ai engineer

civil engineer

automation engineer

mechanical engineer

mobile engineer

ml engineer

Value Engineering

<p><b>Location:</b> Bahria Phase 4, Rawalpindi (Onsite)<br/><b>Experience Required:</b> Minimum 5+ Years<br/><b>Job Type:</b> Full-Time<br/><b>Shift:</b> Night Shift</p><p><b>Position Overview:</b></p><p>We are looking for an <b>experienced and innovative AI/ML Engineer</b> to join our dynamic team at <b>The Value Engineering</b>. The ideal candidate will have a strong background in <b>machine learning, deep learning, and artificial intelligence</b>, with proven experience in building, deploying, and optimizing AI models that solve complex, real-world problems.</p><p>This role offers an opportunity to lead impactful projects, collaborate with cross-functional teams, and push the boundaries of what&rsquo;s possible with data-driven intelligence.</p><p><b>Key Responsibilities:</b></p><ul><li>Design, develop, and deploy <b>advanced AI/ML models</b> and predictive systems.</li><li>Build and maintain <b>data pipelines</b>, from data collection to preprocessing and model deployment.</li><li>Apply statistical analysis, optimization, and machine learning algorithms to large-scale datasets.</li><li>Collaborate with <b>data scientists, software engineers, and business teams</b> to deliver production-grade solutions.</li><li>Monitor and fine-tune model performance for scalability and accuracy.</li><li>Research and implement <b>cutting-edge ML algorithms</b> and frameworks.</li><li>Develop tools and processes for <b>automated model training, evaluation, and deployment (MLOps)</b>.</li></ul><p><b>Required Skills &amp; Qualifications:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in <b>Computer Science, Data Science, Artificial Intelligence, or a related field</b>.</li><li><b>5+ years of hands-on experience</b> in AI/ML model development and deployment.</li><li>Strong command of <b>Python</b> and libraries such as <b>TensorFlow, PyTorch, Scikit-learn, Keras, NumPy, and Pandas</b>.</li><li>Proven experience with <b>data preprocessing, model optimization</b>, and <b>feature engineering</b>.</li><li>Experience in <b>cloud platforms</b> (AWS, Azure, or GCP) and <b>containerization tools</b> (Docker, Kubernetes).</li><li>Familiarity with <b>API integration</b> and model serving using <b>Flask/FastAPI</b>.</li><li>Deep understanding of <b>algorithms, statistics, and mathematical modeling</b>.</li><li>Strong problem-solving, analytical thinking, and teamwork skills.</li></ul><p>Job Type: Full-time</p><p>Pay: Rs500,000.00 - Rs600,000.00 per month</p><p>Application Question(s):</p><ul><li>Are you comfortable working in Night Shift?</li><li>Are you comfortable commuting to bahria phase 4 Rawalpindi?</li></ul><p>Work Location: In person</p>

Senior AI/ML Engineer

Placentek

<div>
 Position: AI/ML Engineer (Gen AI/LLMs)
 <br/>
 <br/>
 Location: Islamabad, Pakistan (Onsite)
 <br/>
 <br/>
 Contract Details: Full-time
 <br/>
 <br/>
 We are seeking a highly skilled and experienced AI/ML Engineer to join our team in Islamabad, Pakistan. As an AI/ML Engineer, you will be responsible for developing and implementing cutting-edge artificial intelligence and machine learning solutions for our Gen AI/LLMs project.
 <br/>
 <br/>
 Key Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Design, develop, and implement AI/ML solutions for the Gen AI/LLMs project
  </li>
  <li>
   Collaborate with cross-functional teams to understand business needs and develop AI/ML solutions that meet those needs
  </li>
  <li>
   Conduct research and stay updated on the latest advancements in AI/ML technologies
  </li>
  <li>
   Develop and maintain data pipelines for efficient data processing and analysis
  </li>
  <li>
   Train and evaluate AI/ML models for accuracy and performance
  </li>
  <li>
   Optimize and improve existing AI/ML models for better performance
  </li>
  <li>
   Work with large datasets and perform data cleaning, preprocessing, and feature engineering
  </li>
  <li>
   Communicate complex technical concepts and solutions to non-technical stakeholders
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor's or Master's degree in Computer Science, Data Science, or a related field
  </li>
  <li>
   Minimum of 3 years of experience in AI/ML engineering
  </li>
  <li>
   Strong programming skills in languages such as Python, Java, or C++
  </li>
  <li>
   Experience with popular AI/ML frameworks such as TensorFlow, PyTorch, or Keras
  </li>
  <li>
   Knowledge of data structures, algorithms, and data modeling techniques
  </li>
  <li>
   Experience with cloud computing platforms such as AWS, Azure, or Google Cloud
  </li>
  <li>
   Strong understanding of statistics and probability
  </li>
  <li>
   Excellent problem-solving and analytical skills
  </li>
  <li>
   Ability to work independently and in a team environment
  </li>
  <li>
   Strong communication and collaboration skills
  </li>
  <li>
   Experience with Natural Language Processing (NLP) is a plus
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 We offer a competitive salary package and a dynamic work environment where you will have the opportunity to work on cutting-edge AI/ML projects. If you are passionate about AI/ML and want to be a part of a fast-growing team, we would love to hear from you!
</div>


AI/ML Engineer (Gen AI/LLMs)

NorthBay Solutions

<div><h3 class="jobSectionHeader"><b>Lead GenAI Engineer (Application Development)</b></h3><p><b>
Experience:</b> 7&ndash;12+ years<br>
<b>Location:</b> Hybrid (Lahore / Karachi / Islamabad &ndash; Pakistan)<br>
<b>Employment Type:</b> Full-time</p><h4 class="jobSectionHeader"><b>
About the Role</b></h4><p>
NorthBay Solutions is seeking a <b>Lead GenAI Engineer (Application Development)</b> with a strong foundation in <b>AI/ML</b>, <b>GenAI solution design</b>, and <b>end-to-end application development</b>. The ideal candidate will have a proven track record of developing and deploying enterprise-scale GenAI applications across cloud and hybrid environments, while leading cross-functional engineering teams in Agile settings.</p><h4 class="jobSectionHeader"><b>
Core Responsibilities</b></h4><ul><li>
Design and implement <b>AI-powered enterprise-grade applications</b>, integrating traditional systems with AI/ML and GenAI capabilities.</li><li>
Lead a team of <b>8&ndash;12 engineers</b> across full-stack, DevOps, and AI/ML disciplines.</li><li>
Drive <b>technical decision-making</b> across infrastructure, microservices, APIs, and AI components.</li><li>
Architect and deliver <b>production-ready GenAI applications</b>, ensuring scalability, reliability, and performance.</li><li>
Collaborate with product and business teams to translate complex requirements into actionable AI-driven solutions.</li></ul><h4 class="jobSectionHeader"><b>
Technical Requirements</b></h4><p><b>
GenAI Leadership (3+ Years) &ndash; Primary</b></p><ul><li>
Proven experience in developing and deploying <b>GenAI applications</b> in production.</li><li>
Expertise in <b>LLMs (LLAMA, Mistral, GPT, etc.)</b>, including fine-tuning, optimization, and deployment.</li><li>
Hands-on experience with <b>Agentic AI</b>, <b>Multi-Agent Systems</b>, and <b>Agentic RAG</b> implementations.</li><li>
Proficiency in <b>Vector Databases</b>, <b>LangChain</b>, <b>LangGraph</b>, and related toolchains.</li><li>
Strong <b>prompt engineering</b> and <b>Chain-of-Thought optimization</b> capabilities.</li></ul><p><b>
AI/ML Foundation (4&ndash;5 Years)</b></p><ul><li>
Hands-on <b>Python</b>, <b>TensorFlow</b>, <b>PyTorch</b> experience for building ML models and AI pipelines.</li><li>
Expertise in the <b>AI/ML model lifecycle</b> &mdash; from development and deployment to monitoring.</li><li>
Experience integrating AI/ML solutions into <b>enterprise-grade web or mobile applications</b>.</li></ul><p><b>
Application Development &amp; Architecture (7+ Years)</b></p><ul><li>
Strong background in <b>full-stack development</b> (MERN or equivalent stack).</li><li>
Proven ability to deliver <b>end-to-end applications</b> integrating AI/ML and GenAI capabilities.</li><li>
Proficiency in <b>API development (REST, GraphQL)</b> and <b>microservices architecture</b>.</li><li>
Experience deploying solutions across <b>on-premises, cloud, and hybrid environments</b>.</li><li><b>
Kubernetes</b> for container orchestration and deployment management.</li><li>
Database experience in <b>SQL (PostgreSQL/MySQL)</b> and <b>NoSQL (MongoDB/DynamoDB)</b>.</li><li>
Familiarity with <b>DevOps tools</b>: Docker, CI/CD pipelines, and infrastructure automation.</li></ul><p><b>
Cloud &amp; Infrastructure</b></p><ul><li>
Hands-on experience with <b>AWS/Azure/GCP</b> cloud environments and ML services.</li><li>
Experience with <b>AWS SageMaker</b>, <b>Bedrock</b>, <b>Lambda</b>, <b>API Gateway</b>, or equivalents.</li><li>
Understanding of <b>hybrid architecture design</b> integrating AI/ML systems.</li></ul><h4 class="jobSectionHeader"><b>
Proven Delivery</b></h4><ul><li>
Successful delivery of <b>7+ enterprise or AI/ML-driven applications</b>.</li><li>
Demonstrated <b>leadership experience</b> managing cross-functional technical teams.</li><li>
Ability to deliver <b>high-quality, scalable, and secure solutions</b> under tight timelines.</li></ul><h4 class="jobSectionHeader"><b>
Preferred Qualifications</b></h4><ul><li><b>
Cloud certifications</b> (AWS/Azure/GCP &ndash; Solutions Architect / ML Specialty preferred).</li><li>
Excellent <b>communication and leadership skills</b>, capable of bridging business and technology.</li><li>
Experience working in <b>Agile/Scrum</b> environments with measurable performance outcomes.</li></ul><h4 class="jobSectionHeader"><b>
Ideal Candidate</b></h4><p>
A hands-on leader with strong expertise in <b>GenAI application development</b>, solid understanding of <b>AI/ML</b>, and a proven background in <b>enterprise software engineering and deployment</b> across cloud and hybrid infrastructures.</p><p>
</p><p>2OWWNNGtq6</p></div>

Lead GenAI Engineer (Application Development)

IKONIC

<div>
 <strong>
  Position Title:
 </strong>
 Machine Learning Engineer
 <br/>
 <br/>
 <strong>
  Timings:
 </strong>
 4:00 pm - 1:00 am
 <br/>
 <br/>
 <strong>
  Department:
 </strong>
 AI ML
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Ikonic, Plot # 176, Korang Road, near Rahat Bakers, I-10/3, Islamabad
 <br/>
 <br/>
 <strong>
  About Us:
  <br/>
  <br/>
 </strong>
 IKONIC is a US-based IT company headquartered in Miami, Florida, serving clients globally for over 9 years. Were known for building scalable digital solutions and high-performing product teams. Innovation, ownership, and outcomes are core to how we work.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We&rsquo;re seeking a skilled
 <strong>
  Machine Learning Engineer
 </strong>
 to design, develop, and deploy scalable
 <strong>
  ML models and data-driven solutions
 </strong>
 .
 <br/>
 <br/>
 You will collaborate with data scientists, software engineers, and product teams to bring machine learning models from concept to production helping the organization leverage data for predictive insights, automation, and innovation.
 <br/>
 <br/>
 <strong>
  Education &amp; Professional Qualification:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor or equivalent degree from a reputed educational institute, preferably in computer programming, computer science, or a related field.
  </li>
  <li>
   Certification(s): Not mandatory, but certification in a relevant field is a plus.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience:
  <br/>
  <br/>
 </strong>
 Minimum 2+ years of experience in Machine Learning Engineering with a proven portfolio of relevant projects.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and optimize machine learning models for prediction, classification, and recommendation tasks.
  </li>
  <li>
   Preprocess, clean, and transform large datasets for model training and evaluation.
  </li>
  <li>
   Select appropriate algorithms and tune hyperparameters to maximize model accuracy and efficiency.
  </li>
  <li>
   Work with deep learning frameworks (TensorFlow, PyTorch, Keras) for model development.
  </li>
  <li>
   Implement feature engineering techniques to enhance model performance.
  </li>
  <li>
   Develop data pipelines for continuous training and deployment (MLOps).
  </li>
  <li>
   Deploy models in production environments using REST APIs, Docker, or cloud ML platforms.
  </li>
  <li>
   Monitor, evaluate, and retrain models to maintain performance over time.
  </li>
  <li>
   Collaborate with data teams to align ML outputs with business objectives.
  </li>
  <li>
   Stay updated with the latest advancements in ML, DL, and AI research.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong programming skills in Python and experience with libraries such as scikit-learn, Pandas, NumPy, Matplotlib, and Seaborn.
  </li>
  <li>
   Hands-on experience with TensorFlow or PyTorch.
  </li>
  <li>
   Solid understanding of supervised, unsupervised, and reinforcement learning techniques.
  </li>
  <li>
   Experience working with SQL / NoSQL databases.
  </li>
  <li>
   Familiarity with MLOps, model versioning, and CI/CD pipelines.
  </li>
  <li>
   Strong grasp of data preprocessing, feature selection, and model evaluation metrics.
  </li>
  <li>
   Proficiency with cloud services (AWS SageMaker, GCP Vertex AI, or Azure ML).
  </li>
  <li>
   Strong analytical, debugging, and problem-solving skills.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice To Have:
  <br/>
  <br/>
 </strong>
 Knowledge of Natural Language Processing (NLP) or Computer Vision.
 <br/>
 <br/>
 Experience with Generative AI, LLMs, or RAG pipelines.
 <br/>
 <br/>
 Familiarity with data visualization tools (PowerBI, Tableau).
 <br/>
 <br/>
 Exposure to big data frameworks (Spark, Hadoop).
 <br/>
 <br/>
 Understanding of statistics and probability for model validation.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   EOBI
  </li>
  <li>
   Provident Fund
  </li>
  <li>
   Medical Health Insurance
  </li>
  <li>
   Accommodation
  </li>
  <li>
   Annual Leaves
  </li>
  <li>
   Casual leaves
  </li>
  <li>
   Sick Leaves
  </li>
  <li>
   Bereavement Leaves
  </li>
  <li>
   Marriage Leaves
  </li>
  <li>
   Paternity Leaves
  </li>
  <li>
   Maternity Leaves
  </li>
  <li>
   Recreational area for in-house games
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Should You Join IKONIC?
  <br/>
  <br/>
 </strong>
 At IKONIC, we believe in providing development opportunities to all its employees which is why our job comes with a variety of challenging assessments meant to catapult your career to the next level. This is made evident with our offerings such as:
 <br/>
 <br/>
 <ul>
  <li>
   A growth mindset through the help of experienced and helpful Mentors. Ikonic is made up of passionate individuals who aim to support each other in their training as well as day-to-day tasks.
  </li>
  <li>
   A Dynamic Environment where we focus on encouraging initiatives, promoting agility and creating a work/life balance. We know the value you bring in and we aim to nurture it.
  </li>
  <li>
   Market Competitive Compensation based upon your professional qualifications and skill set.
  </li>
  <li>
   As an Equal employment opportunity provider. All employment associated decisions are based on an individual's merit.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Note: Above goals and job descriptions are indicative and subject to change.
 </strong>
</div>


Machine Learning Engineer

PackageX

<div><div><div><b>About PackageX</b>:</div><div>
PackageX automates data entry and manual logistics processes for receiving, inventory, and fulfilment in buildings, warehouses, and stores. It uses advanced AI scanning, flexible bolt-on apps, and APIs to drive exceptional workforce productivity, fulfilment efficiency, and real-time visibility.</div><div></div><div><br>
Our vision is to build the most advanced logistics infrastructure company that orchestrates the movement of physical things and becomes the defining backbone of the digital supply chain.</div><div></div><div><br>
We're a fast-growing pre-Series A stage startup in New York City with a distributed global team backed by Bullpen Capital, Pritzker Group, Sierra Ventures, Ludlow Ventures, MXV Capital, and NSV Wolf Capital.</div><div></div><div><b><br>
About the Role:</b></div><div>
We are looking for a passionate and experienced Machine Learning Engineer with a strong background in Computer Vision, Natural Language Processing (NLP), and Large Language Models (LLMs) to join our growing AI team. The ideal candidate is someone who stays up to date with the rapidly evolving ML ecosystem, has hands-on experience solving real-world problems, and can take ownership of end-to-end ML solutions &mdash; from research to deployment.</div><div></div><div><b><br>
Key Responsibilities:</b></div><ul><li>Design, build, and deploy machine learning models, particularly in the areas of computer vision and NLP.</li><li>Develop and fine-tune large language models (LLMs) for specialized use cases.</li><li>Translate business and product challenges into ML solutions.</li><li>Collaborate closely with product, design, and engineering teams to integrate ML models into real-world applications.</li><li>Research and implement state-of-the-art techniques while staying ahead of emerging trends in ML and AI.</li><li>Optimize ML models for deployment on mobile and edge devices (Android/iOS).</li><li>Analyze and improve model performance through rigorous testing and evaluation.</li><li>Document findings, contribute to knowledge sharing, and mentor junior engineers if needed..</li></ul><div></div><div><b><br>
Required Skills &amp; Qualifications:</b></div><ul><li>5+ years of hands-on experience in machine learning.</li><li>Strong foundation in Computer Vision (e.g., image classification, object detection, OCR) and NLP (e.g., transformers, text generation, embeddings).</li><li>Experience working with Large Language Models (OpenAI, Hugging Face, LLaMA, etc.).</li><li>Solid understanding of ML frameworks such as TensorFlow, PyTorch, or JAX.</li><li>Experience deploying ML models in production environments.</li><li>Proven track record of solving real-world business or technical problems using machine learning.</li><li>Familiarity with optimizing ML models for mobile and edge devices is a strong plus.</li><li>Proficient in Python and ML tooling (e.g., NumPy, Pandas, scikit-learn, Hugging Face, OpenCV).</li><li>Strong analytical and problem-solving skills.</li></ul><div><b>
</b></div><div><b>
Nice to have skills:</b></div><ul><li>A strong plus if you have worked on deploying ML models on mobile platforms.</li><li>Experience working with machine learning models on mobile devices.</li><li>Exposure to MLOps pipelines and tools (e.g., MLflow, Weights &amp; Biases).</li><li>Contributions to open-source projects or technical blogs.</li><li>Master's or PhD in Computer Science, AI, Machine Learning, or related field.</li></ul><div></div><div><b><br>
What can you expect from the application process?</b></div><div>
All applications will be looked at by the People team who will reach out to shortlisted candidates. Across various interview rounds, you'll speak with the hiring manager and other functional heads. We want to have an open discussion about your work and how we can be a great fit for each other. The process may also involve an assessment or presentation relevant to the role. You can expect an offer after three rounds of interviews. All offers are subject to satisfactory reference and background checks.</div></div><br>
<div></div>
<div><div>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Senior Machine Learning Engineer (Computer Vision & NLP)

eMumba

<p></p><div><div><div><div><div><div><div><div><div>We&rsquo;re looking for a <b>hands-on Principal Engineer (AI Systems)</b> who loves to build, not just design.<br>
You&rsquo;ll spend your time writing code, experimenting with LLMs, and turning ideas into production-grade Generative AI systems. You&rsquo;ll work directly on Retrieval-Augmented Generation (RAG), LLMOps, and multi-agent orchestration frameworks, solving real technical problems every day.</div><div>
This is a <b>purely technical IC role</b>, not a managerial one. You&rsquo;ll lead by example, mentor through code reviews, and own end-to-end technical delivery.</div></div></div>
</div><h2 class="jobSectionHeader"><b>Key Responsibilities
</b></h2><div><div><div><ul><li><b>Design and code</b> RAG systems with embeddings, hybrid search, and evaluation pipelines.</li>
<li><b>Develop hands-on</b> multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI, or custom).</li>
<li><b>Implement and maintain</b> LLMOps pipelines for prompt versioning, cost tracking, and evaluation.</li>
<li><b>Integrate</b> AI workflows with backend services and data layers for real-world scalability.</li>
<li><b>Experiment</b> with LLMs for retrieval, summarization, and personalization use cases.</li>
<li><b>Contribute directly to code</b>, architecture reviews, and performance improvements.</li>
</ul><div><b>Collaborate</b> with data and platform engineers to deploy and optimize GenAI solutions.</div></div></div>
</div><h2 class="jobSectionHeader"><b>Skills, Knowledge and Expertise
</b></h2><div><div><div><p><b>Must-Have Skills</b>
</p><ul><li>5+ years of backend or ML engineering experience, with <b>strong Python coding</b> skills.</li>
<li><b>Proven experience shipping RAG systems</b> (vector DBs, embeddings, chunking).</li>
<li>Familiarity with orchestration frameworks (LangGraph, LangChain, AutoGen, or similar).</li>
<li>Understanding of LLM behavior, evaluation, and fine-tuning workflows.</li>
<li>Experience with APIs, microservices, and cloud-native development (AWS preferred).</li>
</ul><p><b>Nice-to-Have</b>
</p><ul><li>Experience with unstructured data (PDFs, tables, images).</li>
<li>Familiarity with distributed systems concepts (async, message queues, caching).</li>
<li>Experience with LLM evaluation or reinforcement learning from feedback (RLAIF).</li>
<li>Understanding of data versioning or retrieval metrics.</li>
</ul><p><b>Soft Skills</b>
</p><ul><li><b>Builder mindset</b> &mdash; thrives on writing, debugging, and improving production code.</li>
<li>Collaborative, humble, and open to feedback.</li>
<li>Strong communicator who explains design decisions clearly.</li>
</ul><div>Influences through contribution, not hierarchy.</div></div></div>
</div><h2 class="jobSectionHeader"><b>About Emumba
</b></h2><div><div>We specialize in delivering innovative solutions and exceptional services to meet the diverse needs of our clients. With a strong commitment to quality and customer satisfaction, we strive to exceed expectations and drive success in every project we undertake.</div></div><p></p><div><br>
</div></div></div></div></div><p></p><div><div><div><div><div><div><div>
</div></div><div><div><p>Department</p>
<p><b>Backend</b></p>
<p>Employment Type</p>
<p><b>Full Time</b></p>
<p>Location</p>
<p><b>Islamabad, Pak</b></p>
<p>Workplace type</p>
<p><b>Fully remote</b></p></div></div></div></div></div></div></div></div><p></p>

Principal Engineer (AI Systems)

NCRI PAKISTAN PVT. LTD.

<p>We&rsquo;re looking to hire an experienced <b>AI/ML Engineer</b> to design and implement intelligent solutions that enhance our customer interaction analytics and CRM insights.</p><p><b>Scope of Work</b></p><ul><li><b>Sentiment Analysis of Calls</b></li><li>Build and deploy models to analyze customer sentiment from call recordings or transcripts.</li><li>Deliver accurate emotion and tone detection using NLP and speech analytics.</li><li><b>Automated QA of Calls (Auto-QA)</b></li><li>Develop an AI-driven quality assurance system to evaluate agent performance across compliance, tone, empathy, and resolution metrics.</li><li>Utilize speech-to-text, NLP, and similarity-based evaluation for consistency with internal QA standards.</li><li>Optionally leverage RAG for dynamically referencing updated QA criteria or policy documents.</li><li><b>AI Integration with CRM (Trends &amp; Next Best Action)</b></li><li>Integrate AI with our CRM to uncover insights, performance trends, and customer behavior patterns.</li><li>Implement <b>Retrieval-Augmented Generation (RAG)</b> for context-aware recommendations and dynamic knowledge retrieval.</li><li>Use <b>vector databases</b> (e.g., Pinecone, Weaviate, Chroma, FAISS) to enable semantic search and similarity analysis across CRM data.</li><li>Generate &ldquo;next best action&rdquo; suggestions for customer management based on historical interactions and outcomes.</li></ul><p><b>Ideal Candidate Qualifications</b></p><ul><li>Proven experience in <b>Machine Learning, NLP, and Speech Analytics</b>.</li><li>Strong command of <b>Python</b>, <b>LLM APIs (e.g., OpenAI, Anthropic, Hugging Face).</b></li><li>Experience with <b>RAG pipelines</b> and <b>vector databases</b> for retrieval and semantic search.</li><li>Background in integrating AI solutions with <b>CRM platforms</b> (Salesforce, HubSpot, or custom systems).</li><li>Familiarity with cloud AI services (<b>AWS Comprehend</b>, <b>Google Speech</b>, or <b>Azure Cognitive Services</b>) is a plus.</li></ul><p><b>Deliverables</b></p><ul><li>Working prototypes or proof-of-concept modules for each component.</li><li>Scalable architecture and documentation for model deployment.</li><li>Optional dashboards or analytics interface for insights visualization.</li></ul><p>Job Type: Full-time</p><p>Pay: Rs120,000.00 - Rs200,000.00 per month</p><p>Work Location: In person</p>

Senior Ai / Machine Learning Engineer

Explore 154+ Ml engineer in Islamabad this November. Find roles across top companies and apply now to boost your career.