Get alerts for new jobs matching your selected skills, preferred locations, and experience range.
0.0 - 2.0 years
0 Lacs
Goldwins, Coimbatore, Tamil Nadu
On-site
We are looking for a Data Scientist with a strong foundation in Python and a basic understanding of technologies such as Power BI, Pandas, SQL, Machine Learning, and related frameworks. Roles & Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Develop, test, and deploy machine learning models. Use tools and libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib for data analysis and visualization. Create dashboards and reports using tools like Power BI or Tableau. Collaborate with cross-functional teams to understand business problems and deliver data-driven solutions. Participate in code reviews and maintain clear, well-documented code. Continuously learn and stay updated with new technologies and techniques in data science. Requirements: Bachelorβs degree in Computer Science, Information Technology, or a related field. 1 to 2 years of experience as a Data Analyst or Data Scientist. Basic knowledge of front-end technologies such as HTML, CSS, JavaScript, or any other front-end framework. Understanding of RESTful APIs and database concepts (POSTGRESQL & MYSQL). Familiarity with data analysis tools and libraries (e.g., Pandas, NumPy) and basic knowledge of Machine Learning frameworks. Strong problem-solving skills and a willingness to learn. Good communication and teamwork abilities. Send your Resume: rajeshkumar.t@astralbusinessconsulting.com Job Type: Full-time Benefits: Health insurance Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Ability to commute/relocate: Goldwins, Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person Application Deadline: 06/06/2025 Expected Start Date: 09/06/2025
Posted 2 weeks ago
0 years
0 Lacs
India
Remote
Job Title: Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities β Collect, preprocess, and analyze large datasets. β Develop predictive models and machine learning algorithms . β Perform exploratory data analysis (EDA) to extract meaningful insights. β Create data visualizations and dashboards for effective communication of findings. β Collaborate with cross-functional teams to deliver data-driven solutions . Requirements π Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . π Proficiency in Python or R for data analysis and modeling. π§ Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . π Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . π§ Strong analytical and problem-solving skills. π£ Excellent communication and teamwork abilities. Stipend & Benefits π° Stipend: βΉ7,500 - βΉ15,000 (Performance-Based). β Hands-on experience in data science projects . β Certificate of Internship & Letter of Recommendation . β Opportunity to build a strong portfolio of data science models and applications. β Potential for full-time employment based on performance. How to Apply π© Submit your resume and a cover letter with the subject line "Data Science Intern Application." π Deadline: 31st May 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! π Show more Show less
Posted 2 weeks ago
3.0 - 5.0 years
0 Lacs
Gurugram, Haryana, India
On-site
Company Profile 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. Process Mining β DE / DS Key Performance Indicators Assessment & Responsibilities Experience in Data Connection, extraction from different systems including both clouds based and On-Premises systems (e.g. Azure, Oracle, SAP, BMC, SNOW, Salesforce etc.) and transformation & loading into the process mining tool. Support validation of data (counts, values between source systems and process mining tool). Understanding of process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Experience / basic knowledge working with ERP and other similar systems (e.g. Azure, Oracle, SAP, BMC) & understanding of basic data structure, reports, formats etc. from multiple source systems. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities (desired). Understanding of data modelling, data structure, reports, formats etc. from multiple source systems. Process mapping and identifying nonvalue add steps to create lean and agile processes. Basic knowledge on ERP processes like, HLS / FNA/ /Banking / E&U / HRO etc. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Critical thinking and creative problem-solving skills, as well as the ability to apply theoretical concepts and best practices to solve business problems. Basic understanding of IT application lifecycle and methods. Able to visualize & create dashboards on KPIs in line with client expectations. Required Technical Skills 3 to 5 years of experience with analysis, ETL, Data Engineering, etc platforms. Experience with ETL / ELT and BI tools (e.g., Tableau, Power BI etc.) Experience in SQL / PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. Joins, union, windows f(x) etc. Knowledge of process improvement techniques / tools and Process Mining / Analytics. Good knowledge of Python Scripting should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc). Experience in any Process / Task Mining Tool (e.g Celonis, Apromore, Soroco etc). Understanding of enterprise systems (ERP, CRM, etc.) OR CRM/Order Management Systems (Preferably SAP / Oracle / MS Dynamics/ SNOW/ Salesforce / Remedy). Experience in ML modelling via Python or R will be plus. Soft Skills Strong communication and presentation skills & quick learner. Ability to learn new technologies and process improvement techniques. Ability to work in various time zones to support various global rollouts. Education University degree in Computer Science / Information Technology/ Data Scientist Diploma / Certification. β οΈ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses. Show more Show less
Posted 2 weeks ago
0 years
0 Lacs
Patel Nagar, Delhi, India
Remote
As the digital revolution continues to reshape the Indian workforce, remote work opportunities are flourishing across major cities like Chennai . Once known predominantly for its IT and manufacturing industries, Chennai is now becoming a hotspot for professionals seeking work-from-home jobs . But landing a good remote role isnβt just about applying β itβs about having the right skills that employers are actively looking for. In this article, weβll explore the top high-demand skills for remote jobs in Chennai for 2025, how to acquire them, and why they matter. Whether youβre a fresher, mid-level professional, or someone planning a career switch, this guide will help you boost your remote work readiness. Why Remote Work is Thriving in Chennai Before diving into the skillsets, here are a few reasons why remote work has taken off in Chennai: IT Ecosystem: Home to major IT hubs like Tidel Park, Chennai has a high concentration of tech talent. Startups & SMEs: Increasing number of Chennai-based startups and SMEs are adopting hybrid or fully remote models. Cost Efficiency: Remote operations reduce overhead costs for companies, making remote hiring more appealing. Talent Pool: Chennai boasts a steady supply of educated graduates, especially in tech and commerce fields. Now, letβs explore the most in-demand skills for work-from-home jobs in Chennai. Software Development and Programming One of the highest-paid and most sought-after skills in the remote job market. Key Programming Languages: Python JavaScript Java C# PHP Frameworks & Tools: React, Angular (Frontend) Node.js, Django, Flask (Backend) GitHub, Docker, Kubernetes Suitable Remote Roles: Full-Stack Developer Front-End Developer DevOps Engineer Mobile App Developer Digital Marketing With more businesses going online, digital marketing professionals are in huge demand. Important Sub-Skills: Search Engine Optimization (SEO) Social Media Marketing (SMM) Email Marketing Google Ads / Facebook Ads Content Marketing Popular Tools: SEMrush, Ahrefs Canva, Adobe Suite Google Analytics HubSpot, Mailchimp Remote Job Titles: Digital Marketing Executive SEO Specialist Content Strategist Social Media Manager Also Read: Top Companies Offering Remote Jobs in Pune Data Analysis and Data Science Companies need data to make decisions β and they need analysts to interpret that data. Must-Have Skills: MS Excel (Advanced) SQL Python (Pandas, NumPy, Matplotlib) Power BI or Tableau Machine Learning basics (for Data Science roles) Common Remote Roles: Data Analyst Business Intelligence Analyst Junior Data Scientist Cloud Computing As more companies migrate their operations to the cloud, certified cloud professionals are in high demand. Key Platforms: Amazon Web Services (AWS) Microsoft Azure Google Cloud Platform (GCP) Certifications That Help: AWS Certified Solutions Architect Microsoft Certified Azure Administrator Google Associate Cloud Engineer Remote Roles: Cloud Engineer Solutions Architect Cloud Security Analyst UI/UX Design A critical component of any product or website, UI/UX design is a skill that can be done entirely remotely. Core Skills: Wireframing and Prototyping User Research User Journey Mapping Tools To Learn: Figma Adobe XD Sketch InVision Remote Job Roles: UI/UX Designer Product Designer Interaction Designer Content Writing and Copywriting Chennai has seen a surge in content marketing jobs, especially among startups and media companies. Types Of Writing In Demand: Blog and SEO content Technical writing Copywriting for ads Scriptwriting for YouTube Tools & Platforms: Grammarly Surfer SEO / Clearscope WordPress Notion Ideal Roles: Content Writer Copywriter Technical Writer SEO Content Strategist Virtual Assistance and Administration Many businesses and solopreneurs are outsourcing administrative tasks to remote virtual assistants . Important Skills: Email and Calendar Management Customer Support Data Entry Booking and Scheduling Common Tools: Microsoft Office / Google Workspace Zoom / Skype / Teams Trello / Asana CRM Tools like Zoho, Salesforce In-Demand Roles: Virtual Assistant Admin Executive Online Customer Support Sales and Lead Generation Remote sales has become easier and more efficient with tools and automation platforms. Skills To Master: Cold Calling and Emailing CRM management Market Research Funnel Optimization Useful Tools: LinkedIn Sales Navigator Salesforce / HubSpot Google Sheets & CRM dashboards Suitable Positions: Inside Sales Executive Lead Generation Specialist Business Development Associate E-commerce Management From managing inventory to handling listings, e-commerce roles are booming in Chennai. Skills You Need: Product Listing (Amazon, Flipkart, Shopify) Order and Inventory Management Customer Handling Basic Graphic Designing for Product Images Tools: Shopify WooCommerce Amazon Seller Central Canva, Photoshop Job Titles: E-commerce Executive Marketplace Manager Product Listing Specialist Also Read: Work from Home Jobs in Chennai for Freshers: Start Your Career Remotely Language and Communication Skills Regardless of your domain, clear communication is a must for remote roles. Skills To Focus On: English Proficiency (Spoken and Written) Report Writing Active Listening Presentation Skills Useful Tools: Grammarly Hemingway Editor Google Docs MS PowerPoint This is especially vital for client-facing roles , including sales, marketing, support, and HR. Bonus: Top Work-from-Home Certifications to Consider If youβre serious about getting a remote job, consider earning one or more of these certifications: Google Digital Marketing Certification (Free) HubSpot Content Marketing Certification AWS Certified Cloud Practitioner Courseraβs Python for Everybody Tableau Desktop Specialist Udemyβs Virtual Assistant Masterclass Figma UI/UX Design Bootcamp These can add credibility to your resume and increase your chances of remote hiring in Chennai. How To Learn These Skills From Home You donβt need to attend physical classes to acquire these skills. Here are some platforms that offer remote-friendly learning : Coursera edX Udemy LinkedIn Learning Simplilearn Great Learning (India-based) Tips to Succeed in Work-from-Home Jobs Build a professional remote-friendly resume highlighting tools and platforms youβve used. Create a LinkedIn profile and join Chennai-specific remote job groups. Maintain a structured routine to balance productivity and well-being. Stay updated with emerging tools in your industry. Conclusion β Work-from-Home Jobs in Chennai With Chennaiβs fast-evolving digital ecosystem, remote work is not a trend β itβs the future . But success in this environment depends largely on your skill set, adaptability, and continuous learning . Whether you want to be a software developer, digital marketer, writer, or support executive, now is the perfect time to invest in high-demand skills and build a sustainable remote career. By aligning your talents with market needs, youβll open doors to high-paying, flexible roles that were once out of reach. So start learning, practicing, and applying β your dream remote job in Chennai is waiting. FAQs: Work-from-Home Jobs in Chennai Q1. Which remote jobs in Chennai are best for freshers? A: Content writing, customer support, virtual assistance, and digital marketing are great remote job options for freshers. Q2. Do I need a degree to get a work-from-home job in Chennai? A: Not always. Skills, certifications, and relevant experience often matter more than formal degrees for remote jobs. Q3. How much can I earn from a remote IT job in Chennai? A: Salaries range from βΉ3 LPA for junior developers to βΉ20 LPA+ for senior full-stack developers. Q4. Are there part-time work-from-home jobs in Chennai? A: Yes, especially in content writing, online tutoring, virtual assistance, and sales support. Q5. Can I get remote work in Chennai without technical skills? A: Absolutely. Roles in writing, digital marketing, support, HR, and data entry are open to non-tech professionals. Q6. Which platforms are best for finding remote jobs in Chennai? A: LinkedIn, Naukri.com, Internshala, Upwork, and CareerCartz are great starting points. Q7. How important is English for remote work? A: Very important, especially in communication-based and international client-facing roles. Q8. What are the top tools to learn for remote work? A: Tools like Zoom, Trello, Slack, Google Workspace, Canva, and Microsoft Office are widely used. Q9. Is freelancing considered remote work? A: Yes, freelancing is a popular form of remote work, particularly in writing, design, and programming. Q10. How do I build a remote-friendly resume? A: Focus on your remote tools expertise, relevant certifications, and accomplishments. Include links to portfolios if applicable. Related Posts: The Pros and Cons of Working Remote Data Entry Jobs How to Write A Proposal to Work From Home Top Remote Front End Developer Jobs Hiring in 2025 Best Remote SEO Jobs to Work From Home in 2025 Best Remote Accounting Jobs for Professionals in 2025 Work From Home Jobs Without Investment & Daily Payment with Mobile [2025 Guide] Work From Home Statutory Employee: What You Need to Know in the U.S. Top Companies in Chennai Offering Remote Jobs in 2025 Show more Show less
Posted 2 weeks ago
0.0 - 1.0 years
3 - 4 Lacs
Noida
Work from Office
Key Responsibilities: Assist in the design, development, and deployment of Python-based AI/ML models and applications. Work with senior developers and data scientists to preprocess data, train models, and evaluate performance. Write clean, scalable, and efficient Python code for automation, data analysis, and AI pipelines. Participate in brainstorming sessions, code reviews, and team meetings. Document project requirements, processes, and results. Required Skills: Strong foundation in Python programming. Basic understanding of Machine Learning concepts and algorithms. Familiarity with libraries such as NumPy, Pandas, Matplotlib, and scikit-learn. Good analytical and problem-solving skills. Willingness to learn new technologies and take initiative. Good to Have: Exposure to deep learning frameworks like TensorFlow or PyTorch. Experience with Jupyter Notebooks, Git/GitHub, or any version control system. Academic projects or internships related to AI/ML or Python development. Eligibility Criteria: B.E./B.Tech/MCA/M.Sc. in Computer Science, IT, or related field (2023/2024 pass-out preferred). Strong academic track record with a passion for AI and software development. What We Offer: Hands-on experience on real-world AI/ML projects. Mentorship and training by experienced professionals. Dynamic and collaborative work environment. Career growth opportunities in AI and software development domains.
Posted 2 weeks ago
0 years
0 Lacs
Pune, Maharashtra, India
On-site
Job role- Software Engineer- (C/C++) Location- Pune Work Mode - Hybrid mode- 3 daysβ work from Office Experience- 8+ Yrs Roles & Responsibilities: - As acoustic development engineer, you will work in the Product Development team that is responsible of the Actran software development. Your main responsibilities will include: β’ Development of new features in Actran, matching with industrial expectations (accuracy, performance, robustness); β’ Participation to acoustic research topics β’ Recommendations on new technologies to be integrated in Actran to solve new challenges efficiently; β’ Interfaces with third party software when required; β’ Work on bug fixes; β’ Identify software design problems and devise elegant solutions. Quality Assurance (QA), industrial validation and software documentation benefit from daily interactions with dedicated teams. Profile β’ PhD in Applied Sciences, Computer Sciences (or equivalent by experience) β’ Programming skills in Python and C++ β’ Experience with a commercial structural dynamics solver (Nastran, Abaqus, Ansys, Optistruct) β’ Experience in programming on Linux environment β’ Experience in acoustic research, β’ Some experience in the design of complex object-oriented software : o C++: generic programming, Standard Template Library, boost libraries; o Python: C-bindings, python extension libraries, numpy, scipy, matplotlib. o Familiar with versioning system GIT, CI/CD development processes and containerization tools o Experience in Qt framework and VTK library is a plus o Basic knowledge of CAE-FEM tools (Ansa, Catia, Hypermesh) is a plus β’ Soft skills including being creative, self-learner autonomous, curious, capable of thinking out of the box, solution-oriented attitude, quality awareness, team spirit and flexibility β’ With good level of English. Show more Show less
Posted 2 weeks ago
0 years
0 Lacs
Mumbai, Maharashtra, India
On-site
β’ Develop strategies/solutions to solve problems in logical yet creative ways, leveraging state-of-the-art machine learning, deep learning and GEN AI techniques. β’ Technically lead a team of data scientists to produce project deliverables on time and with high quality. β’ Identify and address client needs in different domains, by analyzing large and complex data sets, processing, cleansing, and verifying the integrity of data, and performing exploratory data analysis (EDA) using state-of-the-art methods. β’ Select features, build and optimize classifiers/regressors, etc. using machine learning and deep learning techniques. β’ Enhance data collection procedures to include information that is relevant for building analytical systems, and ensure data quality and accuracy. β’ Perform ad-hoc analysis and present results in a clear manner to both technical and non-technical stakeholders. β’ Create custom reports and presentations with strong data visualization and storytelling skills to effectively communicate analytical conclusions to senior officials in a company and other stakeholders. β’ Expertise in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques. β’ Strong programming skills in Python. β’ Excellent communication and interpersonal skills, with the ability to present complex analytical concepts to both technical and non-technical stakeholders. Primary Skills : - Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision and GEN AI. Good applied statistics skills, such as distributions, statistical inference & testing, etc. - Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). - Proficient in coding in common data science language & tools such as R, Python. - Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc. - Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost,etc. - Exposure or knowledge in cloud (Azure/AWS). - Experience on deployment of model in production. Show more Show less
Posted 2 weeks ago
0 years
0 Lacs
India
Remote
Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 31st May 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: βΉ7,500 - βΉ15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds. Show more Show less
Posted 2 weeks ago
2.0 - 4.0 years
0 Lacs
Hyderabad, Telangana, India
On-site
Job Description Navtech is looking for a AI/ML Engineer to join our growing data science and machine learning team. In this role, you will be responsible for building, deploying, and maintaining machine learning models and pipelines that power intelligent products and data-driven decisions. Working as an AI/ML Engineer at Navtech, you will : Design, develop, and deploy machine learning models for classification, regression, clustering, recommendations, or NLP tasks. Clean, preprocess, and analyze large datasets to extract meaningful insights and features. Work closely with data engineers to develop scalable and reliable data pipelines. Experiment with different algorithms and techniques to improve model performance. Monitor and maintain production ML models, including retraining and model drift detection. Collaborate with software engineers to integrate ML models into applications and services. Document processes, experiments, and decisions for reproducibility and transparency. Stay current with the latest research and trends in machine learning and AI. Who Are We Looking for Exactly ? 2- 4 years of hands-on experience in building and deploying ML models in real-world applications. Strong knowledge of Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar. Experience with data preprocessing, feature engineering, and model evaluation techniques. Solid understanding of ML concepts such as supervised and unsupervised learning, overfitting, regularization, etc. Experience working with Jupyter, pandas, NumPy, and visualization libraries like Matplotlib or Seaborn. Familiarity with version control (Git) and basic software engineering practices. You consistently demonstrate strong verbal and written communication skills as well as strong analytical and problem-solving abilities You should have a masters degree /Bachelors (BS) in computer science, Software Engineering, IT, Technology Management or related degrees and throughout education in English medium. Well REALLY Love You If You Have knowledge of cloud platforms (AWS, Azure, GCP) and ML services (SageMaker, Vertex AI, etc.) Have knowledge of GenAI prompting and hosting of LLMs. Have experience with NLP libraries (spaCy, Hugging Face Transformers, NLTK). Have familiarity with MLOps tools and practices (MLflow, DVC, Kubeflow, etc.). Have exposure to deep learning and neural network architectures. Have knowledge of REST APIs and how to serve ML models (e.g., Flask, FastAPI, Docker). Why Navtech? Performance review and Appraisal Twice a year. Competitive pay package with additional bonus & benefits. Work with US, UK & Europe based industry renowned clients for exponential technical growth. Medical Insurance cover for self & immediate family. Work with a culturally diverse team from different us : Navtech is a premier IT software and Services provider. Navtechs mission is to increase public cloud adoption and build cloud-first solutions that become trendsetting platforms of the future. We have been recognized as the Best Cloud Service Provider at GoodFirms for ensuring good results with quality services. Here, we strive to innovate and push technology and service boundaries to provide best-in-class technology solutions to our clients at scale. We deliver to our clients globally from our state-of-the-art design and development centers in the US & Hyderabad. Were a fast-growing company with clients in the United States, UK, and Europe. We are also a certified AWS partner. You will join a team of talented developers, quality engineers, product managers whose mission is to impact above 100 million people across the world with technological services by the year 2030. (ref:hirist.tech) Show more Show less
Posted 2 weeks ago
12.0 - 15.0 years
20 - 25 Lacs
Bengaluru
Work from Office
Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Communications & Media - AI & Data Architectures Title :- Ind & Func AI Value Strategy Manager Job location :- Bangalore, Hyderabad About S&C - Global Network:- Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? Accenture has committed to invest USD 3Billion into GenAI in the next 3 years. We will continually invest in your learning and growth. Youll work with Accenture's highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. You'll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. What you would do in this role ML Maturity Assessment: Conduct comprehensive assessments of the organizations ML maturity, identifying strengths, weaknesses, and areas for improvement. Provide strategic recommendations to enhance the overall ML capability and align it with business objectives. ML Ops Roadmap & Processes: Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring. Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems. Implementation of Gen AI Solutions: Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions. Incubating and Designing: Proactively identify opportunities for ML and Gen AI applications within the organization. Work closely with cross-functional teams to incubate and design bespoke ML solutions tailored to business requirements. Technical Leadership: Provide technical leadership and mentorship to data scientists, engineers, and other team members. Collaborate with stakeholders to ensure alignment between technical solutions and business objectives. Collaboration and Communication: Collaborate with business stakeholders to understand their needs and translate them into ML and Gen AI requirements. Effectively communicate complex technical concepts to non-technical audiences. Qualifications Who we are looking for? Bachelors or advanced degree in Computer Science, Data Science, or a related field. Over 12 years of hands-on experience in machine learning, with a focus on architecting end-to-end solutions. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Demonstrable hands-on experience in designing & flawlessly operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Extensive experience in implementing Generative AI solutions, including incubation, design, and deployment. Strong proficiency in deep learning frameworks such as TensorFlow and PyTorch. In-depth knowledge of ML Ops best practices and processes. Excellent problem-solving skills and ability to design scalable and reliable ML architectures. Strong leadership and communication skills, with a track record of leading successful ML initiatives. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques: TensorFlow, PyTorch, Scikit-learn, Keras NumPy, Pandas Matplotlib, Seaborn TensorFlow Serving, Docker and Kubernetes Good software engineering practices, including code modularization, documentation, and testing. Experience with API , Integration architecture , microservices If you are a visionary Machine Learning Architect with a passion for advancing ML maturity, implementing cutting-edge Gen AI solutions, and driving innovation, we invite you to apply and contribute to our organizations success. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.
Posted 2 weeks ago
3.0 - 5.0 years
5 - 7 Lacs
Bengaluru
Work from Office
Entity :- Accenture Strategy & Consulting Team :- Global Network - Data & AI Practice :- Marketing A nalytics Title :- Level 09 - Ind & Func AI Decision Science Consultant Job location :- Gurgaon / Bangalore / Mumbai About Strategy & Consulting Global Network :- Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways.Β’"Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? As part of our Analytics practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. In S&C GN - Data & AI you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. Accenture will continually invest in your learning and growth. You'll work with MMM experts, and Accenture will support you in growing your own tech stack and certifications Qualifications What you would do in this role Working through the phases of project Define data requirements for creating a model and understand the business problem Clean, aggregate, analyze, interpret data and carry out quality analysis of it 3+ years of experience of Market Mix Modeling and related concepts of optimizing promotional channels and budget allocation Experience in working with nonlinear optimization techniques. Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering Hands on experience in python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborne, Pycaret, Matplotlib Development of AI/ML models Develop and Manage data pipelines Develop and Manage Data within different layers of Snowflake Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling marketing mix models. Working along with the team and consultant/manager Looking for insight and creating a presentation to demonstrate these insights Supporting development and maintenance of proprietary marketing techniques and other knowledge development projects Basic level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track and report progress Who we are looking for? 3+ years for consultant of work experience in consulting/analytics with reputed organization is desirable Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL language and at-least one cloud-based technologies (Azure, AWS, GCP) Must have good knowledge of Market mix modeling techniques and optimization algorithms and applicability to industry data Must have data migration experience from cloud to snowflake (Azure, GCP, AWS) Managing sets of XML, JSON, and CSV from disparate sources. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, Java, SQL, Spark etc. Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, Neural Network etc. Proficient in Excel, MS word, PowerPoint, etc. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.
Posted 2 weeks ago
3.0 - 8.0 years
5 - 10 Lacs
Hyderabad
Work from Office
Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (example:AWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills:-Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Qualifications 15 years full time education
Posted 2 weeks ago
5.0 - 10.0 years
17 - 20 Lacs
Bengaluru
Work from Office
Management Level: Ind&Func AI Decision Science Manager Location: Gurgaon, Bangalore Must-Have Skills: Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods:SVM, Decision Trees, Programming Languages & Tools:Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP). Good-to-Have Skills: Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis). Job Summary We are seeking a skilled Ind & Func AI Decision Science Manager to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. This role will focus on Market Mix Modeling (MMM), where you will be responsible for developing AI/ML models, optimizing promotional channels, managing data pipelines, and working on scaling marketing mix models across cloud platforms. This role offers an exciting opportunity to collaborate with leading financial clients and leverage cutting-edge technology to drive business impact and innovation. Roles & Responsibilities Engagement Execution Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions. Apply advanced statistical techniques and machine learning models to improve marketing effectiveness. Collaborate with clients to develop tailored market mix models, delivering data-driven insights to optimize their marketing budgets and strategies. Develop Proof of Concepts (PoC) for clients, including scoping, staffing, and execution phases. Practice Enablement Mentor and guide analysts, consultants, and managers to build their expertise in Market Mix Modeling and analytics. Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and the development of new methodologies. Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events. Opportunity Development Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients. Work closely with deal teams to provide subject matter expertise in MMM, ensuring the development of high-quality client proposals and responses to RFPs. Client Relationship Development Build and maintain strong, trusted relationships with internal and external clients. Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance. Professional & Technical Skills 5+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques. Strong knowledge of nonlinear optimization, AI/ML models, and advanced statistical techniques for marketing. Proficiency in programming languages such as Python, NumPy, Pandas, Sklearn, Seaborne, Pycaret, and Matplotlib. Experience with cloud platforms such as AWS, Azure, or GCP and data migration to Snowflake. Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis). Hands-on experience in managing data pipelines and deploying scalable machine learning architectures. Additional Information Masters degree in Statistics, Econometrics, Economics, or related fields from reputed universities. Ph.D. or M.Tech is a plus. Excellent communication and interpersonal skills to effectively collaborate with global teams and clients. Willingness to travel up to 40% of the time. Work on impactful projects to help clients optimize their marketing strategies through advanced data-driven insights. About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: 5+ years of advanced experience in Market Mix Modeling (MMM) and related optimization techniques for promotional channels and budget allocation 2+ years for Analysts & 4+ years for Consultants of experience in consulting/analytics with reputed organizations Educational Qualification: Masters degree in Statistics, Econometrics, Economics, or related fields from reputed institutions Ph.D. or M.Tech in relevant fields is an advantage
Posted 2 weeks ago
0 years
0 Lacs
Chennai, Tamil Nadu, India
On-site
About Deepkore Deepkore lets you transform ideas into powerful enterprise applications that adapt to your business needs. One platform. No coding. Completely hassle-free. We're revolutionizing how businesses build and deploy enterprise applications through our no-code platform that combines intuitive design with AI-powered intelligence. Transform your business and boost productivity with Deepkoreβeffortlessly build enterprise apps that keep pace with your business's rapid growth, all without writing a single line of code. You'll join our growing engineering team as we enhance our platform with cutting-edge AI capabilities that make application building even more intelligent and intuitive for our enterprise customers. The Role Join our AI team as an AI Intern and help build the next generation of intelligent features for Deepkore's no-code enterprise platform. You'll work at the intersection of machine learning and full-stack development, creating AI solutions that make application building more intuitive and powerful for enterprise users. This isn't just about building modelsβyou'll see your work integrated into a platform that transforms how businesses create and deploy applications. What You'll Do Core Responsibilities Build & Deploy ML Models: Develop recommendation engines, predictive analytics models, and NLP features for our core platform Data Analysis & Insights: Analyze user behavior patterns and product metrics to identify AI enhancement opportunities Full-Stack Integration: Collaborate with our MERN stack team to seamlessly integrate AI features into our web application Prototype & Experiment: Rapidly test new AI-driven features using A/B testing and user feedback Documentation & Presentation: Create technical documentation and present findings to cross-functional teams Specific Projects You Might Work On Smart App Generation: AI-powered suggestions for app structures and workflows based on business requirements Intelligent Component Recommendations: ML models that suggest optimal UI components and data flows Natural Language App Building: NLP interfaces that convert business descriptions into functional app prototypes Automated Testing & Optimization: AI systems that test and optimize app performance automatically Smart Data Integration: ML-powered connectors that intelligently map and transform enterprise data sources What We're Looking For Required Qualifications Currently pursuing B.E in Computer Science with Artificial Intelligence Strong Python Skills: Proficient with scikit-learn, pandas, numpy, matplotlib/seaborn ML Fundamentals: Understanding of supervised/unsupervised learning, model evaluation, and feature engineering Problem-Solving Mindset: Ability to break down complex problems and iterate quickly Communication Skills: Can explain technical concepts to both technical and non-technical stakeholders Highly Preferred (MERN Stack Knowledge) React: Component-based development, hooks, state management Node.js/Express: RESTful API development and server-side logic MongoDB: Database design and querying for ML applications Full-Stack Understanding: How ML models integrate with web applications Bonus Points Experience with TensorFlow, PyTorch, or Hugging Face Transformers Knowledge of cloud platforms (AWS SageMaker, GCP AI Platform, Azure ML) Familiarity with Docker, Git, and CI/CD workflows Previous internship or project experience in production ML systems Technical Skills Production ML deployment and monitoring Full-stack integration of AI features Modern MLOps practices and tools Agile development in a fast-paced environment Ready to Apply? Fill this form or attach Resume https://forms.office.com/r/bQ2YEL1wXz Show more Show less
Posted 2 weeks ago
7.0 - 9.0 years
0 Lacs
Bengaluru, Karnataka, India
On-site
We are seeking an experienced Data Scientist III to join our team. In this role, you will manage the entire data science lifecycle, including data acquisition, preparation, model development, deployment, and monitoring. You will apply advanced techniques in Python programming, machine learning (ML), deep learning (DL), and generative AI to address complex challenges and develop high-impact solutions. Your role will involve leading projects, collaborating with cross-functional teams, and driving data-driven decision-making across the organization. What your impact will look like here: Advanced Model Development: Design, develop, and implement sophisticated machine learning and deep learning models for applications such as customer churn prediction, recommendation systems, and advanced anomaly detection. Programming and Libraries: Utilize Python and its advanced libraries (e.g., TensorFlow, PyTorch, Scikit-learn) to build and optimize models. Generative AI Exploration: Leverage cutting-edge generative AI techniques to create innovative solutions for complex problems and enhance engagement strategies. Leadership and Collaboration: Lead cross-functional teams, including product managers, engineers, and data analysts, to translate business needs into effective data-driven solutions. Integration and Deployment: Oversee the integration of models into production systems, ensuring seamless deployment and performance. Pipeline Management: Develop and maintain robust data pipelines for ingestion, transformation, and model training. Performance Monitoring: Continuously monitor model performance, conduct evaluations, and implement improvements as necessary. Communication and Strategy: Communicate complex technical concepts clearly to stakeholders and contribute to strategic data science initiatives. Best Practices and Innovation: Drive the development of best practices, tools, and frameworks for data science and machine learning, staying abreast of industry advancements. You will love this job if you have: Bachelorβs or Masterβs degree in Computer Science, Statistics, Mathematics, or a related quantitative field. 7-9 years of experience in data science, machine learning, or a relevant domain. Proficiency in Python programming and extensive experience with relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Proven track record of delivering production-ready AI/ML solutions. Strong expertise in machine learning and deep learning algorithms and techniques. Experience with generative AI models and advanced data science techniques. Proficiency in data manipulation, analysis, and visualization using Python libraries (e.g., Pandas, NumPy, Matplotlib). Experience with cloud platforms and big data technologies (e.g., AWS). Excellent problem-solving, analytical, and leadership skills. Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences. Qualifications - Preferred Experience with advanced techniques such as graph neural networks, reinforcement learning, or similar. Familiarity with agile development methodologies and DevOps practices. Experience with containerization technologies (e.g., Docker, Kubernetes). Contributions to open-source projects or published research in machine learning, deep learning, or generative AI. Experience working with government or public sector data. Proficiency with data visualization tools (e.g., Tableau, Power BI). The Team We area globally distributed workforce across the United States, Canada, United Kingdom, India, Armenia, Australia, and New Zealand. The Culture At Granicus, we are building a transparent, inclusive, and safe space for everyone who wants to be a part of our journey. A few culture highlights include β - Employee Resource Groups to encourage diverse voices - Coffee with Mark sessions β Our employees get to interact with our CEO on very important and sometimes difficult issues ranging from mental health to work life balance and current affairs. - Embracing diversity & fostering a culture of ideation, collaboration & meritocracy - We bring in special guests from time to time to discuss issues that impact our employee population The Company Serving the People Who Serve the People Granicus is driven by the excitement of building, implementing, and maintaining technology that is transforming the Govtech industry by bringing governments and its constituents together. We are on a mission to support our customers with meeting the needs of their communities and implementing our technology in ways that are equitable and inclusive. Granicus has consistently appeared on the GovTech 100 list over the past 5 years and has been recognized as the best companies to work on BuiltIn. Over the last 25 years, we have served 5,500 federal, state, and local government agencies and more than 300 million citizen subscribers power an unmatched Subscriber Network that use our digital solutions to make the world a better place. With comprehensive cloud-based solutions for communications, government website design, meeting and agenda management software, records management, and digital services, Granicus empowers stronger relationships between government and residents across the U.S., U.K., Australia, New Zealand, and Canada. By simplifying interactions with residents, while disseminating critical information, Granicus brings governments closer to the people they serveβdriving meaningful change for communities around the globe. Want to know more? See more of what we do here . The Impact We are proud to serve dynamic organizations around the globe that use our digital solutions to make the world a better place β quite literally. We have so many powerful success stories that illustrate how our solutions are impacting the world. See more of our impact here . The Process - Assessment β Take a quick assessment. - Phone screen β Speak to one of our talented recruiters to ensure this could be a fit. - Hiring Manager/Panel interview β Talk to the hiring manager so they can learn more about you and you about Granicus. Meet more members on the team! Learn more and share more. - Reference checks β Provide 2 references so we can hear about your awesomeness. - Verbal offer β Letβs talk numbers, benefits, culture and answer any questions. - Written offer β Sign a formal letter and get excited because we sure are! Benefits at Granicus India Along with the challenges of the job, Granicus offers employees an attractive benefits package which includes β - Hospitalization Insurance Policy covering employees and their family members including parents - All employees are covered under Personal Accident Insurance & Term Life Insurance policy - All employees can avail annual health check facility - Eligible for reimbursement of telephone and internet expenses - Wellness Allowance to avail health club memberships and/or access to physical fitness centres - Wellbeing Wednesdays which includes 1x global Unplug Day and 2x No Meeting Days every quarter - Memberships for βmeditation and mindfulness β apps including on-demand mental health support 24/7 - Access to learning management system Say., LinkedIn Learning Premium account membership & many more - Access to Rewards & recognition portal and quarterly recognition program Security and Privacy Requirements - Responsible for Granicus information security by appropriately preserving the Confidentiality, Integrity, and Availability (CIA) of Granicus information assets in accordance with the company's information security program. - Responsible for ensuring the data privacy of our employees and customers, their data, as well as taking all required privacy training in a timely manner, in accordance with company policies. Granicus is committed to providing equal employment opportunities. All qualified applicants and employees will be considered for employment and advancement without regard to race, color, religion, creed, national origin, ancestry, sex, gender, gender identity, gender expression, physical or mental disability, age, genetic information, sexual or affectional orientation, marital status, status regarding public assistance, familial status, military or veteran status or any other status protected by applicable law. Show more Show less
Posted 2 weeks ago
0 years
0 Lacs
India
Remote
π Data Analyst Intern π Location: Remote (100% Virtual) π Duration: 3 Months πΈ Stipend for Top Interns: βΉ15,000 π Perks: Certificate | Letter of Recommendation | Full-Time Offer (Performance-Based) About INLIGHN TECH At INLIGHN TECH, we are passionate about bridging the gap between academic knowledge and industry application. Our virtual internship programs are designed to offer hands-on, project-based learning experiences that equip students and fresh graduates with practical skills for their careers. Internship Overview As a Data Analyst Intern , youβll work on real datasets , transforming raw information into meaningful insights. This internship will strengthen your data handling, visualization, and analytical skills as you contribute to impactful projects and build dashboards to aid decision-making. π§ Key Responsibilities Collect, clean, and analyze structured and unstructured datasets Perform exploratory data analysis (EDA) to identify trends and patterns Create interactive dashboards and reports using tools like Power BI, Excel, or Tableau Use SQL to query databases and extract relevant information Apply statistical methods and data visualization techniques to support findings Document analysis processes and present insights to the team Collaborate with cross-functional teams to understand data requirements β Qualifications Pursuing or recently completed a degree in Data Science, Computer Science, Statistics, or a related field Proficiency in Excel, SQL, and Python (especially libraries like Pandas, NumPy, and Matplotlib/Seaborn) Familiarity with Power BI, Tableau , or similar visualization tools Strong analytical thinking and attention to detail Understanding of data cleaning, preprocessing , and basic statistics Eagerness to learn and apply data-driven decision-making π What Youβll Gain Real-world experience with end-to-end data analysis projects Hands-on exposure to industry-standard tools and best practices Internship Certificate of Completion Letter of Recommendation for outstanding interns Opportunity for a Full-Time Offer based on performance A portfolio of data projects and dashboards to showcase your skills Show more Show less
Posted 2 weeks ago
3.0 years
0 Lacs
Bengaluru, Karnataka, India
On-site
Introduction: A Career at HARMAN Automotive Weβre a global, multi-disciplinary team thatβs putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career. Engineer audio systems and integrated technology platforms that augment the driving experience Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence Advance in-vehicle infotainment, safety, efficiency, and enjoyment About The Role- We're seeking an experienced Python Developer with expertise in Power BI to join our team. The ideal candidate will have a strong foundation in Python programming, experience with Power BI, and a passion for data analysis and visualization. What You Will Do Data Analysis and Visualization: Collect, analyze, and visualize data using Python and Power BI to inform business decisions. Python Development: Develop and maintain Python scripts and applications to automate data processing, analysis, and visualization tasks. Power BI Development: Design, develop, and deploy Power BI reports and dashboards to visualize data and provide business insights. Data Modeling and Transformation: Design and implement data models and transformations using Python and Power BI to prepare data for analysis and visualization. Collaboration and Communication: Collaborate with cross-functional teams to identify business requirements and communicate insights and recommendations to stakeholders. What You Need To Be Successful Experience: 3-6 years of experience in Python development and Power BI. Technical Skills: Proficient in Python programming language. Experience with Power BI, including report development, data modeling, and visualization. Familiarity with data analysis and visualization libraries, such as Pandas, NumPy, and Matplotlib. Knowledge of data modeling and transformation techniques. Experience with version control systems, such as Git. Soft Skills: Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Bonus Points if You Have Experience with other programming languages: Familiarity with other programming languages, such as C++, Python, or Java. What Makes You Eligible Knowledge of control systems: Understanding of control systems, signal processing, or image processing. Experience with version control systems: Familiarity with version control systems, such as Git. What We Offer Competitive salary and benefits package Opportunities for professional growth and development Collaborative and dynamic work environment Access to cutting-edge technologies and tools Recognition and rewards for outstanding performance through BeBrilliant Chance to work with a renowned German OEM You are expected to work all 5 days in a week You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you β all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technolog y Ever since the 1920s, weβve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature todayβs most sought-after performers, while our digital transformation solutions serve humanity by addressing the worldβs ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If youβre ready to innovate and do work that makes a lasting impact, join our talent community today! Show more Show less
Posted 2 weeks ago
5.0 - 7.0 years
15 - 20 Lacs
Cochin
On-site
Job Description: Data Scientist Position Overview We are looking for a skilled and driven Data Scientist with 5-7 years of experience in data analysis and predictive modeling. The ideal candidate will have a strong technical foundation, analytical problem-solving skills, and the ability to translate complex data insights into actionable business strategies. Key Responsibilities Analyze large and complex datasets to uncover meaningful patterns, trends, and insights. Build, deploy, and validate predictive models, leveraging machine learning techniques and deep learning frameworks. Develop and implement Generative AI models to solve business challenges. Perform data preprocessing, exploratory data analysis (EDA), and feature engineering (FE) to prepare data for modeling and optimization. Write efficient and scalable code in Python, R, and SQL to manage and manipulate data. Collaborate with cross-functional teams to generate actionable insights that support business decision-making. Create clear and impactful data visualizations to communicate findings to both technical and non-technical stakeholders . Continuously monitor and improve model performance using optimization techniques. Stay up-to-date with advancements in data science, machine learning, and AI technologies. Required Skills and Qualifications Experience: 5-7 years of hands-on experience in data analysis, predictive modeling, and advanced analytics. Technical Proficiency: Strong programming skills in Python, R, and SQL. In-depth knowledge of machine learning techniques, deep learning frameworks, and Generative AI. Proficiency in data handling, pre-processing, exploratory data analysis (EDA), feature engineering (FE), and optimization techniques. Analytical Skills: Strong problem-solving abilities and attention to detail. Capability to derive actionable insights and present findings in a business- friendly manner. Communication: Excellent verbal and written communication skills to convey complex technical concepts effectively. Tools & Technologies: Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib, or Seaborn) is a plus. Educational Background Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. What We Offer A collaborative and innovative work environment. Opportunities to work on cutting-edge technologies, including Generative AI and advanced machine learning techniques. Career growth and development opportunities through training and mentorship. If you are passionate about leveraging data to drive impactful business decisions and have a strong technical background, we would love to hear from you! Job Types: Full-time, Permanent Pay: βΉ1,500,000.00 - βΉ2,000,000.00 per year Schedule: Day shift Monday to Friday Work Location: In person
Posted 2 weeks ago
0 years
0 Lacs
Bengaluru, Karnataka, India
On-site
The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. About the Role: We are looking for a highly motivated Data Science Intern to join our team. This role offers an exciting opportunity to work on real-world data challenges, contribute to analytical projects, and gain hands-on experience with modern data science tools and techniques. Key Responsibilities: Collect, clean, and analyze large datasets from various sources Build and test predictive models using machine learning techniques Assist in developing data visualizations and dashboards Work with the engineering and product teams to translate data insights into business actions Document methodologies and present findings clearly Requirements: Currently pursuing or recently completed a degree in Computer Science, Statistics, Mathematics, or related field Strong understanding of data science concepts and statistical techniques Hands-on experience with Python, R, SQL, or similar tools Familiarity with libraries like pandas, scikit-learn, matplotlib, and seaborn Basic understanding of machine learning algorithms Good communication and problem-solving skills When you join Metropolis, youβll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. Join us in making a difference as we build our future. Metropolis is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment. Metropolis prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Show more Show less
Posted 2 weeks ago
5.0 years
0 Lacs
Chennai, Tamil Nadu, India
On-site
Required Skills & Qualifications: Bachelorβs or Masterβs degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 2β5 years of hands-on experience in data science, analytics, or a related field. Proficient in Python or R for data analysis and machine learning. Experience with SQL and working with large datasets from relational databases. Solid understanding of statistical analysis and machine learning algorithms (regression, classification, clustering, etc.). Experience with cloud platforms (AWS, Azure, or GCP) is a plus. Familiarity with data visualization tools (Power BI, Tableau, matplotlib, seaborn). Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Preferred Qualifications: Experience with deep learning frameworks (TensorFlow, PyTorch) is a plus. Exposure to Big Data technologies (Spark, Hadoop) is an advantage. Knowledge of MLOps and model deployment techniques. Send your updated resume to mohammed@iattechnologies.com with the subject line: βApplication β Data Scientistβ Show more Show less
Posted 2 weeks ago
2.0 years
0 Lacs
Noida, Uttar Pradesh, India
On-site
About ChemAnalyst : C hemAnalyst is a cloud-based B2B SaaS platform offering real-time pricing and market intelligence for procurement and supply chain professionals. It provides advanced forecasting tools, helping businesses optimize procurement strategies, reduce risks, and improve profitability. Covering over 500+ commodities across six key categories, ChemAnalyst delivers essential insights for informed decision-making. Led by CEO Mr. Karan Chechi, the platform enhances procurement processes, drives cost savings, and streamlines workflows, making it a go-to solution for staying competitive. It has earned accolades like βProduct Innovator of the Yearβ, βTop 100 ProcureTech Solution Provider" and "Procurement Solution Provider of the Year." Website: https://www.chemanalyst.com/ Overview: An AI/ML expert with experience in creating AI models for data intelligence companies who specializes in developing and deploying artificial intelligence and machine learning solutions tailored for data-driven businesses. This expert should possess a strong background in data analysis, statistics, programming, and machine learning algorithms, enabling them to design innovative AI models that can extract valuable insights and patterns from vast amounts of data. Key Responsibilities: 1. AI Model Development: Design and develop state-of-the-art AI and ML models, including supervised and unsupervised learning algorithms, natural language processing (NLP) models, computer vision models, recommendation systems, and more. 2. Data Preprocessing: Clean, preprocess, and transform raw data to ensure its suitability for AI model training and analysis. This may involve handling missing values, feature engineering, and data normalization. 3. Model Training and Validation: Use various machine learning frameworks and libraries to train AI models on large datasets. Validate and fine-tune models to achieve optimal performance and accuracy. 4. Deployment and Integration: Integrate AI models into data intelligence platforms and ensure seamless deployment in production environments, making them accessible to end-users. 5. Performance Monitoring and Optimization: Continuously monitor the performance of deployed models and optimize them as needed to adapt to changing data patterns and business requirements. 6. Data Visualization: Create meaningful and intuitive visualizations to communicate complex data insights to stakeholders effectively. 7. Collaborate with Cross-Functional Teams: Work closely with data engineers, data scientists, product managers, and other stakeholders to understand business needs and align AI solutions with the company's objectives. 8. Stay Updated on AI/ML Trends: Keep abreast of the latest advancements in AI/ML technologies, industry trends, and best practices to ensure the organization remains at the forefront of innovation. Skills and Qualifications: - Strong educational background in computer science, data science, artificial intelligence, or a related field (Master's or Ph.D. preferred). - Extensive experience in developing AI and ML models, ideally in a data intelligence or analytics-focused company. - Proficiency in programming languages such as Python, R, or Java, along with familiarity with popular AI/ML libraries like TensorFlow, Keras, PyTorch, and scikit-learn. - Expertise in handling and analyzing large datasets, using tools like SQL, Spark, or Hadoop. - Deep understanding of various machine learning algorithms and statistical methods. - Experience with data visualization tools like Tableau, Power BI, or Matplotlib. - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI services. - Excellent problem-solving and analytical skills, with the ability to translate business requirements into AI solutions. - Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders. Required Experience: 2-4 Years Work Location: Noida (On-site) If interested kindly share your cv to babita.pathak@techsciresearch.com Show more Show less
Posted 2 weeks ago
2.0 - 4.0 years
5 - 10 Lacs
Bengaluru
Work from Office
Responsibilities: 1. Data Mining & Predictive Analytics Analyze large-scale healthcare datasets, including EHRs, claims data, and operational databases. Apply machine learning algorithms and statistical methods to identify trends, anomalies, and patterns related to patient outcomes and healthcare delivery. Develop predictive models to forecast health risks and treatment responses for proactive care planning. Use tools such as Python (Pandas, NumPy, Scikit-learn, TensorFlow) , SQL , Hadoop , Spark , and NoSQL databases . 2. Data Slicing, Dicing & OLAP Analysis Perform data segmentation based on demographics, conditions, or treatment histories to support targeted analysis. Conduct OLAP operations like drill-down, slicing and dicing to explore multi-dimensional views of healthcare data. Utilize tools such as SQL , Excel , Power BI , Tableau , and Python libraries ( Matplotlib , Seaborn ). 3. Data Visualization & Reporting Create intuitive dashboards and reports that communicate KPIs, patient outcomes, and performance metrics to various stakeholders. Design and develop visual representations (bar charts, heatmaps, flow diagrams) to make complex data accessible and actionable. Ensure clarity, accuracy, and transparency in all visual communications using tools like Power BI , Tableau , D3.js , Matplotlib , and Seaborn . Example Datasets Youll Work With: Clinical Data : EHRs, medication records, patient history. Operational Data : Facility management, staff allocation. Financial Data : Insurance claims, billing, cost metrics. Outcome Data : Patient satisfaction, readmission rates, treatment efficacy. Qualifications: Bachelors or Masters in Computer Science, Data Science, Health Informatics, Biostatistics, or a related field. 3β6 years of experience in healthcare data analytics or a related domain. Proficiency in SQL, Python, and data visualization platforms (Power BI, Tableau). Experience working with large healthcare datasets and machine learning models. Strong understanding of healthcare operations and data privacy standards (e.g., HIPAA).
Posted 2 weeks ago
0 years
0 Lacs
India
Remote
π§ Data Science Intern (Remote) π π Are you curious about machine learning, predictive models, and using data to solve real-world problems? Ready to gain hands-on experience in Data Science from anywhere in the world? This is your chance! π Location: Virtual / Remote πΌ Type: Internship (Unpaid) π Duration & Working Hours: Flexible β Work on your own schedule! π About the Role: Weβre looking for a passionate and driven Data Science Intern to join our remote team! This internship is an exciting opportunity for students, recent graduates, or self-learners who want to apply their data science skills in real projects and make a measurable impact. You'll work on datasets, build models, and generate actionable insights using tools and techniques from the world of data science β all within a flexible, remote environment. π What Youβll Gain: β 100% Remote β Work from anywhere π β Flexible Hours β You decide when to work β° β Hands-On Projects β Apply your data science skills to real challenges π β Portfolio Development β Boost your resume with real experience π β Mentorship β Learn from a supportive and collaborative team π₯ π Who Weβre Looking For: π Students or recent graduates in Computer Science, Data Science, Engineering, or related fields π Eager to explore machine learning, data modeling, and analysis π οΈ Experience with Python, pandas, NumPy, scikit-learn, or similar tools π Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, or Tableau) π§ Problem-solving mindset with attention to detail π¬ Independent, proactive, and good at remote collaboration π Apply By: June 5th If you're ready to dive into data and gain practical experience in data science, weβd love to hear from you! Letβs turn data into discoveries together π‘π Show more Show less
Posted 2 weeks ago
4.0 - 8.0 years
9 - 13 Lacs
Bengaluru
Work from Office
Role Summary WSP is seeking an enthusiastic, creative, and delivery-oriented candidate who has practical experience with Environment Data Management service. As an Environment Data Management Consultant you will assist with project teams to set-up pre-sampling database structure to Contaminated lands, Environmental Planning, and Environmental Impact Assessment, and other environmental investigations projects. Assess and optimize our environmental data management system and support environmental projects through effective data management, analysis, and visualization. The successful candidate will collaborate with environmental scientists, engineers, and GIS specialists to ensure our data processes are accurate, efficient, and future-ready . If you have a strong technical background in data management, an eye for system optimization, and a vision for the future of environmental data delivery , weβd love to hear from you. Responsibilities Data Control and Tabulation Work with project teams to set-up pre-sampling database structure (typically based on EQuIS) to incorporate field and laboratory data Configure EQuIS Enterprise Portals for project site Coordinate with analytical laboratories on the delivery of analytical data EDDs through Laboratory Information Management Systems Perform quality assurance/quality control checks on analytical data to confirm compliance with prescribed thresholds and limits Provide tabular output of laboratory and field data in accordance with project requirements System Assessment and Modernization Assess current data management workflows and systems to identify strengths, areas for enhancement, and opportunities to improve data quality and efficiency. Identify automation opportunities to reduce manual effort and improve data accuracy. Research and recommend emerging technologies (e.g., cloud solutions, machine learning applications, or improved visualization tools) for environmental data management. Teamwork and Collaboration Collaborate with environmental scientists, engineers, hydrogeologists, and GIS specialists to proactively support project data needs. Provide technical support and training to project teams on best practices for data management and visualization. Assist in developing project budgets and estimates for data-related components. Possess good communication skills and the ability to collaboratively develop solutions to meet the needs of our multidisciplinary group Team player that enjoys working collaboratively with multiple disciplines and promoting data tools and capabilities within our technical group Coordinate with GIS Technicians on the development of laboratory and field data (e.g. exceedance plots, plan view and/or cross-sectional figures of distribution using ArcGIS or similar platforms) Reporting and Documentation Support preparation of data summaries, and project reports for environmental assessments and regulatory submissions. Maintain data governance standards, ensuring accuracy, consistency, and compliance with project and industry guidelines. Organize and manage project data files, metadata, and version control processes. Promote the efficient use of data tools to ther technical specialists through presentations and webinars Key Competencies / Skills: Mandatory Skills Bachelorβs or Masterβs degree in Data Science, Computer Science, Environmental Science, Geographic Information Systems (GIS), or a related field. Experience: 5β8 years of experience in environmental data management and/or data science, with at least 3 years focused on system assessment and process improvement. Technical Expertise: Proficiency with EarthSoftβs EQuIS (desktop and online). Familiarity with EarthSoftβs Suite of Modules (Sample Planning Module, Collect, and Live) Strong SQL skills and experience working with relational databases (PostgreSQL, SQL Server, MySQL, etc.). Proficiency in Microsoft O365 (Excel, Access, SharePoint, OneDrive, Word). Familiarity with data visualization and analytics tools such as Power BI, Tableau, Python (pandas, matplotlib), or R (ggplot, tidyverse). Background in automating data workflows using Python, R, or SQL scripting. Key Competencies Data Quality & Governance: Strong understanding of data validation, quality control, and regulatory compliance in environmental projects. Problem-Solving & Analytical Skills: Ability to interpret complex environmental datasets and develop meaningful insights to address project needs and within the project scope. Possess good communication skills and the ability to collaboratively develop solutions to meet the needs of our multidisciplinary group Communication & Collaboration: Strong written and verbal communication skills to explain data methodologies and findings to technical and non-technical stakeholders. Team player that enjoys working collaboratively with multiple disciplines and promoting the efficient use of data tools within our technical group to meet project needs. Independence & Adaptability: Ability to work effectively both independently and as part of a multidisciplinary team in a fast-paced environment.
Posted 2 weeks ago
8.0 years
0 Lacs
Delhi, India
On-site
Job Description Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with over 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications Bachelorβs degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Computer vision(yolo),Deep Learning stack, NLP using python Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock OR Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain OR LlamaIndex OR RAG) Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. Expertise in building enterprise grade, secure data ingestion pipelines (ETL Gluejob, Quicksight) for unstructured data β including indexing, search, and advance retrieval patterns. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Good To Have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day. Show more Show less
Posted 2 weeks ago
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Matplotlib is a popular data visualization library in Python that is widely used in various industries. Job opportunities for matplotlib professionals in India are on the rise due to the increasing demand for data visualization skills. In this article, we will explore the job market for matplotlib in India and provide insights for job seekers looking to build a career in this field.
Here are 5 major cities in India actively hiring for matplotlib roles: 1. Bangalore 2. Delhi 3. Mumbai 4. Hyderabad 5. Pune
The average salary range for matplotlib professionals in India varies based on experience levels. Entry-level positions can expect to earn around INR 3-5 lakhs per annum, while experienced professionals can earn upwards of INR 10 lakhs per annum.
Career progression in the field of matplotlib typically follows a path from Junior Developer to Senior Developer to Tech Lead. As professionals gain more experience and expertise in data visualization using matplotlib, they can take on more challenging roles and responsibilities.
In addition to proficiency in matplotlib, professionals in this field are often expected to have knowledge and experience in the following areas: - Python programming - Data analysis - Data manipulation - Statistics - Machine learning
Here are 25 interview questions for matplotlib roles:
- What is matplotlib and how is it used in data visualization? (basic)
- What are the different types of plots that can be created using matplotlib? (basic)
- How would you customize the appearance of a plot in matplotlib? (medium)
- Explain the difference between plt.show()
and plt.savefig()
in matplotlib. (medium)
- How do you handle missing data in a dataset before visualizing it using matplotlib? (medium)
- What is the purpose of the matplotlib.pyplot.subplots()
function? (advanced)
- How would you create a subplot with multiple plots in matplotlib? (medium)
- Explain the use of matplotlib.pyplot.bar()
and matplotlib.pyplot.hist()
functions. (medium)
- How can you annotate a plot in matplotlib? (basic)
- Describe the process of creating a 3D plot in matplotlib. (advanced)
- How do you set the figure size in matplotlib? (basic)
- What is the purpose of the matplotlib.pyplot.scatter()
function? (medium)
- How would you create a line plot with multiple lines using matplotlib? (medium)
- Explain the difference between plt.plot()
and plt.scatter()
in matplotlib. (medium)
- How do you add a legend to a plot in matplotlib? (basic)
- Describe the use of color maps in matplotlib. (medium)
- How can you save a plot as an image file in matplotlib? (basic)
- What is the purpose of the matplotlib.pyplot.subplots_adjust()
function? (medium)
- How do you create a box plot in matplotlib? (medium)
- Explain the use of matplotlib.pyplot.pie()
function for creating pie charts. (medium)
- How would you create a heatmap in matplotlib? (advanced)
- What are the different types of coordinate systems in matplotlib? (advanced)
- How do you handle axis limits and ticks in matplotlib plots? (medium)
- Explain the role of matplotlib.pyplot.imshow()
function. (medium)
- How would you create a bar plot with error bars in matplotlib? (advanced)
As the demand for data visualization skills continues to grow, mastering matplotlib can open up exciting job opportunities in India. By preparing thoroughly and showcasing your expertise in matplotlib, you can confidently apply for roles and advance your career in this dynamic field. Good luck with your job search!
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