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Python Technologies

Location: DHA Phase 2, Islamabad Work Mode: Onsite Office Hours: 6:00 PM &ndash; 2:00 AM (Monday to Friday)We are looking for a skilled and motivated AI Engineer to join our growing team. This is a full-time, onsite role for someone passionate about building and deploying AI-powered solutions.Key Responsibilities<ul><li>Architect, develop, and deploy AI/ML solutions for real-world use cases</li><li>Lead projects involving LLMs, AI chatbots, voice bots, and intelligent automation</li><li>Design and optimize NLP pipelines and ML models</li><li>Integrate AI solutions with web apps, CRMs, APIs, and databases</li><li>Mentor junior engineers and provide technical guidance</li><li>Ensure scalability, performance, and security of AI systems</li></ul>Requirements<ul><li>Hands-on experience in AI/ML development</li><li>Strong proficiency in Python and AI frameworks (TensorFlow, PyTorch, etc.)</li><li>Experience with LLMs, prompt engineering, NLP, and AI automation</li><li>Solid understanding of REST APIs, databases, and cloud platforms</li><li>Experience deploying models into production environments</li><li>Strong problem-solving and leadership skills</li></ul>CompensationPKR 70,000 &ndash; 100,000 per month (depending on experience and skill set)What We Offer<ul><li>Competitive salary (based on experience)</li><li>Hands-on work with real AI products and clients</li><li>Growth-oriented environment with learning opportunities</li></ul>Interested candidates can apply by sending their CVJob Type: Full-timePay: Rs100,000.00 per monthWork Location: In person

Artificial Intelligence Engineer

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

Information Tech Consultants

<div>
 
 🌟 Senior Data Scientist SME /
 
 Data Science SME (Subject matter expert)
 
 🧠
 
 
 
 
 
 
 Location : London (Relocation required - Sponsorship will be provided)
 
 
 
 
 Experience : 9-12 years
 
 
 
 
 CTC- 40-45 lacs
 
 
 
 
 
 
 We are seeking a highly accomplished and results-oriented
 
 Senior Data Scientist Subject Matter Expert (SME)
 
 with over
 
 10 years of experience
 
 to lead our advanced analytics and AI initiatives. This is a pivotal role requiring deep technical mastery across large-scale Big Data technologies, multi-cloud environments, and cutting-edge specialized AI domains, including
 
 Generative AI, Computer Vision, and Natural Language Processing (NLP)
 
 .
 
 
 You will be the principal technical leader, driving strategy, setting standards, and delivering high-impact solutions that transform business outcomes.
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 
 AI/ML Strategy &amp; Architecture:
 
 Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving
 
 Generative AI (GenAI)
 
 , large language models (
 
 LLMs
 
 ), and specialized models in Computer Vision and NLP.
 </li>
 <li>
 
 Big Data Engineering:
 
 Design, build, and optimize high-throughput, distributed data pipelines and features using
 
 Apache Spark (Scala)
 
 and
 
 Hive
 
 on massive datasets to support model training and inference.
 </li>
 <li>
 
 Cross-Cloud Execution:
 
 Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (
 
 AWS, Azure, and GCP
 
 ), ensuring portability, scalability, and cost efficiency.
 </li>
 <li>
 
 Specialized Model Development:
 
 Lead hands-on development, fine-tuning, and deployment of production-grade models in key specialized areas:
 </li>
 <li>
 
 Computer Vision:
 
 Developing and optimizing models for image recognition, object detection, and video analytics.
 </li>
 <li>
 
 NLP:
 
 Building sophisticated systems for sentiment analysis, entity extraction, semantic search, and RAG architectures leveraging LLMs.
 </li>
 <li>
 
 Generative AI:
 
 Exploring and implementing cutting-edge GenAI techniques for content creation, data augmentation, and innovative product features.
 </li>
 <li>
 
 SME Consulting &amp; Mentorship:
 
 Act as the internal authority and consultant, providing technical guidance, architectural review, and mentorship to junior data scientists and engineering teams.
 </li>
 <li>
 
 MLOps &amp; Governance:
 
 Establish best practices for MLOps, model monitoring, version control, and model risk governance in a multi-cloud production environment.
 </li>
 </ul>
 
 
 
 
 Required Skills and Expertise (10+ Years)
 
 
 
 
 
 
 
 
 1. Big Data and Cloud Mastery
 
 
 
 
 <ul>
 <li>
 
 Programming &amp; Big Data:
 
 10+ years of extensive, hands-on experience with
 
 Apache Spark
 
 , with strong preference for production development using
 
 Scala
 
 . Deep expertise with
 
 Apache Hive
 
 for data querying and management.
 </li>
 <li>
 
 Cloud Proficiency:
 
 Demonstrated expertise in deploying and managing data/ML workloads across
 
 at least two
 
 of the three major cloud platforms:
 
 AWS
 
 (Sagemaker, EMR, S3),
 
 Azure
 
 (Azure ML, Synapse Analytics), and
 
 GCP
 
 (Vertex AI, BigQuery).
 </li>
 <li>
 
 Data Architecture:
 
 Expert knowledge of distributed systems, data partitioning, optimization techniques, and data warehousing concepts in a cloud-native context.
 </li>
 </ul>
 
 
 
 
 2. Advanced AI/ML Specialization
 
 
 
 
 <ul>
 <li>
 
 Generative AI (GenAI) &amp; LLMs:
 
 Proven experience with the architecture and implementation of Generative AI solutions, including prompt engineering, fine-tuning, and deploying
 
 Large Language Models (LLMs)
 
 .
 </li>
 <li>
 
 Computer Vision:
 
 In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO).
 </li>
 <li>
 
 NLP:
 
 Expert practical experience in NLP techniques, including transformer models, embedding generation, and building complex text-based applications.
 </li>
 </ul>
 
 
 
 
 3. Leadership &amp; Soft Skills
 
 
 
 
 <ul>
 <li>
 
 Technical Leadership:
 
 Proven track record of leading complex data science projects from research to production deployment.
 </li>
 <li>
 
 Communication:
 
 Exceptional ability to translate complex technical findings into clear, strategic recommendations for technical and executive audiences.
 </li>
 <li>
 
 Mentorship:
 
 Experience mentoring and training senior engineers and data scientists.
 </li>
 </ul>
 
 
 
 
 Education and Certification
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, Data Science, Engineering, or a highly quantitative field.
 </li>
 <li>
 Relevant professional cloud certifications (e.g., AWS Certified Machine Learning Specialty, Google Cloud Professional Data Engineer) are highly desirable.
 </li>
 </ul>
 
 
</div>

Senior Data Scientist SME & AI

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

Motive

<div><div>Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.</div> 

<h3 class="jobSectionHeader">
About the Role:</h3>

As a Senior Software Engineer on the ML Platform team, you will lead the effort to build systems that enable AI R&amp;D teams to deliver secure, highly scalable, distributed services. You will leverage technology such as Kubeflow, Kubernetes, Helm, Terraform, Python to build inference systems, infrastructure, and training pipelines as well as the distributed systems themselves. You will also provide guidance and mentorship to junior engineers.
<h3 class="jobSectionHeader">
What You'll Do:</h3>
<ul><li>Help define the direction for the team.</li>
<li>Define and prioritize ML Platform initiatives.</li>
<li>Enable teams to build features at scale by providing a foundation of reusable software components and infrastructure.</li>
<li>Become one of the subject matter experts on the team. Create deployment pipelines; take code from git to production.</li>
<li>Build infrastructure that enables fast, robust automated testing and validation.</li>
<li>Improve the performance and reliability of existing systems.</li>
<li>Coach junior engineers.</li>
</ul><h3 class="jobSectionHeader">What We're Looking For:</h3>
<ul><li>5-10 years software development experience</li>
<li>Building ML Ops infrastructure such as training pipelines.</li>
<li>Building services to deliver inference in a scalable manner.</li>
<li>Establishing monitoring best practices and implementing systems to enforce them.</li>
<li>Practicing and advocating for best engineering practices throughout the ML org.</li>
<li>B.S. or M.S. in Computer Science or a related field</li>
<li>Experience improving the ML infrastructure with multiple stakeholders in a large organization.</li>
<li>Experience in Python or similar language.</li>
<li>Working knowledge of AWS services and technologies.</li>
<li>Experience with Kubeflow pipeline development and management.</li>
<li>Nice to have exposure with infrastructure as code and configuration management such as Terraform, CloudFormation.</li></ul><div> 
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here.

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.

#LI-Remote</div></div>

Senior Software Engineer - ML Platform

Convo

<div>
 
 Job Description
 
 
 
 The Automation Test &amp; Integration Engineer will work at the intersection of AI-driven test generation and modern QA automation. This role involves validating and refining AI-generated test scripts (Selenium/Playwright), integrating them into CI/CD pipelines, and providing feedback to the AI engineering team to enhance automation accuracy and reliability. The engineer will also ensure seamless integration between automated testing and continuous deployment environments.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Review and validate AI-generated automation test scripts for accuracy, maintainability, and compliance with standards.
 </li>
 <li>
 Fix or enhance scripts generated by the AI system to ensure they are production-ready.
 </li>
 <li>
 Collaborate with AI engineers to provide structured feedback for improving prompt design and model accuracy.
 </li>
 <li>
 Integrate automation frameworks into CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions, etc.).
 </li>
 <li>
 Design and maintain reusable automation frameworks using Selenium, Playwright, or equivalent tools.
 </li>
 <li>
 Identify automation opportunities from manual test cases and suggest improvements to the AI generation process.
 </li>
 <li>
 Ensure test coverage, execution efficiency, and reporting in CI/CD workflows.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Strong hands-on experience with Selenium, Playwright, or other test automation frameworks.
 </li>
 <li>
 Proficiency with JavaScript/TypeScript, Python, or C# for test scripting.
 </li>
 <li>
 Good understanding of Azure DevOps, Git, and CI/CD pipelines.
 </li>
 <li>
 Familiarity with test design principles, test data management, and version control.
 </li>
 <li>
 Analytical mindset to assess AI-generated outputs and suggest improvement patterns.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience working with AI/ML-based test generation tools or frameworks.
 </li>
 <li>
 Familiarity with Postman, REST Assured, or API testing automation.
 </li>
 <li>
 Exposure to Docker or Kubernetes for testing in containerized environments.
 </li>
 <li>
 Experience with Playwright parallel execution, test dashboards, or reporting tools like Allure.
 </li>
 </ul>
</div>

Sr. Automation Test & Integration Engineer

convo

<div><h3 class="jobSectionHeader">Job Description</h3>
The Automation Test &amp; Integration Engineer will work at the intersection of AI-driven test generation and modern QA automation. This role involves validating and refining AI-generated test scripts (Selenium/Playwright), integrating them into CI/CD pipelines, and providing feedback to the AI engineering team to enhance automation accuracy and reliability. The engineer will also ensure seamless integration between automated testing and continuous deployment environments.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Review and validate AI-generated automation test scripts for accuracy, maintainability, and compliance with standards.</li><li>
Fix or enhance scripts generated by the AI system to ensure they are production-ready.</li><li>
Collaborate with AI engineers to provide structured feedback for improving prompt design and model accuracy.</li><li>
Integrate automation frameworks into CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions, etc.).</li><li>
Design and maintain reusable automation frameworks using Selenium, Playwright, or equivalent tools.</li><li>
Identify automation opportunities from manual test cases and suggest improvements to the AI generation process.</li><li>
Ensure test coverage, execution efficiency, and reporting in CI/CD workflows.</li></ul><h3 class="jobSectionHeader">
Required Skills</h3><ul><li>
Strong hands-on experience with Selenium, Playwright, or other test automation frameworks.</li><li>
Proficiency with JavaScript/TypeScript, Python, or C# for test scripting.</li><li>
Good understanding of Azure DevOps, Git, and CI/CD pipelines.</li><li>
Familiarity with test design principles, test data management, and version control.</li><li>
Analytical mindset to assess AI-generated outputs and suggest improvement patterns.</li></ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
Experience working with AI/ML-based test generation tools or frameworks.</li><li>
Familiarity with Postman, REST Assured, or API testing automation.</li><li>
Exposure to Docker or Kubernetes for testing in containerized environments.</li><li>
Experience with Playwright parallel execution, test dashboards, or reporting tools like Allure.</li></ul></div>

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367 lead ai ml engineer jobs IN Islamabad

Artificial Intelligence Engineer

Sr. AWS AI Engineer

Senior Data Scientist SME & AI

Senior AI Engineer

Senior Software Engineer - ML Platform

Sr. Automation Test & Integration Engineer

Sr. Automation Test & Integration Engineer