1416 Matplotlib Jobs - Page 8

SynapseIndia is a software development company with over 24 years of experience, featuring development offices in India and the USA. We serve clients worldwide, delivering innovative solutions tailored to their needs. Our Noida SEZ office is conveniently located just a 10-minute walk from the nearest metro station. Why work with us? Partnerships with Industry Leaders: We are a Google and Microsoft partner, staffed by certified professionals. Global Presence: As a multinational corporation, we have clients and employees across the globe. Structured Environment: We follow CMMI Level-5 compliant processes to ensure quality and efficiency. Timely Salaries: We have consistently paid salaries on time since our inception. Job Stability: Despite market fluctuations, we have not had to lay off employees. Work-Life Balance: Enjoy weekends off on the 2nd and last Saturday of every month, with no night shifts. Our employees are 100% satisfied, thanks to a culture of trust and growth opportunities. Eco-Friendly Workplace: We promote health and well-being with special anti-radiation and energy removal features in our offices. We prioritize the job security of all our employees. We celebrate all festivals with enthusiasm and joy. Yearly Appraisals: Exceptional performers can receive over 100% increments during appraisals. We recognize and reward top performers on a monthly basis for their outstanding contributions. We provide Accidental and Medical Insurance to our employees. Who are we looking for? Designation : Jr. Software Engineer (AI ML) Experience Range : 0 to 2 years What is the work? Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field. 0-2 years of professional experience in Python programming with a focus on AI/ML. Strong experience with Python ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, etc. Solid understanding of machine learning algorithms, neural networks, and deep learning. Experience with data manipulation libraries (Pandas, NumPy) and data visualization tools (Matplotlib, Seaborn). Experience with cloud platforms (AWS, GCP, Azure) and deploying ML models using Docker, Kubernetes. Familiarity with NLP, Computer Vision, or other AI domains is a plus. Strong problem-solving skills and ability to work independently and collaboratively. Excellent communication skills. Experience with distributed computing and big data tools like Spark or Hadoop. Knowledge of MLOps best practices and tools. Familiarity with REST APIs and microservices architecture. Experience with version control systems like Git. Understanding of software development lifecycle (SDLC) and Agile methodologies. What skills and experience are we looking for? Design, develop, and deploy machine learning models and AI algorithms using Python and relevant libraries. Collaborate with cross-functional teams to gather requirements and translate business problems into AI/ML solutions. Optimize and scale machine learning pipelines and systems for production. Perform data preprocessing, feature engineering, and exploratory data analysis. Implement and fine-tune deep learning models using frameworks like TensorFlow, PyTorch, or similar. Conduct experiments and evaluate model performance using statistical methods. Write clean, maintainable, and well-documented code. Mentor junior developers and participate in code reviews. Stay up-to-date with the latest AI/ML research and technologies. Ensure model deployment is seamless and models are integrated with existing infrastructure. Apply (Gmail) Apply (Form)

🤖 Data Science Intern – Remote | Real Projects, Real Skills, Real Impact 📍 Location: Remote / Virtual 💼 Type: Internship (Unpaid) 🎁 Perks: Certificate after Completion || Letter of Recommendation (6 Months) 🕒 Schedule: Flexible (5–7 hours/week) Are you passionate about data, AI, and problem-solving? Join Skillfied Mentor and step into the world of data science with real projects, hands-on mentoring, and practical tools. This virtual internship is designed for students and fresh graduates who want to build real experience working on machine learning models , data pipelines , and predictive analytics . 🔧 What You’ll Do: Clean and prepare data for analysis and modeling Perform EDA to uncover hidden insights in large datasets Build and train basic machine learning models using Python Work on tools like Pandas, NumPy, Scikit-Learn, Jupyter Present findings in visual formats using Matplotlib/Seaborn Collaborate with peers and mentors during project reviews 🎓 What You’ll Gain: ✅ Full Python Course included during internship ✅ Hands-on experience with real-world ML and DS projects ✅ Internship Certificate + LOR (6 Months) ✅ Projects that enhance your resume and portfolio ✅ Work with tools & libraries used in the industry ✅ Fully remote – manage your schedule (5–7 hrs/week) 🗓️ Application Deadline: 30th July 2025 👉 Apply now and launch your Data Science journey with Skillfied Mentor!

HCL Software (hcl-software.com) delivers software that fulfils the transformative needs of clients around the world. We build award winning software across AI, Automation, Data & Analytics, Security and Cloud. The HCL Unica+ Marketing Platform enables our customers to deliver precision and high performance Marketing campaigns across multiple channels like Social Media, AdTech Platforms, Mobile Applications, Websites, etc. The Unica+ Marketing Platform is a Data and AI first platform that enables our clients to deliver hyper-personalized offers and messages for customer acquisition, product awareness and retention. We are seeking a Senior Architect Developer with strong Data Science and Machine Learning skills and experience to deliver AI driven Marketing Campaigns. Responsibilities Designing and Architecting End-to-End AI/ML Solutions for Marketing: The architect is responsible for designing robust, scalable, and secure AI/ML solutions specifically tailored for marketing challenges. This includes defining data pipelines, selecting appropriate machine learning algorithms and frameworks (e.g., for predictive analytics, customer segmentation, personalization, campaign optimization, sentiment analysis), designing model deployment strategies, and integrating these solutions seamlessly with existing marketing tech stacks and enterprise systems. They must consider the entire lifecycle from data ingestion to model monitoring and retraining. Technical Leadership: The AI/ML architect acts as a technical leader, providing guidance and mentorship to data scientists, ML engineers, and other development teams. They evaluate and select the most suitable AI/ML tools, platforms, and cloud services (AWS, GCP, Azure) for marketing use cases. The architect is aso responsible for establishing and promoting best practices for MLOps (Machine Learning Operations), model versioning, continuous integration/continuous deployment (CI/CD) for ML models, and ensuring data quality, ethical AI principles (e.g., bias, fairness), and regulatory compliance (e.g., data privacy laws). Python Programming & Libraries: Proficient in Python with extensive experience using Pandas for data manipulation, NumPy for numerical operations, and Matplotlib/Seaborn for data visualization. Statistical Analysis & Modelling: Strong understanding of statistical concepts, including descriptive statistics, inferential statistics, hypothesis testing, regression analysis, and time series analysis. Data Cleaning & Preprocessing: Expertise in handling messy real-world data, including dealing with missing values, outliers, data normalization/standardization, feature engineering, and data transformation. SQL & Database Management: Ability to query and manage data efficiently from relational databases using SQL, and ideally some familiarity with NoSQL databases. Exploratory Data Analysis (EDA): Skill in visually and numerically exploring datasets to understand their characteristics, identify patterns, anomalies, and relationships. Machine Learning Algorithms: In-depth knowledge and practical experience with a wide range of ML algorithms such as linear models, tree-based models (Random Forests, Gradient Boosting), SVMs, K-means, and dimensionality reduction techniques (PCA). Deep Learning Frameworks: Proficiency with at least one major deep learning framework like TensorFlow or PyTorch. This includes understanding neural network architectures (CNNs, RNNs, Transformers) and their application to various problems. Model Evaluation & Optimization: Ability to select appropriate evaluation metrics (e.g., precision, recall, F1-score, AUC-ROC, RMSE) for different problem types, diagnose model performance issues (bias-variance trade-off), and apply optimization techniques. Deployment & MLOps Concepts: Deploy machine learning models into production environments, including concepts of API creation, containerization (Docker), version control for models, and monitoring. Qualifications & Skills At least 15+ years of Experience across Data Architecture, Data Science and Machine Learning. Experience in delivering AI/ML models for Marketing Outcomes like Customer Acquisition, Customer Churn, Next Best Product or Offer. This is a mandatory requirement. Experience with Customer Data Platforms (CDP) and Marketing Platforms like Unica, Adobe, SalesForce, Braze, TreasureData, Epsilon, Tealium is mandatory. Experience with AWS SageMaker is advantageous Experience with LangChain, RAG for Generative AI is advantageous. Experience with ETL process and tools like Apache Airflow is advantageous Expertise in Integration tools and frameworks like Postman, Swagger, API Gateways Ability to work well within an agile team environment and apply the related working methods. Excellent communication & interpersonal skills A 4-year degree in Computer Science or IT is a must. Travel: 30% +/- travel required

HCL Software (hcl-software.com) delivers software that fulfils the transformative needs of clients around the world. We build award winning software across AI, Automation, Data & Analytics, Security and Cloud. The HCL Unica+ Marketing Platform enables our customers to deliver precision and high performance Marketing campaigns across multiple channels like Social Media, AdTech Platforms, Mobile Applications, Websites, etc. The Unica+ Marketing Platform is a Data and AI first platform that enables our clients to deliver hyper-personalized offers and messages for customer acquisition, product awareness and retention. We are seeking a Senior Python Developer with strong Data Science and Machine Learning skills and experience to deliver AI driven Marketing Campaigns. Responsibilities Python Programming & Libraries: Proficient in Python with extensive experience using Pandas for data manipulation, NumPy for numerical operations, and Matplotlib/Seaborn for data visualization. Statistical Analysis & Modelling: Strong understanding of statistical concepts, including descriptive statistics, inferential statistics, hypothesis testing, regression analysis, and time series analysis. Data Cleaning & Preprocessing: Expertise in handling messy real-world data, including dealing with missing values, outliers, data normalization/standardization, feature engineering, and data transformation. SQL & Database Management: Ability to query and manage data efficiently from relational databases using SQL, and ideally some familiarity with NoSQL databases. Exploratory Data Analysis (EDA): Skill in visually and numerically exploring datasets to understand their characteristics, identify patterns, anomalies, and relationships. Machine Learning Algorithms: In-depth knowledge and practical experience with a wide range of ML algorithms such as linear models, tree-based models (Random Forests, Gradient Boosting), SVMs, K-means, and dimensionality reduction techniques (PCA). Deep Learning Frameworks: Proficiency with at least one major deep learning framework like TensorFlow or PyTorch. This includes understanding neural network architectures (CNNs, RNNs, Transformers) and their application to various problems. Model Evaluation & Optimization: Ability to select appropriate evaluation metrics (e.g., precision, recall, F1-score, AUC-ROC, RMSE) for different problem types, diagnose model performance issues (bias-variance trade-off), and apply optimization techniques. Deployment & MLOps Concepts: Understanding of how to deploy machine learning models into production environments, including concepts of API creation, containerization (Docker), version control for models, and monitoring. Qualifications & Skills At least 8-10 years. of Python Development Experience with at least 4 years in data science and machine learning Experience with Customer Data Platforms (CDP) like TreasureData, Epsilon, Tealium, Adobe, Salesforce is advantageous. Experience with AWS SageMaker is advantegous Experience with LangChain, RAG for Generative AI is advantageous. Expertise in Integration tools and frameworks like Postman, Swagger, API Gateways Knowledge of REST, JSON, XML, SOAP is a must Ability to work well within an agile team environment and applying the related working methods. Excellent communication & interpersonal skills A 4-year degree in Computer Science or IT is a must. Travel: 30% +/- travel required

We are looking for a passionate and experienced Data Analyst Trainer to deliver practical, hands-on training sessions to undergraduate students across arts and science colleges in Tamil Nadu . You’ll play a key role in empowering students with real-world data analytics skills—from Excel and SQL to data visualization and Python. Key Responsibilities: Deliver the 45-hour “Advanced Data Analytics” curriculum in an engaging, structured classroom format. Train students in key tools and platforms such as Excel, Power BI/Tableau, SQL, Python, and Google Sheets . Guide students through modules including: Excel for Data Analysis Database Basics & SQL Queries Data Cleaning & Transformation Data Visualization & Dashboards Intro to Python for Analytics Applied Analytics Projects Mentor students on practical, real-world projects such as: Building Excel dashboards for sales/HR data Writing SQL queries to analyze datasets Creating interactive visualizations with Power BI or Tableau Performing basic data analysis using Python (pandas, matplotlib) Foster analytical thinking, guide project execution, provide constructive feedback, and conduct assessments based on course rubrics. Coordinate with the program team to continuously improve learning outcomes and session delivery. Requirements: 2+ years of industry experience in Data Analysis, Business Intelligence, or similar fields. Prior teaching or mentoring experience is highly preferred. Proficiency in tools such as Excel, SQL, Power BI/Tableau, Python (pandas, matplotlib), and Google Sheets . Strong communication skills with the ability to simplify complex concepts for beginners. A passion for education and the ability to engage diverse learners with practical, job-oriented content. Why Join Us? Create Impact: Help arts and science students gain access to in-demand analytics skills. Hands-on Teaching: Go beyond theory with interactive, tool-based sessions and real-world datasets. On-ground Experience: Travel to colleges and connect directly with students and faculty. Collaborative Culture: Work with a committed team focused on quality skilling and learner success. Job Types: Full-time, Contractual / Temporary, Freelance Contract length: 2.5 months Pay: ₹700 - ₹1,000 per day Benefits: Cell phone reimbursement Schedule: Day shift Morning shift Work Location: Virudhachalam Expected Start Date: 31/07/2025

We are looking for a passionate and experienced Data Analyst Trainer to deliver practical, hands-on training sessions to undergraduate students across arts and science colleges in Tamil Nadu . You’ll play a key role in empowering students with real-world data analytics skills—from Excel and SQL to data visualization and Python. Key Responsibilities: Deliver the 45-hour “Advanced Data Analytics” curriculum in an engaging, structured classroom format. Train students in key tools and platforms such as Excel, Power BI/Tableau, SQL, Python, and Google Sheets . Guide students through modules including: Excel for Data Analysis Database Basics & SQL Queries Data Cleaning & Transformation Data Visualization & Dashboards Intro to Python for Analytics Applied Analytics Projects Mentor students on practical, real-world projects such as: Building Excel dashboards for sales/HR data Writing SQL queries to analyze datasets Creating interactive visualizations with Power BI or Tableau Performing basic data analysis using Python (pandas, matplotlib) Foster analytical thinking, guide project execution, provide constructive feedback, and conduct assessments based on course rubrics. Coordinate with the program team to continuously improve learning outcomes and session delivery. Requirements: 2+ years of industry experience in Data Analysis, Business Intelligence, or similar fields. Prior teaching or mentoring experience is highly preferred. Proficiency in tools such as Excel, SQL, Power BI/Tableau, Python (pandas, matplotlib), and Google Sheets . Strong communication skills with the ability to simplify complex concepts for beginners. A passion for education and the ability to engage diverse learners with practical, job-oriented content. Why Join Us? Create Impact: Help arts and science students gain access to in-demand analytics skills. Hands-on Teaching: Go beyond theory with interactive, tool-based sessions and real-world datasets. On-ground Experience: Travel to colleges and connect directly with students and faculty. Collaborative Culture: Work with a committed team focused on quality skilling and learner success. Job Types: Full-time, Contractual / Temporary, Freelance Contract length: 2.5 months Pay: ₹1,000.00 - ₹1,200.00 per day Benefits: Cell phone reimbursement Schedule: Day shift Morning shift Work Location: Villupuram Expected Start Date: 31/07/2025

We are looking for a passionate and experienced Data Analyst Trainer to deliver practical, hands-on training sessions to undergraduate students across arts and science colleges in Tamil Nadu . You’ll play a key role in empowering students with real-world data analytics skills—from Excel and SQL to data visualization and Python. Key Responsibilities: Deliver the 45-hour “Advanced Data Analytics” curriculum in an engaging, structured classroom format. Train students in key tools and platforms such as Excel, Power BI/Tableau, SQL, Python, and Google Sheets . Guide students through modules including: Excel for Data Analysis Database Basics & SQL Queries Data Cleaning & Transformation Data Visualization & Dashboards Intro to Python for Analytics Applied Analytics Projects Mentor students on practical, real-world projects such as: Building Excel dashboards for sales/HR data Writing SQL queries to analyze datasets Creating interactive visualizations with Power BI or Tableau Performing basic data analysis using Python (pandas, matplotlib) Foster analytical thinking, guide project execution, provide constructive feedback, and conduct assessments based on course rubrics. Coordinate with the program team to continuously improve learning outcomes and session delivery. Requirements: 2+ years of industry experience in Data Analysis, Business Intelligence, or similar fields. Prior teaching or mentoring experience is highly preferred. Proficiency in tools such as Excel, SQL, Power BI/Tableau, Python (pandas, matplotlib), and Google Sheets . Strong communication skills with the ability to simplify complex concepts for beginners. A passion for education and the ability to engage diverse learners with practical, job-oriented content. Why Join Us? Create Impact: Help arts and science students gain access to in-demand analytics skills. Hands-on Teaching: Go beyond theory with interactive, tool-based sessions and real-world datasets. On-ground Experience: Travel to colleges and connect directly with students and faculty. Collaborative Culture: Work with a committed team focused on quality skilling and learner success. Job Types: Full-time, Contractual / Temporary, Freelance Contract length: 2.5 months Pay: ₹1,000.00 - ₹1,200.00 per day Benefits: Cell phone reimbursement Schedule: Day shift Morning shift Work Location: Mayiladuthurai, Tamil Nadu, India Expected Start Date: 31/07/2025

The role of Data Scientist - Clinical Data Extraction & AI Integration in our healthcare technology team requires an experienced individual with 3-6 years of experience. As a Data Scientist in this role, you will be primarily focused on medical document processing and data extraction systems. You will have the opportunity to work with advanced AI technologies to create solutions that enhance the extraction of crucial information from clinical documents, thereby improving healthcare data workflows and patient care outcomes. Your key responsibilities will include designing and implementing statistical models for medical data quality assessment, developing predictive algorithms for encounter classification, and validation. You will also be responsible for building machine learning pipelines for document pattern recognition, creating data-driven insights from clinical document structures, and implementing feature engineering for medical terminology extraction. Furthermore, you will apply natural language processing (NLP) techniques to clinical text, develop statistical validation frameworks for extracted medical data, and build anomaly detection systems for medical document processing. Additionally, you will create predictive models for discharge date estimation, encounter duration, and implement clustering algorithms for provider and encounter classification. In terms of AI & LLM Integration, you will be expected to integrate and optimize Large Language Models via AWS Bedrock and API services, design and refine AI prompts for clinical content extraction with high accuracy, and implement fallback logic and error handling for AI-powered extraction systems. You will also develop pattern matching algorithms for medical terminology and create validation layers for AI-extracted medical information. Having expertise in the healthcare domain is crucial for this role. You will work closely with medical document structures, implement healthcare-specific validation rules, handle medical terminology extraction, and conduct clinical context analysis. Ensuring HIPAA compliance and adhering to data security best practices will also be part of your responsibilities. Proficiency in programming languages such as Python 3.8+, R, SQL, and JSON, along with familiarity with data science tools like pandas, numpy, scipy, scikit-learn, spaCy, and NLTK is required. Experience with ML Frameworks including TensorFlow, PyTorch, transformers, huggingface, and visualization tools like matplotlib, seaborn, plotly, Tableau, and PowerBI is desirable. Knowledge of AI Platforms such as AWS Bedrock, Anthropic Claude, OpenAI APIs, and experience with cloud services like AWS (SageMaker, S3, Lambda, Bedrock) will be advantageous. Familiarity with research tools like Jupyter notebooks, Git, Docker, and MLflow is also beneficial for this role.,

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

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

As a Data Scientist for AI Products at Linde, you will be an integral part of the Artificial Intelligence team within Linde's global corporate division. Your primary responsibility will involve working on real business challenges and opportunities across multiple countries. Your focus will be on supporting the AI team in extending existing AI products and developing new ones to cater to various use cases within Linde's business and value chain. Collaboration with diverse teams including Project Managers, Data Scientists, Data and Software Engineers will be a key aspect of your role. You will directly work with a variety of data sources, types, and structures to derive actionable insights. Developing, customizing, and managing AI software products based on Machine and Deep Learning backends will be among your core tasks. Your role will also entail supporting the replication of existing products and pipelines to other systems and geographies, defining data requirements for new developments, and interacting with business functions to identify opportunities with potential business impact. To excel in this role, you are required to have a Bachelor's or Master's degree in data science, Computational Statistics/Mathematics, Computer Science, Operations Research, or a related field. A strong understanding and practical experience in Multivariate Statistics, Machine Learning, and Probability concepts are essential. Additionally, hands-on experience with preprocessing, feature engineering, data cleansing, and Python programming skills are crucial. Proficiency in handling large datasets using SQL, knowledge of data architectures, and experience with data visualization tools like Tableau or PowerBI are desired. Your result-driven mindset, excellent communication skills, and ability to structure projects from ideation to implementation will be valuable assets in this role. Fluency in English is a must, and any experience with DevOps, MS Azure, Azure ML, Kedro, Airflow, MLflow, or similar tools will be advantageous. Working at Linde offers you the opportunity to be part of a leading global industrial gases and engineering company with a strong commitment to sustainable development and customer success. If you are looking for a challenging yet rewarding career where you can make a positive impact on the world, Linde provides limitless possibilities for your professional growth. Join us in our mission to make the world more productive and sustainable. Let's talk about how you can contribute to our team!,

As a Data Scientist at our company located in Nagercoil, you will play a vital role in transforming raw data into valuable insights that will drive strategic decisions and enhance product enhancements. You should possess exceptional problem-solving abilities, proficiency in data science tools, and a strong enthusiasm for data manipulation. Your responsibilities will include analyzing both structured and unstructured data sets to identify patterns and trends, constructing predictive models and machine learning algorithms, collaborating with business teams to uncover data-driven opportunities, and effectively communicating findings through various mediums such as reports, dashboards, and visualizations. Additionally, you will be responsible for data cleaning, validation, preprocessing, developing A/B testing frameworks, and collaborating with software engineers and analysts to implement data-centric solutions. To excel in this role, you must have a solid foundation in Python or R for data analysis and machine learning, along with hands-on experience using libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Proficiency in SQL for data querying, familiarity with data visualization tools such as Power BI, Tableau, or Matplotlib/Seaborn, and a good grasp of statistics, probability, and algorithms are also essential. Ideally, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Experience with big data tools like Hadoop or Spark would be advantageous, as well as knowledge of cloud platforms like AWS, Azure, or Google Cloud. This is a full-time, permanent position with a day shift schedule that requires in-person work at our Nagercoil location. Join us in leveraging the power of data to drive innovation and business success.,

Job Location : Noida Job Role : Sr. AI/ML/ Data Scientist Overview We are seeking a highly skilled and experienced AI/ML Expert to spearhead the design, development, and deployment of advanced artificial intelligence and machine learning models. This role requires a strategic thinker with a deep understanding of ML algorithms, model optimization, and production-level AI systems. You will guide cross-functional teams, mentor junior data scientists, and help shape the AI roadmap to drive innovation and business impact. This role involves statistical analysis, data modeling, and interpreting large sets of data. 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. About The Role The design and development of a cutting-edge application powered by large language models (LLMs). This tool will provide market analysis and generate high-quality, data-driven periodic insights. You will play a critical role in building a scalable and intelligent system that integrates structured data, NLP capabilities, and domain-specific knowledge to produce analyst-grade content. Key Responsibilities Design and develop LLM-based systems for automated market analysis. Build data pipelines to ingest, clean, and structure data from multiple sources (e.g., market feeds, news articles, technical reports, internal datasets). Fine-tune or prompt-engineer LLMs (e.g., GPT-4.5, Llama, Mistral) to generate concise, insightful reports. Collaborate closely with domain experts to integrate industry-specific context and validation into model outputs. Implement robust evaluation metrics and monitoring systems to ensure quality, relevance, and accuracy of generated insights. Develop and maintain APIs and/or user interfaces to enable analysts or clients to interact with the LLM system. Stay up to date with advancements in the GenAI ecosystem and recommend relevant improvements or integrations. Participate in code reviews, experimentation pipelines, and collaborative research Required : Strong fundamentals in machine learning, deep learning, and natural language processing (NLP). Proficiency in Python, with hands-on experience using libraries such as NumPy, Pandas, and Matplotlib/Seaborn for data analysis and visualization. Experience developing applications using LLMs (both closedand open-source models). Familiarity with frameworks like Hugging Face Transformers, LangChain, LlamaIndex, etc. Experience building ML models (e.g., Random Forest, XGBoost, LightGBM, SVMs), along with familiarity in training and validating models. Practical understanding of deep learning frameworks: TensorFlow or PyTorch. Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), and LLM evaluation strategies. Experience working with REST APIs, data ingestion pipelines, and automation workflows. Strong analytical thinking, problem-solving skills, and the ability to convert complex technical work into business-relevant insights. Preferred Familiarity with the chemical or energy industry, or prior experience in market research/analyst workflows. Exposure to frameworks such as OpenAI Agentic SDK, CrewAI, AutoGen, SmolAgent, etc. Experience deploying ML/LLM solutions to production environments (Docker, CI/CD). Hands-on experience with vector databases such as FAISS, Weaviate, Pinecone, or ChromaDB. Experience with dashboarding tools and visualization libraries (e.g., Streamlit, Plotly, Dash, or Tableau). Exposure to cloud platforms (AWS, GCP, or Azure), including usage of GPU instances and model hosting services. About ChemAnalyst ChemAnalyst is a digital platform, which keeps a real-time eye on the chemicals and petrochemicals market fluctuations, thus, enabling its customers to make wise business decisions. With over 450 chemical products traded globally, we bring detailed market information and pricing data at your fingertips. Our real-time pricing and commentary updates enable users to stay acquainted with new commercial opportunities. Each day, we flash the major happenings around the globe in our news section. Our market analysis section takes it a step further, offering an in-depth evaluation of over 15 parameters including capacity, production, supply, demand gap, company share and among others. Our team of experts analyse the factors influencing the market and forecast the market data for up to the next 10 years. We are a trusted source of information for our international clients, ensuring user-friendly and customized deliveries on time. (ref:hirist.tech)

Certified AI/ML Trainer needed (Online/Offline, Part-Time/Weekend) to teach Python, ML, Deep Learning, tools like TensorFlow, Keras, guide projects, conduct assessments, and mentor students for interviews and certification.

Role Overview We are seeking a highly skilled and experienced Senior Data Analyst/Data Scientist to join our team. The ideal candidate will have deep expertise in SQL, Python programming, and data visualization tools, enabling data-driven decision-making and actionable business insights. Key Responsibilities Develop, optimize, and maintain complex SQL queries and stored procedures for large-scale datasets. Write clean, efficient, and scalable Python code to automate data processing and analysis workflows. Design and build interactive and insightful dashboards and reports using visualization tools (e.g., Tableau, Power BI, Looker, or equivalent). Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Perform advanced data analysis and statistical modeling to identify trends, patterns, and business opportunities. Lead data quality assurance efforts and troubleshoot data discrepancies. Mentor junior analysts and contribute to best practices in data analytics and visualization. Required Skills & Experience: Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field. 5+ years of experience in data analysis or data science roles. Expert-level proficiency in SQL, including query optimization and performance tuning. Strong programming skills in Python with experience in libraries such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Hands-on experience with data visualization tools such as Tableau, Power BI, or Looker. Solid understanding of data warehousing concepts and ETL processes. Experience working with large and complex datasets. Excellent problem-solving, communication, and stakeholder management skills. Ability to work independently and lead analytical projects. Preferred Qualifications: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of machine learning techniques and algorithms. Familiarity with version control systems like Git.

Job Title: Subject Matter Expert (SME) – Data Science & Coding Location: Bogadi, Mysuru Experience: 2 to 5 Years Education: Bachelor's Degree in Computer Science, Data Science, Information Technology, or related field Salary: ₹60,000 – ₹65,000 per month Employment Type: Full-time (Open to both On-site and Hybrid) Job Summary:We are seeking a highly skilled and passionate Subject Matter Expert (SME) in Data Science and Coding to join our team in Bogadi, Mysuru. The ideal candidate will have a strong foundation in programming, data analysis, and machine learning, with the ability to guide and mentor learners or contribute to curriculum and content development. Key Responsibilities: Serve as a subject matter expert in Data Science, Machine Learning, and Programming (Python, R, SQL, etc.) Design, review, and develop learning materials, projects, coding exercises, and assessments. Provide technical mentorship and guidance to learners or junior team members. Collaborate with content developers and instructional designers to ensure content accuracy and relevance. Stay updated with the latest trends and advancements in Data Science and related technologies. Required Skills: Strong proficiency in programming languages such as Python, R, and SQL. Hands-on experience with data visualization tools and libraries (e.g., Matplotlib, Seaborn, Power BI). Solid understanding of machine learning algorithms, data preprocessing, and model evaluation. Familiarity with cloud platforms and version control (AWS, GCP, Git). Excellent communication and problem-solving skills.

Genrobotics Innovations is seeking a passionate and talented machine learning intern with a strong foundation in machine learning (ML) and deep learning (DL) algorithms, particularly in the area of computer vision. The ideal candidate will possess a deep understanding of various ML/DL techniques and their applications to real-world problems. In this role, you will collaborate closely with team stakeholders, contributing to the development, testing, analysis, and optimization of advanced machine learning algorithms for our AI systems. You will work on projects that involve data preprocessing, model development, and fine-tuning, with a focus on delivering high-performing solutions. This internship offers a unique opportunity to gain hands-on experience in cutting-edge AI technologies, while contributing to the development of innovative solutions that impact real-world applications. It is an excellent opportunity for anyone looking to expand their expertise in the fast-evolving field of artificial intelligence and computer vision. Responsibilities And Duties - Collaborate with other team members to understand the requirement and gather data. - Develop ML/DL algorithms specifically computer vision models, test, analyse and optimize the model. - Collect data for the model from different sources, preprocess and augment it to develop efficient, data-driven models. - Collaborate with different stakeholders of the team to gather requirements, develop POCs, and implement the best possible solution. - Develop a user interface for the application so that the end-user can make use of the AI system. - Document the work processes, methodologies, and results to ensure transparency and facilitate knowledge sharing. - Stay up-to-date with latest trends, tools, and technologies in machine learning and computer vision. Skills Required - Knowledge of machine learning concepts and techniques. - Profound knowledge of Python programming language. - Familiarity with ML libraries such as OpenCV, numpy, pandas, sklearn, and matplotlib. - Knowledge of mediapipe would be a plus but not mandatory. - Strong analytical and problem-solving skills. - Ability to collaborate with different team members and communicate effectively. Basic qualification: Currently pursuing bachelor's or masters in computer science, information technology, artificial intelligence, or related fields. Experience: Fresher. Job Location: Ernakulam, Kerala. Note: This is a paid internship.,

This internship offers a unique opportunity to contribute to the development of cutting-edge tools in aviation safety and data analysis, leveraging the power of Machine Learning. Your mission for this internship is to develop an interactive tool for mapping Flight Data Recorders parameters based on Systems and subsystems. To excel in this internship, you will need to become familiarized with the system-wide functionality of Airbus aircraft. Your tasks will include codifying the potentially-affected parameters for a given incident to map the fault propagation tree, conducting research on, and ultimately implementing, the most appropriate Machine Learning algorithm(s) for this particular time-series application, as well as building data visualization and user-interface tools. By the end of this internship, you will have delivered a robust tool that provides an exhaustive list of FDR parameters along with a practical representation of how and what all systems are impacted with respect to a particular fault. Additionally, you will have provided a first-order proof of concept of the applicability of Machine Learning techniques in this space as demonstrated by a limited-scope use case. Required Skills: - Strong programming skills in Python. Knowledge of key machine learning libraries (Scikit-learn, Tensorflow) and scientific computing libraries (e.g., SciPy) is an asset. - Experience with Machine Learning (ML) for time-series applications, including exposure to supervised and unsupervised learning algorithms, an understanding of data preprocessing, feature engineering, and data visualization methods. - Experience with data visualization libraries (e.g., Matplotlib, Plotly, D3.js). - Familiarity with UI/UX design principles for intuitive interfaces would be a plus.,

As a PL SQL Developer with 5 to 7 years of experience, you will be based in Pune/hybrid with an immediate to 15 days notice period. You must possess expertise in languages such as SQL, T-SQL, PL/SQL, and Python libraries like PySpark, Pandas, NumPy, Matplotlib, and Seaborn, along with databases like SQL Server and Synapse. Your key responsibilities will include designing and maintaining efficient data pipelines and ETL processes using SQL and Python, writing optimized queries for data manipulation, using Python libraries for data processing and visualization, performing EOD data aggregation and reporting, working on Azure Synapse Analytics for scalable data transformations, monitoring and managing database performance, collaborating with cross-functional teams, ensuring secure data handling and compliance with organizational policies, and debugging Unix-based scripts. To be successful in this role, you should have a Bachelors/Masters degree in Computer Science, IT, or a related field, along with 5-8 years of hands-on experience in data engineering and analytics. You must have a solid understanding of database architecture, experience in end-of-day reporting setups, and familiarity with cloud-based analytics platforms. This is a full-time, permanent position with day shift schedule and in-person work location.,

About the Role: Baoiam is looking for a passionate and experienced Data Science Trainer to join our team full-time. As a key mentor and subject matter expert, you’ll be responsible for delivering engaging, practical, and outcome-driven sessions on Data Analysis and Advanced Data Science to students enrolled in our flagship program. The position is hybrid , requiring a mix of remote delivery and periodic in-person sessions. Key Responsibilities: Deliver live training sessions and workshops (online/offline) for learners across India. Design and update curriculum aligned with industry trends and job roles. Create high-quality learning content including assignments, case studies, and projects. Mentor and resolve doubts of students on a regular basis. Track student performance and provide personalized feedback. Collaborate with the product and content team to enhance the course experience. Participate in webinars, demos, and onboarding sessions as the face of the program . Support the career team by conducting mock interviews and project evaluations. Required Skills & Experience: Minimum 5+ years of experience in the Data Science field, with real-world project exposure. Proven experience in online teaching/training (edtech background preferred). Proficient in Python, Pandas, NumPy, Scikit-Learn, Seaborn, Matplotlib, Power BI / Tableau. Deep understanding of Data Analysis, Machine Learning, and Business Applications . Strong communication and presentation skills. Ability to explain complex topics in a beginner-friendly manner. Experience with LMS platforms and student engagement tools is a plus. What We Offer: Fixed salary of ₹4.5 LPA Flexible working (hybrid mode) with periodic offline events Opportunity to build your personal brand and reach thousands of learners Be part of an impactful mission in democratizing education To Apply: Email your resume, portfolio (if any), and a short video/audio introducing yourself to hr@baoiam.com Subject Line: Application – Data Science Trainer (Hybrid)

As a Data Engineer + Subject Matter Expert in Data Mining at Newton School of Technology, you will play a crucial role in revolutionizing technology education and empowering students to bridge the employability gap in the tech industry. You will have the opportunity to develop and deliver engaging lectures, mentor students, and contribute to the academic and research environment of the Computer Science Department. Your key responsibilities will include developing comprehensive lectures on "Data Mining", BigData, and Data Analytics courses, covering foundational concepts to advanced techniques. You will guide students on the complete data lifecycle, including preprocessing, cleaning, transformation, and feature engineering. Teaching a wide range of algorithms for Classification, Association rules mining, Clustering, and Anomaly Detections will be a part of your role. Moreover, you will design practical lab sessions, grade assessments, mentor students on projects, and stay updated with the latest advancements in data engineering and machine learning to ensure the curriculum remains cutting-edge. To excel in this role, you are required to have a Ph.D. or a Master's degree with significant industry experience in Computer Science, Data Science, Artificial Intelligence, or related fields. Your expertise in data engineering and machine learning concepts, proficiency in Python and its data science ecosystem, experience in teaching complex topics at the undergraduate level, and excellent communication skills are essential qualifications. Preferred qualifications include a record of academic publications, industry experience as a Data Scientist or in a similar role, familiarity with big data technologies and deep learning frameworks, and experience in mentoring student teams for data science competitions or hackathons. By joining Newton School of Technology, you will be offered competitive salary packages, access to advanced labs and facilities, and the opportunity to be part of a forward-thinking academic team shaping the future of tech education. If you are passionate about transforming technology education, empowering students, and staying at the forefront of data engineering and machine learning, we are excited about the possibility of you joining our team at Newton School of Technology. For more information about our university, please visit our website: Newton School of Technology.,

The ideal candidate must possess strong communication skills, with an ability to listen, comprehend information, and share it with all the key stakeholders, highlighting opportunities for improvement and concerns, if any. He/she must be able to work collaboratively with teams to execute tasks within defined timeframes while maintaining high-quality standards and superior service levels. The ability to take proactive actions and willingness to take up responsibility beyond the assigned work area is a plus. Business Intelligence Specialist with 8 years of progressive experience in driving marketing & campaign performance analytics. Adept at developing and managing BI dashboards, automating reporting frameworks and delivering actionable insights to optimize campaign ROI, engagement and conversions. Senior Analyst Roles and responsibilities: Dashboarding & ReportingBuilt and maintained real-time dashboards and automated performance reports using Tableau / Power BI & SQL to ensure timely insights delivery. Performance Analytics & Insights Generation:Conducted funnel analysis, customer behavior modeling and trend identification to generate insights that enhanced marketing strategies. Cross-functional CollaborationWorked with marketing, product and data teams to align on KPIs and translate business needs into analytical solutions and presentations. Technical and Functional Skills: BI ToolsTableau / Power BI, LookerLanguagesSQL (Postgre SQL, MySQL), Python (Pandas, Matplotlib) / RData PlatformsGoogle BigQuery/ Snowflake / AWS RedshiftMarketing ToolsGoogle Analytics / Adobe Analytics / Salesforce Marketing Cloud / Adobe Analytics

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

Newton School of Technology is on a mission to transform technology education and bridge the employability gap. As India’s first impact university, we are committed to revolutionizing learning, empowering students, and shaping the future of the tech industry. Backed by renowned professionals and industry leaders, we aim to solve the employability challenge and create a lasting impact on society. We are currently looking for a Senior Data Scientist+Instructor to join our Computer Science Department. This is a full-time academic role focused on data mining, analytics, and teaching/mentoring students in core data science and engineering topics. Key Responsibilities Develop and deliver comprehensive and engaging lectures for the undergraduate "Data Mining", “Big Data”, and “Data Analytics” courses, covering the full syllabus from foundational concepts to advanced techniques. Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering. Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering, and Anomaly Detection. Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software. Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs). Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle). Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge. Contribute to the academic and research environment of the department and the university. Required Qualifications A Ph.D. (or a Master's degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field. Demonstrable 3-10 years of expertise in the core concepts of data engineering and machine learning as outlined in the syllabus. Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn). Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging. Excellent communication and interpersonal skills. Preferred Qualifications A strong record of academic publications in reputable data mining, machine learning, or AI conferences/journals. Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer, or in a similar role. Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning frameworks (e.g., TensorFlow, PyTorch). Experience in mentoring student teams for data science competitions or hackathons. Perks & Benefits Competitive salary packages aligned with industry standards. Access to state-of-the-art labs and classroom facilities. To know more about us, feel free to explore our website: Newton School of Technology. We look forward to the possibility of having you join our academic team and help shape the future of tech education!

Required Skills: • 5-7 years' experience in data science, machine learning, or artificial intelligence, with a strong portfolio of projects. • Proficiency in programming languages such as Python, R, or Java, SQL • Experience in ML Platforms like Azure Machine Learning, Databricks, Azure Data Factory and with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). • Expertise in working with Big Data technologies (eg Hadoop, Spark) & databases like Azure Data Lake, Delta Lake, Snowflake. • Strong in MLOps & Deployment: Model training, versioning, monitoring, and deployment. • Strong statistical analysis skills and experience with data visualization tools (e.g., Power BI, Matplotlib, Seaborn). • Experience with deep learning frameworks and natural language processing (NLP). • Understanding of business process and ability to translate business needs into technical requirements. • Experience in AI/ML deployment Manufacturing industry is highly desired. • Excellent problem-solving and critical-thinking skills. • Strong communication and interpersonal skills. • Experience in setting u