1530 Matplotlib Jobs - Page 26

Apponix Technologies is seeking an experienced and passionate Python Full Stack and Data Analytics Trainer/Faculty to join our team. The ideal candidate will have hands-on experience in development and a flair for teaching. Key Responsibilities : Deliver classroom and/or online training sessions in: Python Programming (Core + Advanced) Django / Flask Framework HTML, CSS, JavaScript, Bootstrap Database (MySQL/PostgreSQL) Data Analysis using Python (Pandas, NumPy, Matplotlib, Seaborn) Introduction to Machine Learning and Data Visualization tools (Power BI/Tableau is a plus) Prepare course materials, assignments, and real-time projects Conduct assessments and support student queries Keep up-to-date with industry trends and curriculum development Required Skills & Qualifications : Bachelor's degree in Computer Science, IT, or related field 2+ years of industry/training experience in Python Full Stack and/or Data Analytics Strong communication and presentation skills Prior teaching/training experience is highly preferred Nice to Have : Exposure to tools like Jupyter, Anaconda, Git/GitHub Knowledge of Power BI / Tableau Knowledge of deployment (Heroku, AWS, etc.) Salary : Competitive Job Type : [Full-Time / Part-Time / Freelance ] Work Location : [In-office] Job Types: Full-time, Part-time, Freelance Contract length: 12 months Pay: ₹300,000.00 - ₹600,000.00 per year Schedule: Day shift Evening shift Morning shift Supplemental Pay: Commission pay Overtime pay Education: Secondary(10th Pass) (Preferred) Location: Bangalore, Karnataka (Required) Work Location: In person

India ID asp-007-0725 Full Time 07/07/2025 Skill Set: AI,Machine Learning,NLP,Gen AI Job Summary: We are looking for a passionate and results-driven Data Scientist with 3–5 years of hands-on experience in AI, Machine Learning, Deep Learning, NLP, and Generative AI to join our dynamic team. You will work on cutting-edge projects, transforming data into meaningful insights and AI-driven solutions that support strategic business decisions and product innovation. Key Responsibilities: Design, build, and deploy machine learning models and AI solutions for real-world business problems Work with Natural Language Processing (NLP) techniques to extract insights from unstructured data (text, voice, documents). Research and apply Generative AI (Gen AI) models and frameworks (e.g., LLMs, transformers) to solve customer and product-specific use cases. Collaborate closely with cross-functional teams including product, engineering, and business to gather requirements and deliver impactful data solutions. Interpret model results, evaluate performance metrics, and refine solutions for improved outcomes. Stay updated with the latest advancements in AI/ML and bring in innovative ideas and best practices to the team. Required Skills: Strong proficiency in Python and ML libraries Knowledge with Natural Language Processing (NLP) techniques and tools s Experience working on Generative AI models – including Large Language Models (LLMs), prompt engineering, or fine-tuning. Strong foundation in statistics, data analysis, and machine learning algorithms. Familiarity with data handling using Pandas, NumPy, and data visualization tools like Matplotlib / Seaborn / Power BI. Who We Are and What We Do Aspire Systems is a global technology services firm serving as a trusted technology partner for more than 250 customers across the globe. Aspire works with the world's most innovative enterprises in Banking, Insurance, Retail and ISVs, helping them leverage technology to transform their business in the current digital landscape. Aspire’s proven approach to Software Engineering & Digital Technologies helps companies run smart business models. Aspire’s core philosophy of ‘Attention. Always.’ communicates its belief in lavishing care and attention to its customers and employees.

Job Title Data Scientist I/II Job Description At Philips, data is in the center of everything we do. We believe that, every data item has a story of its own. If you have a penchant for unravelling the hidden patterns, then you are the person we are looking for! To build our next generation smarts, you will be working with experts in a variety of fields, including clinical & regulatory specialists, UX designers, dental and skin care professionals, system architects, product management to integrate new technologies and refine system performance. You will help build learning systems, leveraging data sets consisting of user interactions and actions, collected from hundreds of thousands of consumer devices, per day to model, analyse, and predict user behaviours. While some of our algorithms run on resource constrained devices, others require large clusters on our cloud infrastructure. As data scientist you will investigate, discern, and interpret data sets to recognize user behaviour and predict trends. Job Responsibilities · Use predictive modeling to increase and optimize customer experiences, revenue generation, campaign optimization and other business outcomes · Work with product management to develop data use cases and embed predictive models in workflows on resource constrained platforms and cloud enabled. · Selecting features, building and optimizing classifiers using machine learning and deep learning techniques · Collaborates with Data Engineers to enhance data collection and ingestion/curation techniques to include information that is relevant for building analytic systems · Processing, cleansing, and verifying the integrity of data used for analysis · Develop processes and tools to monitor and analyze model performance and data accuracy. Life cycle management of predictive models. · Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. Managing and designing the reporting environment, including data sources security, and metadata. Job Qualifications: Master’s degree or PhD in Computer Science, Information management, Statistics or related field, with 5 to 7 years of experience in the Consumer or Healthcare industry manipulating data sets and building predictive models with focus on product development Experience in statistical modelling, machine learning, data mining, unstructured data analytics and natural language processing. Sound understanding of - Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, Nonparametric Methods, Multivariate Statistics, etc. Strong hands on knowledge of ML techniques like regression algorithms, K-NN, Naïve Bayes, SVM and ensemble techniques like Random forest, AdaBoost etc Having strong knowledge in unsupervised learning algorithms using Neural networks and Deep-Learning Strong knowledge in Data Wrangling and Exploration techniques to identify the patterns, trends and outliners. Deep knowledge and practical experience with data science toolkits, such as NumPy, Pandas, scikit-learn or equivalent Experience with data visualization tools, such as QlikView, Matplotlib, seaborn or equivalent tools. Proficiency in using query languages, such as SQL, PL/SQL Hands on experience in the one or more databases like Hadoop, AWS Redshift, Snowflake etc. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good ETL scripting and programming skills, such as Python, R or Scala to integrate developed solution into the proposition. A team player capable of working and integrating across cross-functional team for implementing project requirements. Experience in technical requirements gathering and documentation. Ability to work effectively and independently in a fast-paced global collaborative agile team environment with tight deadlines A flexible, pragmatic and collaborative team player with innate ability to engage with stakeholders at all levels in the organization. A self-starter with high levels of drive, energy, resilience and a desire for professional excellence with a passion for data and data science How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. this role is an office role. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. Learn more about our business . Discover our rich and exciting history . Learn more about our purpose . If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here . #LI-EU #LI-Hybrid #LI-PHILIN

Requisition ID: 8103 Bangalore, India Enphase Energy is a global energy technology company and leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, Enphase transformed the solar industry with our revolutionary microinverter technology, which turns sunlight into a safe, reliable, resilient, and scalable source of energy to power our lives. Today, the Enphase Energy System helps people make, use, save, and sell their own power. Enphase is also one of the fastest growing and innovative clean energy companies in the world, with approximately 68 million products installed across more than 145 countries. If you are passionate about advancing a more sustainable future, this is the perfect time to join Enphase! About the role At Enphase - Staff Data Analyst, your work won't just sit in a dashboard — it will drive decisions at the highest levels. You'll have the opportunity to present insights directly to the CEO, VPs, and senior leadership, influencing strategy and shaping the future of our products and operations. This is a high-impact role for those who don’t just crunch numbers — they connect the dots, tell compelling stories with data, and turn insights into action. If you're looking to work on meaningful problems, move fast, and be seen — this is where you belong. The Staff Data Analyst will be responsible for analyzing and interpreting product quality data through the entire product lifecycle. Provides essential support for the data management activities of the Quality organization. Collaborates with Engineering /CS teams and Information Technology. What you will do Function as a resource to departments and process improvement teams in the areas of quality data management Work with stakeholders throughout the Quality organization to identify opportunities for leveraging company data to drive product/process improvements Work with cross functional teams to understand their needs and run query to support their analyses Develop deep knowledge of the dataset and able to drill down and wide Run SQL/R/Python queries on various databases to identify patterns and diagnose problems Identify opportunities for automation, monitoring and visualization using automated tools Who you are and what you bring BE/B.Tech degree or higher in Engineering, or Computer Science 8+ year's experience in data science required Expertise in programming/query languages such as Python (Matplotlib, Plotly libraries)/R/SQL Design, develop and implement data-driven strategies and machine learning models Able to understand various data structures and common methods in data transformation Expertise in delivering analysis results using custom made visualizations Ability to interpret and summarize presentations for executives Strong verbal and written communication skills required

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

Job Summary: We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will be responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports to support business decisions. This role requires a strong foundation in data analysis, statistical modeling, and visualization, along with a passion for turning data into actionable insights. Key Responsibilities: Collect, process, and clean data from various sources to ensure data quality and integrity. Perform data analysis and statistical evaluations to identify trends, patterns, and insights. Create compelling data visualizations and dashboards using tools such as Power BI, Tableau, or similar. Write clean and efficient code to manipulate large datasets (using Python, R, SQL, etc.). Collaborate with cross-functional teams to define and track key performance indicators (KPIs). Document data analysis processes and communicate findings with stakeholders. Work closely with Data Engineering teams to support data pipeline development and optimization. Must-Have Skills: Strong proficiency in data analysis and statistical methods Hands-on experience with data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn) Proficient in programming languages such as Python, R, or SQL Understanding of data engineering basics and working with structured/unstructured data Ability to interpret data and present it clearly to both technical and non-technical audiences Good-to-Have Skills: Experience with advanced programming concepts and scripting Familiarity with ETL processes and tools like Apache NiFi, Talend, or Informatica Knowledge of machine learning fundamentals and predictive analytics Exposure to advanced statistical modeling techniques Experience with cloud platforms (AWS, GCP, Azure) for data handling Educational Qualifications: Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Data Science , or a related field Job Type: Full-time Pay: From ₹700,000.00 per year Benefits: Health insurance Schedule: Day shift Application Question(s): How many years of experience Data Analyst? How many years experience do you have in Power Bi? What is your current salary? Work Location: In person

3 - 5 Years 4 Openings Kolkata, Pune Role description Role Proficiency: Independently interprets data and analyses results using statistical techniques Outcomes: Independently Mine and acquire data from primary and secondary sources and reorganize the data in a format that can be easily read by either a machine or a person; generating insights and helping clients make better decisions. Develop reports and analysis that effectively communicate trends patterns and predictions using relevant data. Utilizes historical data sets and planned changes to business models and forecast business trends Working alongside teams within the business or the management team to establish business needs. Creates visualizations including dashboards flowcharts and graphs to relay business concepts through visuals to colleagues and other relevant stakeholders. Set FAST goals Measures of Outcomes: Schedule adherence to tasks Quality – Errors in data interpretation and Modelling Number of business processes changed due to vital analysis. Number of insights generated for business decisions Number of stakeholder appreciations/escalations Number of customer appreciations No: of mandatory trainings completed Outputs Expected: Data Mining: Acquiring data from various sources Reorganizing/Filtering data: Consider only relevant data from the mined data and convert it into a format which is consistent and analysable. Analysis: Use statistical methods to analyse data and generate useful results. Create Data Models: Use data to create models that depict trends in the customer base and the consumer population as a whole Create Reports: Create reports depicting the trends and behaviours from the analysed data Document: Create documentation for own work as well as perform peer review of documentation of others' work Manage knowledge: Consume and contribute to project related documents share point libraries and client universities Status Reporting: Report status of tasks assigned Comply with project related reporting standards and process Code: Create efficient and reusable code. Follows coding best practices. Code Versioning: Organize and manage the changes and revisions to code. Use a version control tool like git bitbucket etc. Quality: Provide quality assurance of imported data working with quality assurance analyst if necessary. Performance Management: Set FAST Goals and seek feedback from supervisor Skill Examples: Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching. Communication Skills: Ability to present findings or translate the data into an understandable document Critical Thinking: Ability to look at the numbers trends and data; coming up with new conclusions based on the findings. Attention to Detail: Making sure to be vigilant in the analysis to come with accurate conclusions. Quantitative skills - knowledge of statistical methods and data analysis software Presentation Skills - reports and oral presentations to senior colleagues Mathematical skills to estimate numerical data. Work in a team environment Proactively ask for and offer help Knowledge Examples: Knowledge Examples Proficient in mathematics and calculations. Spreadsheet tools such as Microsoft Excel or Google Sheets Advanced knowledge of Tableau or PowerBI SQL Python DBMS Operating Systems and software platforms Knowledge about customer domain and also sub domain where problem is solved Code version control e.g. git bitbucket etc Additional Comments: Statistical Concepts, SQL, Machine Learning (Regression and Classification), Deep Learning (ANN, RNN, CNN), Advanced NLP, Computer Vision, Gen AI/LLM (Prompt Engineering, RAG, Fine Tuning), AWS Sagemaker/Azure ML/Google Vertex AI, Basic implementation experience of Docker, Kubernetes, kubeflow, MLOps, Python (numpy, panda, sklearn, streamlit, matplotlib, seaborn) Skills Data Science,Python,Deep Learning About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

Role Description Role Proficiency: Independently develop data-driven solutions to difficult business challenges by utilize analytical statistical and programming skills to collect analyze and interpret large data sets under supervision. Outcomes Work with stakeholders throughout the organization to identify opportunities for leveraging data from our customers to make models that can generate business insights Create new experimental frameworks or build automated tools to collect data Correlate similar data sets to find actionable results Build predictive models and machine learning algorithms to analyse large amounts of information to discover trends and patterns. Mine and analyse data from company databases to drive optimization and improvement of product development marketing techniques business strategies etc Develop processes and tools to monitor and analyse model performance and data accuracy. Develop Data Visualization and illustrations on given business problem Use predictive modelling to increase and optimize customer experiences and other business outcomes. Coordinate with different functional teams to implement models and monitor outcomes. Set FAST goals and provide feedback on FAST goals of reportees Measures Of Outcomes Number of business processes changed due to vital analysis. Number of Business Intelligent Dashboards developed Number of productivity standards defined for project Number of Prediction and Modelling models used Number of new approaches applied to understand the business trends Quality of data visualization done to help non-technical stakeholders comprehend easily. Number of mandatory trainings completed Outputs Expected Statistical Techniques: Apply statistical techniques like regression properties of distributions statistical tests etc. to analyse data. Machine Learning Techniques Apply machine learning techniques like clustering decision tree learning artificial neural networks etc. to streamline data analysis. Creating Advanced Algorithms Create advanced algorithms and statistics using regression simulation scenario analysis modelling etc. Data Visualization Visualize and present data for stakeholders using: Periscope Business Objects D3 ggplot etc. Management And Strategy Oversees the activities of analyst personnel and ensures the efficient execution of their duties. Critical Business Insights Mines the business’s database in search of critical business insights and communicates findings to the relevant departments. Code Creating efficient and reusable code meant for the improvement manipulation and analysis of data. Version Control Manages project codebase through version control tools e.g. git bitbucket etc. Predictive Analytics Seeks to determine likely outcomes by detecting tendencies in descriptive and diagnostic analysis Prescriptive Analytics Attempts to identify what business action to take Create Reports Creates reports depicting the trends and behaviours from the analysed data Training end users on new reports and dashboards. Document Create documentation for own work as well as perform peer review of documentation of others' work Manage Knowledge Consume and contribute to project related documents share point libraries and client universities Status Reporting Report status of tasks assigned Comply with project related reporting standards and process Skill Examples Excellent pattern recognition and predictive modelling skills Extensive background in data mining and statistical analysis Expertise in machine learning techniques and creating algorithms. Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching. Communication Skills: Communicate effectively with a diverse population at various organization levels with the right level of detail. Critical Thinking: Data Analysts must look at numbers trends and data and come to new conclusions based on the findings. Strong meeting facilitation skills as well as presentation skills. Attention to Detail: Making sure to be vigilant in the analysis to come to correct conclusions. Mathematical Skills to estimate numerical data. Work in a team environment and have strong interpersonal skills to work in collaborative environment Proactively ask for and offer help Knowledge Examples Knowledge Examples Programming languages – Java/ Python/ R. Web Services - Redshift S3 Spark DigitalOcean etc. Statistical and data mining techniques: GLM/Regression Random Forest Boosting Trees text mining social network analysis etc. Google Analytics Site Catalyst Coremetrics Adwords Crimson Hexagon Facebook Insights etc. Computing Tools - Map/Reduce Hadoop Hive Spark Gurobi MySQL etc. Database languages such as SQL NoSQL Analytical tools and languages such as SAS & Mahout. Practical experience with ETL data processing etc. Proficiency in MATLAB. Data visualization software such as Tableau or Qlik. Proficient in mathematics and calculations. Spreadsheet tools such as Microsoft Excel or Google Sheets DBMS Operating Systems and software platforms Knowledge about customer domain and about sub domain where problem is solved Proficient in at least 1 version control tool like git bitbucket Have experience working with project management tool like Jira Additional Comments Must have -Statistical Concepts, SQL, Machine Learning (Regression and Classification), Deep Learning (ANN, RNN, CNN), Advanced NLP, Computer Vision, Gen AI/LLM (Prompt Engineering, RAG, Fine Tuning), AWS Sagemaker/Azure ML/Google Vertex AI, Basic implementation experience of Docker, Kubernetes, kubeflow, MLOps, Python (numpy, panda, sklearn, streamlit, matplotlib, seaborn) Skills Data Management,Data Science,Python

Job Description We are seeking a highly analytical and strategic Data Scientist/Senior Data Scientist to join our team. The ideal candidate will have hands-on experience in leading data-driven projects, applying advanced analytics, and delivering actionable insights. This role involves collaborating across teams, mentoring junior staff, and staying current with developing technologies in data science and machine learning. Key Skills Master’s degree or higher in data science, statistics, computer science, or a related field. Proficiency in R or Python (R preferred) for data modeling and analysis. Strong knowledge of SQL for data extraction and transformation. Hands-on experience with machine learning models and statistical techniques. Proven ability to translate complex data findings into business strategies. Experience in cross-validation techniques and model evaluation. Excellent communication skills for delivering technical and non-technical reports. Ability to mentor junior data scientists and guide project execution. Knowledge of ethical data practices and data governance. Familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib. Understanding of big data platforms and distributed computing frameworks. Knowledge of cloud platforms like AWS, Azure, or Google Cloud for data projects. Roles & Responsibilities Design and execute data science projects aligned with business objectives. Collect, clean, and prepare data from multiple sources for analysis. Mentor and guide junior data scientists to ensure quality output. Develop statistical models and machine learning algorithms to solve business problems. Monitor model performance and refine approaches for better accuracy. Prepare easy-to-understand reports to communicate insights and outcomes. Collaborate with cross-functional teams to align data initiatives with strategic goals. Stay updated with advancements in data science and apply new methods to projects. Ensure compliance with quality and information security standards in all data processes.

Position Overview The AI & Automation Analyst at SingleStore is a foundational member of the Analytics, Enterprise Tech, and AI Enablement team, reporting to the head of Digital and AI Transformation. Join a high-visibility, high-impact team delivering essential AI and automation solutions as part of our new AI & Automation Center of Excellence. This role partners cross-functionally—collaborating with analytics, engineering, business, and IT teams—to design and implement initiatives that drive innovation, streamline operations, and amplify data-driven decision making. You will leverage leading AI and automation technologies to tackle complex challenges, directly supporting SingleStore’s leadership in enterprise digital transformation and rapid AI adoption. Here, your work contributes to both immediate business wins and the next evolution of our operational and technical capabilities. Role and Responsibilities Engage with internal stakeholders from business units and functional departments to gather requirements and translate needs into actionable AI and automation initiatives. Collaborate closely with data scientists, engineers, and IT professionals to design, build, and implement scalable AI-driven solutions. Identify and analyze high-impact opportunities for process optimization, business automation, and operational improvement. Lead the testing, validation, and iteration of AI and automation projects to ensure robust performance, accuracy, and scalability in real-world environments. Monitor implemented solutions, collect feedback, and drive ongoing improvements while assimilating advancements in AI technologies and best practices. Maintain thorough technical documentation and prepare regular progress reports, summarizing outcomes, innovations, and recommendations for leadership and stakeholders. Uphold best practices in data privacy, regulatory compliance, and ethical AI usage. Required Minimum Qualifications Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. Minimum 2 years of experience in AI, machine learning, data science, data analysis, or automation roles. Proficiency in at least one programming language (e.g., Python) with experience using data analysis libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn. Strong understanding of data analysis, statistical concepts, and data visualization techniques. Familiarity with data processing tools and platforms (e.g., SQL). Ability to distill complex data into actionable insights and communicate technical concepts clearly to diverse audiences. Experience working in collaborative, cross-functional teams. Excellent stakeholder communication and expectation management skills. Eagerness to learn and adapt in a rapidly evolving technical environment. Preferred Experience in SaaS/subscription-based business models. Familiarity with business systems (e.g., Salesforce, Netsuite). Hands-on experience integrating AI and Automation into both modern and legacy systems. Demonstrable skills in problem-solving, project management, and continuous improvement in a growth-focused environment. Benefits Company Wide: Technology stipend for new employees Monthly cell phone and internet stipend Health and wellness benefit In-office catered lunches (where applicable) and monthly Grubhub credit Company and team events Flexible time off and volunteer time off Stock options Country Specific (United States) Comprehensive health benefits (medical, dental, vision) 401(k) retirement plan As employees are located in many countries, some benefits may differ. SingleStore strives to provide equitable perks and benefits across our locations. About SingleStore SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. Our distributed SQL database unifies transactional and analytical workloads, empowering leaders to deliver exceptional, real-time data experiences for their customers. SingleStore is venture-backed and headquartered in San Francisco, with offices across North America, Europe, and Asia. Diversity & Inclusion We are committed to diversity and inclusion, valuing individuals who thrive on diverse teams and bring a broad range of perspectives to SingleStore. Recruitment Agencies Statement SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement with the Company.

Our client in India is a professional services firm. Our professionals leverage the global network of firms. providing detailed knowledge of local laws, regulations, markets, and competition. Our client has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada. Our client in India offers services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused, and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. Our professionals provide the experience to help companies stay on track and deal with risks that could unhinge their business survival. Our services enable clients to effectively coordinate their key growth. quality and operational challenges, and working in partnership with us, clients have the benefits of our client's experienced, objective, and industry-grounded viewpoints. Requirements Roles Responsibilities We are seeking a highly skilled and experienced Senior Data Scientist with a strong foundation in Python programming and a passion for solving complex data problems. The ideal candidate will have over 6 years of hands-on experience in data science, with a proven track record of building and deploying data-driven solutions. Familiarity with UNIX-based systems and DevOps practices is a strong plus. Key Responsibilities:  Design, develop, and maintain scalable data pipelines and ETL workflows using Python.  Design, develop, and deploy machine learning models and data pipelines using Python.  Analyze large datasets to extract actionable insights and support business decision-making.  Collaborate with cross-functional teams including data engineers, product managers, and software developers.  Automate data workflows and ensure data quality and integrity.  Contribute to the development of scalable and maintainable data science solutions.  Utilize UNIX-based systems for scripting, automation, and data processing tasks.  (Preferred) Work with DevOps tools and practices to streamline model deployment and monitoring.  (Preferred) Leverage DevOps tools for model deployment, monitoring, and CI/CD integration.  (Preferred) Utilize UNIX-based systems for scripting, automation, and data handling. Qualification  Bachelor's or master's degree in computer science, Data Science, Statistics, or a related field.  5+ years of experience in data science roles with a strong focus on Python.  Proficiency in Python libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib/Seaborn.  Experience with data wrangling, feature engineering, and model evaluation techniques.  Solid understanding of statistical analysis and machine learning algorithms.  Familiarity with UNIX/Linux environments and shell scripting.  Excellent problem-solving and communication skills.  Solid experience in ETL development and data pipeline automation CRITERIA Strong proficiency in Python programming and data manipulation libraries (e.g., Pandas, NumPy) Experience with DevOps tools such as Docker, Kubernetes, Jenkins, or CI/CD pipelines Exposure to cloud platforms like AWS, GCP, or Azure Knowledge of version control systems like Git Experience with big data tools (e.g., Spark, Hadoop)is a plus Benefits Work with one of the Big 4's in India Healthy work Environment Work-Life Balance

Exp : 15yrs to 20yrs Location: Chennai/Noida GEN AI ARCHITECT Domain :- Manufacturing, Oil and Gas, Life science, health care, TTL ( Primary domain ) Tire 1 companies. Job Description : The Generative Solutions Architect will be responsible for designing and implementing cutting-edge generative AI models and systems. He / She will collaborate with data scientists, engineers, product managers, and other stakeholders to develop innovative AI solutions for various applications including natural language processing (NLP), computer vision, and multimodal learning. This role requires a deep understanding of AI/ML theory, architecture design, and hands-on expertise with the latest generative models. Key Responsibilities : GenAI application conceptualization and design: Understand the use cases under consideration, conceptualization of the application flow, understanding the constraints and designing accordingly to get the most optimized results. Deep knowledge to work on developing and implementing applications using Retrieval-Augmented Generation (RAG)-based models, which combine the power of large language models (LLMs) with information retrieval techniques. Prompt Engineering: Be adept at prompt engineering and its various nuances like one-shot, few shot, chain of thoughts etc and have hands on knowledge of implementing agentic workflow and be aware of agentic AI concepts NLP and Language Model Integration - Apply advanced NLP techniques to preprocess, analyze, and extract meaningful information from large textual datasets. Integrate and leverage large language models such as LLaMA2/3, Mistral or similar offline LLM models to address project-specific goals. Small LLMs / Tiny LLMs: Familiarity and understanding of usage of SLMs / Tiny LLMs like phi3, OpenELM etc and their performance characteristics and usage requirements and nuances of how they can be consumed by use case applications. Collaboration with Interdisciplinary Teams - Collaborate with cross-functional teams, including linguists, developers, and subject matter experts, to ensure seamless integration of language models into the project workflow. Text / Code Generation and Creative Applications - Explore creative applications of large language models, including text / code generation, summarization, and context-aware responses. Skills & Tools Programming Languages - Proficiency in Python for data analysis, statistical modeling, and machine learning. Machine Learning Libraries - Hands-on experience with machine learning libraries such as scikit-learn, Huggingface, TensorFlow, and PyTorch. Statistical Analysis - Strong understanding of statistical techniques and their application in data analysis. Data Manipulation and Analysis - Expertise in data manipulation and analysis using Pandas and NumPy. Database Technologies - Familiarity with vector databases like ChromaDB, Pinecone etc, SQL and Non-SQL databases and experience working with relational and non-relational databases. Data Visualization Tools - Proficient in data visualization tools such as Tableau, Matplotlib, or Seaborn. Familiarity with cloud platforms (AWS, Google Cloud, Azure) for model deployment and scaling. Communication Skills - Excellent communication skills with the ability to convey technical concepts to non-technical audiences.

CryptoChakra is a leading cryptocurrency analytics and education platform committed to demystifying digital asset markets for traders, investors, and enthusiasts worldwide. By integrating cutting-edge AI-driven predictions, blockchain analytics, and immersive learning modules, we empower users to navigate market volatility with confidence. Our platform combines advanced tools like Python, TensorFlow, and AWS to deliver actionable insights, risk assessments, and educational content that bridge the gap between complex data and strategic decision-making. As a remote-first innovator, we champion accessibility in decentralized finance, fostering a future where crypto literacy is universal. Position: Fresher Data Scientist Intern Remote | Full-Time Internship | Compensation: Paid/Unpaid based on suitability Role Summary Join CryptoChakra’s data science team to gain hands-on experience in transforming raw blockchain data into impactful insights. This role is tailored for recent graduates or students eager to apply foundational skills in machine learning, statistical analysis, and data storytelling to real-world crypto challenges. Key Responsibilities Data Processing: Clean and preprocess blockchain datasets from sources like Etherscan or CoinGecko using Python/R. Predictive Modeling: Assist in building and testing ML models for price forecasting or DeFi trend analysis. Insight Generation: Create visualizations (Tableau, Matplotlib) to simplify complex trends for educational content. Collaboration: Work with engineers and educators to refine analytics tools and tutorials. Documentation: Maintain clear records of methodologies and findings for team reviews. Who We’re Looking For Technical Skills Foundational knowledge of Python/R for data manipulation (Pandas, NumPy). Basic understanding of statistics (regression, hypothesis testing). Familiarity with data visualization tools (Tableau, Power BI) or libraries (Seaborn). Curiosity about blockchain technology, DeFi, or crypto markets. Soft Skills Eagerness to learn and adapt in a fast-paced remote environment. Strong problem-solving mindset and attention to detail. Ability to communicate technical concepts clearly. Preferred (Not Required) Academic projects involving data analysis or machine learning. Exposure to SQL, AWS, or big data tools. Pursuing a degree in Data Science, Computer Science, Statistics, or related fields. What We Offer Mentorship: Guidance from experienced data scientists and blockchain experts. Skill Development: Training in real-world tools like TensorFlow and Tableau. Portfolio Projects: Contribute to live projects featured on CryptoChakra’s platform. Flexibility: Remote work with adaptable hours for students.

Job Summary JD- Having a background in Retail will be a Big Plus. Advanced in Python: Proven experience with core libraries like pandas, numpy, scikit-learn, and matplotlib, plus advanced tools like statsmodels, xgboost, lightgbm, prophet, deep learning-based forecasting (e.g. Neural forecast). Advanced Forecasting Techniques: Experience with ensemble models, hierarchical forecasting, probabilistic forecasting, and multivariate time series. Pricing Models: Background in price elasticity modeling, good to have experience in optimization - at least one of the 2 resources Model Evaluation: Familiarity with time-series cross-validation, backtesting, and metrics such as MAE, MAPE, RMSE, SMAPE, and prediction intervals. SQL Proficiency: Ability to query and manage data from relational databases. Version Control: Comfortable working with Git/GitHub for collaboration and code management. Mandate skill- python and advanced forcesting skills with models like arima etc. Any shift- Second shift Location-Banglore

Job Summary JD- Having a background in Retail will be a Big Plus. Advanced in Python: Proven experience with core libraries like pandas, numpy, scikit-learn, and matplotlib, plus advanced tools like statsmodels, xgboost, lightgbm, prophet, deep learning-based forecasting (e.g. Neural forecast). Advanced Forecasting Techniques: Experience with ensemble models, hierarchical forecasting, probabilistic forecasting, and multivariate time series. Pricing Models: Background in price elasticity modeling, good to have experience in optimization - at least one of the 2 resources Model Evaluation: Familiarity with time-series cross-validation, backtesting, and metrics such as MAE, MAPE, RMSE, SMAPE, and prediction intervals. SQL Proficiency: Ability to query and manage data from relational databases. Version Control: Comfortable working with Git/GitHub for collaboration and code management. Mandate skill- python and advanced forcesting skills with models like arima etc. Any shift- Second shift Location-Banglore

Role**: Digital : Data Science Required Technical Skill Set: Digital : Data Science Desired Experience Range: 03 - 08 yrs Notice Period: Immediate to 90Days only Location of Requirement: Hyderabad/Bangalore/Pune/Chennai/Kolkata We are currently planning to do a Virtual Interview Job Description: Must-Have** (Ideally should not be more than 3-5) Proficiency in Python or R for data analysis and modeling. Strong understanding of machine learning algorithms (regression, classification, clustering, etc.). Experience with SQL and working with relational databases. Hands-on experience with data wrangling, feature engineering, and model evaluation techniques. Experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn. Strong understanding of statistics and probability. Ability to translate business problems into analytical solutions. Good-to-Have Experience with deep learning frameworks (TensorFlow, Keras, PyTorch). Knowledge of big data platforms (Spark, Hadoop, Databricks). Experience deploying models using MLflow, Docker, or cloud platforms (AWS, Azure, GCP). Familiarity with NLP, computer vision, or time series forecasting. Exposure to MLOps practices for model lifecycle management. Understanding of data privacy and governance concepts. SN Responsibility of / Expectations from the Role 1 Work with stakeholders to identify business requirements and opportunities for leveraging data. Design and implement advanced analytics models using machine learning and statistical techniques. Clean, process, and analyze large datasets from various sources (structured & unstructured). Develop, test, and deploy predictive models and data pipelines. Create data visualizations, dashboards, and reports to communicate insights to non-technical users. Collaborate with data engineers, analysts, and product teams to integrate models into production environments. Monitor and continuously improve model performance. Stay up-to-date with latest research, tools, and techniques in data science and AI.

Apponix Technologies is seeking an experienced and passionate Python Full Stack and Data Analytics Trainer/Faculty to join our team. The ideal candidate will have hands-on experience in development and a flair for teaching. Key Responsibilities : Deliver classroom and/or online training sessions in: Python Programming (Core + Advanced) Django / Flask Framework HTML, CSS, JavaScript, Bootstrap Database (MySQL/PostgreSQL) Data Analysis using Python (Pandas, NumPy, Matplotlib, Seaborn) Introduction to Machine Learning and Data Visualization tools (Power BI/Tableau is a plus) Prepare course materials, assignments, and real-time projects Conduct assessments and support student queries Keep up-to-date with industry trends and curriculum development Required Skills & Qualifications : Bachelor's degree in Computer Science, IT, or related field 2+ years of industry/training experience in Python Full Stack and/or Data Analytics Strong communication and presentation skills Prior teaching/training experience is highly preferred Nice to Have : Exposure to tools like Jupyter, Anaconda, Git/GitHub Knowledge of Power BI / Tableau Knowledge of deployment (Heroku, AWS, etc.) Salary : Competitive Job Type : [Full-Time / Part-Time / Freelance ] Work Location : [In-office] Job Types: Full-time, Part-time, Freelance Contract length: 12 months Pay: ₹300,000.00 - ₹600,000.00 per year Schedule: Day shift Evening shift Morning shift Supplemental Pay: Commission pay Overtime pay Education: Secondary(10th Pass) (Preferred) Location: Bangalore, Karnataka (Required) Work Location: In person

Job Title: Python FullStack Developer Location: Hyderabad Type: Full-time Client: Direct TECHNICAL EXPERTISE: Minimum 6+ years of relevant experience is a MUST 1.Good understanding of the latest Python and Python Libraries 2.In-depth knowledge and experience using Python, Django, Flask, React and Node Js 3.Expertise in Python Libraries like Numpy, Pandas, Matplotlib, seaborn, Rasa, Rasa X etc. 4.Expertise in Web services – REST and SOAP 5.Extensive knowledge in design, development and implementation of highly scalable and reliable micro services. 6.Expert in front end technologies such as React, Angular, Java Script, HTML, CSS and bootstrap. 7.Knowledge and experience in packaging and deploying containerized applications. 8.Familiarity with DevOps tools such as docker, Kubernetes, git, Jenkins for CI/CD is required. 9.Familiarity with build and development tools is expected. 10.Familiarity with deploying the applications on Web servers/Application servers. 11.Knowledge of Web Application Servers and MQ (Messaging Queue) technologies and Apache Kafka messaging. 12.Experience with SQL and Non-SQL databases and ability to write complex SQL queries 13.Experience in unit & integration testing SOFT SKILLS 1.Excellent written, verbal and communication skills 2.Ability to write professional technical documentation. 3.Able to actively follow progress and deliver information on a frequent basis

Description Job Description We are seeking a highly analytical and strategic Data Scientist/Senior Data Scientist to join our team. The ideal candidate will have hands-on experience in leading data-driven projects, applying advanced analytics, and delivering actionable insights. This role involves collaborating across teams, mentoring junior staff, and staying current with developing technologies in data science and machine learning. Skills Key Skills Master’s degree or higher in data science, statistics, computer science, or a related field. Proficiency in R or Python (R preferred) for data modeling and analysis. Strong knowledge of SQL for data extraction and transformation. Hands-on experience with machine learning models and statistical techniques. Proven ability to translate complex data findings into business strategies. Experience in cross-validation techniques and model evaluation. Excellent communication skills for delivering technical and non-technical reports. Ability to mentor junior data scientists and guide project execution. Knowledge of ethical data practices and data governance. Familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib. Understanding of big data platforms and distributed computing frameworks. Knowledge of cloud platforms like AWS, Azure, or Google Cloud for data projects. Responsibilities Roles & Responsibilities Design and execute data science projects aligned with business objectives. Collect, clean, and prepare data from multiple sources for analysis. Mentor and guide junior data scientists to ensure quality output. Develop statistical models and machine learning algorithms to solve business problems. Monitor model performance and refine approaches for better accuracy. Prepare easy-to-understand reports to communicate insights and outcomes. Collaborate with cross-functional teams to align data initiatives with strategic goals. Stay updated with advancements in data science and apply new methods to projects. Ensure compliance with quality and information security standards in all data processes. Contacts Email: careers@grazitti.com Address: Grazitti Interactive LLP (SEZ Unit), 2nd floor, Quark City SEZ, A-40A, Phase VIII Extn., Mohali, SAS Nagar, Punjab, 160059, Mohali, Punjab, India

📢 Job Opportunity at PhysicsWallah Position: Weekend Instructor – Data Science (Grades 11 & 12) Employment Type: Part-Time (Weekend-Based) Location: Remote (Work From Home) Company: PhysicsWallah About the Program :PhysicsWallah is launching a 1-year and 2-year structured Data Science Program tailored for students of Grades 11 & 12. The curriculum is focused on building computational thinking, Python programming skills, real-world data handling, AI/ML concepts, and project-based learning. Each program culminates in a capstone data-driven project to enhance practical application . Key Responsibilitie s:Deliver interactive and hands-on weekend sessions (Saturday & Sunday) as per the provided curriculu m. Teach core topics li ke:Python Programm ingWeb Scrap ingData Analysis using Pandas & Nu mPyData Visualization (Matplotlib, Seabo rn)Introduction to Databases (MyS QL)AI/ML fundament alsFacilitate collaborative coding exercises and mentor students through project wo rk.Track student performance and provide actionable feedback on assignments and capstone projec ts.Coordinate with academic teams to ensure structured delivery and curriculum alignme nt.Be available during class hours for doubt-clearing, mentoring, and academic suppo rt. Requireme nts:Must-H ave:Proficiency in Python, Data Analysis Libraries (Pandas, NumPy), Data Visualization (Matplotlib), Databases (MySQL), and basics of AI /ML.Hands-on experience with real-world data projects and capstone-style applicati ons.Prior teaching or mentoring experience, preferably with high-school or early-college stude nts.Strong communication, empathy, and ability to break down complex concepts into easy-to-understand less ons.Bachelor's degree (or in final year) in Data Science, Computer Science, Engineering, or related fie lds. Nice-to- Have:Familiarity with cloud-based platforms, Jupyter notebooks, or tools like Streamlit, Pl otly.Experience in EdTech or school-based academic instruc tion.Portfolio of educational content, YouTube tutorials, or teaching sam ples. Weekly Commi tment:~6–8 hours per weekend (including class delivery, prep, and student interac tion).Approx. 192 hours annually + project mento rship. Compen sation:Competitive pay (hourly/monthly based on exper ience).

Job Title: Full-Time Trainer – Data Science & Data Analytics Location: Pune - Wakad, Shivajinagar Experience: 3+ years (in industry and/or training) Job Type: Full-Time Salary: Competitive, based on experience About Us: Ethans Tech is a leading IT training institute dedicated to empowering learners through industry-aligned education. As an ISO 9001:2015 certified member of NASSCOM and a partner of E&ICT Academy, IIT Guwahati, we train over 5000+ students annually in emerging technologies including Data Science, AI, Cloud, and DevOps. Job Summary: We are seeking a passionate and knowledgeable Data Science & Analytics Trainer who can deliver high-quality, hands-on training to students and working professionals. The ideal candidate will possess a strong technical background, real-world project experience, and a genuine enthusiasm for teaching and mentoring. Key Responsibilities: Conduct engaging, interactive classroom and/or online training sessions on: Python for Data Science Statistics & Probability Data Wrangling & Visualization (Pandas, Matplotlib, Seaborn, Power BI) Machine Learning (Scikit-learn, supervised & unsupervised learning) SQL and databases Excel for Analytics Exploratory Data Analysis (EDA) Data storytelling and business insights Guide learners through hands-on projects, assignments, and case studies. Evaluate and provide feedback on assignments and project submissions. Stay up-to-date with the latest industry trends and tools. Customize training materials and session plans as per audience background (freshers, working professionals, etc.). Mentor students for career readiness – interviews, portfolio building, and real-world application. Collaborate with curriculum designers and academic teams for content updates. Required Skills & Qualifications: Bachelor’s/Master’s in Computer Science, Statistics, Engineering, or a related field. 3+ years of experience in Data Science/Data Analytics domain. Prior teaching or mentoring experience is a plus . Strong command of Python, SQL, Excel, and tools like Power BI or Tableau. Familiarity with machine learning algorithms and libraries (Pandas, NumPy, Scikit-learn). Excellent communication and presentation skills. Ability to explain complex concepts in simple terms. Good to Have: Familiarity with tools like Jupyter, Anaconda, GitHub. Certifications in Data Science / Analytics (Microsoft, IBM, Coursera, etc.). Exposure to Big Data tools (Hadoop/Spark) or NLP is a plus. Perks and Benefits: Opportunity to work with one of the top-rated IT training institutes in India. Exposure to live projects and industry collaborations. Certifications and upskilling support. Competitive salary with performance incentives. Career growth in academic leadership or content development.

Job Title: AI Engineer Experience: Minimum 2 years CTC: 3 LPA - 6 LPA Location: Hinjewadi, Pune Work Mode: Work from Office Availability: Immediate Joiner About Us: Rasta.AI, a product of AI Unika Technologies (P) Ltd, is a pioneering technology company based in Pune. We specialize in road infrastructure monitoring and maintenance using cutting-edge AI, computer vision, and 360-degree imaging. Our platform delivers real-time insights into road conditions to improve safety, efficiency, and sustainability. We collaborate with government agencies, private enterprises, and citizens to enhance road management through innovative tools and solutions. Role Description: This is a full-time, on-site role. As an AI Engineer, you will be responsible for developing innovative AI models and software solutions to address real-world challenges. You will collaborate with cross-functional teams to identify business opportunities and provide customized solutions. You will also work alongside talented engineers, designers, and data scientists to implement and maintain these models and solutions. Technical Skills Required: Programming Languages: Python (and other AI-supported languages) Generative AI: LLMs (e.g., GPT, LLaMA), LangChain, Hugging Face Transformers, OpenAI API Databases: SQL, MongoDB Vector Databases: FAISS, Pinecone, Weaviate, ChromaDB Python Libraries: NumPy, Pandas, Scikit-learn, Streamlit Deep Neural Networks: CNN, RNN, and LLM Data Analysis Libraries: TensorFlow, Pandas, NumPy, Scikit-learn, Matplotlib, Tensor Board Frameworks: Flask, Django Operating Systems: Ubuntu, Windows Tools: Jupyter Notebook, PyCharm IDE, Excel, Roboflow Big Data (Bonus): Hadoop (Hive, Sqoop, Flume), Kafka, Spark Code Repository Tools: Git, GitHub DevOps-AWS: Docker, Kubernetes, Instance hosting and management Analytical Skills Exploratory Data Analysis Predictive Modeling Text Mining Natural Language Processing Machine Learning Image Processing Object Detection Instance Segmentation Deep Learning DevOps AWS Knowledge Expertise Proficiency in TensorFlow library with RNN and CNN Familiarity with pre-trained models like VGG-16, ResNet-50, and Mobile Net Knowledge of Spark Core, Spark SQL, Spark Streaming, Cassandra, and Kafka Designing and Architecting Hadoop Applications Experience with chat-bot platforms (a bonus) Responsibilities The entire lifecycle of model development Data Collection and Preprocessing Model Development Model Training Model Testing Model Validation Deployment and Maintenance Collaboration and Communication Qualifications Bachelor's or Master's degree in a relevant field (AI, Data Science, Computer Science, etc.) Minimum 2 years of experience developing and deploying AI-based software products Strong programming skills in Python (and potentially C++ or Java) Experience with machine learning libraries (TensorFlow, PyTorch, Kera's, scikit-learn) Experience with Generative AI (e.g., LLMs, prompt engineering, RAG pipelines using tools like LangChain or Hugging Face) Experience with Vector Databases (e.g., FAISS, Pinecone, Weaviate) for semantic search and retrieval-augmented generation Experience with computer vision, natural language processing, or recommendation systems Experience with cloud computing platforms (Google Cloud, AWS) Problem-solving skills Excellent communication and presentation skills Experience with data infrastructure and tools (SQL, NoSQL, and big data platforms) Teamwork skills Join Us! If you are passionate about AI and want to contribute to groundbreaking projects in a dynamic startup environment, we encourage you to apply! Be part of our mission to drive technological advancement in India. Drop Your CV - hr@aiunika.com

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. Salary - 30K CTC TO 35K CTC 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. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in

Matillion is The Data Productivity Cloud. We are on a mission to power the data productivity of our customers and the world, by helping teams get data business ready, faster. Our technology allows customers to load, transform, sync and orchestrate their data. We are looking for passionate, high-integrity individuals to help us scale up our growing business. Together, we can make a dent in the universe bigger than ourselves. With offices in the UK, US and Spain, we are now thrilled to announce the opening of our new office in Hyderabad, India. This marks an exciting milestone in our global expansion, and we are now looking for talented professionals to join us as part of our founding team. Matillion is a fast paced hyper-scale software development company. You will be based in India but working with colleagues globally specifically across the US, the UK and in Hyderabad. The Enterprise data team is responsible for producing Matillion's reporting metrics and KPIs. We work closely with Finance colleagues, the product team and Go To Market to interpret the data that we have and provide actionable insight across the business. The purpose of this role is to: Increase the value of strategic information from the data warehouse, Salesforce, Thoughtspot, and DPC HubDevelop models to help us understand customer behaviour specifically onboarding, product usage and churnUse our rich data assets to streamline operational processes What will you be doing? Run structured experiments to evaluate and improve LLM performance across generative and task-oriented functions. Improving our AI evaluation frameworks Investigating ways generative AI can be used to improve data quality Some more traditional data science predictive models to forecast customer consumption, churn and/or anomaly detection for failing data pipelines Keeping current on the latest research and proposing proof of concept projects to explore how it can assist us Educating other team members to raise the team’s understating of theoretical concepts and the latest developments What are we looking for? Technical/Role Specific - Core Skills MSc, PhD, or equivalent experience in ML, NLP, or a related field. Strong understanding of LLM internals: transformer architecture, tokenization, embeddings, sampling strategies. Python fluency, especially for data science and experimentation (NumPy, Pandas, Matplotlib, Jupyter). Experience with LLM tools (e.g. Hugging Face, LangChain, OpenAI API). Familiarity with prompt engineering and structured evaluation of generative outputs. Technical/Role Specific - Preferrable Skills Any experience of reinforcement learning techniques, even if on a small scale Experience of model evaluation fine tuning, model distillation, instruction tuning or transfer learning agentic systems (tool use / agentic frameworks) implementing guardrails RAG architecture design and vector search Understanding of Model failure modes, fallback strategies, and error recovery LLM performance optimization tradeoffs (latency, cost, accuracy) Uncertainty estimation and confidence scoring in generative systems Privacy and compliance considerations in AI for SaaS Personal Capabilities Enthusiasm to learn Able to coach and mentor those around you to increase their knowledge Comfort working across teams Ability to translate requirements between data scientists (research focus) and software engineers (product focus) Clear communication of challenges, timelines, and possible solutions to stakeholders Adaptability to rapid changes in a dynamic tech startup environment Enthusiasm for learning new AI/ML Ops tools, libraries, and techniques Proactive at diagnosing problems to understand a true root cause Willingness to experiment and to look for ways to optimise existing systems Willingness to pivot quickly in a rapidly evolving generative AI landscape Matillion has fostered a culture that is collaborative, fast-paced, ambitious, and transparent, and an environment where people genuinely care about their colleagues and communities. Our 6 core values guide how we work together and with our customers and partners. We operate a truly flexible and hybrid working culture that promotes work-life balance, and are proud to be able to offer the following benefits: Company Equity 27 days paid time off 12 days of Company Holiday 5 days paid volunteering leave Group Mediclaim (GMC) Enhanced parental leave policies MacBook Pro Access to various tools to aid your career development More about Matillion Thousands of enterprises including Cisco, DocuSign, Slack, and TUI trust Matillion technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI. With over $300M raised from top Silicon Valley investors, we are on a mission to power the data productivity of our customers and the world. We are passionate about doing things in a smart, considerate way. We’re honoured to be named a great place to work for several years running by multiple industry research firms. We are dual headquartered in Manchester, UK and Denver, Colorado. We are keen to hear from prospective Matillioners, so even if you don’t feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you are interested in Matillion but don't see a suitable role, please email talent@matillion.com. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.

Requirements: Experience: 5 to 10 Years Strong Knowledge of reporting packages Business objects Advanced Excel with hands-on experience in VBA/macros. Proficiency in Power BI, Power Automate, and Power Apps. Strong SQL scripting and experience in working with relational databases. Experience in data modeling, cleansing, and performance tuning for large datasets. Python for data analysis and automation (e.g., pandas, matplotlib, openpyxl) Exposure to Microsoft Azure (Data Factory, Synapse, or Logic Apps) is highly desirable. -Not Mandatory Qualification: Bachelor’s degree in computer science, Engineering, or a related field Job Category: Software Engineer Job Location: Hyderabad Job Country: India