1681 Computer Vision Jobs - Page 22

Your Role Must have experience with Machine Learning Model Development Expert Level Proficiency in Data Handling (SQL) Hands-on with Model Engineering and Improvement Strong experience in Model Deployment and Productionlization Your Profile Extensive experience in developing and implementing machine learning, Deep Learning, NLP models across various domains, Strong proficiency in Python, including relevant libraries and frameworks for machine learning, such as scikit-learn, XGBoost and Keras. Ability to write efficient, clean, and scalable code for model development and evaluation. Proven experience in enhancing model accuracy through engineering techniques, such as feature engineering, feature selection, and data augmentation. Ability to analyze model samples in relation to model scores, identify patterns, and iteratively refine models for improved performance. Strong expertise in deploying machine learning models to production systems. Familiarity with the end-to-end process of model deployment, including data preprocessing, model training, optimization, and integration into production environments. What you will love about working here We recognise the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance Our focus will be your career growth & professional development to support you in exploring the world of opportunities. Equip yourself with valuable certifications & training programmes in the latest technologies such as AIML, Machine Learning The role is applicable for women candidates only. D&I Disclaimer: We are committed to fostering a diverse and inclusive workplace that values and celebrates differences. We believe that diversity in all its forms enriches our organization, promotes innovation, and drives success. We are dedicated to providing equal opportunities for all individuals, regardless of discrimination of any kind, including but not limited to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, neurodiversity, or veteran status. Our commitment extends to embracing all forms of diversity. We actively encourage candidates from diverse backgrounds to apply and join us in shaping a more inclusive future together

Role – Gen AI Engineer - Python Location - Hyderabad Mode of Interview - Virtual Interview Data - 5th June 2025 (Saturday) Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

As an Advanced AI Engineer here at Honeywell, you will provide expert-level technical leadership in the design and development of AI algorithms, models, and systems. You will be responsible for acting as the subject matter expert for technical AI projects and provide direction on exploring and implementing methodologies and best practices. In this role, you will impact critical AI initiatives and drive technical excellence within the organization. This is a unique opportunity to play a key role in shaping the future of AI technology within a company known for its commitment to excellence. Lets shape the future together! At Honeywell, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying, and developing successors, driving retention and engagement, and fostering an inclusive culture. YOU MUST HAVE Bachelor s degree from an accredited institution in Computer science, AI, Electronics, Electrical, Mathematics or related fields. 5+ years building and deploying production-grade ML models. Expertise in designing and training advanced DNNs for Computer Vision and GenAI. Applied experience with Transformers, CNNs, GANs, and Diffusion Models. Mastery of Python, PyTorch, and TensorFlow. Skilled in key libraries: Hugging Face (Transformers, Diffusers), OpenCV, LangChain, LangGraph. Hands-on with MLOps tools: MLflow, Docker, Kubernetes. Proficient with cloud AI services on AWS, GCP, or Azure. Experience with high-performance inference optimization using frameworks like NVIDIA TensorRT, ONNX Runtime, or OpenVINO to accelerate model deployment is a plus. WE VALUE Advanced degrees in Computer Science (CS), AI, Electronics and/or Electrical Engineering (EE), Mechanical Engineering (ME), or related fields Strong leadership and management skills Experience working in an agile development environment. Proven ability to drive successful cloud development projects and initiatives. Ability to work in a fast-paced and dynamic environment. Attention to detail and excellent problem-solving capability. Ability to solve complex problems from first principles. Clear communication of technical ideas to any audience. A collaborative mindset that elevates the entire team. YOU MUST HAVE Bachelor s degree from an accredited institution in Computer science, AI, Electronics, Electrical, Mathematics or related fields. 5+ years building and deploying production-grade ML models. Expertise in designing and training advanced DNNs for Computer Vision and GenAI. Applied experience with Transformers, CNNs, GANs, and Diffusion Models. Mastery of Python, PyTorch, and TensorFlow. Skilled in key libraries: Hugging Face (Transformers, Diffusers), OpenCV, LangChain, LangGraph. Hands-on with MLOps tools: MLflow, Docker, Kubernetes. Proficient with cloud AI services on AWS, GCP, or Azure. Experience with high-performance inference optimization using frameworks like NVIDIA TensorRT, ONNX Runtime, or OpenVINO to accelerate model deployment is a plus. WE VALUE Advanced degrees in Computer Science (CS), AI, Electronics and/or Electrical Engineering (EE), Mechanical Engineering (ME), or related fields Strong leadership and management skills Experience working in an agile development environment. Proven ability to drive successful cloud development projects and initiatives. Ability to work in a fast-paced and dynamic environment. Attention to detail and excellent problem-solving capability. Ability to solve complex problems from first principles. Clear communication of technical ideas to any audience. A collaborative mindset that elevates the entire team. Key Responsibilities Lead the development of complex AI solutions to address specific business needs, ensuring scalability, efficiency, and robustness. Collaborate with cross functional teams to integrate AI solutions seamlessly into existing systems and processes. Work directly with product managers and business leaders to understand requirements and align AI initiatives with overall business objectives. Lead the end-to-end AI development lifecycle, including project planning, resource allocation, and monitoring progress. Provide mentorship and guidance to AI engineers, fostering a culture of continuous learning, innovation , and technical excellence. Key Responsibilities Lead the development of complex AI solutions to address specific business needs, ensuring scalability, efficiency, and robustness. Collaborate with cross functional teams to integrate AI solutions seamlessly into existing systems and processes. Work directly with product managers and business leaders to understand requirements and align AI initiatives with overall business objectives. Lead the end-to-end AI development lifecycle, including project planning, resource allocation, and monitoring progress. Provide mentorship and guidance to AI engineers, fostering a culture of continuous learning, innovation , and technical excellence.

Role & responsibilities: Strong understanding of Python data types and Object-oriented programming. Understanding of the Machine Learning algorithms. (Supervised, Semi-supervised and unsupervised) Understanding different integrations touch points in ML delivery. Should anchor Pilot/MVP/Production Machine learning use case delivery for deployments on cloud as well as open source. Familiar with computer vision and NLP. Mine & analyze the data using state of the arts methods. Develop and implement custom data models and algorithms to apply to datasets. Collaborative mindset with strong verbal and written communication skills. Experience to work in Agile and DevOps processes. Open to learn newer technologies. Preferred candidate profile: Must know Machine Learning Minimum 1 to 2 years of experience is required

About the job We are seeking a highly skilled and motivated AI-ML Lead with expertise in Generative AI and LLMs to join our team. As a Generative AI and LLM Expert, you will play a crucial role in developing and implementing cutting-edge generative models and algorithms to solve complex problems and generate high-quality outputs. You will collaborate with a multidisciplinary team of researchers, engineers, and data scientists to explore innovative applications of generative AI across various domains. Responsibilities: Research and Development: Stay up-to-date with the latest advancements in generative AI, including LLMs, GPTs, GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other related techniques. Conduct research to identify and develop novel generative models and algorithms. Model Development: Design, develop, and optimize generative models to generate realistic and diverse outputs. Implement and fine-tune state-of-the-art generative AI architectures to achieve desired performance metrics. Data Processing and Preparation: Collect, preprocess, and curate large-scale datasets suitable for training generative models. Apply data augmentation techniques and explore strategies to handle complex data types and distributions. Training and Evaluation: Train generative models using appropriate deep learning frameworks and libraries. Evaluate model performance using quantitative and qualitative metrics. Iterate and improve models based on feedback and analysis of results. Collaboration: Collaborate with cross-functional teams, including researchers, engineers, and data scientists, to understand project requirements, define objectives, and identify opportunities to leverage generative AI techniques. Provide technical guidance and support to team members. Innovation and Problem Solving: Identify and tackle challenges related to generative AI, such as mode collapse, training instability, and generating diverse and high-quality outputs. Propose innovative solutions and approaches to address these challenges. Documentation and Communication: Document research findings, methodologies, and model architectures. Prepare technical reports, papers, and presentations to communicate results and insights to both technical and non-technical stakeholders. Requirements: Education: A Master's or Ph.D. degree in Computer Science, Artificial Intelligence, or a related field. A strong background in deep learning, generative models, and computer vision is preferred. Experience: Proven experience in designing and implementing generative models using deep learning frameworks (e.g., TensorFlow, PyTorch). Demonstrated expertise in working with GPTs, GANs, VAEs, or other generative AI techniques. Experience with large-scale dataset handling and training deep neural networks is highly desirable. Technical Skills: Proficiency in programming languages such as Python, and familiarity with relevant libraries and tools. Strong mathematical and statistical skills, including linear algebra and probability theory. Experience with cloud computing platforms and GPU acceleration is a plus. Research and Publication: Track record of research contributions in generative AI, demonstrated through publications in top-tier conferences or journals. Active participation in the AI research community, such as attending conferences or workshops, is highly valued. Analytical and Problem-Solving Abilities: Strong analytical thinking and problem-solving skills to tackle complex challenges in generative AI. Ability to think creatively and propose innovative solutions. Attention to detail and the ability to analyze and interpret experimental results. Collaboration and Communication: Excellent teamwork and communication skills to effectively collaborate with cross-functional teams. Ability to explain complex technical concepts to both technical and non-technical stakeholders. Strong written and verbal communication skills. Adaptability and Learning: Enthusiasm for staying updated with the latest advancements in AI and generative models. Willingness to learn new techniques and adapt to evolving technologies and methodologies.

We are looking for a skilled Technician to join our team at Vijaya Diagnostic Centre Limited, with 1-6 years of experience in the field. The ideal candidate will have a strong background in Biotechnology and be proficient in MRI technology. Roles and Responsibility Operate and maintain MRI machines for optimal performance. Prepare patients for procedures and ensure their safety during scans. Interpret images and provide preliminary reports to doctors. Collaborate with radiologists to diagnose medical conditions. Maintain accurate records of patient information and scan results. Stay updated with new technologies and techniques in MRI imaging. Job Requirements Proficient in MRI technology and its applications. Strong understanding of biotechnology principles and medical imaging concepts. Excellent communication skills for interacting with patients and healthcare professionals. Ability to work effectively in a fast-paced environment and prioritize tasks. Strong analytical skills for interpreting complex data. Familiarity with medical terminology and diagnostic procedures.

Title: AI/ML Architect Location: Onsite Bangalore Experience: 10+ years Position Summary: We are seeking an experienced AI/ML Architect to lead the design and deployment of scalable AI solutions. This role requires a strong blend of technical depth, systems thinking, and leadership in machine learning , computer vision , and real-time analytics . You will drive the architecture for edge, on-prem, and cloud-based AI systems, integrating 3rd party data sources, sensor and vision data to enable predictive, prescriptive, and autonomous operations across industrial environments. Key Responsibilities: Architecture & Strategy Define the end-to-end architecture for AI/ML systems including time series forecasting , computer vision , and real-time classification . Design scalable ML pipelines (training, validation, deployment, retraining) using MLOps best practices. Architect hybrid deployment models supporting both cloud and edge inference for low-latency processing. Model Integration Guide the integration of ML models into the IIoT platform for real-time insights, alerting, and decision support. Support model fusion strategies combining disparate data sources, sensor streams with visual data (e.g., object detection + telemetry + 3rd party data ingestion). MLOps & Engineering Define and implement ML lifecycle tooling, including version control, CI/CD, experiment tracking, and drift detection. Ensure compliance, security, and auditability of deployed ML models. Collaboration & Leadership Collaborate with Data Scientists, ML Engineers, DevOps, Platform, and Product teams to align AI efforts with business goals. Mentor engineering and data teams in AI system design, optimization, and deployment strategies. Stay ahead of AI research and industrial best practices; evaluate and recommend emerging technologies (e.g., LLMs, vision transformers, foundation models). Must-Have Qualifications: Bachelor’s or Master’s degree in Computer Science, AI/ML, Engineering, or a related technical field. 8+ years of experience in AI/ML development, with 3+ years in architecting AI solutions at scale. Deep understanding of ML frameworks (TensorFlow, PyTorch), time series modeling, and computer vision. Proven experience with object detection, facial recognition, intrusion detection , and anomaly detection in video or sensor environments. Experience in MLOps (MLflow, TFX, Kubeflow, SageMaker, etc.) and model deployment on Kubernetes/Docker . Proficiency in edge AI (Jetson, Coral TPU, OpenVINO) and cloud platforms (AWS, Azure, GCP). Nice-to-Have Skills: Knowledge of stream processing (Kafka, Spark Streaming, Flink). Familiarity with OT systems and IIoT protocols (MQTT, OPC-UA). Understanding of regulatory and safety compliance in AI/vision for industrial settings. Experience with charts, dashboards, and integrating AI with front-end systems (e.g., alerts, maps, command center UIs). Role Impact: As AI/ML Architect, you will shape the intelligence layer of our IIoT platform — enabling smarter, safer, and more efficient industrial operations through AI. You will bridge research and real-world impact , ensuring our AI stack is scalable, explainable, and production-grade from day one.

Position Overview: We are seeking an experienced AI Trainer with expertise in Generative AI to join our team. The ideal candidate should have a minimum of 2 years of experience in AI Development. As an AI Trainer, you will be responsible for designing and delivering training programs, workshops, and educational materials to help individuals and teams develop their skills in AI and machine learning, including Generative AI. Key Responsibilities: Develop and deliver AI training programs, workshops, and educational materials for various audiences, including software developers, data scientists, and business professionals. Design and implement curriculum and training materials covering topics such as machine learning algorithms, deep learning frameworks like PyTorch-TensorFlow, natural language processing, computer vision, Generative AI, and AI ethics. Deliver engaging and interactive training sessions, both in-person and virtually, that cater to different learning styles and levels of expertise. Provide guidance and support to participants during hands-on exercises, projects, and assignments to reinforce learning and skills development. Stay updated on the latest trends, tools, and technologies in AI and machine learning, particularly in Generative AI, and incorporate them into training programs as appropriate. Collaborate with other team members, subject matter experts, and stakeholders to continuously improve and refine training content and delivery methods. Evaluate the effectiveness of training programs through assessments, feedback, and performance metrics and make recommendations for improvement. Requirements: Bachelor's degree or higher in computer science, engineering. Minimum of 2 years of experience in AI Development, including experience with machine learning algorithms, deep learning frameworks, Generative AI, and AI development tools. At least 1 year of experience specifically in training others in the field of artificial intelligence, either in a corporate training setting, academic environment, or as a freelance trainer would be preferred. Strong communication and presentation skills, with the ability to explain complex technical concepts in a clear and concise manner. Passion for teaching and mentoring others, with a focus on fostering a collaborative and supportive learning environment. Proven ability to design and deliver engaging and effective training programs that meet the needs of diverse audiences. Experience with instructional design principles, adult learning theory, and instructional technologies is a plus.

We are seeking a motivated AI/ML and Python Developer with 6 years + of experience to join our team. The ideal candidate will have a strong foundation in AI/ML technologies, Python programming, and a passion for solving complex problems. Key Responsibilities: Develop, deploy, and maintain AI/ML models and solutions. Integrate and optimize Large Language Models (LLMs) and Generative AI (Gen AI) technologies. Design and implement AI agents for automation and decision-making tasks. Collaborate with cross-functional teams to deliver scalable AI-driven solutions. Technical Requirements: Proficiency in Python and AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with Gen AI, LLM integration (e.g., OpenAI GPT, Hugging Face), and AI agent development. Familiarity with data preprocessing, model training, and evaluation techniques. Knowledge of REST APIs, cloud platforms (e.g., AWS, GCP), and version control (e.g., Git). Understanding of NLP , computer vision, or reinforcement learning is a plus. Preferred Qualifications: Hands-on experience with Gen AI tools and frameworks. Must Have Good Command over LLM - NLP Techniques Proven ability to work on end-to-end AI/ML projects. Strong problem-solving and communication skills.

We are looking for a skilled Technician to join our team at Vijaya Diagnostic Centre in the healthcare industry. The ideal candidate will have 2-5 years of experience and be responsible for operating MRI machines, ensuring patient safety, and providing high-quality diagnostic services. Roles and Responsibility Operate and maintain MRI machines for optimal performance. Ensure patient safety during procedures and provide emotional support. Collaborate with radiologists to interpret images and make accurate diagnoses. Maintain accurate records of patient information and procedure details. Participate in quality control measures to improve patient care. Stay updated on new technologies and techniques in MRI imaging. Job Requirements Minimum 2 years of experience in an MRI setting or related field. Strong knowledge of medical imaging principles and practices. Ability to work effectively in a fast-paced environment. Excellent communication and interpersonal skills. Familiarity with hospital policies and procedures. Commitment to delivering high-quality patient care.

Looking for skilled Senior Technicians to join our team at Vijaya Diagnostic Centre in the healthcare industry. The ideal candidate will have a strong background in X-Ray technology and 2-4 years of experience. Roles and Responsibility Operate and maintain X-Ray equipment for optimal performance. Prepare patients for procedures, explain protocols, and ensure patient comfort. Take high-quality images and interpret results accurately. Maintain accurate records of patient information and procedure details. Collaborate with other medical professionals to provide comprehensive care. Stay updated on the latest advancements in X-Ray technology and techniques. Job Requirements Minimum 2 years of experience in X-Ray technology or related field. Strong knowledge of X-Ray principles, protocols, and procedures. Excellent communication and interpersonal skills. Ability to work effectively in a fast-paced environment. Strong attention to detail and analytical skills. Familiarity with medical imaging software and equipment.

We are looking for a highly skilled and experienced Assistant to join our Imaging Services team at Vijaya Diagnostic Centre. The ideal candidate will have 2-5 years of experience in the healthcare industry, preferably in imaging services. Roles and Responsibility Assist in planning and implementing imaging protocols for various medical procedures. Operate and maintain imaging equipment, including CT, MRI, and ultrasound machines. Prepare patients for imaging procedures and ensure their safety and comfort during procedures. Collaborate with radiologists and other healthcare professionals to interpret imaging results. Maintain accurate records of patient information and imaging results. Participate in quality control and quality assurance activities to improve imaging services. Job Requirements Minimum 2 years of experience in imaging services or a related field. Strong knowledge of medical imaging principles and practices. Ability to work effectively in a fast-paced environment and prioritize tasks. Excellent communication and interpersonal skills. Ability to maintain confidentiality and handle sensitive information. Familiarity with hospital policies and procedures is an asset.

We are looking for a skilled Technician to join our team at Vijaya Diagnostic Centre, responsible for operating and maintaining MRI equipment. The ideal candidate will have experience in handling medical imaging technology. Roles and Responsibility Operate and maintain MRI machines for optimal performance. Prepare patients for procedures and ensure their safety during scans. Collaborate with radiologists to interpret images and provide accurate diagnoses. Maintain patient records and confidentiality. Stay updated on the latest advancements in MRI technology and techniques. Participate in quality control measures to improve patient care. Job Requirements Minimum 2 years of experience in an MRI setting. Strong knowledge of medical imaging principles and practices. Ability to work effectively in a fast-paced environment. Excellent communication skills for interacting with patients and staff. Familiarity with hospital protocols and procedures. Commitment to delivering high-quality patient care.

We are looking for a highly skilled and motivated individual to join our team as a Trainee - X Ray at Vijaya Diagnostic Centre. The ideal candidate will have excellent customer and communication skills, with the ability to perform all types of X-Ray procedures. Roles and Responsibility Perform various X-Ray procedures with precision and accuracy. Maintain high standards of patient care and safety during procedures. Collaborate with other healthcare professionals to provide comprehensive patient care. Stay updated with the latest techniques and technologies in X-Ray imaging. Participate in quality improvement initiatives to enhance patient satisfaction. Work effectively in a fast-paced environment with attention to detail. Job Requirements Strong foundation in medical imaging principles and practices. Ability to work well under pressure and maintain composure in a dynamic environment. Excellent communication and interpersonal skills. Basic knowledge of patient care and safety protocols. Willingness to learn and adapt to new technologies and procedures. Ability to work collaboratively as part of a team.

Contractual (Project-Based) Notice Period: Immediate - 15 Days Fill this form: https://forms.office.com/Pages/ResponsePage.aspx?id=hLjynUM4c0C8vhY4bzh6ZJ5WkWrYFoFOu2ZF3Vr0DXVUQlpCTURUVlJNS0c1VUlPNEI3UVlZUFZMMC4u Resume- shweta.soni@panthsoftech.com

We are looking for a skilled ML-Ops (AI/ML Ops/Kubernetes) Engineer with 6 to 10 years of experience. The ideal candidate will have a strong background in machine learning and operations, with expertise in AI/ML ops and Kubernetes. Roles and Responsibility Design and implement scalable data pipelines using AI/ML techniques. Collaborate with cross-functional teams to develop and deploy machine learning models. Develop and maintain large-scale data architectures using Kubernetes. Ensure seamless integration of machine learning models into existing systems. Troubleshoot and resolve complex technical issues related to AI/ML and Kubernetes. Implement automated testing and deployment scripts for efficient workflow management. Job Strong understanding of machine learning concepts and algorithms. Experience with AI/ML frameworks such as TensorFlow or PyTorch. Proficiency in programming languages such as Python or Java. Experience with cloud platforms such as AWS or Azure. Knowledge of containerization using Docker and orchestration using Kubernetes. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. About Company Apptad Technologies Pvt Ltd. is an employment firm that provides recruitment services to various industries. We focus on matching top talent with the right opportunities, and we are committed to delivering exceptional results.

We are looking for a skilled MLOps professional with 3 to 11 years of experience to join our team in Hyderabad. The ideal candidate will have a strong background in Machine Learning, Artificial Intelligence, and Computer Vision. Roles and Responsibility Design, build, and maintain efficient, reusable, and tested code in Python and other applicable languages and library tools. Understand stakeholder needs and convey them to developers. Work on automating and improving development and release processes. Deploy Machine Learning (ML) to large production environments. Drive continuous learning in AI and computer vision. Test and examine code written by others and analyze results. Identify technical problems and develop software updates and fixes. Collaborate with software developers and engineers to ensure development follows established processes and works as intended. Plan out projects and participate in project management decisions. Job Minimum 3 years of hands-on experience with AWS services and products (Batch, SageMaker, StepFunctions, CloudFormation/CDK). Strong Python experience. Minimum 3 years of experience with Machine Learning/AI or Computer Vision development/engineering. Ability to provide technical leadership to developers for designing and securing solutions. Understanding of Linux utilities and Bash. Familiarity with containerization using Docker. Experience with data pipeline frameworks, such as MetaFlow is preferred. Experience with Lambda, SQS, ALB/NLBs, SNS, and S3 is preferred. Practical experience deploying Computer Vision/Machine Learning solutions at scale into production. Exposure to technologies/tools such as Keras, Pandas, TensorFlow, PyTorch, Caffe, NumPy, DVC/CML.

Brainwonders is seeking a dynamic and forward-thinking AI Educator to design and deliver engaging learning experiences focused on Artificial Intelligence and its real-world applications. As an AI Educator, you will be responsible for educating students, teachers, and stakeholders on AI fundamentals, ethical implications, and how AI can be used in education and career development. This role is perfect for someone passionate about simplifying complex technology and inspiring the next generation of learners to embrace AI responsibly and creatively. Key Responsibilities: - Design and deliver interactive workshops, webinars, and training sessions on AI concepts (e.g., machine learning, NLP, computer vision) tailored for students, educators, and career counsellors - Develop an age-appropriate AI curriculum, modules, and project-based learning resources - Translate complex AI topics into understandable content for non-technical audiences - Promote AI literacy and awareness across educational institutions - Collaborate with curriculum designers, psychologists, and technical teams to integrate AI into Brainwonders educational offerings - Stay updated with the latest AI trends and tools to keep content fresh and relevant - Assist in building partnerships with schools, colleges, and training institutes for AI education initiatives Qualifications & Skills: - Bachelors or Master s degree in Computer Science, Artificial Intelligence, Data Science, Education Technology, or a related field - Strong understanding of AI/ML fundamentals and their applications - Prior experience in teaching, training, or curriculum development is preferred - Excellent communication, presentation, and facilitation skills - Passionate about education, technology, and ethical AI use - Familiarity with tools like Python, Scratch (for kids), or AI platforms (e.g., Teachable Machine, MIT App Inventor) is a plus Perks: - Work on pioneering AI-education initiatives - Collaborate with a multidisciplinary team of psychologists, technologists, and educators - Opportunities for growth in EdTech and AI curriculum leadership

We are seeking a highly skilled AI Engineer with a strong foundation in backend development and cloud technologies, particularly within the Microsoft ecosystem. The ideal candidate will have experience in AI/ML domains such as Natural Language Processing (NLP), Computer Vision, Video Processing, Text Extraction, Dubbing, and Translation, and be proficient in building scalable, production-ready systems using modern cloud platforms. Responsibilities : - Design and develop advanced backend components, data systems, pipelines, and microservices for AI-driven applications. - Engineer and implement production-ready, cloud-native infrastructures (or on-premise), from databases to serverless architectures. - Integrate and deploy AI models and services, including NLP, computer vision, and video processing solutions. - Utilize Azure AI Services, Cognitive Services, and other cloud-native AI tools to build intelligent applications. - Collaborate with cross-functional teams to deliver scalable and maintainable AI solutions. - Follow best practices in software engineering, including CI/CD, testing, and documentation. Requirements : - Proven experience as a senior software or data engineer, with a strong backend focus. - Advanced proficiency in Python, demonstrated through real-world projects. - Practical experience with backend technologies and frameworks. - Strong knowledge of CI/CD frameworks and DevOps practices. - Expertise in Microsoft Azure, including Azure AI Services and Cognitive Services. - Familiarity with AWS, AWS AI Services, and Google Cloud Platform (GCP) is a plus. - Experience with Docker and Kubernetes for containerization and orchestration. - AI/ML experience, especially in NLP, Computer Vision, Video Processing, Text Extraction, Dubbing, and Translation, is highly desirable. - Data engineering experience is a strong advantage.

We are seeking a 'Computer Vision Engineer' to develop AI-driven video analytics solutions for extracting in-depth cricket data from match footage, live broadcasts, and player tracking systems. This role involves leveraging deep learning, pose estimation, and image processing to analyze player movements, shot selection, bowling mechanics, and match dynamics. Key Responsibilities. Video-Based Cricket Analytics. Develop computer vision models for player tracking, ball trajectory prediction, and shot classification. Extract real-time insights from video streams, including player positions, footwork analysis, and batting/bowling techniques. Implement pose estimation (OpenPose, MediaPipe, DeepLabCut) to analyze player body movements. Use action recognition models to classify batting strokes, bowling variations, and fielding plays. Deep Learning & Image Processing. Apply CNNs, Transformers, YOLO, Mask R-CNN, and Optical Flow for cricket action recognition. Develop segmentation models to differentiate players, umpires, and key match elements (ball, stumps, pitch zones). Use GANs and super-resolution techniques to enhance low-quality video footage. Build OCR (Optical Character Recognition) systems to extract scoreboards and match statistics from live broadcasts. Real-Time Video Processing & Streaming. Implement real-time video processing pipelines using OpenCV, FFmpeg, and GStreamer. Work with multi-angle TV footage and drone feeds to enhance match analysis. Develop low-latency algorithms for real-time ball speed, swing, and spin detection. Data Collection, Annotation & Model Training. Build automated annotation tools for labeling cricket match videos. Train supervised and unsupervised learning models using cricket datasets. Collaborate with sports analysts to validate and refine model predictions. Model Deployment & Performance Optimization. Deploy computer vision models on edge devices, cloud platforms, and real-time streaming systems. Optimize models for low latency and high accuracy in live cricket broadcasts. Implement A/B testing and continuous monitoring to improve model performance. Camera Calibration & Video Trigonometry. Perform camera calibration for distortion correction and real-world coordinate mapping. Use homography transformation and perspective correction for multi-angle alignment. Apply video trigonometry to calculate player distances, ball speed, angles, and movement trajectories. Work with multi-camera synchronization and stereo vision for depth estimation in cricket analytics. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

We are seeking a 'Computer Vision Engineer' to develop AI-driven video analytics solutions for extracting in-depth cricket data from match footage, live broadcasts, and player tracking systems. This role involves leveraging deep learning, pose estimation, and image processing to analyze player movements, shot selection, bowling mechanics, and match dynamics. Key Responsibilities. Video-Based Cricket Analytics. Develop computer vision models for player tracking, ball trajectory prediction, and shot classification. Extract real-time insights from video streams, including player positions, footwork analysis, and batting/bowling techniques. Implement pose estimation (OpenPose, MediaPipe, DeepLabCut) to analyze player body movements. Use action recognition models to classify batting strokes, bowling variations, and fielding plays. Deep Learning & Image Processing. Apply CNNs, Transformers, YOLO, Mask R-CNN, and Optical Flow for cricket action recognition. Develop segmentation models to differentiate players, umpires, and key match elements (ball, stumps, pitch zones). Use GANs and super-resolution techniques to enhance low-quality video footage. Build OCR (Optical Character Recognition) systems to extract scoreboards and match statistics from live broadcasts. Real-Time Video Processing & Streaming. Implement real-time video processing pipelines using OpenCV, FFmpeg, and GStreamer. Work with multi-angle TV footage and drone feeds to enhance match analysis. Develop low-latency algorithms for real-time ball speed, swing, and spin detection. Data Collection, Annotation & Model Training. Build automated annotation tools for labeling cricket match videos. Train supervised and unsupervised learning models using cricket datasets. Collaborate with sports analysts to validate and refine model predictions. Model Deployment & Performance Optimization. Deploy computer vision models on edge devices, cloud platforms, and real-time streaming systems. Optimize models for low latency and high accuracy in live cricket broadcasts. Implement A/B testing and continuous monitoring to improve model performance. Camera Calibration & Video Trigonometry. Perform camera calibration for distortion correction and real-world coordinate mapping. Use homography transformation and perspective correction for multi-angle alignment. Apply video trigonometry to calculate player distances, ball speed, angles, and movement trajectories. Work with multi-camera synchronization and stereo vision for depth estimation in cricket analytics. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

We are seeking a 'Computer Vision Engineer' to develop AI-driven video analytics solutions for extracting in-depth cricket data from match footage, live broadcasts, and player tracking systems. This role involves leveraging deep learning, pose estimation, and image processing to analyze player movements, shot selection, bowling mechanics, and match dynamics. Key Responsibilities. Video-Based Cricket Analytics. Develop computer vision models for player tracking, ball trajectory prediction, and shot classification. Extract real-time insights from video streams, including player positions, footwork analysis, and batting/bowling techniques. Implement pose estimation (OpenPose, MediaPipe, DeepLabCut) to analyze player body movements. Use action recognition models to classify batting strokes, bowling variations, and fielding plays. Deep Learning & Image Processing. Apply CNNs, Transformers, YOLO, Mask R-CNN, and Optical Flow for cricket action recognition. Develop segmentation models to differentiate players, umpires, and key match elements (ball, stumps, pitch zones). Use GANs and super-resolution techniques to enhance low-quality video footage. Build OCR (Optical Character Recognition) systems to extract scoreboards and match statistics from live broadcasts. Real-Time Video Processing & Streaming. Implement real-time video processing pipelines using OpenCV, FFmpeg, and GStreamer. Work with multi-angle TV footage and drone feeds to enhance match analysis. Develop low-latency algorithms for real-time ball speed, swing, and spin detection. Data Collection, Annotation & Model Training. Build automated annotation tools for labeling cricket match videos. Train supervised and unsupervised learning models using cricket datasets. Collaborate with sports analysts to validate and refine model predictions. Model Deployment & Performance Optimization. Deploy computer vision models on edge devices, cloud platforms, and real-time streaming systems. Optimize models for low latency and high accuracy in live cricket broadcasts. Implement A/B testing and continuous monitoring to improve model performance. Camera Calibration & Video Trigonometry. Perform camera calibration for distortion correction and real-world coordinate mapping. Use homography transformation and perspective correction for multi-angle alignment. Apply video trigonometry to calculate player distances, ball speed, angles, and movement trajectories. Work with multi-camera synchronization and stereo vision for depth estimation in cricket analytics. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

We are seeking a 'Computer Vision Engineer' to develop AI-driven video analytics solutions for extracting in-depth cricket data from match footage, live broadcasts, and player tracking systems. This role involves leveraging deep learning, pose estimation, and image processing to analyze player movements, shot selection, bowling mechanics, and match dynamics. Key Responsibilities. Video-Based Cricket Analytics. Develop computer vision models for player tracking, ball trajectory prediction, and shot classification. Extract real-time insights from video streams, including player positions, footwork analysis, and batting/bowling techniques. Implement pose estimation (OpenPose, MediaPipe, DeepLabCut) to analyze player body movements. Use action recognition models to classify batting strokes, bowling variations, and fielding plays. Deep Learning & Image Processing. Apply CNNs, Transformers, YOLO, Mask R-CNN, and Optical Flow for cricket action recognition. Develop segmentation models to differentiate players, umpires, and key match elements (ball, stumps, pitch zones). Use GANs and super-resolution techniques to enhance low-quality video footage. Build OCR (Optical Character Recognition) systems to extract scoreboards and match statistics from live broadcasts. Real-Time Video Processing & Streaming. Implement real-time video processing pipelines using OpenCV, FFmpeg, and GStreamer. Work with multi-angle TV footage and drone feeds to enhance match analysis. Develop low-latency algorithms for real-time ball speed, swing, and spin detection. Data Collection, Annotation & Model Training. Build automated annotation tools for labeling cricket match videos. Train supervised and unsupervised learning models using cricket datasets. Collaborate with sports analysts to validate and refine model predictions. Model Deployment & Performance Optimization. Deploy computer vision models on edge devices, cloud platforms, and real-time streaming systems. Optimize models for low latency and high accuracy in live cricket broadcasts. Implement A/B testing and continuous monitoring to improve model performance. Camera Calibration & Video Trigonometry. Perform camera calibration for distortion correction and real-world coordinate mapping. Use homography transformation and perspective correction for multi-angle alignment. Apply video trigonometry to calculate player distances, ball speed, angles, and movement trajectories. Work with multi-camera synchronization and stereo vision for depth estimation in cricket analytics. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

Location - Borivali Job Title : Computer Vision Engineer (Embedded Device) Job Summary : We are looking for a passionate developer to specialize in Edge AI and Video Analytics, leveraging your strong C/C++ expertise to implement and optimize sophisticated computer vision (CV) algorithms directly on embedded platforms. Your work will enable on-device intelligence for critical features. This role focuses on optimizing AI models and CV pipelines for resource-constrained environments, delivering high-performance, real-time video analytics capabilities at the edge. Key Responsibilities : Design, develop, and optimize Edge AI/CV algorithms in C/C++ for embedded camera hardware. Implement core Video Analytics capabilities and intelligent features. Handle real-time video data, codecs, and RTSP streaming protocols. Optimize deep learning models (TensorRT, OpenVINO) for efficient embedded inference. Integrate/optimize pre-trained AI models (TensorFlow Lite, ONNX Runtime) using quantization, pruning, accelerators. Write high-performance, memory-efficient C/C++ code for camera processing units (DSPs/NPUs/GPUs). Work with camera hardware interfaces, low-level drivers, ISPs for optimal video processing. Required Qualification and Expertise : Bachelor's or Master's degree in Computer Science or Electronic Engineer or related field. 2+ years of professional experience in Edge AI, Video Analytics or Computer Vision development for embedded hardware platforms. Demonstrated experience developing API for hardware-integrated/embedded systems Demonstrated expertise in designing and implementing efficient algorithms for real-time video processing and analytics on resource-constrained devices. Excellent analytical and debugging skills to troubleshoot complex system-level and algorithmic issues Solid understanding of real-time operating systems (RTOS) or Embedded Linux environments and their implications for application development. 7. Proven ability to profile, debug, and optimize complex C/C++ applications for performance, memory, and power efficiency on target hardware. Must-to-have Skill Set : Programming & Optimization : Exceptional C/C++ proficiency for high-performance, resource-constrained environments, memory management, low-level optimization, efficient data structures. Edge AI & Computer Vision : Strong grasp of core CV algorithms (object detection, tracking, image processing), solid understanding of ML/DL concepts, experience optimizing/deploying AI models for edge inference. Embedded Platform Experience : Proven experience developing software for resource-constrained embedded hardware, familiarity with processor architectures (ARM Cortex, AI accelerators) Debugging & Tools : Proficiency with embedded debugging (GDB, JTAG/SWD) and performance profiling tools and embedded build systems (Makefiles, CMake). Problem-Solving & Collaboration : Excellent analytical/debugging skills, strong communication/collaboration skills in cross-functional teams. Good-to-have Skill Set : Experience with specific camera sensor interfaces or protocols. Knowledge of video analytics standards or industry benchmarks. Experience with specific hardware development kits (SDKs) or toolchains from chip vendors. Understanding of cloud platforms for model training or data management. Prior experience with security best practices for embedded devices or secure boot processes.

Job Title: TM-Data Scientist-Audit Innovation & Digital Transformation PURPOSE OF THE JOB To work as a junior data scientist and contribute to development of AI ML, NLP, and Gen AI solutions. Work on diverse projects involving data analysis, predictive modeling, AI/ML and Gen AI implementation while collaborating with cross-functional teams to drive data-driven analytics and decision making. KEY RESPONSIBILITIES Design and deploy machine learning pipelines for production environments Work with NLP techniques for text analysis, sentiment analysis Implement Gen AI solutions to automate content creation and data augmentation Contribute to Video Analytics projects using Computer Vision and Multi-modal LLMs Create clear, compelling data visualizations and dashboards using tools like Power BI or Python Document methodologies, findings, and model performance for reproducibility Present findings and recommendations to both technical and non-technical stakeholders Collaborate with engineers and business analysts to translate business requirements into analytical solutions Stay current with latest developments in AI/ML technologies and best practices Key Skills 1-2 years of hands-on experience in developing data science, AIML, NLP, Computer Vision, Gen AI solutions Proficiency in Python for data analysis and machine learning Experience with ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar frameworks Knowledge of NLP techniques and libraries (NLTK, spaCy, Hugging Face Transformers) Familiarity with generative AI models and their applications SQL proficiency for database querying and data manipulation Experience with data visualization tools and techniques Understanding of statistical concepts Educational Qualifications Bachelors or Masters degree in Computer Science, Engineering, or a related field. Certifications in areas such as Data Engineering, Cloud Skills, AI/ML, Gen AI will be an added advantage. Experience Required 1-2 years of experience in Data Science, AI ML, Gen AI. Job Location- Kanjurmarg, Mumbai.