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360DigiTMG is a global leader in education and career enablement, connecting talent with opportunity. We have trained over 50,000 professionals worldwide, and prepared them for leadership roles in the digital economy.
Our AiSPRY powered network and partnerships with top-tier companies ensure that our alumni and job seekers have access to job opportunities in cutting-edge technologies like Data Science, Data Analytics, AI, Machine Learning, and Data Engineering.
We pride ourselves on fostering innovation, offering real-world project experience, and empowering individuals to thrive in their careers. Whether you're an experienced professional or a fresh graduate, we help you bridge the gap to your dream job.
Job Description:
We are developing an AI-driven ICU monitoring system that aggregates real-time patient data from multiple medical devices, enabling predictive and prescriptive analytics for proactive patient care. This AI-powered system will help doctors and healthcare providers detect early warning signs of critical conditions, improving decision-making and patient outcomes.
Responsibilities:
Design and implement machine learning models to analyze ECG, oxygen levels, blood pressure, and other physiological signals in real time.
Develop anomaly detection algorithms to identify early signs of deterioration in ICU patients.
Work with time-series forecasting techniques (LSTMs, GRUs, Transformers) for predictive patient care.
Build multi-modal AI models that integrate data from ICU monitors, EHR systems, and sensor-based inputs.
Implement streaming analytics to process high-frequency real-time patient data.
Develop AI-powered decision support tools to recommend personalized treatment strategies.
Ensure regulatory compliance (HIPAA, GDPR) and model interpretability for medical professionals.
Collaborate with healthcare experts, doctors, and hospital IT teams for AI solution deployment.
Required Skills & Expertise:
Strong expertise in time-series analysis, signal processing, and deep learning models.
Hands-on experience with TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas, and time-series forecasting tools.
Experience with real-time data ingestion and processing frameworks (Apache Kafka, Spark Streaming, MQTT, IoT Edge).
Familiarity with biomedical signal analysis, medical imaging, and patient monitoring systems.
Proficiency in Python, SQL, and cloud-based model deployment (AWS, Azure, GCP).
Understanding of clinical workflows, electronic health records (EHR), and medical data privacy standards.
Why Join Us?
Work on life-saving AI solutions that directly impact patient outcomes.
Gain experience in healthcare AI, predictive analytics, and real-time medical data processing.
Collaborate with top-tier healthcare professionals, hospitals, and AI researchers.
Competitive salary, access to cutting-edge medical AI research, and career growth opportunities.
Experience: 1-4 years
Job Type: Full-time
Clients: Comen
We are seeking an AI/ML Engineer to develop an intelligent damage detection and classification model for applications in automotive, logistics, and manufacturing industries. This AI-driven solution will analyze images, videos, and sensor data to automatically detect, classify, and predict different types of damages such as scratches, dents, structural failures, and surface wear. The solution will be integrated into real-time quality control and predictive maintenance systems.
Develop deep learning models to analyze images and videos for automated defect detection and classification.
Implement CNN-based architectures (ResNet, EfficientNet, YOLO, Faster R-CNN, Mask R-CNN) for precise defect localization.
Train models on diverse datasets for damage classification, severity assessment, and predictive analytics.
Work with thermal imaging, hyperspectral analysis, and multi-sensor fusion to improve defect detection accuracy.
Deploy AI solutions on edge devices (Jetson Nano, TPU) for real-time inspection on production lines and warehouses.
Optimize models to work under varying lighting conditions, surface textures, and industrial environments.
Integrate the solution with robotic inspection systems, drone-based assessments, and smart manufacturing processes.
Develop a dashboard and reporting tool for stakeholders to monitor damage reports and predictive insights.
Strong expertise in computer vision (OpenCV, PyTorch, TensorFlow, Keras, YOLO).
Hands-on experience in object detection, segmentation, and anomaly detection models.
Proficiency in Python, TensorFlow, OpenCV, Scikit-learn, and cloud-based model deployment (AWS/GCP/Azure).
Familiarity with industrial automation, defect inspection, and predictive maintenance solutions.
Experience working with large-scale image and video datasets for AI model training.
Understanding of real-time processing techniques for edge deployment.
Be at the forefront of AI-driven quality control in manufacturing, automotive, and logistics industries.
Gain hands-on experience in advanced computer vision, sensor fusion, and defect classification.
Career progression in industrial AI and automation.
Work on real-world applications that help optimize costs, reduce wastage, and enhance product quality.
Clients: Central Railways, Siemens, SLMG, Metalseam
We are hiring an AI/ML Engineer to build speech enhancement and automatic transcription models that improve audio quality and extract textual information with high accuracy. This solution will be used in call centers, legal proceedings, podcast transcription, and assistive technologies.
Develop deep learning-based speech denoising models (WaveNet, DeepSpeech, Wav2Vec 2.0).
Work on audio preprocessing techniques (STFT, MFCC, Mel-spectrograms, Noise Reduction algorithms).
Implement NLP models for accurate speech-to-text conversion.
Train and fine-tune ASR models using domain-specific datasets.
Optimize AI models for low-latency real-time audio processing.
Collaborate with UI/UX teams to integrate AI solutions into transcription applications.
Strong knowledge of speech processing, ASR models, and signal processing techniques.
Experience in TensorFlow, PyTorch, Kaldi, SpeechBrain, DeepSpeech.
Expertise in Natural Language Processing (NLP) and text analytics.
Knowledge of audio classification, speaker diarization, and emotion recognition is a plus.
Work on state-of-the-art AI-driven speech processing technologies.
Opportunity to work with global clients in media, customer support, and legal industries.
Growth in AI-powered voice intelligence solutions.
As an AI/ML Engineer, you will build an automated pallet counting and warehouse optimization solution using computer vision, deep learning, and IoT analytics. This AI-driven system will enhance warehouse operations, reduce errors, and optimize inventory management in logistics and supply chain industries.
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.
Clients: LEAP, Siemens, CHEP
We are looking for an AI/ML Engineer to develop an advanced road deterioration prediction model and pavement condition assessment system using AI, computer vision, and IoT-based data analytics. This role involves analyzing large-scale road imagery, identifying deterioration patterns, and creating predictive models that help governments and infrastructure companies proactively plan road maintenance.
Develop and implement computer vision algorithms to detect cracks, potholes, and road deterioration from drone and vehicle-mounted cameras.
Utilize geospatial and satellite data for pavement health monitoring.
Build predictive maintenance models to forecast road wear and tear based on environmental and traffic conditions.
Apply deep learning (CNN, Transformers) and classical ML techniques for image classification and segmentation.
Work with LiDAR, IoT sensor data, and high-resolution imagery to assess pavement quality.
Collaborate with civil engineers, urban planners, and government agencies for real-world deployment.
Optimize AI models for real-time performance and integrate them into cloud-based dashboards for automated monitoring.
Strong experience in computer vision (OpenCV, TensorFlow, PyTorch, YOLO, Faster R-CNN, U-Net).
Experience in geospatial data processing (GIS, Google Earth Engine, QGIS, ArcGIS).
Proficiency in Python, NumPy, Pandas, and ML libraries.
Knowledge of IoT sensor integration and time-series analysis for predictive modeling.
Cloud-based deployment on AWS, Azure, or Google Cloud.
Familiarity with transportation analytics and civil engineering concepts is a plus.
Work on projects that directly impact urban infrastructure, smart cities, and road safety.
Collaborate with government agencies, research institutions, and AI leaders in infrastructure technology.
Competitive salary with growth opportunities in AI-driven urban planning.
Access to cutting-edge research in geospatial AI and road condition assessment models.
Clients: YNMSafety, RaiseTech
We are looking for an AI/ML Engineer to develop a smart sales scheduling and routing system to optimize sales representatives' daily schedules, reduce costs, and increase sales efficiency through AI-driven recommendations and route optimization.
Algorithm Development: Design ML-based scheduling and route optimization algorithms, addressing challenges such as the Traveling Salesman Problem (TSP) and Vehicle Routing Problem (VRP).
Real-time Data Integration: Utilize real-time inputs (traffic, customer locations, weather) to refine scheduling and routing decisions.
Advanced Machine Learning Techniques: Apply reinforcement learning to dynamically adjust field schedules for optimal performance.
Collaboration: Work closely with sales managers to integrate AI-driven workforce allocation models that align with field operations.
Deployment: Deploy AI solutions on cloud-based salesforce automation platforms, ensuring scalability and efficiency.
Impactful Work: Revolutionize field sales operations with AI-powered efficiency models, directly contributing to enhanced operational effectiveness.
Career Growth: Opportunities for progression in AI-driven sales automation and workforce optimization within global companies.
Skill Development: Engage with cutting-edge ML models and state-of-the-art technology, paving the way for substantial professional development.
Clients: GT, ViCat, Medtronics
We are hiring an AI/ML Engineer to develop an ASD detection model using machine learning, behavioral data analysis, and advanced diagnostics. You will work on groundbreaking AI-driven mental health assessments to identify ASD risks early and recommend intervention strategies.
Develop machine learning models for early ASD assessment using clinical and behavioral data.
Analyze genetic, MRI, and EEG datasets to improve ASD risk prediction models.
Work with deep learning techniques (CNN, GANs, RNNs) for feature extraction from speech and facial expressions.
Collaborate with medical professionals and psychologists to refine AI-based assessments.
Deploy scalable AI solutions for ASD detection in healthcare institutions.
Ensure ethical AI practices in mental health applications.
AI & ML Techniques: Proficiency in classification, anomaly detection, and pattern recognition.
Deep Learning: Experience with CNN, GAN, and LSTM models, particularly for behavioral and speech analysis.
Medical Data Processing: Ability to work with MRI, EEG, and facial/speech recognition data.
Data Engineering: Expertise in big data processing and feature engineering.
Regulatory Compliance: Familiarity with HIPAA, GDPR, and other relevant data protection regulations.
Impactful Work: Directly contribute to improving early ASD detection and intervention strategies.
Cutting-edge Resources: Access to world-class AI/ML tools, mentorship, and research collaborations.
Career Growth: Enjoy growth opportunities in the fields of medical AI and healthcare startups, with exposure to advanced AI research.
Clients: Ravi Hospitals
We are seeking an innovative AI/ML Engineer to build a cutting-edge disease prediction model and AI-powered wellness recommendation system. This role will allow you to work on real-world healthcare challenges by leveraging data science, deep learning, and predictive analytics to transform patient care and preventive wellness programs.
Clients: HPCL, JSW, GT
We are seeking a skilled Data Engineer with strong expertise in data technologies and engineering practices. The ideal candidate will possess experience in designing, building, and managing data pipelines and solutions that support business intelligence and analytics needs.
Required Skills:
Experience:
Swiggy is hiring for the position of Data Scientist I in Bengaluru, Karnataka, India. The role involves applying Machine Learning (ML) and Deep Learning (DL) techniques to solve business problems
in the e-commerce and logistics domain.
Requirements:
Technical Skills:
Way of working - Remote: Employees will have the freedom to work remotely all through the year. These employees, who form a large majority, will come together in their base location for a week, once every quarter.
We are looking for a "Data Analyst" to enhance business intelligence by improving reporting tools, data processes, and business metrics. The ideal candidate should have strong analytical skills, proficiency in SQL and Excel, and a problem-solving mindset. You will play a crucial role in providing actionable insights to drive strategic decision-making.
Interview Process:
Eligibility:
Additional Information:
Position: Data Analyst Location: Bangalore (Candidates willing to relocate are welcome) CTC: 6 LPA Job Type: 11-month contract (possibility of conversion to full-time based on performance)
We are seeking a skilled and motivated Data Scientist with expertise in statistics, mathematics, and computer science to extract insights and develop predictive models. The role begins with a 6-month paid internship, leading to full-time employment with a 3-year bond (including the internship period)
Preferred Qualifications:
Selection Process:
Resume Expectations: Strong technical skills relevant to the role. Completion of relevant certifications (if any). Prior experience or proven capability in the required skill set.
Work Timings: 1:00 PM – 10:00 PM Workdays: Monday to Friday (Weekends Off) Internship Period: 6 months (Paid) Employment Bond: 3 years (including the internship) Drop Facility: Available
Job Description: We are looking for a passionate AI/ML Developer (Fresher) to join our team. The ideal candidate should have a strong understanding of machine learning concepts, data processing, and programming skills. This role offers a great opportunity to work on realworld AI/ML projects, gain hands-on experience, and grow in the field of artificial intelligence.
Preferred Skills (Good to Have):
Educational Qualification:
If you are eager to start your career in AI/ML and want to work in an exciting and innovative environment, we would love to hear from you!
We are looking for an enthusiastic "AI/ML Developer (Fresher)" with a strong foundation in Python, Machine Learning, and Deep Learning. As part of our dynamic team, you will work on cutting-edge AI projects, developing intelligent solutions that transform industries and enhance user experiences.
As an AIML Developer (Freshers), you will be a part of a team focused on building AI and ML solutions for real-world problems. Model Development: Assist in developing machine learning and deep learning models for various use cases. Data Processing: Help with preprocessing and cleaning large datasets. Algorithm Implementation: Implement AI algorithms for supervised and unsupervised learning. Collaboration: Work closely with senior developers and data scientists to enhance AI/ML models.
Testing and Debugging: Assist in model testing and evaluating performance metrics. Documentation: Maintain clear documentation for models and algorithms. Learning and Growth: Continuously update skills in the rapidly evolving AI/ML space.
Job Details & Compensation:
1 .Personal Interview by HR. 2. Technical Interview by Development Lead. 3. Online Interview via Google Meet. 4. Coding Challenge (Live or Take-home). 5. Onboarding & Induction Process.
Benefits: 1. Direct Job Offer after successful completion of training 2. Work from Home. 3. Competitive salary with performance incentives. 4. Opportunity for growth and mentorship in a collaborative team environment. 5. Training and hands-on experience with real-time AI/ML projects. 6. Rewards & recognitions based on performance.
Terms and Conditions: Project Continuation: Based on successful completion of sprints and evaluations during training.
Candidate Requirements:
Job Description: We're seeking enthusiastic Fresher graduates for the "Data Analyst" role, Respective candidates should demonstrate strong analytical and computer skills to effectively manage & analyze data for loading into the platform, along with strong communication skills.
About Company:
Reference globe was established with the aim to provide software services in the educational domain across India. With over 10 years of experience, we have been working with 1000+ Engineering colleges.
Education / Job Experience Required:
Job Type : Full Time
Salary : 1.8 LPA to 2.4 LPA (Based on Skills)
Job Description: We're seeking enthusiastic Fresher graduates for the "Business Analyst" role, Respective candidates should hold a command of Communication and negotiation skills to communicate with the stakeholders in the educational domain.
Job Type : Full Time / Day shift
Salary : 2.4LPA to 3.6LPA (Based on the Skills)
Job Description: We are looking for AWS Data Analytics Specialist for 100% hands on role working with our team at a large American utility provider. Ideal candidate has at least 3 years of hands-on development experience with AWS services and programming languages detailed below.
Additional Details:
Notice Period:
Good to Have:
Must have skills:
Soft Skills:
Certification:
Experience: 4years to 9 Years
Roles & Responsibilities:
Skills & Qualifications:
Eligibility Criteria:
Technical Requirements: AI, Big Data, NLP, Machine Learning, Python, Microsoft LUIS
Responsibilities: Develop and implement AI models and solutions, Analysis large datasets, insights data driven decision making. Monitor and evaluate performance of AI models and continuously improve Documents processes methodologies and results to stakeholders.
Experience: 3 to 4 years
Job Description: We are seeking a skilled and detail-oriented professional to oversee and manage the organization's business data and analytics functions. The role involves designing and maintaining robust data pipelines, infrastructure, and models to process and analyze critical data, including website traffic, leads, sales, and P&L metrics. The ideal candidate will be responsible for ensuring data quality, developing scalable ETL processes, and building dashboards to enable actionable insights. This position requires close collaboration with cross-functional teams to align technical solutions with business objectives and support data-driven decision-making across the organization.
Education / Job Experience Required: 1. Bachelor's or master's degree in computer science, data science, or a related field Location: Bangalore
Day-to-Day Work:
Must-Have:
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