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NESL-IT (SMC PVT) LTD

Location: Onsite &mdash; Islamabad (I-10/3) Employment Type: Full-time (6 pm to 2 am) We are seeking a skilled and highly motivated AI/ML Engineer with 4+ years of hands-on experience in designing, developing, deploying, and optimizing machine learning models and AI-driven solutions. The ideal candidate will have a strong background in ML algorithms, deep learning frameworks, data engineering, and model deployment in production environments.Key Responsibilities<ul><li>Design, develop, and deploy machine learning and deep learning models for real-world applications.</li><li>Build scalable data pipelines, preprocess datasets, and perform feature engineering.</li><li>Develop, fine-tune, and evaluate models using frameworks such as TensorFlow, PyTorch, Scikit-learn.</li><li>Work closely with data engineers, software engineers, and product teams to translate business needs into ML solutions.</li><li>Deploy and monitor models using MLOps tools (Docker, Kubernetes, MLflow, AWS/GCP/Azure services).</li><li>Conduct research on new algorithms, technologies, and tools to enhance model accuracy and performance.</li><li>Build REST APIs or microservices to integrate models into production systems.</li><li>Analyze model performance, optimize pipelines, and troubleshoot issues in production.</li><li>Create thorough technical documentation and communicate findings effectively.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, Software Engineering, or related field.</li><li>4+ years of experience in Machine Learning, Artificial Intelligence, or Data Science.</li><li>Strong understanding of ML concepts: supervised/unsupervised learning, NLP, computer vision, time-series, etc.</li><li>Hands-on experience with Python, including NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch.</li><li>Experience with MLOps, CI/CD pipelines, and cloud platforms (AWS/GCP/Azure).</li><li>Solid understanding of data preprocessing, model evaluation, tuning, and validation techniques.</li><li>Strong problem-solving skills and the ability to work independently in a fast-paced environment.</li><li>Experience with large language models (LLMs) and prompt engineering is a plus.</li><li>Knowledge of big data tools (Spark, Hadoop) is a plus.</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs200,000.00 per monthExperience:<ul><li>B2B Sales: 5 years (Required)</li></ul>Work Location: In person

AI/ML Engineer

Value Engineering

Position: AI/ML EngineerLocation: On-siteEmployment Type: Full-timeAbout the RoleWe are seeking a highly skilled and motivated AI/ML Engineer to join our team. The ideal candidate will have a strong foundation in machine learning, deep learning, and data engineering, with the ability to design, build, and deploy AI solutions that solve complex real-world problems. You will collaborate closely with software engineers, data scientists, and product managers to integrate AI models into production systems and continuously improve their performance.Key Responsibilities<ul><li>Model Development &amp; Research</li><li>Design, train, and fine-tune machine learning and deep learning models for tasks such as classification, regression, NLP, computer vision, and generative AI.</li><li>Research and evaluate emerging AI/ML frameworks, architectures, and techniques to keep our systems cutting-edge.</li><li>Data Engineering</li><li>Collect, preprocess, clean, and transform structured and unstructured datasets (text, images, audio, PDFs, etc.).</li><li>Implement feature engineering, dimensionality reduction, and data augmentation techniques.</li><li>Deployment &amp; Scaling</li><li>Package and deploy models into production environments (e.g., using FastAPI, Flask, TensorFlow Serving, TorchServe, or Kubernetes).</li><li>Ensure scalability, performance, and security of deployed AI solutions.</li><li>MLOps &amp; Automation</li><li>Implement CI/CD pipelines for ML workflows (training, testing, deployment).</li><li>Use tools like MLflow, DVC, Airflow, or Kubeflow to manage experiments, track models, and orchestrate workflows.</li><li>Collaboration</li><li>Work with cross-functional teams to understand requirements and deliver AI-driven solutions.</li><li>Document designs, processes, and results for both technical and non-technical stakeholders.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field. (PhD is a plus.)</li><li>Solid programming skills in Python (experience with libraries like TensorFlow, PyTorch, Scikit-learn, Hugging Face).</li><li>Strong understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and statistical modeling.</li><li>Proficiency in handling large datasets, SQL/NoSQL databases, and data pipelines.</li><li>Experience with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).</li><li>Knowledge of version control (Git) and collaboration tools (Bitbucket, GitHub, GitLab).</li></ul>Preferred Skills<ul><li>Experience in NLP (transformers, LLM fine-tuning), Computer Vision, or Generative AI.</li><li>Familiarity with vector databases (Pinecone, Weaviate, pgvector, Chroma) for RAG pipelines.</li><li>Understanding of MLOps best practices (CI/CD for ML, model monitoring, drift detection).</li><li>Strong mathematical foundation (linear algebra, probability, optimization).</li><li>Prior experience in deploying end-to-end AI applications in real-world scenarios.</li></ul>Soft Skills<ul><li>Strong problem-solving and analytical mindset.</li><li>Ability to work independently and in a collaborative environment.</li><li>Excellent communication skills to explain complex AI/ML concepts to non-technical teams.</li></ul>Job Type: Full-timePay: Rs400,000.00 - Rs600,000.00 per monthApplication Question(s):<ul><li>Are you comfortable commuting to bahria phase 4 Rawalpindi on daily basis?</li></ul>Work Location: In person

Lead AI/ML Engineer

Telenor

<div>Position Title: Senior AI Engineer
Reporting to: Director Automation Hub
Job Group: 2/3
Location: Islamabad
Division: Telenor Shared Services Pakistan
Department: Automation Hub
Unit: Finance &amp; Procurement Tribe
About Telenor Shared Services Pakistan
Telenor Shared Services Pakistan delivers transactional business services in the areas of Finance &amp; Accounting and IT. Together with Telenor Shared Services Norway it delivers efficient business support to Telenor employees to make their work easier.
Position Related
We are seeking a Senior AI Engineer with strong expertise in designing, building, and deploying secure and scalable AI solutions within enterprise environments. This role requires a unique blend of technical depth, business understanding, and the ability to translate complex AI concepts into practical, value-driven outcomes.
The ideal candidate will have a strong background in AI engineering, experience with LLMs and RAG architecture, AI Ops and the ability to collaborate across teams to deliver high-impact AI solutions.
Goals
Key Responsibilities<ul><li>
Design and deploy enterprise-scale LLM and AI solutions for NLP/ML, conversational AI, automation and agentic workflows.</li><li>
Build and optimize RAG pipelines using enterprise data sources with security and compliance as core principles.</li><li>
Develop and manage distributed training, fine-tuning, and inference systems optimized for large-scale workloads on cloud environments.</li><li>
Integrate AI models into enterprise workflows, APIs, microservices, and cloud platforms.</li><li>
Implement AIOps best practices for continuous integration, deployment, monitoring, governance, and lifecycle management of AI models.</li><li>
Ensure responsible AI usage, including explainability, bias mitigation, security, and auditability.</li></ul><ul><li>
Work closely with cross functional/technical teams to align AI solutions with business priorities,</li><li>
Translate functional requirements and communicate complex AI concepts clearly to technical and non-technical stakeholders.</li></ul>
Note: Above goals and job descriptions are indicative and subject to change
Experience &amp; Qualification<ul><li>
Bachelor&rsquo;s or master&rsquo;s in computer science, Software Engineering, AI/ML, Data Science, or a related field.</li><li>
7+ years of experience in AI/ML engineering or software engineering.</li><li>
At least 2&ndash;3 years of experience with LLM-based AI solutions in enterprise environments.</li><li>
Demonstrated ability to manage end-to-end delivery, including requirement gathering, solution design, implementation, and stakeholder communication.</li></ul>
Required Technical Skills<ul><li>
Strong proficiency in Python, clean architecture, and production-grade API development.</li><li>
Deep experience with LLM frameworks and tooling such as LangChain, LangGraph, LlamaIndex, or similar orchestration and agent frameworks.</li><li>
Experience with RAG systems, vector databases, and similarity search technologies.</li><li>
Expertise in model optimization: parameter-efficient tuning, quantization, mixed-precision, distributed parallelism.</li><li>
Experience deploying and scaling AI inference using optimized serving frameworks.</li><li>
Experience building multi-agent systems using agent orchestration tools.</li></ul>
Functional &amp; Behavioral Skills<ul><li>
Service-minded, open-minded, culturally aware.</li><li>
Highly structured, focused, and able to prioritize effectively.</li><li>
Innovative, curious, and a strategic thinker.</li><li>
Strong analytical and problem-solving abilities.</li><li>
Team-oriented with the ability to foster collaboration and psychological safety.</li><li>
Adaptable, proactive and comfortable working under strict deadlines.</li></ul>
Potential Career Path<ul><li>
Progression to Senior Manager/ Director roles AI and Data positions.</li></ul></div>

Senior AI Engineer

Datamatics Technologies

<div>
 
 
 Job Description: Data Scientist (MLOps, CI/CD, Generative AI)&nbsp;
 
 Experience : 4 to 6 Years
 
 Location: Isb / Hybrid
 
 
 
 About the Role&nbsp;
 
 
 We are seeking a Full Stack Data Scientist with strong expertise in MLOps, CI/CD, and Generative AI to join our growing AI/ML team. This role is highly dynamic and requires a balance of technical excellence, customer-facing skills, and business acumen.&nbsp;
 
 
 You will be responsible for the end-to-end machine learning lifecycle&mdash;from data exploration and model development to deployment and optimization. A key part of the role is engaging with customers, understanding their business challenges, and delivering impactful Proof of Concepts (POCs) that build trust and demonstrate value.&nbsp;
 
 
 Candidates with hands-on expertise in statistical models, traditional ML, deep learning architectures, time series forecasting, and financial modeling will be strongly preferred.&nbsp;
 
 
 Experience with GPUs, CUDA, and high-performance computing is a plus, given the scale and complexity of deep learning and Generative AI workloads.&nbsp;
 
 
 Key Responsibilities&nbsp;
 
 <ul>
 <li>
 
 Engage directly with customers to understand business problems and translate them into data science solutions.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Design and deliver impactful projects that clearly demonstrate value and help win new business opportunities.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Build and deploy end-to-end ML/AI solutions across domains such as NLP, Computer Vision, Generative AI, and Forecasting.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Develop and optimize MLOps pipelines for model training, deployment, and monitoring with CI/CD best practices.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Implement statistical, traditional ML, and deep learning models, ensuring accuracy, scalability, and robustness.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Create time series and financial forecasting models for predictive analytics in business and finance use cases.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Apply Generative AI methods (LLMs, RAG, LangChain, Hugging Face, Diffusion Models) to enterprise use cases.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Optimize training and inference with GPU acceleration and CUDA where applicable.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Ensure production-grade deployment with monitoring, drift detection, and retraining strategies.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Collaborate with product managers, engineers, and stakeholders to align technical solutions with business outcomes.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Stay updated with industry trends and bring innovative AI/ML solutions to customer engagements.&nbsp;
 
 </li>
 </ul>
 
 Required Qualifications&nbsp;
 
 <ul>
 <li>
 
 Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field.&nbsp;
 
 </li>
 </ul>
 
 
 <ul>
 <li>
 
 Experience: 3+ years of professional experience in end-to-end ML/AI solution delivery.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Technical Expertise:&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Statistical models (hypothesis testing, regression, time series analysis).&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Traditional ML (SVM, decision trees, ensemble methods, clustering, recommendation systems).&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Deep Learning (CNNs, RNNs, LSTMs/GRUs, Transformers, GANs, Diffusion Models).&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Time Series &amp; Financial Models (ARIMA, Prophet, advanced LSTM/GRU models, risk prediction).&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Generative AI (LLMs, RAG, LangChain, Hugging Face Transformers, OpenAI APIs).&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Proficiency in Python (NumPy, Pandas, Scikit-learn, Statsmodels, TensorFlow, PyTorch).&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Hands-on experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI).&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Strong knowledge of CI/CD workflows (GitHub Actions, GitLab CI, Jenkins, Azure DevOps).&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience with cloud platforms (AWS, Azure, GCP) for ML deployment and scaling.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Strong understanding of Docker, Kubernetes, and production deployment.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Excellent communication and presentation skills to face customers confidently.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Proven ability to translate customer requirements into POCs and production solutions..&nbsp;
 
 </li>
 </ul>
 
 Preferred/Bonus Skills&nbsp;
 
 <ul>
 <li>
 
 Experience with GPUs, CUDA, and high-performance model training.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Familiarity with real-time inference frameworks (TensorRT, Triton, TorchServe, FastAPI).&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Knowledge of feature stores (Feast, Tecton) and monitoring tools (Evidently, WhyLabs, Prometheus, Grafana).&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Exposure to financial services, supply chain, or enterprise AI domains.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Track record of winning client trust through successful POCs and solution delivery.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Contributions to open-source ML/AI projects.&nbsp;
 
 </li>
 </ul>
</div>

Data Scientist

Datamatics Global Services Ltd

<div>Job Description: Data Scientist (MLOps, CI/CD, Generative AI) 
Experience : 4 to 6 Years 
Location: Isb / Hybrid 
 
About the Role
We are seeking a Full Stack Data Scientist with strong expertise in MLOps, CI/CD, and Generative AI to join our growing AI/ML team. This role is highly dynamic and requires a balance of technical excellence, customer-facing skills, and business acumen.
You will be responsible for the end-to-end machine learning lifecycle&mdash;from data exploration and model development to deployment and optimization. A key part of the role is engaging with customers, understanding their business challenges, and delivering impactful Proof of Concepts (POCs) that build trust and demonstrate value.
Candidates with hands-on expertise in statistical models, traditional ML, deep learning architectures, time series forecasting, and financial modeling will be strongly preferred.
Experience with GPUs, CUDA, and high-performance computing is a plus, given the scale and complexity of deep learning and Generative AI workloads.
Key Responsibilities<ul><li>
Engage directly with customers to understand business problems and translate them into data science solutions.</li><li>
Design and deliver impactful projects that clearly demonstrate value and help win new business opportunities.</li><li>
Build and deploy end-to-end ML/AI solutions across domains such as NLP, Computer Vision, Generative AI, and Forecasting.</li><li>
Develop and optimize MLOps pipelines for model training, deployment, and monitoring with CI/CD best practices.</li><li>
Implement statistical, traditional ML, and deep learning models, ensuring accuracy, scalability, and robustness.</li><li>
Create time series and financial forecasting models for predictive analytics in business and finance use cases.</li><li>
Apply Generative AI methods (LLMs, RAG, LangChain, Hugging Face, Diffusion Models) to enterprise use cases.</li><li>
Optimize training and inference with GPU acceleration and CUDA where applicable.</li><li>
Ensure production-grade deployment with monitoring, drift detection, and retraining strategies.</li><li>
Collaborate with product managers, engineers, and stakeholders to align technical solutions with business outcomes.</li><li>
Stay updated with industry trends and bring innovative AI/ML solutions to customer engagements.</li></ul>
Required Qualifications<ul><li>
Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field.</li></ul><ul><li>
Experience: 3+ years of professional experience in end-to-end ML/AI solution delivery.</li><li>
Technical Expertise:</li><li>
Statistical models (hypothesis testing, regression, time series analysis).</li><li>
Traditional ML (SVM, decision trees, ensemble methods, clustering, recommendation systems).</li><li>
Deep Learning (CNNs, RNNs, LSTMs/GRUs, Transformers, GANs, Diffusion Models).</li><li>
Time Series &amp; Financial Models (ARIMA, Prophet, advanced LSTM/GRU models, risk prediction).</li><li>
Generative AI (LLMs, RAG, LangChain, Hugging Face Transformers, OpenAI APIs).</li><li>
Proficiency in Python (NumPy, Pandas, Scikit-learn, Statsmodels, TensorFlow, PyTorch).</li><li>
Hands-on experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI).</li><li>
Strong knowledge of CI/CD workflows (GitHub Actions, GitLab CI, Jenkins, Azure DevOps).</li><li>
Experience with cloud platforms (AWS, Azure, GCP) for ML deployment and scaling.</li><li>
Strong understanding of Docker, Kubernetes, and production deployment.</li><li>
Excellent communication and presentation skills to face customers confidently.</li><li>
Proven ability to translate customer requirements into POCs and production solutions..</li></ul>
Preferred/Bonus Skills<ul><li>
Experience with GPUs, CUDA, and high-performance model training.</li><li>
Familiarity with real-time inference frameworks (TensorRT, Triton, TorchServe, FastAPI).</li><li>
Knowledge of feature stores (Feast, Tecton) and monitoring tools (Evidently, WhyLabs, Prometheus, Grafana).</li><li>
Exposure to financial services, supply chain, or enterprise AI domains.</li><li>
Track record of winning client trust through successful POCs and solution delivery.</li><li>
Contributions to open-source ML/AI projects.</li></ul>
muKNVCbdCc</div>

NorthBay Solutions

<div><h3 class="jobSectionHeader">Job Title: Data Scientist</h3>
Location: Islamabad<h4 class="jobSectionHeader">
Job Type: Full-time, (Hybrid)</h4><h3 class="jobSectionHeader">
Job Description:</h3>
NorthBay is seeking a skilled Data Scientist with 4+ years of professional experience to join our team. The ideal candidate will have hands-on experience in data processing, visualization, and structuring, along with practical exposure to Large Language Models (LLMs) and agentic AI systems. You will work on designing intelligent data workflows, integrating AI models, and developing predictive analytics to support business decision-making. Strong analytical, problem-solving, and communication skills are essential, as the role involves close collaboration with cross-functional stakeholders.<h2 class="jobSectionHeader">
Key Responsibilities:</h2><ul><li>
Design, implement, and optimize LLM-powered features and agentic AI workflows.</li><li>
Develop and maintain data pipelines for extracting, structuring, and processing large datasets.</li><li>
Integrate LLMs (e.g., GPT, Claude, Gemini, Llama) into data workflows to enhance automation and insight generation.</li><li>
Collaborate with technical and business teams to identify opportunities for LLM and agentic AI adoption in operational processes.</li><li>
Build Python-based tools and scripts for data manipulation, visualization, and decision automation.</li><li>
Utilize relational databases (SQL Server, MySQL, etc.) for data extraction and analysis.</li><li>
Research and evaluate modern open-source and proprietary AI/ML models to support project requirements.</li><li>
Implement monitoring and automated data validation processes to ensure quality and scalability.</li><li>
Contribute to GenAI initiatives and experimentation with emerging AI frameworks.</li></ul><h2 class="jobSectionHeader">
Requirements:</h2><ul><li>
4+ years of professional experience in data science, data engineering, or AI-focused roles.</li><li>
2+ years of hands-on experience working with LLMs (GPT, Claude, Gemini, Llama, etc.) and agentic AI systems.</li><li>
1+ year of experience working with relational databases (SQL Server, MySQL, PostgreSQL, etc.).</li><li>
Strong proficiency in Python for data manipulation, automation, API integration, and prompt engineering.</li><li>
Experience with data structuring, cleaning, processing, and visualization tools.</li><li>
Experience building and deploying data-driven or AI-assisted solutions.</li><li>
Good-to-have: Exposure to .NET for application integration or workflow development.</li><li>
Strong communication skills with the ability to translate technical findings into actionable business insights.</li></ul> 
If you meet the above qualifications and are excited to work on innovative AI-driven data solutions, we encourage you to apply and join our team!
O43qpeEkSs</div>

NorthBay - Pakistan

<div>
 Job Title: Data Scientist
 
 
 Location: Islamabad
 
 
 Job Type: Full-time, (Hybrid)
 
 
 
 Job Description
 
 
 
 NorthBay is seeking a skilled Data Scientist with 4+ years of professional experience to join our team. The ideal candidate will have hands-on experience in data processing, visualization, and structuring, along with practical exposure to Large Language Models (LLMs) and agentic AI systems. You will work on designing intelligent data workflows, integrating AI models, and developing predictive analytics to support business decision-making. Strong analytical, problem-solving, and communication skills are essential, as the role involves close collaboration with cross-functional stakeholders.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and optimize LLM-powered features and agentic AI workflows.
 </li>
 <li>
 Develop and maintain data pipelines for extracting, structuring, and processing large datasets.
 </li>
 <li>
 Integrate LLMs (e.g., GPT, Claude, Gemini, Llama) into data workflows to enhance automation and insight generation.
 </li>
 <li>
 Collaborate with technical and business teams to identify opportunities for LLM and agentic AI adoption in operational processes.
 </li>
 <li>
 Build Python-based tools and scripts for data manipulation, visualization, and decision automation.
 </li>
 <li>
 Utilize relational databases (SQL Server, MySQL, etc.) for data extraction and analysis.
 </li>
 <li>
 Research and evaluate modern open-source and proprietary AI/ML models to support project requirements.
 </li>
 <li>
 Implement monitoring and automated data validation processes to ensure quality and scalability.
 </li>
 <li>
 Contribute to GenAI initiatives and experimentation with emerging AI frameworks.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 4+ years of professional experience in data science, data engineering, or AI-focused roles.
 </li>
 <li>
 2+ years of hands-on experience working with LLMs (GPT, Claude, Gemini, Llama, etc.) and agentic AI systems.
 </li>
 <li>
 1+ year of experience working with relational databases (SQL Server, MySQL, PostgreSQL, etc.).
 </li>
 <li>
 Strong proficiency in Python for data manipulation, automation, API integration, and prompt engineering.
 </li>
 <li>
 Experience with data structuring, cleaning, processing, and visualization tools.
 </li>
 <li>
 Experience building and deploying data-driven or AI-assisted solutions.
 </li>
 <li>
 Good-to-have: Exposure to .NET for application integration or workflow development.
 </li>
 <li>
 Strong communication skills with the ability to translate technical findings into actionable business insights.
 
 
 </li>
 </ul>
 If you meet the above qualifications and are excited to work on innovative AI-driven data solutions, we encourage you to apply and join our team!
</div>

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274 ai ml engineer jobs IN Islamabad

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