411 Plotly Jobs - Page 17

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

We are looking for a highly motivated and detail-oriented Data Scientist with 2–3 years of experience to join our growing team. The ideal candidate will have strong analytical skills, a solid foundation in machine learning, and the ability to translate data into actionable insights that drive business decisions. Responsibilities: Collect, clean, and preprocess structured and unstructured data from various sources. Develop, implement, and evaluate predictive models and machine learning algorithms. Perform statistical analyses to extract insights and support business strategies. Visualize and communicate results to stakeholders through dashboards, reports, and presentations. Collaborate with cross-functional teams to define data-driven approaches for business problems. Monitor and improve the performance of deployed models. Stay current with the latest research and developments in data science and machine learning. Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 2–3 years of hands-on experience in data science, machine learning, or a related role. Strong proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience with data visualization tools like Power BI, Tableau, or Plotly. Solid understanding of statistical methods, data modeling, and algorithm design. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) is a plus. Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills.

About the job: Key responsibilities: 1. Analyze large datasets from Li-Ion battery testing, including data from Incremental Capacity Analysis (ICA), Differential Voltage Analysis (DVA), Electrochemical Impedance Spectroscopy (EIS), and long-term cycling studies 2. Develop and implement machine learning models (supervised and unsupervised) to predict battery State-of-Health (SoH), State-of-Charge (SoC), and Remaining Useful Life (RUL) 3. Integrate physics-based models (e.g., equivalent circuit models, electrochemical models) with machine learning approaches for hybrid diagnostics and prognostics 4. Extract and engineer diagnostic features from raw battery data to identify degradation patterns and failure modes 5. Collaborate with hardware and embedded teams to integrate diagnostic algorithms into embedded platforms and cloud-based analytics tools 6. Visualize and communicate complex data insights effectively through dashboards, reports, and presentations 7. Stay updated with the latest research in battery diagnostics, degradation modeling, and advanced analytics Requirements: 1. Degree in electrical engineering, mechanical engineering, chemical engineering, computer science, data science, or a related field 2. Strong foundation in Machine Learning, Deep learning (RNN, CNN, GNN, Transfer Learning, etc.) 3. Strong knowledge of Li-Ion battery degradation mechanisms, including calendar aging, cycle aging, and thermal effects 4. Proficiency in Python (NumPy, pandas, scikit-learn, TensorFlow/PyTorch, matplotlib) and MATLAB/Simulink for modeling and data analysis 5. Hands-on experience with battery characterization techniques: ICA, DVA, EIS, OCV-SoC mapping, DCIR measurements 6. Familiarity with Kalman Filters, Particle Filters, and advanced machine learning models for time-series forecasting and anomaly detection Who can apply: Only those candidates can apply who: Salary: ₹ 5,00,000 - 8,00,000 /year Experience: 0 year(s) Deadline: 2025-06-18 23:59:59 Skills required: MATLAB, Python, Machine Learning, UI & UX Design, Simulink, Data Visualization, Amazon Web Services (AWS), Deep Learning, Battery Management Systems, RNN (Recurrent Neural Network), CNN (Convolutional Neural Network) and Plotly About Company: ThinkClock Battery Labs is an R&D-driven company focused on battery health analytics using spectroscopy techniques, namely EIS (electrochemical impedance spectroscopy), acoustic, and RF spectroscopy. We reveal the diagnostic insight about the battery health while relating the microscopic data of the battery to the observable system-level behavior with the help of the models based on physics and machine learning. ThinkClock offers lab-based battery characterization services (for performance and uniformity assessment) to cell OEMs and battery pack manufacturers. We are creating a cell benchmarking database for the commercially available cells using the lab-based characterization data to provide an independent source of truth for the system integrators. While leveraging our cell benchmarking database, we have developed a portable tool, CellScope, which can quickly assess the health of a cell using spectroscopic techniques.

Relocation Assistance Offered Within Country Job Number #166101 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. About Colgate-Palmolive Do you want to come to work with a smile and leave with one as well? In between those smiles, your day consists of working in a global organization, continually learning and collaborating, having stimulating discussions, and making impactful contributions! If this is how you see your career, Colgate is the place to be! Our dependable household brands, dedicated employees, and sustainability commitments make us a company passionate about building a future to smile about for our employees, consumers, and surrounding communities. The pride in our brand fuels a workplace that encourages creative thinking, champions experimentation, and promotes authenticity which has contributed to our enduring success. If you want to work for a company that lives by their values, then give your career a reason to smile...every single day. The Experience The Global Data Science & Advanced Analytics team in Colgate Palmolive is focused on working on commercial business cases which have a revenue impact for the business with recommended actions and scope for scalability across markets. The role requires working with cross functional teams and leaders across Information Technology (UI/UX Front End, Back end, ML Ops), data architecture, data engineering, division analytics leads and business teams, The Global Data Science & Advanced Analytics team is structured with Analytics Leads, Data Science Leads, Data Scientists and Analytics Engineers to solve business questions, provide actionable insights and drive growth for the organization. The role will lead a team of Data Scientists to develop scalable enterprise solutions from scratch in the areas of Marketing and Media Effectiveness, Marketing Mix Models, Revenue Growth Management, Category Forecasting. The role requires an understanding of Internal & external data sources (Syndicated Market Data, Point of Sales, Nielsen, SAP, Retailer ePOS etc.) and the ability to work with large datasets to derive insights and recommendations. The candidate should have proven ability to write scalable codes in SQL, Python, R to build and deploy statistical models, machine learning models in production using Airflow, conceptualize algorithms to guide the team to achieve the business objectives and goals. Knowledge of working on cloud environments (Google Cloud, Snowflake) is crucial. The candidate should be an analytical problem solver and be proactive and responsive to Business needs Communication is a prime requisite along with storytelling to present complex model insights in simple business language to the stakeholders. Who Are You You are a Data Science Expert and Leader working on solving Business Questions and leading a high performing Data Science and Advanced Analytics team An expert coder to write codes in SQL, Python to build scalable enterprise level data science solutions in Marketing Mix Modelling and Revenue Growth Management and to address business problems requiring descriptive, diagnostic, predictive, and / or prescriptive analytics Ability to write codes to build Regression Models, Machine Learning Models [ Ridge, Lasso, Logistic Regression, Bayesian Regression, Random Forests, XGBOOST, Optimization, Simulation ] at scale and then deploy models in production on cloud platforms using Airflow Leading, Mentoring, Coaching data scientists on key technical and domain topics through solution and code reviews to meet business objectives End to end accountability of quality of recommendations, insights and data science solutions developed and deployed in the organization globally You can prioritize multiple work assignments multi-task conflicting priorities and meet deadlines Excellent written and verbal communication. Good facilitation and project management skills You connect the dots - Understands business needs, business questions and identifies the right analytics capabilities to solve them Presentation and Storytelling of model results, insights, recommendation and actions to Marketing and Customer Development (Sales) team and to Division/Global Analytics Leads Communicate complex quantitative insights in a precise, and actionable manner to business stakeholders You are a collaborator - Work with cross functional teams in GIT, Data Architecture, Analytics Engineering to drive the delivery and project management of large scale enterprise wide data science solutions Work collaboratively with the Division Analytics/Global Analytics team and business partners across geographies located in different time zones. You are an innovator - Drive new value from insights by connecting external and internal data sources Bring in enhancements to the existing data science solutions / capabilities by exploring new solutions and techniques Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, exploring new data sources, re-designing infrastructure for greater scalability, etc. Qualifications What you’ll need Bachelor degree required [ Master's or MBA preferred ] in data science, computer science engineering, Information Technology, other engineering streams, a related quantitative and technical (Statistics, Business Analytics, Econometrics) 8+ years of data science and analytics experience in developing and deploying machine learning algorithms in a production environment Experience in setting up or managing a data science team is a must [ 2+ years ] Expert knowledge in all the following domains Marketing Mix Modeling, Revenue Growth Management, Optimization Techniques, Forecasting, Recommendation Engines, Marketing Analytics in CPG or Consulting Companies Extraordinary coding skills in SQL, Python, PySpark, R to implement statistical and machine learning algorithms like Linear Regression, Ridge, Lasso, PyMc, Bayesian Methods, GLMNET, Decision Trees, Random Forests, XGBOOST, SVM etc Strong knowledge of MLOPS using docker, airflow, kubernetes, databricks, dataiku on any cloud platform Proficient in Cloud Platforms - Google Cloud, Snowflake and experience dealing with high-volume, high-dimensionality data from varying sources (Cloud Platforms, Nielsen, SAP, Retailer ePOS; both structured and unstructured data) Experience in supporting and working with multi-functional teams in a dynamic environment Proficient in Reporting Insights, making and delivering presentation via Excel, Google Sheets, Google Slides, DOMO and any other Visualization Tools Proven Ability to provide structure and think strategically in complex business context and operate effectively in ambiguity Ability to independently plan and execute deliveries and be comfortable in a client / business facing role Exceptional communication & collaboration skills to understand business partner needs & deliver solutions. What You’ll Need (Preferred) Experience in building web apps using Pydash, Plotly, R Shiny, Streamlit Experience in Deep Learning, Reinforcement Learning, Image Recognition, AI algorithms, GenAI Experience with Databricks, Docker, Azure Data Factory Experience with machine learning API on cloud services: Azure, AWS, Vertex AI Our Commitment to Diversity, Equity & Inclusion Achieving our purpose starts with our people — ensuring our workforce represents the people and communities we serve —and creating an environment where our people feel they belong; where we can be our authentic selves, feel treated with respect and have the support of leadership to impact the business in a meaningful way. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. Show more Show less

Company :CBitss Technologies Experience : Minimum 2 years in Data Science Salary : Attractive package Immediate Joiner Required Role Overview: We're seeking a skilled Data Science, AI, and Python Development Trainer to deliver high-quality training sessions, workshops, and courses. The ideal candidate will have a deep understanding of these subjects and excellent communication skills. Key Responsibilities: 1. Conduct interactive training sessions on Data Science, AI, and Python 2. Develop course material aligned with industry standards 3. Mentor students through practical projects and coding challenges 4. Stay updated with latest developments in Data Science, AI, and Python 5. Provide personalized feedback and support to students 6. Collaborate with team to improve training programs Skills & Qualifications: 1. Strong expertise in Python programming (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) 2. Hands-on experience with Data Science, Machine Learning, and data analytics 3. Practical knowledge of AI applications and solutions 4. Excellent communication, presentation, and interpersonal skills 5. Experience in creating educational content and hands-on projects 6. Prior teaching or mentoring experience is a plus 7. Resident of Tricity region (Chandigarh, Mohali, Panchkula) Additional Skills: 1. Familiarity with cloud computing platforms (AWS, GCP, Azure) 2. Knowledge of data visualization tools (Matplotlib, Seaborn, Plotly) 3. Experience with SQL and data manipulation Why Join Us?: 1. Innovative, technology-driven team 2. Opportunity to work with cutting-edge tools and technologies 3. Competitive compensation 4. Contribute to shaping the future of data science and AI professionals How to Apply: Send your updated resume and brief cover letter highlighting your relevant experience to CBitss Technologies. #DataScienceJobs #DataScienceTrainer #DataScientist #AIJobs #MachineLearningJobs #PythonTrainer #DataAnalyticsJobs #DataScienceCareers #JobOpening #HiringNow #DataScienceTraining #ArtificialIntelligenceJobs #TechJobs #CareerOpportunity #DataScienceRecruitment Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹50,544.60 per month Benefits: Cell phone reimbursement Flexible schedule Health insurance Internet reimbursement Leave encashment Paid sick time Provident Fund Schedule: Day shift Morning shift Supplemental Pay: Overtime pay Performance bonus Ability to commute/relocate: Chandigarh, Chandigarh: Reliably commute or planning to relocate before starting work (Required) Experience: Data science: 2 years (Required) Location: Chandigarh, Chandigarh (Required) Work Location: In person

As an expectation a fitting candidate must have/be: Ability to analyze business problem and cut through the data challenges. Ability to churn the raw corpus and develop a data/ML model to provide business analytics (not just EDA), machine learning based document processing and information retrieval Quick to develop the POCs and transform it to high scale production ready code. Experience in extracting data through complex unstructured documents using NLP based technologies. Good to have : Document analysis using Image processing/computer vision and geometric deep learning Technology Stack: Python as a primary programming language. Conceptual understanding of classic ML/DL Algorithms like Regression, Support Vectors, Decision tree, Clustering, Random Forest, CART, Ensemble, Neural Networks, CNN, RNN, LSTM etc. Programming: Must Have: Must be hands-on with data structures using List, tuple, dictionary, collections, iterators, Pandas, NumPy and Object-oriented programming Good to have: Design patterns/System design, cython ML libraries : Must Have: Scikit-learn, XGBoost, imblearn, SciPy, Gensim Good to have: matplotlib/plotly, Lime/sharp Data extraction and handling: Must Have: DASK/Modin, beautifulsoup/scrappy, Multiprocessing Good to have: Data Augmentation, Pyspark, Accelerate NLP/Text analytics: Must Have: Bag of words, text ranking algorithm, Word2vec, language model, entity recognition, CRF/HMM, topic modelling, Sequence to Sequence Good to have: Machine comprehension, translation, elastic search Deep learning: Must Have: TensorFlow/PyTorch, Neural nets, Sequential models, CNN, LSTM/GRU/RNN, Attention, Transformers, Residual Networks Good to have: Knowledge of optimization, Distributed training/computing, Language models Software peripherals: Must Have: REST services, SQL/NoSQL, UNIX, Code versioning Good to have: Docker containers, data versioning Research: Must Have: Well verse with latest trends in ML and DL area. Zeal to research and implement cutting areas in AI segment to solve complex problems Good to have: Contributed to research papers/patents and it is published on internet in ML and DL Morningstar is an equal opportunity employer. Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We’ve found that we’re at our best when we’re purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues. I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

ML Engineers 3-10 yrs Hybrid/ Pune 2 days WFO Time: 2-11 or 10-7 Certifications: Big plus if they are certified ML Engineers. Skills: Python, SQl is a must and need strong exp. certified candidates scikit-learn, tensorflow, pytorch Scientific python libs : Numpy, pandas, pyspark, dask, matplotlib, transformers, plotly Generative AI , Cloud (Azure) - Cloud is for Senior roles Big Data is a huge Plus people who worked with larger sets, for ex: FMCG, retail, telecom, oil and gas upstream/ downstream.

Core Skills Required: 1. Programming & Backend Development: Python (most popular for trading bots) Node.js or PHP (if backend is needed in these stacks) Experience with APIs (REST, WebSocket) Experience in multi-threading/asynchronous programming 2. Forex Trading Knowledge: Understanding of forex market structures, order types, and broker integrations Familiarity with MT4/MT5 APIs, cTrader API, or brokers like IC Markets, Exness, etc. 3. Trading Strategy Implementation: Experience coding strategies using: Technical indicators (RSI, MACD, EMA, etc.) Price action or pattern recognition Backtesting frameworks like Backtrader, QuantConnect, or custom logic 4. Frontend Development (if dashboard/UI is required): React.js, Vue.js, or Angular Chart libraries like TradingView, Highcharts, or Plotly 5. Database & Logging: Experience with PostgreSQL, MySQL, or MongoDB Logging and monitoring of trades and bot performance 6. Security & Deployment: Secure handling of API keys and credentials Deployment experience on AWS, Heroku, or VPS SSL, user authentication, and access control 7. Bonus Skills (Very Useful): Machine learning experience for predictive models Knowledge of MetaTrader MQL4/5 if deep platform integration is needed Experience with Telegram/Discord bots for signals/alerts Soft Skills: Problem-solving mindset Ability to explain complex trading logic Good communication (to understand your strategies clearly) Job Type: Full-time Pay: From ₹25,000.00 per month Work Location: Hybrid remote in Lucknow, Uttar Pradesh

What you will do Lets do this. Lets change the world. In this vital role you will create and develop data lake solutions for scientific data that drive business decisions for Research. You will build scalable and high-performance data engineering solutions for large scientific datasets and collaborate with Research collaborators. You will also provide technical leadership to junior team members. The ideal candidate possesses experience in the pharmaceutical or biotech industry, demonstrates deep technical skills, is proficient with big data technologies, and has a deep understanding of data architecture and ETL processes. Roles & Responsibilities: Lead, manage, and mentor a high-performing team of data engineers Design, develop, and implement data pipelines, ETL processes, and data integration solutions Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks Develop and maintain data models for biopharma scientific data, data dictionaries, and other documentation to ensure data accuracy and consistency Optimize large datasets for query performance Collaborate with global multi-functional teams including research scientists to understand data requirements and design solutions that meet business needs Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate with Data Architects, Business SMEs, Software Engineers and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions Identify and resolve data-related challenges Adhere to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation What we expect of you We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Doctorate Degree OR Masters degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelors degree with 6 - 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma with 10 - 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field Preferred Qualifications: 3+ years of experience in implementing and supporting biopharma scientific research data analytics (software platforms) Functional Skills: Must-Have Skills: Proficiency in SQL and Python for data engineering, test automation frameworks (pytest), and scripting tasks Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing Excellent problem-solving skills and the ability to work with large, complex datasets Able to engage with business collaborators and mentor team to develop data pipelines and data models Good-to-Have Skills: A passion for tackling complex challenges in drug discovery with technology and data Good understanding of data modeling, data warehousing, and data integration concepts Good experience using RDBMS (e.g. Oracle, MySQL, SQL server, PostgreSQL) Knowledge of cloud data platforms (AWS preferred) Experience with data visualization tools (e.g. Dash, Plotly, Spotfire) Experience with diagramming and collaboration tools such as Miro, Lucidchart or similar tools for process mapping and brainstorming Experience writing and maintaining technical documentation in Confluence Understanding of data governance frameworks, tools, and best practices Professional Certifications: Databricks Certified Data Engineer Professional preferred Soft Skills: Excellent critical-thinking and problem-solving skills Good communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills

Job Title: Data Scientist – Python Location: Bhopal (Onsite) Experience: 1 to 3 Years Employment Type: Full-time About Us: At Brandsmashers Tech , we’re passionate about leveraging data to transform industries and empower decision-making. We work across domains like e-commerce, healthcare, agriculture, and education, delivering scalable, data-driven solutions. Join us and be part of a team shaping the future with technology and insights. Job Summary: We are looking for a Data Scientist proficient in Python to join our analytics and AI team. The ideal candidate will have hands-on experience with data preprocessing, statistical analysis, machine learning, and data visualization. You’ll play a key role in deriving actionable insights from data and developing intelligent solutions that drive business value. Key Responsibilities: Analyze large datasets to discover trends, patterns, and insights. Develop, test, and deploy machine learning models using Python libraries (e.g., scikit-learn, TensorFlow, PyTorch). Perform data cleaning, transformation, and feature engineering. Design and implement predictive models and algorithms. Visualize data insights using tools like Matplotlib, Seaborn, Plotly, or Power BI. Collaborate with cross-functional teams including engineering, product, and marketing to integrate data science solutions. Communicate findings to stakeholders through presentations and reports. Stay updated with latest advancements in data science and machine learning. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field. 2+ years of hands-on experience in data science or applied machine learning. Strong proficiency in Python and libraries like Pandas, NumPy, Scikit-learn, and Matplotlib. Experience with ML frameworks like TensorFlow, Keras, or PyTorch. Knowledge of SQL and data querying tools. Experience with model deployment is a plus (e.g., using Flask, FastAPI). Excellent problem-solving skills and analytical mindset. Strong communication and collaboration skills. Preferred Qualifications: Experience with cloud platforms (AWS, GCP, or Azure). Knowledge of big data tools (Spark, Hadoop) is a plus. Understanding of MLOps and automated pipelines. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹40,000.00 per month Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Weekend availability Ability to commute/relocate: Govindpura, Bhopal, Madhya Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Experience: Python: 3 years (Required) Data science: 2 years (Required) Language: English (Preferred) Work Location: In person Expected Start Date: 02/05/2025

Job Title : Data Science, AI, and Python Development Trainer Location : The Core Systems, Chandigarh Job Type : Full-time NOTE: The Candidate will only be selected if residing in the Chandigarh region the candidates who are not in the Chandigarh region and are ready to relocate will not be selected About The Core Systems : At The Core Systems, we are at the forefront of technology, providing cutting-edge solutions in Data Science, Artificial Intelligence, and Python development. Our mission is to empower individuals and organizations by imparting advanced technical skills that drive innovation. We are looking for a talented and passionate trainer to join our team in Chandigarh to teach and mentor the next generation of data scientists and AI professionals. Role Overview : As a Data Science, AI, and Python Development Trainer, you will be responsible for delivering high-quality training sessions, workshops, and courses in the domains of data science, AI, and Python programming. The ideal candidate will have a deep understanding of these subjects and the ability to communicate complex concepts clearly and effectively. Key Responsibilities : Conduct interactive and engaging training sessions on Data Science, Artificial Intelligence, and Python development. Develop course material, tutorials, and resources that are aligned with industry standards and emerging trends. Mentor and guide students through practical hands-on projects, coding challenges, and real-world applications. Stay up-to-date with the latest developments in the fields of Data Science, AI, and Python to ensure training material remains relevant and current. Provide personalized feedback and support to students, helping them overcome challenges and achieve their learning goals. Collaborate with the team to continuously improve training programs and student outcomes. Skills & Qualifications : Strong expertise in Python programming, including libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, and others. Hands-on experience with Data Science and Machine Learning techniques, algorithms, and best practices as well as data analytics. Practical knowledge of Artificial Intelligence applications and solutions. Ability to break down complex technical topics into easy-to-understand lessons for learners at all levels. Excellent communication, presentation, and interpersonal skills. Experience in creating educational content and hands-on projects. Prior teaching or mentoring experience is a plus. Must be a resident of or currently staying in the Tricity region (Chandigarh, Mohali, Panchkula). Additional Skills Familiarity with cloud computing platforms (AWS, GCP, Azure). Knowledge of data visualization tools like Matplotlib, Seaborn, Plotly, etc. Experience with SQL and data manipulation. A degree or certification in Data Science, Computer Science, AI, or a related field. Why Join Us? Be part of an innovative, technology-driven team. Opportunity to work with cutting-edge tools and technologies. Competitive compensation. Contribute to shaping the future of data science and AI professionals. How to Apply : If you are passionate about teaching and have the expertise in Data Science, data analysis AI, and Python, we want to hear from you! Please send your updated resume, along with a brief cover letter highlighting your relevant experience and why you are a great fit for the role Walkin with resume to The Core Systems 3rd floor Sco 198-200 Sec34 A Chandigarh Deadline for Applications : 13 May 2025 We look forward to receiving your application and welcoming you to The Core Systems team! Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹24,000.00 per month Schedule: Day shift Experience: Python , Data science: 1 year (Required) Location: Chandigarh, Chandigarh (Required) Work Location: In person Application Deadline: 13/05/2025 Expected Start Date: 13/05/2025