6 Ann Jobs

Dear Candidate, We are hiring a Robotics Engineer to develop intelligent robotic systems for automation and industrial applications. The role requires expertise in robotics programming, sensor integration, and AI-driven automation. Key Responsibilities: Design and develop robotic systems using ROS, C++, and Python. Implement AI-based perception and motion planning algorithms. Integrate sensors, actuators, and embedded controllers. Optimize robotic navigation and real-time decision-making. Test and validate robotic applications in real-world environments. Required Skills & Qualifications: Robotics Frameworks: ROS, OpenCV, TensorFlow Programming: C++, Python, MATLAB Hardware Integration: LIDAR, IMU, Cameras, Actuators Control Systems: PID, Kalman Filters, Path Planning Experience with autonomous vehicles or robotic arms is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

Job Overview We are seeking a highly skilled Senior Machine Learning Engineer with expertise in Classical ML, LLM-based AI solutions, real-time ML processing, MLOps, and full-stack AI development. The ideal candidate will have experience building, optimizing, and deploying AI/ML models at scale, with a strong understanding of data-driven AI applications and cloud-based deployments. Key Responsibilities Classical ML & AI Solutions Develop, fine-tune, and deploy Machine Learning (ML) models for classification, regression, time series forecasting, and recommendation systems. Work with structured and unstructured data, performing feature engineering and data transformations. Implement and optimize ML models in production environments. LLM Development & AI Solutions Develop and deploy LLM-based applications for business use cases. Implement LangGraph (LangChain), CrewAI, and multi-agent frameworks for enterprise AI solutions. Optimize AI workflows by integrating data from SAP, Salesforce, and other enterprise systems. Expertise in Prompt Engineering frameworks (CoT, ReAct, ToT, etc.). Real-time ML & Full-stack Development Design and implement real-time ML production systems using Kafka, Apache Flink, or Apache Spark Streaming. Develop and maintain full-stack AI applications using modern web frameworks. Preprocess and transform streaming data for real-time inference and incremental training. Databricks ML & MLOps Implementation Implement Databricks ML frameworks (Mosaic AI) for scalable ML solutions. Deploy and manage MLOps frameworks for model lifecycle automation. Ensure cost-effective, scalable AI deployments on Azure, AWS, or GCP. Multimodal AI & Advanced RAG Optimization Build and optimize Multimodal AI Systems for real-world business use cases. Enhance Advanced RAG (Retrieval-Augmented Generation) and Text2SQL solutions to address edge-case scenarios. Must-Have Skills 3+ years of experience in Machine Learning, Deep Learning, and AI model deployment. Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Hugging Face). Solid understanding of Classical Machine Learning Algorithms for classification, regression, time series forecasting, and recommendation systems. Experience in MLOps, model monitoring, and optimization using vLLM or TensorRT. Hands-on experience with Azure Machine Learning Pipelines, AKS/ACR/App Service, and CI/CD workflows. Strong SQL & NoSQL database expertise. Experience in Big Data processing tools (Spark, Databricks, Snowflake). Strong grasp of Statistics, Probability, and ML Algorithms. Good to Have Generative AI (GenAI): Experience with LLM fine-tuning, Transformer models (GPT, BERT, T5, LLaMA, etc.). Familiarity with Vision AI, NLP, and multimodal AI architectures. Contributions to open-source projects or research publications in AI/ML. Prior experience in Manufacturing or Enterprise AI solutions. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge AI/ML projects. Professional development support and flexible work environment. If you are passionate about AI-driven innovation and want to work on state-of-the-art ML solutions, wed love to hear from you! Please note that the interview for this opening position will be held in-person only. The interview is scheduled for 26th April (Saturday) . If you are interested, kindly apply through the link provided below: https://forms.office.com/r/gRDKDyrwyM Additionally, please send your updated resume to chaity.mukherjee@celebaltech.com .

Dear Candidate, We are hiring a Robotics Engineer to develop intelligent robotic systems for automation and industrial applications. The role requires expertise in robotics programming, sensor integration, and AI-driven automation. Key Responsibilities: Design and develop robotic systems using ROS, C++, and Python. Implement AI-based perception and motion planning algorithms. Integrate sensors, actuators, and embedded controllers. Optimize robotic navigation and real-time decision-making. Test and validate robotic applications in real-world environments. Required Skills & Qualifications: Robotics Frameworks: ROS, OpenCV, TensorFlow Programming: C++, Python, MATLAB Hardware Integration: LIDAR, IMU, Cameras, Actuators Control Systems: PID, Kalman Filters, Path Planning Experience with autonomous vehicles or robotic arms is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Dear Candidate, We are hiring a Computer Vision Engineer to develop AI-driven solutions for image recognition, object detection, and video analysis. The role requires expertise in deep learning, computer vision algorithms, and real-time processing techniques. Key Responsibilities: Develop and optimize computer vision models using OpenCV, TensorFlow, and PyTorch. Implement object detection, segmentation, and facial recognition algorithms. Process and analyze large-scale image and video datasets. Optimize deep learning models for real-time inference on edge devices. Collaborate with AI and software teams to integrate vision solutions into applications. Required Skills & Qualifications: Computer Vision Frameworks: OpenCV, DLIB, MediaPipe Deep Learning: TensorFlow, PyTorch, Keras Algorithms: CNNs, YOLO, Faster R-CNN, Mask R-CNN Programming: Python, C++, CUDA Edge AI: TensorRT, OpenVINO, NVIDIA Jetson Experience with autonomous systems, OCR, and SLAM is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

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

Some of the key responsibilities include: Data mining involves extracting usable data from valuable sources. Possesses extensive knowledge of Python, including a deep understanding of machine learning libraries. Utilises machine learning tools to select features, create and optimise classifiers, and carry out preprocessing of both structured and unstructured data. Proficient with deep learning models such as ANN, CNN, and NLP. Enhances data collection procedures to encompass all relevant information for developing analytical systems. Processes, cleanses, and validates the integrity of data for analysis. Analyses large volumes of information to identify patterns and solutions. Develops prediction systems and machine learning algorithms. Proposes solutions and strategies to address business challenges. Collaborates with business and IT teams. Required Technical Skills: Programming Skills Knowledge of statistical programming languages such as R and Python, along with database query languages like SQL, is desirable. Statistics Strong applied statistical skills, encompassing knowledge of statistical tests, distributions, regression, and maximum likelihood estimators, are essential for data-driven companies. Machine Learning A good understanding of machine learning methods is required. Strong Math Skills (Multivariable Calculus and Linear Algebra) - Understanding the fundamentals of Multivariable Calculus and Linear Algebra is crucial, as they form the basis of many predictive performance and algorithm optimization techniques. Data Wrangling Proficiency in managing data imperfections is a key aspect of a data scientist's job description. Experience with Data Visualisation Tools such as Matplotlib, which assist in visually encoding data. Required Skills: Good with ML, Computer Vision & DL concepts Strong experience in creating data pipelines Proficiency in database management Hands-on expertise in model retraining and deployment Proficiency in Python coding Cloud AWS/Azure Looking for 6+Yrs of experience. Looking for Immediate to 30 Days of Notice Period (Also Serving NP Professionals)