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Simcoe IT

We are looking for a motivated AI Engineer / API Integrator to join our growing AI development team. The ideal candidate will have hands-on experience in Python, API integration, and LangChain frameworks. You will be responsible for connecting and optimizing external AI and NLP APIs to power next-generation, multi-modal AI solutions.Key Responsibilities<ul><li>Integrate and manage external AI and NLP APIs within the AI Processing Router Engine.</li><li>Design and maintain query routing pipelines for text, image, and video workflows.</li><li>Test and optimize API performance and latency across different AI layers.</li><li>Handle API token management, authentication, and security.</li><li>Collaborate with backend engineers to ensure stable and scalable integration.</li></ul>Required Skills &amp; Experience<ul><li>2 years of hands-on experience with Python programming.</li><li>Solid understanding of LangChain, LLM workflows, and prompt optimization.</li><li>Proven ability in API integration (REST / GraphQL) and data handling.</li><li>Familiarity with AI model deployment and multi-modal (text / image / video) data routing.</li><li>Strong debugging, analytical, and documentation skills.</li></ul>Apply at: haroon@searchopal.com Or share CV via WhatsApp: 0337-9928258Job Type: Full-timePay: Rs80,000.00 - Rs90,000.00 per monthWork Location: In person

AI Engineer / API Integrator

Marketing Tech Sol

Type: Full-time | Location: Onsite Starting Salary: PKR 160,000 &ndash; 200,000/monthAbout the Role:We are looking for a skilled AI/ML Engineer with strong expertise in Natural Language Processing (NLP) and a solid understanding of Computer Vision, Large Language Models (LLMs), and Generative AI.Key Responsibilities:<ul><li>Develop and fine-tune LLMs (e.g., GPT, BERT, LLaMA) for NLP applications.</li><li>Build and integrate Generative AI solutions for intelligent and creative use cases.</li><li>Implement text classification, sentiment analysis, chatbots, and summarization models.</li><li>Optimize and deploy AI models using TensorFlow, PyTorch, or Hugging Face.</li><li>Apply computer vision techniques such as object detection and image recognition.</li><li>Deploy AI models on cloud platforms (AWS, GCP, Azure).</li><li>Stay updated with the latest AI research and advancements.</li><li>Ensure compliance with ethical AI, data privacy, and security standards.</li></ul>Requirements:<ul><li>Minimum 2 years of experience in AI/ML development.</li><li>Strong experience in NLP, LLMs, and Generative AI.</li><li>Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Hugging Face).</li><li>Proven experience in NLP, computer vision, or reinforcement learning.</li><li>Hands-on experience with cloud platforms (AWS, GCP, Azure) and model deployment.</li><li>Solid understanding of data preprocessing, feature engineering, and large-scale data handling.</li><li>Familiarity with containerization tools (Docker, Kubernetes) and CI/CD for ML workflows.</li><li>Strong problem-solving and analytical skills.</li><li>Experience with MLOps, model deployment, and cloud AI services.</li><li>Familiarity with LangChain and LangGraph frameworks.</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Machine Learning, or a related field.</li></ul>Apply Now:Email:advitandhealthsol@gmail.com WhatsApp: 03126155418Job Type: Full-timePay: Rs160,000.00 - Rs200,000.00 per monthWork Location: In person

Sr. AI/ML Engineer

NextBridge

We&rsquo;re Hiring &mdash; AI Engineer (3+ years experience)Nextbridge Ltd. is expanding its AI team to build next-generation systems that combine Computer Vision and LLMs to create real-world solutions.Location: Lahore (On-site) Requirements<ul><li>Strong Python and AI/ML libraries (NumPy, OpenCV, scikit-learn).</li><li>Hands-on experience with LLMs, LangChain, and graph-based reasoning.</li><li>Solid understanding of ML algorithms, data structures, and model deployment.</li><li>Ability to write clean, scalable, production-ready code.</li><li>Strong problem-solving and coding skills.</li></ul>Responsibilities<ul><li>Design and deploy AI/ML models for vision and NLP tasks.</li><li>Build LLM-integrated systems using LangChain, LangGraph, CrewAI, etc.</li><li>Work on RAG, agentic AI, and autonomous systems.</li><li>Develop APIs and deploy models on AWS, GCP, or Azure.</li><li>Optimize deep-learning models (PyTorch, TensorFlow, Keras).</li></ul>Ready to build transformative AI with an innovative team? Send your CV to careers@nextbridge.com with the subject &ldquo;AI Engineer &ndash; [Your Name]&rdquo;.Job Type: Full-timePay: From Rs200,000.00 per monthWork Location: In person

AI Engineer

ibex

<div>
 We are seeking a highly skilled and creative
 
 AI Agent Conversation Designer/Engineer
 
 to join our team and help shape the next generation of customer experience through intelligent virtual agents. This role sits at the intersection of
 
 conversation design, user experience, AI/NLP technologies, and CX strategy
 
 . You will be responsible for crafting natural, engaging, and effective conversations for AI-powered customer service bots, and for building the logic, flows, and backend integrations that power them.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and optimize conversational experiences across text, voice, and multimodal AI agents that serve customer-facing use cases.
 </li>
 <li>
 Collaborate with CX, product, and engineering teams to define intents, utterances, and dialogue flows aligned to business goals and customer needs.
 </li>
 <li>
 Use tools such as Dialogflow, Microsoft Bot Framework, Rasa, Kore.ai, or proprietary platforms to develop, test, and deploy virtual agents.
 </li>
 <li>
 Write natural, human-like copy that reflects brand voice while supporting task completion, escalation, and error handling.
 </li>
 <li>
 Analyze conversational data to continuously improve agent performance&mdash;tuning intents, training datasets, and optimizing flows.
 </li>
 <li>
 Integrate back-end systems and APIs to allow bots to handle dynamic requests (e.g., checking account status, processing returns, scheduling).
 </li>
 <li>
 Develop test cases and perform QA to ensure smooth, bug-free performance in production environments.
 </li>
 <li>
 Stay up to date with NLP, LLMs, and conversational AI innovations to inform ongoing development and optimization.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Linguistics, UX Design, Human-Computer Interaction, AI, or a related field. Or equivalent on the job experience
 </li>
 <li>
 3+ years of experience in conversation design, chatbot development, or NLP engineering.
 </li>
 <li>
 Proficiency in one or more bot development platforms: Google Dialogflow, AWS Lex, Rasa, Kore.ai, Cognigy, etc.
 </li>
 <li>
 Familiarity with programming languages (e.g., Python, JavaScript) and basic API integration.
 </li>
 <li>
 Understanding of machine learning and natural language understanding (NLU) principles.
 </li>
 <li>
 Strong grasp of UX best practices, persona development, and user-centric design.
 </li>
 <li>
 Experience with LLM integration and prompt engineering (e.g., OpenAI, Anthropic, Cohere) is a strong plus.
 </li>
 <li>
 Excellent problem-solving, collaboration, and communication skills.
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Experience designing for voice assistants (e.g., Alexa, Google Assistant).
 </li>
 <li>
 Knowledge of analytics platforms (e.g., Voiceflow, Dashbot, Botanalytics) for bot performance tracking.
 </li>
 <li>
 Familiarity with customer service domains such as e-commerce, telecom, healthcare, or fintech.
 </li>
 <li>
 Background in multilingual or multicultural experience design.
 </li>
 </ul>
</div>

AI Conversation Designer

<div>
 We are looking for a proactive and analytical
 
 Data Scientist
 
 to join our growing team. The ideal candidate will be deeply passionate about working with data, possess a strong foundation in statistical analysis and machine learning, and demonstrate the ability to derive actionable insights from complex datasets. This role requires experience in data wrangling, exploratory data analysis (EDA), and hands-on implementation of data science techniques, including Natural Language Processing (NLP).
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collect, clean, and organize structured and unstructured data from diverse sources.
 </li>
 <li>
 Ensure data accuracy, consistency, and readiness for analysis.
 </li>
 <li>
 Perform thorough EDA to understand data distributions, relationships, and anomalies.
 </li>
 <li>
 Use visualization tools (e.g., Matplotlib, Seaborn, Pandas) to communicate findings.
 </li>
 <li>
 Work closely with business teams to identify trends and patterns that guide decisions.
 </li>
 <li>
 Handle missing data, outliers, and normalization techniques effectively.
 </li>
 <li>
 Transform raw data into features suitable for modeling and insights.
 </li>
 <li>
 Automate and optimize data preparation pipelines.
 </li>
 <li>
 Develop NLP pipelines for text classification, sentiment analysis, named entity recognition, and more.
 </li>
 <li>
 Work with tools such as NLTK, Hugging Face Transformers, and BERT-based models.
 </li>
 <li>
 Analyze and process unstructured text data for business use cases.
 </li>
 <li>
 Translate complex data problems into clear, actionable insights.
 </li>
 <li>
 Proactively identify opportunities for data-driven improvements across departments.
 </li>
 <li>
 Conduct root cause analysis and support hypothesis-driven investigations.
 </li>
 <li>
 Work closely with cross-functional teams including data engineers, analysts, and product stakeholders.
 </li>
 <li>
 Exhibit a high level of accountability, ownership, and willingness to support teammates.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
 </li>
 <li>
 2&ndash;3 years of experience in a data science role.
 </li>
 <li>
 Proficiency in Python (NumPy, Pandas, Scikit-learn), SQL and MongoDB
 </li>
 <li>
 Hands-on experience with NLP frameworks such as NLTK, or Hugging Face.
 </li>
 <li>
 Solid understanding of machine learning algorithms and data modeling techniques.
 </li>
 <li>
 Strong data visualization and storytelling skills.
 </li>
 <li>
 Excellent problem-solving and critical thinking abilities.
 </li>
 <li>
 Strong communication skills and a collaborative mindset.
 </li>
 </ul>
</div>

Data Scientist, Tech

Code Graphers

Key ResponsibilitiesModel Development &amp; Implementation<ul><li>Design, train, and fine-tune machine learning and deep learning models for NLP, computer vision, and predictive analytics tasks.</li><li>Work with frameworks like TensorFlow, PyTorch, and Scikit-learn for building and deploying ML models.</li><li>Assist in developing RAG (Retrieval Augmented Generation) pipelines and LLM-based applications under senior supervision.</li><li>Implement and maintain APIs using frameworks like FastAPI, Flask, or Django for ML model integration.</li></ul>Data Handling &amp; Preprocessing<ul><li>Perform data cleaning, feature extraction, and transformation for model readiness.</li><li>Contribute to building and maintaining data pipelines for training and inference stages.</li></ul>Deployment &amp; MLOps<ul><li>Containerize ML solutions using Docker and participate in deploying models to production environments.</li><li>Support MLOps workflows, version control using DVC, and CI/CD pipelines for continuous delivery.</li></ul>Research &amp; Collaboration<ul><li>Stay updated with the latest trends in AI, LLMs, and computer vision.</li><li>Collaborate with cross-functional teams, data engineers, and senior ML engineers to ensure robust system integration.</li><li>Document workflows, experiments, and technical findings clearly.</li></ul>QualificationsEducation:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related discipline.</li></ul>Experience:<ul><li>2&ndash;3 years of hands-on experience in machine learning model development and deployment.</li><li>Strong understanding of fundamental ML algorithms and their mathematical background.</li><li>Exposure to NLP, Computer Vision, or LLM-based systems is preferred.</li></ul>Technical Skills:<ul><li>Proficient in Python and familiar with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch.</li><li>Knowledge of LLMs, LangChain, or RAG frameworks is a plus.</li><li>Experience with RESTful APIs and backend integration.</li><li>Familiarity with Git, Docker, and cloud platforms (AWS, GCP, or Azure).</li></ul>Nice to Have<ul><li>Experience with LoRA, QLoRA, or model fine-tuning techniques.</li><li>Familiarity with image classification, object detection, or segmentation tasks.</li><li>Exposure to auto-scaling, model optimization, or embedded ML applications.</li><li>Interest in learning advanced AI concepts like multi-agent systems, meta-learning, and generative AI.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Did you have experience with Computer vision, LLM, nlp and Audio?</li></ul>Experience:<ul><li>Machine Learning : 2 years (Required)</li></ul>Work Location: In person

Machine Learning Engineer

Analytiverse

About the RoleHubble42 is seeking passionate and motivated individuals to join our AI training team as Associate Software Engineers (LLM Trainees). This role is ideal for those who have a strong foundation in Python and are eager to explore cutting-edge technologies in Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP).Key Responsibilities<ul><li>Assist in developing, testing, and optimizing AI and LLM-based applications.</li><li>Work with large datasets and contribute to model training and evaluation.</li><li>Collaborate with senior engineers and data scientists to improve system performance.</li><li>Write clean, efficient, and well-documented Python code.</li><li>Participate in debugging and troubleshooting technical issues.</li></ul>Requirements<ul><li>Experience: 6 months to 1 year of hands-on experience in Python development.</li><li>Education: Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field.</li><li>Technical Skills:</li><li>Strong knowledge of Python</li><li>Understanding of Machine Learning, NLP, or AI fundamentals</li><li>Familiarity with Bash scripting (a plus)</li><li>Good understanding of software development principles and version control (e.g., Git)</li></ul>Job Type: Full-timeExperience:<ul><li>Python, ML, Bash: 1 year (Preferred)</li></ul>Location:<ul><li>Lahore (Required)</li></ul>Work Location: In person

Associate Software Engineer – LLM Trainee (AI)

Explore 278+ Nlp engineer in Lahore this November. Find roles across top companies and apply now to boost your career.