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automation engineer

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electrical engineer

ai engineer

Tech Solutions Pro

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

AI Engineer

Taraki

<div>
 This Job is posted by Taraki on behalf of its client,
 
 Future Proof Labs
 
 . Candidates can apply here and also check out more jobs directly on our website.
 
 
 
 JOB DETAILS
 
 
 
 
 About Futureproof Labs
 
 
 
 Futureproof Labs is an AI-native product studio building human-first AI products designed for real-world speed and impact. Youll be joining a team focused on transforming raw AI capability into polished, commercially deployable products.
 
 
 
 Role Summary
 
 
 
 We are seeking a Mid&ndash;Senior AI Engineer focused on voice / speech to design, build, and maintain voice-based components (speech-to-text, text-to-speech, voice interface) for Futureproof Labs AI products. This is a focused, non-generalist role: you will specialize in voice-interaction and speech-AI, not full-stack across everything.
 
 
 We are looking to add the absolute best engineering talent to bolster our team as we build AI products for the US and Canadian markets. You'll get to work with experienced and established founders in North America as you build cutting-edge solutions that can have a global impact.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build and optimize speech-to-text (STT) and text-to-speech (TTS) capabilities for real-time / near-real-time use.
 </li>
 <li>
 Integrate voice I/O with existing AI backend (NLP / LLM-driven logic).
 </li>
 <li>
 Design and implement voice-based user interactions / flows (voice queries, commands, prompts, clarifications).
 </li>
 <li>
 Handle typical real-world speech challenges noise, accents/dialects, latency, error recovery, fallback to text if needed.
 </li>
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 Ensure proper handling of voice data (privacy, security, consent), especially if audio or transcripts are stored or processed.
 </li>
 <li>
 Write tests, monitoring, logging for voice pipelines track performance, accuracy, latency, error rates.
 </li>
 <li>
 Iterate on voice modules based on usage data and feedback; continuously improve performance and usability.
 
 
 
 </li>
 </ul>
 
 Required Experience &amp; Skills
 
 
 
 <ul>
 <li>
 At least 3&ndash;5 years of experience in speech / voice engineering or related ML/AI roles.
 </li>
 <li>
 Strong proficiency in backend programming (e.g. Python) for integrating speech modules with AI logic.
 </li>
 <li>
 Understanding of real-time processing, audio pipelines, latency optimization &mdash; making voice interactions smooth and responsive.
 </li>
 <li>
 Ability to integrate voice front-end with AI/LLM-based backend systems.
 </li>
 <li>
 Good collaboration and communication skills to work with product, design, and backend/ML teams.
 
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with conversational AI / dialog flows (handling multi-turn conversation, context retention).
 </li>
 <li>
 Exposure to multilingual / accented speech, or handling dialect/ accent variability.
 </li>
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 Audio pre-processing skills (noise reduction, normalization), or familiarity with speech-domain challenges.
 </li>
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 Previous experience building voice-based tools &mdash; voice assistants, voice-driven workflows, or voice-enabled enterprise tools.
 
 </li>
 </ul>
</div>

AI Engineer (Voice) - Python - Future Proof Labs

WEBDOC Medical Complex Kahuta

Location: Islamabad / Lahore / Karachi (Hybrid)About the RoleWe&rsquo;re building outbound Urdu-speaking voice agents for insurance campaigns using OpenAI Realtime APIs. You will design, develop, and optimize the full conversational layer including scripts, prompts, voice flows, and integrations with our SIP-based dialer. Your job is to make the AI caller sound natural, accurate, and aligned with our insurance products.Key ResponsibilitiesBuild and manage AI voice agents using OpenAI Realtime APIs.Design conversation flows, prompts, guardrails, and response logic for Urdu-language insurance calls.Integrate voice agents with SIP, outbound dialers, and internal services (with support from our network/App teams).Convert product documents into structured knowledge the AI can use safely.Implement lightweight retrieval/FAQ systems where needed.Test, tune, and improve call quality, accuracy, and customer experience.Monitor performance: call summaries, drop reasons, customer questions, and improvement areas.Work closely with App, Web, and Network teams to support deployment and scaling.RequirementsExperience with LLM-based applications (OpenAI, Azure OpenAI, or equivalent).Strong understanding of prompt design, conversation design, and API integrations.Hands-on knowledge of Python/Node.js for building AI workflows.Familiarity with SIP/RTP/telephony flows is a plus (network team will support).Ability to work with Urdu conversational data and simplify customer communication.Comfort working with insurance or fintech products is a plus.Why Join?You&rsquo;ll be leading the development of Pakistan&rsquo;s first large-scale outbound AI insurance calling stack, reaching millions of customers and shaping how digital insurance is delivered.Job Type: Full-timeApplication Question(s):<ul><li>Do you have experience with Voice Automation &amp; Conversational AI?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Artificial Intelligence: 2 years (Required)</li></ul>Work Location: In person

AI Engineer (Voice AI & Conversational Automation)

HR Ways

About the job AI/ML EngineerAbout ClientFastest-growing construction consultancy having 500+ employees is hiring AI/ML Engineer﻿.﻿About the RoleWe are seeking a highly skilled and motivated AI/ML Engineer to join our team. The ideal candidate will have a strong foundation in machine learning, deep learning, and data engineering, with the ability to design, build, and deploy AI solutions that solve complex real-world problems. You will collaborate closely with software engineers, data scientists, and product managers to integrate AI models into production systems and continuously improve their performance.﻿﻿Key Responsibilities﻿Model Development &amp; Research<ul><li>﻿Design, train, and fine-tune machine learning and deep learning models for tasks such as classification, regression, NLP, computer vision, and generative AI.</li><li>Research and evaluate emerging AI/ML frameworks, architectures, and techniques to keep our systems cutting-edge</li></ul>﻿﻿﻿Campaign Management &amp; Execution:<ul><li>﻿﻿Collaborate with account management, marketing, design, and content teams to ensure seamless campaign execution.</li><li>Review and approve creative deliverables, ensuring high-quality outputs that meet client</li></ul>expectations.<ul><li>Monitor campaign performance and adapt creative strategies to optimize results.﻿</li></ul>Data Engineering﻿<ul><li>Collect, preprocess, clean, and transform structured and unstructured datasets (text, images, audio, PDFs, etc.).</li><li>Implement feature engineering, dimensionality reduction, and data augmentation techniques﻿</li></ul>Deployment &amp; Scaling<ul><li>Package and deploy models into production environments (e.g., using FastAPI, Flask, TensorFlow Serving, TorchServe, or Kubernetes).</li><li>Ensure scalability, performance, and security of deployed AI solutions.</li></ul>﻿﻿MLOps &amp; Automation<ul><li>Implement CI/CD pipelines for ML workflows (training, testing, deployment).</li><li>Use tools like MLflow, DVC, Airflow, or Kubeflow to manage experiments, track models, and orchestrate workflows.</li></ul>Collaboration<ul><li>﻿﻿Work with cross-functional teams to understand requirements and deliver AI-driven solutions.</li><li>Document designs, processes, and results for both technical and non-technical stakeholders.﻿</li></ul>Required ﻿Qualifications<ul><li>Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field. (PhD is a plus.)</li><li>﻿Solid programming skills in Python (experience with libraries like TensorFlow, PyTorch, Scikit-learn, Hugging Face).</li><li>Strong understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and statistical modeling.</li><li>Proficiency in handling large datasets, SQL/NoSQL databases, and data pipelines.</li><li>Experience with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).</li><li>Knowledge of version control (Git) and collaboration tools (Bitbucket, GitHub, GitLab).</li></ul>Preferred Skills<ul><li>﻿﻿Experience in NLP (transformers, LLM fine-tuning), Computer Vision, or Generative AI.</li><li>Familiarity with_ vector databases (Pinecone, Weaviate, pgvector, Chroma) for RAG pipelines._</li><li>Understanding of_ MLOps best practices (CI/CD for ML, model monitoring, drift detection)._</li><li>Strong mathematical foundation (linear algebra, probability, optimization).</li><li>Prior experience in deploying_ end-to-end AI applications in real-world scenarios._﻿</li></ul>Soft Skills<ul><li>Strong problem-solving and analytical mindset.</li><li>Ability to work independently and in a collaborative environment.</li><li>Excellent communication skills to explain complex AI/ML concepts to non-technical teams.</li><li>Continuous learning attitude to stay updated with the latest advancements in AI/ML﻿</li></ul>Other Details:Work Type: Onsite ﻿Working Days: Monday to Friday ﻿_Shift_: Night shift (2am-11pm) ﻿Experience: 3+ years ﻿Employment Type: Full-time ﻿Location: ﻿RawalpindiAbout HR Ways:&quot;HR Ways is an Award winning Technical Recruitment Firm helping software houses and IT Product companies internationally and locally to find IT Talent. HR Ways is engaged by 300+ Employers worldwide ranging from worlds biggest SaaS Companies to most competitive Startups. We have entities in Dubai, Canada, US, UK, Pakistan, India, Saudi Arabia, Portugal, Brazil and other parts of the world. Join our WhatsApp Channel https://shorturl.at/983az to stay updated or visit www.hrways.co to know more.&quot;Job Type: Full-timeWork Location: In person

Mechanical Engineer Designs

NICON Group of Colleges

<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field.</li><li>2 years of hands-on experience working as a data scientist or in a related role (e.g., data analyst, machine learning engineer, or AI specialist).</li><li>Certified Data Scientist (CDS) or other related certifications from recognized institutions.</li><li>Certifications in machine learning, big data, AI, or deep learning (e.g., from Coursera, edX, Google, IBM, or Microsoft).</li><li>It's a commission-based job.</li></ul>Skills &amp; Competencies:<ul><li>Proficiency in data manipulation using libraries like Pandas, NumPy, Matplotlib, and Seaborn.</li><li>In-depth understanding of machine learning algorithms, including supervised and unsupervised learning (e.g., regression, classification, clustering, neural networks).</li><li>Experience with deep learning, natural language processing (NLP), or reinforcement learning (depending on the level of courses).</li><li>Strong ability to simplify complex concepts and explain technical topics clearly to learners of various skill levels.</li></ul>Key Responsibilities:<ul><li>Course Delivery and Training</li><li>Curriculum and Content Development</li><li>Student Performance Management</li><li>Student Performance Management</li></ul>Job Type: Full-timeEducation:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>Training: 2 years (Preferred)</li></ul>Location:<ul><li>Rawalpindi (Preferred)</li></ul>Work Location: In person

Data Science Trainer

Cloud Rexpo Pvt. Ltd.

Location: Bahria Town Phase 7, Rawalpindi.Day Shift, On-SIteSeeking an AI Teacher with strong hands-on expertise in automation and AI toolkits to train students and professionals.Key Responsibilities:<ul><li>Teach AI fundamentals and practical tools (ChatGPT, Claude, Midjourney, etc.).</li><li>Train students on automation platforms: Make.com, n8n, Zapier&mdash;workflow building, integrations, real use cases.</li><li>Teach AI development basics using LangChain and agent frameworks.</li><li>Deliver project-based learning: automations, bots, AI workflows.</li><li>Provide student support and troubleshoot technical issues.</li><li>Prepare and update course content.</li></ul>Requirements :<ul><li>Bachelor&rsquo;s/Master&rsquo;s in CS, AI, Data Science, or related field.</li><li>Strong command over AI tools, prompt engineering, and workflow automation.</li><li>Practical experience with Make.com, n8n, Zapier, LangChain (must).</li><li>Ability to explain technical concepts clearly.</li><li>Prior teaching/training experience preferred.</li></ul>Preferred Skills:<ul><li>Understanding of ML/NLP basics.</li><li>Experience with LMS platforms.</li><li>Ability to create real-life automation and AI assistant projects.</li></ul>Job Type: Full-timePay: Up to Rs100,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI tools, prompt engineering, and Workflow Automation: 1 year (Required)</li></ul>Language:<ul><li>English (Preferred)</li></ul>Location:<ul><li>Rawalpindi (Required)</li></ul>Work Location: In person

AI Teacher / AI Learning Instructor (On-SIte, Day Shift)

Nook Office Solutions

Job Overview This is a full-time on-site role for a Product Manager - Artificial Intelligence, located in Islamabad. You will play a key role in ensuring the timely and high-quality delivery of AI-driven solutions while continuously improving product performance through analytics, user feedback, and innovation.Key Responsibilities:<ul><li>Define the vision, strategy, and roadmap for AI-based products.</li><li>Collaborate with data scientists, engineers, designers, and business stakeholders to build innovative AI solutions.</li><li>Translate customer and market needs into actionable features and products.</li><li>Lead end-to-end product lifecycle: ideation, prioritization, development, launch, and iteration.</li><li>Analyze data to measure the success of features and guide product decisions.</li><li>Stay current with AI trends, technologies, and applications relevant to our industry.</li><li>Ensure ethical use of AI technologies and data handling.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, AI/ML, or a related field.</li><li>5+ years of product management experience, preferably in AI or data-driven products.</li><li>Strong understanding of AI/ML concepts, NLP, computer vision, or large language models (LLMs).</li><li>Experience working with cross-functional technical teams.</li><li>Strong analytical, communication, and stakeholder management skills.</li><li>Prior experience in agile/scrum product development environments.</li></ul>Preferred Qualifications:<ul><li>Experience launching AI-powered SaaS or enterprise solutions.</li><li>Familiarity with tools like JIRA, Figma, Notion, and analytics platforms.</li><li>Background in data science or software development is a plus.</li></ul>Job Type: Full-timeWork Location: In person

Product Manager - Artificial Intelligence

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