deep learning engineer

Loti AI

<div>About Loti AI, Inc
Loti AI specializes in protecting major celebrities, public figures, and corporate IP from online threats, focusing on deepfake and impersonation detection. Founded in 2022, Loti offers likeness protection, content location and removal, and contract enforcement across various online platforms including social media and adult sites. The company's mission is to empower individuals to control their digital identities and privacy effectively. 
We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. 
Key Responsibilities:<ul><li>
Model Development and Optimization: 
<ul><li>Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems.</li><li>Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs).</li></ul></li><li>
Research and Innovation: 
<ul><li>Stay updated with the latest advancements in deep learning, AI, and related technologies.</li><li>Develop novel architectures and techniques to push the boundaries of what&rsquo;s possible in AI applications</li></ul></li><li>
System Design and Deployment: 
<ul><li>Architect and implement scalable and reliable machine learning pipelines for training and inference.</li><li>Collaborate with software and DevOps engineers to deploy models into production environments</li></ul></li><li>
Collaboration and Leadership: 
<ul><li>Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables.</li><li>Provide mentorship and technical guidance to junior team members and peers.</li></ul></li><li>
Data Management: 
<ul><li>Collaborate with data engineering teams to preprocess, clean, and augment large datasets.</li><li>Develop tools and processes for efficient data handling and annotation</li></ul></li><li>
Performance Evaluation: 
<ul><li>Define and monitor key performance metrics (KPIs) to evaluate model performance and impact.</li><li>Conduct rigorous A/B testing and error analysis to continuously improve model outputs.</li></ul></li></ul> 
Qualifications and Skills:<ul><li>
Education: 
<ul><li>MS in Data Science or Computer Science ( PhD strong plus), or specialization in Deep learning.</li></ul></li><li>
Experience: 
<ul><li>5+ years of experience in developing and deploying deep learning models.</li><li>Proven track record of delivering AI-driven products or research with measurable impact.</li></ul></li></ul><ul><li>
Technical Skills: 
<ul><li>Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and transformers.</li><li>Firm understanding of Data Structures and Algorithms.</li><li>Proficiency in deep learning frameworks such as PyTorch, TensorFlow, or JAX.</li><li>Familiarity with distributed computing frameworks such as Spark or Dask.</li><li>Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes).</li></ul></li><li>
Domain Expertise: 
<ul><li>Experience with at least one specialized domain, such as computer vision, NLP, or Audio .</li><li>Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus.</li></ul></li><li>
Soft Skills: 
<ul><li>Strong problem-solving skills and the ability to work independently.</li><li>Excellent communication and collaboration abilities.</li><li>Commitment to fostering a culture of innovation and excellence.</li></ul></li></ul></div>

Senior Deep Learning Engineer

Randstad Türkiye

<div>
 
 We are looking for a
 
 
 "AI Engineer"
 
 
 on behalf of our global business partner runs in Telecommunication Industry, specified in Computer Vision.
 
 
 
 
 
 
 "If you are currently working as an AI Engineer mastered at Machine Learning and Deep Learning, this could be a fantastic next step in your career in a company set to completely revolutionize the telecommunications industry."
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 
 Master Degree
 
 from a reputable university in Computer Science/Engineering, or a related field of study, a
 
 PhD degree is a big plus
 
 .
 </li>
 <li>
 Strong modeling experience with ability to build deep learning models.
 </li>
 <li>
 Experience in manipulating and analyzing large and complex datasets.
 </li>
 <li>
 Strong interest in solving real world problems.
 </li>
 <li>
 Experience in optimizing performance-critical applications.
 </li>
 <li>
 Familiarity with at least one ML/DL frameworks and libraries in
 
 Pytorch
 
 , Tensorflow, Keras, etc.
 </li>
 <li>
 Advanced proficiency with Python, including experience with various data science libraries such as pandas, scikit-learn, SciPy, NumPy, Jupyter, etc.
 </li>
 <li>
 Experience on Kaggle contest is a plus, Getting a Prize will be better.
 </li>
 <li>
 Very good command of written and spoken English,
 </li>
 <li>
 A strong desire to learn and explore new technologies and good analysis and problem-solving skills.
 </li>
 <li>
 Experience in using source control tool (Git) and package managers.
 </li>
 <li>
 Having developed a project and experience in at least one of the classification, segmentation, and object detection fields.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Publishing academic papers.
 </li>
 <li>
 Preparing proposals for TUBITAK Project etc.
 </li>
 <li>
 Creating AI models from scratch and take ownership of them.
 </li>
 <li>
 Optimize and improve the model with given requirements.
 </li>
 <li>
 Actively participate in development for applying the model.
 </li>
 <li>
 Developing novel architectures for
 
 Computer Vision
 
 tasks.
 </li>
 </ul>
</div>

AI Engineer - Computer Vision

Intozi Technologies Pvt Ltd

Job Title: Computer Vision Engineer Experience Level: 3&ndash;5 Years Location: GurugramJob Type: Full-time Department: Engineering / AI / R&amp;D Reports to: Lead AI Engineer / Engineering ManagerAbout the RoleWe are seeking a skilled and passionate Computer Vision Engineer with 3 to 5 years of industry experience to join our AI team. You will be responsible for designing, developing, and deploying advanced computer vision and image processing solutions across various applications. The ideal candidate has a strong foundation in machine learning and deep learning, with a proven track record of building and optimizing computer vision systems in production environments.Key Responsibilities<ul><li>Develop and implement computer vision algorithms for tasks such as object detection, segmentation, classification, tracking, and pose estimation.</li><li>Build and train deep learning models using frameworks like TensorFlow, PyTorch, or OpenCV.</li><li>Collaborate with data scientists and product teams to define system requirements and design robust, scalable solutions.</li><li>Optimize models for performance, latency, and accuracy on edge devices or in cloud environments.</li><li>Analyze large datasets of images and videos to improve algorithm performance.</li><li>Stay updated with the latest research and developments in computer vision and AI.</li><li>Contribute to code reviews, documentation, and maintain high standards of software quality.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Electrical Engineering, Robotics, or a related field.</li><li>3&ndash;5 years of hands-on experience in computer vision, machine learning, or deep learning roles.</li><li>Proficient in Python and libraries such as OpenCV, NumPy, and scikit-learn.</li><li>Experience with deep learning frameworks like TensorFlow, Keras, or PyTorch.</li><li>Solid understanding of image processing techniques, CNNs, and classical vision methods.</li><li>Experience with model deployment (e.g., ONNX, TensorRT, OpenVINO) and performance tuning.</li><li>Familiarity with version control systems (e.g., Git) and Agile/Scrum development practices.</li></ul>Preferred Qualifications<ul><li>Experience with real-time vision systems or video analytics.</li><li>Background in working with edge devices (e.g., NVIDIA Jetson, Raspberry Pi).</li><li>Knowledge of 3D vision, SLAM, or multi-view geometry is a plus.</li><li>Publications or contributions to open-source CV/ML projects.</li><li>Familiarity with MLOps tools and containerization (e.g., Docker, Kubernetes).</li></ul>What We Offer<ul><li>Competitive compensation and benefits</li><li>Opportunity to work on cutting-edge technology</li><li>Flexible work environment</li><li>Career growth and learning opportunities</li><li>Collaborative and inclusive team culture</li></ul>hr@intozi.ioJob Types: Full-time, PermanentPay: ₹50,000.00 - ₹75,000.00 per monthBenefits:<ul><li>Provident Fund</li></ul>Work Location: In person

Computer Vision Engineer

AdmeeSync

Job Title 1 : Machine Learning Engineer (Image Modality)Experience: 2 &ndash; 4 YearsCollaboration Duration: 6 MonthsEngagement Mode: RemoteBudget: 30,000 - 40,000Timezone: IndiaPosition OverviewWe are seeking a highly motivated and experienced Machine Learning Engineer with a strong focus on image modality to design, develop, and deploy advanced machine learning and deep learning solutions for image-based applications. The role involves contributing across the full ML lifecycle, from data preprocessing to production deployment, while collaborating with cross-functional teams.Key Responsibilities- Design, develop, and deploy machine learning and deep learning models for image-based tasks such as classification, object detection, segmentation, super-resolution, and image generation.- Build and maintain robust image preprocessing and data augmentation pipelines for diverse datasets.- Implement and fine-tune vision architectures including CNNs, Vision Transformers, diffusion models, and other state-of-the-art computer vision approaches.- Collaborate closely with data engineers, software developers, product managers, and researchers to define and solve imaging problems.- Analyze model performance using quantitative metrics and visual diagnostics; identify failure modes and optimization opportunities.- Optimize models for performance, scalability, and real-time inference, including techniques like quantization and pruning.- Contribute to production-ready ML pipelines and follow MLOps best practices.- Stay updated with the latest research in computer vision and propose innovative solutions for business-critical use cases.Required Skills &amp; Qualifications- 3+ years of industry experience in Machine Learning / Deep Learning, with a strong focus on image modality.- Solid understanding of computer vision fundamentals, including convolutional networks, feature extraction, and geometric transformations.- Strong proficiency in Python.- Hands-on experience with ML/DL frameworks and libraries:- PyTorch- TensorFlow- OpenCV- scikit-learn- Experience training and fine-tuning models on GPU-based infrastructure.- Strong understanding of model evaluation and cross-validation techniques.- Experience with image quality and evaluation metrics such as IoU, PSNR, and SSIM.- Experience with Docker, version control systems, and deploying ML models in production environments.Preferred / Bonus Skills- Experience with transformer-based vision models such as ViT, DETR, SAM.- Exposure to multi-modal learning (e.g., vision-language models).- Knowledge of synthetic data generation, image annotation tools, and data-centric AI practices.- Experience with edge deployment or embedded/real-time vision systems.- Familiarity with MLOps workflows and CI/CD for ML systems.Technology Stack (Key Skills)- Python- PyTorch, TensorFlow- OpenCV, scikit-learn- CNNs, Vision Transformers (ViT, DETR, SAM)- GPU-based training- Docker &amp; MLOps- Image metrics: IoU, PSNR, SSIMJob Title 2 : Senior ML EngineerExperience: 7+ YearsLocation: RemoteBudget: 60,000 - 80,000Job SummaryWe are looking for a highly skilled Senior Machine Learning Engineer with 7+ years of experience in designing, building, and deploying scalable ML solutions. The ideal candidate will work closely with data scientists, product teams, and engineering stakeholders to translate business requirements into production-grade ML systems.Key ResponsibilitiesDesign, develop, and deploy machine learning models at scale.Build end-to-end ML pipelines including data preprocessing, model training, validation, and deployment.Optimize model performance, scalability, and reliability in production environments.Collaborate with cross-functional teams to integrate ML solutions into products.Work with large datasets and apply advanced statistical and ML techniques.Monitor model performance and implement continuous improvement strategies.Mentor junior engineers and contribute to best practices and ML standards.Required Skills &amp; Qualifications7+ years of experience in Machine Learning / Applied AI.Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).Experience with data processing tools and libraries (Pandas, NumPy, Spark).Strong understanding of supervised and unsupervised learning techniques.Experience deploying ML models using cloud platforms (AWS / Azure / GCP).Knowledge of MLOps, CI/CD pipelines, model versioning, and monitoring.Solid understanding of data structures, algorithms, and system design.Good to HaveExperience with NLP, Computer Vision, or Generative AI.Exposure to Kubernetes, Docker, and microservices architecture.Experience working in remote, distributed teams.Job Type: Contractual / TemporaryPay: ₹30,000.00 - ₹80,000.00 per monthWork Location: Remote

Machine Learning Engineer

Indigo Textile Pvt. Ltd.

We&rsquo;re Hiring &ndash; AI EngineerIndigo Textile Pvt. Ltd is looking for fresh graduates from NUST and FAST who are passionate about AI, ML, and deep learning to join our team.If you&rsquo;ve worked on ML/DL/NLP projects, have a GitHub portfolio, or completed an AI-related FYP, we&rsquo;d love to hear from you.Apply at: hr@indigo.com.pkPort QasimJob Type: Full-timeWork Location: In person

AI Engineer

Cheshire Subway

AI Backend Engineer &mdash; LLM Inference (DeepSeek, vLLM, FastAPI)Job Type:45-day contract (full-time), potential long-term roleAbout the Role:We are building a real-time AI system using open-source LLMs. Your job is to install and optimize backend deep learning infrastructure. You will NOT work on business logic &mdash; only the engine.Responsibilities:<ul><li>Install, configure, and optimize DeepSeek R1 / V3 models</li><li>Deploy vLLM or LM Studio inference server</li><li>Build FastAPI backend to expose custom LLM APIs</li><li>GPU optimization &amp; quantization (AWQ, GPTQ, FP8)</li><li>Manage model weights, tokenizers, streaming endpoints</li><li>Implement secure API access keys</li><li>Work closely with a system architect (CTO-level guidance provided)</li></ul>Qualifications:<ul><li>Strong Python + FastAPI skills</li><li>Experience with vLLM / TGI / Ollama / LM Studio</li><li>Deep learning fundamentals (PyTorch)</li><li>Knowledge of GPU environments (CUDA, cuDNN)</li><li>Experience deploying LLMs locally or on cloud</li></ul>Job Type: Contract Contract length: 45 daysPay: Rs120,000.00 - Rs180,000.00 per monthWork Location: Remote

AI Backend Engineer — LLM Inference (DeepSeek, vLLM, FastAPI)

T-Tech Solutions Pvt Ltd

Position: Computer Vision Engineer Experience Required: Minimum 1 year Education: Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related fieldJob OverviewWe are looking for a passionate and skilled Computer Vision Engineer with hands-on experience in object detection, image/video processing, and model deployment. The ideal candidate should be able to work with deep learning frameworks, prepare datasets, and develop real-time computer vision solutions.Required Skills Computer Vision &amp; Deep Learning<ul><li>Object detection (YOLO or similar models)</li><li>Image and video processing</li><li>OpenCV for preprocessing and augmentation</li><li>Experience with PyTorch or TensorFlow</li><li>Understanding of basic ML concepts and evaluation metrics</li><li>Strong Python skills (NumPy, Pandas, Matplotlib)</li><li>Dataset preparation &amp; labeling (CVAT, Roboflow, or similar)</li><li>Handling CCTV/RTSP live video streams</li><li>API development using FastAPI or Flask</li><li>Basic knowledge of Docker</li><li>Git version control</li><li>Experience with Jupyter Notebook</li><li>Linux basics</li></ul>Responsibilities<ul><li>Train and fine-tune computer vision models</li><li>Work with live video camera streams</li><li>Prepare and maintain datasets</li><li>Build and maintain API endpoints for model inference</li><li>Optimize models for speed and accuracy</li><li>Implement detecting, tracking &amp; analytic systems.</li><li>Collaborate with backend teams for deployment</li><li>Maintain code quality &amp; documentation</li></ul>Job Type: Full-timePay: From Rs35,000.00 per monthWork Location: In person

COMPUTER VISION ENGINEER

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