Develop computer vision models to count pallets, track inventory, and optimize warehouse storage using camera feeds. Implement object detection algorithms (YOLO, Faster R-CNN, SSD) to recognize pallet positions and SKU counts. Work with sensor fusion techniques combining LiDAR, RFID, and IoT sensors for real-time inventory tracking. Optimize warehouse workflows using reinforcement learning and predictive analytics. Design AI-powered dashboards for warehouse managers to monitor real-time inventory levels. Deploy models on edge devices (Jetson Nano, Raspberry Pi, TPU) for on-premise AI processing. Ensure seamless integration with ERP and WMS platforms for automated inventory updates. Strong expertise in computer vision (OpenCV, PyTorch, TensorFlow, YOLO, Mask R-CNN). Proficiency in Python, SQL, and data pipeline automation. Experience in RFID, barcode scanning, and IoT-driven warehouse solutions. Knowledge of warehouse operations, inventory forecasting, and logistics optimization. Experience in deploying AI models on cloud platforms (AWS, Azure, GCP). Be part of a team that is revolutionizing warehouse automation and logistics using AI. Work on high-impact AI solutions deployed in global supply chain and e-commerce industries. Career growth in AI-powered logistics and automation. Gain hands-on experience in Edge AI, real-time tracking, and smart inventory management.

Job Description We are currently hiring a highly skilled and motivated Data Science, AI, ML, DL, Generative AI, Agentic AI Engineer to join our talented engineering team. As an AI Engineer, you will be responsible for developing and implementing cutting-edge generative AI models to solve complex problems and drive innovation across our organization. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy AI powered solutions that enhance our products and services. AI Engineers Capabilities : Tasked with developing and implementing the AI, ML, DL, GenAI and Agentic AI models and algorithms that power the platforms capabilities. Responsibilities : Designing, developing, and implementing AI models and algorithms. Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. Conducting research to stay up-to-date with the latest advancements in AI, ML, DL, GenAI, Agentic AI techniques and identify opportunities to integrate them into our products and services. Optimizing existing AI models for improved performance, scalability, and efficiency. Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. Contributing to the establishment of best practices and standards for AI development within the organization. Providing technical mentorship and guidance to junior team members. Competencies for AI Engineers : Expertise in Machine Learning Frameworks Proficiency with TensorFlow, Keras, PyTorch, scikit-learn, and FastAI. Deep Learning Knowledge Strong understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs, etc.). Data Preprocessing & Model Training Ability to clean, preprocess, and train models efficiently. Natural Language Processing (NLP) & Computer Vision (CV) Experience in NLP (LLMs, text embeddings) and CV (object detection, segmentation) if applicable. Agentic AI Skills Ability to scale expertise with agentic AI, leveraging autonomous decision-making systems. Optimization & Scalability Experience in optimizing AI models for deployment and performance. Software Engineering & AI Integration Familiarity with APIs, cloud platforms, and AI deployment pipelines. Programming Python exposed with frameworks

Data Scientist Young Minds Technology Solutions Pvt. Ltd - Data Scientist Hyderabad Develop, train, and deploy ML models for NLP and Computer Vision. Work on image and video processing techniques to extract insights. Optimize deep learning models for accuracy and efficiency. Implement object detection, segmentation, and feature extraction. Collaborate with cross-functional teams to integrate AI solutions. Stay updated on AI/ML trends to enhance model performance. Proficiency in Machine Learning algorithms and frameworks. Expertise in LLMs (BERT, RoBERTa, XLNet, GPT, LLaMA). Deep Learning knowledge (LSTM, CNN, RNN, MobileNet, VGG16, InceptionNet, etc.). Experience in image processing, feature extraction, object detection (YOLO), and segmentation. Hands-on experience with TensorFlow, PyTorch, Flask, or Django for model deployment. Strong data preprocessing and analysis skills for large datasets. Ability to fine-tune models for performance and efficiency. Excellent communication skills to articulate complex technical concepts. Bachelor s or Master s degree in Computer Science, Engineering, Mathematics, or related fields Prior experience in scalable ML solutions is a plus. Should be Immediately Available for Joining Work From Office job Agreement for a period of 15 Months Initial CV Screening Telephonic Screening Technical Telephonic Round Tool Test (On need for preferred position) HR Manager Round

Job Title: Inside Sales ExecutiveCompany: 360DigiTMGLocation: Chennai Job Type: Full-time/PermanentAbout Us:360DigiTMG is one of the world's pioneering Edutech Companies renowned for empowering Indias leading professionals with industry-relevant skills. Our cutting-edge certification programs are meticulously designed to align with the latest market trends, ensuring that our learners are equipped with the knowledge and expertise to excel in today’s dynamic business environment. With a strong focus on data science, AI, and emerging technologies, we are committed to shaping the future of education and helping individuals achieve their career goals. Join us in driving innovation and excellence in the EdTech space.Role Overview:We are looking for a results-driven Inside Sales Executive with at least 1 year of experience in EdTech or a related field. The ideal candidate will have a passion for sales and customer engagement, with a proven track record of achieving sales targets. You will be responsible for generating and converting leads, conducting sales pitches, and maintaining strong relationships with potential clients.Key Responsibilities:Generate and qualify leads through various channels (cold calling, email campaigns, etc.)LMS and CRM Experience can be advantageousConduct compelling sales presentations and product demonstrations to potential clientsConvert leads into sales and meet or exceed monthly sales targetsBuild and maintain strong relationships with clients for repeat business and referralsCollaborate with the marketing and product teams to create effective sales strategiesKeep track of sales activities, prospects, and customer needs in CRM softwareProvide regular feedback to the sales team leader and managementRequirements:Minimum 1 to 6 years of experience in Inside Sales, preferably in the EdTech industryProven ability to meet and exceed sales targetsStrong communication and interpersonal skillsAbility to work independently and as part of a teamExcellent time management and organisational skillsBachelor's degree or equivalent experience

Develop and maintain backend services using Python to support AI models and machine learning workflows. Work with SQL and NoSQL databases to manage and optimize data storage for AI/ML applications. Integrate and optimize APIs (including RESTful and GraphQL) for communication between AI models and frontend or other backend systems. Contribute to data pipeline development and optimization for handling large datasets used in machine learning tasks. Proficiency in Python for backend development and integration with AI/ML frameworks. Strong knowledge of SQL for managing and querying relational databases. Hands-on experience in API development and integration (particularly RESTful APIs). Familiarity with Git for version control and collaborative development. Basic understanding of machine learning concepts and AI technologies. Familiarity with cloud platforms (AWS, Google Cloud, Azure) for deploying AI services is a plus. Knowledge of containerization technologies like Docker. Basic understanding of AI/ML algorithms such as NLP, Computer Vision, or Reinforcement Learning. Demonstrated interest in data science and machine learning. Familiarity with Skills like Python, SQL, Prompt Engineering, Fast API, Git, CICD, and ReactJS. Strong analytical and problem-solving skills. A proactive and enthusiastic attitude.

Strong foundation in data science concepts and methods. Proficiency in Python for data analysis and developing AI systems. Experience with SQL for querying and managing relational databases. Understanding of Generative AI concepts and practical prompt engineering techniques (creating and optimizing AI prompts for model performance). Familiarity with Generative AI concepts and techniques (such as Large Language Models and Prompt Engineering). Exposure to Generative AI and machine learning concepts and their real-world applications. Expertise in machine learning algorithms, data analysis, and model development to drive innovation and optimize AI-driven solutions. Help configure and implement generative AI systems, specifically in the context of large language models (LLMs) and RAG. Basic knowledge of cloud technologies and their role in AI solution deployment. Exposure to GitHub and development practices for cloud-based applications. Demonstrated interest in data science and machine learning. Familiarity with Skills like Python, SQL, Prompt Engineering, Fast API, Git, CICD, and ReactJS. Strong analytical and problem-solving skills. A proactive and enthusiastic attitude.

Assist in the design and implementation of CI/CD pipelines to automate the integration, testing, and deployment of AI models and applications. Assist in the design and implementation of CI/CD pipelines to automate the integration, testing, and deployment of AI models and applications. Collaborate with the backend and AI teams to optimize workflows and infrastructure for better performance and scalability. Manage version control using Git to ensure code is effectively tracked and deployed across different environments. Write and maintain Python scripts to automate tasks, monitor systems, and support infrastructure management. Assist in maintaining and improving cloud-based environments and services, ensuring uptime and reliability for AI applications. Proficiency in Cloud platforms (AWS, GCP, or Azure) for managing cloud resources, scaling applications, and deploying services. Strong knowledge of CI/CD tools (GitLab CI, CircleCI, etc.) to automate build, test, and deployment processes. Hands-on experience with Git for version control, code collaboration, and ensuring efficient code management. Proficiency in Python for scripting, automation, and infrastructure management tasks. Familiarity with Infrastructure-as-Code tools. Demonstrated interest in data science and machine learning. Familiarity with Skills like Python, SQL, Prompt Engineering, Fast API, Git, CICD, and ReactJS. Strong analytical and problem-solving skills. A proactive and enthusiastic attitude.

Strong foundation in data science concepts and methods. Proficiency in Python for data analysis and developing AI systems. Experience with SQL for querying and managing relational databases. Understanding of Generative AI concepts and practical prompt engineering techniques (creating and optimizing AI prompts for model performance). Familiarity with Generative AI concepts and techniques (such as Large Language Models and Prompt Engineering). Exposure to Generative AI and machine learning concepts and their real-world applications. Familiarity with LangChain Help configure and implement generative AI systems, specifically in the context of large language models (LLMs) and RAG. Basic knowledge of cloud technologies and their role in AI solution deployment. Exposure to GitHub and development practices for cloud-based applications. Demonstrated interest in data science and machine learning. Familiarity with Skills like Python, SQL, Prompt Engineering, Fast API, Git, CICD, and ReactJS. Strong analytical and problem-solving skills. A proactive and enthusiastic attitude.