16 Yolo Jobs

Job Description: We are seeking a skilled and innovative AI/ML Engineer to design, build, and deploy machine learning solutions that solve complex business challenges in mission-critical industries. You will work with multidisciplinary teams to apply AI, ML, and deep learning techniques to large-scale datasets and real-time operational systems. Key Responsibilities: Design and implement end-to-end ML pipelines: data ingestion, model training, evaluation, and deployment Build predictive and prescriptive models using structured, unstructured, and real-time data Develop and fine-tune deep learning models for NLP, computer vision, or time series forecasting Integrate ML models into enterprise platforms, APIs, and dashboards Work closely with domain experts, data engineers, and DevOps teams to ensure production-grade performance Conduct model validation, bias testing, and post-deployment monitoring Document workflows, architecture, and results for reproducibility and audits Research and evaluate new AI tools, techniques, and trends Required Skills & Qualifications: Bachelor's or Masters degree in Computer Science, Data Science, Engineering, or related field 5-7 years of hands-on experience in developing and deploying ML models Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, XGBoost) Experience with NLP (BERT, spaCy) or CV frameworks (OpenCV, YOLO, MMDetection) Familiarity with data processing tools (Pandas, Dask, Apache Spark) Proficient in SQL and experience with time-series or sensor data Knowledge of ML Ops practices and tools (Docker, MLflow, Airflow, Kubernetes) Industry experience in Oil & Gas, Power Systems, or Urban Analytics Hands-on with edge AI (Jetson, Coral), GPU compute, and model optimization Cloud services: AWS SageMaker, Azure ML, or Google AI Platform Familiarity with REST APIs, OPC-UA integration, or SCADA data sources Knowledge of responsible AI practices (explainability, fairness, privacy).

About the Role: Looking for a highly experienced Computer Vision Specialist / AI Engineer to join our dynamic team. The ideal candidate will have a proven track record of delivering real-world computer vision and deep learning solutions, particularly in smart monitoring and edge & cloud AI applications. This role demands deep technical expertise in designing and deploying vision-based solutions such as object detection, object tracking, facial recognition, behavioral analysis, ANPR and OCR. You will lead the development and deployment of scalable, production-grade AI systems. Lead the architecture, development, and deployment of computer vision systems from concept to production. Develop and optimize advanced vision algorithms and deep learning models for real-time performance. Optimize AI/ML models for deployment across edge, cloud, and hybrid environments using tools like TensorRT, TFLite, OpenVINO, and ONNX. Collaborate with hardware and software engineering teams to ensure system-wide performance optimization. Conduct thorough testing, benchmarking, and performance tuning of models and systems. Required Skills & Experience: 25 years of hands-on experience in Computer Vision, Deep Learning, and AI model deployment. Strong proficiency in Python , with production-level experience in writing clean, modular, and scalable code. Familiar with frameworks and tools such as OpenCV, TensorFlow, PyTorch, YOLO, MediaPipe, Dlib. In-depth knowledge of: Convolutional Neural Networks (CNNs) o Object detection and tracking o Facial recognition techniques o Video-based behavioral analysis RTSP streaming, CCTV camera systems, NVR/DVR integration Deployment experience on platforms including: Edge devices (NVIDIA Jetson, Raspberry Pi, Coral Edge TPU) o Cloud (AWS/Azure/GCP) with containerization tools (Docker) Strong understanding of MLOps tools and workflows, including model tracking, data versioning, monitoring, and retraining. Nice to Have: Familiar with LLM and Vision Language Models

Looking for candidate who are ready to join us within 30 days max. Required Skills & Qualifications: Experience: 5+ years in AI/ML development, with a proven track record of deploying scalable AI systems. Technical Expertise: Proficient in Python, TensorFlow, PyTorch, yolo and other AI/ML frameworks. Experience with cloud platforms (AWS, Google Cloud, Azure) for AI deployment. Familiar with containerization (Docker) and CI/CD pipelines. Strong skills in Git, version control, and debugging. Leadership experience, including code review.

We are looking for a skilled AI/ML Engineer with expertise in Python, PyTorch, TensorFlow, and YOLO to join our team at Evnek Technologies Pvt Ltd. The candidate should have a solid understanding of deep learning and computer vision, and should be capable of developing and deploying models for real-world applications. Responsibilities include working on object detection, training and optimizing models, handling large datasets, and integrating AI into web solutions. Experience with Docker, FastAPI, React.js, and Node.js is a plus. Familiarity with cloud platforms like AWS/GCP/Azure is preferred. This is a remote position. Location- Remote,Delhi NCR,Bengaluru,Chennai,Pune,Kolkata,Ahmedabad, Mumbai,Hyderabad Education- Bachelors Degree in Computer Science, Information Systems, or a related field

Job Title: Machine Learning (ML) Engineer Location: Mumbai Experience : 3+ years Education : BE/BTech in Computer Science, Electronics, or related field Job Summary : We are looking for an experienced ML Engineer to join our team in Mumbai. The ideal candidate will have a solid foundation in machine learning, computer vision, and deep learning, along with strong programming and communication skills. You will be involved in Applied ML, designing, building, and optimizing ML models for real-world applications. Primary Skills : Strong proficiency in Ubuntu/Linux, SQL, Python Expertise in Machine Learning, Deep learning , Computer Vision Hands-on experience with end-to-end ML workflows Good communication skills both verbal and written Experience working with YOLO (You Only Look Once) object detection framework Good to Have : Familiarity with model quantisation techniques Experience working with Qualcomm hardware or SDKs Experience with CUDA programming

Youll make a difference by: We are seeking a highly skilled and motivated AI/ML Engineer having experience in the field of artificial intelligence and machine learning. The ideal candidate should have expertise in developing and implementing AI/ML algorithms, a strong background in computer vision, hands-on experience with open-source Generative AI models, and a solid foundation in mathematical and statistical principles. As part of our dynamic AI team, you will work on designing, building, and optimizing AI systems with a focus on innovative solutions. Key Responsibilities: Developing and implementing AI-based solutions to enhance the efficiency, effectiveness, and speed of our R&D processes. Continuously monitoring and evaluating implemented AI solutions to ensure their performance and continuous improvement. Promoting knowledge exchange and competency development in the field of AI within the company Develop POC's to solve real-world problems in various domains such as text summarization, chatbots, language translation, image generation, data augmentation, and content synthesis, preferably with locally hosted models, open-source tools and frameworks. AI Model Optimization: Focus on optimizing AI models for performance, efficiency, and scalability, ensuring that they run effectively in offline environments without the need for cloud-based solutions. Computer Vision Applications: Work on AI-driven computer vision projects, including but not limited to image classification, object detection, segmentation, and image enhancement. Implement innovative computer vision algorithms for solving practical problems. AI & ML Algorithms: Leverage machine learning (ML) techniques to improve and fine-tune generative AI models and computer vision systems. Familiarity with both supervised and unsupervised learning techniques is essential. Research and Development: Stay up to date with the latest advancements in Generative AI, Computer Vision, and related fields. Experiment with new techniques and frameworks to continually improve the quality and capabilities of our solutions. Collaboration: Work closely with data scientists, software engineers, and product teams to deliver high-quality AI-based products. Contribute to the teams technical discussions and knowledge sharing. Model Deployment & Maintenance: Work on deploying and maintaining AI models, ensuring reliability and performance. Set up and manage model training and inference pipelines. Qualifications: Education: bachelors or masters degree in computer science, mathematics, or a comparable field with a focus on artificial intelligence Experience: Minimum of 3 to 4 years of hands-on experience in AI/ML development or data science, with a strong focus on Generative AI and Computer Vision. Experience working with open-source, locally hosted models is highly preferred. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or openVINO. Experience with GenAI or Large Language Models or NLP for training, fine-tuning, and evaluating LLMs Experience in computer vision algorithms and frameworks (e.g., OpenCV, Detectron2, YOLO). Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning). Familiarity with deploying AI models in offline environments and working with locally hosted models. Strong mathematical/statistical skills and the ability to clearly understand, define and communicate complex concepts in this area. Programming Skills: Advanced proficiency in Python and relevant AI/ML libraries (NumPy, SciPy, scikit-learn). Familiarity with version control tools (e.g., Git). Experience with C++ along with Docker, Kubernetes, or other containerization technologies is a plus. Problem Solving: Strong analytical and problem-solving skills with the ability to tackle complex and unstructured problems in AI and computer vision. Communication Skills: Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders. Nice-to-Have: Familiarity with AI hardware accelerators (e.g., GPUs, TPUs) and distributed computing. Knowledge of AI ethics and privacy considerations, especially in the context of offline AI. Desired Skills: 2-5 years of experience is required. Great Communication skills. Analytical and problem-solving skills

Location - Noida Sector 16 Job Description Looking for engineers with knowledge of Artificial Intelligence, Machine Learning, and Deep Learning algorithms. Knowledge of programming language Python. Knowledge of Machine Learning/Deep Learning libraries like TensorFlow, Keras, NumPy, Pandas, scikit-learn, SciPy, etc. Basic understanding of computer vision concepts and libraries. Strong knowledge of data structures and algorithms. Strong mathematical skills. Excellent analytical and problem-solving skills. Experience with Generative AI (GenAI) and the latest developments in AI to support GIS functionality. Proficiency in Python scripting. Experience with YOLO-based live detection on video and images. Knowledge of the latest segmentation techniques to find coarse features in images and create multiple segments. Proven experience with GenAI and Large Language Models (LLMs), including speech-to-text models and multi-modal input models. Requirements Good programming skills in Python. Knowledge of TensorFlow, Theano, OpenCV, Keras, NumPy, etc. Experience with Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). Knowledge of developing and training deep neural networks. Knowledge of writing machine learning algorithms: supervised, unsupervised classification, and regression. Good communication and analytical skills. Proven experience with GenAI and LLMs. Experience with YOLO-based live detection on video and images. Knowledge of the latest segmentation techniques for image processing. Experience with speech-to-text models and multi-modal input models.

About the job: This is a full-time onsite role responsible for technical support, project coordination, analytical skills, and communication. Key Responsibilities: 1. Work to ensure that support is provided on time, seamless coordination is done between customers and internal teams, tracking and driving installations, issue resolution and meet quality standards. 2. Responsible for coordinating project schedules, preparing project status reports, managing project documentation, and providing administrative support to project teams. Qualifications: 1. Technical project support and project coordination experience 2. Analytical skills to interpret and communicate project data 3. Excellent communication skills for liaising with stakeholders and project team members 4. Administrative assistance experience to provide support to project teams 5. Ability to do smooth coordination between domestic/international customers and internal teams with objective of resolving customer queries, issue resolution and maintaining customer relationship 6. Proficiency in Microsoft Office suite and project management software will be an added advantage 7. Minimum relevant experience of 1-2 years handling coordination for multiple projects in IT 8. Organizational skills to manage multiple projects and competing priorities 9. Bachelor's degree in business administration, BCA, MCA, project management, or related field Position full time. Office in Chandivali, Mumbai Who can apply: Only those candidates can apply who: have minimum 1 years of experience are from Mumbai only are Computer Science Engineering students Salary: ₹ 2,40,000 - 4,20,000 /year Experience: 1 year(s) Deadline: 2025-06-12 23:59:59 Other perks: Informal dress code Skills required: HTML, CSS, PL/SQL, English Proficiency (Spoken), English Proficiency (Written), Flask and Yolo Other Requirements: BCA, MCA, M Tech, BE, BSc IT preferred About Company: Aurify Systems is a technology solution provider focused on providing affordable and robust solutions to various industries such as retail, oil & gas, real estate, hospitality, manufacturing, and construction. Our solutions include real-time analytics, automation, safety and security, and machine learning predictions to help businesses with decision making, improved customer experience, and operational excellence. Located in Mumbai, we are committed to providing innovative technology solutions to help businesses with their unique challenges.

Youll make a difference by: We are seeking a highly skilled and motivated AI/ML Engineer having experience in the field of artificial intelligence and machine learning. The ideal candidate should have expertise in developing and implementing AI/ML algorithms, a strong background in computer vision, hands-on experience with open-source Generative AI models, and a solid foundation in mathematical and statistical principles. As part of our dynamic AI team, you will work on designing, building, and optimizing AI systems with a focus on innovative solutions. Key Responsibilities: Developing and implementing AI-based solutions to enhance the efficiency, effectiveness, and speed of our R&D processes. Continuously monitoring and evaluating implemented AI solutions to ensure their performance and continuous improvement. Promoting knowledge exchange and competency development in the field of AI within the company Develop POC's to solve real-world problems in various domains such as text summarization, chatbots, language translation, image generation, data augmentation, and content synthesis, preferably with locally hosted models, open-source tools and frameworks. AI Model Optimization: Focus on optimizing AI models for performance, efficiency, and scalability, ensuring that they run effectively in offline environments without the need for cloud-based solutions. Computer Vision Applications: Work on AI-driven computer vision projects, including but not limited to image classification, object detection, segmentation, and image enhancement. Implement innovative computer vision algorithms for solving practical problems. AI & ML Algorithms: Leverage machine learning (ML) techniques to improve and fine-tune generative AI models and computer vision systems. Familiarity with both supervised and unsupervised learning techniques is essential. Research and Development: Stay up to date with the latest advancements in Generative AI, Computer Vision, and related fields. Experiment with new techniques and frameworks to continually improve the quality and capabilities of our solutions. Collaboration: Work closely with data scientists, software engineers, and product teams to deliver high-quality AI-based products. Contribute to the teams technical discussions and knowledge sharing. Model Deployment & Maintenance: Work on deploying and maintaining AI models, ensuring reliability and performance. Set up and manage model training and inference pipelines. Qualifications: Education: bachelors or masters degree in computer science, mathematics, or a comparable field with a focus on artificial intelligence Experience: Minimum of 3 to 4 years of hands-on experience in AI/ML development or data science, with a strong focus on Generative AI and Computer Vision. Experience working with open-source, locally hosted models is highly preferred. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or openVINO. Experience with GenAI or Large Language Models or NLP for training, fine-tuning, and evaluating LLMs Experience in computer vision algorithms and frameworks (e.g., OpenCV, Detectron2, YOLO). Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning). Familiarity with deploying AI models in offline environments and working with locally hosted models. Strong mathematical/statistical skills and the ability to clearly understand, define and communicate complex concepts in this area. Programming Skills: Advanced proficiency in Python and relevant AI/ML libraries (NumPy, SciPy, scikit-learn). Familiarity with version control tools (e.g., Git). Experience with C++ along with Docker, Kubernetes, or other containerization technologies is a plus. Problem Solving: Strong analytical and problem-solving skills with the ability to tackle complex and unstructured problems in AI and computer vision. Communication Skills: Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders. Nice-to-Have: Familiarity with AI hardware accelerators (e.g., GPUs, TPUs) and distributed computing. Knowledge of AI ethics and privacy considerations, especially in the context of offline AI. Desired Skills: 2-5 years of experience is required. Great Communication skills. Analytical and problem-solving skills

One of our reputed client has the following opportunity. Work expereince : 8-12yrs Work location : Bangalore Job Designation: Computer-Vision and AI Tech Lead Job Description: We are seeking a highly talented and motivated Individual with strong experience and expertise in the field of Computer Vision and AI with expertise in Edge based AI. The candidate is expected to have expertise in Image Processing with a strong background in Deep Learning, Image processing with AI and with traditional image processing- algorithms for Real-world cutting-edge applications.The candidate is expected to lead realization of cutting-edge projects in Various aspects of Image Processing, image recognition, object detection, tracking and other visual AI tasks considering constraints of working on Edge with limited resource availability. Key Responsibilities Lead a team of Computer Vision and AI engineers Realization of various Vision Driven products and applications on the Edge Work on identifying right methods and hardware based on the application requirement Analysing the requirement from top level and breaking up the problem into algorithms, and hence choose the right solution by using traditional or deep learning methods. Working with the team to realize the algorithm Fine-tune and optimize deep learning models (e.g., CNNs, YOLO, Mask-RCNN) for performance and efficiency in production environments. Collaborate with the engineering and product teams to deploy models in real-world applications. Research and integrate new algorithms and techniques to improve model performance and robustness. Develop custom data augmentation pipelines to improve training efficiency and accuracy. Evaluate model performance and conduct error analysis to guide further improvements. Stay up to date with the latest developments in computer vision and deep learning. Qualifications Educational Background: BTech or MTech or PhD in computer science, Artificial Intelligence, or related fields. Experience: 6 to 10 years of hands-on experience in deep learning and computer vision with Hardware based implementation Essential Qualifications Proficient in C/C++. Proficiency in traditional image processing algorithms. Deep learning frameworks and solid experience with various AI models like object detection models (e.g., YOLO), and face recognition models. Proven experience in training and deploying computer vision models at scale. Familiarity with OpenCV. Having leadership quality to lead a team of engineers in the field of Computer Vision and AI Having very good understanding of AI Hardware and realization of Vision and AI on edge. Desirable Qualifications Working experience on algorithms for Surveillance Cameras Experience with cloud platforms (AWS, Azure) and deploying models in production. Knowledge of edge AI technologies and hardware accelerators. Ability to optimize models for resource-constrained environments. Incase if you fit the role, please mention your current CTC,ECTC,notice period,current location details to sridevi.g@sapwood.net

Required Skill Programming Languages: Proficiency in Python, R, or Java. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, etc. Machine Learning: Strong understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning. Data Science: Experience with data analysis, data visualization, and statistical modeling. Proficiency in using tools like Pandas, NumPy, Matplotlib, and Seaborn. Big Data Technologies: Familiarity with big data processing frameworks like Hadoop, Spark, or Apache Flink. Cloud Platforms: Experience with cloud services such as AWS, Google Cloud, or Azure for deploying AI solutions. Natural Language Processing (NLP): Knowledge of NLP techniques and tools such as NLTK, SpaCy, or GPT-3. Computer Vision: Experience with computer vision techniques and libraries such as OpenCV, YOLO, or Fast R-CNN. Problem-Solving: Strong analytical and problem-solving skills with the ability to think critically and creatively. Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Team Collaboration: Ability to work effectively in a collaborative team environment and contribute to team success.

-> Develop, train, and fine-tune computer vision models for applications such as defect detection, object recognition, and anomaly detection in manufacturing. -> Hands-on experience with YOLO and NVIDIA DeepStream for real-time vision applications. Required Candidate profile -> 3+ years of experience in computer vision, DL and ML for industrial/manufacturing applications. -> Proficiency in Python, and deep learning frameworks. -> Experience deploying ML models on cloud.

Job Title: Machine Learning Engineer Location: Jaipur Job Type: Full-Time About the Role We are looking for a Machine Learning Engineer with expertise in YOLO, custom ML models, and deep learning to join our team. If you have 4+ years of experience in developing and deploying computer vision solutions, this is an exciting opportunity to work on cutting-edge AI applications. Key Responsibilities Develop, train, fine-tune, and optimize YOLO-based object detection models (YOLOv5, YOLOv8, etc.). Design and implement custom ML models tailored to specific business needs. Handle large-scale datasets, including data collection, preprocessing, and augmentation. Deploy ML models in cloud environments (AWS, GCP, Azure) and edge computing platforms (Jetson Nano, Raspberry Pi, Coral TPU, etc.). Optimize ML models using techniques such as quantization, pruning, and model compression. Evaluate and improve model performance using mAP (mean Average Precision), IoU (Intersection over Union), precision-recall, and F1-score. Work closely with data scientists, software engineers, and DevOps teams to integrate models into production systems. Stay updated with the latest advancements in deep learning, computer vision, and AI model optimization. Required Skills & Qualifications Minimum 4+ years of experience in Machine Learning, Deep Learning, and Computer Vision. Strong expertise in YOLO-based object detection models (YOLOv5, YOLOv7, YOLOv8, etc.). Proficiency in Python, TensorFlow, PyTorch, and Keras. Experience with OpenCV, FastAPI, Flask for computer vision applications and API deployment. Knowledge of ONNX, TensorRT for model deployment and optimization. Familiarity with Docker, Kubernetes, MLflow, Kubeflow, and Airflow for MLOps and model lifecycle management. Experience working with cloud-based ML services (AWS SageMaker, Google Vertex AI, Azure ML). Strong understanding of CNNs, RNNs, Transformers, and other deep learning architectures. Hands-on experience in dataset annotation, synthetic data generation, and image preprocessing. Preferred Qualifications Experience in real-time AI applications, robotics, smart surveillance, or autonomous systems. Knowledge of Edge AI deployment on NVIDIA Jetson, Coral TPU, or Raspberry Pi. Experience with generative AI models, self-supervised learning, and synthetic data creation. Prior work in video analytics, smart security systems, healthcare AI, or industrial automation.

Design, develop, and deploy machine learning models and algorithms using Python. Implement computer vision solutions for image and video analysis. Develop natural language processing (NLP) applications for text analysis and understanding. Utilize analytics workbench tools to create and manage data pipelines and workflows. Collaborate with data scientists, software engineers, and other stakeholders to understand project requirements and deliver effective solutions. Conduct research and stay updated with the latest advancements in AI and ML technologies. Ensure the scalability and performance of AI/ML solutions through rigorous testing and optimization. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as an AI/ML Engineer or similar role. Strong proficiency in Python and its libraries (e.g., TensorFlow, PyTorch, scikit-learn). Expertise in computer vision techniques and tools (e.g., OpenCV, YOLO, Mask R-CNN). Experience with NLP frameworks and libraries (e.g., NLTK, spaCy, Transformers). Familiarity with analytics workbench tools and data pipeline management. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML solutions. Knowledge of big data technologies (e.g., Hadoop, Spark). Certification in AI/ML or related technologies.

Design, develop, and deploy machine learning models and algorithms using Python. Implement computer vision solutions for image and video analysis. Develop natural language processing (NLP) applications for text analysis and understanding. Utilize analytics workbench tools to create and manage data pipelines and workflows. Collaborate with data scientists, software engineers, and other stakeholders to understand project requirements and deliver effective solutions. Conduct research and stay updated with the latest advancements in AI and ML technologies. Ensure the scalability and performance of AI/ML solutions through rigorous testing and optimization. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as an AI/ML Engineer or similar role. Strong proficiency in Python and its libraries (e.g., TensorFlow, PyTorch, scikit-learn). Expertise in computer vision techniques and tools (e.g., OpenCV, YOLO, Mask R-CNN). c (e.g., NLTK, spaCy, Transformers). Familiarity with analytics workbench tools and data pipeline management. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML solutions. Knowledge of big data technologies (e.g., Hadoop, Spark).

Design, develop, and deploy machine learning models and algorithms using Python. Implement computer vision solutions for image and video analysis. Develop natural language processing (NLP) applications for text analysis and understanding. Utilize analytics workbench tools to create and manage data pipelines and workflows. Collaborate with data scientists, software engineers, and other stakeholders to understand project requirements and deliver effective solutions. Conduct research and stay updated with the latest advancements in AI and ML technologies. Ensure the scalability and performance of AI/ML solutions through rigorous testing and optimization. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as an AI/ML Engineer or similar role. Strong proficiency in Python and its libraries (e.g., TensorFlow, PyTorch, scikit-learn). Expertise in computer vision techniques and tools (e.g., OpenCV, YOLO, Mask R-CNN). Experience with NLP frameworks and libraries (e.g., NLTK, spaCy, Transformers). Familiarity with analytics workbench tools and data pipeline management. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML solutions. Knowledge of big data technologies (e.g., Hadoop, Spark). Certification in AI/ML or related technologies.