1437 Matplotlib Jobs - Page 17

What you’ll do: Analyze large and complex datasets to discover trends, patterns, and insights. Apply statistical methods and machine learning techniques to extract valuable information from data. Develop and implement machine learning algorithms and models for predictive and prescriptive analysis. Utilize deep learning techniques for complex data analysis tasks. Utilize Python programming language and libraries such as numpy and pandas to manipulate data, conduct analysis, and develop machine learning models. Identify relevant features and perform feature engineering to enhance the performance of machine learning models. Evaluate the performance of machine learning models using appropriate metrics. Fine-tune models for optimal results. Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders, to understand business requirements and provide data-driven solutions. Maintain detailed documentation of data analysis processes, algorithms, and models. Ensure that documentation is clear, concise, and accessible to relevant team members. What you’ll need: Strong in Python and experience with Jupyter notebooks, Python packages like polars, pandas, numpy, scikit-learn, matplotlib, etc. Experience with machine learning lifecycle, including data preparation, training, evaluation, and deployment Hands-on experience with GCP services for ML & data science Experience with Vector Search and Hybrid Search techniques Experience with embeddings generation using models like BERT, Sentence Transformers, or custom models Experience in embedding indexing and retrieval (e.g., Elastic, FAISS, ScaNN, Annoy) Experience with LLMs and use cases like RAG (Retrieval-Augmented Generation) Understanding of semantic vs lexical search paradigms Experience with Learning to Rank (LTR) techniques and libraries (e.g., XGBoost, LightGBM with LTR support) Should be proficient in SQL and BigQuery for analytics and feature generation Should have experience with Dataproc clusters for distributed data processing using Apache Spark or PySpark Should have experience deploying models and services using Vertex AI, Cloud Run, or Cloud Functions Should be comfortable working with BM25 ranking (via Elasticsearch or OpenSearch) and blending with vector-based approaches Familiarity with Vertex AI Matching Engine for scalable vector retrieval Familiarity with TensorFlow Hub, Hugging Face, or other model repositories Experience with prompt engineering, context windowing, and embedding optimization for LLM-based systems Should understand how to build end-to-end ML pipelines for search and ranking applications Awareness of evaluation metrics for search relevance (e.g., precision@k, recall, nDCG, MRR) Should have exposure to CI/CD pipelines and model versioning practices GCP Tools Experience: ML & AI: Vertex AI, Vertex AI Matching Engine, AutoML, AI Platform Storage: BigQuery, Cloud Storage, Firestore Ingestion: Pub/Sub, Cloud Functions, Cloud Run Search: Vector Databases (e.g., Matching Engine, Qdrant on GKE), Elasticsearch/OpenSearch Compute: Cloud Run, Cloud Functions, Vertex Pipelines, Cloud Dataproc (Spark/PySpark) CI/CD & IaC: GitLab/GitHub Actions Life at Next: At our core, we're driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We're dedicated to empowering them to shape their futures and achieve ambitious goals. To fulfil this commitment, we foster a culture defined by agility, innovation, and an unwavering commitment to progress. Our organizational framework is both streamlined and vibrant, characterized by a hands-on leadership style that prioritizes results and fosters growth. Perks of working with us: Clear objectives to ensure alignment with our mission, fostering your meaningful contribution. Abundant opportunities for engagement with customers, product managers, and leadership. You'll be guided by progressive paths while receiving insightful guidance from managers through ongoing feedforward sessions. Cultivate and leverage robust connections within diverse communities of interest. Choose your mentor to navigate your current endeavors and steer your future trajectory. Embrace continuous learning and upskilling opportunities through Nexversity. Enjoy the flexibility to explore various functions, develop new skills, and adapt to emerging technologies. Embrace a hybrid work model promoting work-life balance. Access comprehensive family health insurance coverage, prioritizing the well-being of your loved ones. Embark on accelerated career paths to actualize your professional aspirations. Who we are? We enable high growth enterprises build hyper personalized solutions to transform their vision into reality. With a keen eye for detail, we apply creativity, embrace new technology and harness the power of data and AI to co-create solutions tailored made to meet unique needs for our customers. Join our passionate team and tailor your growth with us!

About the Company: We are one of India’s premier integrated political consulting firms specializing in building data-driven 360-degree election campaigns. We help our clients with strategic advice and implementation which brings together data-backed insights and in-depth ground intelligence into a holistic electoral campaign. We are passionate about our democracy and the politics that shape the world around us. We draw on some of the sharpest minds from distinguished institutions and diverse professional backgrounds to help us achieve our goal. The team brings in 7 years of experience in building electoral strategies that spark conversations, effect change, and help shape electoral and legislative ecosystems in our country. Job Summary: We are looking for a motivated and detail-oriented Statistics Intern to join our team. This internship offers an excellent opportunity to apply academic knowledge of statistics and data analysis in a real-world setting. The intern will assist in data cleaning, statistical modeling, visualization, and research reporting across various projects. Key Responsibilities: 1.Assist in collecting, organizing, and cleaning datasets for analysis 2.Conduct basic statistical analyses (e.g., descriptive stats, cross-tabulations, hypothesis tests) 3.Support the development of charts, graphs, and summary reports 4.Help build and/or validate statistical models under supervision (e.g., regression, classification) 5.Collaborate with team members to interpret results and draw meaningful insights 6.Document methods and maintain organized records of code and findings. Required/Minimum Qualifications: 1.Currently pursuing(Masters) or recently completed a Bachelor’s degree in Statistics, Mathematics, Economics, Data Science, or a related field 2.Basic understanding of statistical concepts(Probability Statistics, Bayesian Inference, Hypothesis testing etc.)and data structures- query writing skills and data automation. 3.Familiarity with statistical software such as R,SPSS, Stata etc. 4.Working knowledge/Demonstrated ability to code using numerical/statistical/MLlibraries(NumPy, Statsmodel, Pandas etc.) Python is a must. 5.Ability to work with datasets, conduct exploratory data analysis, and interpret output 6.Strong attention to detail and problem-solving abilities 7.Good written and verbal communication skills Good to have Skills: 1.Experience with data visualization tools or packages (e.g., ggplot2, matplotlib, Tableau) 2.Knowledge of survey data, experimental design, or basic machine learning techniques such as KNN and NLM’s. 3.Ability to write clean, reproducible code (e.g., using data automation tools in Excel such as VBA or python scripts.) Location: BLR - 4th Floor, VK Kalyani Commercial Complex, Opp to BDA Sanky Road, Bangalore, 560021

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role And Responsibilities As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In Your Role, You May Be Responsible For Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. Preferred Education Master's Degree Required Technical And Professional Expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred Technical And Professional Experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

Are you passionate about turning complex data into actionable insights? We're looking for a creative and analytical Data Analyst to join our team and help shape data-driven strategies across the business. This is an exciting opportunity to work in a dynamic, collaborative environment where your models and analyses will directly influence high-impact decisions. Dassault Systèmes, the 3DEXPERIENCE Company, provides businesses and people with virtual universes to imagine sustainable innovations. Our 3DEXPERIENCE platform leverages the Company’s world-leading 3D software applications to transform the way products are designed, produced, and supported. With its online architecture, the 3DEXPERIENCE environment helps businesses to test and evaluate — anywhere in the development lifecycle of a product or service — the eventual experience they will deliver to their customers. In short, 3DEXPERIENCE powers the next-generation capabilities that drive today’s Experience Economy. Role Description & Responsibilities Analyze large, complex datasets to uncover insights, trends, and opportunities that drive strategic decisions Build and deploy predictive models using machine learning techniques (e.g., regression, classification, clustering) Perform data wrangling, preprocessing, and cleaning to prepare data for analysis and modeling Design and execute experiments (e.g., A/B testing) to evaluate hypotheses and business initiatives Communicate findings and recommendations clearly to both technical and non-technical stakeholders through reports, dashboards, and presentations Collaborate closely with data engineers, product managers, and business teams to define data requirements and deliver end-to-end solutions Stay up to date with industry trends, tools, and best practices in data science and analytics Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field 8+ years of experience in a data science or quantitative analytics role with a good understanding of machine learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience in data mining across different industry segments like Automobile, Infrastructure & Equipment, Aerospace & Defense, manufacturing, Mining etc Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, Seaborn) Excellent communication skills, with the ability to explain complex data insights in a clear and actionable way What’s In It For You Professional Growth: Opportunity to advance within the organization Learning Environment: Access to training, workshops, and skill development Collaboration: Work closely with cross-functional teams Company Culture: Work in a culture of collaboration and innovation Interested? Click on "Apply" to upload your application documents. Inclusion statement As a game-changer in sustainable technology and innovation, Dassault Systèmes is striving to build more inclusive and diverse teams across the globe. We believe that our people are our number one asset and we want all employees to feel empowered to bring their whole selves to work every day. It is our goal that our people feel a sense of pride and a passion for belonging. As a company leading change, it’s our responsibility to foster opportunities for all people to participate in a harmonized Workforce of the Future.

Company Description At Labdox , we empower learners across 90+ countries with future-ready skills in engineering, technology, entrepreneurship, and management . Our mission is to foster practical learning, innovation, and real-world impact through cutting-edge education delivered by global experts. Role Description We’re looking for a passionate AI/ML and Python Instructor who can inspire, educate, and mentor learners through engaging live sessions and real-world projects. If you can break down complex concepts into practical knowledge and guide students toward real mastery, you belong here. This is a remote, contract-based opportunity with flexible hours, ideal for working professionals, researchers, or industry experts who love to teach. Key Responsibilities Design and deliver beginner to advanced AI/ML and Python courses for students and professionals. Develop hands-on projects, quizzes, and assignments with real-world datasets and case studies . Conduct live sessions, code walkthroughs, and Q&As using collaborative tools. Keep course content up to date with the latest trends in AI, ML, and Data Science . Provide one-on-one mentorship and personalized feedback to learners. Collaborate with the curriculum and content team to continuously refine learning paths. Requirements Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field . 3+ years of hands-on experience in Python programming and core machine learning concepts. Strong command over Supervised/Unsupervised Learning , Model Evaluation , Feature Engineering , and Python Libraries (NumPy, Pandas, Scikit-learn, Matplotlib, etc.). Experience with frameworks like TensorFlow , Keras , or PyTorch is a plus. Familiarity with tools like Jupyter Notebooks , Google Colab , or VS Code . Excellent communication skills and the ability to teach concepts in a simple, engaging manner. Why Join Labdox? Teach Globally : Join a platform trusted by 25,000+ learners across 90+ countries. Work Remotely : Design your own teaching schedule and work from anywhere. Cutting-Edge Curriculum : Collaborate with our team to teach relevant, practical, industry-aligned content. Mentor & Grow : Be a changemaker in someone’s career journey. Competitive Pay : Attractive compensation with performance-based bonuses. Thought Leadership : Get featured as a subject expert, contribute to blogs, and speak at industry events.

Job Overview We are seeking a Data Scientist with a strong foundation in machine learning and a passion for the travel industry. You will work with cross-functional teams to analyze customer behavior, forecast travel demand, optimize pricing models, and deploy AI-driven solutions to improve user experience and drive business growth. Key Responsibilities Engage in all stages of the project lifecycle, including data collection, labeling, and preprocessing, to ensure high-quality datasets for model training. Utilize advanced machine learning frameworks and pipelines for efficient model development, training execution, and deployment. Implement MLFlow for tracking experiments, managing datasets, and facilitating model versioning to streamline collaboration. Oversee model deployment on cloud platforms, ensuring scalable and robust performance in real-world travel applications. Analyze large volumes of structured and unstructured travel data to identify trends, patterns, and actionable insights. Develop, test, and deploy predictive models and machine learning algorithms for fare prediction, demand forecasting, and customer segmentation. Create dashboards and reports to communicate insights effectively to stakeholders across the business. Collaborate with Engineering, Product, Marketing, and Finance teams to support strategic data initiatives. Build and maintain data pipelines for data ingestion, transformation, and modeling. Conduct statistical analysis, A/B testing, and hypothesis testing to guide product decisions. Automate processes and contribute to scalable, production-ready data science tools. Technical Skills Machine Learning Frameworks: PyTorch, TensorFlow, JAX, Keras, Keras-Core, Scikit-learn, Distributed Model Training Programming & Development: Python, Pyspark, Julia, MATLAB, Git, GitLab, Docker, MLOps, CI/CD Pipelines Cloud & Deployment: AWS SageMaker, MLFlow, Production Scaling Data Science & Analytics: Statistical Analysis, Predictive Modeling, Feature Engineering, Data Preprocessing, Pandas, NumPy, PySpark Computer Vision: CNN, RNN, OpenCV, Kornia, Object Detection, Image Processing, Video Analytics Visualization Tools: Looker,Tableau, Power BI, Matplotlib, Seaborn Databases & Querying: SQL, Snowflake, Databricks Big Data & MLOps: Spark, Hadoop, Kubernetes, Model Monitoring Nice To Have Experience with deep learning, LLMs, NLP (Transformers), or recommendation systems in travel use cases. Knowledge of GDS APIs (Amadeus, Sabre), flight search optimization, and pricing models. Strong system design (HLD/LLD) and architecture experience for production-scale ML workflows. Skills: data preprocessing,docker,feature engineering,sql,python,predictive modeling,statistical analysis,keras,data science,spark,data scientist,aws sagemaker,machine learning,mlflow,tensorflow,pytorch

We are seeking an experienced Data Scientist III to join our team. In this role, you will manage the entire data science lifecycle, including data acquisition, preparation, model development, deployment, and monitoring. You will apply advanced techniques in Python programming, machine learning (ML), deep learning (DL), and generative AI to address complex challenges and develop high-impact solutions. Your role will involve leading projects, collaborating with cross-functional teams, and driving data-driven decision-making across the organization. What your impact will look like here: Advanced Model Development: Design, develop, and implement sophisticated machine learning and deep learning models for applications such as customer churn prediction, recommendation systems, and advanced anomaly detection. Programming and Libraries: Utilize Python and its advanced libraries (e.g., TensorFlow, PyTorch, Scikit-learn) to build and optimize models. Generative AI Exploration: Leverage cutting-edge generative AI techniques to create innovative solutions for complex problems and enhance engagement strategies. Leadership and Collaboration: Lead cross-functional teams, including product managers, engineers, and data analysts, to translate business needs into effective data-driven solutions. Integration and Deployment: Oversee the integration of models into production systems, ensuring seamless deployment and performance. Pipeline Management: Develop and maintain robust data pipelines for ingestion, transformation, and model training. Performance Monitoring: Continuously monitor model performance, conduct evaluations, and implement improvements as necessary. Communication and Strategy: Communicate complex technical concepts clearly to stakeholders and contribute to strategic data science initiatives. Best Practices and Innovation: Drive the development of best practices, tools, and frameworks for data science and machine learning, staying abreast of industry advancements. You will love this job if you have: Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field. 7-9 years of experience in data science, machine learning, or a relevant domain. Proficiency in Python programming and extensive experience with relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Proven track record of delivering production-ready AI/ML solutions. Strong expertise in machine learning and deep learning algorithms and techniques. Experience with generative AI models and advanced data science techniques. Proficiency in data manipulation, analysis, and visualization using Python libraries (e.g., Pandas, NumPy, Matplotlib). Experience with cloud platforms and big data technologies (e.g., AWS). Excellent problem-solving, analytical, and leadership skills. Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences. Qualifications - Preferred Experience with advanced techniques such as graph neural networks, reinforcement learning, or similar. Familiarity with agile development methodologies and DevOps practices. Experience with containerization technologies (e.g., Docker, Kubernetes). Contributions to open-source projects or published research in machine learning, deep learning, or generative AI. Experience working with government or public sector data. Proficiency with data visualization tools (e.g., Tableau, Power BI). The Team We area globally distributed workforce across the United States, Canada, United Kingdom, India, Armenia, Australia, and New Zealand. The Culture At Granicus, we are building a transparent, inclusive, and safe space for everyone who wants to be a part of our journey. A few culture highlights include – - Employee Resource Groups to encourage diverse voices - Coffee with Mark sessions – Our employees get to interact with our CEO on very important and sometimes difficult issues ranging from mental health to work life balance and current affairs. - Embracing diversity & fostering a culture of ideation, collaboration & meritocracy - We bring in special guests from time to time to discuss issues that impact our employee population The Company Serving the People Who Serve the People Granicus is driven by the excitement of building, implementing, and maintaining technology that is transforming the Govtech industry by bringing governments and its constituents together. We are on a mission to support our customers with meeting the needs of their communities and implementing our technology in ways that are equitable and inclusive. Granicus has consistently appeared on the GovTech 100 list over the past 5 years and has been recognized as the best companies to work on BuiltIn. Over the last 25 years, we have served 5,500 federal, state, and local government agencies and more than 300 million citizen subscribers power an unmatched Subscriber Network that use our digital solutions to make the world a better place. With comprehensive cloud-based solutions for communications, government website design, meeting and agenda management software, records management, and digital services, Granicus empowers stronger relationships between government and residents across the U.S., U.K., Australia, New Zealand, and Canada. By simplifying interactions with residents, while disseminating critical information, Granicus brings governments closer to the people they serve—driving meaningful change for communities around the globe. Want to know more? See more of what we do here . The Impact We are proud to serve dynamic organizations around the globe that use our digital solutions to make the world a better place — quite literally. We have so many powerful success stories that illustrate how our solutions are impacting the world. See more of our impact here . The Process - Assessment – Take a quick assessment. - Phone screen – Speak to one of our talented recruiters to ensure this could be a fit. - Hiring Manager/Panel interview – Talk to the hiring manager so they can learn more about you and you about Granicus. Meet more members on the team! Learn more and share more. - Reference checks – Provide 2 references so we can hear about your awesomeness. - Verbal offer – Let’s talk numbers, benefits, culture and answer any questions. - Written offer – Sign a formal letter and get excited because we sure are! Benefits at Granicus India Along with the challenges of the job, Granicus offers employees an attractive benefits package which includes – - Hospitalization Insurance Policy covering employees and their family members including parents - All employees are covered under Personal Accident Insurance & Term Life Insurance policy - All employees can avail annual health check facility - Eligible for reimbursement of telephone and internet expenses - Wellness Allowance to avail health club memberships and/or access to physical fitness centres - Wellbeing Wednesdays which includes 1x global Unplug Day and 2x No Meeting Days every quarter - Memberships for ‘meditation and mindfulness ‘ apps including on-demand mental health support 24/7 - Access to learning management system Say., LinkedIn Learning Premium account membership & many more - Access to Rewards & recognition portal and quarterly recognition program Security and Privacy Requirements - Responsible for Granicus information security by appropriately preserving the Confidentiality, Integrity, and Availability (CIA) of Granicus information assets in accordance with the company's information security program. - Responsible for ensuring the data privacy of our employees and customers, their data, as well as taking all required privacy training in a timely manner, in accordance with company policies. Granicus is committed to providing equal employment opportunities. All qualified applicants and employees will be considered for employment and advancement without regard to race, color, religion, creed, national origin, ancestry, sex, gender, gender identity, gender expression, physical or mental disability, age, genetic information, sexual or affectional orientation, marital status, status regarding public assistance, familial status, military or veteran status or any other status protected by applicable law.

Job Title: Full-Stack Automation Lead cum Developer (Python and UiPath) Location: Hazira/Surat Employment Type: Full-time Number of Positions: 2 Experience Required: 4–9 years Job Summary We are seeking a highly skilled and motivated Full-Stack Automation Developer to join our dynamic team. The ideal candidate will bring strong expertise in Python and UiPath, combined with full-stack development capabilities. You will lead the design, development, and deployment of end-to-end automation solutions aimed at optimizing and transforming business processes. Key Responsibilities Design & Development: Build and deploy robust full-stack automation solutions using Python and UiPath. Process Analysis: Collaborate with stakeholders to analyze existing workflows and identify automation opportunities. Frontend Development: Create intuitive and responsive user interfaces for automation tools and dashboards using modern web technologies. Backend Development: Develop and maintain scalable backend services and APIs to support automation tasks. System Integration: Integrate automation workflows with existing systems, databases, and third-party services. Support & Maintenance: Provide ongoing support, troubleshoot issues, and ensure continuous operation of automation solutions. Documentation: Maintain detailed documentation of workflows, systems architecture, and changes. Innovation: Stay updated on emerging technologies and implement industry best practices in automation and full-stack development. Required Qualifications Education Bachelor's degree in Computer Science, Information Technology, or a related field. Experience3–7 years of proven experience in full-stack development and RPA using Python and UiPath. Track record of delivering scalable and maintainable automation solutions. Technical Skills Programming Languages: Proficiency in Python. RPA Tools: Expertise in UiPath – Orchestrator, Studio, and workflow design. Frontend: Strong in HTML, CSS, JavaScript, and modern frameworks (React, Angular, or Vue.js). Backend: Hands-on experience with Flask or Django; familiarity with SQL and NoSQL databases. Integration: Strong knowledge of REST APIs and data exchange techniques. Data & ML: Understanding of statistics, multivariate analysis, ML/DL model deployment. Visualization: Experience with tools like Power BI, matplotlib, or similar. Soft Skills Excellent problem-solving and analytical thinking. Strong verbal and written communication skills. Proactive team player with the ability to work independently. Preferred Qualifications Exposure to additional RPA tools (e.g., Power Automate). Experience with AI/ML technologies and deploying models to production. Familiarity with Agile/Scrum methodologies. Working knowledge of cloud platforms such as AWS, Azure, or GCP.

About Us Thoucentric is the Consulting arm of Xoriant, a prominent digital engineering services company with 5000 employees. We are headquartered in Bangalore with presence across multiple locations in India, US, UK, Singapore & Australia Globally. As the Consulting business of Xoriant, we help clients with Business Consulting, Program & Project Management, Digital Transformation, Product Management, Process & Technology Solutioning and Execution including Analytics & Emerging Tech areas cutting across functional areas such as Supply Chain, Finance & HR, Sales & Distribution across US, UK, Singapore and Australia. Our unique consulting framework allows us to focus on execution rather than pure advisory. We are working closely with marquee names in the global consumer & packaged goods (CPG) industry, new age tech and start-up ecosystem. Xoriant (Parent entity) started in 1990 and is a Sunnyvale, CA headquartered digital engineering firm with offices in the USA, Europe, and Asia. Xoriant is backed by ChrysCapital, a leading private equity firm. Our strengths are now combined with Xoriants capabilities in AI & Data, cloud, security and operations services proven for 30 years. We have been certified as "Great Place to Work" by AIM and have been ranked as "50 Best Firms for Data Scientists to Work For." We have an experienced consulting team of over 450 world-class business and technology consultants based across six global locations, supporting clients through their expert insights, entrepreneurial approach and focus on delivery excellence. We have also built point solutions and products through Thoucentric labs using AI/ML in the supply chain space. Job Title: Data Scientist (3-5 Years Experience) Location: Bangalore About Us: Thoucentric is a forward-thinking organization at the forefront of leveraging data-driven insights to solve complex business challenges. We are seeking a passionate and skilled Data Scientist to join our dynamic team and help us drive innovation through advanced analytics and machine learning. Key Responsibilities: Develop and implement machine learning and deep learning models for various business problems, with a strong focus on time series forecasting. Analyze large, complex datasets to extract actionable insights and identify trends, patterns, and opportunities for improvement. Design, build, and validate predictive models using state-of-the-art techniques, ensuring scalability and robustness. Collaborate with cross-functional teams (Product, Engineering, Business) to translate business requirements into data science solutions. Communicate findings and recommendations clearly to both technical and non-technical stakeholders. Stay updated with the latest research and advancements in machine learning, deep learning, and time series analysis, and proactively apply new techniques as appropriate. Mentor junior team members and contribute to a culture of continuous learning and innovation. Requirements Required Skills & Qualifications: 3-5 years of hands-on experience in data science, machine learning, and statistical modeling. Strong expertise in time series forecasting (ARIMA, XGBoost, RandomForest, TFT, NHITS, etc.) and familiarity with deep learning frameworks (TensorFlow, PyTorch). Excellent programming skills in Python (preferred), with proficiency in libraries such as NumPy, Pandas, scikit-learn, and visualization tools (Matplotlib, Seaborn, Plotly). Solid conceptual understanding of machine learning algorithms, deep learning architectures, and statistical methods. Experience with data preprocessing, feature engineering, and model evaluation. Ability to learn quickly and adapt to new technologies, tools, and methodologies. Strong problem-solving skills and a keen attention to detail. Excellent communication and presentation skills. Preferred Qualifications: Experience with cloud platforms and MLOps tools. Exposure to big data technologies (Spark, Hadoop) is a plus. Masters degree in Computer Science, Statistics, Mathematics, or a related field. Benefits What a Consulting role at Thoucentric will offer you? Opportunity to define your career path and not as enforced by a manager A great consulting environment with a chance to work with Fortune 500 companies and startups alike. A dynamic but relaxed and supportive working environment that encourages personal development. Be part of One Extended Family. We bond beyond work - sports, get-togethers, common interests etc. Work in a very enriching environment with Open Culture, Flat Organization and Excellent Peer Group. Be part of the exciting Growth Story of Thoucentric! I'm interested Locations: Bangalore North, India | Posted on: 05/02/2025

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

As a Python Developer, you will be responsible for leveraging your experience to build standard supervised (GLM ensemble techniques) and unsupervised (clustering) models using industry libraries such as pandas, sklearn, and keras. Your expertise in big data technologies like Spark and Dask, as well as databases including SQL and NoSQL, will be crucial in this role. Your role will also involve significant experience in Python, encompassing tasks such as writing unit tests, developing packages, and crafting reusable and maintainable code. An essential aspect of your responsibilities will be the ability to comprehend and articulate modeling techniques, along with visualizing analytical results using tools like matplotlib, seaborn, plotly, D3, and tableau. Experience with continuous integration/development tools like Jenkins and Spark ML pipelines will be advantageous. We are looking for a self-starter who not only excels individually but also collaborates effectively with colleagues, bringing innovative ideas to enhance our collective mindset. For the ideal candidate, possessing an advanced degree with a strong foundation in the mathematical principles underpinning machine learning, such as linear algebra and multivariate calculus, would be a significant advantage. Additionally, expertise in specialized areas like reinforcement learning, NLP, Bayesian techniques, or generative models would be highly valued. Your ability to effectively present ideas and analytical findings in a compelling manner that influences stakeholders will be a key aspect of this role. Demonstrated experience in developing analytical solutions within an industry context and a genuine passion for utilizing data science ethically to enhance customer-centricity in financial services will set you apart. If you are ready to contribute to a dynamic team by applying your Python development skills and data science expertise to drive impactful solutions in the financial services sector, we encourage you to explore this opportunity further.,

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Position Title : Full Stack Lead Developer Experience : 6-9.5 Years Job Overview We are seeking a highly skilled and versatile polyglot Full Stack Developer with expertise in modern front-end and back-end technologies, cloud-based solutions, AI/ML and Gen AI. The ideal candidate will have a strong foundation in full-stack development, cloud platforms (preferably Azure), and hands-on experience in Gen AI, AI and machine learning technologies. Key Responsibilities Develop and maintain web applications using Angular/React.js, .NET, and Python. Design, deploy, and optimize Azure native PaaS and SaaS services, including but not limited to Function Apps, Service Bus, Storage Accounts, SQL Databases, Key vaults, ADF, Data Bricks and REST APIs with Open API specifications. Implement security best practices for data in transit and rest. Authentication best practices – SSO, OAuth 2.0 and Auth0. Utilize Python for developing data processing and advanced AI/ML models using libraries like pandas, NumPy, scikit-learn and Langchain, Llamaindex, Azure OpenAI SDK Leverage Agentic frameworks like Crew AI, Autogen etc. Well versed with RAG and Agentic Architecture. Strong in Design patterns – Architectural, Data, Object oriented Leverage azure serverless components to build highly scalable and efficient solutions. Create, integrate, and manage workflows using Power Platform, including Power Automate, Power Pages, and SharePoint. Apply expertise in machine learning, deep learning, and Generative AI to solve complex problems. Primary Skills Proficiency in React.js, .NET, and Python. Strong knowledge of Azure Cloud Services, including serverless architectures and data security. Experience with Python Data Analytics libraries: pandas NumPy scikit-learn Matplotlib Seaborn Experience with Python Generative AI Frameworks: Langchain LlamaIndex Crew AI AutoGen Familiarity with REST API design, Swagger documentation, and authentication best practices. Secondary Skills Experience with Power Platform tools such as Power Automate, Power Pages, and SharePoint integration. Knowledge of Power BI for data visualization (preferred). Preferred Knowledge Areas – Nice To Have In-depth understanding of Machine Learning, deep learning, supervised, un-supervised algorithms. Qualifications Bachelor's or master's degree in computer science, Engineering, or a related field. 6~12 years of hands-on experience in full-stack development and cloud-based solutions. Strong problem-solving skills and ability to design scalable, maintainable solutions. Excellent communication and collaboration skills.

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Position Title : Full Stack Lead Developer Experience : 6-9.5 Years Job Overview We are seeking a highly skilled and versatile polyglot Full Stack Developer with expertise in modern front-end and back-end technologies, cloud-based solutions, AI/ML and Gen AI. The ideal candidate will have a strong foundation in full-stack development, cloud platforms (preferably Azure), and hands-on experience in Gen AI, AI and machine learning technologies. Key Responsibilities Develop and maintain web applications using Angular/React.js, .NET, and Python. Design, deploy, and optimize Azure native PaaS and SaaS services, including but not limited to Function Apps, Service Bus, Storage Accounts, SQL Databases, Key vaults, ADF, Data Bricks and REST APIs with Open API specifications. Implement security best practices for data in transit and rest. Authentication best practices – SSO, OAuth 2.0 and Auth0. Utilize Python for developing data processing and advanced AI/ML models using libraries like pandas, NumPy, scikit-learn and Langchain, Llamaindex, Azure OpenAI SDK Leverage Agentic frameworks like Crew AI, Autogen etc. Well versed with RAG and Agentic Architecture. Strong in Design patterns – Architectural, Data, Object oriented Leverage azure serverless components to build highly scalable and efficient solutions. Create, integrate, and manage workflows using Power Platform, including Power Automate, Power Pages, and SharePoint. Apply expertise in machine learning, deep learning, and Generative AI to solve complex problems. Primary Skills Proficiency in React.js, .NET, and Python. Strong knowledge of Azure Cloud Services, including serverless architectures and data security. Experience with Python Data Analytics libraries: pandas NumPy scikit-learn Matplotlib Seaborn Experience with Python Generative AI Frameworks: Langchain LlamaIndex Crew AI AutoGen Familiarity with REST API design, Swagger documentation, and authentication best practices. Secondary Skills Experience with Power Platform tools such as Power Automate, Power Pages, and SharePoint integration. Knowledge of Power BI for data visualization (preferred). Preferred Knowledge Areas – Nice To Have In-depth understanding of Machine Learning, deep learning, supervised, un-supervised algorithms. Qualifications Bachelor's or master's degree in computer science, Engineering, or a related field. 6~12 years of hands-on experience in full-stack development and cloud-based solutions. Strong problem-solving skills and ability to design scalable, maintainable solutions. Excellent communication and collaboration skills.

Role Expectations Data Collection and Cleaning : Collect, organize, and clean large datasets from various sources (internal databases, external APIs, spreadsheets, etc. Ensure data accuracy, completeness, and consistency by cleaning and transforming raw data into usable formats. Data Analysis Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Conduct statistical analysis to support decision-making and uncover insights. Use analytical methods to identify opportunities for process improvements, cost reductions, and efficiency enhancements. Reporting And Visualization Create and maintain clear, actionable, and accurate reports and dashboards for both technical and non-technical stakeholders. Design data visualizations (charts, graphs, and tables) that communicate findings effectively to decision-makers. Worked on PowerBI , Tableau and Pythoin Libraries for Data visualization like matplotlib , seaborn , plotly , Pyplot , pandas etc. Experience in generating the Descriptive , Predictive & prescriptive Insights with Gen AI using MS Copilot in PowerBI. Experience in Prompt Engineering & RAG Architectures. Prepare reports for upper management and other departments, presenting key findings and : Work closely with cross-functional teams (marketing, finance, operations, etc.) to understand their data needs and provide actionable insights. Collaborate with IT and database administrators to ensure data is accessible and well-structured. Provide support and guidance to other teams regarding data-related questions or issues. Data Integrity And Security Ensure compliance with data privacy and security policies and practices. Maintain data integrity and assist with implementing best practices for data storage and access. Continuous Improvement Stay current with emerging data analysis techniques, tools, and industry trends. Recommend improvements to data collection, processing, and analysis procedures to enhance operational efficiency. Qualifications Education : Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. A Master's degree or relevant certifications (e.g., in data analysis, business intelligence) is a plus. Experience Proven experience as a Data Analyst or in a similar analytical role (typically 7+ years). Experience with data visualization tools (e.g., Tableau, Power BI, Looker). Strong knowledge of SQL and experience with relational databases. Familiarity with data manipulation and analysis tools (e.g., Python, R, Excel, SPSS). Worked on PowerBI , Tableau and Pythoin Libraries for Data visualization like matplotlib , seaborn , plotly , Pyplot , pandas etc. Experience with big data technologies (e.g., Hadoop, Spark) is a plus. Technical Skills Proficiency in SQL and data query languages. Knowledge of statistical analysis and methodologies. Experience with data visualization and reporting tools. Knowledge of data cleaning and transformation techniques. Familiarity with machine learning and AI concepts is an advantage (for more advanced roles). Soft Skills Strong analytical and problem-solving abilities. Excellent attention to detail and ability to identify trends in complex data sets. Good communication skills to present data insights clearly to both technical and non-technical audiences. Ability to work independently and as part of a team. Strong time management and organizational skills, with the ability to prioritize tasks effectively. (ref:hirist.tech)

Amplework Software is a full-stack development agency that specializes in providing end-to-end software development solutions to clients globally. The company is dedicated to delivering high-quality products that meet business requirements by utilizing advanced technologies. Their expertise includes custom software development, mobile applications, AI-driven solutions, and enterprise applications. By joining Amplework Software, you will become part of an innovative team that is focused on driving digital transformation through technology. As an Mid-Level Python and AI Engineer at Amplework Software, your responsibilities will include assisting in building and training machine learning models using frameworks like TensorFlow, PyTorch, and Scikit-Learn. You will have the opportunity to experiment with pre-trained AI models for NLP, Computer Vision, and Predictive Analytics. Additionally, you will work with both structured and unstructured data, conduct preprocessing, and engage in feature engineering. Collaboration with data scientists and software engineers to integrate AI solutions into real-world applications is a key aspect of this role. Continuously learning, experimenting, and optimizing models to enhance performance and efficiency is also part of the job. Ideal candidates for this position should possess a strong foundation in Python, basic machine learning concepts, and a willingness to learn. Required qualifications include a Bachelor's degree in Computer Science, Engineering, AI, or a related field, proficiency in Python with experience in writing optimized and clean code, strong problem-solving skills, and an understanding of machine learning concepts such as linear regression, classification, decision trees, and feature engineering. Experience with data processing libraries like Pandas, NumPy, and Matplotlib, as well as basic knowledge of AI models and neural networks using frameworks such as Scikit-Learn, TensorFlow, or PyTorch are also required. Preferred qualifications for this role include experience with Natural Language Processing (NLP) using transformers, BERT, GPT, or OpenAI APIs, basic understanding of AI model deployment using Flask, FastAPI, or TensorFlow Serving, experience with SQL or NoSQL databases for querying datasets in AI applications, and participation in AI-related competitions, hackathons, or open-source projects. In addition to technical skills, soft skills and work ethics are also important for this role. Candidates should have a strong analytical and problem-solving mindset, the ability to work collaboratively in a team, communicate technical concepts effectively, eagerness to learn and apply new AI techniques, and excellent English communication skills, both written and verbal. Candidates who prefer strictly rule-based programming without flexibility for AI experimentation may not be suitable for this position due to the requirement for strong problem-solving skills and quick learning abilities. A face-to-face interview will be conducted, and applicants should only apply if they are able to attend the interview at the office. Joining the Amplework Software team offers the opportunity to be part of a passionate and collaborative team, work on cutting-edge projects, make a real impact, enjoy competitive benefits, and experience a great working environment.,

About Classplus and Your Role with Polaris School of Technology: Welcome to Classplus! As a revolutionary B2B Ed-Tech startup based in Noida , Classplus empowers educators and content creators to seamlessly embark on their digital teaching journeys. Our platform integrates live classes, content storage, transaction features, content monetization, and more, enabling educators from 3,000+ towns and cities to expand their reach and impact. Backed by Series-D funding from marquee investors like Alpha Wave, Tiger Global, Sequoia Capital’s Surge, and others, we’re committed to transforming education through innovation. 🌏 You’re joining us at an exciting time, working directly with Polaris School of Technology (PST) , a pioneering initiative by Classplus. PST is a cutting-edge tech school dedicated to shaping the next generation of tech talent in India. As part of this initiative, PST offers a unique 4-year Integrated B.Tech program in Computer Science, featuring a hands-on curriculum that immerses students in coding from day one. Our program operates from a corporate campus in Bengaluru's Wipro IT Park, positioning students right in the heart of India’s tech scene. You’ll guide students through real-world challenges, facilitating project-based learning and helping them develop the skills needed to become future tech leaders. We’re thrilled to have you on board, contributing to both the growth of Classplus and the forward-thinking mission of PST! What will you do? Polaris School of Technology is on a look out for Mentors who are passionate about mentoring and teaching the next- gen of best coders. This is a full-time onsite position where you play a key role in delivering, engaging and training programs that enhance students' coding proficiency across various technologies and software tools. Design and deliver comprehensive assignments and assessments, such as mid-term exams and end-semester exams, and evaluate them Develop curriculum materials, including lesson plans, assignments, and assessments, to foster skill development and understanding Provide personalized feedback and support to students to help them overcome challenges and achieve their learning objectives Collaborate with the content development & operations team to continuously enhance course content, LMS features to ensure best learning experience Update yourself with industry trends and best practices to incorporate the latest advancements into teaching methodologies Foster a collaborative and inclusive learning environment that promotes active participation and student engagement. Evaluate student performance and progress to adjust teaching strategies and ensure successful learning outcomes You should apply if you Were the mentor to your juniors: Great camaraderie with juniors and a natural knack for guiding and mentoring is something that comes naturally to you Know our tech: Proficient in Python (Core and Advanced) with a strong grasp of Object-Oriented Programming (OOP) principles. Hands-on experience with key libraries such as pandas, matplotlib, datetime, and pytest is expected. A solid foundation in Data Structures and Algorithms (including recursion, linked lists, and sorting techniques) is required. Experience with backend development using Django or Flask, along with FastAPI, is essential. Familiarity with the MERN stack (Node.js, Express.js, MongoDB) is preferred. Understanding of Low-Level Design (LLD) concepts, including service/repository layering and SOLID principles, is desirable. Candidates should have working knowledge of REST API development, asynchronous operations, file handling, and robust error management. Comfort with tools like Postman and VS Code is considered a plus. Can explain complex stuff to a 5-year old: Proven ability to communicate complex coding concepts effectively and engage learners of varying skill levels Are season, if not a veteran in the field: Experience in designing and delivering training programs, preferably in an educational or professional setting Can take any challenge head-on: Strong problem-solving skills and analytical thinking to address student queries and challenges Articulate like a pro: Excellent written and verbal communication skills with the ability to articulate ideas clearly and concisely Educational Qualifications: B.Tech or Ph.D. in Computer Science Experience: Minimum 2+ yrs of experience in teaching (In app development and design is a plus) Location: Bengaluru Days: Mon to Saturday

AI & Machine Learning Internship Opportunity (Remote, 45Days - Unpaid) No thousands of registration fees, no thousands joining fees, no course purchases in the name of internship — this is a 100% skill development program with real hands-on experience in AI & ML! Location: Remote Duration: 45 DAYS Compensation: Unpaid Eligibility: Open to all 1st, 2nd, 3rd, and 4th Year Students, as well as Recent Graduates. About the Internship: Elevate Labs brings you a golden opportunity to explore the dynamic world of Artificial Intelligence and Machine Learning. In this 1-month remote internship, you’ll work on real-world datasets, train machine learning models, and understand the core concepts of AI — all through hands-on projects and mentorship. This is a pure skill-building internship — no fees, no fluff, just learning, coding, and career growth. What You’ll Gain: MSME Registered and skill India recognized Internship Certificate Letter of Recommendation (LOR) for top performers Top Performer Badge to enhance your resume and LinkedIn Opportunity for a Full-Time Role — Top 10 performers will be considered Who Should Apply Students from any year (1st–4th) Recent Graduates Enthusiasts in AI, ML, Python, Deep Learning, Data Science, or Model Training Skills You’ll Practice: Python Programming for AI Data Pre-processing & Feature Engineering Supervised & Unsupervised Machine Learning Models Model Training, Evaluation & Optimization Real-time Project Implementation Basics of Neural Networks Tools: Scikit-learn, NumPy, Pandas, Matplotlib, Seaborn Ready to kickstart your AI journey ? This is your chance to learn, apply, and shine.

Date Posted: 2025-07-11 Country: India Location: North Gate Business Park Sy.No 2/1, and Sy.No 2/2, KIAL Road, Venkatala Village, Chowdeshwari Layout, Yelahanka, Bangalore, Karnataka 560064 Position Role Type: Unspecified Who we are: At Pratt & Whitney, we believe that powered flight has transformed – and will continue to transform – the world. That’s why we work with an explorer’s heart and a perfectionist’s grit to design, build, and service the world’s Military Engines most advanced aircraft engines. We do this across different portfolios – including Commercial Engines, Business Aviation, General Aviation, Regional Aviation, and Helicopter Aviation – and as a way of turning possibilities into realities for our customers. This is how we at Pratt & Whitney approach our work, and this is why we are inspired to go beyond. Job Description: The Engine Diagnostics, Prognostics and Health Management team (DPHM) is dedicated to providing end to end solutions to improve aircraft reliability while reducing operating costs. The selected candidate will generate/implement algorithms that monitor automatically monitor critical flight parameters, alert for anomalies, and provide visibility to events or exceedances. This helps the operator to make informed decisions about preventive maintenance, thereby reducing unscheduled maintenance, lowering operating costs, and increasing aircraft availability. DPHM’s advanced diagnostic solutions provides true value-added benefits that enable the operator to determine the best time to undertake maintenance on the engine and airframe. This can minimize costs by allowing for component repair instead of replacement and maximize engine time on wing. Essential Duties/Tasks of Position: Support development of advanced engine performance condition trend monitoring algorithms Analyze steady state and transient engine trend data in support of engineering studies Support QCPC & field investigations related to turbine engine Performance, Operability, Control, and Mechanical subsystems Perform performance deterioration studies of engines operating in service Develop and implement scripts, algorithms, machine learning, data clustering and fault classification techniques within a relational database structure to manage, aggregate, and search data in support of advanced diagnostics and prognostics. Implement and maintain analytic dashboards and Power BI solutions Required qualification and skills: Bachelor/Master of Science in Aerospace or Mechanical Engineering with 2-5 years of engineering experience required in field of aviation. Experience in turbomachinery performance modeling (i.e., SOAPP, FAST, NPSS, etc.) Experience supporting turbomachinery testing, data collection and/or data reduction Knowledgeable of Six Sigma Statistical Process Control methods Strong computer programming skills using the languages Python, R, C++, and/or C# (SSIS) Familiar with data visualization techniques using (i.e., Matplotlib, HighCharts and/or PowerBI) Proficient in MS SQL, MySQL and/or PostgreSQL Proficient in MS Office, especially in Excel Good oral and written communication skills Beneficial Skills: Experience specifically with Turboprop/Turboshaft engine performance characteristics Knowledge of DataBricks Knowledge ow AWS and related services What we offer Long-term deferred compensation programs Daycare for young children Advancement programs to enhance education skills Flexible work schedules Leadership and training programs Comprehensive benefits, savings, and pension plans Financial support for parental leave Reward programs for outstanding work RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. Privacy Policy and Terms: Click on this link to read the Policy and Terms

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

Dear Candidate, We are seeking a highly skilled and motivated Software Engineer with expertise in Azure AI , Cognitive Services, Machine Learning , and IoT. The ideal candidate will design, develop, and deploy intelligent applications leveraging Azure cloud technologies, AI-driven solutions, and IoT infrastructure to drive business innovation and efficiency. Responsibilities: Develop and implement AI-driven applications using Azure AI and Cognitive Services . Design and deploy machine learning models to enhance automation and decision-making processes. Integrate IoT solutions with cloud platforms to enable real-time data processing and analytics. Collaborate with cross-functional teams to architect scalable, secure, and high-performance solutions. Optimize and fine-tune AI models for accuracy, performance, and cost-effectiveness. Ensure best practices in cloud security, data governance, and compliance. Monitor, maintain, and troubleshoot AI and IoT solutions in production environments. Stay updated with the latest advancements in AI, ML, and IoT technologies to drive innovation. Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Strong experience with Azure AI, Cognitive Services, and Machine Learning. Proficiency in IoT architecture, data ingestion, and processing using Azure IoT Hub , Edge , or related services. Expertise in deploying and managing machine learning models in cloud environments. Strong understanding of RESTful APIs, microservices, and cloud-native application development. Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes). Knowledge of cloud security principles and best practices. Excellent problem-solving skills and the ability to work in an agile development environment. Preferred Qualifications: Certifications in Microsoft Azure AI, IoT, or related cloud technologies. Experience with Natural Language Processing (NLP) and Computer Vision. Familiarity with big data processing and analytics tools such as Azure Data. Prior experience in deploying edge computing solutions. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies.

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

Position - Senior AI Engineer and Data Scientist – Palantir Platform Location - Gurgaon/Chennai/Hyderabad/Pune/Kolkata/Mumbai/Bangalore Experience - 7 + Years ABOUT HASHEDIN We are software engineers who solve business problems with a Product Mindset for leading global organizations. By combining engineering talent with business insight, we build software and products that can create new enterprise value. The secret to our success is a fast-paced learning environment, an extreme ownership spirit, and a fun culture. WHY SHOULD YOU JOIN US? With the agility of a start-up and the opportunities of an enterprise, every day at HashedIn, your work will make an impact that matters. So, if you are a problem solver looking to thrive in a dynamic fun culture of inclusion, collaboration, and high performance – HashedIn is the place to be! From learning to leadership, this is your chance to take your software engineering career to the next level. JOB TITLE - Senior AI Engineer and Data Scientist – Palantir Platform About the Role We are seeking a highly skilled Senior Data Scientist & AI Engineer to architect, develop, and deploy advanced analytics and AI/ML solutions on the Palantir platform (Foundry, AIP) and/or leading cloud platforms (AWS, Azure, GCP). You will drive end-to-end data science and AI engineering initiatives, leveraging both traditional and cutting-edge technologies to deliver impactful business outcomes. Key Responsibilities Lead end-to-end solution development for data science and AI/ML projects on Palantir Foundry/AIP or major cloud platforms (AWS, Azure, GCP). Own the full data science lifecycle: Data ingestion, cleansing, transformation, and integration from diverse sources Feature engineering, selection, and ontology/schema design Exploratory data analysis (EDA) and visualization Model development, training, tuning, validation, and deployment Production monitoring, drift detection, and model retraining Design and implement AI engineering solutions using Palantir AIP, including: Building and optimizing AIP Logic Functions Leveraging LLMs for translation, classification, and document/image parsing Implementing semantic search, schema matching, and data validation Developing and deploying computer vision models for media analysis Creating feedback loops and cross-validation workflows to enhance model performance Collaborate with cross-functional teams to translate business requirements into robust technical solutions. Mentor and guide junior team members in data science and AI engineering best practices. Stay current with emerging trends in AI/ML, cloud, and Palantir technologies. Required Skills & Experience Education: Bachelor’s or Master’s in Computer Science, Data Science, Engineering, Mathematics, or related field. Experience: 7–12 years in data science, machine learning, or AI engineering roles. Palantir Platform: 1–2 years hands-on experience with Palantir Foundry and/or AIP (preferred), or strong willingness to learn. Cloud Platforms: Proven experience with AWS, Azure, or GCP AI/ML services (e.g., SageMaker, Azure ML, Vertex AI). Core Data Science Competencies: Data ingestion, transformation, and integration Feature engineering and selection Ontology/schema creation and management EDA and data visualization Model training, evaluation, hyperparameter tuning, and deployment AI Engineering Competencies: Object relations and data modeling Building and deploying AI logic functions (AIP Logic) Working with LLMs (translation, classification, document parsing) Computer vision model development and image clustering Schema matching, semantic search, and data validation Feedback loop implementation and model retraining Programming: Proficiency in Python, SQL, and at least one additional language (e.g., Java, Scala, R). ML/AI Frameworks: Experience with Kubeflow, TensorFlow, PyTorch, scikit-learn, or similar. Visualization: Familiarity with matplotlib, seaborn, Power BI, Tableau, or Palantir visualization modules (Contour, Quiver). DevOps/MLOps: Experience with CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes) is a plus. Soft Skills: Strong analytical, problem-solving, and communication skills. Ability to work independently and collaboratively. Preferred Skills Experience with advanced LLMs (e.g., GPT-4, GPT-4o, Gemini, Claude, etc.) and production deployment. Familiarity with data governance, security, and compliance best practices (e.g., RBAC, audit logs, privacy). Certifications (Nice to Have) Palantir Foundry or AIP certifications AWS, Azure, or GCP ML certifications

Job role : Senior Manager - Data Science Exp : 3 -5 years : and Responsibilities : Building end-to-end data pipelines for ML models, other data driven solutions such that the pipeline is directly usable for Building and maintaining data pipelines, data cleaning, transformation, roll-up, pre processing, etc. Building/developing data insight solutions various teams like Credit, Collections Distribution, Vigilance, HR, etc. Building automation solutions using Python, SQL, Docker, etc. as Skills : Must Have Primary skill set : High Proficiency in Python coding along with good knowledge of SQL (joins, nested query, etc.) Data analysis experience. Understand and identify the data points and data acquisition mechanism for structured and unstructured data (text/json/xml) for machine learning data pipeline. Knowledge of using Python Libraries such as Pandas, sqlalchemy (or other Python SQL related libraries), [good to have : matplotlib, numpy, scipy, scikit-learn, nltk]. Working knowledge of GIT repositories (any of the Github, Gitlab etc.) Data management skill sets : Ability to understand data models and create the ETL jobs using Python scripts. Automate regular data acquisition, application process etc. using Python to have (must be open to learning if doesnt have Web API technology : Experience in Rest API developments using any of Django, Flask, Fast API etc. (this will be highly appreciated) Deployment of web API on cloud using Docker (this will be highly useful skills : Working knowledge of Linux. (this will be highly appreciated). Should be able to work on problems independently or with less support Concept of bigdata and Spark (PySpark) knowledge Cloud experience (AWS/Azure/GCP) (ref:hirist.tech)

Data Science Manager-R&D Qualification and Experience:M.Tech / M.E / MS / M.Sc / Ph.D ; 2 Years Qualification and Experience M.Tech / M.E / MS / M.Sc / Ph.D in Computer Science or a related discipline (Applied Mathematics, Statistics, Electrical and/or Computer Engineering) with a focus on Artificial Intelligence / Machine Learning A CGPA of 7.5/10 or above in UG as well as PG level (in case of percentage, 70 PERCENT or above) 2 Years Responsibilities Responsible for applied research, development and validation of advanced machine learning and AI algorithms for solving complex real-world problems at scale Work closely with product team to understand business problems and product vision to come up with innovative algorithmic solutions Create prototypes and demonstrations to validate/establish innovative ideas and translate research outcomes to productized innovation by working with AI Engineers and/or software engineers Create and maintain research plans, conduct experiments, consolidate and document results, and publish works as appropriate Document and protect intellectual property (IP) generated from R&D efforts by collaborating with designated teams and/or external agencies Mentor junior staff to ensure that correct procedures are followed; collaborate with stakeholders, academic/research partners and peer researchers to deliver tangible outcomes Requirements of the role The candidate is expected to be strong in fundamentals of computer science as well as in analyzing and designing AI/Machine learning algorithms Hands-on experience in at least two of the following areas are required : Supervised, unsupervised and semi-supervised machine learning algorithms Reinforcement Learning Deep learning & Representation Learning Knowledge based systems (knowledge representation, reasoning and planning; FOL, ontologies etc.) Evolutionary Computing Probabilistic Graphical Models Streaming, incremental and non-stationary learning Candidate should be strong in at least one programming language, and should have experience in implementing AI/machine learning algorithms in python or R Experience with tools/frameworks/libraries such as Jupyter/Zeppelin, scikit-learn, matplotlib, pandas, Tensorflow, Keras, Apache Spark etc. would be desirable Applied research experience of at least 2 5 years on real-world problems using AI/Machine Learning techniques At least one publication in a top tier conference/journal related to AI/Machine Learning (E.g. ICML, AAAI, NIPS, ICCV, CVPR, KDD, SIGMOD, IJCNN, IJCAI, EMNLP, ICPR, ICDM etc.) and/or patents Experience in contributing to open-source projects related to AI/Machine Learning would be a strong plus Job Code: DSM_TVM Location: Trivandrum For more information, Please mail to: recruitment@flytxt.com

Senior Software Engineer-R&D Qualification and Experience:B.Tech / M.Tech / M.E / MS / M.Sc in Computer Science Qualification and Experience B.Tech / M.Tech / M.E / MS / M.Sc in Computer Science or a related discipline (Applied Mathematics, Statistics, Electrical and/or Computer Engineering) or MCA Demonstrated commitment towards mastering AI/machine learning through own initiatives (side projects, books, MOOC courses etc.) would be a strong plus Responsibilities Implement and/or productize AI/Machine Learning algorithms at scale, utilizing distributed computing techniques, research findings, AI best practices and state of the art frameworks/libraries Setup and manage infrastructure, tools and frameworks for data management and transformation to facilitate AI R&D Package AI/ML algorithms to construct reusable AI recipes/components and/or create APIs for consuming packaged AI models Create examples and prototypes demonstrating consumption of packaged AI/Machine Learning algorithms Follow best practices to modularize, validate and package source code and follow proper source control management guidelines Conduct code reviews and mentor junior team members Work closely with AI researchers to productize innovations Requirements Requirements of the role The candidate should be strong in fundamentals of computer science, especially in algorithm analysis and design, and should be proficient in python programming. The candidate should have experience in working with and maintaining Linux-based systems, and should be hands-on in some/all of the following areas: Applying AI/machine learning, natural language processing and information retrieval algorithms on large datasets Creating and/or consuming AI/machine learning algorithms using tools/frameworks/libraries such as Jupyter/Zeppelin, scikit-learn, numpy, scipy, matplotlib, pandas, Tensorflow, Keras, Apache Spark etc. ETL/data cleansing and enrichment using Hadoop/Spark/other Big Data frameworks Gathering and processing raw data at scale using web scraping, API calls, crawling public repositories etc. Experience in working with SCM tools such as Git/GitHub/Bitbucket, exposure to Extreme Programming (XP), DevOps and/or Agile methodology Experience in conducting design and/or code reviews Job Code: SSE R&D_TVM Location: Trivandrum For more information, Please mail to: recruitment@flytxt.com