- 6+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning The Amazon Photos team is looking for a world-class Sr. Applied Scientist to join us and use AI to help customers relive their cherished memories. Our team of scientists have developed algorithms and models that power Amazon Photos features for millions of photos and videos daily. As part of the team, we expect that you will develop innovative solutions to hard problems at massive scale, and publish your findings in at peer reviewed conferences and workshops. With the recent advancements in Vision-Language models, Amazon Photos has completely re-thought the product roadmap and is looking for a Sr. Applied Scientist to deliver both the short-term roadmap working closely with Product and Engineering and make investments for the long-term. Our research themes include, but are not limited to: foundational models, contrastive learning, diffusion models, few-shot and zero-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, deep learning, and large scale image and video detection and recognition. Key job responsibilities - Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Visual-Language Model space - Design and execute experiments to evaluate the performance of different models, and iterate quickly to improve results - Create robust evaluation frameworks for assessing model performance across different domains and use cases - Think big about the Visual-Language Model space over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems within Amazon Photos - Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports - You will mentor and guide junior scientists and contribute to the overall growth and development of the team About the team Amazon Photos is the one of the main digital products offered to Prime subscribers along with Amazon Music and Amazon Video. Amazon Photos provides unlimited photo storage and 5 GB for videos to Prime members and is a top Prime benefit in multiple marketplaces. AI-driven experiences based on image and video understanding are core to customer delight for the business. These experiences are delivered in our mobile, web and desktop apps, in Fire TV, and integrated into Alexa devices such as Echo Show. We solve real-world problems using AI while being a positive force for good. PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Excellent technical publications and material contributions to the CV/ML/AI field as related to image and video processing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Location: Work From Home/ Hybrid (Gurugram) Timings: 9 AM – 6 PM (some flexibility expected in case of calls with US clients) About the firm: Lambda Supply Chain Solutions is a pioneer in software solutions to improve supply chain operations leveraging Artificial Intelligence and Machine Learning. Our platform, OPTIFLOW ®, has been used for leading E-commerce companies in the US to build digital supply chain twins and optimize their supply distribution network, reduce costs, and improve service to customers. Our aspirations are global, and we are looking for bright and talented candidates who enjoy problem solving and want to learn optimization algorithms, cloud-based SaaS development and cloud computing to solve world’s most challenging supply chain design problems. To learn more, visit our website www.lambdascs.com About the role: This role is with our engineering practice. The candidate should be able to build and deploy front end and backend code for the supply chain solutions we are developing. The candidate will be interacting on a regular basis with the consulting team and clients to incorporate new features or change existing features as the software platform evolves. In addition, he/she will also be expected to trouble shoot and debug network models on live client facing engagements i.e. provide customer service to internal or external customers. Job Duties: Convert user stories into front and backend code Work with consulting team to create detail out user stories and backlog Assist Engineering lead in product management Technical Requirements: Front-End: Proficient in HTML, CSS, JavaScript, with hands-on experience in React (mandatory) Back-End: Strong command of Python (mandatory), with experience in Flask, Pandas, and NumPy Cloud & DevOps: Working knowledge of Firebase and AWS (mandatory), along with experience in CI/CD pipelines, Jenkins, and GitHub Databases: Familiarity with both relational databases (MySQL) and non-relational databases Basic Qualifications Min. 2-3 years of experience in software development BTech / BE in computer science from a reputed college is preferred Exceptional problem-solving skills – an analytical, innovative, and creative mindset Knowledge about combinatorial optimization algorithms, linear programming will be a plus Ability to be self-directed and be an independent contributor to the team Show more Show less

Requisition ID: 7160 Location: Thane, MH, IN, 400604 Business Unit / Group Function: Information Technology Work Arrangement: Onsite Level of Experience: Executive Contract Type: Regular If the chemistry is right, we can make a difference at LANXESS: speed up sports, make beverages last longer, add more color to leisure time and much more. As a leading specialty chemicals group, we develop and produce chemical intermediates, additives, specialty chemicals and high-tech plastics. With more than 13,000 employees. Be part of it! Job Highlights 'Development & Application Maintenance Design, develop, and maintain scalable applications using Java and JavaScript frameworks. Participate in both frontend and backend development, ensuring seamless integration and user experience. 'Development & Application Maintenance Design, develop, and maintain scalable applications using Java and JavaScript frameworks. Participate in both frontend and backend development, ensuring seamless integration and user experience. Python: Hands-on experience in developing automation scripts, backend services, and data processing pipelines using Python. Familiar with libraries like Pandas, NumPy, and Flask, and adept at writing clean, modular, and testable code for a variety of use cases including web development and data-driven applications. SAP ABAP Development & Customization Develop and maintain custom SAP solutions using ABAP. Work closely with functional teams to design technical solutions based on business requirements in SAP modules. Requirements Bachelor of Engineering / Bachelor of Science 1 to 3 years Java, JavaScript, C, C++ Python ABAP What We Offer You Compensation: We offer competitive compensation packages, inclusive of a global bonus program and an individual performance bonus program. Comprehensive Benefits: We provide a mixture of various benefits to support your financial security, health and wellbeing including retirement plans, health programs, life insurance and medical care. Work-Life & Flexibility: We support you in maintaining a balance between working hours and personal life. With our global “Xwork” program, we offer flexible working arrangements in all countries in which we operate. Training & Development: We are committed to your professional and personal development and encourage you in the ongoing pursuit of education, training and knowledge through both formal and informal learning. Diversity: For us, talent matters, we welcome everyone who commits to our values. We strongly believe that including diverse perspectives makes us more innovative and enhances our competitiveness. Therefore, we embrace the uniqueness of every single individual and are truly committed to supporting our people in developing their individual potential. Join the LANXESS team! Show more Show less

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

Job Summary The Associate Data Scientist will be responsible for developing and implementing machine learning models using computer vision and PyTorch. This individual will work closely with a team of data scientists and engineers to support the development of innovative solutions in a fast-paced, collaborative environment. Key Responsibilities Develop and implement machine learning models using computer vision and PyTorch Collaborate with a team of data scientists and engineers to support the development of innovative solutions Conduct data analysis and feature engineering to support the development of machine learning models Use computer vision techniques to extract and analyze data from images and videos Support the deployment and maintenance of machine learning models in a production environment Contribute to the continuous improvement of machine learning processes and practices Key Skills Python Pytorch, Pandas, Numpy, CV2 Experience working on Computer Vision projects Experience with Cloud is a plus (ref:hirist.tech) Show more Show less

DataScientist with NLP AI ML and testing: Experience: 4-8 years Location: Chennai/bangalore Senior Engineer Key Responsibilities Develop, test, and maintain Python-based applications for AI/ML and NLP usecases Design, build, and train models using ML/NLP techniques and GenAI frameworks Implement unit, integration, and functional tests for model pipelines and services Fine-tune large language models (LLMs) or integrate pre-trained APIs (e.g., OpenAI, Hugging Face) Collaborate with data scientists and MLOps teams to deploy models in production Write reusable, testable, and efficient code with proper documentation Design data pipelines and preprocessing functions for unstructured textual data Participate in code reviews and follow CI/CD best practices Perform exploratory data analysis (EDA) and model validation _______________________________ _________ Must-Have Technical SkillsCategory Languages - Python (Advanced), Shell scripting (Basic) Testing - PyTest, unittest, integration testing, test coverage tools (e.g., coverage.py), mocking (pytest-mock) GenAI Platforms - OpenAI API, LangChain, Hugging Face Transformers, LlamaIndex ML Frameworks - scikit-learn, TensorFlow, PyTorch, XGBoost NLP Libraries - spaCy, NLTK, Hugging Face, Gensim, fastText Data Manipulation - Pandas, NumPy, Dask Visualization - Matplotlib, Seaborn, Plotly DevOps / CI-CD - Git, Docker, Jenkins, GitHub Actions MLOps / Model Serving - MLflow, FastAPI, Streamlit, Flask, ONNX, TorchServe Cloud Platforms - AWS (S3, SageMaker, Lambda), Azure ML, GCP (Vertex AI) Databases - PostgreSQL, MongoDB, Redis, SQLite _______________________________ _________ Nice-to-Have Skills Experience working with vector databases (e.g., FAISS, Pinecone, Weaviate) Prompt engineering for LLMs Experience working with vector databases (e.g., FAISS, Pinecone, Weaviate) Prompt engineering for LLMs Familiarity with LLMOps tools (e.g., LangSmith, PromptLayer, BentoML)

We are a fast-growing AI and IT consultancy based in Mohali, India, specializing in practical AI solutions for real-world business challenges. Our team combines deep technical expertise with industry knowledge to deliver custom AI and machine learning applications, leveraging the latest technologies including Large Language Models (LLMs) to transform how businesses operate. Experience: 5+ years | Type: Full-time, On-site, Monday to Saturday | Location: Mohali, Punjab Key Responsibilities Backend Development: Design and develop scalable FastAPI backends with RESTful APIs AI PoC Development: Build Proof of Concepts using computer vision and LLMs Performance Optimization: Debug and optimize backend systems and AI workflows Security & Compliance: Implement robust security measures and data protection Cross-functional Collaboration: Work with front-end developers and product managers Required Skills Python Expertise: 5+ years of backend development experience Frameworks: Strong FastAPI experience; familiarity with Flask/Django AI/ML Stack: NumPy, Pandas, Scikit-learn, PyTorch or TensorFlow Database Management: MySQL, PostgreSQL, MongoDB with ORM tools Cloud Platforms: AWS, Azure, or Google Cloud experience API Development: Building and consuming RESTful APIs AI Experience: Computer vision algorithms and LLM implementation Version Control: Git proficiency and Agile workflows Preferred Qualifications Docker and Kubernetes experience Open-source project contributions CI/CD pipeline experience Active involvement in AI/ML communities What We Offer Work on cutting-edge AI projects and transformative PoCs Access to state-of-the-art development tools (GitHub Copilot, Cursor) Competitive compensation and benefits Collaborative, innovation-focused team environment Continuous learning and career growth opportunities

Location : Mumbai Experience : 0-6months Technologies / Skills: Advanced SQL, Python and associated libraries like Pandas, Numpy etc., Pyspark , Shell scripting, Data Modelling, Big data, Hadoop, Hive, ETL pipelines. Responsibilities Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and develop data engineering strategy. Ability to work with business owners to define key business requirements and convert to user stories with required technical specifications. Communicate results and business impacts of insight initiatives to key stakeholders to collaboratively solve business problems. Working closely with the overall Enterprise Data & Analytics Architect and Engineering practice leads to ensure adherence with the best practices and design principles. Assures quality, security and compliance requirements are met for supported area. Design and create fault-tolerance data pipelines running on cluster Excellent communication skills with the ability to influence client business and IT teams Should have design data engineering solutions end to end. Ability to come up with scalable and modular solutions Required Qualification 0-6months of hands-on experience Designing and developing Data Pipelines for Data Ingestion or Transformation using Python (PySpark)/Spark SQL in AWS cloud Experience in design and development of data pipelines and processing of data at scale. Advanced experience in writing and optimizing efficient SQL queries with Python and Hive handling Large Data Sets in Big-Data Environments Experience in debugging, tunning and optimizing PySpark data pipelines Should have implemented concepts and have good knowledge of Pyspark data frames, joins, caching, memory management, partitioning, parallelism etc. Understanding of Spark UI, Event Timelines, DAG, Spark config parameters, in order to tune the long running data pipelines. Experience working in Agile implementations Experience with building data pipelinesin streaming and batch mode. Experience with Git and CI/CD pipelines to deploy cloud applications Good knowledge of designing Hive tables with partitioning for performance. Desired Qualification Experience in data modelling Hands on creating workflows on any Scheduling Tool like Autosys, CA Workload Automation Proficiency in using SDKsfor interacting with native AWS services Strong understanding of concepts of ETL, ELT and data modeling. Show more Show less

Job Title: Associate Data Scientist Location: Mumbai Job Type: Full-time Experience: 0-6months About The Role We are seeking a highly motivated Associate Data Scientist with a strong passion for energy, technology, and data-driven decision-making. In this role, you will be responsible for developing and refining energy load forecasting models , analyzing customer demand patterns , and improving forecasting accuracy using advanced time series analysis and machine learning techniques . Your insights will directly support risk management, operational planning, and strategic decision-making across the company. If you thrive in a fast-paced, dynamic environment and enjoy solving complex data science challenges , we’d love to hear from you! Key Responsibilities Develop and enhance energy load forecasting models using time series forecasting, statistical modeling, and machine learning techniques. Analyze historical and real-time energy consumption data to identify trends and improve forecasting accuracy. Investigate discrepancies between forecasted and actual energy usage, providing actionable insights. Automate data pipelines and forecasting workflows to streamline processes across departments. Monitor day-over-day forecast variations and communicate key insights to stakeholders. Work closely with internal teams and external vendors to refine forecasting methodologies. Perform scenario analysis to assess seasonal patterns, anomalies, and market trends. Continuously optimize forecasting models, leveraging techniques like ARIMA, Prophet, LSTMs, and regression-based models. Qualifications & Skills 0-6months of experience in data science, preferably in energy load forecasting, demand prediction, or a related field. Strong expertise in time series analysis, forecasting algorithms, and statistical modeling. Proficiency in Python, with experience using libraries such as pandas, NumPy, scikit-learn, statsmodels, and TensorFlow/PyTorch. Experience working with SQL and handling large datasets. Hands-on experience with forecasting models like ARIMA, SARIMA, Prophet, LSTMs, XGBoost, and random forests. Familiarity with feature engineering, anomaly detection, and seasonality analysis. Strong analytical and problem-solving skills with a data-driven mindset. Excellent communication skills, with the ability to translate technical findings into business insights. Ability to work independently and collaboratively in a fast-paced, dynamic environment. Strong attention to detail, time management, and organizational skills. Preferred Qualifications (Nice To Have) Experience working with energy market data, smart meter analytics, or grid forecasting. Knowledge of cloud platforms (AWS) for deploying forecasting models. Experience with big data technologies such as Spark or Hadoop. Show more Show less

Senior Data Scientist India - Pune At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. The ideal candidate should have a minimum 4s of years of experience in data science, with hands-on experience in developing and implementing Generative AI solutions. The Senior Data Scientist will be responsible for developing Machine Learning models and collaborating with cross-functional teams to solve complex business problems How will you make an impact? Develop and execute advanced analytics projects from end to end, including data collection, preprocessing, model development, evaluation, and deployment. Develop predictive models and machine learning algorithms to extract actionable insights from large and complex datasets. Utilize statistical techniques and quantitative analysis to identify trends, patterns, and correlations within the data. Collaborate with stakeholders to understand business requirements and translate them into analytical solutions that drive value and impact. Stay abreast of the latest advancements in Data Science, Machine Learning, Generative AI and recommend innovative approaches to solve business challenges Have you got what it takes? Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; advanced degree (Master's or Ph.D.) preferred. Minimum of 4 years of hands-on experience in data science and machine learning , with at least 6 months of experience in Generative AI development. Proficiency in programming languages such as Python or R, as well as experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn, Hugging Face - Transformers, LangChain etc.). Strong understanding of machine learning techniques and algorithms, including supervised and unsupervised learning, regression, classification, clustering, and deep learning. Strong understanding of LLMs, NLP techniques, and evaluation methods for generative outputs. Solid foundation in prompt engineering for optimizing AI-generated outputs across different tasks and domains. Excellent problem-solving skills and ability to work independently as well as collaboratively in a fast-paced environment. Strong communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to diverse audiences. Proven leadership abilities, with experience in mentoring junior team members and leading cross-functional projects. Publications or contributions to the data science community, such as conference presentations, research papers, or open-source projects. Preferred Qualifications: Experience working in industries such as finance, banking. Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and related services for building and deploying machine learning models. Knowledge of data visualization tools (e.g., Tableau, Power BI) for creating interactive dashboards and reports. Publications or contributions to the data science community, such as conference presentations, research papers, or open-source projects. Hands-on experience with vector databases (e.g. Pinecone) and embedding techniques. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 7409 Reporting into: Tech Manager Role Type: Individual Contributor

Basic qualification: Bachelors degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 0-1 year of experience in ML/AI (internship, academic project, or freelance experience acceptable). Exposure to cloud services (AWS, Azure, or GCP). Familiarity with ML experiment tracking (e.g., MLflow, Weights & Biases). Basic knowledge of model deployment frameworks (Flask, FastAPI, Streamlit). Experience with Git/GitHub and Agile tools (e.g., Jira, Trello). Technical Skills: Proficiency in Python and key libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch). Basic understanding of machine learning concepts (e.g., classification, regression, neural networks). Exposure to generative AI models such as GPT, GANs, VAEs, or diffusion models. Familiarity with tools such as Hugging Face Transformers, OpenAI APIs, or LangChain. Experience with data formats like CSV, JSON, and basic SQL knowledge. Understanding of REST APIs and basic model integration. Soft Skills: Strong communication and collaboration abilities. Eagerness to learn and work in a fast-paced environment. Strong problem-solving and analytical thinking. Attention to detail and documentation practices. Roles and Responsibilities: Assist in designing, developing, and deploying machine learning models for structured and unstructured data. Fine-tune and evaluate generative AI models such as GPT, Gemini, LLAMA, etc. Perform data collection, cleaning, transformation, and feature engineering. Contribute to prompt engineering, embeddings, and optimization of generative pipelines. Support the integration of AI models into production systems or APIs. Write clean, testable, and efficient Python code using ML/AI libraries. Track and evaluate model performance using appropriate metrics and tools. Collaborate closely with cross-functional teams (engineering, data, product). Document workflows, model experiments, and pipeline processes. Stay current with the latest trends and research in machine learning and generative AI.

Roles and responsibilities - Design, develop, and maintain scalable Python applications and APIs using Flask and FastAPI Work with PySpark and Kafka for real-time data processing Perform data manipulation and analysis using Pandas and NumPy Develop and maintain modular, reusable, and testable code following OOP principles Collaborate with data scientists to integrate ML models (TensorFlow, PyTorch, Scikit-learn) into production Participate in code reviews, design discussions, and contribute to best practices Write and maintain documentation for developed modules and workflows Preferred Candidate - Strong proficiency in Python programming Hands-on experience with Flask and/or FastAPI Experience working with PySpark and Kafka Solid understanding of Pandas, NumPy, and data handling in Python Familiarity with TensorFlow, PyTorch, and scikit-learn Good grasp of Object-Oriented Programming (OOP) concepts Ability to write modular and maintainable code

Key Responsibilities: Lead the end-to-end design, architecture, and delivery of complex AI/ML solutions, including scalable data pipelines, advanced model development, training, deployment, and post-deployment support. Strategically develop and implement machine learning models across diverse domains such as natural language processing (NLP), computer vision, recommendation systems, classification, and regression. Drive innovation by integrating and fine-tuning Large Language Models (LLMs) like GPT, BERT, LLaMA, and similar state-of-the-art transformer architectures into enterprise-grade applications. Own the selection and implementation of appropriate ML frameworks, tools, and cloud technologies aligned with business goals and technical requirements. Spearhead AI/ML experimentation, Proof-of-Concepts (PoCs), benchmarking, and model optimization initiatives. Collaborate cross-functionally with data engineering, software development, and product teams to seamlessly integrate ML capabilities into production systems. Establish and enforce robust MLOps pipelines covering CI/CD for ML, model versioning, reproducibility, and monitoring to ensure reliability at scale. Stay at the forefront of AI advancements, particularly in generative AI and LLM ecosystems, and champion their adoption across business use cases. Required Qualifications: Bachelors or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. Hands on experience in the AI/ML domain, with a proven track record of delivering production-grade ML systems. Expertise in machine learning algorithms, deep learning architectures, and advanced neural network design. Demonstrated hands-on experience with LLMs, transformer-based models, prompt engineering, and embeddings. Proficiency with ML frameworks and libraries such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, etc. Strong programming skills in Python and familiarity with cloud platforms (AWS, Azure, or GCP) for scalable ML workloads. Solid experience with MLOps tools and practices — including MLflow, Kubeflow, SageMaker, or equivalent. Excellent leadership, analytical thinking, and communication skills. Preferred Qualifications: Experience with vector databases . Exposure to real-time AI systems, edge AI, and streaming data environments. Active contributions to open-source projects, research publications, or thought leadership in AI/ML. Certification in AI/ML is big plus. Interested candidates can apply directly or share their resume at shubhra_bhugra@softprodigy.com

Responsibilities: Classroom Training Delivery (Mandatory): Conduct dynamic and interactive full-time, offline classroom training sessions for Full Stack Python. Explain complex Python concepts, web development principles, and framework functionalities in a clear, concise, and easy-to-understand manner. Facilitate hands-on coding exercises, practical labs, and real-world project implementations during sessions. Ensure a highly engaging and supportive learning environment for all students. Core and Advanced Python Expertise: Deliver in-depth training on Python fundamentals, including data types, control flow, functions, modules, and object-oriented programming (OOPs) concepts. Cover advanced Python topics such as decorators, generators, iterators, context managers, multi-threading, and error handling. Teach relevant Python libraries like NumPy and Pandas for data manipulation (if part of the curriculum). Django Framework Mastery: Provide comprehensive training on the Django web framework, covering: Django project setup and architecture. Models, Views, Templates (MVT) design pattern. Django ORM and database interactions (e.g., with MySQL, PostgreSQL). Form handling, validation, and user authentication. Working with Django REST Framework for API development. Deployment strategies for Django applications. Full Stack Integration: Integrate front-end technologies (HTML, CSS, JavaScript, Bootstrap) within the Full Stack Python curriculum, demonstrating how they interact with the Django backend. Guide students through the process of building complete, end-to-end web applications. Mentoring & Doubt Clarification: Provide one-on-one and group mentoring to students, addressing their doubts and technical challenges effectively. Assess student progress, provide constructive feedback, and guide them in completing assignments and projects. Curriculum Adherence & Enhancement: Adhere strictly to Naresh IT's Full Stack Python curriculum while bringing real-world insights and best practices into the training.

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Implement Web applications in Python/Django Understanding project requirement & converting into technical requirements Independently do the coding/development of complex modules Independent contributor, high quality software within the timelines Ensure high quality releases through appropriate QC and QA activities Participate in technical discussions / reviews Works collaboratively and professionally with other associates in cross functional teams to achieve goals Qualifications 1.5-3 years relevant experience in developing applications for financial services clients 1-3 years of experience implementing web application in Python/ Django Knowledge of SciPy/NumPy/Pandas libraries in Python to develop quant models Good understanding of SDLC phases of application development Must be able to design and develop web applications using Open source technology (Python) Should have good understanding and exposure to unit testing. Show more Show less

Job Title: Data Analyst Location: Bangalore Experience: 6+ years Role Overview: We are seeking a skilled Data Analyst to support our platform powering operational intelligence across airports and similar sectors. The ideal candidate will have experience working with time-series datasets and operational information to uncover trends, anomalies, and actionable insights. This role will work closely with data engineers, ML teams, and domain experts to turn raw data into meaningful intelligence for business and operations stakeholders. Key Responsibilities • Analyze time-series and sensor data from various sources • Develop and maintain dashboards, reports, and visualizations to communicate key metrics and trends. • Correlate data from multiple systems (vision, weather, flight schedules, etc) to provide holistic insights. • Collaborate with AI/ML teams to support model validation and interpret AI-driven alerts (e.g., anomalies, intrusion detection). • Prepare and clean datasets for analysis and modeling; ensure data quality and consistency. • Work with stakeholders to understand reporting needs and deliver businessoriented outputs. Qualifications & Required Skills • Bachelors or Masters degree in Data Science, Statistics, Computer Science, Engineering, or a related field. • 5+ years of experience in a data analyst role, ideally in a technical/industrial domain. • Strong SQL skills and proficiency with BI/reporting tools (e.g., Power BI, Tableau, Grafana). • Hands-on experience analyzing structured and semi-structured data (JSON, CSV, time-series). • Proficiency in Python or R for data manipulation and exploratory analysis. • Understanding of time-series databases or streaming data (e.g., InfluxDB, Kafka, Kinesis). • Solid grasp of statistical analysis and anomaly detection methods. • Experience working with data from industrial systems or large-scale physical infrastructure. Good-to-Have Skills • Domain experience in airports, smart infrastructure, transportation, or logistics. • Familiarity with data platforms (Snowflake, BigQuery, Custom-built using opensource). • Exposure to tools like Airflow, Jupyter Notebooks and data quality frameworks. • Basic understanding of AI/ML workflows and data preparation requirements.

Location: Bangalore/ Chennai (Client Location- 7 months) Position overview: We are seeking a Data Scientist with a strong background in Machine Learning, Natural Language Processing (NLP), Generative AI, and Retrieval-Augmented Generation (RAG). The ideal candidate will possess 1+ years of hands-on experience in developing and deploying advanced data-driven solutions. You will play a key role in our AI-CoE team, contributing to cutting-edge projects that drive innovation and business value. A special focus area for this role would be to build AI enabled products that would result in the creation of monetizable product differentiators for the client's products and services. Detailed job description & Key Responsibilities : Develop, Test, and Deploy machine learning models for various business and Telco use cases. Perform data preprocessing, feature engineering and ML/DL model evaluation. Optimize and fine-tune models for performance and scalability. Good understanding of NLP concepts and projects involving entity recognition, text classification, and language modelling like GPT/Llama/Claude/Grok Build and refine RAG models to improve information retrieval and answer generation systems. Integrate RAG methods into existing applications to enhance data accessibility and user experience. Work closely with cross-functional teams including software engineers, product managers, and domain experts. Communicate technical concepts to non-technical stakeholders effectively. Document processes, methodologies, and model development for internal and external stakeholders. Skills: Strong knowledge of probability and statistics. Working knowledge of machine learning and deep learning skills. Strong knowledge of programming knowledge – Python, SQL and commonly used frameworks & tools – PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode. Excellent problem-solving skills and a proactive attitude. Strong communication and teamwork abilities. Ability to manage multiple projects and meet deadlines Interview will involve coding tests. Qualification and Experience Master’s degree or Ph.D in Data Science, Computer Science, Statistics, Mathematics, or a related field from a reputed institute. Candidates with 1+ years of work experience preferred. Looking for someone who can join within 30 days max. Show more Show less

Description The Position We are seeking a seasoned engineer with a passion for changing the way millions of people save energy. You’ll work within the Engineering team to build and improve our platforms to deliver flexible and creative solutions to our utility partners and end users and help us achieve our ambitious goals for our business and the planet. We are seeking a skilled and passionate Software Engineer II with expertise in Python to join our development team. As a SE II Python Developer, you will be a crucial member of our development team, responsible for leading and driving the development of complex, scalable, and high-performance Python-based applications. One of your main focus will be on developing and supporting efficient, reusable and highly scalable APIs & components to deliver a compelling experience to users across platforms. You will collaborate with cross-functional teams, mentor junior developers, and coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product is important. You will take part in the planning and strategy to come up with the solutions with full ownership. You will own the development and its quality independently and be responsible for high quality deliverables. And you will work with a great team with excellent benefits. Responsibilities & Skills You should: Design, develop, and maintain high-quality software applications using Python and the Django framework. Collaborate with cross-functional teams to define, design, and ship new features and enhancements. Integrate third-party APIs (REST, SOAP, streaming services) into the existing product. Optimize application performance and ensure scalability and reliability. Write clean, maintainable, and efficient code, following best practices and coding standards. Participate in code reviews and provide constructive feedback to peers. Troubleshoot and debug applications, identifying root causes of issues. Stay current with industry trends, technologies, and best practices in software development. Required Skills (Python) Bachelor’s or Master’s degree in Computer Science or related field from IIT, NIT, or any other reputed institute. 3-5 years of experience in software development, with at least 2 years of background in Python and Django. Experience integrating third-party APIs (REST, SOAP, streaming services) into applications. Familiarity with database technologies, particularly MySQL Experience with message brokers like Kafka, Rabbitmq and Redis Experience on Version control systems such as Github Familiarity with RESTful APIs and integration of third-party APIs. Strong understanding of software development methodologies, particularly Agile. Demonstrable experience with writing unit and functional tests Excellent problem-solving skills and ability to work collaboratively in a team environment. Required The following experiences are not required, but you'll stand out from other applicants if you have any of the following, in our order of importance: Experience with cloud infrastructure like AWS/GCP or other cloud service provider experience Serverless architecture, preferably AWS Lambda Experience with PySpark, Pandas, Scipy, Numpy libraries is a plus Experience in microservices architecture Solid CI/CD experience You are a Git guru and revel in collaborative workflows You work on the command line confidently and are familiar with all the goodies that the linux toolkit can provide Knowledge of modern authorization mechanisms, such as JSON Web Token Good to have front end technologies like - ReactJS, NodeJS Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Show more Show less

Skills: 3-8 of experience with Python for data analysis and modeling. Strong understanding of machine learning fundamentals , including supervised and unsupervised techniques. Hands-on experience with ML libraries such as scikit-learn , pandas , and NumPy . Comfortable working with real-world datasets, data cleaning, and preprocessing. Curious, analytical mindset with a passion for solving research and data challenges. Ability to break down problems, explore data patterns, and assist in delivering model-driven solutions. Exposure to working with unstructured or semi-structured data (text, PDFs, etc.) is a plus. Exposure to cloud platforms (AWS, GCP, Azure). Familiarity or experience with GenAI tools such as LangChain , LangGraph , or CrewAI . Understanding or hands-on experience with LLM-based projects .

Who We Are Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips- the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world- like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of"science and engineering to make possible"the next generations of technology, join us to Make Possible® a Better Future. What We Offer Location: Bangalore,IND At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. Were committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . Youll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers."We empower our team to push the boundaries of what is possible"”while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied. Senior Software Architect About Applied Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. About PDC Applied Materials SW & AI Group leads the development of image processing systems, which are integrated in a wide range of products. These highly distributed systems capture the images from high-speed scanning systems and perform complex image processing algorithms to detect defects on memories and processors chips. Role Description As a Senior Software Architect, you will be responsible for designing and implementing complex software solutions for our organization. You will work closely with cross-functional teams, including software engineers, product managers, and business stakeholders, to understand requirements and translate them into architectural designs that meet business needs. Your primary focus will be on ensuring that the software systems are scalable, reliable, and maintainable. Key Responsibilities Architect and design software solutions that align with business goals and technical requirements. Collaborate with cross-functional teams to understand business needs and translate them into architectural designs. Develop and maintain architectural guidelines, standards, and best practices. Conduct technical reviews and provide guidance to software engineers during the development process. Identify and mitigate technical risks and issues throughout the software development lifecycle. Evaluate and recommend appropriate technologies and frameworks to meet project requirements. Lead the design and implementation of complex software components and systems. Ensure that software systems are scalable, reliable, and maintainable. Mentor and coach junior software architects and engineers. 12-15 yrs. of experience with B. Tech / MTech /Ph. d in Electronics / Computer Science Proven experience as a Software Architect or similar role with experience of 10+ yrs. in product development Strong fundamentals and hands-on experience in C++/C programming. Good Knowledge of python programming and libraries (Ex; NumPy, OpenCV, pandas etc.) Practical Experience with GPU/CPU Optimization techniques like Overclocking/Memory Optimization/Load. Balancing/Hyperthreading/Simultaneous multithreading (SMT). Excellent problem-solving skills and ability to work independently and as part of a team. Advantage Knowledge on Semiconductor domain. Knowledge of digital signal processing (DSP)/Deep learning is a plus. Experience with computing design and benchmarking is a plus. Experience leading small teams or projects. Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities. Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 10% of the Time Relocation Eligible: Yes Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include: Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience with Apache Spark (PySpark)In-depth knowledge of Spark’s architecture, core APIs, and PySpark for distributed data processing. Big Data TechnologiesFamiliarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modeling, and data warehousing concepts. Strong proficiency in PythonExpertise in Python programming with a focus on data processing and manipulation. Data Processing FrameworksKnowledge of data processing libraries such as Pandas, NumPy. SQL ProficiencyExperience writing optimized SQL queries for large-scale data analysis and transformation. Cloud PlatformsExperience working with cloud platforms like AWS, Azure, or GCP, including using cloud storage systems Preferred technical and professional experience Define, drive, and implement an architecture strategy and standards for end-to-end monitoring. Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering, Good to have detection and prevention tools for Company products and Platform and customer-facing

As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience with Apache Spark (PySpark)In-depth knowledge of Spark’s architecture, core APIs, and PySpark for distributed data processing. Big Data TechnologiesFamiliarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modeling, and data warehousing concepts. Strong proficiency in PythonExpertise in Python programming with a focus on data processing and manipulation. Data Processing FrameworksKnowledge of data processing libraries such as Pandas, NumPy. SQL ProficiencyExperience writing optimized SQL queries for large-scale data analysis and transformation. Cloud PlatformsExperience working with cloud platforms like AWS, Azure, or GCP, including using cloud storage systems Preferred technical and professional experience Define, drive, and implement an architecture strategy and standards for end-to-end monitoring. Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering, Good to have detection and prevention tools for Company products and Platform and customer-facing

Data Scientist - Job Description Summary To improve current or new processes, design and develop new methodologies, quantitative models, analysis, and commentary (as applicable). Maintain current independent analysis and product performance standards. Work internally with different departments to develop new concepts and expand the scope of existing products. Job Description Data handling, data processing and programming Support delivery of new or enhanced capabilities by defining requirements and/or leading projects Translate business needs into solution requirements. Write functional and non-functional specifications Propose and implement improvements to products and processes Develop automated solutions for sourcing/loading Transcripts data into database Analyze transcriptions with the help of machine learning Build extraction solutions based on different document formats Develop, improve, and run quantitative models Generate solutions through machine learning for core processes Work with business, content, and product groups for large-scale analytics problems Build POCs, visualizations and pipeline tools for product design and development Work with development groups for deployment of analytics solutions Interact with other internal teams as needed, with supervision. Maintain process documentation Testing and validation of tools and processes Knowledge & Skill: Extensive experience programming in Python to a production standard Experience in AI / ML Technology implementation Experience with formal AI/ML system evaluation including curating evaluation datasets, developing performance measures and analysing results Experience in designing, developing, and deploying advanced statistical models based on machine learning and deep learning algorithms. Proven understanding of statistical concepts Proficient in using tools and libraries such as Scikit-learn, NumPy, Pandas Proficient with anyone of the deep learning frameworks like PyTorch, TensorFlow, etc. Apply cloud technologies such as Azure and AWS for data processing and storage. Strong understanding of Robotic Process Automation . Develop skills in web scraping, working on audio and transcripts to deliver comprehensive data solutions. Strong Problem-solving proficiency and algorithmic thinking Proven understanding of relational database and SQL skills. Good understanding of REST API architecture and containers (Kubernetes or Docker). Ability to handle large quantities of data Narrate stories (to technical and mostly non-technical audience) about our content and processes by data analysis and visualization Strong written, communication and presentation skills. Able to respond and present work to peers, senior management, and other customers Qualification : Bachelors or equivalent experience in Engineering or Higher education in Statistics, Mathematics or related quantitative subject area with Data science certification Desired Skills: 3+ years of Data Science project experience is helpful LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice. Show more Show less

About Us Jar is India’s leading Daily Saving app that helps people build strong saving habits—one small step at a time. Our goal is to make saving simple, rewarding, and truly life-changing . Founded in 2021 by Misbah Ashraf and Nishchay AG , Jar is a Bengaluru-based startup with one simple belief: saving a little every day in 24K Digital Gold can truly transform your future. Today, 20 million+ Indians trust Jar as their saving partner. With flexible saving options— Daily, Weekly, Monthly, and Instant Saving —we have made it easy for everyone to save in their own way and withdraw anytime. We are one of the leaders in UPI autopay transactions, crossing more than 1 million transactions per day. In 2023, we expanded our vision with Nek , our jewelry brand crafted to bring together luxury and affordability, it has since surpassed ₹100 crore in revenue. We have a big dream of bringing “ Har Ghar Sona”. Small, consistent savings are just the start. We’re here to walk alongside our users, helping Indians secure their financial future every step of the way. Backed by Tiger Global Management, Arkam Ventures, and WEH Ventures, among others, we have raised 50 million+ in funding. In January 2025 , we hit a huge milestone of becoming profitable . Now, we’re charging ahead, focused on sustainable growth and scaling impact. And this is just the beginning! What will be your responsibilities? Data Analysis & Insights Perform deep dives on large, structured, and unstructured datasets to identify trends, irregularities, and actionable insights that drive product development and business decisions. Provide actionable insights Develop and maintain dashboards and reports for key stakeholders. Continuously monitor transactions to ensure accuracy, completeness, and integrity. Ensure data accuracy and consistency across multiple sources. Identify discrepancies, gaps, and failures in transactions and escalate for immediate resolution. Analyze historical sales data and market trends to develop accurate demand forecasts. Strategic Decision-Making Collaborate with product, engineering, and business teams to solve problems using data. Lead analysis to improve key retention and renewal metrics such as churn rate, renewal rate, transaction success rate, and GMV growth Support A/B testing and experiments to optimize product and feature performance. Analyze transaction failures, payment declines, and retry success rates to optimize the auto debit payment funnel. Data Management & Modeling Design and optimize data models that support real-time transaction monitoring, churn prediction, and cohort analysis for subscription-based customers. Partner with data engineers to ensure data accuracy, to improve data collection, completeness, and accessibility. Build and optimize reports that track business performance over time. Automate recurring reports and processes to improve efficiency. Leadership & Mentorship Guide and mentor junior analysts in best practices, technical skills, and storytelling through data. Lead projects end-to-end, ensuring clarity, timeliness, and high-quality outcomes. Metrics & Reporting & Ownerships Own reporting of subscription transactions, payment success rates, churn trends, and GMV impact, ensuring timely insights to Business & Product teams. Automate and optimize reporting to provide timely insights to leadership. Supporting other teams in setting up success metrics for particular products/features What’s required from you? Technical Skills Strong proficiency in Python & MongoDb for data analysis, including Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn, Dask, Stats models, Re(regular expressions for text cleaning), textblob (sentiment analysis & text processing) & Automations. Object oriented programming is a plus. SQL: Expertise in writing complex SQL (postgres) queries for data extraction, transformation, and reporting. Process, clean, and wrangle large datasets using Python to ensure data quality and readiness for analysis. Strong understanding of Excel/Google Sheets for quick ad-hoc analysis. Experience working with large, structured/unstructured datasets. Able to develop KPIs related to retention, acquisition, A/B experiments. Visualization Tools: Data Exploration and Visualization with tools like Amplitude, Clevertap, MS Excel, Tableau, Power BI, etc. Soft Skills High sense of ownership, accountability, and proactive problem-solving mindset. Strong problem-solving, critical thinking, and business acumen. Excellent communication skills with the ability to translate complex findings into clear insights for non-technical stakeholders. Experience 3+ years of experience in data analysis, preferably in fintech or startups. Proven experience leading high-impact projects independently. A desire to work in a fast-paced environment What makes us different? We’re not just building a product—we’re shaping the future of savings in India. We seek people who bring passion, energy, and fresh ideas to help us make that happen. Experience matters, but we are a potential first organisation. We move fast, learn from our mistakes, and take bold risks to solve problems that haven’t been attempted before. If you’re excited about working in an environment where people inspire and truly support each other, you’ve found the right fit. What do we stand for? The Five Values That We Live By Passion: At Jar, we strive to create an environment where people love what they do, are motivated and equipped to do their best work. Equality: We bring diverse skills, ideas, and experiences to the table, supporting and challenging each other across teams to create something bigger than ourselves. Growth: When our people grow, Jar grows. We create opportunities for learning, development, and meaningful impact. Accountability: The core of our work ethic is taking ownership of our work, showing initiative, and having the freedom to ask questions. Consistency: We believe in doing the right things consistently. Big change doesn’t happen overnight—it’s built one step at a time. Join us and let’s build something amazing together! What employee benefits do we have? Glad you asked! Among other things, we have Medical Insurance for employees and their families ESOPs allocation Pluxee meal card Swish club card for exclusive employee discounts Advance salary plans Relocation assistance L&D programmes Skills: python,tableau,sql,numpy,data wrangling,data exploration,scikit-learn,power bi,mentoring,clevertap,report writing,analytical skills,nlp,pandas,mongodb,excel,matplotlib,data analysis,business sense,amplitude,ms excel,google sheets,data visualization,querying,etl,data analysis packages Show more Show less

Data Science & Analytics Trainer – Only Passionate Trainers Need to Apply Maitexa Technologies is Hiring – Calicut (Offline/Hybrid) Are you someone who finds joy in turning data into insights—and dreams of guiding others to do the same? We are looking for a Data Science and Analytics Trainer who is deeply passionate about teaching and ready to mentor students through real-world data challenges. You Should Have: Strong foundation in Python, NumPy, Pandas, Matplotlib, Scikit-Learn Expertise in Data Cleaning, Exploratory Data Analysis, Machine Learning, and Statistics Experience with Power BI / Tableau, Excel, SQL Ability to design capstone projects , case studies, and industry-aligned training Bonus: Exposure to AI concepts , ChatGPT , or Big Data tools is a plus! Location : Calicut (Offline preferred / Hybrid possible) If you're not truly passionate about training , please don't apply. Apply now and help students unlock the power of data! Job Type: Full-time Pay: ₹20,000.00 - ₹58,065.17 per month Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person