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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

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

Cube Discipline

Key Responsibilities<ul><li>Lead the design, development, and deployment of AI/ML models and systems.</li><li>Collaborate with data scientists, engineers, and business stakeholders to identify opportunities for AI-driven solutions.</li><li>Architect scalable ML pipelines for training, testing, and deploying models.</li><li>Ensure model accuracy, reliability, and performance in production environments.</li><li>Stay updated with advancements in AI/ML frameworks, tools, and research.</li><li>Mentor and guide junior engineers, promoting best practices in ML engineering.</li><li>Work with cloud platforms (AWS, GCP, Azure) for scalable AI deployments.</li><li>Oversee model monitoring, retraining, and lifecycle management.</li></ul>Requirements<ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field (PhD preferred).</li><li>6&ndash;10+ years of proven experience in AI/ML roles.</li><li>Strong expertise in Python, TensorFlow, PyTorch, Scikit-learn, and related frameworks.</li><li>Hands-on experience with NLP, Computer Vision, or Generative AI models.</li><li>Solid understanding of data engineering, feature engineering, and big data tools (Spark, Hadoop, etc.).</li><li>Experience in MLOps, CI/CD pipelines, and containerization (Docker, Kubernetes).</li><li>Strong problem-solving, analytical, and leadership skills.</li></ul>Preferred Skills<ul><li>Experience with LLMs (Large Language Models) and transformer-based architectures.</li><li>Knowledge of reinforcement learning or advanced optimization techniques.</li><li>Publications or contributions to AI/ML research communities.</li><li>AI/ML certifications from leading platforms (Google, AWS, etc.).</li></ul>Job Type: Full-timeWork Location: In person

Lead AI/ML Engineer

Tek Headquarters

About Us:TEKHQS is a global technology solutions provider headquartered in Lake Forest, California, with an offshore team of 300+ experts based in Pakistan. We specialize in Web 2.0 (Web &amp; Mobile App Development), Web 3.0 (Blockchain &amp; Crypto Platform Development), AI/ML Solutions, and ERP services as a certified partner of SAP S/4HANA, Oracle NetSuite, and Microsoft Dynamics 365 Business Central. Our expertise includes implementation, training, customization, integration, support, IT staff augmentation, and certified ERP consultancy.About the RoleWere looking for a passionate Mid-Level AI/ML Software Engineer with &#65279;2-3 years experience to join TEKHQS in Lahore. Youll work on exciting AI and machine learning projects, helping build and deploy innovative solutions in deep learning and generative AI. This role is perfect for someone eager to dive into real-world AI challenges, learn cutting-edge techniques, and contribute to our global tech solutions. Expect to work with raw data, experiment with models, and collaborate with a talented team to bring ideas to life.Key Responsibilities<ul><li>&#65279;Build and train AI models, including transformer-based models (e.g., BERT, GPT, or similar), using GPU-based environments.</li><li>Support the development of GenAI systems, including tasks like data preprocessing, model training, and fine-tuning.</li><li>Experiment with model optimization techniques, such as quantization or efficient attention mechanisms.</li><li>Help implement state-of-the-art AI methods from research papers or open-source frameworks.</li><li>Manage parts of the model lifecycle: data preparation, training, evaluation, and deployment.</li><li>Work with multi-modal data (e.g., text, images) to support cross-domain AI applications.</li><li>Collaborate with senior engineers to optimize models for performance, including low-latency inference and memory efficiency.</li><li>Write clean, modular Python code and contribute to CI/CD pipelines for model deployment.</li></ul>Requirements:Core AI/ML Skills:<ul><li>Familiarity with deep learning concepts like transformers, self-attention, or normalization techniques (e.g., LayerNorm).</li><li>Basic understanding of token sampling (e.g., Top-k, Top-p) or training strategies like curriculum learning.</li><li>Experience with supervised or unsupervised learning (e.g., classification, regression, or masked modeling).</li></ul>Training Infrastructure:<ul><li>Hands-on experience with Python-based ML frameworks like PyTorch, TensorFlow, or HuggingFace.</li><li>Exposure to distributed training or mixed precision (e.g., fp16) is a plus.</li><li>Familiarity with data formats like CSV, JSON, or Parquet for model training.</li></ul>Model Optimization &amp; Serving:<ul><li>Basic knowledge of model optimization techniques (e.g., quantization or pruning).</li><li>Exposure to model serving tools (e.g., HuggingFace Inference, ONNX, or similar) is a plus.</li></ul>GenAI Systems:<ul><li>Interest in generative AI, including LLMs or Retrieval-Augmented Generation (RAG).</li><li>Familiarity with tokenizers (e.g., Byte Pair Encoding or SentencePiece) is a bonus.</li></ul>Software Engineering:<ul><li>Ability to write clean, testable Python code.</li><li>Basic experience with version control (e.g., Git) and CI/CD pipelines.</li><li>Familiarity with Docker or profiling tools (e.g., PyTorch Profiler) is a plus.</li></ul>Mathematical Foundations:<ul><li>Understanding of core concepts like gradient descent, loss functions (e.g., cross-entropy), or basic linear algebra.</li><li>Comfortable with probability and statistics for data analysis or model evaluation.</li></ul>Job Details:Experience: Minimum 3 years of AI/ML or software development experience, including 1+ year in deep learning or GenAI projects.Job Type: HybridJob Type: Full-timeWork Location: In person

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

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 306+ Ml engineer in Lahore this October. Find roles across top companies and apply now to boost your career.

306 ml engineer jobs IN Lahore

AI/ML Engineer

Senior AI / ML Engineer

Senior AI / ML Engineer

Lead AI/ML Engineer

AI/ML Engineer

Senior Lead AI/ML Engineer

DATA SCIENTIST