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Arbisoft

<div>
 
 
 Role Overview:
 
 
 
 We are looking for a seasoned Engineering Manager to lead two fast-moving products. This role combines technical leadership with people management. You will guide, mentor, and measure the output and performance of engineers across Machine Learning, Full-Stack Development, and QA. While the role is not primarily hands-on, you must possess deep technical competence across modern SaaS stacks, AI/ML, and infrastructure to set direction, maintain best practices, and ensure architectural excellence.
 
 
 
 
 
 You will also act as the primary owner of architecture, infrastructure, release pipelines, and risk/health tracking, ensuring our products achieve industry-best standards for scalability, reliability, and innovation.
 
 
 
 
 
 This role requires strong technical leadership, deep expertise in modern deployment pipelines, and Python and AI/ML, contributing directly to the company's product and technology strategy.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Lead, coach, and mentor engineers (ML, full-stack, and QA) across two squads, driving delivery and technical excellence.
 </li>
 <li>
 Champion best practices in engineering, including code quality, testing, observability, and security.
 </li>
 <li>
 Own the overall software architecture for both platforms, ensuring scalability, security, and high availability.
 </li>
 <li>
 Oversee application and infrastructure design, cloud environments, and release/production pipelines.
 </li>
 <li>
 Ensure adherence to best practices in SaaS product engineering, CI/CD, observability, and DevOps/MLOps.
 </li>
 <li>
 Build a culture of ownership, accountability, and continuous improvement.
 </li>
 <li>
 Guide teams working with LLMs, transcription pipelines, embeddings, and ML-driven workflows.
 </li>
 <li>
 Ensure models, services, and APIs are production-ready, performant, and compliant.
 </li>
 <li>
 Cross-functional alignment with Product and Design.
 </li>
 <li>
 Manage technical debt, prioritize effectively, and de-risk engineering roadmaps.
 </li>
 <li>
 Track platform reliability, uptime, latency, and cost efficiency.
 </li>
 <li>
 Define and monitor engineering metrics (e.g., DORA, QA pass rates, SLA adherence).
 </li>
 <li>
 Identify and mitigate risks across infrastructure, data, and compliance.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 10 years of professional experience in software engineering, with increasing leadership responsibilities.
 </li>
 <li>
 Prior hands-on background in backend or full-stack development, plus strong understanding of ML/AI systems and LLM integration.
 </li>
 <li>
 Hands-on experience working with ML models, data pipelines, and inference systems.
 </li>
 <li>
 Proven track record of leading AI/ML-focused engineering teams and shipping production SaaS products.
 </li>
 <li>
 Strong command of system design, distributed systems, and SaaS architecture.
 </li>
 <li>
 Proficiency with cloud platforms (AWS, GCP, or Azure), CI/CD pipelines, observability tools, and DevOps practices.
 </li>
 <li>
 Understanding of AI/ML workflows (training, inference, evaluation, deployment) and experience with LLMs, NLP, and transcription models.
 </li>
 <li>
 Familiarity with modern frontend/backend frameworks (React, Node.js, Python).
 </li>
 <li>
 Excellent ability to guide, train, and measure engineering performance.
 </li>
 <li>
 Strong communication and collaboration skills with the ability to operate autonomously in cross-functional squads.
 </li>
 <li>
 Domain expertise in AI SaaS products, with the ability to challenge and set technical direction confidently.
 </li>
 <li>
 Strategic mindset: able to balance short-term delivery with long-term scalability and reliability.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field.
 </li>
 </ul>
 
 
</div>

AI/ML Engineering Manager

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

Hitech Communication

Job Description &ndash; Senior Python AI/ML EngineerAgreement The employee commits to working with company for a minimum of 2 years from the date of joining.Salary : Open to ExpectationsLocation: Model Town , Lahore, PakistanPosition Type: Full-Time, On-SiteWork Hours: 5:00 PM &ndash; 2:00 AM PKTAbout the RoleWe are seeking a Senior Python AI/ML Engineer (5+ years of experience) who brings together expertise in AI/ML, Data Science, Computer Vision, and Backend Development. The ideal candidate will not only design and deploy advanced AI/ML models but also develop scalable applications, manage data pipelines, and confidently engage with international clients.This is a senior-level position requiring a problem-solver with strong technical depth, excellent English communication, and hands-on delivery experience. Frontend development skills (React.js, Next.js, Vue.js) are not mandatory but will be considered a plus point.Key ResponsibilitiesAI &amp; Machine Learning- Design and implement production-ready AI/ML models, including supervised, unsupervised, and reinforcement learning. - Work with Large Language Models (LLMs) and Generative AI (text-to-text, text-to-image, text-to-video, diffusion models, and GANs). - Build pipelines for Retrieval-Augmented Generation (RAG) and advanced prompt engineering for real-world business applications. - Develop Computer Vision systems for:<ul><li>Object detection &amp; tracking (e.g., YOLO, Detectron2).</li><li>Image classification &amp; segmentation.</li><li>Video analysis for surveillance, automation, and behavior detection.</li><li>- Create recommendation engines, forecasting systems, and predictive analytics models.- Use frameworks such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, and OpenCV.</li></ul>Data Science-<ul><li>Perform data wrangling, feature engineering, and exploratory data analysis (EDA).</li><li>- Apply statistical modeling, hypothesis testing, and predictive analytics.</li><li>- Build pipelines for data cleaning, visualization, and transformation.</li><li>- Deliver insights that support business decision-making and automation strategies.</li></ul>Backend Development (Compulsory)-<ul><li>Develop scalable APIs and microservices using FastAPI, Flask, or Django.</li><li>- Work with relational and non-relational databases (PostgreSQL, MongoDB, Redis).</li><li>- Architect secure, high-performance backend systems optimized for AI/ML workloads.</li><li>- Ensure smooth integration of AI/ML pipelines into production applications.</li><li>Frontend Development (Optional but Plus)-</li><li>Build user-friendly dashboards and applications with React.js, Next.js, or Vue.js.</li><li>- Implement interactive visualizations for AI/ML outputs and analytics.</li><li>- Ensure smooth frontend-backend integration for end-to-end delivery.</li></ul>Client Communication &amp; Requirement Gathering-<ul><li>Join client calls, demos, and technical discussions to represent project expertise.</li><li>- Gather requirements and prepare detailed technical specifications.</li><li>- Collaborate with business teams to support closing deals by explaining technical feasibility.</li><li>- Deliver clear documentation, reports, and updates to clients and internal teams.</li></ul>DevOps &amp; Deployment-<ul><li>Set up and manage CI/CD pipelines for continuous integration and deployment.</li><li>- Deploy applications on AWS, Azure, or GCP cloud environments.</li><li>- Use Docker/Kubernetes for containerization, scaling, and orchestration.</li><li>- Monitor system performance, troubleshoot issues, and enforce security best practices.</li></ul>Must-Have Skills-<ul><li>Strong English communication skills (client calls, requirement gathering, reporting).</li><li>- Expert in Python for AI/ML, backend systems, and APIs.</li><li>- Proficiency in ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>- Hands-on with Generative AI (LLMs, diffusion models, GANs, RAG pipelines).</li><li>- Advanced Computer Vision expertise (object detection, segmentation, video analytics).</li><li>- Skilled in SQL &amp; NoSQL databases (PostgreSQL, MongoDB, Redis).</li><li>- Experience with vector databases (Pinecone, Weaviate, Chroma, Milvus).</li><li>- Proficiency in DevOps, Docker, Kubernetes, and cloud deployments.</li><li>- Frontend knowledge (React.js, Next.js, Vue.js) is a plus, not mandatory.</li></ul>Qualifications-<ul><li>5+ years of experience in Python, AI/ML engineering, and backend systems.</li><li>- 2+ years of experience in Data Science and Computer Vision projects.</li><li>- Proven record of deploying AI/ML and Generative AI systems in production at scale.</li><li>- Strong portfolio of AI-driven applications, APIs, and end-to-end solutions.</li><li>- Client-facing experience in technical discussions and requirement gathering.</li></ul>Job Type: Full-timePay: From Rs250,000.00 per monthApplication Question(s):<ul><li>Do not skip the questions otherwise your application will be rejected.</li></ul>1- Your Current Salary? 2- Expected Salary ? 3- Notice Period ? 4- Can you come to Model Town 5pm to 2am for working ? Read the JD clearly before applying !Experience:<ul><li>AI/ML Python: 5 years (Required)</li></ul>Work Location: In person

Senior Python Developer

We are seeking a highly skilled Senior AI Engineer to lead the design, development, and deployment of advanced AI/ML solutions. The ideal candidate will have strong expertise in machine learning, deep learning, and AI frameworks, along with the ability to guide junior engineers and contribute to the overall AI strategy of the organization.Key Responsibilities<ul><li>Lead the design, development, training, and deployment of AI/ML models.</li><li>Work on complex AI projects including NLP, computer vision, recommendation systems, and predictive analytics.</li><li>Collaborate with data scientists, engineers, and product teams to deliver scalable AI solutions.</li><li>Optimize model performance and ensure production-grade deployments.</li><li>Develop and maintain APIs and services for AI/ML integration into applications.</li><li>Research and implement the latest advancements in AI and deep learning.</li><li>Mentor and guide junior AI/ML engineers and developers.</li><li>Ensure compliance with ethical AI practices, data privacy, and security standards.</li></ul>Requirements<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field (PhD preferred).</li><li>5+ years of professional experience in AI/ML development.</li><li>Strong proficiency in Python and AI/ML libraries (TensorFlow, PyTorch, Keras, Scikit-learn).</li><li>Proven experience with NLP, computer vision, or reinforcement learning.</li><li>Hands-on experience with cloud platforms (AWS, GCP, Azure) and model deployment.</li><li>Solid understanding of data preprocessing, feature engineering, and large-scale data handling.</li><li>Familiarity with containerization tools (Docker, Kubernetes) and CI/CD for ML workflows.</li><li>Strong problem-solving and analytical skills.</li><li>Excellent communication and leadership abilities.</li></ul>Preferred Skills<ul><li>Experience in MLOps practices and frameworks (MLflow, Kubeflow, etc.).</li><li>Knowledge of big data frameworks (Spark, Hadoop).</li><li>Familiarity with generative AI and LLMs (e.g., OpenAI, Hugging Face).</li><li>Contributions to AI research papers, open-source projects, or patents is a plus.</li></ul>Job Type: Full-timeWork Location: In person

Sr AI/ML Engineer

xiHawks

We&rsquo;re Hiring: Python Developer (AI/ML Specialist)Location: Bahria Orchard, Raiwind Road, Lahore (Onsite) Type: Full-Time Experience: 2&ndash;4 Years&#10024; About the Role xiHawks is looking for a Python Developer with AI/ML expertise to craft intelligent, data-driven solutions. If you thrive in building scalable ML models, AI-powered apps, and real-world automation, this is the role for you!Key Responsibilities Develop &amp; maintain Python-based applications with AI/ML focus Build, train &amp; optimize ML/DL models (TensorFlow, PyTorch, Scikit-learn) Work on NLP, Computer Vision, and predictive analytics Deploy ML models using APIs, Docker, and cloud platforms (AWS/GCP/Azure) Collaborate with cross-functional teams to integrate AI features Ensure model scalability, performance &amp; real-time processingWhat We&rsquo;re Looking For Strong Python skills + ML frameworks (TensorFlow, PyTorch, Keras, Scikit-learn) Experience with data preprocessing, feature engineering &amp; model deployment Knowledge of REST APIs, Flask/Django, and cloud ML services Bonus: Hands-on with NLP, Computer Vision, or Deep Learning projects Analytical mindset + problem-solving + teamworkPerks &amp; Benefits Competitive Salary Package Fuel Allowance 34 Paid Leaves Medical Insurance Provident Fund Cutting-edge projects in AI/MLHow to Apply Send your CV to hr@xihawks.com with subject line: &ldquo;Application &ndash; Python Developer (AI/ML Specialist)&rdquo;&#10024; Be part of a team where innovation meets intelligence &ndash; Join xiHawks today!#xiHawks #HiringNow #PythonDeveloper #AI #MachineLearning #DeepLearning #DataScience #LahoreJobs #CareerGrowthJob Type: Full-timePay: Rs100,000.00 - Rs170,000.00 per monthApplication Question(s):<ul><li>This is an on-site Role. Our office is located at Bahria Orchard, Raiwind Road, Lahore. Can you commute here for this on-site work? Office hours are 8 AM to 5 PM (Mon-Fri).</li></ul>Work Location: In person

Python Developer

We are looking for a passionate Python AI Developer with 1&ndash;2 years of experience to join our technology team. The candidate will be responsible for developing, testing, and deploying AI/ML models and integrating them into scalable applications. This role is ideal for individuals who have a strong foundation in Python programming and a keen interest in Artificial Intelligence and Machine Learning.Key Responsibilities<ul><li>Develop and implement AI/ML models using Python and relevant libraries.</li><li>Preprocess, clean, and analyze structured and unstructured data.</li><li>Work with frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras.</li><li>Build and integrate APIs for deploying AI/ML solutions into applications.</li><li>Collaborate with data scientists, software engineers, and product teams to deliver AI-driven solutions.</li><li>Optimize models for performance, scalability, and accuracy.</li><li>Stay updated with the latest trends, research, and best practices in AI and machine learning.</li><li>Prepare documentation for code, models, and workflows.</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, Data Science, or related field.</li><li>1&ndash;2 years of hands-on experience with Python development.</li><li>Basic to intermediate knowledge of Machine Learning concepts and algorithms.</li><li>Experience with AI/ML libraries: TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy.</li><li>Familiarity with data preprocessing, feature engineering, and model evaluation.</li><li>Understanding of REST APIs and integration.</li><li>Strong problem-solving and analytical skills.</li></ul>*Job Type: Full-timePay: Rs43.99 - Rs52.97 per hourAbility to Commute:<ul><li>Lahore, VA (Required)</li></ul>Ability to Relocate:<ul><li>Lahore, VA: Relocate before starting work (Required)</li></ul>Work Location: In person

Python AI Developer

Tkxel

<div>
 
 We are looking for a
 
 Generative AI Engineer
 
 with 2&ndash;4 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>
 
 Required Skills &amp; Qualifications
 
 
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI/ML, Data Science, or related field.
 
 
 </li>
 <li>
 
 
 2&ndash;4 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

Explore 1187+ Ai ml engineering manager in Lahore this October. Find roles across top companies and apply now to boost your career.