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

ai engineer (machine learning & prd specialist)

ai ml engineer

Expert System Solution

About the RoleWe are seeking a Senior AI/ML Engineer with strong technical expertise and exceptional communication skills. The ideal candidate must be a closer, someone who can take ownership, deliver results, and confidently drive AI/ML solutions from concept to deployment.Key Responsibilities<ul><li>Design, develop, and deploy end-to-end AI/ML models and data pipelines.</li><li>Build predictive models, NLP solutions, and deep learning architectures.</li><li>Collaborate with cross-functional teams to understand business needs and deliver practical AI solutions.</li><li>Optimize model performance, scalability, and accuracy.</li><li>Conduct research on latest AI trends and implement relevant advancements.</li><li>Present findings, models, and results clearly to technical and non-technical stakeholders.</li><li>Lead critical problem-solving discussions and ensure timely closure of tasks.</li></ul>Requirements<ul><li>4+ years of hands-on experience in Machine Learning, AI model development, and data engineering.</li><li>Strong expertise in Python, TensorFlow/PyTorch, Scikit-Learn, NLP, Deep Learning, and Cloud (AWS/GCP/Azure).</li><li>Solid understanding of data structures, algorithms, statistical modeling, and MLOps frameworks.</li><li>Proven experience in building production-grade AI solutions.</li><li>Exceptional communication skills (must be able to explain complex ideas with clarity).</li><li>A results-driven mindset, must be a closer who takes ownership and delivers.</li></ul>Nice to Have<ul><li>Experience with LLMs, Generative AI, and model fine-tuning.</li><li>Experience in API integrations and microservices.</li><li>Exposure to data visualization tools and dashboards.</li></ul>Job Type: Full-timeWork Location: In person

AI/ML Engineer

Business Solutions & Services (BSS) - USA

<div>
 
 Role Overview:
 
 
 
 We are looking for a mid-level AI / Machine Learning Developer to design, develop, and deploy AI/ML solutions across multiple client and in-house projects. The role involves working with structured and unstructured data, building predictive and intelligent models, and collaborating closely with product, data, and engineering teams to translate business problems into scalable AI solutions.
 
 
 
 Key Responsibilities:
 
 
 
 
 AI / ML Development:
 
 
 
 <ul>
 <li>
 Design, develop, train, and evaluate machine learning models for real-world business use cases
 </li>
 <li>
 Implement supervised and unsupervised learning techniques (classification, regression, clustering, anomaly detection, recommendation and more)
 </li>
 <li>
 Demonstrate strong understanding of statistical and machine learning models, and their practical application using Python libraries such as scikit-learn, stats models, NumPy, and pandas for real-world data analysis and predictive modeling
 
 
 
 </li>
 </ul>
 
 Data Handling &amp; Preparation:
 
 
 
 <ul>
 <li>
 Work with structured and semi-structured data from databases, APIs, and files
 </li>
 <li>
 Perform data cleaning, preprocessing, feature extraction, and transformation
 </li>
 <li>
 Collaborate with data engineers on data pipelines when required
 
 
 
 </li>
 </ul>
 
 Model Deployment &amp; Integration:
 
 
 
 <ul>
 <li>
 Deploy ML models into production environments (APIs, services, batch jobs)
 </li>
 <li>
 Integrate ML models with web applications, backend systems, or enterprise platforms
 </li>
 <li>
 Support model monitoring, retraining, and performance tuning
 
 
 
 </li>
 </ul>
 
 Agentic AI systems (Nice to Have)
 
 :
 
 
 <ul>
 <li>
 Familiarity with agentic AI frameworks such as LangChain Agents, AutoGen, and CrewAI for orchestrating tool usage, decision-making, and multi-step workflow automation
 </li>
 <li>
 Understanding of prompt management, execution controls, logging, and human-in-the-loop validation, including concepts related to agent safety, control, and observability
 
 
 
 </li>
 </ul>
 
 Collaboration &amp; Delivery:
 
 
 
 <ul>
 <li>
 Work closely with product managers, business analysts, and domain experts
 </li>
 <li>
 Participate in solution design discussions and technical reviews
 </li>
 <li>
 Document models, assumptions, and technical decisions clearly
 
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications:
 
 
 
 <ul>
 <li>
 Strong programming skills in Python
 </li>
 <li>
 Hands-on experience with ML libraries (Scikit-learn, TensorFlow, PyTorch)
 </li>
 <li>
 Experience with Pandas and NumPy
 </li>
 <li>
 Understanding of core ML concepts and evaluation metrics
 </li>
 <li>
 Experience exposing ML models via REST APIs (FastAPI / Flask)
 </li>
 <li>
 Nice to Have:
 </li>
 <li>
 Exposure to NLP, computer vision, or time-series modeling
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, GCP)
 </li>
 <li>
 Basic understanding of MLOps practices
 </li>
 <li>
 Experience working in enterprise or consulting environments
 </li>
 <li>
 Experience: 3-5 years Hands-On Industry Experience
 </li>
 <li>
 Education: BS Computer Science or Equivalent
 
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Good communication and documentation abilities
 </li>
 <li>
 Ability to work across multiple projects
 
 </li>
 </ul>
</div>

AI / ML Engineer

Sharp Brains Ltd

Role Overview: AI/ML Engineer (Animation Technology)As an AI/ML Engineer within our Animation Department your mission is to bridge the gap between complex machine learning research and the creative production pipeline.Key Responsibilities<ul><li>Generative AI Development: Design and deploy GANs, Diffusion models, and Transformers specifically tailored for character animation, background synthesis, and texture generation.</li><li>Motion Synthesis &amp; Rigging: Develop ML-driven solutions for automated rigging, muscle simulation, and motion retargeting to create more fluid, lifelike character movements.</li><li>Pipeline Integration: Collaborate with Technical Directors (TDs) to integrate AI tools directly into industry-standard software like Maya, Houdini, or Unreal Engine.</li><li>Neural Rendering: Explore and implement Neural Radiance Fields (NeRFs) and other AI-driven rendering techniques to optimize lighting and look-development workflows.</li><li>Dataset Curation: Build and manage high-quality datasets derived from our internal library of motion capture and hand-keyed animation to train proprietary models.</li></ul>Core Requirements<ul><li>Technical Proficiency: Strong mastery of Python, PyTorch, or TensorFlow. Experience with C++ is a significant plus for high-performance tool integration.</li><li>Domain Knowledge: Solid understanding of 3D mathematics (linear algebra, quaternions) and the standard animation pipeline (Modeling $\rightarrow$ Rigging $\rightarrow$ Animation $\rightarrow$ Rendering).</li><li>ML Expertise: Proven experience in Computer Vision (CV), Deep Learning, and specifically Generative Modeling.</li></ul>Preferred Qualifications<ul><li>Experience with OpenUSD (Universal Scene Description).</li><li>Prior work with Real-time engines (Unreal Engine 5 / Unity).</li><li>A portfolio or GitHub showing projects related to style transfer, automated lip-syncing, or pose estimation.</li></ul>Job Type: Full-timePay: Rs75,000.00 - Rs85,000.00 per monthWork Location: In person

AI/ML Engineer (Animation Technology)

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)

Paklogics

Senior Python AI/ML Engineer Paklogics Lahore, Pakistan (Model Town K Block) On-site 5:00 PM &ndash; 2:00 AM PKTWe are seeking a Senior Python AI/ML Engineer with excellent English communication skills to join our team. In this role, you will design, architect, develop, and deploy cutting-edge AI systems that deliver measurable business impact. You will work on goal-oriented agents that extend beyond content generation to become autonomous digital business operators capable of complex reasoning, multi-step workflow execution, and decision-making.System Architecture &amp; Development<ul><li>Design and implement production-ready multi-agent systems using advanced orchestration frameworks.</li><li>Build autonomous agents that sense business context, plan workflows, execute tasks, and optimize outcomes to drive business efficiency.</li><li>Develop agent-to-agent communication protocols and coordination strategies.</li><li>Create scalable Develop maintainable architectures for complex business automation solutions.</li><li>Must Have</li><li>Programming: Expert-level Python for AI/ML applications</li><li>AI Frameworks: Deep expertise with LangChain, LangGraph, or similar agent orchestration platforms</li><li>Data Science: Analyze complex datasets using statistical modeling, ML, and visualization techniques</li><li>Computer Vision: Experience in designing, implementing, and optimizing models for object detection, image classification, and video analysis</li><li>LLM Integration: Advanced experience with OpenAI GPT, Anthropic Claude, or equivalent large language models</li><li>Prompt Engineering: Skilled in prompt design and optimization for complex agent behaviors</li><li>Vector Systems: Hands-on experience with Pinecone, Weaviate, Chroma, or similar vector databases</li><li>DevOps &amp; Cloud: Strong knowledge of CI/CD pipelines, security best practices, and deployment on AWS (microservices), GCP, and Azure</li></ul><ul><li>5+ years of hands-on experience in Python, AI/ML engineering, and system development</li><li>2+ years of experience in Data Science and Computer Vision with advanced frameworks</li><li>Strong experience building CI/CD pipelines with Docker and cloud platforms (AWS, Azure, GCP)</li><li>Proven track record of deploying production AI systems at scale</li><li>Demonstrated technical leadership on complex software projects</li></ul>Job Type: Full-timeWork Location: In person

Python AI/ML

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

Trivium Technologies

We are looking for a Senior Full Stack Engineer with a heavy emphasis on AI/ML to join a high-growth US-based team. This is a role for an engineer who builds with scale in mind and stays on the bleeding edge of Generative AI.The Tech Stack:<ul><li>Backend: Node.js, Python (FastAPI/Django), Go.</li><li>Frontend: React, Next.js, TypeScript.</li><li>AI/ML: OpenAI API, LangChain, Pinecone, PyTorch, or TensorFlow.</li><li>Infrastructure: AWS/GCP, Docker, Kubernetes, CI/CD.</li></ul>The Profile:<ul><li>Experience: 5-8+ years in professional software development.</li><li>AI Expertise: Proven experience deploying AI models or building LLM-powered applications into production.</li><li>Remote Mastery: You thrive in an autonomous, remote environment and are comfortable with US-time zone synchronization.</li><li>Architectural Mindset: You don't just write code; you design systems that are secure, performant, and scalable.</li></ul>Note : Must have experience in closing US remote jobs leads. if don't have this experience please don't apply for the roleJob Type: Full-timePay: Rs200,000.00 - Rs500,000.00 per monthWork Location: In person

Senior Full Stack AI Engineer

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