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digital marketing specialist

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business development specialist Jobs in Islamabad

business development specialist

senior ai/ml engineer

artificial intelligence specialist

Eurus Technologies 

Positions: 4Job Type: Full Time (On-Site)Location: IslamabadWe are seeking an innovative and experienced AI/ML Engineer to design, develop, and deploy AI/ML solutions that address real-world challenges. The role involves building and optimizing models, crafting effective prompts for LLMs, and integrating AI into production systems at scale.Responsibilities:<ul><li>Design, develop, and deploy machine learning and deep learning models.</li><li>Preprocess, clean, and organize large datasets for optimal model performance.</li><li>Collaborate with data scientists and software engineers to integrate AI models into applications.</li><li>Design, test, and refine prompts to optimize Large Language Model (LLM) outputs for accuracy, relevance, and efficiency.</li><li>Optimize model performance, scalability, and resource utilization in production environments.</li><li>Stay current with advancements in AI/ML and prompt engineering techniques.</li><li>Develop APIs and services for model consumption.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.</li><li>Proven experience in machine learning and AI solution development.</li><li>Proficiency in Python and frameworks/libraries such as TensorFlow, PyTorch, or scikit-learn.</li><li>Hands-on experience with prompt engineering for LLMs (e.g., GPT, Claude, or similar).</li><li>Strong understanding of statistics, data modeling, and deep learning concepts.</li><li>Experience deploying models using Docker, Kubernetes, or Cloud ML services..</li></ul>Nice to Have:<ul><li>Experience with natural language processing (NLP), computer vision, or reinforcement learning.</li><li>Familiarity with MLOps practices and CI/CD pipelines for ML.</li><li>Experience with cloud AI platforms, such as:</li><li>AWS Bedrock, AWS SageMaker</li><li>GCP AI Platform, Vertex AI Generative AI Studio</li><li>Azure ML, Azure AI Studio</li></ul>Compensation and Benefits:<ul><li>Market Competitive Salary</li><li>Personal and Family Medical Insurance</li><li>Personal Life Insurance</li><li>Parental Medical Insurance</li><li>Personal and Family OPD</li><li>Weekly Meal</li><li>EOBI</li><li>Paid Technical Certifications</li></ul>Job Type: Full-timeWork Location: In person

AI/ML Engineer

HUAWEI Pakistan

<div>
 
 
 About the Role
 
 
 
 Huawei is seeking an
 
 AI Expert
 
 to design, develop, and deploy
 
 AI/ML-based solutions
 
 supporting
 
 RF optimization, SmartCare services, and network analytics
 
 . This role will enable proactive and predictive operations, improve network performance, and enhance customer experience through
 
 data-driven intelligence
 
 .
 
 
 The ideal candidate combines
 
 AI expertise with telecom domain knowledge
 
 , ensuring end-to-end solution delivery from
 
 data preprocessing to deployment and monitoring
 
 .
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy
 
 AI/ML models
 
 to support RF optimization, SmartCare services, and network analytics.
 </li>
 <li>
 Build and maintain
 
 data pipelines
 
 (Python, SQL, big data platforms) for large-scale telecom datasets.
 </li>
 <li>
 Collaborate with RF planning/optimization and SmartCare teams to
 
 integrate AI into daily workflows
 
 (anomaly detection, forecasting, coverage/capacity prediction, root cause analysis).
 </li>
 <li>
 Develop
 
 automation tools, dashboards, and visualization systems
 
 for real-time insights.
 </li>
 <li>
 Deliver
 
 end-to-end AI solutions
 
 : requirements analysis, model training/validation, deployment, and monitoring.
 </li>
 <li>
 Conduct research on
 
 advanced AI techniques
 
 (LLMs, deep learning, reinforcement learning, anomaly detection, RAG) and apply them in telecom.
 </li>
 <li>
 Provide
 
 knowledge transfer, documentation, and training
 
 to internal teams.
 </li>
 <li>
 Translate business problems into
 
 data-driven AI projects
 
 .
 </li>
 <li>
 Diagnose model results and ensure alignment with
 
 business KPIs
 
 .
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Skills
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Computer Science, AI, Data Science, or Telecommunications
 
 (Master&rsquo;s preferred).
 </li>
 <li>
 
 4&ndash;5 years
 
 of experience in
 
 AI/ML solution development
 
 , preferably in telecom (RF optimization, SmartCare, network analytics).
 </li>
 <li>
 Expertise in
 
 machine learning, deep learning, and data analytics frameworks
 
 (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Spark).
 </li>
 <li>
 Strong
 
 Python/SQL programming
 
 skills for telecom data analytics and automation.
 </li>
 <li>
 Knowledge of
 
 RF networks (2G/3G/4G/5G)
 
 and SmartCare solutions.
 </li>
 <li>
 Proficiency in
 
 data engineering and visualization tools
 
 (Power BI, Tableau, Huawei in-house tools).
 </li>
 <li>
 Familiarity with
 
 cloud-based AI/Big Data platforms
 
 .
 </li>
 <li>
 Strong
 
 problem-solving, troubleshooting, and cross-functional collaboration
 
 skills.
 </li>
 </ul>
 
 
</div>

Artificial Intelligence Engineer

Value Engineering

Position: AI Data Scientist &amp; Annotation ExpertLocation: On-site, Night Shift, Bahria Phase 4 RawalpindiEmployment Type: Full-timeAbout the RoleWe are looking for a skilled AI Data Scientist &amp; Annotation Expert to drive the full lifecycle of AI/ML solutions &mdash; from data collection and annotation through advanced model development, training, and deployment. The role combines hands-on annotation expertise (critical for building high-quality training datasets) with data science and machine learning skills to ensure robust, production-ready AI systems.You will play a central role in curating high-quality datasets, experimenting with algorithms, and ensuring model performance by leveraging both advanced data science techniques and precise annotation workflows.Key ResponsibilitiesData Science &amp; Machine Learning<ul><li>Design, build, and evaluate machine learning/deep learning models for NLP, Computer Vision, or multimodal tasks.</li><li>Perform feature engineering, exploratory data analysis (EDA), and statistical modeling.</li><li>Experiment with different model architectures (CNNs, RNNs, Transformers, LLMs) and optimize hyperparameters for maximum performance.</li><li>Develop and deploy scalable ML pipelines in production (using FastAPI, TensorFlow Serving, TorchServe, or containerized environments).</li><li>Collaborate with engineers and product teams to integrate models into end-user applications.</li></ul>Data Annotation &amp; Curation<ul><li>Design annotation workflows and guidelines for various data types (images, PDFs, audio, video, and text).</li><li>Perform and manage manual and semi-automated annotation tasks (e.g., bounding boxes, polygons, segmentation masks, labeling, and text tagging).</li><li>Implement quality control measures to ensure annotations meet accuracy and consistency standards.</li><li>Train and supervise annotation teams, providing feedback and ensuring adherence to project requirements.</li><li>Work with annotation tools (e.g., Label Studio, CVAT, Supervisely, Prodigy, Labelbox).</li><li>Assist in building gold-standard datasets that serve as the foundation for AI/ML training.</li></ul>MLOps &amp; Data Ops<ul><li>Set up pipelines for dataset versioning, experiment tracking, and model reproducibility (using MLflow, DVC, or similar).</li><li>Monitor dataset drift, class imbalances, and annotation consistency to avoid bias in models.</li><li>Collaborate with DevOps teams for deployment, scaling, and monitoring of AI models.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or a related field.</li><li>Strong programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face).</li><li>Solid understanding of machine learning algorithms, deep learning architectures, and statistical methods.</li><li>Hands-on experience with data annotation platforms (Label Studio, CVAT, or similar).</li><li>Familiarity with SQL/NoSQL databases and big data handling.</li><li>Strong understanding of data preprocessing (cleaning, augmentation, normalization, and transformation).</li></ul>Preferred Skills<ul><li>Prior experience in annotation team management or data labeling quality assurance.</li><li>Knowledge of vector databases (pgvector, Pinecone, Weaviate, Chroma) for AI-driven search and RAG pipelines.</li><li>Experience with MLOps tools (Airflow, Kubeflow, MLflow).</li><li>Knowledge of annotation automation using weak supervision, active learning, or semi-supervised learning techniques.</li><li>Understanding of ethical AI practices, bias detection, and responsible dataset curation.</li></ul>Soft Skills<ul><li>Exceptional attention to detail and accuracy in handling data.</li><li>Ability to train, mentor, and guide annotation teams.</li><li>Strong analytical and problem-solving skills.</li><li>Effective communication for both technical and non-technical audiences.</li><li>Self-driven, proactive, and collaborative mindset.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>are you comfortable working night shift?</li><li>Are you comfortable commuting to Bahria phase 4 Rawalpindi?</li></ul>Work Location: In person

AI Data Scientist & Annotation Expert

Webtronix

Job Summary: We are seeking a skilled and innovative Senior AI/ML Engineer to join our team and help design, develop, and deploy cutting-edge machine learning and artificial intelligence solutions. The ideal candidate will have strong programming skills, a deep understanding of machine learning algorithms, and experience working with large-scale datasets. You&rsquo;ll work cross-functionally with data scientists, software engineers, and product teams to integrate AI/ML models into real-world applications.Responsibilities:<ul><li>Design, develop, and implement machine learning models and AI algorithms.</li><li>Collaborate with data scientists and domain experts to preprocess and analyze data.</li><li>Optimize models for performance, scalability, and accuracy.</li><li>Develop end-to-end pipelines for model training, validation, deployment, and monitoring.</li><li>Integrate machine learning solutions into production systems and applications.</li><li>Conduct model evaluation and tuning using metrics such as precision, recall, F1 score, and ROC AUC.</li><li>Maintain documentation for models, data pipelines, and experiments.</li><li>Stay updated with the latest AI/ML research and industry trends and apply best practices.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>Strong programming skills in Python (and libraries such as TensorFlow, PyTorch, scikit-learn).</li><li>Solid understanding of supervised, unsupervised, and deep learning techniques.</li><li>Experience with data preprocessing, feature engineering, and data visualization.</li><li>Familiarity with cloud platforms (AWS, GCP, Azure) and ML Ops tools.</li><li>Experience working with large datasets and distributed computing frameworks (e.g., Spark).</li><li>Understanding of software engineering best practices: version control (Git), CI/CD, testing, etc</li></ul>Technical Skills:<ul><li>Experience with NLP, Computer Vision, or Time Series modeling.</li><li>Familiarity with Docker, Kubernetes, and model deployment frameworks like MLflow or SageMaker.</li><li>Contributions to open-source ML projects or research publications.</li><li>Experience with data annotation tools and techniques.</li></ul>Web-Tronix is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.Job Type: Full-timePay: Rs100,000.00 - Rs250,000.00 per monthWork Location: In person

Senior AI/ML Engineer

Tech Solutions Pro

We&rsquo;re Hiring &ndash; AI Engineer (2&ndash;3 Years Experience)Location: OnsiteEmployment Type: Full-time---About the Role,We&rsquo;re looking for a passionate AI Engineer to join our team. You&rsquo;ll help implement AI in our products, client projects, and internal processes by designing, building, and deploying innovative AI solutions.---Key Responsibilities,Design, build, and deploy AI/ML models for real-world use cases.,Research and implement state-of-the-art AI techniques (NLP, Computer Vision, Generative AI, etc.).,Collaborate with teams to identify opportunities for AI-driven innovation.,Fine-tune and optimize models for performance and cost.,Develop APIs/microservices for AI model integration.,Monitor and maintain deployed models for scalability &amp; reliability.,Stay updated with the latest advancements in AI/ML.,---Requirements,2&ndash;3 years experience as an AI/ML Engineer, Data Scientist, or similar.,Strong in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn).,Experience with NLP, Computer Vision, or Generative AI.,Familiarity with cloud platforms (AWS, GCP, Azure).,Knowledge of APIs, Docker, Kubernetes for deployment.,Strong problem-solving and analytical skills.,---Nice to Have,Experience with LLMs (LangChain, Hugging Face, OpenAI APIs).,Knowledge of MLOps for deployment/monitoring AI systems.,Exposure to prompt engineering and fine-tuning LLMs.,---What We Offer,Work on cutting-edge AI projects across multiple domains.,A culture of innovation and continuous learning.,Competitive salary &amp; growth opportunities.,Collaborative environment with talented engineers.Job Type: Full-timePay: Rs100,000.00 - Rs120,000.00 per monthWork Location: In person

AI Engineer

Centrox AI

Job Description:We are seeking a highly skilled and experienced Machine Learning Engineer to join our dynamic team. As a Machine Learning Engineer, you will play a key role in analyzing complex data sets, deriving insights, and developing innovative solutions to drive business growth and enhance decision-making processes.Responsibilities:<ul><li>Collaborate with cross-functional teams to identify business challenges and opportunities where data science can provide valuable insights and solutions.</li><li>Collect, clean, and analyze large volumes of structured and unstructured data from various sources.</li><li>Apply advanced statistical and machine learning techniques to develop predictive models and algorithms that drive business outcomes.</li><li>Perform exploratory data analysis to uncover patterns, trends, and correlations within the data.</li><li>Develop and implement data-driven strategies to optimize business processes, improve customer experience, and drive growth.</li><li>Design and execute A/B tests and experiments to evaluate the effectiveness of different approaches and drive continuous improvement.</li><li>Communicate complex analytical findings and insights to stakeholders in a clear and concise manner.</li><li>Stay up-to-date with the latest advancements in data science, machine learning, and industry trends, and apply them to solve business challenges.</li><li>Mentor and provide guidance to junior data scientists and analysts as needed.</li></ul>Qualifications:<ul><li>Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>Minimum of 2 years of hands-on experience in data science, statistical analysis, and machine learning.</li><li>Proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy).</li><li>Strong understanding of statistical concepts and modeling techniques (e.g., regression, classification, clustering, time series analysis).</li><li>Experience with machine learning frameworks (e.g scikit-learn, TensorFlow, PyTorch) and knowledge of deep learning algorithms is a plus.</li><li>Experience with data visualization tools (e.g., Matplotlib) to present insights and findings in a visually compelling manner.</li><li>Excellent problem-solving skills and the ability to translate business requirements into analytical solutions.</li><li>Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and explain complex concepts to non-technical stakeholders.</li></ul>Job Type: Full-timePay: From Rs100,000.00 per monthApplication Question(s):<ul><li>Application Question(s):</li></ul>Please fill the form for further consideration: https://cutt.ly/pwz0OhuWWork Location: In person

AI / ML Engineer

Nook Office Solutions

Role:<ul><li>Understand the state-of-the-art literature regarding NLP and language models, and use the gained knowledge to develop solutions that help in improving the processes of data collection and extraction from a wide variety of sources.</li><li>Work independently, and propose + develop feasible and efficient solutions.</li><li>Develop NLP/LLM-based applications.</li><li>Finetune LLMs/other networks according to custom requirements.</li><li>Ensure the correction of training data being used for finetuning.</li><li>Maintain and improve previously developed code.</li></ul>Experience:<ul><li>Bachelors in Computer Science, Software engineering, or Electronics engineering.</li><li>3+ years experience in machine learning and NLP-based product development using Python.</li><li>1 year experience with language model-based development.</li></ul>Requirements:<ul><li>Deep understanding of NLP core concepts.</li><li>Understanding of Transformer architecture and working mechanism of LLMs.</li><li>Ability to understand NLP and LLM literature and use it for designing solutions.</li><li>Experience in finetuning language models.</li><li>Experience overseeing the process of data preparation for finetuning LLMs/other models.</li><li>Experience in developing LLM-based applications.</li><li>Experience in information extraction using language models.</li><li>Good understanding of advanced mathematics and statistics adopted in the NLP domain.</li><li>Experience using Python + pytorch and other related libraries.</li><li>Ability to work independently (Research + Development).</li><li>Ability to clearly communicate ideas, work, and results.</li></ul>*Good to haves:<ul><li>Experience using Docker.</li><li>Experience using AWS.</li></ul>This position requires a very specific skill set for solving a set of very unconventional NLP related probelms. Therefore, deep understanding of machine learning concepts, NLP concepts, mathematical understanding of machine learning methods, and development experience is indispensable.Job Type: Full-timeWork Location: In person

Senior Artificial Intelligence Engineer

Explore 122+ Artificial intelligence specialist in Islamabad this October. Find roles across top companies and apply now to boost your career.