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associate engineer Jobs in Lahore Pakistan

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ai engineer

Solvefy

Be a Part of Shaping the Future with AI!Are you passionate about creating intelligent systems powered by Artificial Intelligence and Machine Learning? We are seeking an AI Developer who can design, build, and deploy innovative AI-driven solutions using cutting-edge models, frameworks, and tools.In this role, you&rsquo;ll work with modern AI/ML models, data pipelines, and deployment platforms to deliver scalable applications. You&rsquo;ll also leverage advanced techniques such as large language models (LLMs), NLP, and AI-powered automation to transform business processes.Key Responsibilities<ul><li>AI Model Development: Design, train, and fine-tune machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost, LightGBM, or Hugging Face Transformers.</li><li>Data Preparation: Build and maintain efficient data pipelines for training and evaluation using AI/ML data tools (e.g., Scikit-learn preprocessing, Spark MLlib).</li><li>AI Solutions &amp; LLMs: Apply LLMs, NLP techniques, and prompt engineering to enhance automation, intelligent assistants, and decision-making systems.</li><li>Deployment &amp; MLOps: Deploy, monitor, and manage AI/ML models on cloud platforms (AWS SageMaker, Azure ML, GCP Vertex AI) following MLOps best practices.</li><li>System Architecture: Implement scalable AI solutions using containerization (Docker, Kubernetes) and micro services-based designs.</li><li>Collaboration: Work closely with data engineers, product managers, and developers to translate business needs into AI-driven solutions.</li><li>Performance Optimization: Evaluate and improve model accuracy, scalability, and efficiency in production environments.</li><li>Research &amp; Innovation: Stay updated with the latest in AI frameworks, LLM advancements, and emerging ML technologies to drive innovation.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related field.</li><li>2+ years of experience in AI engineering, machine learning, or applied data science roles.</li><li>Proficiency with AI/ML frameworks and libraries, including TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost, LightGBM, and Hugging Face Transformers.</li><li>Hands-on experience with AI model development, including exposure to large language models (LLMs), NLP, and other advanced ML applications.</li><li>Familiarity with data processing and big data technologies (e.g., Spark MLlib, Hadoop, MLflow, Kubeflow).</li><li>Experience working with cloud-based AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI) for model deployment and scaling.</li><li>Knowledge of MLOps practices and lifecycle management for production-grade AI systems.</li><li>Strong foundation in machine learning algorithms, optimization techniques, and statistical modeling.</li><li>Experience implementing scalable AI solutions using Docker, Kubernetes, and micro services-based architectures.</li><li>Strong problem-solving ability, a collaborative mindset, and excellent communication skills for both technical and non-technical stakeholders</li></ul>What We Offer:<ul><li>Competitive Salary: Market-competitive salary with performance-based incentives.</li><li>Comprehensive Benefits: Provident Fund, Medical Allowance, and Umrah Allowance.</li><li>Wellness Perks: Gym and refreshment allowances.</li><li>Team Building: Annual trips, bi-annual dinners, and team events.</li><li>Additional Perks: Annual bonus, leave encashment, and a flexible leave policy (Casual, Sick &amp; Annual Leaves).</li></ul>Experience Level: 2+ yearsLocation: Johar Town, LahoreEmployment Type: Full-Time (On-Site)Office Timings: 12 PM &ndash; 9 PMJob Type: Full-timeWork Location: In person

AI Engineer

AlphaGen Systems Inc

<div><div>AlphaGen Systems</div>
<div>Consulting, Information Technology, Software Development, Web Development</div>
<div><div><div>
Location
Lahore, Pakistan, (Hybrid)</div></div><div><div>
Type
Part-time</div></div><div><div>
Experience
Senior</div></div><div><div>
Application Deadline
Mar 9, 2026</div></div></div>
<div><div>
Salary is flexible</div></div><div> 
</div>
<div><div><div><div><h2 class="jobSectionHeader">Job Description</h2></div><div><div>
The Role
You'll serve as our transformation guide and mentor, working with our leadership and 2-3 internal champions to layer AI-augmented capabilities onto our existing Agile and SDLC practices. This is a teaching role, not a hands-on coding role.
Requirement: You'll need to understand our actual running projects&mdash;their architectures, technologies, team structures, and client constraints&mdash;then design a practical transformation plan that moves us from human-centric development to agentic engineering without disrupting delivery.
Technical Foundation (Required)<ul><li>
5+ years software development experience with production coding background</li><li>
2+ years actively using AI-assisted development tools (GitHub Copilot, Cursor, Claude, etc.)</li><li>
Hands-on experience designing and implementing agentic workflows (not just theory)</li><li>
Experience with multi-agent orchestration systems</li><li>
Strong grasp of both Agile methodologies and traditional SDLC</li><li>
Deep understanding of DevOps, CI/CD, and modern development practices</li><li>
Comfortable across multiple tech stacks (web, mobile, cloud)</li></ul>
Transformation Experience (Required)<ul><li>
Led AI adoption at 2+ organizations with measurable results</li><li>
Experience transforming active/running projects (not just greenfield implementations)</li><li>
Experience designing phased migration paths from human to agentic development</li><li>
Critical: Experience integrating agentic workflows into existing Agile/Scrum practices</li></ul>
Project Assessment Skills (Critical)<ul><li>
Ability to quickly analyze project portfolios and assess AI readiness</li><li>
Can design project-specific strategies (not one-size-fits-all approaches)</li></ul>
Communication &amp; Approach (Critical)<ul><li>
Can explain how agentic engineering augments (not replaces) human developers</li><li>
Writes clear documentation and playbooks</li><li>
Can present transformation plans to both technical teams and executive leadership</li></ul>
How We'll Measure Success
Quantitative:<ul><li>
Pilot project achieves 30%+ productivity improvement over baseline human development</li><li>
Clear metrics showing progression: human baseline AI-assisted AI-augmented agentic</li><li>
Sprint velocity increases measurably without sacrificing quality</li><li>
Code quality maintained or improved (test coverage, defect rates)</li><li>
At least 2-3 internal champions confident to lead agentic transformation independently</li><li>
Successful integration of agentic tools into existing Jira/GitHub workflows</li><li>
Documented cost/benefit analysis for transforming other running projects</li></ul>
Qualitative:<ul><li>
Clear transformation roadmap exists for our specific project portfolio</li><li>
Team understands how to evolve from human-centric to agentic workflows</li><li>
Leadership understands agentic capabilities and limitations</li><li>
Team can continue transformation of other projects without external help</li><li>
Agile ceremonies (planning, retros, reviews) effectively incorporate agentic capabilities</li></ul></div></div></div><div><div><div><h3 class="jobSectionHeader">
Skills &amp; Technologies</h3></div><div><div>
AI AdoptionAI AugmentationAgentic EngineeringAgileArtificial IntelligenceAutomationCICDClient ManagementCloud</div></div></div><div><div><h3 class="jobSectionHeader">
Requirements</h3></div><div><div><div><h4 class="jobSectionHeader">
Min Experience Required</h4>
5 years</div><div><h4 class="jobSectionHeader">
Education &amp; Certifications</h4><ul><li>
Bachelor's Degree</li></ul></div></div></div></div></div></div></div></div>

Senior AI Engineer

CLOFTECH (PRIVATE) LIMITED

AI/ML EngineerExperience: 2-3+ YearsLocation: Lahore, Pakistan (Hybrid/Remote)Type: Full-Time/Part TimeAbout the RoleWe're seeking an AI/ML Engineer to develop and deploy our Named Entity Recognition (NER) service and predictive analytics capabilities. You'll build ML models that automatically infer semantic meaning from data columns, enabling intelligent schema mapping and automated KPI suggestions.What You'll Do<ul><li>Develop and fine-tune NER models (BERT-based) for semantic column inference</li><li>Build and deploy ML models on Amazon SageMaker with real-time inference endpoints</li><li>Create training pipelines for continuous model improvement using customer data patterns</li><li>Implement confidence scoring and threshold logic for auto-mapping vs. human review</li><li>Develop predictive analytics models for customer KPIs (sales trends, utilization, forecasting)</li><li>Build LLM-powered chatbot capabilities for natural language data queries</li><li>Optimize model inference latency and implement batching strategies</li><li>Monitor model performance and implement A/B testing for model versions</li></ul>Requirements<ul><li>2-3+ years of experience in ML engineering or applied AI</li><li>Strong Python skills with ML frameworks (PyTorch, TensorFlow, or Hugging Face)</li><li>Experience with NLP tasks (NER, text classification, embeddings)</li><li>Hands-on experience deploying models to production (SageMaker, Docker, or similar)</li><li>Understanding of transformer architectures (BERT, GPT)</li><li>Experience with ML experiment tracking (MLflow, Weights &amp; Biases)</li><li>Familiarity with AWS ML services (SageMaker, Comprehend)</li><li>Strong understanding of ML ops practices and model monitoring</li></ul>Nice to Have<ul><li>Experience with LLMs and RAG (Retrieval Augmented Generation) architectures</li><li>Knowledge of vector databases (Pinecone, Weaviate, or pgvector)</li><li>Experience building conversational AI / chatbots</li><li>Background in data quality or schema matching problems</li></ul>Job Types: Full-time, Part-timePay: Rs250,000.00 - Rs350,000.00 per monthExpected hours: 20 &ndash; 40 per weekExperience:<ul><li>AI/ML: 2 years (Required)</li></ul>Work Location: In person

AI/ML Engineer

92Techno

We are seeking an experienced AI/GenAI Solution Architect to lead the design and delivery of enterprise-grade AI solutions.Responsibilities<ul><li>Engage with clients early to understand AI/GenAI/ML use cases and business requirements</li><li>Design proposed AI architectures and delivery approaches for opportunities</li><li>Provide effort estimates, assumptions, and implementation roadmaps for AI components</li><li>Lead end-to-end AI/GenAI solution architectures including data, models, integration, and deployment</li><li>Own scoped AI work packages delivered by the AI CoE within larger delivery projects</li><li>Ensure AI solutions are production-grade, secure, scalable, and maintainable</li><li>Collaborate with delivery teams for integration, handover, and deployment support</li><li>Establish reusable reference architectures, patterns, and best practices</li><li>Lead AI-enabled development initiatives across delivery teams</li><li>Standardize AI tools and workflows across the software development lifecycle (requirements, design, coding, testing, documentation)</li><li>Maintain awareness of emerging AI tools, models, and industry trends</li><li>Support internal incubation efforts and AI technology radar initiatives</li><li>Guide and mentor junior AI engineer and data analysts, providing technical direction, support, and feedback to elevate team expertise.</li></ul>Required Qualifications<ul><li>8+ years of experience in solution architecture, AI/ML engineering, or related roles</li><li>Strong understanding of AI/ML concepts, GenAI architectures, and modern model ecosystems</li><li>Experience designing AI solutions for enterprise clients, including integration into business applications</li><li>Hands-on familiarity with GenAI patterns such as RAG, agents, embeddings, and prompt engineering</li><li>Strong communication and stakeholder management skills, especially in client-facing settings</li><li>Ability to work across pre-sales, delivery, and engineering teams</li></ul>Preferred Skills<ul><li>Experience with cloud AI platforms (Azure AI, AWS SageMaker, GCP Vertex AI)</li><li>Familiarity with MLOps practices, evaluation frameworks, and deployment pipelines</li><li>Exposure to enterprise security, compliance, and responsible AI governance</li><li>Prior experience in consulting or client delivery environments</li></ul>Job Type: Full-timePay: Rs500,000.00 - Rs600,000.00 per monthWork Location: In person

AI Solution Architect

Xeven Solutions Pvt. Ltd

Role OverviewWe are looking for a proactive AI Backend Engineer with 1&ndash;2 years of experience to join our team. The ideal candidate is someone who lives at the intersection of FastAPI and LangChain, with a passion for building autonomous agents and sophisticated automation workflows.Key ResponsibilitiesAI Integration: Design and deploy production-ready LLM applications using LangChain and LangGraph.Backend Development: Request lifecycle, async concepts, middleware, authentication, caching basics, background tasks/queues (nice to have), performance considerations.Agentic Workflows: Develop and orchestrate AI Agents capable of multi-step reasoning and tool use.Automation: Create complex, self-healing automation pipelines using tools like n8n.Intelligent Scraping: Implement AI-powered web scraping tools (e.g., Firecrawl, Crawl4AI, or custom LLM-based parsers) to gather and structure unstructured data.Data Management: Design and manage relational schemas in PostgreSQL or MySQL, ensuring data integrity for AI-driven features.Prompt Engineering: Prompt structuring, few-shot techniques, evaluation, prompt iteration, and guardrails.API design, authentication, logging, error handling, rate limiting, and monitoring.Technical RequirementsExperience: 1&ndash;2 years in a professional software development environment.Backend Mastery: Strong grasp of core backend concepts (RESTful APIs, Asyncio, Auth, Middleware) and database management.AI Stack: Hands-on experience with LLM orchestration (RAG pipelines, vector databases) and Agentic frameworks.Prompt Engineering: Proven ability to write &quot;system-level&quot; prompts that handle edge cases and maintain personas.Web Scraping: Proficiency in bypassing modern bot detection and using AI to extract structured data from chaotic web pages.Soft Skills &amp; LeadershipEffective Communicator: Able to explain why a certain model or prompt strategy was chosen to non-technical stakeholders.Self-Reliant &amp; Reliable: You take ownership of a feature from &quot;idea&quot; to &quot;deployment&quot; without constant hand-holding.Leadership Mindset: Even with 1&ndash;2 years of experience, you should be ready to mentor interns or lead specific AI initiatives within the team.Documentation: Ability to clearly document API endpoints and AI logic flow.Nice-to-Have SkillsExperience with Docker, CI/CD, or deploying services to cloud platforms (AWS/GCP/Azure).Observability experience: logging/metrics/tracing (e.g., OpenTelemetry, Prometheus, Grafana).Background job processing (Celery/RQ) or message queues (RabbitMQ/Kafka).Experience with vector databases (e.g., pgvector, Pinecone, Weaviate, etc.).Familiarity with frontend integration patterns for chat UIsJob Type: Full-timeWork Location: In person

Python Developer

Vaults Vision

Internship Positions:Digital Marketing Intern<ul><li>Assist in social media management, SEO, and content marketing</li><li>Create and manage paid advertising campaigns (Google Ads, Facebook, Instagram)</li><li>Analyze website traffic and campaign performance using Google Analytics</li><li>Research and implement the latest digital marketing trends</li></ul>Business Development Intern<ul><li>Conduct market research to identify new business opportunities</li><li>Assist in developing sales strategies and partnership opportunities</li><li>Generate leads and follow up with potential clients</li><li>Build strong customer relationships and brand awareness</li></ul>Sales Lead Closer (Full-time/Internship)<ul><li>Manage inbound and outbound sales calls</li><li>Develop sales pitches and proposals for potential clients</li><li>Close deals and help meet monthly sales targets</li><li>Track and maintain client data in CRM</li></ul>Web &amp; App Developer Intern<ul><li>Assist in front-end and back-end development for websites and mobile apps</li><li>Work with HTML, CSS, JavaScript, React, Node.js, and other frameworks</li><li>Help develop responsive, user-friendly, and high-performance web applications</li><li>Support UI/UX improvements and debugging</li></ul>AI Engineer Intern<ul><li>Work on AI-powered applications and machine learning models</li><li>Assist in data collection, preprocessing, and model training</li><li>Develop AI-based automation and analytical tools</li><li>Gain hands-on experience with Python, TensorFlow, PyTorch, and other AI frameworks</li></ul>Requirements:✔ Passion for learning and innovation ✔ Strong analytical and problem-solving skills ✔ Excellent communication and teamwork abilities ✔ Relevant coursework or experience in the chosen field ✔ Ability to work independently and meet deadlinesFor Whatsapp +1 6478005152www.vaultsvision.comJob Types: Full-time, Part-time, Temporary, Contract, Internship, Fresher Contract length: 6 monthsPay: Rs10,000.00 - Rs30,000.00 per monthWork Location: In person

Bahria Town & DHA Lahore Digital Marketing, Business, Sales, Web & App Development, AI Interns –

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 Machine Learning Engineer (Lead) with 5&ndash;6 years of experience to architect, develop, and lead advanced time-series forecasting solutions for high-impact financial use cases. This role requires deep technical expertise in machine learning, strong financial domain knowledge, and the ability to translate research-driven models into production-grade systems within mission-critical environments.
You will play a pivotal role in building robust, interpretable, and scalable forecasting models supporting financial risk management, FX exposure, treasury planning, and multi-entity forecasting.
Key Responsibilities1. Technical Leadership &amp; Model Development<ul><li>
Lead end-to-end development of time-series forecasting solutions &mdash; from data acquisition and feature engineering to deployment and monitoring.
</li><li>Architect scalable ML pipelines tailored for financial forecasting use cases.
</li><li>Develop and benchmark classical statistical models (ARIMA, SARIMA, ETS) alongside ML approaches (XGBoost, Gradient Boosting, Prophet, etc.).
</li><li>Design advanced time-series features including lag structures, rolling statistics, seasonal/trend decomposition, Fourier terms, regime indicators, and exogenous variable integration.
</li><li>Implement time-aware cross-validation strategies and Bayesian hyperparameter optimization.
</li><li>Conduct rigorous backtesting aligned with financial validation methodologies.
</li></ul>2. Financial Modeling &amp; Risk Analytics<ul><li>
Build forecasting models for:
</li><li><ul><li>FX exposure forecasting
</li><li>Treasury cash flow prediction
</li><li>Intercompany netting optimization
</li><li>Financial risk modeling
</li><li>Multi-currency and multi-entity forecasting
</li></ul></li><li>Quantify model uncertainty and incorporate confidence intervals for financial decision-making.
</li><li>Perform anomaly detection and outlier analysis in financial time-series datasets.
</li><li>Ensure models align with financial reporting cycles, treasury constraints, and accounting standards.
</li></ul>3. Production Deployment &amp; MLOps<ul><li>
Design reproducible ML workflows and production-ready pipelines.
</li><li>Implement model versioning, monitoring, drift detection, and automated retraining strategies.
</li><li>Collaborate with engineering teams to deploy solutions in cloud environments.
</li><li>Build business-facing dashboards (Streamlit, Tableau, Power BI).
</li><li>Ensure model governance, documentation, and auditability standards are maintained.
</li></ul>4. Collaboration &amp; Mentorship<ul><li>
Translate complex technical insights into actionable business narratives.
</li><li>Partner with Finance, Treasury, Risk, and Executive stakeholders.
</li><li>Mentor junior ML engineers and establish best practices in feature engineering, validation, and interpretability.
</li>Promote technical excellence and maintain high code quality standards. 
<li>
</li></ul> 
 
Requirements 
<ul><li>
5&ndash;6 years of hands-on ML engineering experience with strong expertise in time-series forecasting.
</li><li>Proven experience in financial domain use cases (FX forecasting, treasury operations, financial risk modeling, etc.).
</li><li>Deep understanding of time-series feature engineering (lags, rolling aggregates, decomposition, exogenous drivers).
</li><li>Experience with classical statistical forecasting models (ARIMA, SARIMA, Exponential Smoothing).
</li><li>Strong Python proficiency (pandas, NumPy, scikit-learn, XGBoost).
</li><li>Experience with Prophet or comparable forecasting frameworks.
</li><li>Expertise in:
</li><li><ul><li>Time-aware cross-validation
</li><li>Bayesian hyperparameter optimization
</li><li>Model interpretability techniques (SHAP, LIME)
</li></ul></li><li>Strong understanding of evaluation metrics (MAPE, MAE, RMSE) and statistical validation methods.
</li><li>Experience building data pipelines and working in research environments (e.g., Jupyter).
</li><li>Strong communication skills for both technical and finance stakeholders.
</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, or a related field.
</li></ul>Preferred / Advanced Skills<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>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>

Senior Machine Learning Engineer

Explore 205+ Ai engineer in Lahore Pakistan this March. Find roles across top companies and apply now to boost your career.