1416 Matplotlib Jobs - Page 7

This internship offers you a unique opportunity to contribute to the development of cutting-edge tools in aviation safety and data analysis, leveraging the power of Machine Learning. Your mission during this internship is to develop an interactive tool for mapping Flight Data Recorders (FDR) parameters based on Systems and subsystems. This will require you to become familiarized with the system-wide functionality of Airbus aircraft, codify potentially-affected parameters for a given incident to map the fault propagation tree, conduct research on, and ultimately implement, the most appropriate Machine Learning algorithm(s) for this time-series application, and build data visualization and user-interface tools. By the end of this internship, you will have delivered a robust tool that provides an exhaustive list of FDR parameters along with a practical representation of the impact on systems related to a particular fault. Additionally, you will have created a first-order proof of concept demonstrating the applicability of Machine Learning techniques in this space through a limited-scope use case. Required Skills: - Strong programming skills in Python. Knowledge of key machine learning libraries (Scikit-learn, Tensorflow) and scientific computing libraries (e.g., SciPy) is an asset. - Experience with Machine Learning (ML) for time-series applications, including exposure to supervised and unsupervised learning algorithms, an understanding of data preprocessing, feature engineering, and data visualization methods. - Experience with data visualization libraries (e.g., Matplotlib, Plotly, D3.js). - Familiarity with UI/UX design principles for intuitive interfaces would be a plus. This internship is ideal for students pursuing degrees in Computer Science, Aerospace Engineering, Data Science, or related fields, with a keen interest in aviation data, artificial intelligence, and software development. This job requires an awareness of potential compliance risks and a commitment to act with integrity as the foundation for the Company's success, reputation, and sustainable growth. Company: Airbus India Private Limited Employment Type: Internship Experience Level: Student Job Family: Testing By submitting your CV or application, you are consenting to Airbus using and storing information about you for monitoring purposes related to your application or future employment. This information will only be used by Airbus. Airbus is committed to equal opportunities for all and will never ask for any monetary exchange during the recruitment process. Any impersonation of Airbus for such requests should be reported to emsom@airbus.com. At Airbus, we support you to work, connect, and collaborate more easily and flexibly. We foster flexible working arrangements wherever possible to stimulate innovative thinking.,

We are seeking a highly skilled Data Scientist to join our AI Center of Excellence (CoE) in Pune. In this role, you will work with complex financial datasets, develop machine learning models, and provide data-driven insights to support business decisions and product innovation. The ideal candidate will be hands-on, analytical, and dedicated to solving real-world problems using data. Required Skills & Experience: - 4-6 years of proven experience in Data Science, preferably in finance or FinTech. - Strong coding skills in Python, R, and SQL. - Experience with machine learning frameworks like Scikit-learn, TensorFlow, or PyTorch. - Solid foundation in statistical modeling, data analysis, and deep learning. - Familiarity with cloud platforms such as AWS, Azure, or GCP. - Proficiency in data visualization tools like Power BI, Tableau, or Matplotlib. - Excellent communication skills for presenting data-driven insights effectively. Preferred Qualifications: - Master's or Bachelor's degree in Data Science, Computer Science, Statistics, or related field. - Exposure to NLP, generative AI, or large language models. - Experience with MLOps practices for deploying and monitoring models. Key Responsibilities: - Analyze large-scale financial datasets to identify insights and trends. - Develop and deploy machine learning models for predictive analytics. - Translate business challenges into data science problems and propose solutions. - Collaborate with product and business teams to implement data-driven features. - Communicate analytical findings clearly through visualizations for non-technical stakeholders. - Explore and adopt emerging tools, techniques, and best practices in AI/ML continuously. This position is based in Pune and requires immediate joining. Hybrid or in-office availability is expected as per project requirements. GlobalLogic offers a culture of caring, learning and development opportunities, interesting & meaningful work, balance and flexibility, and a high-trust environment. We are committed to continuous growth and creating innovative solutions with our clients. Join us to be part of a global digital engineering partner known for impactful and cutting-edge solutions.,

The role of AI Engineer at our company involves developing essential software features to ensure timely delivery while meeting the company's performance and quality standards. As an AI Engineer, you will be part of our team working on various data science initiatives, ranging from traditional analytics to cutting-edge AI applications. This position provides a great opportunity to gain experience in machine learning and artificial intelligence across different domains. Your core responsibilities will include developing and maintaining data processing pipelines using Python, creating and deploying GenAI applications through APIs and frameworks like semantic kernel and Langchain, conducting data analysis and generating insightful visualizations, collaborating with different teams to understand business requirements and implement AI solutions, contributing to the development and upkeep of language model evaluations and other AI applications, writing clean, documented, and tested code following best practices, and monitoring application performance while making necessary improvements. To qualify for this role, you should hold a Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, along with at least 2 years of hands-on experience in applied data science and machine learning. Proficiency in Python programming, familiarity with LLMs and their applications, experience with cloud platforms such as AWS, Azure, or GCP, version control using Git, strong analytical and problem-solving skills, and knowledge of PyTorch and Deep Learning fundamentals are essential requirements. In terms of technical skills, you should have knowledge of LLMs and Generative AI platforms, be familiar with popular LLM APIs, have experience with frameworks like Semantic Kernel, LangChain, OpenAI, and Google Vertex AI, be proficient in programming languages including Python, SQL, and R, have expertise in libraries such as HuggingFace, Transformers, Matplotlib, and Seaborn, be skilled in ML/Statistics with tools like scikit-learn, statsmodels, and PyTorch, understand data processing with Pandas, NumPy, and PySpark, and have experience working with cloud platforms like AWS, GCP, or Azure. This full-time permanent position is located in Bengaluru and is with the Merkle brand.,

We're Hiring: Data Science Engineer (Python) Location: A-50, Second Floor, Sector-67, Noida-201301 Experience: 03 Years Company: Crosslynx US LLC Are you passionate about solving real-world problems using data and Python? Join our team at Crosslynx and work on innovative projects in AI, ML, and cloud-based analytics platforms. About Us Crosslynx US LLC is a global leader in Product Engineering and Cloud Engineering , delivering cutting-edge solutions across industries. With expertise in AI/ML, Embedded Systems, Cloud Applications, RF Design, and Quality Assurance , we empower enterprises worldwide. Our R&D and development centers are located in Milpitas (California, USA) and Noida (India) . Role Overview As a Data Science Engineer , you’ll be responsible for building scalable data pipelines, developing machine learning models, and integrating data-driven solutions into enterprise platforms. You’ll collaborate with cross-functional teams to deliver high-impact analytics and AI solutions. Key Responsibilities Develop and maintain Python-based data processing and analytics pipelines Work with structured and unstructured data from multiple sources and databases Build and deploy machine learning models using frameworks like scikit-learn, TensorFlow, PyTorch Implement data visualization dashboards using tools like Plotly, Dash, or Streamlit Ensure data integrity, security, and compliance across systems Collaborate with software engineers, data analysts, and product teams Write unit tests and debug data workflows for reliability and scalability Use version control tools like Git for collaborative development Required Skills Strong proficiency in Python and familiarity with Python testing frameworks (e.g., Pytest, Robot) Experience with ORM libraries and database schema design Understanding of multi-process architecture and event-driven programming Basic knowledge of HTML5, CSS3, JavaScript for dashboard integration Familiarity with templating engines (e.g., Jinja2) Knowledge of authentication/authorization across systems Strong debugging and unit testing skills Experience with Git/SVN for version control Preferred Skills Exposure to data science libraries like Pandas, NumPy, Matplotlib Experience with cloud platforms (AWS, GCP, Azure) Familiarity with CI/CD pipelines for model deployment Understanding of data security and compliance standards Knowledge of API integration and microservices architecture Perks & Benefits Healthy work-life balance Freedom to innovate and express ideas Opportunities to work with global clients Exposure to cutting-edge technologies in AI/ML, IoT, 5G, Cloud Ready to Apply? Send your resume to prabha.pandey@crosslynxus.com Let’s build intelligent solutions together!

Job Description: We are seeking a highly skilled and passionate Data Science Trainer to join our team. The ideal candidate will have strong practical knowledge in data science tools and techniques, and a passion for teaching and mentoring students or professionals. Key Responsibilities: Design and deliver engaging training sessions on Data Science, Machine Learning, Python, SQL, Statistics, and Data Visualization tools like Tableau or Power BI. Develop course materials, hands-on labs, assessments, and real-time project-based learning modules. Teach both theoretical and practical aspects of data science, including data preprocessing, EDA, model building, evaluation, and deployment . Conduct live sessions, workshops, webinars , and one-on-one doubt-clearing sessions. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field. Proven experience (2+ years) in data science or analytics roles. Proficiency in Python, Pandas, NumPy, Matplotlib, Scikit-learn, SQL, and relevant data science libraries. Knowledge of cloud platforms (AWS, Azure, GCP) and deployment tools is a plus. Experience with tools like Jupyter Notebook, Google Colab , or similar platforms. Strong communication, presentation, and mentoring skills. Prior teaching or training experience preferred (online/offline). Ability to break down complex topics into easy-to-understand concepts. Job Type: Full-time Pay: ₹100,000.00 - ₹200,000.00 per month Work Location: In person

The people here at Apple don’t just build products - we craft the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that supports the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. The Global Business Intelligence team provides data services, analytics, reporting, and data science solutions to Apple’s business groups, including Retail, iTunes, Marketing, AppleCare, Operations, Finance, and Sales. These solutions are built on top of an end-to-end machine learning platform with sophisticated AI capabilities. We are looking for a competent, experienced, and driven machine learning engineer to define and build some of the best-in-class machine learning solutions and tools for Apple. Description As a Machine Learning Engineer, you will work on building intelligent systems to democratize AI across a wide range of solutions within Apple. You will drive the development and deployment of innovative AI models and systems that directly impact the capabilities and performance of Apple’s products and services. You will implement robust, scalable ML infrastructure, including data storage, processing, and model serving components, to support seamless integration of AI/ML models into production environments. You will develop novel feature engineering, data augmentation, prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domains. You will design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration. You will also implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance. Have continuous focus to Brainstorm and Design various POCs using AI/ML Services for new or existing enterprise problems. YOU SHOULD BE ABLE TO: - Understand a business challenge - Collaborate with business and other multi-functional teams - Design a statistical or deep learning solution to find the needed answer to it. - Develop it by yourself or guide another person to do it. - Deliver the outcome into production, (v) Keep a good governance of your work. There are meaningful opportunities for you deliver impactful influences to Apple. Key Qualifications 4+ years of ML engineering experience in feature engineering, model training, model serving, model monitoring and model refresh management Experience developing AI/ML systems at scale in production or in high-impact research environments Passionate about computer vision, natural language processing, especially in LLMs and Generative AI systems Knowledge with the common frameworks and tools such as PyPorch or TensorFlow Experience with transformer models such as BERT, GPT etc. and understanding of their underlying principles is a plus Strong coding, analytical, software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment Experience in handling performance, application and security log management Applied knowledge of statistical data analysis, predictive modeling classification, Time Series techniques, sampling methods, multivariate analysis, hypothesis testing, and drift analysis. Proficiency in programming languages and tools like Python, R, Git, Airflow, Notebooks. Experience with data visualization tools like matplotlib, d3.js., Tableau would be a plus Education & Experience Bachelor’s Degree or Equivalent experience Submit CV

We are hiring for the role of Data Science and AI Trainer. This presents a great opportunity for you to join our team and be part of our organization. About: Techstack Academy is a professional training institute based in Delhi (with a branch in Saket) that offers career-oriented courses in technology and digital skills. It’s designed for students, freshers, and working professionals who want to upskill or switch careers in fields like: :- Training Institute offering online and offline classes. :- Focused on practical, job-ready skills. :- Known for Digital Marketing, Data Science, AI, Machine Learning, Full Stack Development, Python, Web Design, etc. Requirements: :- Designation- Data Science and AI Trainer :- Experience - Atleast 1 year as Data Science and AI Trainer :- Good communication and interaction skills. :- Know Python, Adv. Python, NumPy pandas, Matplotlib, Seaborn, Beautiful Soup, Adv. Excel, Stats, Power BI, Tableau, ML, AI, Generative AI, Generative LLM, Deep Learning. Interested candidates can connect via: Email :- mitali@techstack.in Contact :- +91 94533 23222 Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹32,000.00 per month Schedule: Day shift Work Location: In person

Job Title: Freelance Trainer - Data Science & Artificial Intelligence Job Location: Chennai Job Mode: Offline - Freelance Job Description: We are seeking a passionate and knowledgeable Data Science & AI Trainer to deliver hands-on training sessions to college students. The ideal candidate should have a strong foundation in data science, machine learning, and AI concepts, with the ability to simplify complex topics and engage learners through practical examples and projects. Responsibilities: Deliver in-depth training on Data Science, Machine Learning, Deep Learning , and AI tools and techniques. Develop or follow structured lesson plans, course materials, and lab exercises. Conduct hands-on coding sessions using Python and related libraries (Numpy, Pandas, Scikit-learn, Tensor Flow/PyTorch, etc.). Provide individual support, project guidance, and real-world application insights to students. Stay updated with the latest trends and advancements in AI & Data Science. Maintain a professional and supportive learning environment in the classroom. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, or related fields. Proven teaching/training experience in Data Science and AI . Strong programming skills in Python . Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Power BI, Tableau – optional). Good communication and presentation skills in English (Tamil proficiency is a plus). Ability to explain technical concepts in a simplified and engaging manner. Job Type: Freelance Contract length: 3 months Pay: ₹30,000.00 - ₹40,000.00 per month Experience: Data Science & AI Trainer: 2 years (Required) Location: Chennai, Tamil Nadu (Required) Willingness to travel: 25% (Preferred) Work Location: In person Application Deadline: 29/07/2025 Expected Start Date: 29/07/2025

Job Title: Data Science Intern Company: Techieshubhdeep IT Solutions Pvt. Ltd. Location: 21 Nehru Colony, Thatipur, Gwalior, Madhya Pradesh Contact: +91 7880068399 About Us: Techieshubhdeep IT Solutions Pvt. Ltd. is a growing technology company specializing in IT services, software development, and innovative digital solutions. We are committed to nurturing talent and providing a platform for aspiring professionals to learn and excel in their careers. Role Overview: We are seeking a Data Science Intern who will assist our team in developing data-driven solutions, performing statistical analysis, and creating machine learning models to solve real-world business challenges. Key Responsibilities: Collect, clean, and preprocess structured and unstructured data. Perform exploratory data analysis (EDA) to identify trends and patterns. Assist in building, testing, and optimizing machine learning models. Work with large datasets and perform statistical modeling. Document processes, findings, and model performance. Collaborate with senior data scientists and software engineers on live projects. Required Skills & Qualifications: Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, Mathematics, or related fields. Basic understanding of Python/R and libraries like NumPy, Pandas, Scikit-learn, Matplotlib, etc. Familiarity with SQL and database management. Strong analytical skills and problem-solving abilities. Good communication skills and willingness to learn. What We Offer: Hands-on training on real-world projects. Guidance from experienced industry professionals. Internship certificate upon successful completion. Potential for full-time employment based on performance. Job Types: Full-time, Internship, Fresher, Walk-In Pay: ₹5,000.00 - ₹15,000.00 per year Schedule: Day shift Monday to Friday Morning shift Ability to commute/relocate: Gwalior, Madhya Pradesh: Reliably commute or planning to relocate before starting work (Required) Experience: total work: 1 year (Preferred) Data science: 1 year (Preferred) Language: Hindi (Preferred) English (Preferred) Work Location: In person

We are hiring for the role of Data Science and AI Trainer. This presents a great opportunity for you to join our team and be part of our organization. About: Techstack Academy is a professional training institute based in Delhi (with a branch in Saket) that offers career-oriented courses in technology and digital skills. It’s designed for students, freshers, and working professionals who want to upskill or switch careers in fields like: :- Training Institute offering online and offline classes. :- Focused on practical, job-ready skills. :- Known for Digital Marketing, Data Science, AI, Machine Learning, Full Stack Development, Python, Web Design, etc. Requirements: :- Designation- Data Science and AI Trainer :- Experience - Atleast 1 year as Data Science and AI Trainer :- Good communication and interaction skills. :- Know Python, Adv. Python, NumPy pandas, Matplotlib, Seaborn, Beautiful Soup, Adv. Excel, Stats, Power BI, Tableau, ML, AI, Generative AI, Generative LLM, Deep Learning. Interested candidates can connect via: Email :- mitali@techstack.in Contact :- +91 94533 23222 Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹32,000.00 per month Schedule: Day shift Work Location: In person

We are seeking a proactive Computer Vision Engineer who excels in dynamic environments and has a passion for developing practical AI systems. If you have a keen interest in working with video, visual data, cutting-edge ML models, and resolving impactful challenges, we are eager to connect with you. This position merges deep learning, computer vision, and edge AI, focusing on constructing scalable models and intelligent systems to drive our advanced sports technology platform. Your responsibilities will include designing, training, and refining deep learning models for real-time object detection, tracking, and video comprehension. You will be responsible for implementing and deploying AI models utilizing frameworks such as PyTorch, TensorFlow/Keras, and Transformers. Working with video and image datasets using tools like OpenCV, YOLO, NumPy, Pandas, and visualization tools like Matplotlib will be a key aspect of your role. Collaborating closely with data engineers and edge teams to deploy models on real-time streaming pipelines will also be part of your duties. Additionally, you will need to optimize inference performance for edge devices such as Jetson and T4, and manage video ingestion workflows. You will also be expected to rapidly prototype new concepts, perform A/B tests, and validate enhancements in real-world scenarios. Clear documentation of processes, effective communication of findings, and contributing to the expansion of our AI knowledge base are essential aspects of this role. To be successful in this position, you should possess a strong command of Python and have familiarity with C/C++. Experience with deep learning frameworks such as PyTorch, TensorFlow, and Keras is required. A solid understanding of YOLO, Transformers, or OpenCV for real-time visual AI is essential. Proficiency in data preprocessing, feature engineering, and model evaluation using NumPy, Pandas, etc., is also necessary. A good grasp of computer vision, convolutional neural networks (CNNs), and object detection techniques is expected. Exposure to video streaming workflows like GStreamer, FFmpeg, and RTSP will be advantageous. The ability to write clean, modular, and efficient code is crucial for this role. Experience in deploying models in production, particularly on GPU/edge devices, is highly valued. An interest in reinforcement learning, sports analytics, or real-time systems will be considered a plus. An undergraduate degree in Computer Science, Artificial Intelligence, or a related field is required, while a Master's or PhD is preferred. A strong academic background will be beneficial for this position.,

PLSQL Developer - Pune Job Title : PLSQL Developer Experience : 5 to 7 years Location : Pune/hybrid Notice Period : Immediate to 15days Mandatory Skills Languages : SQL, T-SQL, PL/SQL, Python libraries(PySpark, Pandas, NumPy, Matplotlib, Seaborn) Roles & Responsibilities Design and maintain efficient data pipelines and ETL processes using SQL and Python. Write optimized queries (T-SQL, PL/SQL) for data manipulation across multiple RDBMS. Use Python libraries for data processing, analysis, and visualization. Perform EOD (end-of-day) data aggregation and reporting based on business needs. Work on Azure Synapse Analytics for scalable data transformations. Monitor and manage database performance across Oracle, SQL Server, Synapse, and PostgreSQL. Collaborate with cross-functional teams to understand and translate reporting requirements. Ensure secure data handling and compliance with organizational data policies. Debug Unix-based scripts and automate batch jobs as needed. Qualifications Bachelors/Masters degree in Computer Science, IT, or related field. 5-8 years of hands-on experience in data engineering and analytics. Solid understanding of database architecture and performance tuning. Experience in end-of-day reporting setups and cloud-based analytics platforms. (ref:hirist.tech)

As a Jr. Software Engineer (AI ML) at SynapseIndia, you will have the opportunity to work with cutting-edge technologies and contribute to the development of innovative solutions. With a focus on AI/ML, you will play a crucial role in designing, developing, and deploying machine learning models and AI algorithms using Python and relevant libraries. To excel in this role, you should hold a Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field. Additionally, having 0-2 years of professional experience in Python programming with a specialization in AI/ML is essential. Your strong experience with Python ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, along with a solid understanding of machine learning algorithms, neural networks, and deep learning will be highly valuable. Furthermore, your proficiency in data manipulation libraries such as Pandas, NumPy, and data visualization tools like Matplotlib, Seaborn, as well as experience with cloud platforms like AWS, GCP, Azure, and deploying ML models using Docker, Kubernetes will be beneficial. Any familiarity with NLP, Computer Vision, or other AI domains will be considered a plus. Your responsibilities will include collaborating with cross-functional teams to gather requirements and translate business problems into AI/ML solutions. You will be optimizing and scaling machine learning pipelines and systems for production, performing data preprocessing, feature engineering, and exploratory data analysis, and implementing and fine-tuning deep learning models using frameworks like TensorFlow, PyTorch, or similar. Additionally, you will be expected to conduct experiments, evaluate model performance using statistical methods, write clean, maintainable, and well-documented code, mentor junior developers, participate in code reviews, and stay up-to-date with the latest AI/ML research and technologies. Ensuring seamless model deployment and integration with existing infrastructure will also be part of your role. If you are a proactive individual with strong problem-solving skills, the ability to work independently and collaboratively, excellent communication skills, and familiarity with REST APIs, microservices architecture, version control systems like Git, MLOps best practices and tools, distributed computing, and big data tools like Spark or Hadoop, we encourage you to apply for this exciting opportunity at SynapseIndia. Join us and be a part of our dynamic team where your contributions are recognized and rewarded, and where you can grow both personally and professionally in a structured, eco-friendly workplace that prioritizes the well-being and job security of its employees.,

As a Lead - AI Engineer at Xerago, you will play a crucial role in driving our mission for customer immortality. Your responsibilities will include managing a team of AI engineers, developing high-quality AI models with strong predictive accuracy, and staying updated on the latest technologies in the field. By collaborating closely with project stakeholders, you will shape AI strategies, oversee timelines, and contribute significantly to the success and growth of our organization. Your influence will extend to our digital impact initiatives, shaping the future of technology at Xerago. In terms of technical responsibilities, you will be responsible for designing, developing, and implementing AI models using Python, TensorFlow, or PyTorch to ensure robustness and accuracy. Collaboration with the data team to clean, manipulate, and analyze large datasets using NumPy, Pandas, or similar libraries will be a key aspect of your role. Additionally, you will oversee the deployment of AI solutions on cloud platforms such as AWS, Google Cloud, or Microsoft Azure to optimize performance and efficiency. On the managerial front, you will lead and mentor a team of AI engineers, providing technical guidance and fostering a culture of continuous learning. Coordination with project stakeholders to define AI strategies, manage timelines, and ensure the successful delivery of AI-driven solutions will also fall within your purview. To qualify for this role, you should hold a Bachelor's degree in Computer Science, Information Technology, Machine Learning, or a related field with a strong focus on AI and machine learning. Expertise in Python programming languages, deep learning frameworks like TensorFlow or PyTorch, and data manipulation libraries such as NumPy and Pandas is essential. Proficiency in cloud platforms such as AWS, Google Cloud, or Microsoft Azure is a prerequisite, while familiarity with data visualization tools (e.g., Matplotlib, Seaborn) and version control systems (e.g., Git) is desired. Although not mandatory, certifications such as Google Professional Machine Learning Engineer, AWS Certified Machine Learning Specialty, Microsoft Certified: Azure AI Engineer Associate, and TensorFlow Developer Certificate by Deeplearning.ai are considered valuable. Strong communication, leadership, team management, adaptability, problem-solving, and strategic thinking abilities are crucial for success in this role. This is a full-time position with a work schedule of Monday to Friday, requiring in-person presence at the designated work location.,

We are looking for a highly skilled and motivated Senior LDI Analyst/Engineer to join our innovative team in India. In this role, you will utilize your advanced expertise in GIS, data science, and programming to extract actionable insights from geospatial data. Your work will drive impactful business outcomes through cutting-edge visualization and analytical tools. Your responsibilities will include: Data Analysis and Management: - Perform advanced spatial data analysis using GIS software (ArcGIS, QGIS) to derive meaningful insights. - Manage, manipulate, and analyze large geospatial datasets to produce high-quality maps and actionable reports. - Ensure data accuracy and integrity through rigorous quality control measures and regular audits. Programming and Automation: - Develop and implement Python scripts for data processing, analysis, and automation, with proficiency in SQL for querying and managing databases. - Apply machine learning and AI techniques, including Generative AI, to enhance data accuracy and predictive capabilities in GIS applications. Visualization and Reporting: - Create compelling visualizations and interactive dashboards using Tableau, PowerBI, Matplotlib, and Seaborn to communicate complex spatial insights effectively. - Utilize advanced Excel for data manipulation and reporting. - Develop and maintain high-quality maps to support stakeholder presentations and decision-making. Process Efficiency and Development: - Design and implement efficient data analysis workflows to optimize processing and analysis tasks. - Translate process efficiency concepts into development strategies, achieving significant time and effort savings. - Continuously evaluate and enhance workflows to improve performance and scalability. Tool and Application Development: - Develop custom GIS tools and applications to address diverse business requirements. - Utilize FME (Feature Manipulation Engine) for advanced data transformation and integration tasks (knowledge preferred). - Explore scalable data storage, processing, and analytics. Collaboration and Support: - Collaborate with cross-functional teams to translate data insights into strategic business solutions. - Provide technical support and training to team members on GIS tools, visualization platforms, and data analysis methodologies. - Contribute to team and company objectives aligned with business goals. Continuous Learning: - Stay updated on the latest advancements in GIS, data science, machine learning, Generative AI, and visualization technologies. Requirements: - Bachelor's or Master's degree in Geography, GIS, Data Science, Computer Science, or a related field. - Minimum of 3+ years of experience in a data analysis role. - Advanced proficiency in ArcGIS and QGIS software. - Strong programming skills in Python and proficiency in SQL. - Proven expertise in data visualization and reporting using Tableau, PowerBI, Matplotlib, Seaborn, and advanced Excel. - Hands-on experience with AWS services for data management and analytics. - Familiarity with machine learning, AI, and Generative AI applications in GIS environments. - Knowledge of FME (Feature Manipulation Engine) is an advantage. - Exceptional analytical, problem-solving, and decision-making skills. - Excellent communication, collaboration, and teamwork abilities. - Ability to work independently, prioritize tasks, and manage multiple projects in a fast-paced environment. Join us at HERE Technologies, a location data and technology platform company, where we empower our customers to achieve better outcomes. If you are inspired by an open world and driven to create positive change, we invite you to be a part of our team in Gurgaon.,

Job Summary: We are seeking a talented and driven Machine Learning Engineer to design, build, and deploy ML models that solve complex business problems and enhance decision-making capabilities. You will work closely with data scientists, engineers, and product teams to develop scalable machine learning pipelines, deploy models into production, and continuously improve their performance. Key Responsibilities: Design, develop, and deploy machine learning models for classification, regression, clustering, recommendation, NLP, or computer vision tasks. Collaborate with data scientists to prepare and preprocess large-scale datasets for training and evaluation. Implement and optimize machine learning pipelines and workflows using tools like MLflow, Airflow, or Kubeflow. Integrate models into production environments and ensure model performance, monitoring, and retraining. Conduct A/B testing and performance evaluations to validate model accuracy and business impact. Stay up-to-date with the latest advancements in ML/AI research and tools. Write clean, efficient, and well-documented code for reproducibility and scalability. Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. Strong knowledge of machine learning algorithms, data structures, and statistical methods. Proficient in Python and ML libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost). Experience with data manipulation libraries (e.g., pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn). Familiarity with cloud platforms (AWS, GCP, or Azure) and model deployment tools. Experience with version control systems (Git) and software engineering best practices. Preferred Qualifications: Experience in deep learning, natural language processing (NLP), or computer vision. Knowledge of big data technologies like Spark, Hadoop, or Hive. Exposure to containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines. Familiarity with MLOps practices and tools.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. RCE-Risk Data Engineer-Leads Job Description: - Our Technology team builds innovative digital solutions rapidly and at scale to deliver the next generation of Financial and Non- Financial services across the globe. The Position is a senior technical, hands-on delivery role, requiring the knowledge of data engineering, cloud infrastructure and platform engineering, platform operations and production support using ground-breaking cloud and big data technologies. The ideal candidate with 8-10 years of relevant experience, will possess strong technical skills, an eagerness to learn, a keen interest on 3 keys pillars that our team support i.e. Financial Crime, Financial Risk and Compliance technology transformation, the ability to work collaboratively in fast-paced environment, and an aptitude for picking up new tools and techniques on the job, building on existing skillsets as a foundation. In this role you will: Develop, maintain and optimize backend systems and RESTFul APIs using Python and Flask Proficient in concurrent processing strategies and performance optimization for complex architectures Write clean, maintainable and well-documented code Develop comprehensive test suites to ensure code quality and reliability Work independently to deliver features and fix issues, with a few hours of overlap for real-time collaboration Integrate backend services with databases and APIs Collaborate asynchronously with cross functional team members Participate in occasional team meetings, code reviews and planning sessions. Core/Must Have Skills. Should have minimum 6+ years of Professional Python Development experience. Should have Strong understanding of Computer science fundamentals (Data Structures, Algorithms). Should have 6+ years of experience in Flask and Restful API Development Should possess Knowledge on container technologies (Dockers, Kubernetes) Should possess experience on implementing interfaces in Python Should know how to use python generators for efficient memory management. Should have good understanding of Pandas, NumPy and Matplotlib library for data analytics and reporting. Should know how to implement multi-threading and enforce parallelism in python. Should know to various. Should know to how to use Global interpreter lock (GIL) in python and its implications on multithreading and multiprocessing. Should have a good understanding of SQL alchemy to interact with databases. Should posses’ knowledge on implementing ETL transformations using python libraries. Collaborate with cross-functional teams to ensure successful implementation techniques of performing list compressions in python of solutions. Good to have: Exposure to Data Science libraries or data-centric development Understanding of authentication and authorization (e.g. JWT, OAuth) Basic knowledge of frontend technologies (HTML/CSS/JavaScript) is a bonus but not required. Experience with cloud services (AWS, GCP or Azure) EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. RCE-Risk Data Engineer-Leads Job Description: - Our Technology team builds innovative digital solutions rapidly and at scale to deliver the next generation of Financial and Non- Financial services across the globe. The Position is a senior technical, hands-on delivery role, requiring the knowledge of data engineering, cloud infrastructure and platform engineering, platform operations and production support using ground-breaking cloud and big data technologies. The ideal candidate with 8-10 years of relevant experience, will possess strong technical skills, an eagerness to learn, a keen interest on 3 keys pillars that our team support i.e. Financial Crime, Financial Risk and Compliance technology transformation, the ability to work collaboratively in fast-paced environment, and an aptitude for picking up new tools and techniques on the job, building on existing skillsets as a foundation. In this role you will: Develop, maintain and optimize backend systems and RESTFul APIs using Python and Flask Proficient in concurrent processing strategies and performance optimization for complex architectures Write clean, maintainable and well-documented code Develop comprehensive test suites to ensure code quality and reliability Work independently to deliver features and fix issues, with a few hours of overlap for real-time collaboration Integrate backend services with databases and APIs Collaborate asynchronously with cross functional team members Participate in occasional team meetings, code reviews and planning sessions. Core/Must Have Skills. Should have minimum 6+ years of Professional Python Development experience. Should have Strong understanding of Computer science fundamentals (Data Structures, Algorithms). Should have 6+ years of experience in Flask and Restful API Development Should possess Knowledge on container technologies (Dockers, Kubernetes) Should possess experience on implementing interfaces in Python Should know how to use python generators for efficient memory management. Should have good understanding of Pandas, NumPy and Matplotlib library for data analytics and reporting. Should know how to implement multi-threading and enforce parallelism in python. Should know to various. Should know to how to use Global interpreter lock (GIL) in python and its implications on multithreading and multiprocessing. Should have a good understanding of SQL alchemy to interact with databases. Should posses’ knowledge on implementing ETL transformations using python libraries. Collaborate with cross-functional teams to ensure successful implementation techniques of performing list compressions in python of solutions. Good to have: Exposure to Data Science libraries or data-centric development Understanding of authentication and authorization (e.g. JWT, OAuth) Basic knowledge of frontend technologies (HTML/CSS/JavaScript) is a bonus but not required. Experience with cloud services (AWS, GCP or Azure) EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology Your Role And Responsibilities Scale an existing RAG code base for a production grade AI application Requirements: Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases Experience using LLMs in software applications, including prompting, calling, and processing outputs Experience with AI frameworks such as LangChain Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure 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. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. 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. Experience in python and pyspark will be added advantage Preferred Education Master's Degree Required Technical And Professional Expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . 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. Demonstrate a growth mindset to understand clients' business processes and challenges Preferred Technical And Professional Experience Pyspark, SQL, Python Job Description : Classical ML Model (either machine learning or deep learning) building experience with feature creation (not PoC experience)" Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

Job Title: Manager – Senior ML Engineer (Full Stack) About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes. Job Summary : The Manager – Senior ML Engineer (Full Stack) will be responsible for leading the development and integration of Generative AI (GenAI) technologies, writing code modules, and managing full-stack development projects. The ideal candidate will have a strong background in Python and a proven track record in machine learning and full-stack development. Required Skills Strong proficiency in Python programming. Experience with data analysis and visualization libraries like Pandas, NumPy, Matplotlib, and Seaborn. Proven experience in machine learning and AI development. Experience with Generative AI (GenAI) development and integration. Full-stack development experience, including front-end and back-end technologies. Proficiency in web development frameworks such as Django or Flask. Knowledge of machine learning frameworks such as TensorFlow, Keras, PyTorch, or Scikit-learn. Experience with RESTful APIs and web services integration. Familiarity with SQL and NoSQL databases, such as PostgreSQL, MySQL, MongoDB, or Redis. Experience with cloud platforms like AWS, Azure, or Google Cloud. Knowledge of DevOps practices and tools like Docker, Kubernetes, Jenkins, and Git. Proficiency in writing unit tests and using debugging tools. Effective communication and interpersonal skills. Ability to work in a fast-paced, dynamic environment. Knowledge of software development best practices and methodologies. Key Responsibilities Lead the development and integration of Generative AI (GenAI) technologies to enhance our product offerings. Write, review, and maintain code modules, ensuring high-quality and efficient code. Oversee full-stack development projects, ensuring seamless integration and optimal performance. Collaborate with cross-functional teams to define project requirements, scope, and deliverables. Manage and mentor a team of developers and engineers, providing guidance and support to achieve project goals. Stay updated with the latest industry trends and technologies to drive innovation within the team. Ensure compliance with best practices in software development, security, and data privacy. Troubleshoot and resolve technical issues in a timely manner. Qualifications Bachelor’s degree in computer science or an Engineering degree Minimum of 7 years of experience in machine learning engineering or a similar role. Demonstrated experience in managing technology projects from inception to completion.

Company Overview: Techmindz is a premier IT training institute located in Infopark, Kochi, backed by NDimensionz and recognized for industry‑aligned, hands‑on training programs with strong placement support. Key Responsibilities Conduct structured and interactive training sessions on core AI concepts including Machine Learning, Deep Learning, and Data Science tools. Develop and maintain engaging course content—slide decks, coding notebooks, real-world datasets, projects, and assessments. Guide students through hands-on labs, algorithm implementation, and use-case-based projects. Evaluate student progress via quizzes, assignments, capstone projects, and provide personalized feedback. Stay updated with the latest trends in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Collaborate with the curriculum team to refine learning paths and keep content industry-relevant. Contribute to faculty discussions to ensure quality training delivery and continuous improvement. Requirements Bachelor’s degree in Computer Science, Data Science, or a related field. 1–2 years of experience in AI/ML development or teaching/training in related domains. Strong grasp of supervised/unsupervised learning, neural networks, model evaluation, and data preprocessing. Hands-on experience with Python and key libraries (NumPy, Pandas, Scikit-learn, Matplotlib, TensorFlow/PyTorch). Familiarity with Jupyter Notebooks, version control (Git), and data visualization tools. Excellent communication and presentation skills with the ability to explain complex topics clearly. Prior teaching/training or mentorship experience is an added advantage. Exposure to real-world datasets, cloud AI tools (Google Colab, AWS SageMaker), or certifications is a bonus. How to Apply Send your resume (highlighting AI/ML projects, teaching exposure, and certifications if any) to: careers@techmindz.com Job Types: Full-time, Freelance Pay: ₹200,000.00 - ₹500,000.00 per year Education: Bachelor's (Preferred) Experience: total work: 1 year (Preferred) Teaching: 1 year (Preferred) Language: English (Preferred) Work Location: In person

We are seeking a skilled and motivated Data Scientist with 3–5 years of hands-on experience in data analytics, machine learning, and business intelligence. The ideal candidate will be responsible for deriving actionable insights from data, building predictive models, and supporting data-driven decision-making across various business units. Key Responsibilities: Analyze structured and unstructured datasets to extract insights and identify trends.Design and implement machine learning models for classification, regression, clustering, and recommendation. Collaborate with business stakeholders to understand objectives and translate them into data solutions. Perform data wrangling, preprocessing, feature engineering, and model validation. Build dashboards and reports using visualization tools like Power BI or Tableau. Present findings and recommendations to technical and non-technical audiences. Contribute to model deployment and monitoring processes. Required Skills & Qualifications: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 3–5 years of industry experience in a Data Scientist or similar role. Proficient in programming languages such as Python or R . Strong experience with data manipulation tools like pandas , NumPy , and machine learning libraries like scikit-learn , XGBoost , or TensorFlow/PyTorch . Solid knowledge of SQL and database querying. Experience with data visualization tools like Power BI , Tableau , or Matplotlib/Seaborn . Familiarity with version control (e.g., Git) and basic software development practices. Preferred Qualifications: Experience working with cloud platforms (AWS, Azure, or GCP). Exposure to big data tools (Spark, Hadoop) is a plus. Knowledge of NLP, time-series forecasting, or deep learning techniques is desirable. Strong problem-solving and communication skills. What We Offer: A collaborative, innovative work environment. Opportunities to work on real-world data challenges across industries. Access to modern tools, cloud platforms, and machine learning infrastructure. Competitive salary and performance-based incentives. Job Type: Full-time Pay: From ₹30,000.00 per month Benefits: Food provided Schedule: Day shift Work Location: In person

AI Analytics Intern Company Overview: Branding Pioneers, located at 750 Udyog Vihar, Phase 5, Gurgaon, is a renowned digital marketing agency specializing in tailored online marketing solutions, with a significant emphasis on the healthcare sector. Location: Gurgaon, Haryana Duration: 3-6 months About Branding Pioneers: Branding Pioneers is a premier digital marketing agency specializing in healthcare marketing. Our comprehensive services include SEO, social media marketing, content marketing, and influencer collaborations, all aimed at enhancing our clients' online presence and engagement. brandingpioneers.com Role Overview: As an AI Analytics Intern, you will work closely with our Data Science and AI teams to extract insights from complex datasets, build predictive models, and support data-driven decision-making across the organization. Key Responsibilities: Assist in collecting, cleaning, and organizing large datasets from various sources. Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies. Develop and test predictive models using machine learning algorithms. Use data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn) to present analytical findings. Interpret data and communicate insights to technical and non-technical stakeholders. Support the team in developing AI tools, dashboards, and reports. Collaborate on A/B testing and optimization initiatives. Document processes, models, and results for knowledge sharing. Qualifications: Currently pursuing or recently completed a Bachelor’s/Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Strong foundation in statistics, data analysis, and machine learning. Experience with Python (NumPy, Pandas, Scikit-learn), R, or SQL. Familiarity with visualization tools like Power BI, Tableau, or libraries like Plotly. Understanding of AI/ML concepts and data modeling techniques. Knowledge of cloud platforms (AWS, Google Cloud, Azure) is a plus. Excellent analytical and problem-solving skills. Strong communication and teamwork abilities. What You’ll Gain: Hands-on experience working with AI and analytics projects in a collaborative environment. Exposure to real business challenges and how AI-driven insights solve them. Mentorship from experienced AI and Data professionals. Opportunity to contribute to impactful projects with potential for a full-time offer. Job Type: Internship Contract length: 6 months Pay: 0 - 10 k per month Schedule: Day shift Ability to commute/relocate: Gurgaon, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): How many years of experience do you have in AI Analytics ? Location: Gurgaon, Haryana (Preferred) Willingness to travel: 25% (Preferred) Work Location: In person Application Deadline :1 August 2025 Expected Start Date :7 August 2025 Job Type: Full-time Pay: ₹5,000.00 - ₹10,000.00 per month Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Experience: Analytics: 1 year (Preferred) Location: Gurugram, Haryana (Preferred) Shift availability: Day Shift (Preferred) Willingness to travel: 25% (Preferred) Work Location: In person Application Deadline: 01/08/2025 Expected Start Date: 07/08/2025

Chicmic Studios Job Role: Data Scientist Experience Required: 3+ Years Skills Required: Data Science, Python, Pandas, Matplotlibs Job Description: We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Roles & Duties: Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions Required Skills & Qualifications: Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skills. Contact: 9875952836 Office Address: F273, Phase 8B industrial Area, Mohali, Punjab. Job Type: Full-time Education: Bachelor's (Required) Experience: Data science: 2 years (Required) Work Location: In person

Red & White Education Pvt Ltd , founded in 2008, is Gujarat's leading educational institute. Accredited by NSDC and ISO, we focus on Integrity, Student-Centricity, Innovation, and Unity. Our goal is to equip students with industry-relevant skills and ensure they are employable globally. Join us for a successful career path. Job Description: Faculties guide students, deliver course materials, conduct lectures, assess performance, and provide mentorship. Strong communication skills and a commitment to supporting students are essential. Key Responsibilities: Deliver high-quality lectures on AI, Machine Learning, and Data Science . Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. Additional Skills: Confident body language and clear communication. Strong classroom management and discipline skills. Punctual, prepared, and passionate about teaching. Open to learning and professional development. Proficient in verbal and written communication. Strong problem-solving, leadership, and decision-making abilities. Positive attitude and ability to work independently. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Cell phone reimbursement Flexible schedule Leave encashment Paid sick time Paid time off Schedule: Day shift Morning shift Supplemental Pay: Performance bonus Yearly bonus Application Question(s): Current Salary? Experience: Teaching / Mentoring: 1 year (Required) AI: 1 year (Required) ML: 1 year (Required) Data science: 1 year (Required) Location: Ahmedabad, Gujarat (Required) Work Location: In person