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Latest Tech Openings

AI/ML Engineer (Fresher)

Location: Remote | Experience: 0-1 year | Salary: ₹4-16 LPA

Assist in developing machine learning models, training datasets, and applying AI algorithms in real-world applications like NLP, image processing, and recommendation systems.
#AIMLEngineer #MachineLearning #ArtificialIntelligence #Freshers #DeepLearning

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Data Scientist (Junior)

Location: Remote | Experience: 0-1 year | Salary: ₹4-16 LPA

Analyze large datasets using Python, R, or SQL, build predictive models, and generate business insights using tools like Jupyter, Pandas, and Scikit-learn.
#DataScience #FreshersInTech #Python #BigData #PredictiveAnalytics

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AI Robotics Engineer (Fresher)

Location: Remote | Experience: 0-1 year | Salary: ₹4-16 LPA

Assist in designing and developing intelligent robotic systems by integrating AI algorithms with real-world robotics applications such as autonomous navigation, object detection, sensor fusion, and robotic arm manipulation. Contribute to the training and deployment of machine learning models on embedded platforms, and work with tools like ROS, OpenCV, and TensorFlow to enable real-time perception, control, and decision-making in robots. Collaborate on implementing computer vision and edge AI techniques for tasks such as SLAM, path planning, and human-robot interaction across industries like manufacturing, logistics, and healthcare.
#AIRoboticsEngineer #AutonomousSystems #ComputerVision #EdgeAI #SLAM #ROS #FreshersInRobotics #AIforRobots

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AI-Cloud Engineer – AWS/Azure (Fresher)

Location: Remote | Experience: 0-1 year | Salary: ₹4-16 LPA

Work on cloud infrastructure setup, deployment, and monitoring using platforms like AWS, Azure, or GCP. Includes knowledge of EC2, S3, IAM, and basic DevOps tools.
#CloudEngineer #AWSJobs #AzureFreshers #CloudComputing #DevOps

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AI Trainer / Annotation Specialist

Location: Remote | Experience: 0-1 year | Salary: ₹4-16 LPA

Train AI models by labeling datasets (text, image, audio) and ensuring high-quality input for machine learning pipelines. Critical role in AI data pipeline.
#AITrainer #DataAnnotation #AIFreshers #ComputerVision #NLP

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