ai ml specialist

QVISE (Quality Vertex Integrated System Engineering) Pvt. Ltd.

We are seeking an experienced AI/ML Specialist to implement our technological vision, work with a dynamic team of Engineers and translate complex research concepts into impactful business solutions.Key Responsibilities:<ul><li>Implement comprehensive ML/ DL/ Gen AI research and development strategies</li><li>Work with a high-performing team of design and development engineers for ML/ DL/ Gen AI development</li><li>Design complex ML/ DL/ Gen AI, including Large Language Models solution architectures</li><li>Identify and prioritize emerging AI technologies</li><li>Conduct advanced research across multiple AI domains</li><li>Collaborate with cross-functional teams to develop and integrate AI solutions</li><li>Develop and maintain robust AI development methodologies</li></ul>Requirements:<ul><li>Master&rsquo;s/ Bachelor&rsquo;s degree in Computer Science, Machine Learning, Artificial Intelligence or related technical field</li><li>1-2 years of progressive ML/ DL/ Gen AI experience</li><li>Proven track record of successful AI project development/ implementations</li><li>Demonstrated ability to translate research concepts into practical solutions</li></ul>Technical Skills:<ul><li>Understanding of advanced ML algorithm and having adequate knowledge of NLP, CV and Robotics fundamentals</li><li>Cross-domain AI implementation/ integration</li><li>Strong programming and technical communication skills</li><li>Experience with multiple AI/ML frameworks and interested in emerging AI technologies</li><li>Ability to mentor and develop technical teams</li></ul>Recruitment Criteria:<ul><li>Innovative thinking</li><li>Adaptability and continuous learning</li><li>Passion for technological innovation</li></ul>To apply, please submit your resume to &quot;career@qvise.com&quot;, please mention job title in subject.Job Type: Full-timePay: Rs50,000.00 - Rs200,000.00 per monthWork Location: In person

AI/ML Specialist

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

Goodfaith Staffing

Job Opening: Full Stack Developer (AI-Focused) Company: Dakia.ai Experience: 3+ Years Location: On-site Type: Full-TimeAbout Dakia.ai Dakia.ai empowers small and medium-sized businesses by unifying multiple communication channels into a single, AI-powered dashboard. The platform enhances customer engagement, delivers advanced analytics, and provides actionable insights that enable SMBs to make timely and growth-focused decisions. Dakia&rsquo;s AI-driven sales and marketing engine gives business owners the capability of a skilled sales development representative and an experienced market analyst&mdash;transforming how SMBs manage communication, sales, and marketing.Role Overview Dakia.ai is looking for a Full Stack Developer with 3+ years of experience to build and scale intelligent, AI-driven products. The role requires strong expertise in React and PHP Laravel, along with hands-on experience in AI/ML integrations, bot development, and automation.Key Responsibilities<ul><li>Develop and maintain full-stack applications using React and Laravel.</li><li>Build and integrate AI-powered bots, conversational workflows, and automation systems.</li><li>Work with APIs, databases, and third-party integrations.</li><li>Collaborate with cross-functional teams to deliver scalable solutions.</li><li>Ensure performance, security, and code quality.</li></ul>Preferred Skills &amp; Qualifications<ul><li>3+ years of full-stack development experience.</li><li>Proficiency in React.js and PHP Laravel.</li><li>Experience with AI/ML models, chatbot or voice bot development.</li><li>Knowledge of agentic frameworks (AutoGen, LangChain) and n8n automation.</li><li>Experience with REST APIs, databases, and version control (Git).</li></ul>Preferred Qualities<ul><li>Strong problem-solving and communication skills.</li><li>Ability to work in a fast-paced startup environment.</li><li>Interest in AI, automation, and intelligent systems.</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs200,000.00 per monthEducation:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>Full Stack Development: 3 years (Preferred)</li></ul>Work Location: In person

Full Stack Developer

Vyro

<div><h3 class="jobSectionHeader">Job Title: AI Video Prompt Specialist</h3>
Department: Creative
Location: On-Site (H12, NSTP, Islamabad)<h3 class="jobSectionHeader">
About VYRO</h3>
VVyro is an AI-first creative technology company empowering creators worldwide. With 5M+ active users every month and 20+ AI-powered apps, we help millions create, edit, and design across images, videos, and digital media&mdash;faster and more intuitively.
ImagineArt, Vyro&rsquo;s flagship generative AI platform, enables artists and designers to create high-quality visual art from simple text prompts, making creativity more accessible and limitless.
Powered by AI and Machine Learning, Vyro&rsquo;s products remove friction from the creative process while unlocking new possibilities for creators at every level.
We are an 8-figure, fully bootstrapped company built by a focused team of builders&mdash;Vyronauts&mdash;who move fast, take ownership, and build with long-term impact.
We&rsquo;re shaping the future of AI-powered creativity&mdash;and we&rsquo;re just getting started.
Job Summary
As an AI Prompt Engineer at Imagine Art, you will be at the intersection of technology and creativity, designing generative AI workflows that bring cinematic ideas to life. You will work on creating high-quality visual, audio, and textual content, helping our team push the boundaries of digital storytelling. This role is perfect for someone with a strong technical background and a passion for filmmaking, looking to translate creative vision into cutting-edge generative outputs.
Requirements<ul><li>
4+ years of experience in Prompt Engineering for generative AI.</li><li>
Hands-on experience with generative models including text-to-text, text-to-image, text-to-audio, video-to-video, video-to-audio, image-to-video, and others.</li><li>
Deep understanding of the AI model landscape and emerging trends.</li><li>
Practical experience in training Low-Rank Adaptation (LoRA) models.</li><li>
Experience in building and configuring agents based on LLMs and other generative models.</li><li>
Proven expertise in ComfyUI, including creating custom nodes and advanced pipelines.</li><li>
Background in filmmaking (production, direction, or post-production experience preferred) to ensure outputs meet cinematic storytelling standards.</li><li>
Strong adaptability and eagerness to learn new technologies quickly.</li><li>
Excellent communication and collaboration skills across research, engineering, and creative teams.</li><li>
Willingness to work in a fast-paced, high-intensity startup environment (80+ hours per week).</li><li>
Intuitive &ldquo;vibe coding&rdquo; mindset to translate creative ideas into generative outputs</li></ul><h3 class="jobSectionHeader">
Responsibilities</h3><ul><li>
Develop, optimize, and maintain complex generative content pipelines across images, video, audio, and text.</li><li>
Configure parameters for generative models to maximize quality, efficiency, and artistic impact.</li><li>
Build advanced pipelines in ComfyUI, including developing custom nodes for specific creative workflows.</li><li>
Troubleshoot and resolve issues across generative processes quickly and effectively.</li><li>
Collaborate closely with ML, product, and creative teams to integrate new features and enhancements.</li><li>
Apply expertise in filmmaking to guide generative outputs for cinematic quality and narrative impact.</li><li>
Continuously optimize existing workflows to improve efficiency and output quality.</li></ul><h3 class="jobSectionHeader">
Benefits</h3><ul><li>
Quarterly Bonuses</li><li>
Competitive compensation and comprehensive benefits package</li><li>
Medical Insurance (IPD/OPD)</li><li>
Company Sponsored Lunch</li><li>
Free Platform Subscriptions</li><li>
Yearly Performance-Based Increments</li><li>
Paid Leaves</li><li>
EOBI</li></ul><h3 class="jobSectionHeader">
Company Culture</h3><ul><li>
Impact: Opportunity to work on innovative AI products like ImagineArt, shaping the future of creativity and user interaction.</li><li>
Team: Be part of a passionate, fast-moving team that values innovation and data-driven decisions.</li><li>
Growth: A culture where learning, growth, and experimenting with new ideas are deeply encouraged.</li></ul></div>

AI Video Prompt Specialist

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