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ai tools & prompt engineering instructor

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EDGEC

Company DescriptionAt Edgec.io, we build intelligent digital solutions using Artificial Intelligence, Machine Learning, Cloud Computing, Cybersecurity, Data Analytics, and IoT. We aim to transform ideas into impactful technology products.Job Title: Fresher AI Engineer (Entry Level) Location: Lahore (On-site) Job Type: Full-TimeJob OverviewWe are looking for a motivated Fresher AI Engineer to join our team. This role is ideal for recent graduates who want to start their career in Artificial Intelligence and Machine Learning.You will work under senior engineers and gain hands-on experience in AI model development, NLP, and data processing.Responsibilities<ul><li>Assist in building basic AI/ML models</li><li>Perform data cleaning and preprocessing</li><li>Support NLP and pattern recognition tasks</li><li>Work with Python and AI libraries</li><li>Collaborate with development teams</li><li>Learn and implement AI concepts in real projects</li></ul>Requirements<ul><li>Bachelor&rsquo;s in Computer Science or related field</li><li>Basic understanding of AI/ML concepts</li><li>Knowledge of Python</li><li>Interest in NLP and Neural Networks</li><li>Strong learning mindset and teamwork skills</li></ul>Pay: Rs60,000.00 - Rs120,000.00 per monthEducation:<ul><li>Bachelor's (Preferred)</li></ul>Work Location: In person

AI/ML Engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div>Skill- Data Scientist
Exp - 6+years
Location- Hyderabad
JD
Core Programming &amp; Tools
<ul><li> Hands-on experience building and deploying ML models on large-scale production datasets</li></ul>
<ul><li> Strong programming proficiency in Python with production-quality, well-structured code</li></ul>
<ul><li> Proficient in SQL; experience working with large-volume datasets in Spark and/or Snowflake</li></ul>
<ul><li> Experience with Git for version control, code review, and collaboration</li></ul>
<ul><li> Familiarity with experiment tracking and model versioning (e.g., MLflow)</li></ul>
Classical ML &amp; Statistical Modeling
<ul><li> Time series forecasting (ARIMA, Prophet, deep learning approaches)</li></ul>
<ul><li> Optimization modeling (linear programming, mixed-integer programming)</li></ul>
<ul><li> &amp;nbs p; Classification, regression, clustering, and ensemble methods</li></ul>
<ul><li> Feature engineering, data wrangling, and statistical analysis on structured data</li></ul>
LLM Application &amp; AI Agent Development
<ul><li> AI Agent development: experience building agentic frameworks using Azure AI Studio and Azure model endpoints, including tool-use patterns and multi-step orchestration</li></ul>
<ul><li> RAG pipeline development: document ingestion/chunking, vector embedding/indexing (Azure AI Search), and response generation using LLM endpoints</li></ul>
<ul><li> Prompt engineering and chain-of-thought design for complex supply chain workflows</li></ul>
<ul><li> Experience with orchestration frameworks like LangChain or LlamaIndex</li></ul>
Azure &amp; Production Delivery
<ul><li> Familiar with core Azure resources: Azure Machine Learning, Azure AI Studio, Azure OpenAI Service, and Azure storage/compute</li></ul>
<ul><li> Experience delivering production-ready models with proper testing, validation, and monitoring</li></ul>
<ul><li> Basic UI skills (Streamlit or Gradio) for quick prototyping and demos</li></ul>
Work Style
<ul><li> Highly self-motivated, collaborative, and able to deliver in a fast-paced environment</li></ul>
<ul><li> Able to start contributing within 1-2 weeks with minimal ramp-up</li></ul> 
</div></div></div><div><div><div>Location
</div><div>Hyderabad
</div></div><div><div>Job Function
</div><div>TECHNOLOGY
</div></div><div><div>Role
</div><div>Engineer
</div></div><div><div>Job Id
</div><div>416990
</div></div><div><div>Desired Skills
</div><div>Data Science
</div></div></div><div>Desired Candidate Profile
</div><div><div>Qualifications : BACHELOR OF ENGINEERING</div></div></div><div></div>

Data Scientist

Cubitrek Private Limited

Job Title: QA Engineer We're looking for a sharp, detail-oriented QA Engineer to join our growing team and help maintain quality standards for our AI-powered knowledge retention platform. This role is ideal for someone in early or mid-level in their QA career who is eager to learn, takes ownership of their work, and is excited to grow alongside a cutting-edge AI product. About the Role As a QA Engineer, you'll help design and execute test cases, find bugs, and make sure our platform runs smoothly. You'll work closely with developers, product managers, and AI teams, with plenty of opportunities to learn modern testing practices, automation, and AI product quality assurance from experienced team members. Responsibilities<ul><li>Execute manual test cases and gradually take on automated testing</li><li>Perform functional, regression, and integration testing</li><li>Identify, document, and track bugs and usability issues clearly</li><li>Collaborate with developers to reproduce and resolve defects</li><li>Help test API integrations under guidance</li><li>Contribute to QA documentation and sprint activities</li><li>Continuously learn new tools, frameworks, and testing approaches</li></ul>Requirements<ul><li>1&ndash;3 years of experience in QA, software testing, or a related technical role (preferably in AI)</li><li>Understanding of software QA concepts and the software development lifecycle</li><li>Familiarity with at least one API testing tool (Postman or similar)</li><li>Strong analytical thinking and attention to detail</li><li>Clear written and verbal communication</li><li>A strong sense of responsibility, ownership, and follow-through</li><li>Genuine eagerness to learn and grow</li></ul>Nice to Have<ul><li>Exposure to automation tools like Selenium, Cypress, or Playwright (even at a beginner level)</li><li>Curiosity about AI/ML products and how to test them</li><li>Awareness of cloud platforms (AWS, Azure, or GCP) or CI/CD pipelines</li><li>Personal projects, certifications, or coursework related to QA or development</li></ul>What We Offer<ul><li>Mentorship and hands-on learning with an experienced engineering team</li><li>Opportunity to work on an innovative AI product</li><li>A collaborative, growth-focused environment</li><li>Competitive salary and clear paths for career development</li></ul>Apply using this link:https://antiquewhite-rail-653309.hostingersite.com/applyApplication Question(s):<ul><li>What's your current salary?</li><li>What's your expected salary?</li></ul>Work Location: Hybrid remote in Karachi Gulshan-E-Iqbal

QA Engineer

Lloyds Technology Centre

<div>End Date
Sunday 12 July 2026
We Support Flexible Working &ndash; Click here for more information on flexible working options
Flexible Working Options
Hybrid Working
Job Description Summary
Lloyds Banking Group is the UK&rsquo;s largest Digital, Retail and Commercial Bank with a focus on Helping Britain Prosper.
 
 
We&rsquo;re on the mission to build the bank of the future, and we need your help do it. Continuing our extensive transformation programme, we're redefining what a bank is from the inside out. Our technology, our culture, and our mind-set is changing to craft a true engineering-led organisation.
Job Description
Role: Senior/Lead Software Engineer 
Experience: 4-15 years 
Location: Hyderabad 
Job Type: Full Time
Key Accountabilities
1. Document AI Solution Development<ul><li>
Design and implement document processing workflows, including classification, extraction, and validation steps</li></ul><div></div>
2. AI Model Integration and Workflow Orchestration<ul><li>
Support integration of AI/ML and generative AI models into document processing workflows</li><li>
Define and manage workflow execution steps, ensuring traceability and consistency of outputs</li><li>
Support execution monitoring through defined workflow steps and execution tracking mechanisms</li></ul><div></div>
3. Data Processing and Platform Integration<ul><li>
Configure document ingestion, processing, and output flows across platform components</li><li>
Enable integration with on-prem and cloud downstream systems via APIs and automation layers</li><li>
Ensure solutions align with enterprise architecture and interoperability requirements</li></ul><div></div>
4. Operational Support and Performance Monitoring<ul><li>
Support live DocAI use cases by monitoring performance, accuracy, and usage</li><li>
Provide analysis of processing volumes and success rates where available</li><li>
Contribute to the generation and improvement of operational reporting and insights</li><li>
Resolve incidents raised for both on-prem and cloud solutions</li></ul><div></div>
5. Continuous Improvement and Problem Resolution<ul><li>
Identify gaps in current capabilities, including reporting, scalability, and data availability</li><li>
Investigate constraints such as data retention or system limitations and propose viable solutions</li><li>
Support ongoing enhancement of platform capabilities and delivery practices</li></ul><div></div>
6. Collaboration and Stakeholder Engagement<ul><li>
Work closely with Product Owners, engineers, and platform teams to deliver DocAI capabilities</li><li>
Participate in regular forums and working sessions to support delivery and continuous improvement</li><li>
Contribute to the evolution of reusable, platform-based document intelligence solutions</li></ul><div></div>
Skills and Experience
Technical Skills<ul><li>
Extensive experience of at least one high-level programming language, preferably Python and Typescript</li><li>
Experience building solutions following Infrastructure as Code best practices employing Terraform</li><li>
Hands-on experience building solutions for the public cloud (GCP)</li><li>
Experience working with and building CI/CD pipelines</li><li>
Experience with AI/ML or document intelligence technologies</li><li>
Understanding of workflow orchestration and pipeline design</li><li>
Familiarity with API-based integration and enterprise platforms</li></ul><div></div>
Core Capabilities<ul><li>
Analytical problem-solving and data interpretation</li><li>
Attention to detail and accuracy in solution design</li><li>
Ability to assess and make design decisions</li><li>
Ability to work with structured and unstructured data</li><li>
Strong collaboration across technical and product teams</li></ul></div>

Senior Software Engineer

CodeNinja

<div>About CodeNinja
CodeNinja is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations&mdash;combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.
Role Overview
We are seeking a Senior Data Scientist with 4+ years of experience to design, develop, and deploy advanced machine learning and forecasting solutions for high-impact business use cases. This role requires strong expertise in predictive analytics, time-series forecasting, statistical modeling, and the ability to translate complex business problems into scalable data-driven solutions.
You will play a key role in building robust, interpretable, and production-ready models that support forecasting, optimization, risk analysis, and strategic decision-making across multiple domains. 
Requirements 
 
Machine Learning &amp; Forecasting<ul><li>
Design, develop, and deploy machine learning models for forecasting, prediction, and optimization use cases.</li><li>
Build and evaluate time-series forecasting solutions using statistical and machine learning approaches.</li><li>
Perform feature engineering including lag variables, rolling statistics, trend decomposition, seasonality analysis, and exogenous variable integration.</li><li>
Develop and benchmark models using techniques such as ARIMA, SARIMA, Prophet, XGBoost, Random Forest, Gradient Boosting, and Neural Networks.</li><li>
Conduct model validation, backtesting, and performance monitoring using appropriate evaluation metrics.</li></ul>
Data Science &amp; Analytics<ul><li>
Analyze large and complex datasets to identify trends, anomalies, and business opportunities.</li><li>
Perform exploratory data analysis (EDA) and statistical investigations.</li><li>
Design experiments and evaluate model performance using sound statistical methodologies.</li><li>
Build business-focused insights and recommendations from analytical findings.</li></ul>
Production &amp; Deployment<ul><li>
Collaborate with engineering teams to deploy machine learning solutions into production environments.</li><li>
Build scalable data pipelines and automated workflows.</li><li>
Implement model monitoring, drift detection, retraining strategies, and version control.</li><li>
Develop dashboards and reporting solutions using tools such as Power BI, Tableau, or Streamlit.</li></ul>
Collaboration &amp; Leadership<ul><li>
Partner with business, product, and engineering stakeholders to define data-driven solutions.</li><li>
Communicate technical findings to both technical and non-technical audiences.</li><li>
Mentor junior team members and contribute to data science best practices.</li><li>
Participate in architecture discussions and support project delivery initiatives.</li></ul>
Requirements<ul><li>
4+ years of hands-on experience in Data Science, Machine Learning, or Predictive Analytics.</li><li>
Strong experience with time-series forecasting and predictive modeling.</li><li>
Proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn, and XGBoost.</li><li>
Experience with forecasting techniques such as ARIMA, SARIMA, Prophet, or similar methods.</li><li>
Strong understanding of statistics, hypothesis testing, feature engineering, and model evaluation.</li><li>
Experience with model validation, cross-validation, and performance metrics (MAPE, MAE, RMSE).</li><li>
Experience working with SQL and large-scale datasets.</li><li>
Familiarity with data pipelines, experimentation frameworks, and analytical environments such as Jupyter or Databricks.</li><li>
Strong communication skills with the ability to present technical insights to business stakeholders.</li><li>
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. 
</li></ul>
Preferred/Advance Skills<ul><li><ul><li>
Experience in multi-entity and multi-currency financial forecasting environments.
</li><li>Familiarity with cloud ML platforms (AWS SageMaker, Azure ML, GCP AI).
</li><li>Experience implementing CI/CD and MLOps frameworks.
</li><li>Exposure to probabilistic forecasting and Bayesian modeling approaches.
</li><li>Knowledge of financial regulations, treasury workflows, and corporate finance processes.</li></ul></li></ul>
Why Join Us<ul><li>
Work on high-impact financial forecasting problems that directly influence strategic decision-making.
</li><li>Lead cutting-edge machine learning initiatives in a mission-critical environment.
</li><li>Collaborate with cross-functional leadership across finance, risk, and engineering.
</li><li>Opportunity to architect scalable ML systems from research to enterprise production.
</li><li>Be part of a culture that values innovation, ownership, and technical excellence.
</li></ul>Equal Opportunity Statement
We are an equal opportunity employer and are committed to fostering an inclusive, diverse, and equitable workplace. We do not discriminate based on race, religion, gender, age, disability, nationality, marital status, or any other protected characteristic under applicable law. We encourage candidates from all backgrounds to apply. 
Benefits 
<ul><li>
Provident Fund</li><li>
Gym Membership
</li><li>Leaves as per the company policy
</li><li>Company-paid trips
</li><li>Easy Loan Facility for Employees
</li><li>Yearly increment
</li><li>Maternity Benefits (Leaves &amp; WFH)
</li><li>Health Insurance (Maternity covered) &ndash; includes spouse and parents (till age 80)</li></ul></div>

NXP Semiconductors

<div>We at NXP have an environment that fosters innovation. Our team has technology experts who understand the big picture and mentors who coach passionate professionals to work on the most exciting challenges. We share responsibilities in everything we do, where every point of view is valued. Join us! 
Job Summary 
We are seeking a highly skilled Edge AI Engineer/Scientist with a strong theoretical foundation in AI and solid software engineering expertise to contribute to our Edge AI Model Optimization program. While the primary focus of this role is on model quantization, the scope also includes complementary optimization strategies such as speculative decoding, pruning, and other methods for ensuring highly efficient on-device deployment. 
You will work at the forefront of innovation, bridging the gap between research and practice, focusing on CNNs, Large Language Model (LLM) and Vision Language Model (VLM) optimization to bring advanced capabilities to NXP&rsquo;s Ara2 family of NPUs, directly supporting the future of on‑device intelligence. 
If you want to the future of efficient on‑device AI, this is the place to be. 
Job Responsibilities 
Research: Actively survey the latest research (NeurIPS, ICLR, CVPR) on model optimization/compression, focusing particularly on neural network quantization, but also including other techniques like speculative decoding, pruning, etc.
 
Prototyping: Develop and adapt state-of-the-art methods to NXP&rsquo;s hardware constraints, building POCs to showcase the effectiveness of these techniques on NXP HW.
 
Production Implementation: Translate research prototypes into robust, optimized production code (C++/Python), ensuring strict memory and compute efficiency standards.
 
Systems Integration: Document algorithmic tradeoffs, derive deployment recipes, and mentor the engineering team on numerical methods and optimization.
 
Cross-Functional Leadership: Act as the technical bridge between AI Research, Hardware Engineering and other teams, providing quantified guidance on how choices impact model accuracy and performance.
 
IP Generation: Contribute to NXP&rsquo;s intellectual property portfolio through patents and technical publications. 
Job Qualifications 
Required Background 
Education: MSc or Ph.D (is a plus) in Computer Science, Electrical Engineering, or Mathematics with a focus on Machine Learning or Deep Learning.
 
AI Expertise: Proven practical experience in AI/ML with a deep understanding of CNN architectures and Generative AI (Transformers, LLMs, VLMs, etc.).
 
Technical Stack: Strong hands-on experience with PyTorch, ONNX, and model conversion/optimization pipelines.
 
Software Engineering: Proficient in Python and C++ and best development practices.
 
Embedded Mindset: Familiarity with the constraints of embedded systems (latency, power, memory bandwidth) and how code interacts with underlying hardware. 
Preferred 
Advanced AI: Experience with state-of-the-art quantization techniques for discriminative and generative AI (e.g., GPTQ, SpinQuant, etc).
 
Hardware Acceleration: Experience with NPUs, device-level profiling, and diagnosing memory bottlenecks.
 
Kernel Development: Experience with custom kernel development is a plus.
 
Compilers: Knowledge of MLIR or TVM is a significant plus. 
 
More information about NXP in India...
#LI-29f4</div>

Senior Quantization Engineer - Edge AI Model Optimization

Asianet Pakistan

What We&rsquo;re Looking for Education &amp; Experience<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field</li><li>3&ndash;5 years of experience developing, optimizing, and maintaining applications using C# and C++ in Microsoft Visual Studio</li><li>Experience working in an Agile development environment</li></ul>Technical Skills<ul><li>Programming Languages: C#, C++, Python (for AI/ML integration), JavaScript/TypeScript</li><li>Web Frameworks: ASP.NET, .NET Core, MVC, Angular</li><li>API Development &amp; Integration: RESTful APIs, SOAP, JSON, XML, third-party integrations</li><li>Database Management: SQL Server, MySQL; database design and optimization</li><li>Cloud &amp; DevOps: Azure / AWS / GCP, CI/CD pipelines, containerization</li><li>Front-End Skills: HTML5, CSS3, Angular, Bootstrap, responsive design</li><li>Version Control &amp; Collaboration: Git, GitHub, GitLab, Bitbucket</li><li>Testing &amp; QA: Unit testing, integration testing, automated testing frameworks</li><li>Performance &amp; Optimization: Profiling, memory management, algorithm optimization</li><li>Security: Authentication/authorization, data encryption, secure coding practices</li><li>AI &amp; Machine Learning Skills:</li><li>Knowledge of ML frameworks such as TensorFlow.</li><li>Experience integrating AI/ML models into backend systems</li><li>Natural Language Processing (NLP) and/or computer vision experience</li><li>Familiarity with AI APIs (OpenAI, Azure AI, AWS, Google AI)</li><li>Tools: Visual Studio, Postman, Jira, Confluence, logging &amp; monitoring tools</li></ul>Core Skills<ul><li>Strong analytical and problem-solving skills</li><li>Excellent debugging and troubleshooting capabilities</li><li>Ability to work independently and collaboratively in teams</li><li>Time management and ability to handle multiple tasks</li><li>Strong communication and documentation skills</li></ul>Key Responsibilities Back-End Development<ul><li>Design, develop, and maintain server-side logic for applications and workflows</li><li>Integrate third-party systems using APIs and Web Services</li><li>Build custom workflows, automations, and data pipelines to enhance platform functionality</li><li>Integrate AI/ML models into existing applications for intelligent features and analytics</li></ul>Collaboration<ul><li>Work closely with developers, content teams, and stakeholders to deliver high-quality solutions</li><li>Troubleshoot and resolve technical issues related to desktop and web-based integrations</li></ul>Testing &amp; Optimization<ul><li>Conduct thorough testing for performance, functionality, and security</li><li>Continuously optimize and enhance new and existing software solutions</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>What is your current Salary?</li></ul>Experience:<ul><li>Software Developer: 2 years (Preferred)</li></ul>Work Location: In person

Software Developer

Explore 246+ Ai ml engineer in Pakistan this July. Find roles across top companies and apply now to boost your career.

246 ai ml engineer jobs In Pakistan

AI/ML Engineer

Data Scientist

QA Engineer

Senior Software Engineer

Data Scientist

Senior Quantization Engineer - Edge AI Model Optimization

Software Developer