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[x] software engineer (entry level) Jobs in Lahore

[x] software engineer (entry level)

nlp engineer

Force Cloud LLC

<p>We are looking for a <b>Senior AI/ML Engineer</b> to join our growing AI services company as a core technical leader. In this role, you will design, build, and deploy production-ready AI/ML solutions across <b>computer vision, NLP, and generative AI</b>, while mentoring engineers and helping scale the team.</p><p>What You&rsquo;ll Do</p><ul><li>Design and develop end-to-end AI/ML solutions, from data preparation to deployment, across domains such as vision, NLP, GenAI, and predictive systems.</li><li>Build scalable ML pipelines, define best practices, and establish engineering standards.</li><li>Lead technical decision-making, including model selection, code reviews, and debugging complex issues.</li><li>Mentor and guide junior engineers, promoting a strong culture of learning and innovation.</li><li>Collaborate with clients and cross-functional teams to deliver accurate, scalable, and reliable AI solutions.</li><li>Stay up to date with emerging AI/ML trends and technologies to keep solutions future-ready.</li></ul><p>What You Bring</p><ul><li>3+ years of hands-on experience building and deploying machine learning models in production environments.</li><li>Strong expertise in:</li><li><b>Computer Vision:</b> CNNs, OpenCV, TensorFlow/PyTorch, transfer learning, object detection and segmentation.</li><li><b>NLP:</b> Transformer models (BERT, T5, GPT), embeddings, tokenization, HuggingFace, spaCy/NLTK.</li><li><b>Generative AI:</b> LLM orchestration (LangChain), RAG pipelines, chatbots, prompt engineering, vector databases (FAISS, Pinecone).</li><li>Strong ML fundamentals, including classical algorithms, feature engineering, and model evaluation using Python, Scikit-learn, XGBoost, or LightGBM.</li><li>Excellent communication, problem-solving, and mentorship skills with experience leading teams technically.</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

AI / ML Developer and Engineer

ibex

<div>
 We are looking for a proactive and analytical
 <strong>
  Data Scientist
 </strong>
 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).
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <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

FiveRivers Technologies

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>02/16/2026</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Full time</b><b>
</b></div></div><div><p>Work Experience</p>
<div><b>0-1 year</b><b>
</b></div></div><div><p>Industry</p>
<div><b>IT Services</b><b>
</b></div></div><div><p>City</p>
<div><b>Lahore</b><b>
</b></div></div><div><p>State/Province</p>
<div><b>Punjab</b><b>
</b></div></div><div><p>Country</p>
<div><b>Pakistan</b><b>
</b></div></div><div><p>Zip/Postal Code</p>
<div><b>54000</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>Job Description</b></h3><br>
<div></div><div><br>
<div><p><b>FiveRivers Technologies</b> is looking for an AI/ML Engineer with 6 months to 1 year experience, to work on cutting-edge Artificial Intelligence and Machine Learning solutions. The role will focus on designing and developing efficient and effective systems related to Generative AI, LLMs, Agentic AI and Machine Learning, while collaborating with cross-functional teams.</p><h4 class="jobSectionHeader"><b><br>
Responsibilities</b></h4><ul><li>
Implementing AI solutions involving Generative AI, Agentic AI, LLMs, Multimodal Models, NLP and Machine Learning. with a focus on Agents and Agentic Workflows.<br>
</li><li>
Designing pipelines, algorithms, agentic workflows and ML models for solving the business problems, based on client communication and research.<br>
</li><li>
Collaborating with cross-functional teams to integrate and deploy AI components in solutions.</li></ul></div><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><ul><li>
0.5-1 year experience working on Machine Learning and Artificial Intelligence related jobs.<br>
</li><li>
BS degree in CS, SE, IT, EE, DS, AI or relevant field.<br>
</li><li>
Good Python programming, problem solving and algorithm design skills.<br>
</li><li>
Knowledge and experience in Generative AI, LLMs, Agentic AI and NLP, including LLM frameworks and techniques like LangChain, LangGraph, LlamaIndex, N8N, CrewAI, Google ADK, Prompt Engineering, Context Engineering, RAG, Agents and LLM Fine-tuning.<br>
</li><li>
Knowledge of Machine Learning and Deep Learning theory and implementation, with expertise in using libraries like SciKit-Learn, TensorFlow, PyTorch and Huggingface-transformers etc.<br>
</li><li>
Experience working on deployment, orchestration and API serving of LLM based and Agentic AI systems.<br>
</li><li>
Experience working on Data Wrangling, Data Engineering and Vector DBs.<br>
</li><li>
Knowledge and experience in Data Analysis, Statistics and Data Visualization.<br>
</li><li>
Staying up to date with the latest AI research, advancements and tools.<br>
</li></ul><div><b>
Office Location:</b> Business Hub, DHA phase VIII, Lahore.</div></div></div></div><p></p>

Associate AI/ML Engineer_01

CLOFTECH (PRIVATE) LIMITED

<p><b>AI/ML Engineer</b></p><p>Experience: 2-3+ Years</p><p>Location: Lahore, Pakistan (Hybrid/Remote)</p><p>Type: Full-Time/Part Time</p><p><b>About the Role</b></p><p>We're seeking an AI/ML Engineer to develop and deploy our Named Entity Recognition (NER) service and predictive analytics capabilities. You'll build ML models that automatically infer semantic meaning from data columns, enabling intelligent schema mapping and automated KPI suggestions.</p><p><b>What You'll Do</b></p><ul><li>Develop and fine-tune NER models (BERT-based) for semantic column inference</li><li>Build and deploy ML models on Amazon SageMaker with real-time inference endpoints</li><li>Create training pipelines for continuous model improvement using customer data patterns</li><li>Implement confidence scoring and threshold logic for auto-mapping vs. human review</li><li>Develop predictive analytics models for customer KPIs (sales trends, utilization, forecasting)</li><li>Build LLM-powered chatbot capabilities for natural language data queries</li><li>Optimize model inference latency and implement batching strategies</li><li>Monitor model performance and implement A/B testing for model versions</li></ul><p><b>Requirements</b></p><ul><li>2-3+ years of experience in ML engineering or applied AI</li><li>Strong Python skills with ML frameworks (PyTorch, TensorFlow, or Hugging Face)</li><li>Experience with NLP tasks (NER, text classification, embeddings)</li><li>Hands-on experience deploying models to production (SageMaker, Docker, or similar)</li><li>Understanding of transformer architectures (BERT, GPT)</li><li>Experience with ML experiment tracking (MLflow, Weights &amp; Biases)</li><li>Familiarity with AWS ML services (SageMaker, Comprehend)</li><li>Strong understanding of ML ops practices and model monitoring</li></ul><p><b>Nice to Have</b></p><ul><li>Experience with LLMs and RAG (Retrieval Augmented Generation) architectures</li><li>Knowledge of vector databases (Pinecone, Weaviate, or pgvector)</li><li>Experience building conversational AI / chatbots</li><li>Background in data quality or schema matching problems</li></ul><p>Job Types: Full-time, Part-time</p><p>Pay: Rs250,000.00 - Rs350,000.00 per month</p><p>Expected hours: 20 &ndash; 40 per week</p><p>Experience:</p><ul><li>AI/ML: 2 years (Required)</li></ul><p>Work Location: In person</p>

AI/ML Engineer

Code Graphers

<p><b>Key Responsibilities:</b></p><ul><li>Advanced Model Development:</li><li>Design and implement complex models using machine learning and deep learning, particularly focusing on natural language processing (NLP), named entity recognition (NER), and large language models (LLMs) such as BERT.</li><li>Create complex AI agent using Langchain, llamaIndex, auto-gen</li><li>Create Retrival Augmented Generation (RAG) Applications</li><li>Multi-agent workflows and bots</li><li>Deep Learning and Neural Network Expertise</li><li>Apply a deep theoretical understanding of neural networks to develop sophisticated models that are both efficient and scalable.</li><li>Cross-Domain Integration</li><li>Incorporate knowledge of image processing to integrate multi-modal systems that leverage both text and visual data.</li><li>Research, Documentation, and Reporting</li><li>writing</li><li>Conduct ongoing research to stay ahead of new trends and techniques in machine learning, deep learning, and AI.</li><li>Creating custom APIs using frameworks such as FAST-API, Django, Flask</li><li>Have experince deploying ML models into production</li><li>Training LLMs with LoRA and QLoRA</li><li>experience with Quantization</li><li>Containerizing code via docker</li><li>Setting up MLOps pipelines with frameworks such as Data version control (DVC)</li><li>Creating Ci/CD pipelines</li><li>Image segmentation</li><li>Object detection</li><li>facial recognition</li></ul><p><b>Qualifications</b>:</p><ul><li>Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, or a related field.</li><li>Experience:</li><li>4 - 6 years of experience in ML model development, including hands-on experience with NLP, NER, and LLMs.</li><li>Experience with neural network design and implementation.</li><li>Technical Skills:</li><li>Proficiency in Python, with good knowledge of ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).</li><li>Experience in developing and implementing models using BERT, RAG, LangChain, and other advanced ML techniques.</li><li>Familiarity with image processing techniques</li><li>Deep theoretical understanding of how models work, including underlying mathematical principles.</li><li>Document methodologies and innovations thoroughly; prepare detailed reports and presentations for technical and non-technical stakeholders.</li><li>Collaborate with cross-functional teams to ensure models are well-integrated into the company&rsquo;s product ecosystem.</li><li>Optimize neural network architectures and parameters for improved performance across various tasks.</li><li>Utilize techniques like Language Model Chaining and Retriever-Augmented Generation (RAG) to enhance text-based applications.</li></ul><p><b>Nice to have :</b></p><ul><li>experience with auto scaling</li><li>experience with GANs</li><li>experience with stable diffusion based models</li><li>experience with 3D neural networks</li><li>experience with Meta learning</li><li>worked on Raspberry PI or embedding systems and deployed ML model onto them before</li></ul><p>Job Type: Full-time</p><p>Ability to commute/relocate:</p><ul><li>Lahore: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Application Question(s):</p><ul><li>Did you Lead the Team before ?</li></ul><p>Experience:</p><ul><li>Machine Learning: 5 years (Required)</li></ul><p>Work Location: In person</p>

Senior Machine Learning Engineer (Team Lead)

Appsians

<p>Appsians is looking for a passionate and proactive <b>AI Automation Engineer</b> with practical experience to join our AI development team. The ideal candidate should be eager to learn, experiment, and contribute to AI/ML-based projects. You will assist in building intelligent systems, integrating AI tools, and optimizing existing models.</p><p><b>Key Responsibilities:</b></p><ul><li>Assist in the development, training, testing, and deployment of machine learning and AI models.</li><li>Apply N8N AI Tool in real-world use cases (e.g., NLP, computer vision, predictive analytics, automation).</li><li>Collaborate with senior engineers and data scientists on AI-based solutions.</li><li>Clean, preprocess, and analyze large datasets for modeling purposes.</li><li>Participate in model validation, performance tuning, and error analysis.</li><li>Write clean, maintainable, and well-documented code.</li><li>Work on AI product features, proof of concepts, and demos using N8N AI Tool.</li><li>Stay updated with the latest trends in AI/ML and suggest ways to implement them.</li><li>Support in integrating AI solutions into web/mobile/cloud-based environments.</li><li>Contribute to AI model monitoring, retraining, and feedback loops.</li></ul><p><b>Required Skills &amp; Qualifications:</b></p><ul><li>Bachelor's degree in Computer Science, Data Science, AI, or related field.</li><li><b>1.5 to 3 years</b> of relevant experience in AI/ML projects.</li><li>Hands-on experience with N8N AI Tool (e.g., model building, automation, workflows).</li><li>Proficiency in Python (preferred), with familiarity in libraries like TensorFlow, PyTorch, Scikit-learn, or Keras.</li><li>Proficiency in React programming language.</li><li>Understanding of supervised/unsupervised learning, classification, regression, etc.</li><li>Familiarity with REST APIs, Git, and version control.</li><li>Good problem-solving and analytical thinking skills.</li><li>Ability to work in a collaborative team environment.</li><li>Strong communication and documentation skills.</li><li>Exposure to cloud platforms (AWS, GCP, Azure) for deploying AI models.</li><li>Experience with LLMs, prompt engineering, or GenAI tools.</li><li>Knowledge of data pipelines or MLOps concepts.</li><li>Experience in integrating AI with web or mobile applications.</li><li>Excellent English communication is essential.</li></ul><p>Send your resume to hr@appsians.com with the subject line: AI Automation Engineer Application</p><p><b>Location: Lahore DHA Phase 4</b></p><p>Job type: Full Time / onsite</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

AI Automation Engineer

Psi Square

<p>We&rsquo;re seeking an experienced Full Stack Developer (4+ years) who can take ownership of complex projects across web, mobile, and AI-powered applications. You should have a proven track record of building scalable backend systems in <b>Python (Django)</b> and delivering modern, responsive user experiences with <b>ReactJS/React Native</b>.<br/>This role goes beyond just coding&mdash;it&rsquo;s about shaping architectures, mentoring junior engineers, and driving innovation as we integrate <b>AI/ML</b> into our products to solve real business challenges.</p><p>Key Responsibilities</p><ul><li>Lead the design, development, and scaling of backend services using Python/Django.</li><li>Build interactive, high-performance web applications (ReactJS) and mobile applications (React Native).</li><li>Architect and implement AI/ML integrations (e.g., recommendation engines, NLP-powered features, automation workflows).</li><li>Define and consume RESTful APIs and ensure smooth communication across services.</li><li>Partner closely with data scientists and AI engineers to deploy ML models into production systems.</li><li>Uphold engineering best practices: code reviews, testing strategies, CI/CD, and system security.</li><li>Diagnose performance bottlenecks and drive long-term, maintainable solutions.</li><li>Contribute to technical decision-making, mentor less experienced developers, and help evolve our tech stack.</li></ul><p>What We&rsquo;re Looking For</p><ul><li><b>4+ years of professional experience</b> in full-stack development with Python/Django and React (web and/or mobile).</li><li>Solid understanding of relational databases (PostgreSQL, MySQL) and ORM frameworks.</li><li>Hands-on experience with AI/ML (TensorFlow, PyTorch, Scikit-learn) or third-party AI APIs (OpenAI, Hugging Face) is highly desirable.</li><li>Exposure to cloud environments (AWS, GCP, Azure) and DevOps practices.</li><li>Strong debugging, problem-solving, and system design skills.</li><li>Excellent communication skills and ability to work collaboratively in cross-functional teams.</li><li>A proactive mindset with the ability to influence technical direction and deliver results in fast-paced environments.</li></ul><p>Job Type: Full-time</p><p>Pay: Rs150,000.00 - Rs225,000.00 per month</p><p>Work Location: In person</p>

Senior Full Stack Developer – Python (Django), React / React Native, AI/ML

Explore 99+ Nlp engineer in Lahore this February. Find roles across top companies and apply now to boost your career.