Job Title: Data Science Intern (Paid) Company: Coreline solutions Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About Coreline solutions Coreline solutions provides aspiring professionals with hands-on experience in data science, offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms. ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions. Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field. 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred). 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib). 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects. ✔ Certificate of Internship & Letter of Recommendation. ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 27th May 2025 Equal Opportunity Coreline solutions is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Show more Show less

In Norconsulting we are currently looking for an AI developer to join us in Chennai in a freelancer opportunity for a major Banking organization. Duration : long term Location : Chennai Rate : 110 USD/day (around 2200 USD per month) Type of assignment: Full-time (8h/day, Monday to Friday) SKILLS / EXPERIENCE REQUIRED AI Developer • Large Language Models (LLMs) & Prompt Engineering: Experience working with transformer-based models (e.g., GPT, BERT) and crafting effective prompts for tasks like summarization, text classification and document understanding. • Azure Document Intelligence: Hands-on experience with Azure AI Document Intelligence for extracting structured data from unstructured documents (invoices, forms, contracts). • Model Development & Evaluation: Strong foundation in ML algorithms, model evaluation metrics, and hyperparameter tuning using tools like Scikit-learn, XGBoost, or PyTorch. • MLOps (Machine Learning Operations): Proficient in building and managing ML pipelines using Azure ML, MLflow, and CI/CD tools for model training, deployment, and monitoring. • Azure Machine Learning (Azure ML): Experience with Azure ML Studio, automated ML, model registry, and deployment to endpoints or containers. • Azure Functions & Serverless AI: Building event-driven AI workflows using Azure Functions for real-time inference, data processing, and integration with other Azure services. • Programming Languages: Strong coding skills in Python (preferred), with knowledge of libraries like NumPy, Pandas, Scikit-learn, and Matplotlib. • Database & Data Lakes: Experience with SQL and NoSQL databases, and integration with data lakes for AI pipelines. • DevOps & Git Integration: Experience with Azure DevOps for version control, testing, and continuous integration of AI workflows. WBGJP00012309 Show more Show less

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 27th May 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds. Show more Show less

🧠 Data Science Intern (Remote) 🌐 🔍 Are you curious about machine learning, predictive models, and using data to solve real-world problems? Ready to gain hands-on experience in Data Science from anywhere in the world? This is your chance! 📍 Location: Virtual / Remote 💼 Type: Internship (Unpaid) 🕒 Duration & Working Hours: Flexible – Work on your own schedule! 🌟 About the Role: We’re looking for a passionate and driven Data Science Intern to join our remote team! This internship is an exciting opportunity for students, recent graduates, or self-learners who want to apply their data science skills in real projects and make a measurable impact. You'll work on datasets, build models, and generate actionable insights using tools and techniques from the world of data science — all within a flexible, remote environment. 🚀 What You’ll Gain: ✅ 100% Remote – Work from anywhere 🌍 ✅ Flexible Hours – You decide when to work ⏰ ✅ Hands-On Projects – Apply your data science skills to real challenges 📊 ✅ Portfolio Development – Boost your resume with real experience 📈 ✅ Mentorship – Learn from a supportive and collaborative team 👥 👀 Who We’re Looking For: 🎓 Students or recent graduates in Computer Science, Data Science, Engineering, or related fields 📈 Eager to explore machine learning, data modeling, and analysis 🛠️ Experience with Python, pandas, NumPy, scikit-learn, or similar tools 📊 Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, or Tableau) 🧠 Problem-solving mindset with attention to detail 💬 Independent, proactive, and good at remote collaboration 📅 Apply By: 5th June If you're ready to dive into data and gain practical experience in data science, we’d love to hear from you! Let’s turn data into discoveries together 💡📊 Show more Show less

Job Title: Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 27th May 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀 Show more Show less

Job Title: AI Intern Location: Kochi Role Overview We are looking for a passionate and curious AI Intern to join our Data Science & AI team. This is a hands-on internship designed for students or recent graduates who want to apply their academic experience in real-world AI and data-driven projects. You'll gain exposure to real datasets, machine learning model development, and generative AI tools. Key Responsibilities Assist in data collection, wrangling, cleaning, and pre-processing. Perform Exploratory Data Analysis (EDA) to extract actionable insights. Support the development and evaluation of machine learning models. Work on tasks involving data mining and association rule mining. Participate in optimization and performance tuning of ML models. Experiment with generative AI technologies including tools like ChatGPT. Document processes, results, and learning throughout the internship. Collaborate closely with data scientists, product teams, and developers. Preferred Skills & Qualifications Pursuing or recently completed a degree in Computer Science, Data Science, AI, or related field. Hands-on project experience (college-level or self-initiated) in any of the following Is Highly Beneficial Data analysis and wrangling Association rule mining Exploratory Data Analysis (EDA) Data science pipeline and model building Optimization algorithms Generative AI (e.g., working with GPT models, prompt engineering) Familiarity with Python and libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and TensorFlow or PyTorch. Ability to communicate findings clearly with both technical and non-technical stakeholders. Bonus (Nice to Have) Experience with large language models (LLMs), OpenAI’s ChatGPT or similar tools. Knowledge of cloud platforms like AWS, GCP, or Azure. Exposure to MLOps tools or workflows. Note: This is a paid internship.Skills: machine learning model development,exploratory data analysis (eda),data wrangling,optimization algorithms,association rule mining,data science,tensorflow,pytorch,generative ai,data analysis,numpy,matplotlib,python,exploratory data analysis,scikit-learn,pandas Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely even if theyre daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You'll Be Doing Lead development of advanced machine learning and statistical models Design scalable data pipelines using PySpark Perform data transformation and exploratory analysis using Pandas, Numpy and SQL Build, train and fine tune machine learning and deep learning models using TensorFlow and PyTorch Mentor junior engineers and lead code reviews, best practices and documentation. Designing and implementing big data, streaming AI/ML training and prediction pipelines. Translate complex business problems into data driven solutions. Promote best practices in data science, and model governance. Stay ahead with evolving technologies and guide strategic data initiatives. What we're looking for You'll Need To Have Bachelor's degree or four or more years of work experience. Experience in Python, PySpark and SQL. Strong proficiency in Pandas, Numpy, Excel, Plotly, Matplotlib, Seaborn, ETL, AWS and Sagemaker Experience in Supervised learning models: Regression, Classification and Unsupervised learning models: Anomaly detection, clustering. Extensive experience with AWS analytics services, including Redshift, Glue, Athena, Lambda, and Kinesis. Knowledge in Deep Learning Autoencoders, CNN. RNN, LSTM, hybrid models Experience in Model evaluation, cross validation, hyper parameters tuning Familiarity with data visualization tools and techniques. Even better if you have one or more of the following: Experience with machine learning and statistical analysis. Experience in Hypothesis testing. Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders. If our company and this role sound like a fit for you, we encourage you to apply even if you don't meet every "even better" qualification listed above. #TPDRNONCDIO Where youll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Locations Chennai, India Bangalore, India Show more Show less

Job Title: Data Science Intern Job Type: Internship (3 to 6 Months) Location: Remote / Pune, India Stipend: Unpaid (with opportunity for full-time offer upon completion) Work Mode: Remote (with optional in-office collaboration) About Coreline Solutions Coreline Solutions is an innovation-led IT services and consulting company helping organizations leverage the power of data and technology. We specialize in custom software development, digital transformation, and building intelligent data solutions. With a culture rooted in learning and growth, we offer opportunities that challenge, empower, and elevate your career. 🌐 Website: [ www.corelinesolutions. site] 📧 Email: hr@corelinesolutions.site 📍 Address: 2nd Floor, TechHub Plaza,Pune, India About the Role We are looking for a highly motivated Data Science Intern to join our team. This is an exciting opportunity for students or recent graduates who are eager to apply theoretical knowledge to real-world datasets and gain hands-on experience in data science projects. You’ll work closely with our data science and engineering teams on impactful initiatives involving predictive modeling, data wrangling, and algorithm development. Key Responsibilities Assist in designing and building machine learning models. Collect, clean, and preprocess structured and unstructured datasets. Perform exploratory data analysis (EDA) to identify patterns and insights. Support data science projects by implementing algorithms and validating results. Work on statistical modeling, feature engineering, and model evaluation. Contribute to the development of automation tools and pipelines. Qualifications Pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Engineering, or a related field. Strong foundation in Python and relevant libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.). Understanding of statistics, linear regression, classification, clustering, and model evaluation. Experience with Jupyter Notebooks, Git, and collaborative coding. Basic knowledge of SQL and database systems. Strong problem-solving and analytical thinking skills. Preferred (Nice to Have): Exposure to deep learning frameworks like TensorFlow or PyTorch. Knowledge of cloud platforms (AWS, Google Cloud, or Azure). Experience with real-world datasets or open-source projects. Understanding of business problem framing and solution deployment. What You’ll Gain Exposure to real-time data science problems and solutions. Mentorship and feedback from experienced data scientists and engineers. Access to in-house training materials and tools. Internship Certificate on successful completion. Letter of Recommendation for exceptional performance. Strong chance for full-time placement based on performance. Equal Opportunity Statement Coreline Solutions is an equal opportunity employer . We are committed to fostering an inclusive workplace where diversity is valued and discrimination of any kind is not tolerated. Application Instructions Send your resume and a short cover letter hr@corelinesolutions.site with the subject line: “Application for Data Science Intern – [Your Full Name]” 💼 Stay connected and follow our LinkedIn page to keep up with more openings and updates from Coreline Solutions. Show more Show less

Company Description 👋🏼 We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 38 countries). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience 11+ Years. Strong working experience in Data Science Fundamentals, Data Analysis & Visualization, Statistics & Probability, SQL, Model Packaging & Deployment. Hands-on experience with Generative AI tools and frameworks. Strong proficiency in Python, R, or Scala, with experience in libraries such as Pandas, NumPy, Matplotlib, Seaborn, or Altair. Deep knowledge of machine learning techniques (supervised, unsupervised, ensemble methods), optimization algorithms (e.g., linear programming, metaheuristics), and constraint satisfaction. Understanding of evaluation metrics for LLMs and best practices to build production-ready GenAI apps. Experience with cloud platforms (e.g., AWS, Azure, GCP) for ML model training and deployment. Familiarity with data engineering tools and workflows including ETL pipelines and distributed systems. Excellent interpersonal and communication skills, with the ability to influence stakeholders and collaborate effectively across functions. RESPONSIBILITIES: Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the client’s requirements. Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Show more Show less

Senior Advisor - Data Science Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as a Senior Advisor on our Data Science Team in Bangalore What You’ll Achieve As a Data Science Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines. You will: Partner with internal and external teams to understand customer requirements and develop proposals Conduct interactions with external customers to gather project requirements, provide status updates and share analytical insights Implement preliminary data exploration and data preparation steps for model development/validation Apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights. Solution, build, deploy and setup monitoring for models. Thrive in a dynamic and sometimes ambiguous environment, working with minimal supervision while delivering action items in a timely fashion. Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Essential Requirements 8-10 years of related experience with proficiency in NLP, Machine Learning, Computer Vision, and GenAI. Working experience in data visualization (e.g., Power BI, matplotlib, plotly). Hands-on experience with CNN, LSTM, YOLO, and database skills including SQL, Postgres SQL, PGVector, and ChromaDB. Proven experience in MLOps and LLMOps, with a strong understanding of ML lifecycle management. Expertise with large language models (LLMs), prompt engineering, fine-tuning, and integrating LLMs into applications for natural language processing (NLP) tasks. Desirable Requirements Strong product/technology/industry knowledge and familiarity with streaming/messaging frameworks (e.g., Kafka, RabbitMQ, ZeroMQ).Experience with cloud platforms (e.g., AWS, Azure, GCP) Experience with web technologies and frameworks (e.g., HTTP/REST/GraphQL, Flask, Django).Skilled in programming languages like Java or JavaScript. Who We Are We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Application closing date: 2 June 2025 Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here. Job ID: R260848 Show more Show less

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 26th May 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds. Show more Show less

Job Title: Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 26th May 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀 Show more Show less

CryptoChakra is a leading cryptocurrency analytics and education platform committed to simplifying digital asset markets for traders, investors, and enthusiasts worldwide. By integrating advanced predictive analytics with immersive learning resources, we empower users to navigate the volatile crypto landscape with confidence. Leveraging machine learning, blockchain data, and curated educational content, we provide hyper-accurate price forecasts, risk management frameworks, and comprehensive market analysis guides. Our mission is to democratize crypto accessibility through cutting-edge technology and user-centric education, fostering informed decision-making for individuals globally. Position: Fresher Data Analyst (Crypto/Blockchain) Intern Remote | Full-Time Internship | Compensation: Paid/Unpaid based on suitability Role Summary Join CryptoChakra’s analytics team to decode blockchain data and transform it into actionable market insights. This role offers hands-on experience in crypto-specific data modeling, statistical analysis, and predictive analytics, with mentorship from industry experts. Key Responsibilities Collect, clean, and analyze cryptocurrency market data from exchanges (Binance, Coinbase) and blockchain explorers (Etherscan). Develop statistical models to identify trends in trading volumes, wallet activity, and DeFi protocol performance. Create interactive dashboards (Tableau, Power BI) to visualize insights for educational content and stakeholder reports. Collaborate with data scientists to refine ML-driven price prediction algorithms. Present findings to cross-functional teams, translating technical results into strategic recommendations. Qualifications Technical Skills Proficiency in Python/R for data manipulation (Pandas, NumPy) and SQL for querying large datasets. Foundational understanding of statistics (regression, hypothesis testing) and data modeling techniques. Experience with data visualization tools (Tableau, Matplotlib) to communicate insights effectively. Professional Competencies Strong analytical mindset with attention to detail. Ability to articulate complex concepts to non-technical stakeholders. Self-motivated with adaptability to remote collaboration tools (Slack, Zoom, Jira). Preferred (Not Required) Academic or hobbyist exposure to blockchain technology, DeFi, or crypto trading. Familiarity with cloud platforms (AWS, GCP) or big data tools (Spark). Pursuing or holding a degree in Data Science, Computer Science, Statistics, or related fields. What We Offer Skill Development: Master crypto-specific analytics tools and predictive modeling techniques. Portfolio Impact: Contribute to projects featured on CryptoChakra’s platform. Flexibility: Remote-first culture with mentorship tailored to your learning pace. Show more Show less

Position: Data Analyst Intern (Full-Time) Company: Lead India Location: Remote Stipend: ₹25,000/month Duration: 1–3 months (Full-Time Internship) About Lead India: Lead India is a forward-thinking technology company that helps businesses make smarter decisions through data. We provide meaningful internship opportunities for emerging professionals to gain real-world experience in data analysis, reporting, and decision-making. Role Overview: We are seeking a Data Analyst Intern to support our data and product teams in gathering, analyzing, and visualizing business data. This internship is ideal for individuals who enjoy working with numbers, identifying trends, and turning data into actionable insights. Key Responsibilities: Analyze large datasets to uncover patterns, trends, and insights Create dashboards and reports using tools like Excel, Power BI, or Tableau Write and optimize SQL queries for data extraction and analysis Assist in data cleaning, preprocessing, and validation Collaborate with cross-functional teams to support data-driven decisions Document findings and present insights to stakeholders Skills We're Looking For: Strong analytical and problem-solving skills Basic knowledge of SQL and data visualization tools (Power BI, Tableau, or Excel) Familiarity with Python for data analysis (pandas, matplotlib) is a plus Good communication and presentation skills Detail-oriented with a willingness to learn and grow What You’ll Gain: ₹25,000/month stipend Real-world experience in data analysis and reporting Mentorship from experienced analysts and developers Remote-first, collaborative work environment Potential for a Pre-Placement Offer (PPO) based on performance Show more Show less

Key Responsibilities: Design and develop machine learning and deep learning models for tasks such as text classification , entity recognition , sentiment analysis , and document intelligence . Build and optimize NLP pipelines using models like BERT , GPT , LayoutLM , and Transformer architectures . Implement and experiment with Generative AI techniques using frameworks like Hugging Face , OpenAI APIs , and PyTorch/TensorFlow . Perform data collection, web scraping , data cleaning , and feature engineering for structured and unstructured data sources. Deploy ML models using Docker , Kubernetes , and implement CI/CD pipelines for scalable and automated workflows. Use cloud services (e.g., GCP , Azure AI ) for model hosting, data storage, and compute resources. Collaborate with cross-functional teams to integrate ML models into production-grade applications. Apply MLOps practices including model versioning, monitoring, retraining pipelines, and reproducibility. Technical Skills: Languages & Libraries: Python, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch, OpenCV, Seaborn, XGBoost, NLTK, Hugging Face, BeautifulSoup, Selenium, Scrapy Modeling & NLP: Logistic Regression, Random Forest, SVM, CNN, RNN, Transformers, BERT, GPT, LLMs Tools & Platforms: Git, Docker, Kubernetes, CI/CD, Azure AI Services, GCP, Vertex AI Concepts: Machine Learning, Deep Learning, MLOps, Generative AI, Text Analytics, Predictive Analytics Databases & Querying: Basics of SQL Other Skills: Data Visualization (Matplotlib, Seaborn), Model Optimization, Version Control

Job Description At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. Position Overview: Boeing Test and Evaluation team is currently looking for Associate BI Analyst to join their team in Bengaluru, KA. BI Analyst at Boeing make sure that products at the world’s largest aerospace company continue to meet the highest standards. From quality and reliability to safety and performance, their expertise is vital to the concept, design and certifications of a wide variety of commercial and military systems. Position Responsibilities: Develop and maintain high-quality Python code for data analysis and data visualization. Utilize Tableau to create interactive and insightful dashboards and reports for data-driven decision-making. Collaborate closely with data scientists and business analysts to understand requirements and translate them into effective software and visualization solutions. Participate in code reviews, ensuring adherence to best practices and standards. Optimize existing algorithms and systems for improved performance and scalability. Contribute to the integration of machine learning models into production systems. Troubleshoot and resolve issues related to data quality, performance, and visualization. Stay abreast of new technologies and methodologies in software development, data science, and business intelligence. Document software developments and maintain software documentation. Prepare data for analysis, including cleansing, conditioning, transforming, handling missing fields, identifying new feature variables, and handling multivariate data. Monitor production and deployment. Prepare decision support visualizations and reports, algorithms, models, dashboards, and/or tools. Support the development of software applications integrated with insights obtained from data science and business analysis activities. Employer will not sponsor applicants for employment visa status. Basic Qualifications (Required Skills/Experience): Bachelor's degree in Computer Science, Engineering, Business Analytics, or a related field or higher is required. Minimum 5+ years of professional experience in Python development and Tableau. Position requires hands-on experience in working with SQL, Python, R, Data modeling, and Tableau. Solid understanding of software development principles and lifecycle. Familiarity with data structures, algorithms, system design, and business intelligence concepts. Experience with Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn. Knowledge of version control systems, preferably Git. Strong problem-solving skills and ability to work in a team environment. Excellent verbal and written communication skills. Preferred Qualifications (Desired Skills/Experience): Candidate must be a self-starter with a positive attitude, high ethics, and a track record of working independently in developing the analytics solutions Must be able to work collaboratively with very strong teaming skills. Must be willing to work flexible hours (early or late as needed) to interface with Boeing personnel around the world. Develop and maintain relationships / partnerships with customers, stakeholders, peers, and partners to develop collaborative plans and execute on projects. Proactively seek information and direction to successfully complete the statement of work. Demonstrate strong written, verbal and interpersonal communication skills. Be fluent in written and spoken English, and have high degree of proficiency with MS Office tools to prepare comprehensive reports, presentations, proposals, and Statements of Work. Preferred experience in handling engineering data sets such as component failure data, engineering production process data, engineering test data, time series data etc. Preferred experience in deploying data science solutions on cloud platforms like PCF, GCP, etc Experience in C# Language or ReactJS is a huge plus. Typical Education & Experience: Bachelor or Master degree in Computer Science/ Engineering (Software / Instrumentation / Electronics / Electrical / Mechanical or equivalent discipline) Relocation: This position offers relocation based on candidate eligibility within India. Applications for this position will be accepted until May. 30, 2025 Export Control Requirements: This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews. Show more Show less

About Us: Analytics Circle is a leading institute dedicated to empowering individuals with in-demand data analytics skills. We are passionate about bridging the industry-academia gap through practical, hands-on training in the most sought-after tools and technologies in data analytics. Job Description: We are looking for a highly skilled and passionate Data Analyst Trainer to join our growing team. The ideal candidate should have real-world industry experience and a strong command over Advanced Excel, Power BI, Tableau, SQL, and Python. As a trainer, you will be responsible for delivering engaging and insightful sessions to our learners, preparing them for careers in data analytics. Key Responsibilities: Deliver interactive and practical training sessions on: Advanced Excel Power BI Tableau SQL Python for Data Analysis Design and update course materials, case studies, and hands-on projects based on current industry trends. Evaluate student progress through assignments, projects, and assessments. Provide one-on-one mentorship and support to learners when needed. Assist in curriculum development and continuous improvement of training content. Stay updated with the latest developments in data analytics tools and technologies. Requirements: Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, or a related field. Minimum 3+ years of experience in the data analytics domain. Proven training or teaching experience is preferred. Proficiency in: Excel (including pivot tables, lookups, macros, dashboards) Power BI (DAX, Power Query, data modeling) Tableau (data visualization, dashboard building) SQL (queries, joins, data manipulation) Python (Pandas, NumPy, Matplotlib, data analysis workflows) Strong communication and presentation skills. Passion for teaching and mentoring. Nice to Have: Industry certifications in relevant tools (e.g., Microsoft, Tableau, Python). Experience conducting online training/webinars. Job Types: Full-time, Part-time, Permanent Pay: ₹10,000.00 - ₹50,000.00 per month Schedule: Day shift Supplemental Pay: Commission pay Performance bonus Application Question(s): Where do you live in Delhi? Education: Bachelor's (Preferred) Experience: Data analytics: 2 years (Preferred) Location: Laxmi Nagar, Delhi, Delhi (Preferred) Work Location: In person

Job Title: Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 25th May 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀 Show more Show less

Job Description You are a strategic thinker passionate about driving solution. You have found the right team. As an Associate within the VCG team, your primary responsibility will be to work on automation and redesign of existing implementations using Python. Alteryx skills are considered a plus. Job Responsibilities Automate Excel tasks by developing Python scripts with openpyxl, pandas, and xlrd, focusing on data extraction, transformation, and generating reports with charts and pivot tables. Design and deploy interactive web applications using Streamlit, enabling real-time data interaction and integrating advanced analytics. Use Matplotlib and Seaborn to create charts and graphs, adding interactive features for dynamic data exploration tailored to specific business needs. Design intuitive user interfaces with PyQt or Flask, integrating data visualizations and ensuring secure access through authentication mechanisms. Perform data manipulation and exploratory analysis using Pandas and NumPy, and develop data pipelines to maintain data quality and support analytics. Write scripts to connect to external APIs, process data in JSON and XML formats, and ensure reliable data retrieval with robust error handling. Collaborate with cross-functional teams to gather requirements, provide technical guidance, and ensure alignment on project goals, fostering open communication. Demonstrate excellent problem-solving skills and the ability to troubleshoot and resolve technical issues. Adhere to the control, governance, and development standards for intelligent solutions. Strong communication skills and the ability to work collaboratively with different teams. Required Qualifications, Capabilities, And Skills Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience in Python programming and automation. Experience with Python libraries such as Pandas, NumPy, PyQt, Streamlit, Matplotlib, Seaborn, openpyxl, xlrd, Flask, PyPDF2, pdfplumber and SQLite . Analytical, quantitative aptitude, and attention to detail. Strong verbal and written communication skills. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Global Finance & Business Management works to strategically manage capital, drive growth and efficiencies, maintain financial reporting and proactively manage risk. By providing information, analysis and recommendations to improve results and drive decisions, teams ensure the company can navigate all types of market conditions while protecting our fortress balance sheet. Show more Show less

Job Summary: We are seeking a passionate and experienced Data Analyst Mentor to guide and mentor aspiring data analysts in developing core analytical and technical skills. You will play a key role in shaping the next generation of data professionals by delivering structured training, providing practical insights, and ensuring learners are industry-ready. Key Responsibilities: Conduct hands-on training sessions in Excel, Power BI, MySQL, Python (Numpy, Pandas, Matplotlib, Seaborn), and PySpark . Design and deliver engaging learning modules, exercises, and real-world projects. Provide mentorship to students, assisting with doubts, career guidance, and project reviews. Assess student performance through assignments, quizzes, and project evaluations. Stay up to date with industry trends and continuously improve training content. Collaborate with curriculum developers and instructional designers for content refinement. Participate in webinars, bootcamps, and hackathons as needed. Track student progress and provide timely feedback. Required Skills & Qualifications: Bachelor's/Master’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 2+ years of professional experience in data analysis or data science roles. Proficiency in: Excel (Formulas, Pivot Tables, Dashboards) Power BI (Data Modeling, DAX, Visualizations) MySQL (Queries, Joins, Aggregations) Python (especially with libraries like Numpy, Pandas, Matplotlib, Seaborn) PySpark (RDDs, DataFrames, Spark SQL) Strong understanding of data wrangling, visualization, and storytelling. Excellent communication and presentation skills. Prior teaching, mentoring, or training experience is a strong plus. Preferred Qualifications: Certification in Data Analytics, Power BI, or related technologies. Experience mentoring in bootcamps or online education platforms. Show more Show less

Job Description: Data Analytics Trainer Position: Data Analytics Trainer Location: 33/A, E TV Swamy Rd, R.S. Puram, Coimbatore, Tamil Nadu 641002 Job Type: Full-time Experience: 1+ YEARS Salary: 25000-30000 Job Overview: We are looking for a skilled Data Analytics Trainer to deliver high-quality training sessions to students and professionals. The ideal candidate should have a strong background in data analytics, proficiency in industry-leading tools, and a passion for teaching. Key Responsibilities: Conduct engaging and interactive training sessions on data analytics concepts, tools, and techniques . Develop and deliver structured course content, training materials, and hands-on projects. Teach key tools and technologies such as Excel, SQL, Python, Power BI, and Machine Learning fundamentals . Guide students through real-world datasets, case studies, and problem-solving exercises. Assess and evaluate trainees' progress through assignments, quizzes, and projects. Stay updated with industry trends and continuously improve training content. Provide mentorship and career guidance to learners. Required Skills & Qualifications: Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or a related field. Proven experience in data analytics and teaching/training experience is a plus. Strong knowledge of SQL, Python (Pandas, NumPy, Matplotlib, Seaborn), and data visualization tools (Tableau/Power BI) . Experience in working with databases, ETL processes, and big data concepts is an advantage. Excellent communication and presentation skills. Ability to explain complex concepts in a simple and effective manner. Preferred Qualifications: Certifications in Data Analytics, Machine Learning, or related areas (e.g., Google Data Analytics, Microsoft Power BI, Tableau, etc.). Hands-on experience with real-world projects and case studies. Experience in conducting corporate training or online education programs. Why Join Us? Opportunity to train and mentor aspiring data professionals. Work in a dynamic and growing educational environment. Competitive salary and career growth opportunities. If you are passionate about teaching and have expertise in Data Analytics , we would love to hear from you! How to Apply: Send your resume to Bluekodeacademycbe@gmail.com with the subject "Application for Data Analytics Trainer." Job Type: Full-time Pay: ₹25,000.00 - ₹30,000.00 per month Benefits: Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Experience: Data analytics trainer: 1 year (Required) Work Location: In person

About Company: Our client is a trusted global innovator of IT and business services. They help clients transform through consulting, industry solutions, business process services, digital & IT modernization and managed services. Our client enables them, as well as society, to move confidently into the digital future. We are committed to our clients’ long-term success and combine global reach with local client attention to serve them in over 50 countries around the globe. Job Description: Job Title: Python with Gen AI Developer Location : Pan India Experience: 5+ yrs. Employment Type: Contract to hire. Work Mode: Hybrid Notice Period: - Immediate joiners only Roles and Responsibilities: • 5 to 6 years’ Experience in developing Python frameworks such DL, ML, Fast API, Flask • At least 3 years of experience in developing generative AI models using python and relevant frameworks. • Strong knowledge of machine learning, deep learning, and generative AI concepts and algorithms. • Proficient in python and common libraries such as numpy, pandas, matplotlib, and scikit-learn. • Familiar with version control, testing, debugging, and deployment tools. • Excellent communication and problem-solving skills. • Curious and eager to learn new technologies and domains. Show more Show less

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 25th May 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds. Show more Show less

Experience : 4 – 7 years Location : Pune, India (Work from Office) Job Description Strong background in machine learning (unsupervised and supervised techniques) with significant experience in text analytics/NLP. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc. Strong programming ability in Python with experience in the Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK, etc. Good knowledge of database query languages like SQL and experience with databases (PostgreSQL/MySQL/ Oracle/ MongoDB). Excellent verbal and written communication skills. Excellent analytical and problem-solving skills. Degree in Computer Science, Engineering or relevant field is preferred. Proven Experience as Data Analyst or Data Scientist. Good To Have Familiarity with Hive, Pig and Scala. Experience in embeddings, Retrieval Augmented Generation (RAG), Gen AI Experience with Data Visualization Tools like matplotlib, plotly, seaborn, ggplot, etc. Experience with using cloud technologies on AWS/ Microsoft Azure. Apply for this position Upload Resume* Show more Show less

Job Overview We are looking for an experienced Computer Vision Engineer with expertise in image processing, machine learning, and deep learning. The ideal candidate should have hands-on experience developing and deploying computer vision algorithms and deep learning models using Python, OpenCV, and YOLO, along with proficiency in CUDA and NumPy. This role involves research, model optimization, and real-world deployment of cutting-edge computer vision Responsibilities : Develop and deploy computer vision algorithms and deep learning models for diverse applications. Design and implement computer vision models using state-of-the-art techniques and frameworks. Explore and analyze unstructured data like images through image processing techniques. Analyze, evaluate, and optimize existing computer vision systems for improved performance and accuracy. Test and validate computer vision code and models, ensuring robustness and reliability. Research and implement new computer vision technologies to stay at the forefront of the field. Collaborate with cross-functional teams to develop innovative solutions meeting project requirements. Monitor the performance and accuracy of deployed computer vision models, making necessary adjustments. Maintain and update computer vision systems to ensure their continued functionality and relevance. Provide technical support and guidance to team members and customers using computer vision : 5 years of experience as a Computer Vision Engineer. Bachelor's degree in Computer Science or a related field. Proven experience in developing and deploying computer vision systems. Strong knowledge of computer vision algorithms, libraries, and tools such as: OpenCV, TensorFlow, PyTorch, Keras, NumPy, scikit-image, Matplotlib, Seaborn, YOLO, etc. Familiarity with GPU acceleration and optimization tools like CUDA, OpenCL, OpenGL. Expertise in computer vision applications, including : Object detection, image classification, text detection & OCR, face detection, generative models, video analytics, object tracking, and model Experience with runtime AI frameworks such as ONNX, TensorRT, OpenVINO. Hands-on experience with cloud platforms (AWS, Azure), Docker, Kubernetes, and GitHub. Experience in training models using GPU computing or cloud-based environments. Familiarity with machine learning and deep learning concepts and frameworks. Strong problem-solving and analytical skills. Ability to work independently in a fast-paced environment and collaborate effectively in a Qualifications : Experience in real-time video processing and streaming analytics. Knowledge of Edge AI and deployment on embedded systems. Exposure to 3D vision, SLAM, and depth estimation. Contributions to open-source computer vision projects. (ref:hirist.tech) Show more Show less