and support the line manager by taking tasks assign by them when necessary.
 </li>
 <li>
 ESSENTIAL QUALIFICATION REQUIRED (EDUCATION/ EXPERIENCE/ SKILLS)
 </li>
 <li>
 Minimum of high school certification
 </li>
 <li>
 Diploma and some form of work experience is preferred
 </li>
 <li>
 Strong communication skills
 </li>
 <li>
 Good selling skills
 </li>
 <li>
 Positive energy and teamwork ethos
 </li>
 <li>
 Excellent written and oral communication skills.
 </li>
 <li>
 Good understanding of the services
 </li>
 <li>
 Be highly computer literate, particularly in Microsoft Office Products.
 </li>
 <li>
 Ability to persuade others to change their minds or behavior.
 </li>
 <li>
 Ability to give full attention to what other people are saying, and to actively look for ways to help people.
 </li>
 <li>
 KPIs
 
 
 </li>
 </ul>
 To achieve the daily and monthly sales KPIs as set by the management.
 
 
 Monthly sales results must be within targets set by management in terms of premium and commission income, and this is subject to review minimum of once annually.
 
 
 <ul>
 <li>
 Commission or incentives
 
 
 </li>
 </ul>
 Commissions or incentives to be agreed.
 
 
 Important notes: Commission is only payable if all KPI are achieved.
 
 
 <ul>
 <li>
 Typical Working Conditions
 
 
 </li>
 </ul>
 Normal Working Hours 40 hours a week
 
 
 Working Timing may include rotating shift.
 
 
 Work may require occasional weekend and/or evening work
</div>

Tele-sales Representative

Penny Software

Shape the Future of Procurement: Join the Penny Software Internship Program!At Penny Software, we are on a mission to simplify the way businesses manage their spending. Our cloud-based procurement software helps organizations digitize their purchasing process, making it more transparent, efficient, and data-driven. As a fast-growing tech company, we believe in empowering the next generation of talent to help us redefine the marketplace. We are looking for passionate, driven, and creative interns to join our team acrossSix key departments:<ul><li>Marketing &ndash; Help us build our brand presence and execute creative digital campaigns.</li><li>Graphic Design &ndash; Bring our product and vision to life through visual storytelling and UI/UX support.</li><li>Customer Success &ndash; Learn how we support our global clients and ensure they get the most out of Penny.</li><li>Human Resources &ndash; Dive into talent acquisition, company culture, and people operations.</li><li>Finance &ndash; Gain hands-on experience with financial reporting in a high-growth SaaS environment.</li><li>Sales &ndash; Master the craft of lead generation, pitching, and driving business growth.</li></ul>Why Intern With Penny?<ul><li>Direct Impact: Work on real-world problems in the FinTech/SaaS space.</li><li>Mentorship: Learn directly from industry experts and tech innovators.</li><li>Culture: Join a collaborative, forward-thinking team that values fresh ideas.</li><li>Growth: Develop the skills needed to succeed in the modern digital economy.</li></ul>Apply here:https://app.whitecarrot.io/careers/penny/job/2ac79787-4e1b-411b-bb94-ba84babe352eJob Type: Full-time

Internship Openings - (Six Departments)

Projects Access and Scaffolding

Job description:We are seeking a highly motivated and customer-focused Guest Service Agent to join the front office team at our prestigious 5-star resort in Bahrain. The ideal candidate will be the first point of contact for our guests, ensuring a seamless and memorable experience from check-in to check-out. If you thrive in a fast-paced luxury environment and meet the specific criteria below, we encourage you to apply.Key Requirements &amp; Qualifications<ul><li>Experience: A minimum of 3 years of proven experience as a Guest Service Agent or similar role within a luxury 4-star or 5-star resort or hotel environment.</li><li>Language Proficiency: Absolute fluency (written and spoken) in both Arabic and English is essential for interacting with our diverse guest base.</li><li>System Knowledge: Mandatory proficiency in Opera Property Management System (PMS) is required.</li><li>Work Schedule: Must be willing and able to work flexible shifts, including nights, weekends, and public holidays, as necessitated by a 24/7 resort operation.</li><li>Attributes: Exceptional communication, interpersonal, and problem-solving skills. A professional demeanor and a passion for providing world-class hospitality.</li></ul>What You Will Do<ul><li>Perform efficient check-ins and check-outs, handling guest folios and transactions accurately.</li><li>Answer all guest inquiries and provide detailed information about the resort's services, facilities, and local attractions.</li><li>Manage guest complaints and resolve issues promptly and courteously to ensure satisfaction.</li><li>Process reservations, cancellations, and room changes using the Opera PMS.</li><li>Maintain a high level of professionalism and guest confidentiality at all times.</li></ul>Apply Today! We look forward to reviewing your application and welcoming a new exceptional talent to our resort familyJob Type: Full-timeJob Type: Full-timePay: BD200.000 - BD250.000 per month

Guest Service Agent

Propel Consult

PositionSales Executive &ndash; Industrial/Commercial KitchenLocationBahrainRole PurposeThe Sales Executive is responsible for driving sales growth by developing strong client relationships, identifying business opportunities, and delivering tailored commercial kitchen solutions. The role involves managing the full sales cycle, from lead generation and tender preparation to contract negotiation and order execution, while ensuring high levels of customer satisfaction and profitability.KEY RESPONSIBILITIES, ACCOUNTABILITIES AND ACTIVITIESGeneral &middot; Develop and implement business plan to achieve sales, profitability and growth targets, for the division.&middot; Build strong, long-lasting relationships with clients, understand their needs, manage expectations, and provide excellent customer service.&middot; Conduct market research, analyze trends, and possess deep technical knowledge of kitchen appliances and equipment.&middot; Prepare detailed sales tenders, quotations, and negotiate contracts.&middot; To provide customers with effective value engineered options.&middot; Ensure that an accurate recording system is maintained on all proposal submitted to customers.&middot; Attending and representing the Company in site meetings.&middot; Establish contacts and relationship with clients, consultants, designer and project managers; good negotiation skills.&middot; Be involved in Sales Orders, Scheduling, Documentation and stocks.&middot; Having knowledge of Commercial Lundry, will be added advantage (preferred).&middot; Provide management with reports.BACKGROUND, QUALIFICATIONS &amp; EXPERIENCEQualifications&middot; Bachelor&rsquo;s degree in Business Administration, Sales &amp; Marketing, Mechanical/Industrial Engineering, or a related field.&middot; 5&ndash;7 years of experience in sales management or sales roles within industrial/commercial kitchens or related industries.&middot; Proven track record in B2B project-based sales.Skills&middot; Strong communication skills, with having a friendly and engaging personality.&middot; Familiarity with MS Excel and potentially CAD for designs.&middot; Ability to read and interpret drawings.Job Type: Full-time

Sales Executive - Industrial/Commercial Kitchen

Explore 126+ Lead generation agent in Bahrain this January. Find roles across top companies and apply now to boost your career.