ai/ml engineer

junior ai engineer

automation engineer

engineering manager

lead ai/ml engineer

ai ml engineer

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

Creativelogicx

<ul><li>Design machine learning systems</li><li>Research and implement machine learning algorithms and tools</li><li>Manage and direct research and development processes to meet the needs of our AI strategy</li><li>Develop machine learning applications in alignment with project requirements and business goals</li><li>Perform machine learning tests and statistical analysis in order to fine-tune the machine learning systems</li><li>Select appropriate datasets and data representation methods</li><li>2+ years of experience applying AI to practical uses</li><li>Experience with deep learning, NLP, and TensorFlow</li><li>Experience writing robust code in Python, Java, and/or R</li><li>Experience in REST API development, NoSQL database design, and RDBMS design and optimizations</li><li>Knowledge of basic algorithms and object-oriented and functional design principles</li><li>Knowledge of data structures, data modeling, and software architecture</li></ul>Job Type: Full-timeWork Location: In person

Edge

<div>
 
 
 About Edge
 
 
 
 Edge is on a mission to remove geographic borders as barriers to full-time employment and fair wages. We&rsquo;re building a global HR platform ecosystem that seamlessly connects exceptional talent worldwide with North American businesses. By making global hiring easier than local hiring, we give companies a broader talent pool and accelerate their hiring process. Spread across four continents, we&rsquo;re a global team redefining how people work together.
 
 
 
 Role Overview
 
 
 
 We are seeking a
 
 Senior AI/ML Engineer (Agentic AI)
 
 to architect and implement autonomous, goal-driven AI agents. This role is ideal for someone experienced in multi-agent systems, orchestration frameworks, and deploying complex LLM-based agents that can reason, plan, and act in dynamic environments.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Agentic System Design
 
 &ndash; Design and deploy multi-agent or hierarchical reasoning systems capable of planning, self-correction, and collaboration.
 </li>
 <li>
 
 LLM Orchestration
 
 &ndash; Build long-running pipelines using frameworks such as LangGraph, AutoGen, or similar to manage memory, tool-use, and context.
 </li>
 <li>
 
 Tool &amp; Data Integration
 
 &ndash; Connect agents to APIs, knowledge graphs, and vector databases (e.g., Pinecone, Weaviate, Milvus) to enable autonomous decision-making.
 </li>
 <li>
 
 Data &amp; Infrastructure
 
 &ndash; Develop and maintain data pipelines and embedding stores; implement ETL/ELT workflows.
 </li>
 <li>
 
 Optimization &amp; Scaling
 
 &ndash; Fine-tune and optimize LLMs for performance, cost, and safety; implement monitoring and feedback loops.
 </li>
 <li>
 
 Cross-Functional Collaboration
 
 &ndash; Partner with product, engineering, and compliance teams to align agent behavior with business goals and regulatory requirements.
 </li>
 </ul>
 
 
 Must-Have Qualifications
 
 
 <ul>
 <li>
 Demonstrated experience designing and deploying agentic or multi-agent AI systems.
 </li>
 <li>
 Deep understanding of transformer architectures and advanced prompt-engineering strategies.
 </li>
 <li>
 Strong Python skills and expertise with orchestration frameworks (LangGraph, AutoGen, CrewAI, etc.).
 </li>
 <li>
 Proficiency in building robust data pipelines and working with vector databases.
 </li>
 <li>
 Cloud deployment and MLOps experience (AWS, GCP, or Azure).
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience fine-tuning LLMs with LoRA/QLoRA/PEFT.
 </li>
 <li>
 Knowledge of reinforcement learning, planning algorithms, or neuro-symbolic methods.
 </li>
 <li>
 Contributions to open-source agentic AI frameworks or published research in autonomous AI.
 </li>
 </ul>
 
 
 Why Join Edge?
 
 
 
 Edge is at a pivotal growth stage, giving you the rare opportunity to shape the future of global employment. Your work will directly impact how businesses hire and how talent everywhere connects to opportunity.
 
 
 Join us to
 
 build the next generation of autonomous AI that changes how the world works across borders.
 
 
</div>

Senior AI/ML Engineer (Agentic AI)

Cloudelligent

<div>Position Title: Sr. AWS AI Engineer 
Location: Islamabad 
Job Timings: 6pm-3am Pakistan Time (PKT) 
 
About Cloudelligent 
 
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to startups and SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed. 
 
Job Objective 
 
As a Sr. AWS AI Engineer at Cloudelligent, you will drive the development of innovative artificial intelligence solutions. This role emphasizes the implementation, optimization, and deployment of AI models while collaborating with cross-functional teams to enhance our products and services. The ideal candidate will possess a strong foundation in both machine learning and deep learning. Additionally, this role will lead and manage a team of AI engineers, guiding their growth and ensuring the successful delivery of AI-driven solutions. 
 
Responsibilities:<ul><li>
Implement and fine-tune pre-trained AI models tailored to meet specific industry needs.</li><li>
Utilize cloud-based AI services, particularly AWS Bedrock, Amazon SageMaker, Amazon Rekognition, and OpenAI, to streamline development and deployment processes.</li><li>
Leverage AWS data services, including Amazon Athena, Amazon Redshift, OpenSearch, Kendra and AWS Glue, for efficient data processing and analysis.</li><li>
Optimize AI models for performance, accuracy, and efficiency, ensuring they meet real-world requirements.</li><li>
Apply techniques to reduce AI hallucination and enhance model reliability.</li><li>
Utilize Retrieval-Augmented Generation (RAG) techniques to improve AI response quality.</li><li>
Work with vector databases, specifically PostgreSQL with pgvector, for efficient similarity search and information retrieval in AI applications.</li><li>
Collaborate with cross-functional teams to seamlessly integrate AI capabilities into our products and services.</li><li>
Engage in prompt engineering to enhance model interaction and output quality.</li><li>
Stay updated on the latest trends and advancements in AI technologies, contributing to the adoption of new tools and techniques.</li></ul>
Requirements:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Machine Learning, or a related field.</li><li>
5+ years of hands-on experience in AI/ML development with a strong focus on AWS-based AI services.
</li><li>Advanced proficiency in Python and expertise in AI/ML frameworks such as TensorFlow, PyTorch, or Keras.</li><li>
Extensive experience with AWS AI services, including Amazon SageMaker, AWS Bedrock, and integrating Azure OpenAI into cloud-based solutions.</li><li>
In-depth knowledge of AWS data services, including Amazon Athena, Amazon Redshift, AWS Glue, and their application in AI/ML pipelines.</li><li>
Expertise in Agentic Behavior in AI and deploying models using technologies like CrewAI, LangGraph, and Langchain.</li><li>
Experience with vector databases and similarity search techniques for scalable AI solutions.</li><li>
Understanding of AI/ML algorithms and architectures, including CNNs, RNNs, transformers, and experience building end-to-end solutions.</li><li>
Expertise in data preprocessing, feature engineering, and model evaluation at scale.</li><li>
Demonstrated ability to lead AI/ML projects and communicate complex ideas effectively to both technical and non-technical stakeholders.</li></ul>
Good to Have:<ul><li>
Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, or Scikit-learn.</li><li>
Knowledge of big data technologies such as Apache Spark or Hadoop.</li><li>
Familiarity with data visualization tools and techniques.</li></ul>
Highly Desirable:<ul><li>
Relevant certifications (e.g., AWS Certified Machine Learning &ndash; Specialty, AWS Certified AI Practitioner).</li></ul> 

Eddu0LEAtX</div>

Sr. AWS AI 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>
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190 ai ml engineer jobs IN Islamabad

AI/ML Engineer

AI/ML Engineer

Senior AI/ML Engineer (Agentic AI)

Sr. AWS AI Engineer

Senior AI Engineer

Data Scientist

Data Scientist