710 Opencv Jobs

Job Description - We are seeking a Machine Learning Engineer to assist in developing and implementing object detection and AI-based predictions. You will have the opportunity to work on real-world applications and contribute to the development of novel algorithms. As a ML engineer, you’ll collaborate with our team and works various applied AI/ML tasks. Key Responsibilities - Assist in training and fine-tuning ML models for real-time AI-based tasks. Work with large datasets to prepare, annotate, preprocess, and augment data for training purposes. Implement and test model architectures to improve accuracy, speed, and performance. Help analyze and optimize model performance based on results and metrics. Document research and findings, contributing to team knowledge and project reports. Participate in code reviews and contribute to software development best practices. Stay updated with the latest trends and research in computer vision and applied ML. Qualifications - Bachelor's or master's degree program in Computer Science, Electrical Engineering, Data Science, or a related field. Solid understanding of AI/ML concepts, data cleaning, synthetic data generation and other relevant concepts. Hands-on experience with MLOps. Hands-on experience with YOLO or similar deep learning object detection frameworks (e.g., Faster R-CNN, SSD). Proficiency in programming languages such as Python Experience with OpenCV and Pytorch is a must. Experience with Statistical Analysis and modeling is a plus. Experience with CUDA and GPU acceleration is a plus. Experience with ROS and C++ is also a huge plus. Strong problem-solving skills, attention to detail, and a collaborative mindset. Preferred Skills - Knowledge of data cleaning techniques and data preprocessing methods. Familiarity with version control systems like Git . Experience in deploying models into production environments (optional). Exposure to ROS and OpenCV in C++.

We are looking for a skilled Technician to join our team at Vijaya Diagnostic Centre, responsible for operating and maintaining CT scan equipment. The ideal candidate will have a strong background in healthcare technology and be able to work efficiently in a fast-paced environment. Roles and Responsibility Operate and maintain CT scan equipment for optimal performance. Prepare patients for procedures and ensure their safety during scans. Collaborate with radiologists to interpret scan results and provide accurate diagnoses. Maintain patient records and reports. Stay updated on the latest advancements in medical imaging technology. Participate in quality control measures to improve patient care. Job Requirements Minimum 2 years of experience in a similar role, preferably in a diagnostic centre or hospital setting. Strong knowledge of medical imaging principles and practices. Ability to work effectively in a team environment. Excellent communication skills for interacting with patients and staff. Familiarity with CDC regulations and standards for medical imaging facilities. Any graduate degree from a recognized institution.

Advanced Terrain-Aware Perception Implement material-specific semantic layers (soil, sand, gravel, bed-rock, tall grass, shallow water, snow, ice) that update every frame and age-out when confidence degrades. Derive surface normal, roughness, cohesion and expected sink-age from texture statistics + monocular depth cues. Compute instantaneous grade (), side-slope, slip angle and flag combinations that exceed rollover or traction thresholds. Detects ruts, berms, holes and negative obstacles by fusing long-baseline disparity with shading gradients and shadow parallax. Class-specific hazard masks (e.g. sage-brush vs. tumbleweed vs. basalt outcrop) that feed directly into the traversability cost map. WheelTerrain Interaction Estimation Fuse visual shear-flow with wheel tachometry to produce online slip-ratio and effective (friction coefficient) per wheel. Predict sink-in depth (sand / snow) from colour histogram shifts and wheel torque spikes. Raise soft faults when wheelground contact probability less than0.3 (airborne cresting, pothole drop-in, obstacle hang-up). Real-Time Route Feasibility & Micro-Planner Hooks Transform pixel-level terrain classes into steer-able corridors and hazard polygons with less than 25 ms latency. Prioritise dynamic re-weighting of cost metrics (e.g. favour firmer gravel over muddy shortcut when rainfall detected). Extreme Environment Hardening Design visibility-fallback perception: Short-range active illuminator gating for dust / snow glare. Polarised camera processing for water-surface discrimination. Thermal fusion when visible light SNR less than 6 dB. Implement turbulence-robust line detection to keep horizon and vanishing-point estimates stable during heat shimmer. Self-Consistency Audits Every 100 ms run terrain confusion matrixdrop or re-sample tiles whose posterior variance greater than 2_thresh. Maintain loop-closure integrity score for vision odometry; trigger re-initialisation if drift greater than 2 % of path length within 30 s. Additional Required Expertise Area Advanced Expectation Photometric Stereo Reconstruct micro-surface undulations for traction estimation without LIDAR. Rolling/Center-of-Mas s Stability Predict rollover using tilt-vector + speed + suspension travel in real time. Dust & Snow Morphology Implement particle-size adaptive temporal filtering to separate airborne particulates from solid obstacles. Realtime SIMD / DSP Hand-vectorise convolutional kernels for ARM NEON or x86 AVX-512 where no GPU is present. Failure Injection Design unit tests that inject random camera blackout, saturated highlights, frame drops, inertial spikesand verify graceful degradation. Bonus Capabilities Built perception for Dakar-class rally bots, planetary rovers or Online Desert Challenge vehicles. Published work on vision-based slip prediction or terrain type transfer learning in CVPR, ICRA or RA-LAT. Experience creating synthetic terrain datasets with physically-based rendering for rare surfaces (lava crust, talc powder dunes). Knowledge of acoustic ground contact sensing and correlating it with visual classification for redundancy.

We are hiring a contract-based Computer Vision Engineer in Hyderabad, India to lead deep learning model development using PyTorch. The ideal candidate will design and deploy scalable computer vision pipelines focused on image and video analytics. This is a 6-month engagement to support real-time model deployment, optimization, and automation across cloud and edge platforms. Key Responsibilities 1. Deep Learning Model Development • Build and train state-of-the-art CV models using PyTorch for classification, detection (YOLO, Faster R-CNN), and segmentation (UNet, DeepLab) • Optimize data pipelines and preprocessing strategies for high-resolution image and video feeds • Fine-tune pre-trained models and manage custom model development based on project needs 2. Model Optimization & Deployment • Optimize models using ONNX, quantization, or TensorRT for cloud and edge deployment • Deploy real-time inference endpoints using containers (Docker/Kubernetes) and cloud services (Azure, AWS, GCP) • Maintain experiment tracking, model versioning, and deployment automation workflows 3. Data Engineering & Integration • Work with data engineers to build scalable data pipelines for ingestion and preprocessing • Integrate CV models into production systems and IoT environments (e.g., Jetson, Azure IoT) 4. Governance & Performance • Ensure AI workflows are secure, auditable, and production-ready • Apply model compression and tuning for performance at scale 5. Cross-functional Collaboration • Collaborate with DevOps, product teams, and ML engineers for seamless delivery • Document architectures and ensure knowledge transfer at project milestones Required Qualifications • Bachelor’s or Master’s in Computer Science, AI/ML, or a related technical field • 5+ years of experience in AI/ML with at least 2 years in deploying PyTorch-based CV models • Expertise in PyTorch, OpenCV, Python, Git, and deep learning model deployment • Familiarity with cloud platforms (Azure preferred), Docker/Kubernetes • Hands-on experience with model lifecycle tools (MLflow, W&B, DVC, etc.) Preferred Qualifications • Experience with edge AI platforms (Jetson, Coral, Azure Percept) • Knowledge of ONNX, TensorRT, or other optimization tools • Exposure to enterprise-grade security practices and MLOps workflows Contract Details • Duration: 6 months • Location: Hyderabad (Hybrid preferred; remote may be considered for exceptional candidates) • Compensation: Competitive, based on experience and expertise How to Apply Send your resume, portfolio (if available), and GitHub/LinkedIn profiles to: Info@primeverse.in Subject: Computer Vision Engineer – Hyderabad

Experienced developer (Min 5 years of work ex in C++ , QT , VTK , CT/MRI/Xray , Boost , Design Patterns) - Image Processing , Visualization , Algorithms , Signal Processing , UX/UI Development - Worked in the area of Biomedical Image Signal Processing , Clinical Application development , - Experience with one or more of the following tools: VTK , OpenGL , ITK , CGal , OpenInventor , OpenCV , OpenMesh , ImageJ , DICOM - Proven application development record in image processing , visualization or related areas. - Desire to learn biomedical image processing , ready to work with cross - functional teams. - Worked with Clinicians for development of software applications Experience 5 to 10 years

We are looking for a skilled Technician to join our team at Vijaya Diagnostic Centre, responsible for operating and maintaining CT scan equipment. The ideal candidate will have 2-7 years of experience in the field. Roles and Responsibility Operate and maintain CT scan equipment for optimal performance. Prepare patients for procedures and ensure their safety during scans. Collaborate with radiologists to interpret scan results and provide accurate diagnoses. Maintain patient records and reports. Stay updated on new technologies and techniques in CT scanning. Participate in quality control measures to improve patient care. Job Requirements Minimum 2 years of experience in operating CT scan equipment. 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 healthcare software and technology is an asset. Ability to maintain confidentiality and handle sensitive information.

What will your role look like Design AI solutions using both traditional ML and GenAI approaches based on problem needs Lead end-to-end implementation of ML projects including data preparation, model development, deployment, and monitoring Build GenAI-based applications using LLMs, embeddings, and multi-step reasoning frameworks (e.g., LangChain, LangGraph) Conduct research and proof-of-concepts to evaluate emerging GenAI models and techniques Guide and mentor junior engineers; review designs, architecture, and code quality Develop fine-tuned and instruction-tuned LLMs using platforms like Hugging Face, OpenAI, Cohere, etc. Build agentic AI systems involving tool use, memory, and reasoning frameworks Ensure AI models are robust, explainable, and cost-efficient in production Collaborate with stakeholders to understand business goals and translate them into technical solutions Communicate complex AI concepts to both technical and non-technical audiences. This is a strategic role where you will play a key part in shaping our AI offerings, guiding teams, and solving complex problems using both modern and established AI techniques. Why you will love this role Besides a competitive package, an open workspace full of smart and pragmatic team members, with ever-growing opportunities for professional and personal growth Be a part of a learning culture where teamwork and collaboration are encouraged, diversity is valued and excellence, compassion, openness and ownership is rewarded. We would like you to bring along Experienced AI/ML Engineer with a strong background in both traditional Machine Learning and Generative AI. Experience in classical AI/ML and 23 years in GenAI, total 10 years of experience with the ability to design, research, and build scalable AI solutions across domains. 67 years in traditional ML/DL, including regression, classification, clustering, NLP, time series forecasting, and deep learning techniques such as feedforward networks, CNNs, RNNs, LSTMs, GRUs, and attention-based models for structured, unstructured, and sequential data 23 years in Generative AI (LLMs, embeddings, RAG, fine-tuning, prompt engineering) Experience with Python, scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers Understanding of ML lifecycle: data wrangling, feature engineering, model training, evaluation, and deployment Deep experience with LLMs such as GPT, LLaMA, Mistral, Claude, or Gemini and tools like LangChain, LangGraph, and LLamaIndex Experience building agentic AI solutions (e.g., AutoGPT, ReAct, CrewAI, BabyAGI) Proficiency with vector databases (FAISS, Pinecone, Weaviate, Chroma) and embedding models (OpenAI, Cohere, BGE, etc.) Excellent communication and presentation skills Strong research mindset with the ability to quickly learn and adapt to new GenAI technologies Ability to assess trade-offs between classic and generative AI techniques and recommend the best-fit approach

We are seeking a highly motivated Automation and Machine Vision Engineer to join our Industrial AI and Automation team. The ideal candidate will have hands-on experience in developing and deploying computer vision solutions for manufacturing, quality control, and robotic inspection. You will be responsible for designing AI-based vision systems using cameras, deep learning models, and edge computing platforms. - Develop and deploy machine vision applications using industrial cameras (e.g., Basler, FLIR). - Design AI-based inspection systems for detecting defects such as scratches, dents, mislabels, and missing components. - Build and train deep learning models using CNN, YOLO, RCNN for object detection, OCR, classification, and segmentation. - Integrate vision systems into automation workflows, PLCs, or robotic arms using standard protocols. - Work with image acquisition pipelines, camera calibration, lighting setup, and industrial communication standards. - Collaborate with software, automation, and mechanical teams to build end-to-end inspection systems. - Optimize model performance on edge devices (e.g., NVIDIA Jetson, Raspberry Pi, etc.). - Perform on-site testing, calibration, and commissioning at industrial client locations. Required Skills: - B.E./B.Tech in Instrumentation, Electronics, Mechatronics, Computer Science, or related field. - 2-5 years of relevant experience in machine vision, automation, or AI-based quality control systems. - Strong problem-solving skills and ability to work independently in R&D or client-facing roles. - Strong knowledge of OpenCV, Python, TensorFlow/PyTorch, and image processing. - Experience with YOLO, Faster-RCNN, SSD or other real-time object detection models. - Hands-on with industrial camera systems (Basler, Hikvision, Cognex, etc.). - Familiarity with edge AI platforms like NVIDIA Jetson Nano/Xavier. - Understanding industrial automation systems, SCADA/PLC integration. - Experience with machine vision software (e.g., Halcon, LabVIEW Vision, MVTec) is preferred. - Familiarity with SCADA, Historian systems, or MES integration. - Exposure to virtualization, server-client architecture, or redundant systems. - Knowledge of video analytics, CCTV integration, and industrial automation security.

Key Responsibilities Design, develop, and deploy deep learning models for image classification, object detection, segmentation, pose estimation, OCR, and related tasks. Work with large-scale datasets (images, videos, annotations), including data cleaning, augmentation, and preprocessing pipelines. Evaluate and fine-tune models using metrics like IoU, mAP, F1 score, and accuracy. Conduct research and experimentation with state-of-the-art architectures such as CNNs, Transformers (ViT, DETR), GANs, and self-supervised learning. Collaborate with cross-functional teams to integrate models into production pipelines (cloud/on-prem). Stay current with the latest advancements in computer vision and contribute to the company’s innovation roadmap. Develop tools for model explainability and performance monitoring in production environments. Required Qualifications B.Tech, Master’s or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, or a related field. 3+ years of experience in developing and deploying deep learning models for computer vision tasks. Strong proficiency in Python and deep learning frameworks like PyTorch and TensorFlow. Hands-on experience with libraries such as OpenCV, Albumentations, MMDetection, Detectron2, or YOLOv5/8. Experience training and optimizing models on GPU clusters using distributed training (e.g., PyTorch Lightning, DDP). Familiarity with model deployment (ONNX, TensorRT, TorchScript) and serving (FastAPI, Flask, Triton Inference Server). Experience with annotation tools (e.g., CVAT, Labelbox) and data versioning tools (e.g., DVC, Weights & Biases). Strong understanding of computer vision metrics and evaluation protocols. Strong skillset in mathematical algorithmics and explainability of deep learning models and frameworks. Preferred Skills Knowledge of 3D vision, SLAM, multi-view geometry and YOLO. Experience working with video datasets and spatio-temporal models. Background in self-supervised or semi-supervised learning. Familiarity with MLOps pipelines and tools like MLflow, Kubeflow, or SageMaker Experience in a domain-specific application like medical imaging, aerial imagery, or autonomous vehicles. Why Join Us Work on impactful AI products at the cutting edge of computer vision. Collaborate with a world-class team of researchers and engineers. Access to state-of-the-art GPU infrastructure and training platforms. Flexible work environment with competitive compensation and benefits.

"Strong working experience in python based Django,Flask framework. Experience in developing microservices based design and architecture. Strong programming knowledge in Javascript,HTML5, Python, Restful API, gRPC API Programming experience & object-oriented concepts in PYTHON. Knowledge of python libraries like Numpy, Pandas, Ppen3D, OpenCV, Matplotlib. Knowledge of MySQL/Postgres/MSSQL database. Knowledge of 3D geometry. Knowledge of SSO/OpenID Connect/OAuth authentication protocols. Working experience with version control systems like GitHub/BitBucket/GitLab. Familiarity with continuous integration and continuous deployment (CI/CD) pipelines. Basic knowledge of image processing. Knowledge of data-analysis, data science. Strong communication skills. Very good in analytical & logical thinking on different perspectives. Ability to handle challenges & resolve any blockers. Good team player & proactive in giving new ideas/suggestions/solutions & constructive analysis of team member"s ideas. Interested to working in a fast-paced, Agile software development team Good to Have: Knowledge of other programming language like C, C++. Knowledge of basics of machine-learning. Exposure to NoSQL Databases. Knowledge of GCP/AWS/Azure cloud" Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.

Increasing digitalization and flexibility of production processes presents outstanding potential. In Digital Industries, we enable our customers to unlock their full potential and drive digital transformation with a unique portfolio of automation and digitalization technologies. From hardware to software to services, weve got quite a lot to offer. How about you We blur the boundaries between industry domains by integrating the virtual and physical, hardware and software, design and manufacturing worlds. With the rapid pace of innovation, digitalization is no longer tomorrows idea. We take what the future promises tomorrow and make it real for our customers today. Join us - where your career meets tomorrow. Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more efficiently. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. Questa Simulation Product It is a core R&D team working on multiple verticals of Simulation. A very energetic and enthusiastic team of motivated individuals. This role is based in Noida. But youll also get to visit other locations in India and globe, so youll need to go where this job takes you. In return, youll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. Responsibilities: We are looking for a highly motivated software engineer to work in the QuestaSim R&D team of the Siemens EDA Development responsibilities will include core algorithmic advances and software design/architecture. You will collaborate with a senior group of software engineers contributing to final production level quality of new components and algorithms and to create new engines and support existent code. Self-motivation, self-discipline and the ability to set personal goals and work consistently towards them in a dynamic environment will go far towards chipping in to your success. We Are Not Looking for Superheroes, Just Super Minds! Weve got quite a lot to offer. How about you Required Experience: We seek a graduate with at least 5+ years of relevant working experience with B.Tech or M.Tech in CSE/EE/ECE from a reputed engineering college. Proficiency of C/C++, algorithm and data structures. Compiler Concepts and Optimizations. Experience with UNIX and / or LINUX platforms is vital. Basic Digital Electronics Concepts We value your knowledge of Verilog, System Verilog, VHDL Experience in parallel algorithms, job distribution. Understanding of ML/AI algorithms and their implementation in data-driven tasks Exposure to Simulation or Formal based verification methodologies would be a plus! The person should be self-motivated and can work independently. Should be able to guide others, towards project completion. Good problem solving and analytical skills A collection of over 377,000 minds building the future, one day at a time in over 200 countries. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! #LI-EDA #LI-HYBRID #DVT

We are looking for a highly motivated and enthusiastic individual to join our team as a Trainee in X-Ray at Vijaya Diagnostic Centre. The ideal candidate will have a strong foundation in healthcare and be eager to learn and grow with our organization. Roles and Responsibility Assist the senior staff in performing X-ray procedures with precision and accuracy. Maintain patient records and ensure proper documentation of all procedures. Collaborate with other departments to provide excellent patient care. Participate in ongoing education and training to enhance skills and knowledge. Contribute to the development of new protocols and procedures to improve patient outcomes. Maintain confidentiality and adhere to hospital policies and procedures. Job Requirements Strong understanding of medical imaging principles and practices. Ability to work effectively in a fast-paced environment with attention to detail. Excellent communication and interpersonal skills. Ability to work collaboratively as part of a team. Strong analytical and problem-solving skills. Familiarity with X-ray equipment and techniques is an asset. About Company Vijaya Diagnostic Centre is a leading healthcare provider committed to delivering high-quality patient care and services. We are dedicated to staying up-to-date with the latest medical technologies and advancements, providing opportunities for professional growth and development to our staff. The selected candidate will have the opportunity to work under the guidance of experienced professionals and contribute to the growth and success of our organization.

Looking for challenging roleIf you really want to make a difference - make it with us Can we energize society and fight climate change at the same time At Siemens Energy, we can. Our technology is key, but our people make the difference. Brilliant minds innovate. They connect, create, and keep us on track towards changing the worlds energy systems. Their spirit fuels our mission. We are seeking a highly skilled and driven Senior AI Engineer to join our team as a founding member, developing the critical data and AI infrastructure for training foundation models for power grid applications. You will be instrumental in building and optimizing the end-to-end systems, data pipelines, and training processes that will power our AI research. Working closely with research scientists, you will translate cutting-edge research into robust, scalable, and efficient implementations, enabling the rapid development and deployment of transformational AI solutions. This role requires deep hands-on expertise in distributed training, data engineering, MLOps, a proven track record of building scalable AI infrastructure. Your new role- challenging and future- oriented Design, build, and rigorously optimize everything necessary for large-scale training, fine-tuning and/or inference with different model architectures. Includes the complete stack from dataloading to distributed training to inference; to maximize the MFU (Model Flop Utilization) on the compute cluster. Collaborate closely and proactively with research scientists, translating research models and algorithms into high-performance, production-ready code and infrastructure. Ability to implement, integrate & test latest advancements from research publications or open-source code. Relentlessly profile and resolve training performance bottlenecks, optimizing every layer of the training stack from data loading to model inference for speed and efficiency. Contribute to technology evaluations and selection of hardware, software, and cloud services that will define our AI infrastructure platform. Experience with MLOps frameworks (MLFlow, WnB, etc) to implement best practices across the model lifecycle- development, training, validation, and monitoring- ensuring reproducibility, reliability, and continuous improvement. Create thorough documentation for infrastructure, data pipelines, and training procedures, ensuring maintainability and knowledge transfer within the growing AI lab. Stay at the forefront of advancements in large-scale training strategies and data engineering and proactively driving improvements and innovation in our workflows and infrastructure. High-agency individual demonstrating initiative, problem-solving, and a commitment to delivering robust and scalable solutions for rapid prototyping and turnaround. We dont need superheroes, just super minds Bachelor's or masters degree in computer science, Engineering, or a related technical field. 5+ years of hands-on experience in a role specifically building and optimizing infrastructure for large-scale machine learning systems Deep practical expertise with AI frameworks (PyTorch, Jax, Pytorch Lightning, etc). Hands-on experience with large-scale multi-node GPU training, and other optimization strategies for developing large foundation models, across various model architectures. Ability to scale solutions involving large datasets and complex models on distributed compute infrastructure. Excellent problem-solving, debugging, and performance optimization skills, with a data-driven approach to identifying and resolving technical challenges. Strong communication and teamwork skills, with a collaborative approach to working with research scientists and other engineers. Experience with MLOps best practices for model tracking, evaluation and deployment. Desired skills Public GitHub profile demonstrating a track record of open-source contributions to relevant projects in data engineering or deep learning infrastructure is a BIG PLUS. Experience with performance monitoring and profiling tools for distributed training and data pipelines. Experience writing CUDA/Triton/CUTLASS kernels.

Hello Visionary! We empower our people to stay resilient and relevant in a constantly changing world. Were looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like youThen it seems like youd make a great addition to our vibrant team. Siemens founded the new business unit Siemens Foundational Technologies (formerly known as Siemens IoT Services) on April 1, 2019 with its headquarter in Munich, Germany. It has been crafted to unlock the digital future of its clients by offering end-to-end support on their outstanding digitalization journey. Siemens Foundational Technologies is a strategic advisor and a trusted implementation partner in digital transformation and industrial IoT with a global network of more than 8000 employees in 10 countries and 21 offices. Highly skilled and experienced specialists offer services which range from consulting to craft & prototyping to solution & implementation and operation- everything out of one hand. We are looking for a Lead Software Engineer - AI/ML Engineer Youll make a difference by: Siemens is seeking a visionary and technically strong Lead AI/ML Engineer to spearhead the development of intelligent systems that power the future of sustainable and connected transportation. This role will lead the design and deployment of AI/ML solutions across domains such as efficiency improvements in software development process, predictive maintenance, traffic analytics, computer vision for rail safety, and intelligent automation in rolling stock and rail infrastructure. Key Responsibilities Lead the end-to-end lifecycle of AI/ML projects"”from data acquisition and model development to deployment and monitoring"”within the context of mobility systems. Architect scalable ML pipelines that integrate with Siemens Mobility platforms and other edge/cloud-based systems. Collaborate with multi-functional teams including domain experts, software architects, and system engineers to translate mobility use cases into AI-driven solutions. Mentor junior engineers and data scientists, and foster a culture of innovation, quality, and continuous improvement. Evaluate and integrate innovative research in AI/ML, including generative AI, computer vision, and time-series forecasting, into real-world applications. Ensure compliance with Siemens AI ethics, cybersecurity, and data governance standards. Required Qualifications Bachelor's or Masters or PhD in Computer Science, Machine Learning, Data Science, or a related field. 7+ years of experience in AI/ML engineering, with at least 2 years in a technical leadership role. Strong programming skills in Python and experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Proven experience deploying ML models in production, preferably in industrial or mobility environments. Familiarity with MLOps tools (e.g., MLflow, Kubeflow) and cloud platforms (Azure, AWS, or GCP). Solid understanding of data engineering, model versioning, and CI/CD for ML. Preferred Qualifications Experience in transportation, automotive, or industrial automation domains. Knowledge of edge AI deployment, sensor fusion, or real-time analytics. Contributions to open-source AI/ML projects or published research. What We Offer Opportunity to shape the future of mobility through AI innovation. Access to Siemens global network of experts, labs, and digital platforms, flexible work arrangements, and continuous learning opportunities. A mission-driven environment focused on sustainability, safety, and digital transformation. Desired Skills: 9+ years of experience is required. Great Communication skills. Analytical and problem-solving skills Join us and be yourself! Make your mark in our exciting world at Siemens. This role is based in Pune and is an Individual contributor role. You might be required to visit other locations within India and outside. In return, you'll get the chance to work with teams impacting - and the shape of things to come. Find out more about Siemens careers at: & more about mobility at https://new.siemens.com/global/en/products/mobility.html

AI/ML/CV engineer with expertise in intelligent system design, deep learning, and sensor integration. Proficient in Python, Tensor Flow, PyTorch; skilled in hardware interfacing, cloud/edge deployment, and optimization.

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 3-4 years of experience in the field. Roles and Responsibility Operate and maintain MRI equipment for optimal performance. Prepare patients for procedures and ensure their safety during scans. Collaborate with radiologists to interpret scan results and provide accurate diagnoses. Maintain patient records and reports. Stay updated with new technologies and techniques in MRI imaging. Job Requirements Minimum 3-4 years of experience as an MRI technician or related field. Strong knowledge of MRI principles and practices. Ability to work effectively in a fast-paced environment. Excellent communication skills for interacting with patients and staff. Familiarity with medical imaging software and technology. Ability to maintain confidentiality and handle sensitive information.

We are looking for a skilled Technician to join our team at Vijaya Diagnostic Centre, responsible for operating and maintaining CT scan equipment. The ideal candidate will have 2 to 7 years of experience in the field. Roles and Responsibility Operate and maintain CT scan equipment for optimal performance. Prepare patients for procedures and ensure their safety during scans. Collaborate with radiologists to interpret scan results and provide accurate diagnoses. Maintain patient records and reports. Stay updated on new technologies and techniques in CT scanning. Job Requirements Minimum 2 years of experience in operating CT scan equipment. Strong knowledge of medical imaging principles and practices. Ability to work effectively in a fast-paced environment. Excellent communication and interpersonal skills. Ability to maintain confidentiality and handle sensitive information. Familiarity with healthcare industry standards and regulations.

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 0 to 5 years of experience in the healthcare industry. Roles and Responsibility Assist in planning and implementing imaging services, including patient preparation and explaining procedures. Operate various medical imaging equipment, such as X-ray machines and CT scanners, under the direction of senior staff. Maintain accurate records of patient information, imaging results, and treatment plans. Collaborate with other healthcare professionals to provide comprehensive care to patients. Stay updated on the latest developments in medical imaging technology and techniques. Participate in quality improvement initiatives to enhance patient care and outcomes. Job Requirements Strong understanding of medical imaging principles and practices. Ability to work effectively in a fast-paced environment with attention to detail. Excellent communication and interpersonal skills. Ability to maintain confidentiality and handle sensitive information. Basic knowledge of medical terminology and anatomy. Familiarity with hospital policies and procedures related to patient care and safety.

On-site job: The working locations are concentrated in the contract manufacturers in Chennai and Bangalore, India Requirement: Familiar with the fatp section environment and workflow of the contract manufacturer, with over 3 years of relevant working experience. Proficient in VisionWare, VisionPro, halcon, and opencv (at least one type). Be capable of independently assessing the feasibility of visual solutions and completing the visual program framework. Good communication skills and teamwork spirit, capable of independently solving problems and taking on projects Responsibility: Be able to adapt to business trips and flexible working hours Job Description: Be responsible for the feasibility assessment, implementation and delivery of the project. Personnel management of the project technical team

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. : 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).

CREQ224603

Research Engineer position at IBM India Research Lab is a challenging, dynamic and highly innovative role. Some of our current areas of work where we are actively looking for top talent are: Optimized runtime stacks for foundation model workloads including fine-tuning, inference serving and large-scale data engineering, with a focus on multi-stage tuning including reinforcement learning, inference-time compute, and data preparation needs for complex AI systems. Optimizing models to run on multiple accelerators including IBM’s AIU accelerator leveraging compiler optimizations, specialized kernels, libraries and tools. Developing use cases that effectively leverage the infrastructure and models to deliver value Pre-training language and multi-modal foundation models working with large scale distributed training procedures, model alignment, creating specialized pipelines for various tasks including effective LLM-generated data pipelines, creating frameworks for collecting human data and deploying models in user-centric platforms. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise You should have one or more of the following: A master’s degree in computer science, AI or related fields from a top institution 0-8 years of experience working with modern ML techniques including but not limited to model architectures, data processing, fine-tuning techniques, reinforcement learning, distributed training, inference optimizations Experience with big data platforms like Ray and Spark Experience working with Pytorch FSDP and HuggingFace libraries Programming experience in one of the followingPython, web development technologies Growth mindset and a pragmatic attitude Preferred technical and professional experience Peer-reviewed research at top machine learning or systems conferences Experience working with pytorch.compile, CUDA, triton kernels, GPU scheduling, memory management Experience working with open-source communities

Research Scientist position at IBM India Research Lab is a challenging, dynamic and highly innovative role, where you will be responsible for coming up with new innovative ideas, developing solutions working as a team, building prototypes, publishing research papers and demonstrating the value of your ideas in an enterprise setting. Some of our current areas of work where we are actively looking for top researchers are: Optimized runtime stacks for foundation model workloads including fine-tuning, inference serving and large-scale data engineering, with a focus on multi-stage tuning including reinforcement learning, inference-time compute, and data preparation needs for complex AI systems. Optimizing models to run on multiple accelerators including IBM’s AIU accelerator leveraging compiler optimizations, specialized kernels, libraries and tools. Innovative use cases that effectively leverage the infrastructure and models to deliver value Pre-training language and multi-modal foundation models working with large scale distributed training procedures, model alignment, and creating specialized pipelines for various tasks including effective LLM-generated data pipelines. Required education Bachelor's Degree Required technical and professional expertise You should have one or more of the following: A master’s degree in computer science, AI or related fields from a top institution 0-8 years of experience working with modern ML techniques including but not limited to model architectures, data processing, fine-tuning techniques, reinforcement learning, distributed training, inference optimizations Experience with big data platforms like Ray and Spark Experience working with Pytorch FSDP and HuggingFace libraries Programming experience in one of the followingPython, web development technologies Growth mindset and a pragmatic attitude Preferred technical and professional experience Peer-reviewed research at top machine learning or systems conferences Experience working with pytorch.compile, CUDA, triton kernels, GPU scheduling, memory management Experience working with open-source communities

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Computer Vision Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Accenture Center for Advance AI (CAAI) focuses on building scalable enterprise AI and Gen AI based solutions for various industries such as - Financial Services, Utilities, Energy, Manufacturing, Retail, Communications, Heath & Public Services, and Products. The Applied AI Research and Innovation Group, within CAAI, is focusing on foundational and applied research in the various fields of AI Gen AI, Model building/training/finetuning, Agentic AI, etc. to develops offerings which can be utilized for complex and challenging client delivery projects. We are hiring an AI Research and Innovation Sr. Principal to focus on model refinement, including fine-tuning, alignment, safety, and evaluation of AI models. This role is critical for ensuring our models are robust, responsible, and aligned with human values. Roles & Responsibilities:- Lead efforts in supervised fine-tuning, reinforcement learning from human feedback (RLHF), and instruction tuning. Innovate on techniques for continual learning and domain adaptation.-- Understand LLM fine tuning techniques such as PEFT, LoRA, QLoRA etc-- Develop evaluation frameworks for model safety, bias, and performance.- Collaborate with multiple stakeholders like policy and Responsible AI teams to ensure responsible AI practices, consulting team to provide technical depth in AI, studio team to position our findings for client pitches, business team to arrive at a research roadmap, academia and industry partners for pushing the research boundaries.- Publish and present novel and innovative research findings in top AI venues.- Develop an internal AI talent and foster a culture of continuous learning across practice and organization. Mentor a team of researchers and engineers.- Support client engagements by providing consulting and solutioning for complex client problems by brining in niche AI skills and utilizing advanced internal and external frameworks and accelerators. Professional & Technical Skills: - A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes IITs, IISc, IIIT and ISI- Overall experience 10-12 years and Relevant experience (post PhD) 5+ years.- Experience with evaluation metrics and safety benchmarks.- Familiarity with human-in-the-loop systems and feedback collection.- Multi Modal AI Model Building and Fine tuning- Proven track record of innovation and publications. Additional Information:- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Computer Vision Good to have skills : NAMinimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Accenture Center for Advance AI (CAAI) focuses on building scalable enterprise AI and Gen AI based solutions for various industries such as - Financial Services, Utilities, Energy, Manufacturing, Retail, Communications, Heath & Public Services, and Products. The Applied AI Research and Innovation Group, within CAAI, is focusing on foundational and applied research in the various fields of AI Gen AI, Model building/training/finetuning, Agentic AI, etc. to develops offerings which can be utilized for complex and challenging client delivery projects.AI Research and Innovation Lead Agentic AI (Experienced PhDs from Premium Institutes) - We are seeking a visionary AI Research and Innovation Lead to spearhead our efforts inAgentic AIdeveloping autonomous, goal-driven AI systems capable of reasoning, planning, and interacting in complex environments. This role is ideal for a thought leader passionate about pushing the boundaries of intelligent agents. Roles & Responsibilities:-Lead R&D in agentic architectures, autonomous agents, including planning, memory, tool use, and self-reflection, human agent collaboration, model/agent drift detection.-Design and prototype autonomous agents for real-world applications (e.g., enterprise automation, digital assistants, healthcare autonomous agents).-Collaborate with solutioning, delivery and engineering teams to integrate agentic capabilities into scalable systems across various industries, collaborate with Responsible AI team to ensure the polices are baked in the solutions, consulting team to provide technical depth in AI, academia and industry partners for pushing the research boundaries.-Publish and present novel and innovative research findings in top AI venues.-Develop a larger AI talent and foster a culture of continuous learning across practice and organization. Mentor a team of researchers and engineers.-Support client engagements by providing consulting and solutioning for complex client problems by bringing in niche AI skills and utilizing advanced internal and external frameworks and accelerators. Professional & Technical Skills: -A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes IITs, IISc, IIIT and ISI-Overall experience 10-15 years and Relevant experience (post PhD) 5+ years.-Deep expertise in reinforcement learning, autonomous agents, and multi-agent systems.-Strong understanding of LLMs and their integration into agentic workflows.-Experience with frameworks like LangChain, AutoGPT, or similar.-Proven track record of innovation and publications. Additional Information:- The candidate should have minimum 18 years of experience in Computer Vision.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education