817 Matplotlib Jobs - Page 24

Position: Python Intern specializing in AI Location : Bhopal, Madhya Pradesh (Work from Office) Duration: 3 to 6 Months ✅ Must-Have Skills Core Python Programming: Functions, loops, list comprehensions, classes Error handling (try-except), logging File I/O operations, working with JSON/CSV Python Libraries for AI/ML: numpy, pandas – Data manipulation & analysis matplotlib, seaborn – Data visualization scikit-learn – Classical machine learning models Basic familiarity with tensorflow or pytorch Working knowledge of Openai / Transformers (bonus) AI/ML Fundamentals: Supervised and unsupervised learning (e.g., regression, classification, clustering) Concepts of overfitting, underfitting, and bias-variance tradeoff Train-test split, cross-validation Evaluation metrics: accuracy, precision, recall, F1-score, confusion matrix Data Preprocessing: Handling missing data, outliers Data normalization, encoding techniques Feature selection & dimensionality reduction (e.g., PCA) Jupyter Notebook Proficiency: Writing clean, well-documented notebooks Using markdown for explanations and visualizing outputs Version Control: Git basics (clone, commit, push, pull) Using GitHub/GitLab for code collaboration ✅ Good-to-Have Skills Deep Learning: Basic understanding of CNNs, RNNs, transformers Familiarity with keras or torch.nn for model building Generative AI: Prompt engineering, working with LLM APIs like OpenAI or Hugging Face Experience with vector databases (Qdrant, FAISS) NLP: Tokenization, stemming, lemmatization TF-IDF, Word2Vec, BERT basics Projects in sentiment analysis or text classification Tools & Platforms: VS Code, JupyterLab Google Colab / Kaggle Docker (basic understanding) Math for AI: Linear algebra, probability & statistics Basic understanding of gradients and calculus ✅ Soft Skills & Project Experience Participation in mini-projects (e.g., spam detector, digit recognizer) Kaggle competition experience Ability to clearly explain model outputs and results Documenting findings and creating simple dashboards or reports. Job Types: Full-time, Internship Pay: From ₹5,000.00 per month Schedule: Day shift Work Location: In person

Must have skills required : Machine Learning, Data Visualization, Model evaluation, coding skills, Statistical Data Analysis Good to have skills :LLMs We are looking for a Data Scientist 2 to join our Bangalore team and work on problems in areas like product matching, product tagging, etc. Roles and responsibilities: Understand the business problem and provide data science solutions. Carry out proof of concept for data science problems. Collaborate with product and engineering teams to build data science solutions ( end to end ) Do exploratory data analysis to support existing and future data science projects. Build dashboards to monitor the data science project's performance and communicate the metrics to the business team. Preferred Qualifications: Work Experience : 3+ Years of data science experience Machine Learning Knowledge: Well versed with machine learning concepts and have built ML projects end to end. Understanding of mathematical concepts behind ML models. Statistical Data Analysis: Proficiency in applying statistical techniques to analyze data and generate useful business insights. Data Visualization: Skill in creating meaningful visualizations of complex data sets using tools like Tableau, PowerBI, or Python libraries (e.g., Matplotlib, Seaborn). Model Evaluation and Tuning: Knowledge of techniques for evaluating and improving the performance of machine learning models. Coding Skills: Strong coding skills in Python. Able to write modular and reusable code. Good to have experience of using LLMs for data science solutions .

Introduction A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into solutions. Seeking new possibilities and always staying curious, we are a team dedicated to creating the world’s leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career. IBM’s product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive Your Role And Responsibilities We are seeking an experienced and innovative AI Solution Engineer to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI and Automation solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. In this role, you will be resposible for : Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Customer Engagement and Support: Act as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases. Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Preferred Education Master's Degree Required Technical And Professional Expertise Bachelor’s or Master's degree in Computer Science, Artificial Intelligence, or a related field. 4+ years of experience in designing and delivering AI solutions, with a focus on foundation models, large language models, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services is a plus. Solutioning Experience: Experience in solution architecture and design, translating business requirements into technical specifications, and developing scalable and robust AI solutions. Business Acumen: Ability to understand customer needs and business objectives. Experience in working closely with customers and translating their requirements into effective AI solutions. Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindset: Demonstrate a growth mindset to understand clients’ business processes and cha Preferred Technical And Professional Experience Experience in full AI project lifecycle, from research and prototyping to deployment in production environments. Familiarity with Agile development methodologies Experience with AI and/or data governance Experience with building business automation or digital labor solutions Experience with building customer care solutions/digital assistants Experience with Red Hat OpenShift Experience with Kubernetes Experience with vector DB’s or open file formats like parquet ,avro or orc Show more Show less

We are currently seeking a Senior Python Developer to join our team for an exciting project that involves designing and building RESTful APIs for seamless communication between different components. In this role, you will be responsible for developing and maintaining microservices architecture using containerization tools such as Docker, AWS ECS, and ECR. Additionally, you will be required to demonstrate solutions to cross-functional teams and take ownership of the scope of work for successful project delivery. Responsibilities Develop and maintain microservices architecture using containerization tools such as Docker, AWS ECS, and ECR Design and build RESTful APIs for seamless communication between different components Present and organize demo sessions to demonstrate solutions to cross-functional teams Collaborate with cross-functional teams for successful project delivery Take ownership of the scope of work for successful project delivery Ensure consistency and scalability of applications and dependencies into containers Requirements 5-8 years of experience in software development using Python Proficient in AWS services such as Lambda, DynamoDB, CloudFormation, and IAM Strong experience in designing and building RESTful APIs Expertise in microservices architecture and containerization using Docker, AWS ECS, and ECR Ability to present and organize demo sessions to demonstrate solutions Excellent communication skills and ability to collaborate with cross-functional teams Strong sense of responsibility and ownership over the scope of work Nice to have Experience in DevOps tools such as Jenkins and GitLab for continuous integration and deployment Familiarity with NoSQL databases such as MongoDB and Cassandra Experience in data analysis and visualization using Python libraries such as Pandas and Matplotlib Show more Show less

Job Title: Data Science & Data Analysis Trainer Location: Coimbatore (On-site) Employment Type: Full-time About Code Purple Academy: Code Purple Academy is a division of Vimix Technologies LLP , a Tamil Nadu-based tech company focused on bridging the gap between education and industry. Since 2022, Code Purple has been providing hands-on, project-based training in Full-Stack Development, Data Science, Data Analysis, and Video Editing to help students build real-world skills and launch their tech careers. Role Overview: We are hiring a Data Science & Data Analysis Trainer for our Coimbatore center. This role is open only to candidates who are native to Coimbatore or nearby areas . The trainer will teach Python, data analysis tools, and basic machine learning while guiding students through real-time projects and hands-on assignments. Key Responsibilities: ●Conduct in-person training sessions on Python, data analysis, visualization, and machine learning ●Use tools like Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, and SQL in practical sessions ●Guide students through project-based learning and evaluations ●Help maintain and update industry-relevant course content ●Support students with feedback, Q&A sessions, and job-readiness mentoring Required Skills: Strong knowledge of Python and core data science libraries Familiarity with data visualization, data cleaning, and EDA techniques Basic machine learning understanding (classification, regression, etc.) SQL knowledge for data handling and analysis Effective communication and a genuine passion for teaching Bonus: Familiarity with tools like Power BI, Tableau, or Jupyter Notebooks Eligibility: Only candidates from Coimbatore or nearby areas will be considered (native preferred) Freshers with good technical knowledge and interest in teaching are welcome Bachelor's degree in a relevant field preferred but not mandatory What We Offer: A supportive teaching environment within Vimix Technologies LLP Opportunity to build a long-term career in tech education Competitive salary and performance-based growth A chance to mentor and shape future tech professionals Job Types: Full-time, Permanent Pay: ₹12,000.00 - ₹15,000.00 per month Schedule: Day shift Application Question(s): Are you genuinely interested in a training-based role in Data Science? Would you be able to join immediately? Location: Peelamedu, Coimbatore, Tamil Nadu (Required) Work Location: In person Expected Start Date: 30/05/2025

AI and Machine Learning Intern Company: INLIGHN TECH Location: Remote (100% Virtual) Duration: 3 Months Stipend for Top Interns: ₹15,000 Certificate Provided | Letter of Recommendation | Full-Time Offer Based on Performance About the Company: INLIGHN TECH empowers students and fresh graduates with real-world experience through hands-on, project-driven internships. The AI and Machine Learning Internship is crafted to provide practical exposure to building intelligent systems, enabling interns to bridge theoretical knowledge with real-world applications. Role Overview: As an AI and Machine Learning Intern, you will work on projects involving data preprocessing, model development, and performance evaluation. This internship will strengthen your skills in algorithm design, model optimization, and deploying AI solutions to solve real-world problems. Key Responsibilities: Collect, clean, and preprocess datasets for training machine learning models Implement machine learning algorithms for classification, regression, and clustering Develop deep learning models using frameworks like TensorFlow or PyTorch Evaluate model performance using metrics such as accuracy, precision, and recall Collaborate on AI-driven projects, such as chatbots, recommendation engines, or prediction systems Document code, methodologies, and results for reproducibility and knowledge sharing Qualifications: Pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field Strong foundation in Python and understanding of libraries such as Scikit-learn, NumPy, Pandas, and Matplotlib Familiarity with machine learning concepts like supervised and unsupervised learning Experience or interest in deep learning frameworks (TensorFlow, Keras, PyTorch) Good problem-solving skills and a passion for AI innovation Eagerness to learn and contribute to real-world ML applications Internship Benefits: Hands-on experience with real-world AI and ML projects Certificate of Internship upon successful completion Letter of Recommendation for top performers Build a strong portfolio of AI models and machine learning solutions Show more Show less

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

Data Science Intern Company: INLIGHN TECH Location: Remote (100% Virtual) Duration: 3 Months Stipend for Top Interns: ₹15,000 Certificate Provided | Letter of Recommendation | Full-Time Offer Based on Performance About the Company: INLIGHN TECH empowers students and fresh graduates with real-world experience through hands-on, project-driven internships. The Data Science Internship is designed to equip you with the skills required to extract insights, build predictive models, and solve complex problems using data. Role Overview: As a Data Science Intern, you will work on real-world datasets to develop machine learning models, perform data wrangling, and generate actionable insights. This internship will help you strengthen your technical foundation in data science while working on projects that have a tangible business impact. Key Responsibilities: Collect, clean, and preprocess data from various sources Apply statistical methods and machine learning techniques to extract insights Build and evaluate predictive models for classification, regression, or clustering tasks Visualize data using libraries like Matplotlib, Seaborn, or tools like Power BI Document findings and present results to stakeholders in a clear and concise manner Collaborate with team members on data-driven projects and innovations Qualifications: Pursuing or recently completed a degree in Data Science, Computer Science, Mathematics, or a related field Proficiency in Python and data science libraries (NumPy, Pandas, Scikit-learn, etc.) Understanding of statistical analysis and machine learning algorithms Familiarity with SQL and data visualization tools or libraries Strong analytical, problem-solving, and critical thinking skills Eagerness to learn and apply data science techniques to solve real-world problems Internship Benefits: Hands-on experience with real datasets and end-to-end data science projects Certificate of Internship upon successful completion Letter of Recommendation for top performers Build a strong portfolio of data science projects and models 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

🧠 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 Description About CloudxLab CloudxLab is a team of developers, engineers, and educators passionate about building innovative products to make learning fun, engaging, and for life. We are a highly motivated team who build fresh and lasting learning experiences for our users. Powered by our innovation processes, we provide a gamified environment where learning is fun and constructive. From creative design to intuitive apps we create a seamless learning experience for our users. We upskill engineers in deep tech - make them employable & future-ready. CloudxLab is looking for Machine Learning Engineers who have good understanding of Machine Learning using Python. The primary responsibilities of a Machine learning Engineers at CloudxLab are going to be: Review the machine learning and big data projects submitted by the learners. Build the test case driven assessments for machine learning, deep learning, Spark and data analytics. Answer the queries of the learners When CloudxLab is launching the machine learning and big data projects, contribute to it. The Candidate Must Be Hands On With The Following Linux SQL Data Analysis using Numpy, Pandas and matplotlib Machine Learning with Scikit Learn Deep Learning with Tensor flow (1 or 2 either will do) Apache Spark As a part of the job application you will have to complete an online assessment test. Skills The assessment test checks for skills needed for the job and also requires you to submit a blog you have written and published online preferably on LinkedIn. The link to form is below: Link - https://forms.gle/55LbLnufpeK6kqgE8 Required Skills This is your progress in the required skills for this job. Sign in and improve your score by completing these topics and then apply for the job with a better profile. Sign in to know your progress » Apply Now » We suggest you to sign in, to check and improve your progress for the required skills before applying. Click here if you want to apply anyway. 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

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

Job Title: Data Analysis Intern Location: Remote Job Type: Internship (Full-Time) Duration: 1–3 Months Stipend: ₹25,000/month Department: Data & Analytics Job Summary: We are seeking a detail-oriented and analytical Data Analysis Intern to join our remote data team. This internship is ideal for individuals looking to apply their skills in statistics, data handling, and business intelligence to real-world problems. You will gain hands-on experience with data tools and contribute to meaningful data-driven decision-making. Key Responsibilities: Collect, clean, and preprocess data from various sources Perform exploratory data analysis (EDA) and identify trends, patterns, and insights Create visualizations and dashboards to present findings using tools like Excel, Power BI, or Tableau Assist in building reports and communicating insights to different teams Document analytical processes and ensure data accuracy and consistency Collaborate with cross-functional teams to support ongoing data initiatives Qualifications: Bachelor’s degree (or final year student) in Data Science, Statistics, Computer Science, Economics, or related field Strong skills in Excel, SQL, and Python or R Understanding of basic statistical concepts and data analysis techniques Familiarity with data visualization tools such as Power BI, Tableau, or Matplotlib Good problem-solving skills and attention to detail Ability to work independently in a remote environment Preferred Skills (Nice to Have): Experience working with large datasets or real-world business data Knowledge of A/B testing, correlation analysis, or regression techniques Exposure to data cleaning and automation tools Familiarity with Jupyter Notebooks, Google Sheets, or cloud data tools What We Offer: Monthly stipend of ₹25,000 100% remote internship Exposure to real-world business and product data Mentorship from experienced data analysts and domain experts Certificate of Completion Opportunity for full-time placement based on performance Show more Show less