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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

Job Description:

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.

Responsibilities:

• 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.

Required Skills & Expertise:

• 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.

Why Join Us?

• 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.

Experience: 1-4 years

Job Type: Full-time

Clients: Central Railways, Siemens, SLMG, Metalseam

Job Description:

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.

Responsibilities:

• 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.

Required Skills & Expertise:

• 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.

Why Join Us?

• 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.

Experience: 1-4 years

Job Type: Full-time

Job Description:

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.

Responsibilities:

• 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.

Required Skills & Expertise:

• 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).

Why Join Us?

• 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.

Experience: 1-4 years

Job Type: Full-time

Clients: LEAP, Siemens, CHEP

Job Description:

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.

Responsibilities:

• 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.

Required Skills & Expertise:

• 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.

Why Join Us?

• 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.

Experience: 1-4 years

Job Type: Full-time

Clients: YNMSafety, RaiseTech

Job Description:

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.

Responsibilities:

• 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.

Required Skills & Expertise:

• 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.

Why Join Us?

• 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.

Experience: 1-4 years

Job Type: Full-time

Clients: GT, ViCat, Medtronics

Job Description:

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.

Responsibilities:

• 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.

Required Skills & Expertise:

• 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.

Why Join Us?

• 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.

Experience: 1-4 years

Job Type: Full-time

Clients: Ravi Hospitals

Job Description:

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.

Responsibilities:

• Develop Disease Prediction Models: Create AI-driven models using patient medical history, lifestyle data, and genetics.
• Design Wellness Recommendation Systems: Build and optimize an AI-powered personalized recommendation engine.
• Data Preprocessing & Analysis: Work with structured and unstructured healthcare data, including EHR, wearable sensor data, and medical records.
• Implement Advanced Models: Apply ML and deep learning techniques such as XGBoost, LSTM, and Transformers for diagnostic accuracy.
• Cloud Deployment: Ensure model scalability and deploy on cloud platforms like AWS, Azure, or GCP.
• Collaboration & Explainability: Partner with healthcare professionals and data scientists to improve model interpretability.
• Compliance: Maintain adherence to HIPAA and GDPR standards for data privacy and security.

Required Skills & Expertise:

• Programming: Proficient in Python experience with TensorFlow, PyTorch, and Scikit-learn.
• Machine Learning: Strong understanding of supervised and unsupervised learning, as well as feature engineering.
• Deep Learning: Hands-on experience with CNN, LSTM, and attention models, especially in processing medical images or text.
• Healthcare Data Handling: Familiar with electronic health records (EHR), wearable device data, and HL7/FHIR standards.
• Cloud Technologies: Experience deploying models using AWS SageMaker, Azure ML, or GCP AI Platform.
• Data Visualization: Skills in visualization tools like Tableau, Power BI, Matplotlib, and Seaborn.
   

Why Join Us?

• Impactful Work: Contribute to early disease detection and AI-driven wellness solutions that make a tangible impact in healthcare.
• Collaborative Environment: Work alongside top AI experts and healthcare professionals in a dynamic, innovative setting.
• Career Growth: Gain valuable expertise in both AI and the healthcare domain, paving the way for leadership opportunities.

Experience: 1-4 years

Job Type: Full-time

Clients: HPCL, JSW, GT

Job Description:

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.
 

Responsibilities:

• Design and develop scalable data pipelines and ETL processes.
• Collaborate with cross-functional teams to gather requirements and implement data solutions.
• Optimize data storage, processing, and retrieval for performance and cost-efficiency.
• Ensure data quality, consistency, and security across various systems.
• Maintain comprehensive documentation for data processes and solutions.

Required Skills:

• Python/PySpark for data processing and scripting.
• SQL/PLSQL for database querying and manipulation.
• Databricks for big data processing and analytics.
• Java for application development and system integration.

Experience:

• Total Experience: 5+ years
• Relevant Experience: 3+ years

Job Description:

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.

Responsibilities:

• Develop and apply ML/DL models to address business challenges.
• Work with large datasets (‘big data’) and deploy ML/DL models in production.
• Formulate and solve problems using first-principles thinking.
• Collaborate with teams to enhance data-driven decision-making.
• Communicate insights effectively through strong verbal and written skills.

Requirements:

• Education: Bachelor's or Master's degree in a quantitative field.
• Experience: 0-2 years in industry or research labs.

Technical Skills:

• Strong problem-solving abilities.
• Hands-on experience with ML/DL and statistical techniques.
• Proficiency in Python, SQL, Spark, TensorFlow.
• Experience in e-commerce and logistics (preferred).
• Knowledge of Generative AI (preferred).

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.

Job Description:

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.

Responsibilities:

• Improve reporting tools, methods, and processes.
• Create and deliver business metrics on a weekly, monthly, and quarterly basis.
• Manage and prioritize requests effectively.
• Provide insights for strategic decision-making.

Requirements:

• B.Tech/MBA or Master’s/Bachelor’s in Computer Science or related fields.
• 0-3 years of experience in data analysis.
• Proficiency in Advanced Excel and SQL (Python is a plus).
• Understanding of basic statistics and problem-solving skills.

Interview Process:

• Round 1: Online SQL Test
• Round 2: Technical Interview
• Round 3: Technical + Culture Fitment

Eligibility:

• Candidate who can join on immediate basis or for 15 days.

• 2019 to 2024 graduates are eligible to apply.

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)

Job Description:

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)

Responsibilities:

• Extract, clean, and analyze large datasets from various sources to uncover trends and insights.
• Develop predictive models and machine learning algorithms to address complex business challenges.
• Design and conduct experiments to test hypotheses and improve model accuracy.
• Work closely with cross-functional teams to transform business requirements into data-driven solutions.
• Interpret and present findings through reports, visualizations, and presentations for stakeholders.
• Optimize and automate data processes for efficiency and scalability.

Requirements:

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or a related field.
• Proficiency in Python, R, and SQL for data manipulation and model development.
• Hands-on experience with machine learning techniques and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong analytical, problem-solving, and statistical skills.
• Excellent communication and presentation skills for conveying insights effectively.

Preferred Qualifications:

• Experience working in cloud environments like AWS, Azure, OCI, or Google Cloud Platform.
• Knowledge of Docker and Kubernetes for containerization.
• Familiarity with Agile methodologies and DevOps practices.
• Experience with distributed computing and parallel processing frameworks.

Selection Process:

• HackerRank Test – Candidates will be evaluated on their technical proficiency.
• Interview Rounds – Shortlisted candidates will go through multiple interview rounds.
• Offer & Employment – Selected candidates will begin with a 6-month paid internship, followed by full-time employment with a 3-year bond.

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.

Additional Information:

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.

Responsibilities:

• Develop and implement machine learning models and algorithms.
• Work with large datasets to preprocess and clean data for AI/ML applications.
• Train, test, and optimize models to improve accuracy and performance.
• Collaborate with software developers, data engineers, and product teams to integrate AI solutions.
• Stay updated with the latest AI/ML trends, frameworks, and technologies.
• Assist in writing technical documentation and reports.

Requirements:

• Strong knowledge of Python and libraries such as TensorFlow, PyTorch, Scikitlearn, Pandas, and NumPy.
• Understanding of machine learning algorithms (Regression, Classification, Clustering, etc.).
• Basic knowledge of deep learning and neural networks.
• Experience with data preprocessing and feature engineering.
• Familiarity with SQL and databases for data handling.
• Good problem-solving and analytical skills.
• Strong communication and teamwork abilities.

Preferred Skills (Good to Have):

• Hands-on experience with AI/ML projects during academic coursework or internships.
• Knowledge of cloud platforms like AWS, Azure, or Google Cloud for AI/ML deployment.
• Understanding of Natural Language Processing (NLP) and Computer Vision concepts.
• Experience with tools like Jupyter Notebook, OpenCV, or Hugging Face models.

Educational Qualification:

• Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or a related field.
• Relevant AI/ML certifications or courses will be an added advantage.

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!

Job Description:

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.

Responsibilities:

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.

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
• Basic knowledge or understanding of machine learning algorithms, deep learning, and frameworks like TensorFlow, Keras, or PyTorch.
• Proficiency in Python and basic libraries such as Pandas, NumPy, Matplotlib.
• Understanding of data preprocessing, feature engineering, and model evaluation techniques.
• Passion for solving complex problems using AI/ML techniques.
• Strong analytical, mathematical, and problem-solving skills.
• Ability to work in a collaborative team environment.
• Strong communication skills to interact with cross-functional teams.
• Eagerness to learn and grow in the field of Artificial Intelligence and Machine Learning.

Job Details & Compensation:

• Department: Development
• Package: 2.5 to 5 Lakhs CTC (based on performance)
• Job Type: Full-time, Work from Home
• Working Days: 5 days (Monday to Friday)
• Internship Duration: 100 Working Days (Internship followed by Full-time Job based on performance)

Selection Process:

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:

• 100% attendance during training and project phases.
• Successful completion of tasks and project goals.
• Job offer will be based on performance and management discretion.

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.

Responsibilities:

• Ability to create courses, load syllabus, and timetables in the platform.
• Perform health checks on platform data and functionalities.
• Collaborate effectively with cross-functional development teams.
• Communicate with clients and gather requirements.
• Ability to give orientations to students and college stakeholders.
• Understand the product thoroughly to provide insights and improvements.

Requirements:  

• Proficiency in Microsoft Excel with Strong analytical and problem-solving skills.
• Excellent communication skills, both written and verbal.
• Client management and requirement gathering skills.
• Adaptability and willingness to learn new technologies.
• Attention to detail and organizational skills.

Additional Information:

• This role involves usage of built-in tools and Advanced Excel for data analysis and loading.
• No usage of coding languages like Python,SQL & visualization tools such as PowerBI and Tableau.

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: 

• B.Tech /M.Tech (Minimum 60% Score)
• Fresher 

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.

Responsibilities:

• Familiarizing yourself with all services offered by our company.
•  Able to demonstrate the product by mapping it with relevant use cases.
• Answer phone inquiries, direct calls, and provide basic company information.
• Procuring new clients through direct contact, word - of - mouth.
• Negotiating with clients to secure the most attractive prices.
• Conduct promotional activities and devise marketing strategies.
• Collaborating with the development team to ensure project deliverables meet client expectations.

Requirements:  

• Should possess market and domain knowledge.
• Proactive in communicating with the clients.
• Ability to generate revenue by identifying pain points and suggesting suitable services.
• Good written and verbal communication, as well as presentation skills.
• Resourceful, with outstanding research 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: 

• MBA /B.Tech (Minimum 60% Score)
• Fresher / Experienced

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: 

• Programming skills: Be proficient in programming languages such as PySpark, Python, SQL, as well Bash and UNIX coding for rapid data ingestion. 
• Data Modeling skills: Be able to design and implement data models that can be used to store and query large volumes of enterprise data across multiple systems. 
• Analysis skills: Be able to use statistical and machine learning techniques to analyze large amounts of data, including experience with Spark and Hadoop. 
• Cloud Computing skills: Big Data Developers will ideally possess certified credentials on cloud computing platforms such as Amazon Web Services (AWS) and Microsoft Azure, including experience with services such as Glue and Lambda.

Notice Period:

• Immediate to 30 days, we can consider someone around 6 months to 1 Years gap, need technical strong profiles.

Good to Have:

• Hive, Python 

Must have skills:  

• AWS (S3, EMR, Athena, Glue, Lambda, Cloud Formation, Redshift), PySpark, Unix, streaming (Kafka)

Soft Skills:  

• Strong Communication skills, ability to lead offshore development teams. 

Certification:

• Preferred - AWS Data Analytics Specialty Certification 
• At least - AWS Certified Developer 

Experience: 4years to 9 Years

Roles & Responsibilities:

• Assist in data collection, cleaning, and preprocessing tasks.
• Conduct exploratory data analysis (EDA) and create meaningful visualizations.
• Build and implement machine learning models using various algorithms (supervised/unsupervised learning).
• Participate in AI-driven projects, including deep learning and natural language processing (NLP).
• Collaborate with team members to deliver high-quality insights and solutions.
• Document and present findings to stakeholders clearly and effectively.

Skills & Qualifications:

• Completed a data science course or equivalent certification.
• Strong understanding of data science concepts such as data processing, statistical analysis, and exploratory data analysis.
• Experience with machine learning algorithms (regression, classification, clustering) and model evaluation techniques.
• Proficiency in programming languages such as Python, R, and/or SQL.
• Familiarity with tools like Pandas, NumPy, Matplotlib, Seaborn, and machine learning libraries (TensorFlow, Scikit-learn, etc.).
• Good understanding of AI concepts (e.g., deep learning, neural networks).
• Strong problem-solving skills, analytical thinking, and attention to detail.
• Ability to work collaboratively in a fast-paced team environment.

Eligibility Criteria:

• Fresh graduates degree in Data Science, Computer Science, Mathematics, or related fields.
• Available for a full-time internship for 3 months.
• Knowledge of AI and Data Science concepts is essential.
   

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: 

• Responsible for managing all aspects of business data including website traffic, leads, sales & final P&L. 
• Design and develop robust, scalable, and efficient data pipelines and ETL processes to extract, transform, and load data from various sources into data warehouses or data lakes. 
• Build and maintain data infrastructure, including data warehouses and data processing frameworks. 
• Ensure data quality and integrity by implementing appropriate data validation, monitoring, and error handling mechanisms. 
• Develop and maintain data models and schemas to support data analytics and reporting needs. 
• Identify and address data-related issues and bottlenecks, ensuring the smooth operation of data pipelines and systems. 
• Construct and maintain dashboards that allow users to understand performance and generate Insights. 
• Collaborate closely with cross-functional teams, including engineering, product management, and business stakeholders, to ensure alignment between business objectives and technical solutions. 

Must-Have: 

• Must have experience with Google cloud platform (Bigquery, Dataproc, Cloud functions) 
• Solid understanding of SQL and No SQL Databases like Postgresql & MongoDB. 
• Strong proficiency in Python with experience in data manipulation and scripting. 
• Hands-on experience with ETL tools and data integration using third party APIs. 
• Proven experience with data modelling & report automation. 
• Must have experience in designing, building and maintaining database & data warehouses. 
• Any further experience with Google Apps Script and Google AppSheet. 

Good to Have: 

• Any prior experience with Power BI. 
• Understanding of real time data streaming technologies.