ai engineer – ai automation (night shift)

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ai engineer – ai automation (night shift) Jobs in Islamabad

business development engineer – construction & engineering Jobs in Islamabad

data engineer

deputy project manager (electrical & instrumentation) Jobs in Islamabad

engineer machine

Sofnix(SMC-Private) Limited

JOB SUMMARYAssociate Engineer Machine Learning will help in discovering the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products. Primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Must be able to extract features, select features, code, train model, validate and evaluate the models.MAIN TASKS AND RESPONSIBILITIES&middot; Selecting features, building and optimizing classifiers using machine learning techniques&middot; Data mining or extracting usable data from valuable data sources.&middot; Carrying out preprocessing of structured and unstructured data&middot; Enhancing data collection procedures to include all relevant information for developing analytic systems&middot; Processing, cleansing, and validating the integrity of data to be used for analysis.&middot; Analyzing large amounts of information to find patterns and solutions.&middot; Developing prediction systems and machine learning algorithms&middot; Propose solutions and strategies to tackle business challenges.&middot; Data mining using state-of-the-art methods.&middot; Doing ad-hoc analysis and presenting results in a clear manner&middot; Creating automated anomaly detection systems and constant tracking of its performanceMINIMUM QUALIFICATIONS&middot; 2+ years of Python development experience&middot; 2+ years of SQL experience (No-SQL experience is a plus)&middot; Proven Experience as Data Analyst or Data Scientist&middot; Must have knowledge of NLP modelling techniques, with a firm grasp of the mechanics of modelling methods&middot; Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.Good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.&middot; Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.&middot; Data Wrangling &ndash; proficiency in handling imperfections in data&middot; Excellent Communication Skills&middot; Strong Software Engineering Background&middot; Hands-on experience with data science tools&middot; Problem-solving aptitude&middot; Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.&middot; Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc&middot; Degree in Computer Science, Data Science or relevant field is preferred.Work Location: In person

Engineer Machine

Try Soft Ai

Try Soft AI is looking for a highly skilled AI Engineer with strong experience in AI Automation and Generative AI technologies to join our growing engineering team. The ideal candidate will have hands-on experience building AI-powered automation systems, AI agents, and voice AI solutions.Location: DHA Phase 2, Islamabad, Pakistan Job Type: Full-Time (Onsite) Working Hours: 08:00 PM &ndash; 05:00 AM (Pakistan Standard Time) Department: Artificial Intelligence / Automation EngineeringAbout the RoleWe are looking for a highly skilled AI Engineer with strong experience in AI Automation, LLM integrations, and workflow automation. The ideal candidate will design, develop, and deploy intelligent systems that automate business processes using AI models, APIs, and automation platforms.This role requires deep expertise in Generative AI, AI agents, API integrations, and automation pipelines. The engineer will work closely with product, engineering, and operations teams to build scalable AI-powered automation solutions for internal and client-facing applications.Key ResponsibilitiesAI Automation Development<ul><li>Design and develop AI-powered automation systems that streamline business workflows and operational processes.</li><li>Build AI agents, voice agents, and conversational assistants using LLMs and AI APIs.</li><li>Implement AI-driven automation pipelines for tasks such as lead qualification, customer support, appointment booking, and data processing.</li><li>Integrate AI models into production environments using APIs and microservices architecture.</li></ul>Generative AI &amp; LLM Implementation<ul><li>Develop applications using Large Language Models (LLMs) such as OpenAI GPT models, Claude, or similar AI platforms.</li><li>Design prompt engineering strategies to optimize LLM performance.</li><li>Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases.</li><li>Build AI copilots, chatbots, and decision support systems.</li></ul>Automation &amp; Integration<ul><li>Develop advanced automation workflows using tools such as:</li><li>Make.com</li><li>Zapier</li><li>n8n</li><li>LangChain</li><li>LlamaIndex</li><li>Integrate AI systems with:</li><li>CRM platforms</li><li>Databases</li><li>SaaS products</li><li>Web applications</li><li>Third-party APIs</li></ul>Voice AI &amp; Conversational Systems<ul><li>Develop AI voice agents and voice-based automation systems.</li><li>Integrate platforms such as:</li><li>Vapi.ai</li><li>Twilio</li><li>ElevenLabs</li><li>Speech-to-Text and Text-to-Speech engines</li><li>Implement real-time conversational AI systems for customer interactions.</li></ul>Backend Development &amp; API Engineering<ul><li>Design and implement RESTful APIs and AI microservices.</li><li>Integrate AI services into web and mobile applications.</li><li>Ensure scalability, reliability, and security of AI automation systems.</li></ul>Data &amp; Model Integration<ul><li>Work with structured and unstructured data sources.</li><li>Implement vector search and embeddings using vector databases such as:</li><li>Pinecone</li><li>Weaviate</li><li>FAISS</li><li>ChromaDB</li><li>Optimize AI models for performance and cost efficiency.</li></ul>Monitoring &amp; Optimization<ul><li>Monitor AI system performance and improve model outputs.</li><li>Implement logging, error handling, and retry mechanisms for automation workflows.</li><li>Continuously optimize AI workflows for accuracy, reliability, and efficiency.</li></ul>Required Technical SkillsProgramming Languages<ul><li>Python (Highly preferred)</li><li>JavaScript / Node.js</li><li>TypeScript</li></ul>AI &amp; Machine Learning<ul><li>Generative AI</li><li>LLM Applications</li><li>Prompt Engineering</li><li>Retrieval-Augmented Generation (RAG)</li><li>AI Agents &amp; Autonomous Workflows</li></ul>AI Frameworks<ul><li>LangChain</li><li>LlamaIndex</li><li>OpenAI API</li><li>HuggingFace</li><li>Transformers</li></ul>Automation Platforms<ul><li>Make.com</li><li>Zapier</li><li>n8n</li><li>Custom automation frameworks</li></ul>Voice AI Technologies<ul><li>Vapi.ai</li><li>Twilio Voice / SMS APIs</li><li>ElevenLabs</li><li>Speech-to-Text &amp; Text-to-Speech systems</li></ul>Databases<ul><li>PostgreSQL</li><li>MongoDB</li><li>Redis</li><li>Vector Databases (Pinecone, Weaviate, FAISS, Chroma)</li></ul>Cloud Platforms<ul><li>AWS / GCP / Azure</li><li>Docker</li><li>Serverless architectures</li></ul>Other Technical Skills<ul><li>REST APIs &amp; Webhooks</li><li>OAuth &amp; API authentication</li><li>Git / Version Control</li><li>CI/CD pipelines</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Software Engineering, or related field.</li><li>3+ years of experience in software development with exposure to AI technologies.</li><li>1&ndash;2+ years of hands-on experience building AI automation solutions.</li><li>Experience deploying AI-powered applications in production environments.</li><li>Excellent communication and collaboration skills. (MUST)</li></ul>Preferred Experience<ul><li>Experience building AI voice assistants or AI call agents.</li><li>Experience working with SaaS automation products.</li><li>Experience integrating AI systems with CRM platforms.</li><li>Experience in startup or fast-paced product environments.</li><li>Knowledge of AI security, privacy, and model governance.</li></ul>Soft Skills<ul><li>Strong analytical and problem-solving abilities.</li><li>Ability to design scalable automation architectures.</li><li>Excellent communication and collaboration skills. (MUST)</li><li>Ability to work independently during night shift operations.</li></ul>Work Environment<ul><li>Onsite role based in DHA Phase 2, Islamabad.</li><li>Night shift: 08:00 PM &ndash; 05:00 AM (Pakistan Standard Time).</li><li>Opportunity to work on cutting-edge AI automation and voice AI technologies.</li></ul>Work Location: In person

AI Engineer – AI Automation (Night Shift)

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description</h1>
Job Title: Expert Data Scientist &ndash; Demand Planning &amp; Forecasting (Machine Learning) 
Project: Demand Planning ML Models Initiative 
Role Level: Expert / Principal (Hands-on, Delivery-Focused) 
Employment Type: Full-Time 
Experience: 7+ Years 
Job Location: Remote 
Job Timing: Vietnam Time Zone<h2 class="jobSectionHeader">
Role Overview</h2>
We are seeking an Expert Data Scientist with deep hands-on experience in machine learning&ndash;based demand forecasting to support the ANZ Demand Planning ML Models initiative.
This role requires a senior practitioner capable of independently designing, developing, and delivering enterprise-grade demand forecasting models. The ideal candidate will own forecasting solutions end-to-end and help improve business decision-making through highly accurate predictive models.<h1 class="jobSectionHeader"> 
Key Responsibilities</h1><h2 class="jobSectionHeader">
Demand Planning &amp; Forecasting (Core Focus)</h2><ul><li>
Lead the design, development, and optimization of ML-based demand forecasting models.</li><li>
Work extensively with time-series datasets related to sales, demand, and supply planning.</li><li>
Apply and optimize statistical forecasting techniques and machine learning algorithms.</li><li>
Perform advanced feature engineering incorporating seasonality, trends, promotions, pricing, holidays, and external drivers.</li><li>
Conduct back-testing, validation, and scenario analysis to continuously improve forecast accuracy.</li></ul><h2 class="jobSectionHeader"> 
Data Science Leadership &amp; Delivery</h2><ul><li>
Own the end-to-end data science lifecycle, from data exploration and model development to deployment support.</li><li>
Define, monitor, and optimize forecasting KPIs including MAPE, RMSE, and MAE.</li><li>
Review, validate, and refine forecasting methodologies to ensure accuracy and scalability.</li><li>
Clearly communicate model logic, assumptions, and insights to business and executive stakeholders.</li></ul><h2 class="jobSectionHeader"> 
Collaboration &amp; Execution</h2><ul><li>
Collaborate closely with Data Engineers, Analytics teams, and business stakeholders to operationalize forecasting models.</li><li>
Support production deployment, monitoring, and model performance improvements.</li><li>
Drive knowledge sharing and best practices in forecasting and machine learning across teams.</li></ul><h1 class="jobSectionHeader"> 
Required Experience</h1><ul><li>
7+ years of experience in Data Science / Machine Learning.</li><li>
5+ years of hands-on experience in demand forecasting or demand planning using machine learning.</li><li>
Proven experience delivering production-grade or business-critical forecasting models.</li><li>
Strong experience working with enterprise-scale time-series datasets.</li></ul><h1 class="jobSectionHeader"> 
Technical Skills</h1><ul><li>
Advanced Python for Data Science and Machine Learning.</li><li>
Strong expertise in time-series forecasting techniques (statistical and ML-based).</li><li>
Experience with machine learning models such as regression, tree-based models, and ensemble methods.</li><li>
Advanced feature engineering for demand and planning datasets.</li><li>
Strong SQL and data manipulation capabilities.</li><li>
Experience with forecast evaluation metrics (MAPE, RMSE, MAE).</li></ul><h1 class="jobSectionHeader"> 
Soft Skills</h1><ul><li>
Strong ownership and accountability mindset.</li><li>
Excellent analytical and problem-solving capabilities.</li><li>
Ability to communicate complex technical concepts to non-technical stakeholders.</li><li>
Comfortable working in fast-paced environments with tight delivery timelines.</li></ul>
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Expert Data Scientist

Datamatics Technologies

<div>
 Job Description
 
 
 Job Title:
 
 Expert Data Scientist &ndash; Demand Planning &amp; Forecasting (Machine Learning)
 
 
 Project:
 
 &nbsp;Demand Planning ML Models Initiative
 
 
 Role Level:
 
 Expert / Principal (Hands-on, Delivery-Focused)
 
 
 Employment Type:
 
 Full-Time
 
 
 Experience:
 
 &nbsp; 7+ Years
 
 
 Job Location:
 
 Remote
 
 
 Job Timing:
 
 Vietnam Time Zone
 
 Role Overview
 
 We are seeking an
 
 Expert Data Scientist
 
 with deep hands-on experience in
 
 machine learning&ndash;based demand forecasting
 
 to support the
 
 ANZ Demand Planning ML Models initiative
 
 .
 
 
 This role requires a senior practitioner capable of
 
 independently designing, developing, and delivering enterprise-grade demand forecasting models
 
 . The ideal candidate will own forecasting solutions end-to-end and help improve business decision-making through highly accurate predictive models.
 
 
 Key ResponsibilitiesDemand Planning &amp; Forecasting (Core Focus)
 <ul>
 <li>
 
 Lead the
 
 design, development, and optimization of ML-based demand forecasting models
 
 .
 
 </li>
 <li>
 
 Work extensively with
 
 time-series datasets related to sales, demand, and supply planning
 
 .
 
 </li>
 <li>
 
 Apply and optimize
 
 statistical forecasting techniques and machine learning algorithms
 
 .
 
 </li>
 <li>
 
 Perform
 
 advanced feature engineering
 
 incorporating seasonality, trends, promotions, pricing, holidays, and external drivers.
 
 </li>
 <li>
 
 Conduct
 
 back-testing, validation, and scenario analysis
 
 to continuously improve forecast accuracy.
 
 
 </li>
 </ul>
 Data Science Leadership &amp; Delivery
 <ul>
 <li>
 
 Own the
 
 end-to-end data science lifecycle
 
 , from data exploration and model development to deployment support.
 
 </li>
 <li>
 
 Define, monitor, and optimize forecasting KPIs including
 
 MAPE, RMSE, and MAE
 
 .
 
 </li>
 <li>
 
 Review, validate, and refine forecasting methodologies to ensure accuracy and scalability.
 
 </li>
 <li>
 
 Clearly communicate
 
 model logic, assumptions, and insights
 
 to business and executive stakeholders.
 
 
 </li>
 </ul>
 Collaboration &amp; Execution
 <ul>
 <li>
 
 Collaborate closely with
 
 Data Engineers, Analytics teams, and business stakeholders
 
 to operationalize forecasting models.
 
 </li>
 <li>
 
 Support
 
 production deployment, monitoring, and model performance improvements
 
 .
 
 </li>
 <li>
 
 Drive
 
 knowledge sharing and best practices
 
 in forecasting and machine learning across teams.
 
 
 </li>
 </ul>
 Required Experience
 <ul>
 <li>
 
 
 7+ years
 
 of experience in
 
 Data Science / Machine Learning
 
 .
 
 </li>
 <li>
 
 
 5+ years of hands-on experience in demand forecasting or demand planning using machine learning
 
 .
 
 </li>
 <li>
 
 Proven experience delivering
 
 production-grade or business-critical forecasting models
 
 .
 
 </li>
 <li>
 
 Strong experience working with
 
 enterprise-scale time-series datasets
 
 .
 
 
 </li>
 </ul>
 Technical Skills
 <ul>
 <li>
 
 Advanced
 
 Python for Data Science and Machine Learning
 
 .
 
 </li>
 <li>
 
 Strong expertise in
 
 time-series forecasting techniques
 
 (statistical and ML-based).
 
 </li>
 <li>
 
 Experience with machine learning models such as
 
 regression, tree-based models, and ensemble methods
 
 .
 
 </li>
 <li>
 
 Advanced
 
 feature engineering for demand and planning datasets
 
 .
 
 </li>
 <li>
 
 Strong
 
 SQL and data manipulation
 
 capabilities.
 
 </li>
 <li>
 
 Experience with
 
 forecast evaluation metrics (MAPE, RMSE, MAE)
 
 .
 
 
 </li>
 </ul>
 Soft Skills
 <ul>
 <li>
 
 Strong
 
 ownership and accountability mindset
 
 .
 
 </li>
 <li>
 
 Excellent
 
 analytical and problem-solving capabilities
 
 .
 
 </li>
 <li>
 
 Ability to
 
 communicate complex technical concepts to non-technical stakeholders
 
 .
 
 </li>
 <li>
 
 Comfortable working in
 
 fast-paced environments with tight delivery timelines
 
 .
 
 </li>
 </ul>
</div>

NCRI

<div>We are seeking a Director of Data Science &amp; AI Enablement to lead the strategy, implementation, and adoption of Artificial Intelligence across the organization. This leadership role will drive innovation and operational excellence by enabling data-driven decision-making, advancing AI capabilities, and delivering hyper-personalized financial services for customers.
The Director will oversee the AI strategy across four key pillars:<ul><li>
AI for Everyone: Improving employee productivity through AI tools</li><li>
AI for Citizen Innovators: Enabling teams to build custom automations</li><li>
AI for Builders: Accelerating engineering through AI-powered development</li><li>
AI for Customers: Delivering AI-powered products and personalized customer experiences</li></ul>
This role leads the Data Science &amp; AI Enablement team, manages the AI model lifecycle, and partners with business and technology leaders to embed AI capabilities across the organization.<h2 class="jobSectionHeader">
Key Responsibilities</h2><h3 class="jobSectionHeader">
AI Strategy &amp; Leadership</h3><ul><li>
Define and execute the enterprise AI strategy aligned with organizational goals.</li><li>
Lead the Data Science &amp; AI Enablement team, ensuring operational reliability of deployed AI and LLM models.</li><li>
Direct the full AI/ML lifecycle including model selection, fine-tuning, prompt engineering, RAG design, benchmarking, and evaluation.</li><li>
Establish and lead the AI Center of Excellence (COE) and AI governance frameworks.</li><li>
Partner with Enterprise Architecture, Cybersecurity, and Technology leadership to ensure compliance, security, and scalability of AI systems.</li></ul><h3 class="jobSectionHeader">
AI Innovation &amp; Business Impact</h3><ul><li>
Identify and deliver AI opportunities across business units to improve productivity, operations, and customer experience.</li><li>
Collaborate with product teams to develop AI-driven products and insights.</li><li>
Build advanced machine learning models leveraging large datasets (transactional, marketing, and behavioral data).</li><li>
Translate complex analytical insights into business strategies and measurable outcomes.</li></ul><h3 class="jobSectionHeader">
Cross-Functional Collaboration</h3><ul><li>
Work with engineering teams to productionize machine learning solutions.</li><li>
Partner with stakeholders across product, marketing, operations, customer support, and technology to solve business challenges with AI.</li><li>
Promote a data-driven culture through internal training, workshops, and thought leadership.</li></ul><h3 class="jobSectionHeader"> 
People Leadership</h3><ul><li>
Lead and mentor a high-performing data science and AI team.</li><li>
Align team goals with organizational strategy and forecast future resourcing needs.</li><li>
Foster professional growth and ensure knowledge sharing across teams.</li><li>
Remove operational blockers and enable teams with the tools and processes needed for success.</li></ul><h2 class="jobSectionHeader"> 
Qualifications</h2><ul><li>
Master&rsquo;s or PhD in Mathematics, Statistics, Computer Science, Actuarial Science, or related field</li><li>
Strong background in machine learning, statistics, probability, and algorithms</li><li>
Experience with Python, Scala, R, SQL and machine learning frameworks such as PyTorch, Keras, Scikit-learn, or SparkML</li><li>
Familiarity with cloud platforms (Google Cloud preferred, AWS, Azure)</li><li>
Experience with data visualization tools (Power BI or similar)</li><li>
Proven leadership experience managing data science or AI teams</li><li>
Experience in financial services, brokerage, or retail banking preferred</li><li>
Strong ability to communicate complex technical concepts to business stakeholders</li></ul></div>

Director/Manager, Data Science & AI Enablement

Zones IT Solutions

<div>
 
 Description
 
 
 
 Company Overview:
 
 
 When it comes to IT solution providers, there are a lot of choices. But when it comes to providers with innovative and differentiating end-to-end service offerings, there&rsquo;s really only one: Zones &ndash; First Choice for IT.TM
 
 
 Zones is a Global Solution Provider of end-to-end IT solutions with an unmatched supply chain. Positioned to be the IT partner you need, Zones, a Minority Business Enterprise (MBE) in business for over 35 years, specializes in Digital Workplace, Cloud &amp; Data Center, Networking, Security, and Managed/Professional/Staffing services. Operating in more than 120 countries, leveraging a robust portfolio, and utilizing the highest certification levels from key partners, including Microsoft, Apple, Cisco, Lenovo, Adobe, and more, Zones has mastered the science of building digital infrastructures that change the way business does business ensuring whatever they need, they can Consider IT Done. Follow Zones, LLC on Twitter @Zones, and LinkedIn and Facebook.
 
 
 Position Overview
 
 
 The Data Engineer will build and manage the end-to-end data ecosystem across pipelines, transformations, modeling, quality, and monitoring in an Azure-first environment. As the data engineer for the team, this role requires strong technical depth, full ownership, and the ability to support both operational and analytical data needs. The ideal candidate brings hands-on expertise with Azure Data Factory, Azure Databricks, Azure SQL, and integrations with APIs and Azure services, and is comfortable managing data pipelines, ensuring data quality, enabling security, and supporting Power BI datasets to deliver reliable and well-structured data to the business.
 
 
 
 What You&rsquo;ll Do As The Data Engineer
 
 
 
 Employees employed in the role of Data Engineer shall be required to apply their independent mind and demonstrate intellectual abilities in their decision-making.
 
 
 The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description is not intended to be a comprehensive list of the duties and responsibilities of the position, and the duties and responsibilities may change without notice.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Build and maintain data pipelines using Azure Data Factory for batch and incremental loads.
 </li>
 <li>
 Develop transformation workflows in Azure Databricks.
 </li>
 <li>
 Design and optimize Azure SQL schemas, tables, queries, indexes, and stored procedures.
 </li>
 <li>
 Integrate data from APIs, Logic Apps, and Function Apps, ensuring accuracy and consistency.
 </li>
 <li>
 Implement data quality, validation, and monitoring, with alerts and health checks for pipelines.
 </li>
 <li>
 Ensure data security and governance, including PII handling, access policies, and Key Vault.
 </li>
 <li>
 Collaborate with application and integration engineers on API-driven and event-driven data requirements.
 </li>
 <li>
 Support Power BI at a basic level (datasets, model optimization, refresh schedules)
 
 
 </li>
 </ul>
 
 What You Will Bring To The Team
 
 
 
 <ul>
 <li>
 Around 5 years of hands-on experience as a Data Engineer with end-to-end ownership of data pipelines and models.
 </li>
 <li>
 Strong expertise in:
 </li>
 <ul>
 <li>
 Azure Data Factory (ADF)
 </li>
 <li>
 Azure Databricks
 </li>
 <li>
 Azure SQL
 </li>
 </ul>
 <li>
 Solid understanding of ETL/ELT patterns, data modeling, and orchestration.
 </li>
 <li>
 Comfortable integrating with APIs, Logic Apps, and Function Apps.
 </li>
 <li>
 Working knowledge of Power BI datasets and refresh management.
 </li>
 <li>
 Clear communication skills and the ability to work independently and cross-functionally.
 
 </li>
 </ul>
 Zones offers a comprehensive Benefits package
 
 
 At Zones, we are committed to fostering an inclusive and diverse workplace where every team member is valued and supported. We offer life insurance, optional health insurance, EOBI, and a voluntary pension scheme in line with Company policy. Employees also enjoy additional perks such as Complimentary meals, and access to our in-house gym.
 
 
 We take pride in being an equal opportunity employer and remain dedicated to maintaining a workplace free from discrimination of any kind. If you are passionate about driving innovation in IT, sales, engineering, or operations, Zones provides a dynamic and collaborative environment to help you grow your career.
 
 
 All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.
 
 
 Job Timings: 8:00 PM to 5:00 AM (Pakistan Time)
 
 
</div>

Data Engineer

KIPS CSS | Global Age

Global Age Trainings | KIPS CSS is looking for an &ldquo;AI Course Instructor&rdquo; with strong technical knowledge and practical expertise in the field. The ideal candidate should possess the following skills:<ul><li>Strong understanding of Artificial Intelligence concepts, Machine Learning, and Generative AI tools.</li><li>Expertise in AI applications, prompt engineering, and AI-powered productivity tools.</li><li>Hands-on experience with Python for AI/ML (preferred) and familiarity with AI platforms and frameworks.</li><li>Knowledge of data analysis, AI automation tools, and emerging AI technologies.</li><li>Ability to deliver training in an interactive and engaging manner, simplifying complex AI concepts for learners.</li><li>Capability to research latest AI developments and present them clearly to students.</li></ul>We are seeking a supportive and enthusiastic instructor who can effectively deliver course content according to the prescribed training plan, guide students in practical learning, and help them understand real-world AI applications.Location: Lahore Degree: HEC Recognized Degree Experience: Maximum 5 years technical (Teaching experience will be a plus)Job Type: Part-timeJob Type: Part-timePay: From Rs30,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Artificial Intelligence: 3 years (Required)</li></ul>Willingness to travel:<ul><li>75% (Required)</li></ul>Work Location: In person

Artificial Intelligence Instructor

Explore 13+ Engineer machine in Islamabad this April. Find roles across top companies and apply now to boost your career.

13 engineer machine jobs In Islamabad

Engineer Machine

AI Engineer – AI Automation (Night Shift)

Expert Data Scientist

Expert Data Scientist

Director/Manager, Data Science & AI Enablement

Data Engineer

Artificial Intelligence Instructor