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ai/ml 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

NETSOL Technologies Inc.

<div>
 
 
 About the Role:
 
 
 
 NETSOL is seeking an experienced and dynamic Machine Learning (ML) and Artificial Intelligence (AI) professional to join us as a trainer to deliver the courses on AI/ML. The ideal candidate is an active industry practitioner with hands-on experience in ML/AI development and a passion for teaching and mentoring aspiring professionals. This role is perfect for individuals who wish to share their expertise and shape the next generation of ML/AI developers.
 
 
 
 Key Responsibilities:
 
 
 <ol>
 <li>
 
 Course Delivery:
 
 </li>
 </ol>
 <ul>
 <li>
 Design and deliver engaging, hands-on sessions on ML and AI concepts, frameworks, and tools.
 </li>
 <li>
 Conduct both theoretical and practical lessons, focusing on real-world applications.
 </li>
 <li>
 Lead interactive workshops, case studies, and project-based learning activities.
 </li>
 </ul>
 <ol>
 <li>
 
 Curriculum Development:
 
 </li>
 </ol>
 <ul>
 <li>
 Collaborate with the NETSOL team to refine and develop the course syllabus, ensuring alignment with industry trends.
 </li>
 <li>
 Incorporate the latest tools, frameworks, and methodologies used in the ML/AI domain.
 </li>
 <li>
 Continuously update course material to reflect emerging AI technologies and techniques.
 </li>
 </ul>
 <ol>
 <li>
 
 Mentorship and Guidance:
 
 </li>
 </ol>
 <ul>
 <li>
 Guide students in developing AI/ML projects and building portfolios that showcase their skills.
 </li>
 <li>
 Provide constructive feedback to help learners improve their understanding and application of ML/AI concepts.
 </li>
 <li>
 Act as a mentor, fostering a collaborative learning environment.
 </li>
 </ul>
 <ol>
 <li>
 
 Industry Insights:
 
 </li>
 </ol>
 <ul>
 <li>
 Share real-world insights, case studies, and personal experiences from the industry to enrich learning.
 </li>
 <li>
 Introduce students to best practices, ethical considerations, and emerging trends in ML/AI development.
 </li>
 <li>
 Organize guest speaker sessions with AI/ML industry leaders (optional).
 </li>
 </ul>
 <ol>
 <li>
 
 Evaluation and Assessment:
 
 </li>
 </ol>
 <ul>
 <li>
 Develop assessments, quizzes, and projects to evaluate students' progress.
 </li>
 <li>
 Provide timely feedback and suggest areas for improvement.
 </li>
 <li>
 Track learner performance and adapt training approaches based on class dynamics.
 </li>
 </ul>
 <ol>
 <li>
 
 Requirements:
 
 </li>
 </ol>
 <ul>
 <li>
 
 Bachelor&rsquo;s degree
 
 in Computer Science, IT, Software Engineering, Electrical/Electronic Engineering, AI, or a related field, with
 
 at least 3 years of experience
 
 .
 </li>
 <li>
 Experience in
 
 machine learning, deep learning, natural language processing
 
 , or
 
 proven industry
 
 experience in AI applications
 
 .
 
 </li>
 <li>
 Excellent communication and presentation skills.
 </li>
 <li>
 Previous experience in conducting technical training, workshops, or mentoring. Will be a plus
 </li>
 </ul>
 
 
 
 <ol>
 <li>
 
 Preferred (Optional):
 
 </li>
 </ol>
 <ul>
 <li>
 Relevant certifications (e.g., Google Professional Machine Learning Engineer, AWS ML Specialty).
 </li>
 <li>
 Familiarity with
 
 SFIA
 
 (Skills Framework for the Information Age) and its application in AI/ML skills mapping and development.
 </li>
 <li>
 Experience working with AI startup environments or leading AI-based projects.
 </li>
 </ul>
 <ol>
 <li>
 
 What We Offer:
 
 </li>
 </ol>
 <ul>
 <li>
 Opportunity to shape the next generation of AI talent.
 </li>
 <li>
 Collaborative work environment with access to the latest AI tools and resources.
 </li>
 <li>
 A chance to contribute to NETSOL&rsquo;s growing AI institute (NIAI) and build your reputation as a thought leader.
 </li>
 </ul>
 
 
</div>

AI/ML Trainer

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

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

CodeNinja Inc.

<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 skilled
 
 Data Engineer
 
 with 3+ years of experience to design and build robust, scalable data pipelines supporting financial machine learning forecasting models.
 
 
 You will be responsible for ingesting, cleaning, validating, and structuring complex multi-source financial datasets to enable high-quality time-series model training and analytics.
 
 
 This role requires strong technical expertise in ETL/ELT pipelines, financial data processing, and data quality assurance within secure corporate environments.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain automated ETL/ELT pipelines from CSV/Excel exports within secure enterprise environments.
 </li>
 <li>
 Perform data cleaning, normalization, validation, and integrity checks on financial transaction datasets.
 </li>
 <li>
 Execute entity mapping, currency standardization, and data synthesis across multiple legal entities and G/L accounts.
 </li>
 <li>
 Build exploratory data analysis (EDA) pipelines, including statistical analysis of financial flow patterns and seasonality.
 </li>
 <li>
 Develop feature stores with pre-computed lag and rolling statistics for ML forecasting consumption.
 </li>
 <li>
 Ensure high data quality through validation frameworks and automated integrity checks.
 </li>
 <li>
 Document data pipelines, quality reports, and technical handoff materials for ML Engineering teams.
 </li>
 <li>
 Collaborate closely with ML engineers, domain subject matter experts, and stakeholders
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of hands-on experience building production-grade data engineering pipelines.
 </li>
 <li>
 Strong Python expertise (Pandas, NumPy) and SQL proficiency.
 </li>
 <li>
 Experience using Jupyter notebooks for EDA and reporting.
 </li>
 <li>
 Proven experience handling complex financial datasets (transactions, general ledger, settlements, multi-currency data).
 </li>
 <li>
 Strong knowledge of data validation frameworks and quality assurance methodologies.
 </li>
 <li>
 Experience parsing and processing large CSV/Excel datasets at scale.
 </li>
 <li>
 Familiarity with corporate network security protocols and access control environments.
 </li>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Financial domain experience (intercompany transactions, treasury operations).
 </li>
 <li>
 Experience preparing time-series datasets for ML forecasting models.
 </li>
 <li>
 Exposure to orchestration tools such as Airflow, Luigi, or Prefect.
 </li>
 <li>
 Experience working with cloud data platforms (AWS S3, GCP BigQuery, Azure Data Lake).
 
 
 </li>
 </ul>
 
 Why Join CodeNinja?
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI and financial forecasting solutions.
 </li>
 <li>
 Collaborate with high-performing engineers and AI specialists.
 </li>
 <li>
 Exposure to enterprise-grade secure environments and global clients.
 </li>
 <li>
 Opportunity to contribute to impactful, data-driven transformation initiatives.
 </li>
 <li>
 A culture that values ownership, growth, and continuous learning.
 </li>
 <li>
 Competitive compensation and career progression opportunities.
 
 
 </li>
 </ul>
 
 Equal Opportunity &amp; Disclaimer
 
 
 
 CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, gender, national origin, disability status, or any other characteristic protected by applicable laws.
 
 
 Only shortlisted candidates will be contacted. CodeNinja reserves the right to modify the job description based on business requirements.
 
 
 
 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) - includes spouse and parents (till age 80)
 </li>
 </ul>
</div>

Data Engineer

FiveRivers Technologies

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>02/16/2026
</div></div><div>Job Type
<div>Full time
</div></div><div>Industry
<div>IT Services
</div></div><div>City
<div>Lahore
</div></div><div>State/Province
<div>Punjab
</div></div><div>Country
<div>Pakistan
</div></div><div>Zip/Postal Code
<div>54000
</div></div></ul></div><div><h3 class="jobSectionHeader">Job Description</h3>
<div>FiveRivers Technologies is seeking passionate and driven AI/ML Interns to work alongside our AI team on cutting-edge Artificial Intelligence and Machine Learning projects across multiple industries. This internship provides comprehensive AI/ML training and hands-on exposure to modern real-world AI Engineering.<div></div> 
Responsibilities<ul><li> 
Assist the team in ongoing real-world AI/ML projects.</li><li> 
Undergo rigorous training related to different areas of AI/ML.</li></ul><h3 class="jobSectionHeader"> 
Requirements</h3><ul><li>
BS graduate or final year student in CS, SE, IT, EE, DS, AI or relevant field.</li><li> 
Good Python programming, problem solving and algorithm design skills.</li><li> 
Passion and aptitude for the Artificial Intelligence field.</li><li> 
Knowledge and experience related to Data Wrangling, Data Analysis and Data Visualization using Pandas, SQL, NumPy and Matplotlib.</li><li> 
Knowledge and experience of Machine Learning and Deep Learning using SciKit-Learn, PyTorch, TensorFlow and Huggingface.</li><li> 
Fundamental knowledge of Computer Vision and Natural Language Processing problems and techniques, with hands-on experience in at least one.</li><li> 
Experience in building Generative AI and LLM based applications.</li><li> 
Experience working on Agentic AI, RAG, Vector DBs and MCP using frameworks like LangChain, LangGraph and AutoGen, would be a plus.</li><li> 
Experience with AI Engineering and AI project deployment using tools like FastAPI and Docker, would be a plus.</li><li> 
Candidates with Final-Year Project, elective courses, online courses and personal projects related to AI and ML would be preferred.</li><li> 
Having exposure to the breadth of the AI field and staying up to date with the latest AI advancements.</li></ul><div> 
Location: Business Hub, DHA phase 8, Lahore</div></div></div></div>

AI/ML Intern_02

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

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