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Job Description:

We are looking for an AI Intern - R&D to join our research team and contribute to cutting-edge AI innovations. This role is ideal for individuals with a strong foundation in data science, machine learning, and Generative AI, who are eager to explore Large Language Models (LLMs), Prompt Engineering, and AI-driven solutions.

Requirements:

• 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).

Key Skills and Qualifications:

• 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.

Preferred skills:

Hands-on Experience: Gain practical experience by working with cutting-edge AI technologies like Generative AI, Computer Vision, and Machine Learning/Deep Learning in Academic projects.

Ideal Candidate Qualities:

• 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.

Job Description:

We are seeking an AI Intern - DevOps to assist in designing, optimizing, and automating the deployment and scaling of AI applications. This role is ideal for individuals with experience in CI/CD pipelines, cloud platforms, and infrastructure automation, looking to gain hands-on exposure to AI-driven workflows.

Requirements:

• 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.

Key Skills and Qualifications:

• 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.

Preferred skills:

Hands-on Experience: Gain practical experience by working with cutting-edge AI technologies like Generative AI, Computer Vision, and Machine Learning/Deep Learning in Academic projects.

Ideal Candidate Qualities:

• 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.

Job Description:

We are looking for an AI Intern - Backend to join our team and contribute to the development of scalable backend services that support AI and Machine Learning workflows. This role is ideal for individuals with a strong Python background, experience in API development, and an understanding of SQL/NoSQL databases.

Requirements:

• 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.

Key Skills and Qualifications:

• 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.

Preferred skills:

Hands-on Experience: Gain practical experience by working with cutting-edge AI technologies like Generative AI, Computer Vision, and Machine Learning/Deep Learning in Academic projects.

Ideal Candidate Qualities:

• 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.

Job Description:

We are seeking AI Interns - GenAI to join our team and gain hands-on experience in Generative AI and Machine Learning. This role is ideal for individuals with a strong foundation in data science, Python, and SQL, who are eager to explore Generative AI models, prompt engineering, and AI-driven applications.

Requirements:

• 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).

Key Skills and Qualifications:

• 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.

Preferred skills:

Hands-on Experience: Gain practical experience by working with cutting-edge AI technologies like Generative AI, Computer Vision, and Machine Learning/Deep Learning in Academic projects.

Ideal Candidate Qualities:

• 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.

Job Description:

We are looking for an enthusiastic AI Intern - Frontend Developer to join our team. This role offers an exciting opportunity to work on cutting-edge AI technologies while enhancing frontend development skills. The ideal candidate should be proficient in React.js, API integration, and version control while having a keen interest in AI-driven applications.

Requirements:

• Familiarity with Git and experience in version control.
• Knowledge of CI/CD processes and tools for continuous integration and deployment.
• Experience with APIs, including RESTful APIs, for connecting frontend applications to backend services.
• Solid understanding of React.js and modern frontend development techniques.
• Strong problem-solving skills and the ability to work independently and as part of a team

Key Skills and Qualifications:

• Proficiency in Git for version control and code collaboration.
• Solid understanding of React.js and modern frontend development techniques.
• Familiarity with API integration and experience working with RESTful APIs.
• Hands-on experience with cutting-edge AI technologies such as Generative AI, Computer Vision, and Machine Learning/Deep Learning.
• Experience in UI/UX design to ensure the development of user-friendly interfaces.
• Knowledge of Git, JavaScript, and related frontend tools.
• Knowledge of CI/CD processes, tools, and frameworks for automating integration and deployment.

Preferred skills:

Hands-on Experience: Gain practical experience by working with cutting-edge AI technologies like Generative AI, Computer Vision, and Machine Learning/Deep Learning in real-world projects.

Ideal Candidate Qualities:

• 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.

Job Description:

We are seeking a Data Analytics Intern to support our AI & ML team in Radio Monitoring & Audio Tagging. The role involves monitoring radio broadcasts, tagging and categorizing audio data, and assisting in AI model training for fingerprinting and chatbot development. This is an excellent opportunity to gain hands-on experience in AI-driven audio recognition and data analytics while working with cutting-edge technologies in media and broadcasting.

Responsibilities:

• Monitor and analyze radio broadcasts for content classification.
• Clip and tag relevant audio segments such as advertisements, songs, and programs.
• Accurately label and categorize audio data for machine learning training.
• Maintain and update structured datasets in AI-based software.
• Assist in training AI models for fingerprinting and chatbot development.
• Work on data processing and automation tasks with the AI & ML team.
• Use Python libraries (pandas, numpy, seaborn) for data analysis and visualization.
• Generate insights and reports using Power BI.
• Manage relational and non-relational databases for data storage and retrieval.
• Contribute to regional model training for fingerprinting and chatbot applications.

Requirements:

• Educational Background: Pursuing or recently completed a degree in Computer Science, Data Science, AI/ML, Electronics, or a related field.
• Basic knowledge of AI & ML concepts.
• Experience with Python (pandas, numpy, seaborn) for data handling.
• Familiarity with Power BI for data visualization.
• Understanding of relational (SQL) and non-relational databases.
• Strong analytical and problem-solving skills.
• Attention to detail in data labeling and classification.
• Good collaboration and teamwork skills.
• Ability to work independently and take initiative.

What We Offer:

• Hands-on experience in AI & ML-based audio recognition projects.
• Exposure to cutting-edge media and broadcast analytics technologies.
• Mentorship and guidance from industry experts in AI and IoT.
• Opportunity to work in a collaborative and innovative environment.
• Potential for full-time employment based on performance.

Important Note:

• Proficiency in Malayalam and Tamil languages is required.

Internship Details:

• Duration: 3 months (Unpaid)
• Job Opportunity: Potential for full-time employment.

Job Description:

We are looking for Data Scientists with expertise in Machine Learning, NLP, and Deep Learning to develop AI-driven solutions. The role involves building, training, and deploying machine learning models for NLP and Computer Vision applications. Candidates with a passion for AI/ML advancements and strong problem-solving skills are encouraged to apply.

Responsibilities:

• 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.

Requirements:

• 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.

Terms of Hiring:

• Should be Immediately Available for Joining
• Work From Office job
• Agreement for a period of 15 Months

Selection Process:

• Initial CV Screening
• Telephonic Screening
• Technical Telephonic Round
• Tool Test (On need for preferred position)
• HR Manager Round

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