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White Box

We are seeking an Associate AI Engineer to join our development team. You will work directly on building and optimizing sophisticated AI applications using Generative AI and Computer Vision. Your primary focus will be on NLP tasks, fine-tuning Large Language Models (LLMs), and building robust RAG pipelines.Key Responsibilities:<ul><li>LLM Application Development: Build agents and workflows using Agentic AI Frameworks to automate complex business logic.</li><li>RAG Systems: Design and maintain Retrieval-Augmented Generation pipelines, managing vector databases (Pinecone/Milvus) and optimizing retrieval accuracy.</li><li>Model Fine-Tuning: Assist in fine-tuning open-source models (Llama-3, Mistral) on custom datasets using efficient techniques.</li><li>Computer Vision: Integrate vision capabilities (such as YOLO or multimodal analysis) into agent workflows.</li><li>Deployment: Dockerize AI applications and deploy models on GPU-accelerated environments for inference.</li><li>Data Preparation: Clean and curate datasets for training and vector ingestion.</li></ul>Required Technical Skills:<ul><li>Python Proficiency: Strong coding skills in Python, specifically with AsyncIO and API frameworks like FastAPI.</li><li>Generative AI Stack: Hands-on experience with Voice Models &amp; Speech AI, OpenAI/Anthropic APIs, and HuggingFace transformers.</li><li>NLP Fundamentals: Understanding of embeddings, tokenization, and context window management.</li><li>Vector Databases: Experience implementing RAG using tools like Pinecone, ChromaDB, or Qdrant.</li><li>Deep Learning Basics: Familiarity with PyTorch and the concept of training loops.</li><li>Computer Vision: Basic familiarity with object detection (YOLO) or image processing (OpenCV).</li></ul>Nice to Have:<ul><li>Experience with LangGraph for multi-agent orchestration.</li><li>Knowledge of model evaluation frameworks (RAGAS, etc.).</li><li>Experience serving local models using vLLM or Ollama</li></ul>Job Type: Full-timeWork Location: In person

Associate AI Engineer

Prime System Solutions

<div>
 We're looking for an AI Engineer to design and develop practical AI solutions for our internal operations and client-facing workflows. You'll build intelligent systems that improve accuracy, automate processes, and enhance user experience.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop a chatbot that uses a predefined knowledge base to answer specific questions with accurate, controlled responses
 </li>
 <li>
 Build and optimize an AI-driven ticket routing system that classifies incoming tickets and assigns them to the right teams
 </li>
 <li>
 Work with operations and product teams to shape requirements and convert them into production-ready AI features
 </li>
 <li>
 Maintain model performance, update datasets, and ensure reliability and scalability of AI systems
 </li>
 <li>
 Implement best practices in prompt engineering, data handling, and model evaluation
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Experience with LLMs, NLP, and chatbot development
 </li>
 <li>
 Strong skills in Python and relevant ML frameworks (e.g., PyTorch, TensorFlow)
 </li>
 <li>
 Understanding of classification models and workflow automation
 </li>
 <li>
 Ability to turn business needs into technical solutions
 </li>
 <li>
 Prior experience deploying AI systems in production is a plus. rest api (fast or flask) or backend experience is a plus
 </li>
 </ul>
</div>

AI Engineer

ibex

<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

10Pearls

<div>Company Overview: 
10Pearls is an end-to-end digital technology services partner helping businesses utilize technology as a competitive advantage. We help our customers digitalize their existing business, build innovative new products, and augment their existing teams with high-performance team members. Our broad expertise in product management, user experience/design, cloud architecture, software development, data insights and intelligence, cyber security, emerging tech, and quality assurance ensures that we are delivering solutions that address business needs. 10Pearls is proud to have a diverse clientele including large enterprises, SMBs and high-growth startups. We work with clients across industries, including healthcare/life sciences, education, energy, communications/media, financial services, and hi-tech. Our many long-term, successful partnerships are built upon trust, integrity and successful delivery and execution. 
 
Requirements: 
We are looking for a &ldquo;Principal/Staff Machine Learning Engineer&rdquo;. The ideal candidate should have a Master&rsquo;s degree in Computer Science with 5 &ndash; 8 years of developing machine learning models, with a strong portfolio in Computer Vision and LLMs. 
 
Responsibilities:<ul><li>
Lead the design, development, and deployment of generative AI models, large language models, and retrieval-augmented generation systems.</li><li>
Conduct cutting-edge research in AI, contributing to advancements in image and video analysis, object detection, segmentation, and NLP.</li><li>
Collaborate with product teams to integrate AI/ML technologies into new and existing products.</li><li>
Develop and implement machine learning algorithms and models using state-of-the-art techniques and best practices.</li><li>
Optimize models for performance, scalability, and efficiency on cloud platforms.</li><li>
Implement MLOps practices to streamline the machine learning lifecycle, including model training, deployment, monitoring, and maintenance.</li><li>
Mentor and lead a team of machine learning engineers, fostering a culture of technical excellence.</li><li>
Optimize machine learning workflows for improved model performance and efficiency.</li><li>
Develop and maintain robust data pipelines for model training and inference at scale.</li><li>
Implement rigorous model testing and validation to ensure high-quality deployments.</li><li>
Contribute to the company's intellectual property through innovative research, patents, and publications.</li><li>
Work closely with cross-functional teams, including data scientists, analysts, and other developers, to understand data requirements and implement effective solutions.</li><li>
Stay abreast of industry trends and emerging technologies in AI to maintain a competitive edge.</li><li>
Communicate technical concepts effectively to stakeholders and influence strategic decisions with ML insights.</li></ul>
Requirements:<ul><li>
Advanced degree (Ph.D. or Master's) in Computer Science, Machine Learning, or a related field</li><li>
5+ years of experience in machine learning and deep learning, with a focus on generative AI and large language models.</li><li>
Experience with NLP and text generation models such as GPT, Gemini, LLaMA, or BERT.</li><li>
Experience with LLamaIndex or Langchain for efficient indexing and retrieval of large language model data, optimizing the performance of generative AI systems.</li><li>
Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.</li><li>
Experience with cloud platforms, specifically AWS (SageMaker &amp; Bedrock), GCP (Vertex AI), and Azure (Machine Learning).</li><li>
Knowledge of MLOps tools and practices, including CI/CD, model versioning, and deployment automation.</li><li>
Demonstrated ability to lead and mentor a team of machine learning engineers.</li><li>
Solid understanding of data structures, algorithms, and software engineering principles.</li><li>
Proficiency in data modeling, data pipeline development, and big data technologies.</li><li>
Track record of innovation and thought leadership in the field of AI, evidenced by publications, patents, or conference presentations.</li><li>
Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.</li><li>
Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.</li><li>
Commitment to continuous learning and staying current with the latest ML research and technologies</li></ul>
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Principal/Staff Machine Learning Engineer (Generative AI + LLM)

Digital Dost Pvt Limited

We are seeking a Senior Python Web &amp; AI/ML Engineer with 5+ years of experience to build and deploy scalable web applications and production-grade AI/ML systems. This is an onsite role requiring strong expertise in Python, Machine Learning, and MLOps.Responsibilities<ul><li>Develop Python-based web applications and APIs</li><li>Build and deploy end-to-end ML pipelines</li><li>Design and optimize ML/DL models for production</li><li>Work on NLP, Computer Vision, or predictive modeling use cases</li><li>Deploy models using Docker, Kubernetes, and cloud platforms</li><li>Integrate AI models into production systems</li><li>Optimize, debug, and scale AI pipelines</li></ul>Required Qualifications<ul><li>5+ years of experience in ML, Deep Learning, or Applied AI</li><li>Strong Python skills with TensorFlow, PyTorch, Scikit-learn</li><li>Experience with ML pipelines and MLOps tools (MLflow, Kubeflow, Airflow, DVC)</li><li>Hands-on experience with Docker, Kubernetes, and API deployment</li><li>Experience with SQL and NoSQL databases</li><li>Knowledge of AWS, Azure, or GCP</li><li>Strong software engineering fundamentals</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in CS, AI, ML, Data Science, or related field</li></ul>Preferred Qualifications<ul><li>Experience with LLMs, Generative AI, RAG, and prompt engineering</li><li>Experience with vector databases (Pinecone, FAISS, Weaviate, ChromaDB)</li><li>Experience with real-time inference systems</li><li>Background in Big Data or Data Engineering (Spark, Kafka, Databricks)</li><li>Open-source, research, or Kaggle experience</li></ul>Job Type: Full-timePay: Rs300,000.00 - Rs500,000.00 per monthWork Location: In person

Senior Python Web & AI/ML Engineer (Onsite)

Argon Tech

ARGONTEQ is seeking a dedicated Data Scientist with strong expertise in Large Language Models (LLMs). The ideal candidate will work independently, leveraging LLMs to develop AI solutions while coordinating with ARGONTEQ for smooth delivery and accountability.Key Responsibilities<ul><li>Develop and implement LLM-based solutions using prompt engineering, model fine-tuning, embeddings, and RAG pipelines.</li><li>Integrate LLMs through APIs and optimize model performance.</li><li>Maintain consistent progress and communicate updates effectively.</li><li>Work independently with minimal supervision.</li></ul>Required Skills &amp; Experience3+ years of hands-on experience in Data Science and LLM-based systems.<ul><li>Prompt engineering</li><li>LLM fine-tuning</li><li>Embeddings and vector databases</li><li>RAG architectures</li><li>API-based LLM integrations</li><li>Ability to work independently with minimal supervision.</li><li>Strong problem-solving and execution-focused mindset.</li></ul>Availability<ul><li>5&ndash;6 hours daily, ensuring steady progress and accountability.</li></ul>Job Types: Part-time, ContractExpected hours: 5 per weekApplication Question(s):<ul><li>Please share your current and expected salary.</li></ul>Experience:<ul><li>Data Science(LLM): 3 years (Preferred)</li></ul>Work Location: Hybrid remote in Lahore Johar Town

Data Scientist (LLM Specialist)

Digixvalley Pvt Ltd

Key Responsibilities:<ul><li>Assist in the development, testing, and deployment of AI chatbots using local and cloud-based LLMs.</li><li>Support in building RAG (Retrieval-Augmented Generation) systems, including vector search and semantic retrieval.</li><li>Work with Qdrant and embedding models to manage collections, vectors, and similarity search.</li><li>Help develop FastAPI endpoints for AI services and WhatsApp/other messaging integrations.</li><li>Participate in processing training data, embeddings, and conversation history pipelines.</li><li>Implement and refine LLM-based intent detection, response ranking, and fallback systems.</li><li>Collaborate on model optimization, prompt tuning, and improving response accuracy.</li><li>Assist in deploying real-time AI systems for customer service automation.</li><li>Contribute to knowledge base creation, FAQ structuring, and dynamic response generation.</li><li>Write clean, maintainable, and well-documented code for AI modules.</li><li>Stay updated on conversational AI, RAG methodologies, LLM improvements, and vector database innovations.</li><li>Support integrating AI services into cloud environments and multi-tenant architectures.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, AI, Data Science, or a related field.</li><li>0.5 &ndash; 2 years of experience working on AI/ML or chatbot projects.</li><li>Hands-on experience with LLMs (OpenAI, Ollama, Hugging Face) and prompt engineering.</li><li>Understanding of vector databases such as Qdrant, Pinecone, or ChromaDB.</li><li>Experience working with embedding models, semantic search, or RAG pipelines.</li><li>Proficiency in Python, especially FastAPI, async workflows, and API development.</li><li>Familiarity with supervised/unsupervised ML concepts and evaluation techniques.</li><li>Understanding of REST APIs, Git, and version control workflows.</li><li>Good analytical, debugging, and problem-solving skills.</li><li>Ability to work in a collaborative, fast-paced engineering environment.</li><li>Exposure to cloud platforms (AWS/GCP/Azure) for deploying AI applications.</li><li>Basic understanding of MLOps, retraining pipelines, or model monitoring.</li></ul>Job Type: Full-timeWork Location: In person

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178 nlp engineer jobs IN Lahore

Associate AI Engineer

AI Engineer

Data Scientist, Tech

Principal/Staff Machine Learning Engineer (Generative AI + LLM)

Senior Python Web & AI/ML Engineer (Onsite)

Data Scientist (LLM Specialist)

Associate AI Engineer