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EDGEC

Company DescriptionAt Edgec.io, we build intelligent digital solutions using Artificial Intelligence, Machine Learning, Cloud Computing, Cybersecurity, Data Analytics, and IoT. We aim to transform ideas into impactful technology products.Job Title: Fresher AI Engineer (Entry Level) Location: Lahore (On-site) Job Type: Full-TimeJob OverviewWe are looking for a motivated Fresher AI Engineer to join our team. This role is ideal for recent graduates who want to start their career in Artificial Intelligence and Machine Learning.You will work under senior engineers and gain hands-on experience in AI model development, NLP, and data processing.Responsibilities<ul><li>Assist in building basic AI/ML models</li><li>Perform data cleaning and preprocessing</li><li>Support NLP and pattern recognition tasks</li><li>Work with Python and AI libraries</li><li>Collaborate with development teams</li><li>Learn and implement AI concepts in real projects</li></ul>Requirements<ul><li>Bachelor&rsquo;s in Computer Science or related field</li><li>Basic understanding of AI/ML concepts</li><li>Knowledge of Python</li><li>Interest in NLP and Neural Networks</li><li>Strong learning mindset and teamwork skills</li></ul>Pay: Rs60,000.00 - Rs120,000.00 per monthEducation:<ul><li>Bachelor's (Preferred)</li></ul>Work Location: In person

AI/ML Engineer

CodeNinja

<div>About CodeNinja
CodeNinja is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations&mdash;combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.
Role Overview
We are seeking a Senior Data Scientist with 4+ years of experience to design, develop, and deploy advanced machine learning and forecasting solutions for high-impact business use cases. This role requires strong expertise in predictive analytics, time-series forecasting, statistical modeling, and the ability to translate complex business problems into scalable data-driven solutions.
You will play a key role in building robust, interpretable, and production-ready models that support forecasting, optimization, risk analysis, and strategic decision-making across multiple domains. 
Requirements 
 
Machine Learning &amp; Forecasting<ul><li>
Design, develop, and deploy machine learning models for forecasting, prediction, and optimization use cases.</li><li>
Build and evaluate time-series forecasting solutions using statistical and machine learning approaches.</li><li>
Perform feature engineering including lag variables, rolling statistics, trend decomposition, seasonality analysis, and exogenous variable integration.</li><li>
Develop and benchmark models using techniques such as ARIMA, SARIMA, Prophet, XGBoost, Random Forest, Gradient Boosting, and Neural Networks.</li><li>
Conduct model validation, backtesting, and performance monitoring using appropriate evaluation metrics.</li></ul>
Data Science &amp; Analytics<ul><li>
Analyze large and complex datasets to identify trends, anomalies, and business opportunities.</li><li>
Perform exploratory data analysis (EDA) and statistical investigations.</li><li>
Design experiments and evaluate model performance using sound statistical methodologies.</li><li>
Build business-focused insights and recommendations from analytical findings.</li></ul>
Production &amp; Deployment<ul><li>
Collaborate with engineering teams to deploy machine learning solutions into production environments.</li><li>
Build scalable data pipelines and automated workflows.</li><li>
Implement model monitoring, drift detection, retraining strategies, and version control.</li><li>
Develop dashboards and reporting solutions using tools such as Power BI, Tableau, or Streamlit.</li></ul>
Collaboration &amp; Leadership<ul><li>
Partner with business, product, and engineering stakeholders to define data-driven solutions.</li><li>
Communicate technical findings to both technical and non-technical audiences.</li><li>
Mentor junior team members and contribute to data science best practices.</li><li>
Participate in architecture discussions and support project delivery initiatives.</li></ul>
Requirements<ul><li>
4+ years of hands-on experience in Data Science, Machine Learning, or Predictive Analytics.</li><li>
Strong experience with time-series forecasting and predictive modeling.</li><li>
Proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn, and XGBoost.</li><li>
Experience with forecasting techniques such as ARIMA, SARIMA, Prophet, or similar methods.</li><li>
Strong understanding of statistics, hypothesis testing, feature engineering, and model evaluation.</li><li>
Experience with model validation, cross-validation, and performance metrics (MAPE, MAE, RMSE).</li><li>
Experience working with SQL and large-scale datasets.</li><li>
Familiarity with data pipelines, experimentation frameworks, and analytical environments such as Jupyter or Databricks.</li><li>
Strong communication skills with the ability to present technical insights to business stakeholders.</li><li>
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. 
</li></ul>
Preferred/Advance Skills<ul><li><ul><li>
Experience in multi-entity and multi-currency financial forecasting environments.
</li><li>Familiarity with cloud ML platforms (AWS SageMaker, Azure ML, GCP AI).
</li><li>Experience implementing CI/CD and MLOps frameworks.
</li><li>Exposure to probabilistic forecasting and Bayesian modeling approaches.
</li><li>Knowledge of financial regulations, treasury workflows, and corporate finance processes.</li></ul></li></ul>
Why Join Us<ul><li>
Work on high-impact financial forecasting problems that directly influence strategic decision-making.
</li><li>Lead cutting-edge machine learning initiatives in a mission-critical environment.
</li><li>Collaborate with cross-functional leadership across finance, risk, and engineering.
</li><li>Opportunity to architect scalable ML systems from research to enterprise production.
</li><li>Be part of a culture that values innovation, ownership, and technical excellence.
</li></ul>Equal Opportunity Statement
We are an equal opportunity employer and are committed to fostering an inclusive, diverse, and equitable workplace. We do not discriminate based on race, religion, gender, age, disability, nationality, marital status, or any other protected characteristic under applicable law. We encourage candidates from all backgrounds to apply. 
Benefits 
<ul><li>
Provident Fund</li><li>
Gym Membership
</li><li>Leaves as per the company policy
</li><li>Company-paid trips
</li><li>Easy Loan Facility for Employees
</li><li>Yearly increment
</li><li>Maternity Benefits (Leaves &amp; WFH)
</li><li>Health Insurance (Maternity covered) &ndash; includes spouse and parents (till age 80)</li></ul></div>

Data Scientist

CrecenTech

Overview: We are seeking a motivated and results-driven SaaS Business Development Specialist/Closer to join our dynamic sales team. The ideal candidate will play a pivotal role in nurturing leads, building client relationships, and closing deals for our suite of services. This role requires excellent communication skills, a customer-centric approach, and a strong ability to convert opportunities into long-term partnerships.Key Responsibilities:Lead Nurturing and Follow-Up<ul><li>Proactively engage with prospective clients via email, phone, and other communication channels.</li><li>Build and maintain a structured follow-up cadence to advance leads through the sales funnel.</li></ul>Consultative Selling<ul><li>Understand client needs, challenges, and goals to recommend tailored solutions.</li><li>Clearly communicate the value propositions of our services, including technical and business benefits.</li></ul>Closing Sales<ul><li>Negotiate pricing and terms to close deals while ensuring client satisfaction.</li><li>Consistently meet and exceed monthly sales targets and KPIs.</li></ul>Collaboration with Teams<ul><li>Coordinate with internal teams (design, development, marketing, AI/ML) to align client needs with deliverable solutions.</li><li>Ensure seamless handoffs from sales to project implementation teams.</li></ul>CRM Management<ul><li>Maintain accurate and up-to-date records of all client interactions in the CRM system.</li><li>Track and report on sales activities, pipeline status, and conversion rates.</li></ul>Market Expertise<ul><li>Stay informed about industry trends, competitor offerings, and emerging technologies in SaaS, web development, marketing, and AI/ML.</li><li>Use industry insights to position the company as a trusted partner.</li></ul>Qualifications:Experience:<ul><li>Proven track record in sales, follow-up, and closing, preferably in SaaS, Web Design &amp; Development, Digital Marketing, or AI/ML sectors.</li><li>Experience with tools like GHL (GoHighLevel) or other CRM/SaaS platforms is a plus.</li></ul>Skills:<ul><li>Exceptional verbal and written communication skills, including proficiency in native Englishaccent.</li><li>Strong negotiation and relationship-building abilities.</li><li>Ability to grasp technical concepts and translate them into business solutions.</li></ul>Mindset:<ul><li>Results-oriented with a proactive and self-motivated approach.</li><li>Willingness to go the extra mile to refine lead generation or nurture processes as needed.</li><li>Comfortable with working extra hours occasionally to meet job requirements.</li><li>Thrives in a fast-paced, dynamic environment.</li></ul>Benefits:<ul><li>Performance-Based Bonuses</li><li>Handsome Commission Structure</li><li>Maternity/Paternity Allowance</li><li>Maternity Leaves</li><li>Wedding Allowance</li><li>Annual Leaves Encashment</li><li>Double salary on Gazetted Holidays</li><li>Special Allowance for Emergency</li><li>Advance Salary on Need Basis</li><li>12 Casual Leaves</li><li>10 Medical Leaves</li><li>10 Annual Leaves</li><li>Dedicated Training</li><li>Birthday celebrations</li><li>Gaming Facility</li><li>Growing &amp; Dynamic Team</li><li>Office Gatherings, Celebrations, and Trips</li><li>5 days a week (work-life balance)</li></ul>Job Location: Link Road, Model Town, Lahore Job Timings: 6:00 PM - 3:00 AM, 10:00 PM - 7:00 AM, 12:00 AM - 9:00 AMJob Type: Full-timeAbility to commute/relocate:<ul><li>Lahore: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>Are you comfortable working the night shift for this job?</li><li>What are your salary expectations from this job?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Business Development: 5 years (Required)</li></ul>Language:<ul><li>English (Required)</li></ul>Location:<ul><li>Lahore (Required)</li></ul>Willingness to travel:<ul><li>100% (Required)</li></ul>Work Location: In person

Senior Business Development Specialist

AutoScale Ventures

<div>Position: Software Developer 
Location: Remote (Pakistan) 
Job Type: Full-time 
Work Schedule: 9:00 AM&ndash;5:00 PM Pacific Standard Time, Monday&ndash;Friday (Overnight shift for Pakistan-based candidates) 
Salary: 400,000 PKR/month 
Role Overview
We are seeking a motivated and career-driven Software Developer with at least 3 years of professional experience to join our growing team. 
This role is ideal for a developer with strong experience in both front-end and back-end development, and who enjoys working on real-world, production-grade systems. You will help build and scale customer-facing websites and dashboards, internal tools and systems, as well as data-driven and infrastructure products connected to large-scale crawling, APIs, and infrastructure. 
Key Responsibilities<ul><li>
Develop and maintain robust back-end services using Python/Node</li><li>
Build and maintain front-end components using React</li><li>
Integrate with APIs, crawlers, and data ingestion pipelines</li><li>
Optimize front-end and back-end systems for performance, reliability, and maintainability</li><li>
Collaborate with cross-functional teams across time zones</li><li>
Support and improve live production systems with a focus on uptime and data accuracy</li><li>
Participate in code reviews, system design discussions, and feature planning</li><li>
Explore opportunities to integrate AI-driven features and data automation</li></ul>
Requirements<ul><li>
Minimum 3+ years of professional full-stack development experience</li><li>
Strong proficiency in React, including component design, state management, responsive layouts, and performance optimization</li><li>
Good understanding of UI/UX principles, including visual hierarchy, spacing, typography, accessibility, and user-centered design</li><li>
Experience with modern CSS frameworks (Tailwind, Sass, Styled Components, Material UI, Chakra UI, etc.)</li><li>
Back-end development skills using Python (Flask/FastAPI/Django) or Node.js (Express/NestJS) to build APIs, integrations, and support front-end features</li><li>
Strong proficiency in either Python or JavaScript</li><li>
Solid understanding of Linux environments, SQL databases (PostgreSQL/MySQL), and back-end system design</li><li>
Ability to collaborate closely with product managers, designers, and back-end engineers</li><li>
Ability to independently handle end-to-end features (UI, API integration, testing, deployment)</li><li>
Experience contributing to complex or large-scale systems</li><li>
Familiarity with web crawlers, scraping tools, or data ingestion pipelines</li></ul> 
Nice to Have (Plus Points)<ul><li>
Hands-on experience with enterprise-level or high-scale crawling systems</li><li>
Interest or prior work in AI/ML-driven solutions</li><li>
Solid foundation in statistics, mathematics, or machine learning</li><li>
Previous experience in startups or fast-paced technology companies</li><li>
Mentorship or leadership experience with junior developers</li><li>
Contributions to open-source or personal technical projects</li></ul> 
What You'll Work On (Early Projects May Include)<ul><li>
Building and improving front-end dashboards, websites, and platforms for data-heavy applications</li><li>
Developing systems connected to: Vehicle history &amp; market data (VinAudit.com), large-scale crawling &amp; scraping infrastructure, Data center and residential proxies (SquidProxies.com)</li><li>
Enhancing internal tools for: Data operations, Infrastructure monitoring, Market intelligence</li><li>
Collaborating with engineering and product teams to improve performance, reliability, and scalability</li><li>
Exploring AI/ML-powered features and private model integrations for internal and customer-facing products</li></ul> 
Benefits &amp; Perks<ul><li>
Fully Remote Work: Work from anywhere with reliable internet</li><li>
Healthcare Coverage for you and your family</li><li>
Paid Leave &amp; Holidays, with time to rest and recharge</li><li>
Equipment Funds Support to help set up or upgrade your home office</li><li>
Profit Sharing: Monthly and annual bonuses tied to performance</li><li>
Long-Term Career Growth in a stable and growing company</li><li>
Collaborative Culture with a global distributed team</li></ul> 
About Us
AutoScale Ventures is a technology-driven company with 50+ team members across the Philippines, Pakistan, India, the U.S., China, and Canada. We operate a group of businesses spanning tech, data services, infrastructure, and AI, with some of our main products and ventures around:<ul><li>
Vehicledata (VinAudit.com)</li><li>
Proxy infrastructure solutions (SquidProxies.com)</li></ul>
Only shortlisted candidates will be contacted. We look forward to meeting the right person for this role!</div>

Software Developer

<div>About the Company 
CodeNinja is a global technology and AI firm with 10+ years in the industry, helping enterprises modernize systems and embed AI into their workflows. We work across enterprise software, financial services, defense, health, logistics, and more, with 240+ clients across 15 countries. We partner with organizations to deliver AI infrastructure, dedicated engineering teams, and forward-deployed engineers who work directly inside client environments to own outcomes.
About the role
We are hiring an Senior AI QA Automation Engineer an experienced quality engineer who owns feature-level test strategy and automation for AI-enabled products. In this role, you will design and maintain automated tests and AI evaluation suites, integrate quality signals into CI/CD pipelines, and partner with Scrum teams to prevent defects and deliver reliable AI capabilities.
Key Responsibilities<ul><li>
Own test strategy and execution for assigned AI features across unit, API, UI, and end-to-end layers, aligned to Definition of Done and release criteria.
</li><li>Create and maintain automated AI evaluation suites (including golden datasets, scoring, and regression baselines) covering key user journeys and failure modes.
</li><li>Validate prompt, retrieval, and orchestration changes using repeatable test harnesses and defined acceptance thresholds.
</li><li>Build and extend automation frameworks, reusable utilities, and improve test stability, speed, and signal-to-noise.
</li><li>Integrate automated tests and AI evaluations into CI/CD, triage pipeline failures, and reduce flaky tests.
</li><li>Partner with engineers to improve testability (contracts, logging, observability) and drive shift-left quality practices.
</li><li>Analyze defects and AI output issues, perform root cause analysis, and implement regression coverage to prevent recurrence.
</li><li>Provide guidance to junior SDETs on automation, test design, and AI validation patterns; communicate quality risks to stakeholders.
</li><li>Support production readiness by validating guardrails, monitoring signals, and performance requirements for AI features.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s degree in Computer Science/Engineering (or equivalent practical experience).
</li><li>4+ years of experience in SDET / QA automation / quality engineering with strong hands-on automation and test design skills.
</li><li>Proficiency in at least one programming language (e.g., Python, C#, Java) and SQL, with the ability to debug services and tests.
</li><li>Experience building and maintaining automated tests (API/UI and/or data/ETL) and working in CI/CD pipelines.
</li><li>Experience testing AI-enabled systems or demonstrated applied AI fluency (prompt/RAG changes, evaluation basics, common failure modes).
</li><li>Experience working in Agile/Scrum teams and collaborating effectively with Engineering and Product.
</li><li>Preferred: Experience with LLM evaluation techniques (golden sets, rubric-based grading, automated scoring, review workflows).
</li><li>Preferred: Familiarity with AI safety and guardrail testing (grounding, PII handling, injection risks).
</li><li>Preferred: Experience with cloud tooling, containers, observability, and release automation.</li></ul>
Why Join Us<ul><li>
Build quality systems for real-world AI-enabled products, including LLM evaluations and reliability guardrails.
</li><li>Own feature-level quality end-to-end: from test strategy to CI/CD quality gates to production readiness.
</li><li>Work with strong cross-functional teams across Engineering, Product, and AI stakeholders in an Agile environment.
</li><li>Grow in modern quality engineering practices: observability, automation frameworks, shift-left testing, and AI evaluation patterns.</li></ul>
Disclaimer: CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, &amp; performance. Female and minorities are strongly encouraged and preferred to apply for the role 
Benefits 
<ul><li><ul><li>
Provident Fund (PF)</li></ul></li><li><ul><li>
Medical Insurance (Pakistan): Coverage includes spouse and parents up to the age of 80.</li><li>
Life Insurance</li></ul></li><li><ul><li>
Performance-Based Increment</li></ul></li><li><ul><li>
32 Paid Leaves (Annual)</li></ul></li><li><ul><li>
Easy Loan Facility</li></ul></li><li><ul><li>
Company-Sponsored Trips</li></ul></li><li><ul><li>
Gym Passport Membership (Access To 250+ Gyms)</li></ul></li></ul></div>

Senior AI QA Automation Engineer

HR Force International

Programmers Force is seeking an experienced legal and compliance leader to head our Legal &amp; Compliance function across our RegTech and FinTech product suite. This includes AML/KYB platforms, transaction monitoring, sanctions screening, and biometric/facial recognition technology.This is a senior leadership role partnering directly with executive management to manage regulatory risk, data protection, and commercial contracting across multiple jurisdictions including the US, UK, EU, MENA, and GCC.─────────────────────────────KEY RESPONSIBILITIES─────────────────────────────<ul><li>Lead legal and compliance assessments for KYB/AML platforms covering UBO identification, transaction monitoring, sanctions screening, regulatory reporting, and client due diligence.</li></ul><ul><li>Provide regulatory risk oversight for biometric/facial recognition products, including DPIAs, consent frameworks, and lawful processing under GDPR and CCPA.</li></ul><ul><li>Own DORA and MiCA compliance, including VASP AML/CFT, Travel Rule implementation, ICT risk management, incident notification, and business continuity planning.</li></ul><ul><li>Lead privacy governance: DPIAs, company-wide privacy policies, and data protection frameworks.</li></ul><ul><li>Draft, review, and negotiate commercial agreements including referral, reseller, MNDA, IP assignment, and enterprise SaaS contracts.</li></ul><ul><li>Design and implement third-party risk and vendor governance frameworks.</li></ul><ul><li>Manage IP strategy: trademark filings, patent application coordination, and copyright protection.</li></ul><ul><li>Drive ISO 27001 certification and SOC 2 readiness, including internal audits and control testing.</li></ul><ul><li>Manage and mentor a cross-functional legal and compliance team.</li></ul><ul><li>Liaise with regulators (central banks, financial services authorities) and convert regulatory requirements into operational controls.</li></ul>─────────────────────────────REQUIREMENTS─────────────────────────────<ul><li>LLB/LLM in Intellectual Property, Corporate, or Regulatory Law (preferred).</li></ul><ul><li>5+ years of experience in legal/compliance roles within RegTech, FinTech, or financial services.</li></ul><ul><li>Strong knowledge of AML/KYB, sanctions compliance, GDPR/CCPA, MiCA, DORA, and ISO 27001/SOC 2 frameworks.</li></ul><ul><li>Experience managing cross-border regulatory engagement across US, UK, EU, and MENA/GCC.</li></ul><ul><li>Demonstrated experience drafting and negotiating enterprise-level commercial agreements.</li></ul><ul><li>Strong leadership and team management skills.</li></ul>─────────────────────────────PREFERRED QUALIFICATIONS─────────────────────────────<ul><li>Bar admission or equivalent legal qualification in a relevant jurisdiction.</li></ul><ul><li>Experience with biometric data regulation and AI/ML compliance.</li></ul>Pay: Rs300,000.00 - Rs500,000.00 per monthWork Location: In person

Head of Legal & Compliance (RegTech/FinTech)

Force Cloud LLC

Position: Technical Recruiter Location: Johar Town, Lahore (Onsite) Working Hours: 2:00 PM &ndash; 11:00 PM Experience: 1.5 &ndash; 2 Years Employment Type: Full-TimeForce Cloudz is looking for a passionate and results-driven Technical Recruiter to join our growing team. The ideal candidate should have experience sourcing, screening, and hiring technical talent across various technologies while ensuring an excellent candidate experience throughout the recruitment process.What You'll Do<ul><li>Manage the end-to-end technical recruitment process</li><li>Source candidates through LinkedIn, job portals, social media, and other channels</li><li>Screen resumes and conduct initial candidate assessments</li><li>Schedule and coordinate interviews with hiring managers</li><li>Build and maintain a strong pipeline of technical talent</li><li>Create and post job advertisements on various recruitment platforms</li><li>Conduct reference and background checks when required</li><li>Maintain accurate recruitment records and reports</li><li>Collaborate with hiring managers to understand hiring needs and job requirements</li><li>Ensure a positive candidate experience throughout the hiring process</li></ul>What We're Looking For<ul><li>1.5 to 2 years of experience in Technical Recruitment</li><li>Experience hiring for Software Engineering, AI/ML, Data Science, Cloud, DevOps, and other technical roles</li><li>Strong sourcing skills using LinkedIn Recruiter, Sales Navigator, and job boards</li><li>Knowledge of Boolean Search techniques and talent mapping</li><li>Excellent communication and interpersonal skills</li><li>Ability to evaluate technical profiles and understand technology stacks</li><li>Strong organizational and time-management skills</li><li>Experience working with ATS (Applicant Tracking Systems) is a plus</li><li>Ability to work independently and meet hiring deadlines</li></ul>Preferred Qualifications<ul><li>Bachelor's degree in Human Resources, Business Administration, Computer Science, or a related field</li><li>Experience in IT or Software House recruitment</li><li>Familiarity with modern recruitment tools and hiring trends</li></ul>Why Join Us?<ul><li>Opportunity to work with cutting-edge technology teams</li><li>Professional growth and learning opportunities</li><li>Collaborative and supportive work environment</li><li>Competitive salary and performance-based incentives</li></ul>Who Should Apply<ul><li>Recruiters with 1.5 to 2 years of technical hiring experience</li><li>Professionals passionate about talent acquisition and technology recruitment</li><li>Individuals looking to grow their career in IT and Technical Recruitment</li></ul>To Apply: Send your resume to hr@forcecloudz.com with the subject line &quot;Technical Recruiter Application&quot;.Pay: From Rs100,000.00 per monthWork Location: In person

Technical Recuriter

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