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Techtimize

Senior Machine Learning Engineer (Computer Vision &ndash; Object Detection)Job SummaryWe are looking for a hands-on Senior ML Engineer (Computer Vision) with deep expertise in object detection and strong production delivery skills.You will own end-to-end detection systems &mdash; from dataset design and training pipelines to optimized inference services, monitoring, and continuous improvement in real-world environments.Key Responsibilities<ul><li>Design, train, debug, and improve state-of-the-art object detection models</li><li>Build robust training pipelines (datasets, augmentation, caching, versioning, reproducible experiments)</li><li>Conduct systematic error analysis and ablation studies</li><li>Develop advanced detection workflows (multi-stage pipelines, ensembles, custom post-processing)</li><li>Optimize inference for GPU performance (latency, throughput, memory)</li><li>Export and deploy models (ONNX, TorchScript, TensorRT)</li><li>Build production services using Docker, Linux, CI/CD, FastAPI and/or gRPC</li><li>Implement comprehensive testing (unit, integration, regression, golden test sets)</li><li>Set up monitoring systems (logging, metrics dashboards, drift tracking, retraining triggers)</li><li>Translate research papers into working prototypes and production systems</li></ul>Required Skills &amp; ExperiencePython &amp; ML Engineering<ul><li>Advanced Python engineering (clean architecture, typing, testing, profiling)</li><li>Strong hands-on experience with PyTorch (mandatory)</li><li>TensorFlow (optional)</li><li>Experiment tracking (W&amp;B, MLflow)</li><li>Config management (Hydra/OmegaConf)</li><li>Dataset versioning (DVC or similar)</li></ul>Computer Vision Fundamentals<ul><li>Strong CV foundations (geometry, distortions, preprocessing, camera models)</li><li>OpenCV expertise</li><li>Evaluation metrics: mAP, IoU, precision/recall, PR curves</li></ul>Deep Object DetectionExperience with modern detectors such as:<ul><li>YOLO (v5/v8/v9)</li><li>Faster R-CNN</li><li>RetinaNet</li><li>EfficientDet</li><li>DETR variants</li></ul>Experience with:<ul><li>Multi-stage detection pipelines</li><li>Ensemble strategies</li><li>Domain-optimized post-processing</li></ul>Production ML &amp; MLOps<ul><li>ONNX runtime + TorchScript or TensorRT</li><li>GPU optimization &amp; inference tuning</li><li>Docker, Linux, CI/CD (GitHub Actions or GitLab CI)</li><li>FastAPI and/or gRPC deployment</li><li>Monitoring, model versioning, rollback strategies</li></ul>Job Type: Fulltime - Onsite Location: LahoreJob Type: Full-timeWork Location: In person

Senior ML Engineer

Devsinc

<div>
 Devsinc is on the lookout for a talented
 
 Software AI Engineer
 
 to join our innovative team. In this role, you will be responsible for designing, developing, and deploying AI models and machine learning algorithms that enhance our software products and services. You will collaborate with cross-functional teams to integrate AI solutions into applications, driving efficiencies and improving user experiences.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design and implement AI and machine learning models to solve complex problems
 </li>
 <li>
 Collaborate with data scientists and software engineers to integrate AI capabilities into existing products
 </li>
 <li>
 Analyze large datasets to discover patterns, trends, and insights that can drive business decisions
 </li>
 <li>
 Optimize and improve existing machine learning algorithms to enhance their performance
 </li>
 <li>
 Stay up to date with the latest advancements in AI technologies and implement best practices
 </li>
 <li>
 Participate in code reviews and contribute to the development of software standards and guidelines
 </li>
 <li>
 Communicate effectively with technical and non-technical stakeholders to explain AI concepts and technologies
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
 </li>
 <li>
 2+ years of experience in software engineering with a strong focus on AI and machine learning
 </li>
 <li>
 Proficiency in programming languages and Databases such as Python, Django, SQL, Postgres, FAST and Flask
 </li>
 <li>
 Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, NLP, CV and Deep learning)
 </li>
 <li>
 Solid understanding of algorithms, data structures, and statistical analysis
 </li>
 <li>
 Experience with data processing tools and big data technologies (e.g., Hadoop, Spark)
 </li>
 <li>
 Strong analytical and problem-solving skills, with attention to detail
 </li>
 <li>
 Excellent communication skills and ability to work collaboratively in a team environment
 </li>
 <li>
 Knowledge of cloud services (AWS, Azure, GCP) for deploying AI models is a plus
 </li>
 </ul>
</div>

Software AI Engineer

Psi Square

About the RoleWe are looking for a Backend Engineer with strong expertise in Python and Django to build scalable, AI-powered web applications. This role focuses on backend architecture, API development, AI/ML model integration, and Docker-based deployments.You will work on SaaS platforms, automation systems, and intelligent applications involving chatbots, recommendation engines, and data-driven decision systems.Core Technical Requirements (Must-Have Skills)&middot; Strong proficiency in Python&middot; Hands-on experience with Django / Django REST Framework&middot; Experience designing and building RESTful APIs&middot; Working knowledge of PostgreSQL or MySQL&middot; Experience with Docker (containerization &amp; deployments)&middot; Understanding of production deployment workflows&middot; Familiarity with Git-based version controlAI / Machine Learning Exposure (Required)&middot; Experience integrating ML models into backend systems&middot; Familiarity with:o TensorFlow / PyTorch / Scikit-learno OR AI API integrations (OpenAI, Hugging Face, etc.)&middot; Understanding of model deployment concepts (inference APIs, optimization, scaling)Cloud &amp; DevOps (Preferred)&middot; Experience with AWS, GCP, or Azure&middot; Basic understanding of:o CI/CD pipelineso Server configurationo Nginx / Gunicorno Background task queues (Celery, Redis)Frontend (Bonus &ndash; Not Mandatory)&middot; Familiarity with React.js or Next.js&middot; Ability to collaborate effectively with frontend developersKey Responsibilities&middot; Develop and maintain scalable backend systems using Django&middot; Design secure, well-documented REST APIs&middot; Integrate AI/ML models into production environments&middot; Containerize applications using Docker&middot; Optimize performance, database queries, and system architecture&middot; Collaborate with frontend, AI, and DevOps teams&middot; Follow clean code principles and security best practicesJob Type: Full-timePay: Rs100,000.00 - Rs175,000.00 per monthWork Location: In person

Backend Engineer (Python/Django + AI Integration)

Solvefy

Be a Part of Shaping the Future with AI!Are you passionate about creating intelligent systems powered by Artificial Intelligence and Machine Learning? We are seeking an AI Developer who can design, build, and deploy innovative AI-driven solutions using cutting-edge models, frameworks, and tools.In this role, you&rsquo;ll work with modern AI/ML models, data pipelines, and deployment platforms to deliver scalable applications. You&rsquo;ll also leverage advanced techniques such as large language models (LLMs), NLP, and AI-powered automation to transform business processes.Key Responsibilities<ul><li>AI Model Development: Design, train, and fine-tune machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost, LightGBM, or Hugging Face Transformers.</li><li>Data Preparation: Build and maintain efficient data pipelines for training and evaluation using AI/ML data tools (e.g., Scikit-learn preprocessing, Spark MLlib).</li><li>AI Solutions &amp; LLMs: Apply LLMs, NLP techniques, and prompt engineering to enhance automation, intelligent assistants, and decision-making systems.</li><li>Deployment &amp; MLOps: Deploy, monitor, and manage AI/ML models on cloud platforms (AWS SageMaker, Azure ML, GCP Vertex AI) following MLOps best practices.</li><li>System Architecture: Implement scalable AI solutions using containerization (Docker, Kubernetes) and micro services-based designs.</li><li>Collaboration: Work closely with data engineers, product managers, and developers to translate business needs into AI-driven solutions.</li><li>Performance Optimization: Evaluate and improve model accuracy, scalability, and efficiency in production environments.</li><li>Research &amp; Innovation: Stay updated with the latest in AI frameworks, LLM advancements, and emerging ML technologies to drive innovation.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related field.</li><li>2+ years of experience in AI engineering, machine learning, or applied data science roles.</li><li>Proficiency with AI/ML frameworks and libraries, including TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost, LightGBM, and Hugging Face Transformers.</li><li>Hands-on experience with AI model development, including exposure to large language models (LLMs), NLP, and other advanced ML applications.</li><li>Familiarity with data processing and big data technologies (e.g., Spark MLlib, Hadoop, MLflow, Kubeflow).</li><li>Experience working with cloud-based AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI) for model deployment and scaling.</li><li>Knowledge of MLOps practices and lifecycle management for production-grade AI systems.</li><li>Strong foundation in machine learning algorithms, optimization techniques, and statistical modeling.</li><li>Experience implementing scalable AI solutions using Docker, Kubernetes, and micro services-based architectures.</li><li>Strong problem-solving ability, a collaborative mindset, and excellent communication skills for both technical and non-technical stakeholders</li></ul>What We Offer:<ul><li>Competitive Salary: Market-competitive salary with performance-based incentives.</li><li>Comprehensive Benefits: Provident Fund, Medical Allowance, and Umrah Allowance.</li><li>Wellness Perks: Gym and refreshment allowances.</li><li>Team Building: Annual trips, bi-annual dinners, and team events.</li><li>Additional Perks: Annual bonus, leave encashment, and a flexible leave policy (Casual, Sick &amp; Annual Leaves).</li></ul>Experience Level: 2+ yearsLocation: Johar Town, LahoreEmployment Type: Full-Time (On-Site)Office Timings: 12 PM &ndash; 9 PMJob Type: Full-timeWork Location: In person

AI Engineer

Xeven Solutions Pvt. Ltd

Role OverviewWe are looking for a proactive AI Backend Engineer with 1&ndash;2 years of experience to join our team. The ideal candidate is someone who lives at the intersection of FastAPI and LangChain, with a passion for building autonomous agents and sophisticated automation workflows.Key ResponsibilitiesAI Integration: Design and deploy production-ready LLM applications using LangChain and LangGraph.Backend Development: Request lifecycle, async concepts, middleware, authentication, caching basics, background tasks/queues (nice to have), performance considerations.Agentic Workflows: Develop and orchestrate AI Agents capable of multi-step reasoning and tool use.Automation: Create complex, self-healing automation pipelines using tools like n8n.Intelligent Scraping: Implement AI-powered web scraping tools (e.g., Firecrawl, Crawl4AI, or custom LLM-based parsers) to gather and structure unstructured data.Data Management: Design and manage relational schemas in PostgreSQL or MySQL, ensuring data integrity for AI-driven features.Prompt Engineering: Prompt structuring, few-shot techniques, evaluation, prompt iteration, and guardrails.API design, authentication, logging, error handling, rate limiting, and monitoring.Technical RequirementsExperience: 1&ndash;2 years in a professional software development environment.Backend Mastery: Strong grasp of core backend concepts (RESTful APIs, Asyncio, Auth, Middleware) and database management.AI Stack: Hands-on experience with LLM orchestration (RAG pipelines, vector databases) and Agentic frameworks.Prompt Engineering: Proven ability to write &quot;system-level&quot; prompts that handle edge cases and maintain personas.Web Scraping: Proficiency in bypassing modern bot detection and using AI to extract structured data from chaotic web pages.Soft Skills &amp; LeadershipEffective Communicator: Able to explain why a certain model or prompt strategy was chosen to non-technical stakeholders.Self-Reliant &amp; Reliable: You take ownership of a feature from &quot;idea&quot; to &quot;deployment&quot; without constant hand-holding.Leadership Mindset: Even with 1&ndash;2 years of experience, you should be ready to mentor interns or lead specific AI initiatives within the team.Documentation: Ability to clearly document API endpoints and AI logic flow.Nice-to-Have SkillsExperience with Docker, CI/CD, or deploying services to cloud platforms (AWS/GCP/Azure).Observability experience: logging/metrics/tracing (e.g., OpenTelemetry, Prometheus, Grafana).Background job processing (Celery/RQ) or message queues (RabbitMQ/Kafka).Experience with vector databases (e.g., pgvector, Pinecone, Weaviate, etc.).Familiarity with frontend integration patterns for chat UIsJob Type: Full-timeWork Location: In person

Python Developer

Vaults Vision

Internship Positions:Digital Marketing Intern<ul><li>Assist in social media management, SEO, and content marketing</li><li>Create and manage paid advertising campaigns (Google Ads, Facebook, Instagram)</li><li>Analyze website traffic and campaign performance using Google Analytics</li><li>Research and implement the latest digital marketing trends</li></ul>Business Development Intern<ul><li>Conduct market research to identify new business opportunities</li><li>Assist in developing sales strategies and partnership opportunities</li><li>Generate leads and follow up with potential clients</li><li>Build strong customer relationships and brand awareness</li></ul>Sales Lead Closer (Full-time/Internship)<ul><li>Manage inbound and outbound sales calls</li><li>Develop sales pitches and proposals for potential clients</li><li>Close deals and help meet monthly sales targets</li><li>Track and maintain client data in CRM</li></ul>Web &amp; App Developer Intern<ul><li>Assist in front-end and back-end development for websites and mobile apps</li><li>Work with HTML, CSS, JavaScript, React, Node.js, and other frameworks</li><li>Help develop responsive, user-friendly, and high-performance web applications</li><li>Support UI/UX improvements and debugging</li></ul>AI Engineer Intern<ul><li>Work on AI-powered applications and machine learning models</li><li>Assist in data collection, preprocessing, and model training</li><li>Develop AI-based automation and analytical tools</li><li>Gain hands-on experience with Python, TensorFlow, PyTorch, and other AI frameworks</li></ul>Requirements:✔ Passion for learning and innovation ✔ Strong analytical and problem-solving skills ✔ Excellent communication and teamwork abilities ✔ Relevant coursework or experience in the chosen field ✔ Ability to work independently and meet deadlinesFor Whatsapp +1 6478005152www.vaultsvision.comJob Types: Full-time, Part-time, Temporary, Contract, Internship, Fresher Contract length: 6 monthsPay: Rs10,000.00 - Rs30,000.00 per monthWork Location: In person

Bahria Town & DHA Lahore Digital Marketing, Business, Sales, Web & App Development, AI Interns –

Datamatics Technologies

<div>
 Job Description
 
 
 Job Title:
 
 Expert Data Scientist &ndash; Demand Planning &amp; Forecasting (Machine Learning)
 
 
 Project:
 
 &nbsp;Demand Planning ML Models Initiative
 
 
 Role Level:
 
 Expert / Principal (Hands-on, Delivery-Focused)
 
 
 Employment Type:
 
 Full-Time
 
 
 Experience:
 
 &nbsp; 7+ Years
 
 
 Job Location:
 
 Remote
 
 
 Job Timing:
 
 Vietnam Time Zone
 
 Role Overview
 
 We are seeking an
 
 Expert Data Scientist
 
 with deep hands-on experience in
 
 machine learning&ndash;based demand forecasting
 
 to support the
 
 ANZ Demand Planning ML Models initiative
 
 .
 
 
 This role requires a senior practitioner capable of
 
 independently designing, developing, and delivering enterprise-grade demand forecasting models
 
 . The ideal candidate will own forecasting solutions end-to-end and help improve business decision-making through highly accurate predictive models.
 
 
 Key ResponsibilitiesDemand Planning &amp; Forecasting (Core Focus)
 <ul>
 <li>
 
 Lead the
 
 design, development, and optimization of ML-based demand forecasting models
 
 .
 
 </li>
 <li>
 
 Work extensively with
 
 time-series datasets related to sales, demand, and supply planning
 
 .
 
 </li>
 <li>
 
 Apply and optimize
 
 statistical forecasting techniques and machine learning algorithms
 
 .
 
 </li>
 <li>
 
 Perform
 
 advanced feature engineering
 
 incorporating seasonality, trends, promotions, pricing, holidays, and external drivers.
 
 </li>
 <li>
 
 Conduct
 
 back-testing, validation, and scenario analysis
 
 to continuously improve forecast accuracy.
 
 
 </li>
 </ul>
 Data Science Leadership &amp; Delivery
 <ul>
 <li>
 
 Own the
 
 end-to-end data science lifecycle
 
 , from data exploration and model development to deployment support.
 
 </li>
 <li>
 
 Define, monitor, and optimize forecasting KPIs including
 
 MAPE, RMSE, and MAE
 
 .
 
 </li>
 <li>
 
 Review, validate, and refine forecasting methodologies to ensure accuracy and scalability.
 
 </li>
 <li>
 
 Clearly communicate
 
 model logic, assumptions, and insights
 
 to business and executive stakeholders.
 
 
 </li>
 </ul>
 Collaboration &amp; Execution
 <ul>
 <li>
 
 Collaborate closely with
 
 Data Engineers, Analytics teams, and business stakeholders
 
 to operationalize forecasting models.
 
 </li>
 <li>
 
 Support
 
 production deployment, monitoring, and model performance improvements
 
 .
 
 </li>
 <li>
 
 Drive
 
 knowledge sharing and best practices
 
 in forecasting and machine learning across teams.
 
 
 </li>
 </ul>
 Required Experience
 <ul>
 <li>
 
 
 7+ years
 
 of experience in
 
 Data Science / Machine Learning
 
 .
 
 </li>
 <li>
 
 
 5+ years of hands-on experience in demand forecasting or demand planning using machine learning
 
 .
 
 </li>
 <li>
 
 Proven experience delivering
 
 production-grade or business-critical forecasting models
 
 .
 
 </li>
 <li>
 
 Strong experience working with
 
 enterprise-scale time-series datasets
 
 .
 
 
 </li>
 </ul>
 Technical Skills
 <ul>
 <li>
 
 Advanced
 
 Python for Data Science and Machine Learning
 
 .
 
 </li>
 <li>
 
 Strong expertise in
 
 time-series forecasting techniques
 
 (statistical and ML-based).
 
 </li>
 <li>
 
 Experience with machine learning models such as
 
 regression, tree-based models, and ensemble methods
 
 .
 
 </li>
 <li>
 
 Advanced
 
 feature engineering for demand and planning datasets
 
 .
 
 </li>
 <li>
 
 Strong
 
 SQL and data manipulation
 
 capabilities.
 
 </li>
 <li>
 
 Experience with
 
 forecast evaluation metrics (MAPE, RMSE, MAE)
 
 .
 
 
 </li>
 </ul>
 Soft Skills
 <ul>
 <li>
 
 Strong
 
 ownership and accountability mindset
 
 .
 
 </li>
 <li>
 
 Excellent
 
 analytical and problem-solving capabilities
 
 .
 
 </li>
 <li>
 
 Ability to
 
 communicate complex technical concepts to non-technical stakeholders
 
 .
 
 </li>
 <li>
 
 Comfortable working in
 
 fast-paced environments with tight delivery timelines
 
 .
 
 </li>
 </ul>
</div>

Expert Data Scientist

Explore 287+ Machine learning engineer in Lahore this March. Find roles across top companies and apply now to boost your career.