software engineer Jobs in House Jobs In Charge Design Mechanical Jobs In Lahore

software engineer

ai engineer Jobs in House Jobs In Charge Design Mechanical Jobs In Lahore

ai engineer

ai / ml engineer Jobs in House Jobs In Charge Design Mechanical Jobs In Lahore

ai / ml engineer

ai engineer (in-house) Jobs in House Jobs In Charge Design Mechanical Jobs In Lahore

ai engineer (in-house)

ai engineer (machine learning & prd specialist) Jobs in House Jobs In Charge Design Mechanical Jobs In Lahore

ai engineer (machine learning & prd specialist)

ai engineer machine learning prd specialist

Rapid Labs

About Us: Rapid Labs is a leader in the AI revolution, building innovative solutions across industries such as Retail, Healthcare, Legal, and Finance. We leverage AI technologies like Computer Vision, NLP, and AI-powered Chatbots to enhance user experiences and streamline operations. Join us to contribute to impactful AI solutions and shape the future of intelligent systems.Job Overview: We are seeking a talented AI Engineer with 2+ years of experience in machine learning and AI development, who can also create clear and actionable Product Requirements Documents (PRDs). The ideal candidate will design, develop, and deploy machine learning models, while translating business and product requirements into technical specifications for AI solutions.Key Responsibilities:<ul><li>Design, develop, and deploy machine learning models and AI systems.</li><li>Translate business needs and product goals into detailed PRDs including functional requirements, user stories, success metrics, and constraints.</li><li>Conduct data analysis, preprocessing, and feature engineering to support model development.</li><li>Integrate AI models into production systems in collaboration with engineers, data scientists, and product managers.</li><li>Optimize models for performance, reliability, and scalability.</li><li>Stay up-to-date with the latest AI research, tools, and best practices.</li><li>Document AI workflows, pipelines, and system architectures clearly for team and stakeholder use.</li><li>Participate in cross-functional meetings to ensure alignment of AI development with business objectives.</li><li>Work during night hours to support global teams and ensure timely delivery of projects.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field.</li><li>2+ years of hands-on experience in machine learning, AI, or related roles.</li><li>Strong programming skills in Python, experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn.</li><li>Knowledge of cloud platforms (AWS, GCP, Azure) preferred but not mandatory.</li><li>Strong understanding of data structures, algorithms, and software engineering principles.</li><li>Experience with model deployment, monitoring, and production pipelines.</li><li>Ability to create clear, detailed PRDs and translate business requirements into technical specifications.</li><li>Strong problem-solving, analytical thinking, and attention to detail.</li><li>Excellent communication skills and ability to collaborate with cross-functional teams.</li><li>Ability to work independently with minimal supervision.</li></ul>Salary &amp; Benefits:<ul><li>Competitive salary and fringe benefits</li><li>Paid Time Off &amp; Leave Encashment</li><li>EOBI</li><li>Professional Development &amp; Career Advancement</li><li>Team Building Activities &amp; Company Trips</li><li>Innovative Work Environment &amp; Wellness Programs</li><li>Performance-Based Promotions</li></ul>Location: TAMC Building, Gulberg-III, Lahore. Office Hours: 05:00 PM &ndash; 02:00 AM (Monday to Friday)Job Type: Full-timeApplication Question(s):<ul><li>How many years of experience do you have in creating Product Requirements Documents (PRDs)?</li><li>Have you independently created Product Requirements Documents (PRDs) from start to finish?</li><li>What is your current / last drawn salary?</li><li>What is your expected salary?</li><li>Are you willing to work on site in gulberg III from 05:00PM - 02:00 Am (Monday - Friday)</li><li>What is your notice period with the current employer (in days)?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI / ML: 2 years (Required)</li></ul>Language:<ul><li>English fluently (Preferred)</li></ul>Location:<ul><li>Lahore Gulberg Colony (54660) (Preferred)</li></ul>Work Location: In person

AI Engineer (Machine Learning & PRD Specialist)

Axiom World Pvt Ltd

We are looking for a motivated and passionate Machine Learning Engineer Intern to join our dynamic and collaborative team. As an intern, you will have the opportunity to work on real-world machine learning projects, contribute to AI solutions, and gain hands-on experience in the development and deployment of machine learning models. This internship is ideal for individuals who are eager to learn, grow, and make meaningful contributions in the field of AI.Key Responsibilities:<ul><li>Assist in developing and deploying machine learning models for real-world applications.</li><li>Support the optimization of existing models to improve performance and scalability.</li><li>Collaborate with data scientists and engineers to collect and preprocess data.</li><li>Participate in research and stay informed about the latest developments in AI and machine learning.</li><li>Contribute to building tools and pipelines for model training, evaluation, and deployment.</li><li>Write clean, well-documented code to support ML workflows.</li><li>Help document experiments, processes, and learnings for future reference.</li></ul>Requirements:<ul><li>Some hands-on experience or academic background in machine learning or AI projects (coursework, personal projects, or competitions).</li><li>Familiarity with machine learning algorithms and concepts.</li><li>Proficiency in Python and common data science libraries such as Pandas, NumPy, and Scikit-Learn.</li><li>Exposure to deep learning frameworks such as TensorFlow, PyTorch, or HuggingFace is required.</li><li>Familiarity with Agentic AI Framework such as Langchain, Langgraph, Llama index,etc (Would be a Plus point).</li><li>Interest or experience in NLP tools like SpaCy, Gensim, or transformers is advantageous.</li><li>Basic understanding of model deployment tools like FastAPI is required.</li><li>Strong analytical and problem-solving mindset with a keen attention to detail.</li><li>Effective communication and collaboration skills.</li><li>Eagerness to learn, take initiative, and adapt to new technologies and practices.</li></ul>What we Offer:<ul><li>Health Insurance</li><li>Axiom Sports Complex</li><li>Paid Certifications</li><li>Paid Leaves</li><li>Recognition &amp; Reward System</li></ul>Office Time: 03 pm - 12 am Location : Lahore (Onsite)Job Type: Internship Contract length: 3 monthsPay: Rs25,000.00 - Rs30,000.00 per monthWork Location: In person

ML/AI Engineer Intern

DataDoers

<div>
 
 Company Description
 
 
 Data Doers is a team of Data &amp; AI experts dedicated to enabling AI Innovation and Advanced Analytics for Startups and SMEs. The company believes in the power of AI-powered data analytics to drive informed decisions, improve efficiency, drive customer insights, foster innovation, and boost revenue and competitiveness for businesses of all sizes.
 
 
 
 
 
 Role Description
 
 
 We are seeking a talented and driven Data Scientist/Machine Learning Engineer to join our dynamic team. In this role, you will be instrumental in developing and deploying cutting-edge Natural Language Processing (NLP) models to solve complex business problems. You will leverage your expertise in machine learning, deep learning, and NLP to design, implement, and optimize models for text classification, named entity recognition, information extraction, and other related tasks. You will collaborate closely with cross-functional teams, contribute to the entire machine-learning lifecycle, and ensure the scalability and reliability of our deployed solutions.
 
 
 
 
 
 
 
 Required Qualifications:
 
 <ul>
 <li>
 5+ years of experience in data science or machine learning.
 </li>
 <li>
 PhD or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 Proven experience in Natural Language Processing (NLP) and developing state-of-the-art (SOTA) models.
 </li>
 <li>
 Experience in advanced prompt engineering.
 </li>
 <li>
 Proficiency in Python and relevant libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.
 </li>
 <li>
 Strong background in machine learning algorithms, data structures, and statistical methods.
 </li>
 <li>
 Familiarity with Azure/Google distributed computing.
 </li>
 <li>
 Strong knowledge of data preprocessing, data cleaning, and data augmentation techniques.
 </li>
 <li>
 Experience with model evaluation, validation techniques, and hyperparameter tuning.
 </li>
 <li>
 Strong problem-solving skills and a passion for continuous learning.
 </li>
 </ul>
 
 
 
 
 Incentives and Benefits:
 
 <ul>
 <li>
 Competitive Pay: Recognizing your expertise.
 </li>
 <li>
 Career Growth: Work with industry leaders, continuous learning.
 </li>
 <li>
 Tech Advancement: Exposure to cutting-edge AI in the International Market.
 </li>
 <li>
 Hybrid Work: Flexible work environment.
 </li>
 <li>
 Impactful Projects: Contribute to real-world solutions.
 </li>
 </ul>
 
 
 
</div>

Senior Machine Learning Engineer

Analytica-data

Position: Machine Learning Engineer Experience: 2&ndash;5 Years Location: On-SiteRole OverviewBuild, train, optimize and deploy machine learning models while managing data pipelines and improving model accuracy for business applications.Core Responsibilities<ul><li>Train ML/DL models using TensorFlow/PyTorch.</li><li>Preprocess datasets and perform model tuning.</li><li>Deploy models using Docker/FastAPI on cloud platforms.</li><li>Monitor production accuracy and retrain based on new inputs.</li><li>Research new AI approaches and improve pipeline efficiency.</li></ul>Technical Skills &amp; ToolsSoftware &amp; Tools: Jira, Trello, ClickUp, Asana, Monday.com Documentation: Confluence, Notion, Google Workspace, MS Office Diagramming: Draw.io, Lucidchart, Figma (flows/UI mapping) CRM (Pre-Sales): HubSpot, Zoho, Salesforce (basic use)Technical Understanding:<ul><li>REST/GraphQL APIs for integration</li><li>SQL basics for data extraction &amp; reports</li><li>Cloud (AWS/Azure/GCP) deployment familiarity</li><li>AI/ML concepts &mdash; LLMs, predictive models, training workflows</li><li>SDLC &amp; MLOps awareness</li><li>Basic understanding of web stack (HTML/CSS/JS)</li></ul>Job Type: Full-timeWork Location: In person

Machine Learning Engineer

GTechSources

We are seeking an experienced AI / Machine Learning Engineer to join our dynamic team. This role requires a highly skilled professional capable of handling the entire lifecycle of machine learning projects, from ideation to deployment. The ideal candidate will bring deep expertise in generative AI, computer vision and classical machine learning/ deep learning models, and possess a strong ability to design and implement complex AI solutions.Key Responsibilities:<ul><li>Develop end-to-end machine learning solutions, including problem framing, data acquisition, solution architecture, model development, testing, and deployment</li><li>Train/Fine-tune generative AI models using state-of-the-art training techniques such as LoRA/QLoRA</li><li>Leverage GenAI for cutting edge solutions including RAG (enterprise), agentic workflows, image/video gen, wrapper apps etc. using APIs, orchestration frameworks, observability and evaluation libraries</li><li>Develop and optimize advanced deep learning models for both NLP and Computer Vision, leveraging transformer-based architectures for tasks like text classification, named entity &emsp;&emsp;recognition, image segmentation, and object detection.</li><li>Develop and implement advanced data scraping and web crawling pipelines to collect and preprocess large-scale datasets</li><li>Implement appropriate ML/DL models and algorithms to address business-specific challenges</li><li>Collaborate with cross-functional teams, including clients, product managers, and domain experts, to define project goals and requirements</li><li>Stay updated with the latest trends and breakthroughs in AI/ML and integrate relevant advancements into the development process</li><li>Manage deployment pipelines, ensuring seamless integration of ML models with production systems</li><li>Drive performance optimization for models and systems, including hyper parameter tuning and retraining strategies.</li></ul>Requirements:Education: <ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, Machine Learning, or related fields</li></ul>Experience:<ul><li>Minimum 3 years of professional experience in machine learning/AI</li><li>Proven expertise in handling end-to-end ML project lifecycles, from data processing to production deployment</li></ul>Technical Skills:<ul><li>Proficient in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, OpenCV etc. and API development using Flask, FastAPI etc</li><li>Expertise in LangChain, Pinecone, Chromadb, OpenAI Functions, FAISS, and other tools for building RAG-based systems and mainstream agentic workflows for dynamic automation and contextual retrieval</li><li>Strong experience with modern deep learning architectures, including CNNs, RNNs, Transformers (BERT, ViTs, GPT), GANs, Diffusion Models, and GNNs for diverse AI applications.</li><li>Hands-on experience with large-scale model training and fine-tuning on cloud platforms (AWS, GCP, Azure)</li><li>Solid knowledge of data preprocessing, augmentation, and feature engineering techniques</li><li>Familiarity with MLOps tools for model versioning, monitoring, and deployment (e.g., MLflow, Docker, Kubernetes)</li></ul>Soft Skills:<ul><li>Strong problem-solving skills with an analytical mindset</li><li>Excellent communication and ability to work collaboratively in a team environment</li></ul>Why Join Us:<ul><li>Work on cutting-edge projects that push the boundaries of AI and ML</li><li>Build AI solutions that solve real-world problems and help businesses become efficient and grow</li><li>Collaborate with a team passionate about innovation and growth</li><li>Access to the latest tools, technologies, and resources for professional development</li><li>Be part of a global team and a supportive work environment that values diversity, creativity, and technical excellence</li></ul>What We Offer:<ul><li>Market-competitive salary</li><li>Weekends off (Saturday and Sunday)</li><li>22 paid holidays</li><li>Medical reimbursement</li><li>Probationary and annual increments</li><li>Opportunities for professional growth and development</li><li>A collaborative and innovative work environment</li></ul>Working Hours:<ul><li>12:00 PM &ndash; 9:00 PM</li></ul>We are excited to work with individuals who are passionate about making a meaningful impact through AI innovation. Apply today to be part of our journey!Job Type: Full-timeAbility to commute/relocate:<ul><li>Lahore: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Application Question(s):<ul><li>What is your current salary?</li><li>What is your salary expectation?</li><li>Please note that this is an onsite position, and our standard operating hours are from 12 PM to 9 PM, Monday to Friday. Are you available and willing to work during these hours?</li></ul>Experience:<ul><li>AI/ML engineering: 3 years (Required)</li><li>FastAPI: 3 years (Required)</li><li>Python: 3 years (Required)</li></ul>Location:<ul><li>Lahore (Preferred)</li></ul>Work Location: In person

AI/ML Engineer with FastAPI Experience (3+ Years Required)

Tkxel

<div>
 
 We are looking for a
 
 Generative AI Engineer
 
 with 3+ years of hands-on experience in building AI-driven applications. The ideal candidate will have strong expertise in
 
 machine learning, deep learning, and large language models (LLMs)
 
 , with a passion for applying GenAI to solve real-world problems. You will collaborate with product, data science, and engineering teams to design, fine-tune, and deploy generative AI models at scale.
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 
 Design, fine-tune, and deploy
 
 LLMs and other generative AI models
 
 for production use cases.
 
 
 </li>
 <li>
 
 Work with
 
 transformer architectures
 
 (GPT, BERT, LLaMA, etc.) for text, image, or multimodal tasks.
 
 
 </li>
 <li>
 
 Build
 
 end-to-end pipelines
 
 for training, inference, and evaluation of AI models.
 
 
 </li>
 <li>
 
 Implement
 
 prompt engineering, RAG (Retrieval-Augmented Generation), and model optimization
 
 for improved performance.
 
 
 </li>
 <li>
 
 Integrate GenAI capabilities into
 
 web, mobile, or enterprise applications
 
 .
 
 
 </li>
 <li>
 
 Leverage frameworks such as
 
 LangChain, Hugging Face, TensorFlow, PyTorch
 
 .
 
 
 </li>
 <li>
 
 Collaborate with backend/frontend teams to develop
 
 APIs and services
 
 that serve AI models.
 
 
 </li>
 <li>
 
 Ensure AI solutions meet
 
 scalability, latency, and security
 
 requirements.
 
 
 </li>
 <li>
 
 Research and stay updated on the latest advancements in
 
 Generative AI, LLMOps, and ML infrastructure
 
 .
 
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI/ML, Data Science, or related field.
 
 
 </li>
 <li>
 
 
 3+ years of experience
 
 in machine learning, NLP, or AI development.
 
 
 </li>
 <li>
 
 Proficiency in
 
 Python
 
 and libraries like
 
 PyTorch, TensorFlow, Hugging Face Transformers
 
 .
 
 
 </li>
 <li>
 
 Solid understanding of
 
 LLMs, embeddings, vector databases (Pinecone, Qdrant, Weaviate, FAISS)
 
 .
 
 
 </li>
 <li>
 
 Experience with
 
 RAG pipelines, fine-tuning, or prompt engineering
 
 .
 
 
 </li>
 <li>
 
 Familiarity with
 
 cloud platforms
 
 (AWS, GCP, Azure) for ML deployment.
 
 
 </li>
 <li>
 
 Strong knowledge of
 
 APIs, microservices, and containerization (Docker, Kubernetes)
 
 .
 
 
 
 </li>
 </ul>
 
 Preferred Skills (Nice to Have)
 
 
 
 
 <ul>
 <li>
 
 Experience with
 
 LangChain / LlamaIndex
 
 for AI application orchestration.
 
 
 </li>
 <li>
 
 Knowledge of
 
 MLOps / LLMOps pipelines
 
 .
 
 
 </li>
 <li>
 
 Exposure to
 
 multimodal AI
 
 (text, image, speech).
 
 
 </li>
 <li>
 
 Hands-on experience with
 
 vector search optimizations
 
 .
 
 
 </li>
 <li>
 
 Contributions to
 
 open-source AI projects
 
 .
 
 
 </li>
 </ul>
</div>

GenAI Engineer

Skylinx Technologies

We are hiring an in-house AI Engineer to join our Lahore-based engineering team. This role focuses on building and deploying AI-driven features for our custom platform, including data intelligence, competitive alerts, and user-facing AI interfaces. You will work closely with backend and product teams and have direct ownership of AI integrations and deployments.Key Responsibilities<ul><li>Work with existing machine learning models and large language models (LLMs).</li><li>Deploy and manage AI/ML models on private cloud or self-hosted infrastructure.</li><li>Integrate third-party AI tools and APIs (e.g., Groq, OpenAI, Hugging Face, vector databases).</li><li>Build data pipelines by connecting AI models with relational and NoSQL databases.</li><li>Design and implement competitive alerts, insights, and notifications from structured and unstructured data.</li><li>Develop APIs and basic interfaces to expose AI capabilities within the platform.</li><li>Optimize inference performance, cost, and scalability.</li><li>Ensure data security and privacy in AI workflows.</li><li>Collaborate closely with in-house backend, frontend, and product teams.</li></ul>Required Skills &amp; Qualifications<ul><li>2+ years of professional experience in AI/ML engineering or applied AI development.</li><li>Strong proficiency in Python.</li><li>Hands-on experience with machine learning models, LLMs, or inference pipelines.</li><li>Experience deploying models on private cloud, VPS, or on-prem infrastructure.</li><li>Familiarity with third-party AI platforms and tools (e.g., Groq, OpenAI, Anthropic).</li><li>Experience working with databases (MySQL, PostgreSQL, MongoDB, etc.).</li><li>Ability to build and consume REST APIs.</li><li>Basic experience with interfaces or dashboards for AI-powered features.</li><li>Strong problem-solving skills and ability to work in an on-site team environment.</li></ul>Nice to Have<ul><li>Experience with RAG (Retrieval-Augmented Generation) systems.</li><li>Knowledge of alerting systems, recommendation engines, or analytics dashboards.</li><li>Familiarity with Docker, Kubernetes, or MLOps workflows.</li><li>Experience in SaaS or data-driven platforms.</li><li>Frontend exposure (React, Vue, or similar).</li></ul>What We Offer<ul><li>On-site role in Lahore with a collaborative engineering team.</li><li>Opportunity to build production-grade AI systems.</li><li>Competitive salary</li><li>Long-term growth and learning opportunities.</li><li>Direct impact on core product features.</li></ul>How to ApplyPlease share:<ul><li>Your updated resume</li><li>GitHub or project links (if available)</li><li>Short summary of AI or ML projects you&rsquo;ve worked on</li></ul>Job Types: Full-time, Contract Contract length: 12 monthsWork Location: In person

AI Engineer (In-House)

Explore 1003+ Ai engineer machine learning prd specialist in House Jobs In Charge Design Mechanical Jobs In Lahore this January. Find roles across top companies and apply now to boost your career.