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.
Role & responsibilities Title: Senior Software Engineer Location: Remote Experience Required: 56 Years Position Type: Full-Time Openings: 1 Job Overview: We are seeking a Senior Software Engineer with 5–6 years of hands-on experience in full-stack development. This is a remote position, offering the opportunity to work on cutting-edge projects involving Node.js, React.js, SQL, GraphQL, AWS Serverless, and Graph Databases. The ideal candidate will also have exposure to Large Language Model (LLM) integrations and OCR techniques, contributing to smart, AI-driven applications. Key Responsibilities: Architect and develop scalable, cloud-native backend services using Node.js and AWS Serverless infrastructure (Lambda, API Gateway, DynamoDB, S3, etc.). Build responsive and high-performance frontend applications using React.js. Design and implement flexible, secure GraphQL APIs. Manage and querye Models (LLMs) such as OpenAI/GPT for smart automation, chatbots, or semantic search features. Implement OCR solutions using tools such as Tesseract, AWS Textract, or similar for document data extraction. Contribute to DevOps workflows, including CI/CD pipelines and infrastructure automation using Terraform or CloudFormation. Participate in code reviews, knowledge sharing, and mentoring of junior team members. Required Skills: Strong proficiency in Node.js and React.js Experience in SQL database development and optimization Working knowledge of GraphQL and API security best practices Hands-on experience with AWS Serverless architecture Practical knowledge of Neo4j or other Graph Databases Experience in integrating LLM APIs (e.g., OpenAI, Anthropic, LangChain) Understanding of OCR tools like Tesseract, AWS Textract, or Google Vision API Familiarity with modern software development practices including CI/CD, Git, agile methodologies Nice to Have: Experience with Terraform or AWS CloudFormation Familiarity with TypeScript, NoSQL, and microservices architecture Understanding of containerization using Docker, ECS, or EKS Prior experience with AI/ML workflows or prompt engineering
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