6 Google Colab Jobs

As an experienced and passionate AI/ML Trainer, you will be responsible for delivering hands-on training for a structured Artificial Intelligence & Machine Learning program. This contract-based opportunity is ideal for professionals with strong technical expertise and a flair for teaching. Your key responsibilities will include delivering in-depth classroom and lab-based training sessions on core AI/ML topics, designing, developing, and maintaining training material, assignments, and project modules, conducting doubt-clearing sessions, assessments, and live coding exercises, guiding students through capstone projects and real-world datasets, evaluating learner performance, and providing constructive feedback. It will also be your responsibility to stay updated with the latest industry trends, tools, and techniques in AI/ML. The topics you will cover during the training sessions include Python for Data Science, Statistics and Linear Algebra Basics, Machine Learning (Supervised, Unsupervised, Ensemble Techniques), Deep Learning (ANN, CNN, RNN, etc.), Natural Language Processing (NLP), Model Deployment (Flask, Streamlit, etc.), and hands-on experience with libraries like NumPy, Pandas, Scikit-learn, TensorFlow/Keras, OpenCV, and tools such as Jupyter, Git, Google Colab, and VS Code. To be eligible for this role, you should have a Bachelor's or Master's degree in Computer Science, Data Science, or a related field, along with at least 24 years of relevant industry/training experience in AI/ML. Strong communication and presentation skills are essential, as well as the ability to mentor and engage learners of varying skill levels. Prior training or teaching experience, whether academic or corporate, is preferred. Your skills should include expertise in ML, scikit-learn, TensorFlow, Jupyter, Natural Language Processing, OpenCV, Python for Data Science, Google Colab, Deep Learning, Model Deployment, NumPy, Keras, Linear Algebra, Statistics, Pandas, Git, VS Code, and a good understanding of contractual, artificial intelligence, and machine learning concepts.,

As a Data Science Trainer, you will play a crucial role in delivering high-quality instruction in data science, machine learning, and AI. Your responsibilities will include designing curriculum, conducting training sessions, and mentoring learners of different skill levels. You should possess strong theoretical knowledge coupled with hands-on experience in real-world data projects. Your key responsibilities will involve delivering engaging training sessions on various topics such as Python for Data Science, Statistics & Probability, Machine Learning & Deep Learning, Data Visualization, Data Manipulation, and Tools & Platforms. You will also be responsible for designing and updating training materials, providing one-on-one mentoring to learners, evaluating progress, and keeping the curriculum up-to-date with industry trends. To excel in this role, you are required to hold a Bachelors/Masters degree in Data Science, Computer Science, Statistics, or a related field with at least 5 years of experience in data science or related domains. Prior experience in teaching or mentoring will be advantageous. Proficiency in Python, machine learning algorithms, data processing libraries, along with excellent communication and presentation skills are essential. Your ability to explain complex concepts clearly and engagingly will be key to your success. In addition to your core responsibilities, you will participate in webinars, workshops, and community building activities, conduct code reviews, and support learners with debugging. Your dedication to continuous learning and staying updated with the latest industry technologies will be highly valued. This full-time role will require you to work in a morning shift at the designated in-person work location. If you are passionate about data science education and possess the necessary skills and experience, we look forward to receiving your application.,

-1Role & responsibilities AI/ML Engineer About the Role: We are building an AI-powered food recognition system for our fitness and nutrition app. The goal is to enable users to scan meals, identify food items (especially Indian cuisine), and get an instant nutritional breakdown (calories/macros). Were looking for an AI/ML Engineer who can take full ownership of this project from dataset creation and model development to backend integration and deployment. Responsibilities: 1 Dataset Preparation Collect or curate labeled food image datasets (focus on Indian meals) Organize images into structured folders for training Perform data augmentation, resizing, normalization 2 Model Development Choose and fine-tune a CNN model (e.g., ResNet, EfficientNet, MobileNet) Apply transfer learning for food classification (20+ categories) Optimize for high accuracy and convert to TensorFlow Lite (optional for mobile) 3 Training & Evaluation Train the model on Google Colab, local GPU, or cloud Evaluate using metrics like accuracy, F1 score, and confusion matrix Iterate to improve results based on testing 4 Backend Integration Build REST APIs using FastAPI to serve model predictions Accept image uploads and return predicted food labels with confidence scores Integrate predictions with existing MySQL database 5 Deployment & Support Save and deploy the trained model (.h5 or .tflite) Collaborate with the mobile team (React Native) to connect the API or run on-device predictions Ensure performance, scalability, and reliability in production Mandatory Skills: ML/AI TensorFlow / Keras / PyTorch, Transfer Learning, CNNs Image Processing ImageDataGenerator, Pillow/OpenCV, image augmentation Backend FastAPI (REST APIs) Deployment Model saving/loading, TFLite conversion Database Basic integration with MySQL Cloud/Infra Google Colab, AWS EC2 Versioning Git, GitHub, proper code structuring Preferred candidate profile

About the job: Key responsibilities: 1. Extract, clean, and organize data from internal databases, APIs, and external sources using Python and SQL 2. Build and maintain automated web scraping routines for competitor tracking, lead generation, and market insights 3. Design dashboards and reports that help internal teams (Sales, Ops, Product) make informed decisions 4. Conduct exploratory data analysis (EDA) and generate actionable insights from structured and unstructured datasets 5. Collaborate closely with product and engineering teams to define data requirements and validation checks 6. Ensure data integrity, security, and accuracy across all datasets and pipelines 7. Identify trends, patterns, and anomalies to support internal reporting and product roadmap Requirements: 1. Strong command of SQL (PostgreSQL, MySQL, or BigQuery), including joins, aggregations, and nested queries 2. Proficiency in Python for data manipulation and automation using Pandas, NumPy, Regex 3. Experience with web scraping tools like BeautifulSoup, Selenium, or Scrapy 4. Hands-on experience with data extraction from REST APIs and web sources 5. Ability to handle large datasets and perform exploratory and statistical analysis 6. Familiarity with version control tools like Git or GitHub 7. Clear written and verbal communication skills 8. Experience with BI tools like Power BI, Google Data Studio, or Tableau 9. Exposure to Google Cloud Platform (GCP) tools such as BigQuery and Cloud Functions 10. Understanding of data privacy and compliance regulations, especially in B2B SaaS and EdTech sectors 11. Prior experience in CRM, education, or SaaS analytics Additional Information: 1. Role involves close collaboration across teams, including Sales, Ops, Product, and Engineering 2. Emphasis on data security, automation, and business impact through insights and reporting Who can apply: Only those candidates can apply who: have minimum 1 years of experience are from Bangalore only Salary: ₹ 4,00,000 - 5,00,000 /year Experience: 1 year(s) Deadline: 2025-08-06 23:59:59 Other perks: Free snacks & beverages, Health Insurance, Life Insurance Skills required: Python, Presentation skills, SQL, Data Extraction, Google Colab and Jupyter Notebook About Company: Our company offers a range of services aimed at empowering businesses and individuals. We provide upskilling courses designed to help students enhance their technical and professional skills, preparing them for success in the modern workforce. Additionally, we specialize in website building services, creating customized, responsive, and user-friendly websites to help businesses establish a strong online presence. We also offer CRM software solutions that help organizations manage customer relationships efficiently, streamline operations, and improve overall customer satisfaction. With a focus on quality and innovation, we are committed to delivering effective, scalable, and impactful solutions to meet the unique needs of each client.

Role & responsibilities Deliver subject-specific lectures, case studies, simulations, and workshops to PGDM/MBA/BBA/BCA students Develop course material, lesson plans, and hands-on activities aligned with AICTE / MDU and industry standards Use tools like Excel, Python, Tableau, R, SCM tools (for Operations), and simulation platforms Mentor students on projects, internships, and live case assignments Evaluate students performance through continuous internal assessments Organize skill labs, certification support sessions, and corporate knowledge exchange events Willing and excited to also take administrative responsibilities and job roles Subject-wise Requirements: 1. Business Analytics (Full-Time/Part-Time) Teach tools like Excel, Power BI, Python (basic), SQL, and analytics frameworks Deliver practical sessions on data cleaning, dashboards, decision support models Should be an all-rounder in B. Analytics subject areas like Market Microstructure, Predictive Business Analytics, Econometrics Eager to learn and teach on OS Softwares 2. Finance (with mandatory strong Excel exposure) Teach Financial Modelling, Valuation, MIS, Forecasting using Excel Must integrate Tally/Zoho/FinTech basics in classroom simulations Should be an all-rounder in Finance subject areas like Cost Accounting/GST/Income Tax Eager to learn and teach on OS softwares 3. Information Technology (AI/ML/Python/Data Structures/C++) Teach programming foundations with Python, C++, and exposure to ML/AI concepts Hands-on with Jupyter, Colab, GitHub, and coding practices Should be an all-rounder in IT concepts Eager to learn and teach 4. Operations & SCM (Transportation, Warehouse, Supply Chain Analytics) Teach SCM tools, TMS platforms, inventory modeling, Lean/6 Sigma basics Practical exposure to case-based supply chain problem-solving

About the job: Key responsibilities: 1. Develop and maintain responsive, interactive web applications using React.js Design and implement RESTful APIs and backend services with Python (Firebase Functions, Django, Flask) 2. Collaborate with cross-functional teams to define, design, and ship new features 3. Write clean, maintainable, and testable code following industry best practices 4. Optimize components for maximum performance across a vast array of devices and browsers 5. Integrate frontend components with server-side logic and databases 6. Deploy and manage applications on cloud platforms: AWS, Azure, GCP 7. Participate in code reviews, debugging, and troubleshooting production issues 8. Maintain technical documentation and engage in agile ceremonies (stand-ups, sprint planning, retrospectives) Who can apply: Only those candidates can apply who: have minimum 1 years of experience are Computer Science Engineering students Salary: ₹ 3,70,000 - 6,00,000 /year Experience: 1 year(s) Deadline: 2025-06-20 23:59:59 Other perks: Informal dress code Skills required: Python, Git, Node.js, NoSQL, React, REST API, Google Cloud Platforms (GCP), FastAPI, Tailwind CSS and Google Colab Other Requirements: Excellent problem-solving skills and attention to detail Willingness to learn new technologies, especially inthe Geospatial and GIS areas using Python About Company: Dygnify is a fin-tech platform to enable climate credit for green businesses. The platform achieves this by connecting climate capital providers to green businesses seeking climate credit.