ai/ml engineer

associate software engineer Jobs in Lahore

associate software engineer

senior data engineer

principal software engineer Jobs in Lahore

principal software engineer

qa automation engineer ii

senior ai ml engineer

HUMAN FORCE GROUP

We&rsquo;re looking for a Senior AI/ML Engineer to join our growing AI services company as a foundational technical leader. You&rsquo;ll design and build production-grade AI/ML solutions across computer vision, NLP, and generative AI, while mentoring and leading a team as we scale.What You&rsquo;ll Do :&#9679; Architect and develop end-to-end AI/ML solutions from data processing to deployment, across diverse domains (vision, NLP, GenAI, predictive systems).&#9679; Design scalable pipelines, implement best practices, and set engineering standards.&#9679; Guide algorithm/model selection, review code, debug complex issues, and make key technical decisions.&#9679; Mentor and upskill junior engineers, fostering a strong learning and innovation culture.&#9679; Collaborate with clients and cross-functional teams to define solutions that are robust, accurate, and scalable.&#9679; Stay ahead of industry trends and emerging technologies to keep our solutions cutting-edge.What You Bring: &#9679; 5+ years of hands-on experience building and deploying ML models in production. &#9679; Strong expertise in:&#9675; Computer Vision &ndash; CNNs, OpenCV, TensorFlow/PyTorch, transfer learning, detection/segmentation models.&#9675; NLP &ndash; Transformers (BERT, T5, GPT), tokenization, embeddings, HuggingFace, spaCy/NLTK.&#9675; Generative AI &ndash; LLM orchestration (LangChain), RAG, chatbots, prompt engineering, vector DBs (FAISS/Pinecone).&#9679; Solid ML foundations (classical algorithms, feature engineering, evaluation) with Python, Scikit-learn, XGBoost/LightGBM.&#9679; Deployment experience on AWS/Azure/GCP, FastAPI/Flask, Docker/Kubernetes, CI/CD, and MLOps best practices.&#9679; Excellent communication, problem-solving, and mentorship abilities with a track record of guiding teams technically.Nice to Have&#9679; Startup or consulting experience handling multiple AI projects simultaneously&#9679; Experience with real-time inference, model optimization (quantization/pruning), or edge deployment&#9679; Contributions to open-source or published work in AI/MLJob Type: Full-timeWork Location: In person

Senior AI / ML Engineer

Force Cloud LLC

CrecenTech

We are looking for a strategic and technically skilled AI/ML Lead to define and drive our organization&rsquo;s artificial intelligence roadmap. This key leadership position blends advanced hands-on AI/ML development with strategic oversight. The ideal candidate will design and deliver scalable AI solutions, lead engineering teams, and embed intelligent capabilities into our core platforms and products. We seek someone who is both visionary and results-driven&mdash;capable of turning complex business needs into real-world, impactful AI applications.Key Responsibilities:<ul><li>Design and deploy end-to-end AI/ML solutions across areas such as:</li><li>Computer Vision: Object detection, OCR, facial recognition</li><li>Natural Language Processing (NLP): Semantic search, chatbots, summarization</li><li>AI Agents &amp; Knowledge Bots: RAG (retrieval-augmented generation), agentic workflows</li><li>Predictive Analytics: Classification, forecasting, and recommendations</li><li>Customize and fine-tune pre-trained and open-source models using production data</li><li>Integrate AI capabilities into platforms such as StaffViz and internal CRMs</li><li>Architect AI systems utilizing vector databases, knowledge bases, and RAG methods</li><li>Mentor engineering teams on AI/ML tools, methodologies, and best practices</li><li>Collaborate closely with DevOps and software teams for smooth deployments</li><li>Stay current with industry advancements in AI, research trends, and tools</li></ul>Required Technical Skills:<ul><li>Strong command of Python, PyTorch, TensorFlow, Scikit-learn</li><li>Experience with frameworks like Hugging Face Transformers, LangChain, LlamaIndex, Haystack</li><li>API development using FastAPI or Flask</li><li>Solid understanding of Docker, Git, and CI/CD workflows</li></ul>Hands-on Expertise In:<ul><li>Computer Vision: YOLOv8, Detectron2, SAM, CLIP, OpenCV</li><li>LLMs/NLP: LLaMA 2, Falcon, Mistral, T5, GPT-J, Zephyr, Orca</li><li>Speech AI: Whisper, Coqui TTS, ESPnet</li><li>AI Agents: CrewAI, AutoGPT, BabyAGI</li><li>Vector Databases: Weaviate, Pinecone, ChromaDB, FAISS</li><li>Predictive Modeling: XGBoost, LightGBM, Prophet</li></ul>Preferred Tools &amp; Experience:<ul><li>Experiment tracking with MLFlow or Weights &amp; Biases</li><li>Familiarity with cloud-based AI services (AWS, GCP, Azure)</li></ul>Leadership &amp; Collaboration:<ul><li>Proven team leadership and mentoring experience</li><li>Strong communication and problem-solving skills</li><li>Ability to manage cross-functional initiatives in dynamic environments</li></ul>Qualifications:<ul><li>8+ years of experience in AI/ML development</li><li>At least 4 years in a technical or team leadership role</li><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, Data Science, or related fields</li><li>Demonstrated success in delivering AI solutions from concept to production</li></ul>Employee Benefits:<ul><li>13 Salaries Per Year (1 Salary as a Bonus)</li><li>At least two bonuses per year (Eid Bonus)</li><li>Monthly Punctuality Allowance</li><li>Monthly Inflation Allowance</li><li>Performance-Based Bonuses</li><li>Annual Leaves Encashment</li><li>Maternity/Paternity Allowance</li><li>Maternity Leaves</li><li>Wedding Allowance</li><li>Double salary on Gazetted Holidays</li><li>12 Casual Leaves</li><li>10 Medical Leaves</li><li>10 Annual Leaves</li><li>Dedicated Training</li><li>Birthday celebrations</li><li>Gaming Facility</li><li>Growing &amp; Dynamic Team</li><li>Office Gatherings, Celebrations, and Trips</li><li>5 days a week (work-life balance)</li></ul>Job Location: Model Town Link Road, Lahore Job Timings: Evening ShiftJob Type: Full-timeApplication Question(s):<ul><li>Have you deployed AI/ML models into production environments using tools like FastAPI, Docker, and CI/CD pipelines?</li><li>What are your salary expectations?</li><li>Are you comfortable working evening shifts?</li><li>Have you fine-tuned or deployed large language models (LLMs) such as LLaMA 2, Falcon, or Mistral?</li><li>Are you familiar with cloud AI services like AWS SageMaker, Google Vertex AI, or Azure ML?</li><li>Have you spent a minimum of 4 years in a technical leadership or team lead role?</li></ul>Experience:<ul><li>AI/ML: 8 years (Preferred)</li></ul>Work Location: In person

Senior Lead AI/ML Engineer

Devsinc

<div>
 Devsinc is seeking a highly skilled Senior AI/ML Engineer with a strong background in Python, machine learning, and deep learning frameworks. The ideal candidate will thrive in cloud environments (AWS, Azure, GCP, Databricks), excel at designing innovative AI solutions, and demonstrate technical leadership, effective communication, and ownership of the end-to-end machine learning lifecycle.
 
 
 
 Requirements
 
 
 
 
 Experience
 
 :
 
 5+ years in AI/ML engineering
 
 with proven experience building and deploying production-grade solutions.
 
 
 
 Education:
 
 Bachelor's in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. A Master's degree in CS, AI/ML or related discipline is a plus but not mandatory.
 
 
 
 Programming
 
 : Active coder, proficient in Python 3.x, strong OOP skills, and familiarity with modern Python features.
 
 
 
 Core AI/ML Knowledge
 
 : Deep expertise in Machine Learning, Deep Learning, NLP, Computer Vision, LLMs, Generative AI, and Agentic AI.
 
 
 
 Preferred
 
 : Experience with LangChain, RAG (Retrieval-Augmented Generation), knowledge graphs, multi-agent AI systems, and visualization tools like Tableau or Power BI.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable, secure AI and ML applications using Python, ML frameworks (TensorFlow, PyTorch), and cloud services.
 </li>
 <li>
 Architect, implement, and optimize machine learning models and algorithms to power AI-driven features, enhancing user interaction and business value.
 </li>
 <li>
 Integrate third-party AI/ML APIs and services into existing web and enterprise applications.
 </li>
 <li>
 Champion a data-driven culture, ensuring consistent delivery of high-impact AI enhancements.
 </li>
 <li>
 Lead LLM use cases (open-source, fine-tuned, customized) across NLP tasks such as summarization, writing assistance, knowledge extraction, and conversational AI.
 </li>
 <li>
 Drive innovation in Generative AI and Agentic AI systems to enable autonomous task execution, reasoning, and decision-making.
 </li>
 <li>
 Lead and participate in NLP and Computer Vision initiatives, mentoring team members and fostering collaboration.
 </li>
 <li>
 Own the complete ML lifecycle: data preprocessing, model design, training, evaluation, deployment, monitoring, and retraining pipelines.
 </li>
 <li>
 Provide clear technical communication, documentation, and cross-team collaboration.
 </li>
 <li>
 Actively troubleshoot, debug, and optimize models and systems for production-grade reliability and performance
 
 
 </li>
 </ul>
 
 Core Expertise
 
 :
 
 
 <ul>
 <li>
 NLP &amp; CV with hands-on experience in Transformer-based models.
 </li>
 <li>
 Strong knowledge of libraries: numpy, pandas, scikit-learn, TensorFlow, PyTorch, Keras, Hugging Face Transformers, etc.
 </li>
 <li>
 Proven ability to fine-tune and deploy LLMs for real-world applications.
 </li>
 <li>
 Expertise in Generative AI and emerging Agentic AI frameworks
 
 
 </li>
 </ul>
 
 Cloud &amp; Infrastructure
 
 :
 
 
 <ul>
 <li>
 Skilled with AWS, Azure, GCP, and Databricks (Lambda/Serverless, S3, SQS, SNS, EC2)
 </li>
 <li>
 Proficiency in Docker, container orchestration, and microservices
 </li>
 <li>
 Experience with distributed systems and messaging platforms
 
 
 </li>
 </ul>
 
 Software Engineering
 
 :
 
 
 <ul>
 <li>
 Familiarity with design principles: SOLID, Dependency Injection, Service Containers
 </li>
 <li>
 Experience in Django/Flask web frameworks.
 </li>
 <li>
 Strong version control, code review, and repo management with Git.
 
 
 </li>
 </ul>
 
 Testing &amp; Monitoring
 
 :
 
 
 <ul>
 <li>
 Skilled in ML testing methodologies (unit, integration, performance, load testing).
 </li>
 <li>
 Knowledge of data visualization, monitoring, and alerting tools.
 
 
 </li>
 </ul>
 
 Databases
 
 :
 
 
 <ul>
 <li>
 Strong SQL and ORM knowledge (SQLAlchemy, PostgreSQL, MySQL).
 
 
 </li>
 </ul>
 
 Soft Skills
 
 :
 
 
 <ul>
 <li>
 Excellent communication and presentation skills to engage with technical and non-technical stakeholders.
 </li>
 <li>
 Strong problem-solving mindset with the ability to break down complex challenges into practical AI solutions.
 </li>
 <li>
 Leadership qualities with the ability to mentor junior engineers and collaborate effectively in cross-functional teams
 
 
 </li>
 </ul>
 
 Why Join Devsinc?
 
 
 
 At Devsinc, you'll be part of a forward-thinking team pushing the boundaries of AI/ML innovation. If you're passionate about
 
 cutting-edge AI systems, Generative AI, and real-world applications of agentic AI
 
 , and have the expertise to deliver end-to-end ML solutions, we encourage you to apply.
</div>

Senior AI/Machine Learning Engineer

Appsians

Appsians IT Solution is looking for a passionate and proactive AI/ML Engineer 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.Key Responsibilities:<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>Required Skills &amp; Qualifications:<ul><li>Bachelor's degree in Computer Science, Data Science, AI, or related field.</li><li>1.5 year to 3 years 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>Send your resume to hr@appsians.com with the subject line: &ldquo;AI/ML Developer Application Location: Lahore DHA Phase 4 Job type: Full Time / onsiteJob Type: Full-timePay: Rs70,000.00 - Rs80,000.00 per monthWork Location: In person

AI/ML Engineer

Harris Silicone & Glass Pvt. Ltd.

Junior Machine Learning / AI Engineer (Computer Vision &amp; Generative AI &ndash; LLMs)Location: On-siteExperience: 6 months &ndash; 1 yearType: Full-timeAbout the RoleWe&rsquo;re looking for a passionate Junior ML/AI Engineer with foundations in Computer Vision and Generative AI using Large Language Models (LLMs).You&rsquo;ll work on real-world AI systems combining visual intelligence (face recognition, detection, tracking) with language understanding and generation (LLM-based automation, chat systems, data agents).If you&rsquo;re excited by models like GPT, LLaMA, Mistral, or Claude, and love integrating vision + language to create smart systems &mdash; this role is for you!Key Responsibilities&middot; Build and optimize computer vision pipelines (detection, tracking, face recognition, etc.) using frameworks like OpenCV, YOLO, and InsightFace&middot; Develop LLM-powered applications (chatbots, summarizers, document understanding tools, etc.)&middot; Fine-tune and prompt LLMs (OpenAI GPTs, LLaMA, Mistral, Phi, etc.) for domain-specific use cases&middot; Integrate ML and LLM models into scalable backends (FastAPI, Flask)&middot; Collaborate on multimodal AI projects combining image and text intelligence&middot; Deploy models efficiently using Docker or ONNX Runtime&middot; Experiment with open-source models from Hugging Face and LangChain, LangGraphRequired Skills &amp; Tools&middot; Core ML &amp; AI:&middot; Python, NumPy, Pandas, Scikit-learn&middot; PyTorch or TensorFlow&middot; OpenCV, Mediapipe, InsightFace, YOLOv8Generative AI / LLMs:&middot; Hugging Face Transformers&middot; OpenAI API / Ollama / LLaMA / Mistral / Phi&middot; LangChain, LangGraph, LlamaIndex, or Haystack&middot; Prompt engineering and few-shot tuning&middot; Tokenization, embeddings, and retrieval-augmented generation (RAG)&middot; Knowledge of vector databases (FAISS, Chroma, Pinecone)Development &amp; Integration:&middot; FastAPI or Flask&middot; REST APIs, JSON, async programming&middot; Docker, Git, and basic CI/CD&middot; Bonus Skills (Nice to Have):&middot; Fine-tuning LLMs with LoRA or PEFT&middot; GPU usage (CUDA, cuDNN)&middot; Familiarity with MLOps tools (Weights &amp; Biases, MLflow, DVC)Qualifications&middot; Bachelor&rsquo;s degree in Computer Science, AI, Data Science, or related field&middot; 6 months &ndash; 1 year of practical experience (internship, research, or projects)&middot; Strong understanding of ML fundamentals and interest in generative AIWhy Join Us&middot; Work on real applied AI projects in vision and language&middot; Learn directly from senior AI engineers and researchers&middot; Gain experience with state-of-the-art LLM frameworks and tools&middot; Access to GPU-powered systems, real-world data, and production pipelines&middot; A collaborative, innovative, and growth-driven cultureApply Now: https://hsxtech.odoo.com/jobs/junior-ai-developer-22Job Type: Full-timeWork Location: In person

Junior Machine Learning / AI Engineer

BM Global

Job Title: Data Science Engineer (AI/ML Expertise)Location: On-site ( Eithad town, raiwand road Lahore)Job Type: ContractualExperience: 3+ yearsSalary: 120k - 250kTimings: 9:00 pm - 4:00 am&#11835;Job Overview:We are seeking a highly skilled Data Science Engineer with strong expertise in Artificial Intelligence (AI) and Machine Learning (ML) to join our fast-paced, innovation-driven engineering team.The ideal candidate will be responsible for designing, developing, and deploying scalable machine learning solutions, building intelligent data pipelines, and integrating AI-driven insights into production systems.You will work closely with cross-functional teams &mdash; including data engineers, product managers, and software developers &mdash; to transform raw data into actionable intelligence and production-ready ML models.&#11835;Key Responsibilities:<ul><li>Design and implement end-to-end machine learning and deep learning models for predictive analytics, NLP, and computer vision use cases.</li><li>Build and optimize data pipelines and ETL workflows for efficient model training and inference.</li><li>Develop and maintain AI/ML microservices using Python (FastAPI, Flask, or Django) and integrate them into enterprise systems.</li><li>Perform exploratory data analysis (EDA), feature engineering, and statistical modeling to extract business insights.</li><li>Research, experiment with, and apply cutting-edge AI techniques (transformers, LLMs, reinforcement learning, etc.).</li><li>Deploy, monitor, and scale ML models in production environments using MLOps tools and cloud platforms (AWS, Azure, or GCP).</li><li>Collaborate with data engineers to ensure data quality, governance, and real-time accessibility.</li><li>Use version control, CI/CD, and containerization tools (Git, Docker, Kubernetes) to streamline model deployment.</li><li>Continuously evaluate model performance and retrain pipelines to ensure accuracy and reliability.</li><li>Present data-driven insights and AI strategies to both technical and non-technical stakeholders.</li></ul>&#11835;Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or related field.</li><li>3+ years of hands-on experience in data science, AI, and machine learning engineering.</li><li>Strong programming skills in Python and proficiency with ML frameworks: TensorFlow, PyTorch, Scikit-learn, Keras.</li><li>Deep understanding of machine learning algorithms, deep learning architectures (CNN, RNN, LSTM, Transformers), and NLP techniques.</li><li>Experience with data manipulation tools: Pandas, NumPy, Dask, Spark, or Hadoop.</li><li>Solid knowledge of SQL/NoSQL databases (PostgreSQL, MongoDB, Cassandra, Redis).</li><li>Proven experience in deploying ML models to production using APIs or containerized solutions.</li><li>Familiarity with cloud and DevOps tools: AWS (S3, SageMaker, Lambda, EC2), Azure ML, or GCP AI Platform.</li><li>Strong background in data visualization (Matplotlib, Seaborn, Power BI, or Tableau).</li><li>Excellent problem-solving, analytical, and communication skills.</li></ul>&#11835;Preferred Qualifications:<ul><li>Experience building AI-driven systems in healthcare, fintech, or SaaS environments.</li><li>Exposure to big data streaming (Kafka, Flink) and real-time ML inference.</li><li>Understanding of MLOps practices &mdash; model versioning, monitoring, retraining pipelines.</li><li>Contributions to open-source AI/ML projects or research publications.</li><li>Familiarity with LLMs, generative AI, and prompt engineering.</li></ul>&#11835;What We Offer:<ul><li>Competitive salary and performance-based incentives.</li><li>Exposure to large-scale AI-driven projects with measurable business impact.</li><li>Professional growth opportunities with access to state-of-the-art ML infrastructure.</li><li>Collaborative team culture with mentorship and innovation at its core.</li></ul>Job Type: Full-timePay: Rs120,000.00 - Rs250,000.00 per monthWork Location: On the road

DATA SCIENTIST

Explore 671+ Senior ai ml engineer in Lahore this October. Find roles across top companies and apply now to boost your career.

671 senior ai ml engineer jobs IN Lahore

Senior AI / ML Engineer

Senior AI / ML Engineer

Senior Lead AI/ML Engineer

Senior AI/Machine Learning Engineer

AI/ML Engineer

Junior Machine Learning / AI Engineer

DATA SCIENTIST