software engineer

data scientist

data engineer

fullstack engineer

ai engineer

deep learning engineer

DIGINERS

We are seeking a skilled and motivated AI Engineer with 2+ years of hands-on experience in developing, deploying, and optimizing AI/ML models. The ideal candidate should have strong foundations in machine learning, deep learning, data engineering, and software development. You will work closely with cross-functional teams to design intelligent solutions that improve system performance, automate workflows, and create impactful user experiences.Key Responsibilities1. AI/ML Model Development&middot; Design, develop, and optimize machine learning and deep learning models for various business use cases.&middot; Train, validate, and fine-tune models using structured and unstructured datasets.&middot; Conduct exploratory data analysis (EDA) and feature engineering to improve model performance.2. Deployment &amp; MLOps&middot; Deploy machine learning models into production using cloud platforms (AWS/Azure/GCP) or on-prem environments.&middot; Create CI/CD pipelines for model training, testing, and deployment.&middot; Implement monitoring systems to track model accuracy, drift, and performance over time.3. Data Engineering &amp; Preparation&middot; Work with large datasets, ensuring proper data preprocessing, cleaning, labelling, and transformation.&middot; Develop scalable data pipelines and integrate models with databases, APIs, and backend systems.4. Research &amp; Innovation&middot; Stay updated with latest advancements in AI, NLP, computer vision, generative models, and automation technologies.&middot; Experiment with emerging tools, frameworks, and LLM technologies to improve workflows and drive product innovation.5. Collaboration &amp; Documentation&middot; Work with software engineers, product managers, and domain experts to understand requirements and translate them into technical solutions.&middot; Document model architecture, experiments, versioning, and deployment processes for internal reference.Required QualificationsExperience&middot; Minimum 2 years of professional experience working as an AI Engineer, ML Engineer, Data Scientist, or similar role.&middot; Experience building and deploying machine learning models in real-world production systems.Technical Skills&middot; Strong understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and model optimization techniques.&middot; Proficiency in Python and ML frameworks like TensorFlow, PyTorch, Scikit-learn, Keras.&middot; Experience with data processing frameworks such as Pandas, NumPy, Spark, or Dask.&middot; Hands-on experience with cloud platforms (AWS Sagemaker, Azure ML, GCP Vertex AI).&middot; Familiarity with Docker, Kubernetes, and MLOps tools.&middot; Strong grasp of REST APIs, microservices, and system integrations.Soft Skills&middot; Strong problem-solving skills and analytical thinking.&middot; Excellent communication skills to explain technical concepts clearly.&middot; Ability to work in a fast-paced, collaborative environment.&middot; Attention to detail and commitment to writing clean, scalable, maintainable code.Preferred Qualifications (Optional)&middot; Experience with NLP, LLMs, or Computer Vision.&middot; Familiarity with vector databases, LangChain, or RAG pipelines.&middot; Experience with A/B testing, experimentation, and ML observability tools.&middot; Contribution to open-source AI/ML projects.What We Offer&middot; Competitive salary package based on experience.&middot; Opportunities for technical growth, certifications, and professional development.&middot; Collaborative work environment with cutting-edge AI technologies.&middot; Flexible working hours and supportive team culture.Job Types: Full-time, Part-time, Contract Contract length: 6 monthsExpected hours: No less than 8 per weekWork Location: In person

AI Engineer

Astrik

We&rsquo;re Hiring: AI Engineer (Onsite)Are you passionate about Artificial Intelligence and eager to work on cutting-edge projects that push the boundaries of what&rsquo;s possible?We&rsquo;re looking for talented AI Engineers with 1&ndash;5 years of experience to join our innovative team!What You&rsquo;ll Do:Design, develop, and deploy AI and ML models for real-world applications.Work across areas such as Natural Language Processing (NLP), Computer Vision, Predictive Analytics, and Generative AI (LLMs, diffusion models, etc.).Integrate AI models into scalable backend systems and APIs.Research and experiment with the latest tools and frameworks to improve performance and accuracy.Technical Skills We&rsquo;re Looking For:Programming: Python (NumPy, Pandas, Scikit-learn), JavaScript/TypeScript (optional)Deep Learning Frameworks: TensorFlow, PyTorch, KerasNLP &amp; LLMs: Hugging Face Transformers, LangChain, OpenAI API, vector databases (Pinecone, FAISS, Chroma)Computer Vision: OpenCV, YOLO, Detectron2, CLIP, Stable DiffusionMLOps: MLflow, Docker, Kubernetes, FastAPI, RESTful API integrationData Engineering: SQL, ETL pipelines, data preprocessing, feature engineeringCloud &amp; Deployment: AWS, Azure, or Google Cloud (SageMaker, Vertex AI, etc.)Bonus Skills: Prompt engineering, RAG (Retrieval-Augmented Generation), and model fine-tuningExperience Required: 1 to 5 yearsLocation: Onsite (details will be shared during the interview)Salary: Competitive &mdash; based on skill set and experienceIf you love building intelligent systems, experimenting with AI models, and collaborating with passionate innovators &mdash; we&rsquo;d love to meet you!Job Type: Full-timeWork Location: In person

AI Engineer (Onsite)

ITX-Solution

About the RoleZMA Solutions is looking for a passionate and skilled AI Developer to join our innovative engineering team. The ideal candidate will have hands-on experience in machine learning, deep learning, and building intelligent systems that solve real-world problems.You&rsquo;ll collaborate with our data scientists, backend developers, and product team to design, train, and deploy AI-powered applications and features that enhance business performance and user experience.Responsibilities<ul><li>Design and implement AI and machine learning models for production use.</li><li>Analyze large datasets to identify patterns, insights, and model improvements.</li><li>Develop, train, and fine-tune models using frameworks like TensorFlow, PyTorch, or scikit-learn.</li><li>Integrate AI models into backend systems or APIs for real-time applications.</li><li>Research and prototype new algorithms and tools for computer vision, NLP, or predictive analytics.</li><li>Collaborate with cross-functional teams to define data and AI-driven solutions.</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Computer Science, AI/ML, or related field (Master&rsquo;s preferred).</li><li>2+ years of experience in machine learning or AI development.</li><li>Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Keras.</li><li>Solid understanding of data preprocessing, model evaluation, and deployment.</li><li>Experience with NLP, computer vision, or LLMs (Large Language Models) is a plus.</li><li>Strong problem-solving and analytical thinking skills.</li></ul>Bonus Skills<ul><li>Experience with LangChain, OpenAI API, or Hugging Face Transformers.</li><li>Knowledge of MLOps tools like Docker, MLflow, or AWS SageMaker.</li><li>Understanding of data engineering pipelines and API integrations.</li></ul>Perks &amp; Benefits<ul><li>Competitive salary (60K&ndash;90K based on experience).</li><li>Opportunity to work with cutting-edge AI technologies.</li><li>Collaborative and innovation-driven work environment.</li><li>Career growth and learning opportunities with real-world AI projects.</li></ul>Job Type: Full-timePay: Rs60,000.00 - Rs90,000.00 per monthWork Location: In person

AI Developer

VIDIZMO LLC

<div>We're seeking passionate, driven, and self-motivated individuals to join our team. If you're eager to grow in a dynamic environment and be part of a company that&rsquo;s at the forefront of AI innovation, this is your chance to hit the ground running. 
VIDIZMO is a USA-based technology company headquartered in Tysons, Virginia, and a Microsoft Solutions Partner in Data &amp; AI, Infrastructure, and Digital &amp; App Innovation. Offering a AI-Powered Intelligence Hub, we empower Fortune 500 companies, large enterprises, governments, and the public sector to securely manage, analyze, and govern their data with complete control and compliance. 
Our Multimodal AI Data Intelligence Platform leverages Large Language Models (LLMs) and RAG (Retrieval-Augmented Generation) to deliver powerful capabilities such as auto-tagging, redaction, content summarization, OCR, translation, subtitle creation, object detection and tracking, content search, sentiment and emotion analysis, topic extraction, document classification, and facial attribute detection. 
About the Role 
We are seeking an experienced and highly skilled Computer Vision &amp; Video Analytics Engineer to join our cutting-edge AI engineering team. In this role, you will design, build, and optimize real-time intelligent video analytics (IVA) systems by bridging the gap between machine learning models and high-performance production deployment.

You will architect and optimize GPU-accelerated video pipelines using NVIDIA DeepStream, GStreamer, CUDA, and TensorRT to deliver low-latency, scalable, and production-grade solutions. 
Responsibilities
<ul>
<li>Architect, develop, and optimize real-time video analytics pipelines using NVIDIA DeepStream and GStreamer.</li>
<li>Optimize deep learning inference using TensorRT and maximize GPU performance using CUDA.</li>
<li>Integrate computer vision models (detection, segmentation, tracking, classification) into production systems.</li>
<li>Write clean, efficient, and maintainable C/C++ and Python code for Linux-based environments.</li>
<li>Troubleshoot, debug, and optimize GPU-accelerated, high-throughput applications.</li>
<li>Collaborate with data scientists, hardware teams, and backend engineers to refine and deploy AI pipelines.</li>
<li>Participate in code reviews, system design discussions, and performance optimization sessions.</li></ul> 


Requirements 
<ul>
<li>
Professional software engineering experience with a focus on computer vision, GPU acceleration, or high-performance computing.</li>
<li>Strong proficiency in C/C++ and Python.</li>
<li>Hands-on experience with:
<ul><li>NVIDIA DeepStream SDK</li>
<li>GStreamer multimedia pipelines</li>
<li>CUDA programming</li>
<li>TensorRT for model optimization</li>
</ul></li><li>Strong understanding of computer vision tools and frameworks: OpenCV, PyTorch, TensorFlow, ONNX.</li>
<li>Familiarity with message brokers such as Kafka, MQTT, or microservice architectures.</li>
<li>Strong grasp of CV concepts: object detection, segmentation, classification, tracking, and model optimization.</li>
<li>Excellent debugging and problem-solving skills in GPU-accelerated environments.</li>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Electrical Engineering, or a related field.</li></ul> 


Preferred Qualifications 
<ul>
<li>Experience with Docker, containerization, and Kubernetes.</li>
<li>Hands-on experience with NVIDIA Jetson or other edge AI platforms.</li>
<li>Experience building custom GStreamer plugins or low-level GPU kernels.</li></ul> 


Essential Skills:

The ideal candidate demonstrates strong business acumen, can translate objectives into impactful solutions, and is proficient in leveraging AI tools&mdash;including mandatory use of platforms like ChatGPT&mdash;to enhance efficiency. An ownership mindset and the ability to drive outcomes with minimal task-level direction are essential. 
Benefits: Health Insurance (OPD/IPD), Separate Maternity Cover, Leave encashment, Car Support Program, Referral Bonus, EOBI, Bi-Annual Increment. Provident Fund, Career Growth, Bonus (benefits vary based on location) 


Multiple Locations: Pakistan, India, UAE, Australia, Canada &amp; USA</div>

CUDA Developer

HR Ways

About the job Senior AI/ML Engineer - Remote from LahoreHiring Senior AI/ML Engineer - Remote from Lahore&#65279;Client Company Introduction:&#65279;An AI-based agriculture technology firm headquartered in Canada. &#65279; &#65279;Job Description:<ul><li>Data Preparation &amp; Baseline Model:</li></ul>Audit and validate annotated datasets for quality and consistency. Define data schema, coordinate systems, and identifiers. Implement preprocessing workflows (tiling, normalization, augmentation). Split data into training, validation, and test sets for robust evaluation. Train baseline object detection or counting models (e.g., YOLO, Faster R-CNN). Deliver baseline performance report with metrics (precision, recall, counting error).<ul><li>Model Optimization &amp; Calibration:</li></ul>Optimize model performance using hyper-parameter tuning and hard example mining. Validate across diverse conditions and unseen data. Implement geospatial alignment and calculate object densities or spatial statistics. Calibrate detection thresholds for precision and recall balance. Compare automated results with manual benchmarks and refine accordingly.<ul><li>Cloud Deployment &amp; Output Generation:</li></ul>Containerize models (Docker) and deploy on AWS or Azure using services like Sage Maker, ECS, or Azure ML. Automate inference pipelines integrated with S3, Blob Storage, or Data Lakes. Generate structured outputs (CSV, GeoTIFF, GeoJSON) for analytics and visualization. Expose APIs for inference job submission and results retrieval. Test scalability and runtime efficiency across sample datasets.<ul><li>Reporting, QA, and Knowledge Transfer:</li></ul>Develop automated reporting tools summarizing predictions and insights (PDF or dashboard format). Conduct end-to-end QA for accuracy, reliability, and coordinate integrity. Document workflows, performance benchmarks, and retraining processes. Provide knowledge transfer and technical training for internal teams.Required Skills &amp; Experience:<ul><li>5+ years of experience in Machine Learning, AI, or Computer Vision.</li><li>Expertise in Python, PyTorch/TensorFlow, OpenCV, and NumPy/Pandas.</li><li>Proficiency with annotation tools such as Roboflow and CVAT for dataset labeling and management.</li><li>Experience with cloud-based ML deployment on AWS or Azure.</li><li>Strong background in object detection, segmentation, and model optimization.</li><li>Familiarity with geospatial data processing (GDAL, GeoPandas, rasterio, shapely).</li><li>Proficiency with Docker, API development (FastAPI/Flask), and automation scripts.</li><li>Excellent documentation, reporting, and presentation skills.</li></ul>Other Details:<ul><li>Work Mode: Remote from Lahore</li><li>Experience: 5+ Years in AI/ML</li></ul><ul><li>Working Timings: 9am-6pm</li></ul>About HR Ways:HR Ways is an Award winning Technical Recruitment Firm helping software houses and IT Product companies internationally and locally to find IT Talent. HR Ways is engaged by 300+ Employers worldwide ranging from worlds biggest SaaS Companies to most competitive Startups. We have entities in Dubai, Canada, US, UK, Pakistan, India, Saudi Arabia, Portugal, Brazil and other parts of the world. &#65279;Join our WhatsApp Channel https://shorturl.at/983az to stay updated or visit www.hrways.co to know more.&quot;Job Type: Full-timeWork Location: In person

Senior AI/ML Engineer

eSpark Talent

AI/ML Research Intern &ndash; Quant &amp; Financial IntelligenceeSpark Talent is seeking exceptionally talented and highly driven individuals focused on quantitative finance, market prediction, and advanced machine learning. This role is designed for builders, problem-solvers, and researchers who want real-world exposure to financial AI systems and quantitative modelling. We want individuals who can think creatively, experiment rigorously, and build high-impact models.Key Responsibilities:<ul><li>Develop predictive ML models for equities, options, and market microstructure.</li><li>Engineer novel features such as volatility indicators, gamma exposure signals, and flow-based metrics.</li><li>Build and optimize ensemble architectures across classifiers, regressors, and time-series models.</li><li>Design backtesting and simulation frameworks for evaluating predictive signals.</li><li>Work with large-scale, noisy, real-time financial datasets.</li><li>Automate pipelines for data ingestion, cleaning, normalization, and labeling.</li><li>Experiment with feature extraction, including deep-learning-based embeddings.</li><li>Analyze model performance across various market regimes and conditions.</li><li>Present weekly research updates, insights, and model enhancements.</li><li>Prepare explainability reports (SHAP, ICE plots, feature attributions).</li></ul>Requirements:<ul><li>Demonstrated expertise through Kaggle competitions, notebooks, or structured ML pipelines.</li><li>Strong capability in cleaning, engineering, and synthesizing large, complex, and noisy datasets.</li><li>Experience with model stacking/ensembles, feature engineering, experimental design, and optimizing ML workflows.</li><li>Strong knowledge of Market prediction tasks like classification, regression, forecasting, volatility modelling.</li><li>Concepts such as Options Greeks, GEX, volatility surfaces, order flow, and market microstructure (highly preferred).</li><li>Evaluation methodologies using financial metrics (Sharpe ratio, drawdown, expectancy).</li><li>Handling non-stationary data, regime shifts, and applying walk-forward testing.</li><li>Proficiency in Python (NumPy, Pandas, Scikit-Learn, PyTorch/TF/JAX).</li><li>Experience with experiment tracking tools (MLflow, Weights &amp; Biases).</li><li>Ability to write clean, modular, research-grade code.</li><li>Capability to implement research papers and reproduce results from scratch.</li></ul>Qualifications: Bachelor&rsquo;s degree in CS, Data Science, Mathematics, Engineering, or a related field.Preferred Skills:<ul><li>Experience with deep learning for tabular or time-series models.</li><li>Knowledge of derivatives concepts (gamma, vanna, skew, etc.).</li><li>Prior exposure to quantitative research projects, university competitions, or academic papers.</li></ul>Benefits:<ul><li>Paid 3-month internship with hands-on quantitative research.</li><li>Direct mentorship from senior AI, ML, and quant research leaders.</li><li>Access to real, institutional-grade financial datasets.</li><li>Weekly research sprints and iterative project cycles.</li><li>State-of-the-art tooling, cloud access, and GPU compute resources.</li><li>Opportunity for a full-time role upon successful performance</li></ul>Job Type: Full-timeWork Location: In person

AI/ML Intern

UTF Labs

Join Our Dynamic Team as a Full Stack EngineerLocation: Karachi, Pakistan Position: Full Stack Engineer (NextJS, React, TypeScript)Are you an innovative Full Stack Engineer ready to make an impact? We&rsquo;re looking for a passionate and talented individual to join our in-house development team. If you thrive in a collaborative environment and have a deep understanding of NextJS, React, TypeScript, and PostgreSQL, this is your opportunity to shape the future of high-performance, SEO-optimized web applications.What You&rsquo;ll Do:<ul><li>Full Stack Development: Lead the design, development, and maintenance of robust, full-stack web applications using NextJS and React frameworks.</li><li>NextJS Expertise: Drive server-side rendering (SSR), static site generation (SSG), and API routes to enhance performance and SEO.</li><li>Frontend Engineering: Build modern, responsive user interfaces with React and TailwindCSS, ensuring seamless performance across devices.</li><li>Backend Services: Develop and maintain powerful RESTful APIs, integrate with PostgreSQL databases, and handle server-side logic.</li><li>Database Management: Design optimal database schemas, craft complex queries, and ensure efficient handling of large datasets.</li><li>TypeScript Mastery: Write clean, maintainable, and type-safe code, adhering to TypeScript best practices.</li><li>Testing &amp; Debugging: Conduct thorough testing and debugging to ensure top-notch code quality and app stability.</li><li>Version Control: Utilize Git for source control, and manage codebases via GitHub/GitLab with best practices.</li><li>Collaboration: Work hand-in-hand with cross-functional teams to convert ideas into technical solutions that meet user needs.</li><li>Performance Optimization: Continuously fine-tune the application for speed, scalability, and user experience.</li></ul>What We&rsquo;re Looking For:<ul><li>Degree: Bachelor&rsquo;s in Computer Science, Software Engineering, or a related field.</li><li>Experience: 2+ years of full-stack web development experience, especially with NextJS, React, and TypeScript.</li><li>Technical Expertise:</li><li>Proficient in NextJS for SSR, SSG, and API routing.</li><li>Solid knowledge of PostgreSQL and complex database schema design.</li><li>Experience with TailwindCSS (or similar CSS frameworks).</li><li>Version Control: Comfortable using Git and modern development workflows (GitHub/GitLab).</li><li>Problem-Solving Skills: Excellent attention to detail and the ability to troubleshoot and resolve complex issues.</li><li>Team Player: Collaborative, flexible, and driven to continuously learn and improve.</li></ul>Why Join Us?<ul><li>Innovative Environment: Work with cutting-edge technologies and contribute to groundbreaking projects.</li><li>Growth Opportunities: Grow your skills and career alongside a supportive team.</li><li>Flexible Work Culture: Embrace a collaborative and flexible work environment with ample opportunities for learning and development.</li></ul>Ready to take your career to the next level? Apply now and be a part of our exciting journey in crafting scalable, high-performance web applications!Job Type: Full-timePay: Rs80,000.00 - Rs120,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Next JS &amp; React: 2 years (Required)</li><li>TypeScript: 2 years (Required)</li><li>Full Stack Engineer: 1 year (Required)</li></ul>Work Location: In person

Full Stack Developer

Explore 699+ Deep learning engineer in Karachi this November. Find roles across top companies and apply now to boost your career.