junior ai engineer

Provox Global Solutions

<p><b>1. Application Development</b></p><ul><li>Develop, enhance, and maintain <b>Dialogflow / CCAI</b> solutions, including both structured Dialogflow agents and AI-enabled playbooks.</li><li>Design and implement backend services using <b>Node.js</b>, REST APIs, SQL, and JSON.</li><li>Develop frontend and middleware components using <b>HTML, JavaScript</b>, and UI/UX best practices.</li><li>Manage shared global variables and objects in <b>high-volume, high-concurrency applications</b>.</li><li>Implement secure authentication mechanisms including <b>JWT and OAuth</b>.</li></ul><p><b>2. Cloud &amp; DevOps</b></p><ul><li>Configure, manage, and optimize <b>GCP and Dialogflow environments</b>, including environment variables and migration strategies.</li><li>Set up and maintain <b>databases (MySQL / DBMS)</b> and integrate with reporting and analytics tools (e.g., Looker).</li><li>Implement and manage <b>CI/CD pipelines</b> using GitHub (or similar), ensuring modular, multi-developer friendly codebases.</li></ul><p><b>3. Testing &amp; Quality Assurance</b></p><ul><li>Monitor system behavior, errors, and performance metrics to drive <b>continuous improvement</b>.</li><li>Design and execute <b>automated testing</b> for web (OLS), backend, and voice-based systems, including regression and stress testing.</li><li>Implement Virtual Assistant testing using phone dialing appliances and recorded voice inputs.</li><li>Monitor and support integrations with third-party platforms such as <b>Dentrix, EzText, and phone number lookup services</b>.</li></ul><p><b>4. Business Operations &amp; Call Center Quality</b></p><ul><li>Analyze call flows to identify <b>no-match phrases, disconnects, and dead-end conversations</b>, and tune Dialog flow accordingly.</li><li>Implement monitoring solutions to detect and reduce <b>AI hallucinations</b>, ensuring grounded, coherent, and customer-friendly conversations.</li><li>Continuously improve <b>Virtual Assistant (VA)</b> performance to meet call center quality and operational standards.</li></ul><p><b>Required Skills &amp; Qualifications</b></p><ul><li>Proven experience working in <b>Google Cloud Platform (GCP)</b> environments.</li><li>Strong expertise in <b>Dialogflow / CCAI</b> development and maintenance.</li><li>Proficiency in <b>Node.js</b>, REST APIs, SQL, and JSON.</li><li>Strong frontend development skills using <b>HTML and JavaScript</b>.</li><li>Experience managing secure, high-concurrency applications.</li><li>Hands-on experience with <b>JWT and OAuth authentication</b>.</li></ul><p><b>Preferred / Bonus Skills</b></p><ul><li>Experience with <b>AI / Gemini prompting</b> and <b>Vertex AI API integrations</b>, including fine-tuning models for Virtual Assistants or contact center support.</li><li>Experience building, customizing, or integrating <b>Speech-to-Text (STT)</b> models or third-party STT engines.</li></ul><p>Job Type: Full-time</p><p>Ability to commute/relocate:</p><ul><li>Islamabad: Reliably commute or planning to relocate before starting work (Preferred)</li></ul><p>Application Question(s):</p><ul><li>Can you easily commute  to Naval Anchorage Islamabad?</li><li>This is an onsite role from 07PM to 04AM from Monday to Friday. Can you manage work schedule?</li></ul><p>Location:</p><ul><li>Islamabad (Required)</li></ul><p>Work Location: In person</p>

Junior AI Engineer

NUST

<div></div><p><div><div><div><div><div><div><div><div>Last Date: Sunday, January 4, 2026<br>
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<div></div><div><div><div><div><div><div>Job Detail<br>
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<div></div><div><div><div><div><div><div>Job Ref #: </div><div>Job/5985/12/23/2025
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<div><div>Age Limit: </div><div>25<li></li>45
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<div><div>Experience:
</div></div><br>
<div></div><div><div>Posted Date: </div><div>Tuesday, December 23, 2025
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<div><div>Salary: </div><div>Market Competitive<br>
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<div><div><div><div><div><div><div><b>Job Description:
</b></div></div><br>
<div><div><div><b>Qualification :</b></div><div><br>
</div><ul><li>BS degree in Computer Science, Software Engineering, or Computer Engineering from an HEC recognized University.</li></ul><div><br>
</div><div><b>Experience:</b></div><div><br>
</div><ul><li>Hands-on experience with databases (writing queries, designing basic schemas, working with ORMs or database clients).</li></ul>
<ul><li>Practical experience in prompt engineering, and using AI coding tools for software development (for example Cursor, Claude Coding).</li></ul>
<ul><li>Experience using Git (commits, branches, pull requests, resolving merge conflicts).</li></ul>
<ul><li>Experience with Python and at least one backend framework (FastAPI, Django, Flask) or Node.js.</li></ul><div><br>
</div><div><b>Key Responsibilities:</b></div><div><br>
</div><ul><li>Assist in building and maintaining AI-powered applications, APIs, and internal tools.</li></ul>
<ul><li>Implement features using clean, maintainable code following standard software engineering practices.</li></ul>
<ul><li>Work with databases to store, query, and manage application data (SQL and/or NoSQL).</li></ul>
<ul><li>Support LLM-based workflows, including prompt engineering, tool usage, and basic agentic patterns under guidance.</li></ul>
<ul><li>Develop and iterate quickly using AI-assisted coding tools (Cursor, Claude Code) while following team standards and code review practices.</li></ul>
<ul><li>Write unit tests, debug issues, and improve performance and reliability.</li></ul>
<ul><li>Use Git for version control, branching, pull requests, and collaboration.</li></ul><div><br>
</div><div><div><b>Knowledge/Skills/Abilities:</b></div><div><br>
<b>
</b></div><ul><li>Projects involving LLM APIs, RAG, chatbots, or simple agent workflows.</li></ul>
<ul><li>Familiarity with Docker, Linux, and basic deployment concepts.</li></ul>
<ul><li>Exposure to REST APIs, authentication, and logging/monitoring basics.</li></ul>
<ul><li>Familiarity with OOP, data structures, and common software engineering practices (modular design, debugging, testing).</li></ul>
<ul><li>Basic understanding of LLMs and agentic AI concepts (tools, multi-step workflows, prompt structure).</li></ul></div><br>
<div><br>
</div><div><b>Terms &amp; Conditions:</b></div><div><br>
</div><ul><li>Candidates are required to attach scanned copies of their documents (Academics /Professional).</li></ul>
<ul><li>Last education certificate/degree must be attested/verified by HEC.</li></ul><div><br>
</div><div><b>Candidates may be considered ineligible for the post due to any of the following reasons:</b></div><div><br>
</div><ul><li>3rd Div in academic career / weak academic profile.</li></ul>
<ul><li>NUST employees with less than one year of service with NUST and / or absence of NOC from Head of Institution.</li></ul>
<ul><li>In process of pursuing a required degree.</li></ul>
<ul><li>Medically unfit.</li></ul>
<ul><li>Only selected candidates will be contacted and issued offer letter.</li></ul>
<ul><li>Candidates serving in Govt departments, Armed forces may apply through their respective parent department / organizations.</li></ul>
<ul><li>Late / incomplete applications will be ignored.</li></ul>
<ul><li>Only short-listed candidates will be considered / called for test / interview and no TA / DA will be admissible.</li></ul>
<ul><li><b>NUST reserves the right to cancel, modify / terminate the recruitment programme due to any reason, without notice, at any time.</b></li></ul></div></div></div></div></div></div></div></div></div></div></div></div></div></p><div></div>

Python Technologies

<p><b>Location:</b> DHA Phase 2, Islamabad<br/><b>Work Mode:</b> Onsite<br/><b>Office Hours:</b> 6:00 PM &ndash; 2:00 AM (Monday to Friday)</p><p>We are looking for a skilled and motivated <b>AI Engineer</b> to join our growing team. This is a full-time, onsite role for someone passionate about building and deploying AI-powered solutions.</p><p><b>Key Responsibilities</b></p><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><p><b>Requirements</b></p><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><p><b>Compensation</b></p><p><b>PKR 70,000 &ndash; 100,000 per month</b> (depending on experience and skill set)</p><p><b>What We Offer</b></p><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><p><b>Interested candidates</b> can apply by sending their CV</p><p>Job Type: Full-time</p><p>Pay: Rs100,000.00 per month</p><p>Work Location: In person</p>

Artificial Intelligence Engineer

ZZ-Technologies, islamabad

<p><b>Job Summary:</b></p><p>We are seeking a skilled and innovative <b>AI Engineer</b> to design, develop, and implement AI-driven solutions to support our products and operations. The ideal candidate will have strong experience in machine learning, deep learning, data processing, and software engineering.</p><p><b>Responsibilities:</b></p><p><b>LLM Development &amp; Fine-Tuning</b></p><ul><li>Fine-tune and adapt state-of-the-art LLMs (e.g., LLaMA, GPT, Mistral, Gemma) for domain-specific tasks.</li><li>Implement advanced training strategies including <b>LoRA</b>, <b>QLoRA</b>, <b>PEFT</b>, and parameter-efficient adaptation methods.</li><li>Manage dataset preprocessing, curation, augmentation, and experiment tracking.</li><li>Optimize models for quality, latency, and memory efficiency across training and inference.</li></ul><p><b>GPU-Based Training &amp; Optimization</b></p><ul><li>Run and optimize training pipelines across multi-GPU environments (NVIDIA A100, H100, RTX, etc.).</li><li>Implement mixed-precision training, quantization, and distributed training (e.g., DeepSpeed, FSDP, DDP).</li><li>Monitor GPU performance, memory usage, and throughput to ensure optimal resource utilization.</li></ul><p><b>Model Serving &amp; Infrastructure</b></p><ul><li>Deploy LLMs using modern serving frameworks (vLLM, TensorRT-LLM, HuggingFace TGI, Triton).</li><li>Develop scalable inference architectures using Docker, Kubernetes, and cloud GPU infrastructure.</li><li>Build end-to-end pipelines for continuous training, evaluation, and automated deployment.</li></ul><p><b>Research, Experimentation &amp; Innovation</b></p><ul><li>Stay updated with cutting-edge research in transformers, embeddings, RAG, PEFT, and efficient fine-tuning.</li><li>Run experiments, benchmark models, and propose architectural or training improvements.</li><li>Prototype new capabilities and develop internal best practices for LLM workflows.</li></ul><p><b>Collaboration &amp; Leadership</b></p><ul><li>Work closely with product, engineering, and data teams to translate requirements into model behaviors.</li><li>Mentor junior engineers and contribute to technical design reviews and architecture decisions.</li><li>Communicate model performance, limitations, and trade-offs clearly to stakeholders</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, Engineering, or a related field.</li><li>Strong coding skills in Python (TensorFlow, PyTorch, Scikit-learn, OpenCV, etc.).</li><li>Solid understanding of machine learning algorithms, deep learning, NLP, or computer vision.</li><li>Experience with cloud platforms (AWS, Azure, GCP) is a plus.</li><li>Familiarity with MLOps tools (Docker, Kubernetes, MLflow, etc.) preferred.</li><li>Strong problem-solving skills and ability to work on complex, data-driven problems.</li><li>Ability to work collaboratively in a team-oriented environment.</li></ul><p><b>Preferred Qualifications:</b></p><ul><li>Experience deploying AI models in production environments.</li><li>Knowledge of LLMs (Large Language Models) and prompt engineering.</li><li>Background in data engineering or backend development.</li><li>Research experience or publications in AI/ML fields.</li></ul><p>You can share your cv on whtsapp as well. 03355707047</p><p>Job Type: Full-time</p><p>Pay: Rs200,000.00 - Rs500,000.00 per month</p><p>Work Location: In person</p>

Senior AI Engineer

Motive

<div><div><p><b>Who we are:</b></p>
<p>
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.</p>
<p>
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.</p>
<p>
Visit gomotive.com to learn more.</p></div><br>
<p></p>
<h3 class="jobSectionHeader"><b>
About the Role:</b></h3>
<p>
As a <b>Senior Software Engineer </b>on the <b>ML Platform team</b>, 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.</p>
<h3 class="jobSectionHeader"><b>
What You'll Do:</b></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"><b>What We're Looking For:</b></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><p></p><div><p><i><br>
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.</i></p>
<p><i>
Please review our Candidate Privacy Notice </i><i>here</i><i>.</i></p>
<p><i>
UK Candidate Privacy Notice </i><i>here</i><i>.</i></p>
<p><i>
The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. </i><i>It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.</i></p>
<p>
#LI-Remote</p></div></div>

Senior Software Engineer - ML Platform

Information Tech Consultants

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


Senior Data Scientist SME & AI

Fun Prime Technology

<p><b>Job Title:</b> Junior Full Stack Developer<br/><b>Experience:</b> 6 Months<br/><b>Tech Stack:</b> Python, React, FastAPI, Docker, AI Integration</p><p><b>Job Responsibilities:</b></p><ul><li>Develop and maintain <b>frontend applications using React</b></li><li>Build and manage <b>backend APIs using FastAPI</b></li><li>Integrate frontend with backend services</li><li>Assist in <b>Docker-based application deployment</b></li><li>Work on <b>basic AI/ML integrations</b> (APIs, models, or third-party AI services)</li><li>Debug, test, and optimize application performance</li><li>Collaborate with senior developers and follow best coding practices</li><li>Maintain code documentation and version control (Git)</li></ul><p><b>Required Skills:</b></p><ul><li>Basic to intermediate knowledge of <b>Python</b></li><li>Hands-on experience with <b>React.js</b></li><li>Experience building RESTful APIs using <b>FastAPI</b></li><li>Understanding of <b>Docker and containerization</b></li><li>Familiarity with AI concepts and API integrations</li><li>Knowledge of HTML, CSS, JavaScript</li><li>Experience with Git/GitHub</li></ul><p><b>Nice to Have:</b></p><ul><li>Basic understanding of databases (PostgreSQL / MySQL)</li><li>Exposure to cloud platforms (AWS, GCP, or Azure)</li><li>Familiarity with CI/CD pipelines</li></ul><p><b>Education:</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science or related field (or equivalent practical experience)</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Junior FullStack Developer

Explore 217+ Junior ai engineer in Islamabad Pakistan this January. Find roles across top companies and apply now to boost your career.

217 junior ai engineer jobs IN Islamabad Pakistan

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Senior Software Engineer - ML Platform

Senior Data Scientist SME & AI

Junior FullStack Developer