178 Svm Jobs

Job Responsibilities: We are seeking an experienced Data Scientist to lead the development of a Data Science program . You will work closely with various stakeholders to derive deep industry knowledge across paper, water, leather, and performance chemical industries . You will help develop a data strategy for the company including collection of the right data, creation of the data science project portfolio, partnering with external providers , and augmenting capabilities with additional internal hires. A large part of the job is communicating and developing relationships with key stakeholders and subject matter experts to tee up proofs of concept (PoC) projects to demonstrate how data science can solve old problems in unique and novel ways . You will not have a large internal team to rely on, at least initially, so individual expertise, breadth of data science knowledge , and ability to partner with external companies will be essential for success. In addition to the pure data science problems, you will be working closely with a multi-disciplinary team consisting of sensor scientists, software engineers, network engineers, mechanical/electrical engineers, and chemical engineers in the development and deployment of IoT solutions . Basic Qualification: Bachelor’s degree in a quantitative field such as Data Science, Statistics, Applied Mathematics, Physics, Engineering, or Computer Science 5+ years of relevant working experience in an analytical role involving data extraction, analysis, and visualization and expertise in the following areas: Expertise in one or more programming languages : R, Python, MATLAB, JMP, Minitab, Java, C++, Scala Key libraries such as Sklearn, XGBoost, GLMNet, Dplyr, ggplot, RShiny Experience and knowledge of data mining algorithms including supervised and unsupervised machine learning techniques in areas such as Gradient Boosting, Decision Trees, Multivariate Regressions, Logistic Regression, Neural Network, Random Forest, SVM, Naive Bayes, Time Series, Optimization Microsoft IoT/data science toolkit : Azure Machine Learning, Datalake, Datalake Analytics, Workbench, IoT Hub, Stream Analytics, CosmosDB, Time Series Insights, Power BI Data querying languages : SQL, Hadoop/Hive A demonstrated record of success with a verifiable portfolio of problems tackled Preferred Qualifications: Master’s or PhD degree in a quantitative field such as Data Science, Statistics, Applied Mathematics, Physics, Engineering, or Computer Science Experience in the specialty chemicals sector or similar industry Background in engineering, especially Chemical Engineering Experience starting up a data science program Experience working with global stakeholders Experience working in a start-up environment, preferably in an IoT company Knowledge in quantitative modeling tools and statistical analysis Personality Traits: A strong business focus, ownership, and inner self-drive to develop data science solutions to real-world customers with tangible impact. Ability to collaborate effectively with multi-disciplinary and passionate team members . Ability to communicate with a diverse set of stakeholders . Strong planning and organization skills , with the ability to manage multiple complex projects . A life-long learner who constantly updates skills. Show more Show less

Job Description ( Candidates with less than 5 years of experience, please do not apply for this. Wait for my next post for engineer roles) In this role, you will be working with one of the top engineering companies in the world, will be handling complex algorithms involving peta bytes of data. In this role you'll be responsible for building machine learning based systems and conduct data analysis that improves the quality of our large geospatial data. You’ll be developing NLP models to extract information, using outlier detection to identifying anomalies and applying data science methods to quantify the quality of our data. You will take part in the development, integration, productionisation and deployment of the models at scale, which would require a good combination of data science and software development. Responsibilities Development of machine learning models Building and maintaining software development solutions Provide insights by applying data science methods Take ownership of delivering features and improvements on time Must-have Qualifications 6+ years experience Senior data scientist/ML engineer preferable with knowledge of NLP Strong programming skills and extensive experience with PythonProfessional experience working with LLMs, transformers and open-source models from HuggingFace Professional experience working with machine learning and data science, such as classification, feature engineering, clustering, anomaly detection and neural networks Knowledgeable in classic machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN etc). Experience using deep learning libraries and platforms, such as PyTorch Experience with frameworks such as Sklearn, Numpy, Pandas, Polars Excellent analytical and problem solving skillsExcellent oral and written communication skills Extra Merit Qualifications Knowledge in at least one of the following: NLP, information retrieval, data mining Ability to do statistical modeling and building predictive models Programming skills and experience with Scala and/or Java Show more Show less

Job description: Job Description Do Research, design, develop, and modify computer vision and machine learning. algorithms and models, leveraging experience with technologies such as Caffe, Torch, or TensorFlow. - Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives. - Help build a high-impact ML/AI team by supporting recruitment, training and development of team members. - Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels. Knowledge & Abilities: - Designing integrations of and tuning machine learning & computer vision algorithms - Research and prototype techniques and algorithms for object detection and recognition - Convolutional neural networks (CNN) for performing image classification and object detection. - Familiarity with Embedded Vision Processing systems - Open source tools & platforms - Statistical Modeling, Data Extraction, Analysis, - Construct, train, evaluate and tune neural networks Mandatory Skills: One or more of the following: Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR TensorFlow, and image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc Supervised & Unsupervised Learning Developed feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the following: Tableau, Hadoop, Spark, HBase, Kafka Experience: - 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets. - Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud - Working w/ one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have: - Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager ͏ ͏ ͏ ͏ Mandatory Skills: Google Gen AI . Experience: 3-5 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome. Show more Show less

🤖 Job Opening: AI/ML Engineer – Fresher 📍 Location : Remote 🏢 Company : Appzime Technologies 💰 Salary : ₹25,000 – ₹30,000/month 🕒 Experience : 0–1 year (Fresher) 🧠 About the Role Are you passionate about Artificial Intelligence and Machine Learning? Do you dream in algorithms and live for model accuracy? At Appzime Technologies , we're inviting freshers to kickstart their career in AI/ML development and be a part of cutting-edge projects across multiple industries — from automation to predictive analytics. 🔬 Key Responsibilities Assist in developing and training ML models using Python and ML libraries (Scikit-learn, TensorFlow, PyTorch). Work on datasets — cleaning, preprocessing, feature extraction, and exploratory data analysis (EDA). Collaborate with data scientists and backend developers to integrate ML models into live systems. Contribute to AI-based automation, NLP tools, recommendation engines, and more. Stay updated with the latest in AI/ML research, tools, and best practices. ✅ Requirements B.Tech / BCA / MCA or equivalent in Computer Science, AI/ML, Data Science, or related field. Good understanding of ML algorithms (Linear Regression, Decision Trees, SVM, KNN, etc.). Hands-on experience in Python and libraries like NumPy , Pandas , Matplotlib , Scikit-learn . Familiar with deep learning concepts and frameworks (TensorFlow/Keras or PyTorch). Strong problem-solving attitude and a hunger to learn new tools. Bonus: Academic or personal ML projects, GitHub profile, or Kaggle participation. 🌟 Why Join Appzime? Opportunity to work on real-world AI/ML deployments from Day 1. Learn directly from experienced engineers and data scientists. Startup-style ownership, innovation, and fast learning curve. Expopsure to client work and cross-domain AI applications. Flexible work setup and access to premium AI tools & resources. 📧 Apply Now : careers@appzime.com Contact Person: https://www.linkedin.com/in/harshit2904/ Show more Show less

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Do Research, design, develop, and modify computer vision and machine learning. algorithms and models, leveraging experience with technologies such as Caffe, Torch, or TensorFlow. - Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives. - Help build a high-impact ML/AI team by supporting recruitment, training and development of team members. - Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels. Knowledge & Abilities: - Designing integrations of and tuning machine learning & computer vision algorithms - Research and prototype techniques and algorithms for object detection and recognition - Convolutional neural networks (CNN) for performing image classification and object detection. - Familiarity with Embedded Vision Processing systems - Open source tools & platforms - Statistical Modeling, Data Extraction, Analysis, - Construct, train, evaluate and tune neural networks Mandatory Skills: One or more of the following: Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR TensorFlow, and image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc Supervised & Unsupervised Learning Developed feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the following: Tableau, Hadoop, Spark, HBase, Kafka Experience: - 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets. - Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud - Working w/ one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have: - Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager ͏ ͏ ͏ ͏ Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Description In this role the Account Manager will manage a set of critical seller accounts which contribute to 20%+ business of the category. He/She/They will be responsible to develop strong relationships with top sellers in the category and drive improvements in customer facing inputs and achieve category objectives. Key job responsibilities Managing the seller relationship by championing the seller’s needs at Amazon. Build strong communication channels at all levels of the seller’s organization, set proper expectations, provide clear status communications, and manage towards a growth plan. Managing and driving the growth of the seller’s business: Build and execute on a strategic account plan that delivers on key business opportunities for the seller and Amazon. Managing key improvement initiatives and projects: Drive new product launches and relationship extensions by partnering with the business development and onboarding teams. Work with sellers to improve operational aspects of their business in providing a great consumer experience. Analyzing the business: Conduct deep dive analysis and provide routine executive-level reporting on the seller’s current business and future opportunities. Publish recommendations and action plans based on data. Basic Qualifications 2+ years of sales experience Experience analyzing data and best practices to assess performance drivers Preferred Qualifications Experience meeting revenue targets and quotas Experience in e-commerce Experience working in a fast-paced and highly cross-functional organization 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. Company - ASSPL - Karnataka Job ID: A2971900 Show more Show less

Description In this role the Account Manager will manage a set of critical seller accounts which contribute to 20%+ business of the category. He/She/They will be responsible to develop strong relationships with top sellers in the category and drive improvements in customer facing inputs and achieve category objectives. Key job responsibilities Managing the seller relationship by championing the seller’s needs at Amazon. Build strong communication channels at all levels of the seller’s organization, set proper expectations, provide clear status communications, and manage towards a growth plan. Managing and driving the growth of the seller’s business: Build and execute on a strategic account plan that delivers on key business opportunities for the seller and Amazon. Managing key improvement initiatives and projects: Drive new product launches and relationship extensions by partnering with the business development and onboarding teams. Work with sellers to improve operational aspects of their business in providing a great consumer experience. Analyzing the business: Conduct deep dive analysis and provide routine executive-level reporting on the seller’s current business and future opportunities. Publish recommendations and action plans based on data. Basic Qualifications 2+ years of sales experience Experience analyzing data and best practices to assess performance drivers Preferred Qualifications Experience meeting revenue targets and quotas Experience in e-commerce Experience working in a fast-paced and highly cross-functional organization 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. Company - ASSPL - Karnataka Job ID: A2971900 Show more Show less

Description We are looking for a Strategic account manager responsible for the growth and development of some of the most influential sellers on the Amazon.in marketplace. The ideal candidate thrives in an ambiguous environment where they must develop, implement and iterate on business strategies to deliver growth and positive experience for sellers. The candidate should be hands-on, detail oriented, have relentlessly high standards and operates as a business owner who understands key levers to achieve results through their team. In this role, the candidate will be responsible for achieving the top line nos. for the business by driving strategic business and operational objectives. The candidate will drive the creation and execution of strategies to achieve business goals through his team by focusing on selection expansion, leveraging Fulfillment channels for faster delivery, developing merchandising strategy and improving catalog quality. The candidate will use his category expertise to drive seller interactions & act as a Voice of Seller influencing Marketplace policies on Seller Fees and Policies, in areas like Reimbursements, Returns, Seller Claims etc. The candidate would need to actively collaborate with other stakeholders like Category Management, Fulfillment, Finance, Product & Advertising teams to align programs and initiatives to identify potential growth avenues and drive seller success. If you are interested in growing brands and businesses on Amazon, we’re interested in talking to you! Key job responsibilities Business Growth Contribute to business strategy development and identify correct input metrics that drive growth and improve the end customer & seller experience, in collaboration with cross-functional teams and other Amazon programs. Possess the ability to manage and deliver against complex goals where strategy is not defined. Able to make tradeoffs between short term seller needs and longer-term strategic investment. Relationship Management Build and cultivate strong relationships with sellers in your portfolio along with internal stakeholders; be a trusted advisor and a business advocate. Process Excellence Use customer feedback, market growth trends, and analyze key metrics to contribute to strategic development of features and programs that accelerate seller’s growth and improve their experience working with Amazon. Spot areas of unnecessary process or inefficiencies and work to simplify. Identify, optimize, and scale improvements that can benefit a large set of customers, e.g. driving efficiencies through tools and processes, simplifying SOPs, etc., working across multiple organizations. Develop mechanisms to create accountability. Basic Qualifications 2+ years of sales experience Experience analyzing data and best practices to assess performance drivers Preferred Qualifications Experience in e-commerce - Experience meeting revenue targets and quotas - Experience in e-commerce - Experience working in a fast-paced and highly cross-functional organization 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. Company - ASSPL - Maharashtra - C32 Job ID: A2971907 Show more Show less

Greetings from Colan Infotech!! Role - Data Scientist Experience - 3+ Years Job Location - Chennai/Bangalore Notice Period - Immediate to 30 Days Primary Skills Needed : AI/ML, Tensorflow, Django, Pytorch, NLP, Image processing,Gen AI,LLM Secondary Skills Needed : Keras, OpenCV, Azure or AWS Job Description:- Practical knowledge and working experience on Statistics and Operation Research methods. Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j. Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc. Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models. Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database. Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS Comprehend business issues and propose valuable business solutions. Design Factual or AI/profound learning models to address business issues. Design Statistical Models/ML/DL models and deploy them for production. Formulate what information is accessible from where and how to augment it. Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j Show more Show less

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? , AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Analyst – Junior Data Scientist Location: Bangalore Reporting to: Manager Analytics Purpose of the role Key Tasks & Accountabilities Execute coding skills to develop ML/time-series models. Focus on developing end-to-end analytical solution and present them to business partners/stakeholders. Should have consultative mindset to come up with solutions that can be easily understood and interpreted by business users. Research on the newer technologies and algorithms, to provide better solutions to the current problems. Interact and manage expectations of multiple stakeholders, building compelling narratives and help drive value for businesses by helping them strengthen brands on ground. Qualifications, Experience & Skills Level Of Educational Attainment Required Degree in business analytics / data science / statistics / economics and / or degree in Engineering, Mathematics or Computer Science Previous Work Experience Bachelor’s degree with minimum 2 years of Data Science experience Hands-on experience in implementation of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques) and time-series algorithms (e.g. ARIMA, ARIMAX, UCM, Holt-Winters and others) Strong programming skills with working knowledge of SQL, Python. Excellent problem-solving and analytical mindset Strong communication and interpersonal skills Strong story boarding skills And above all of this, an undying love for beer! We dream big to create future with more cheers Show more Show less

hackajob is collaborating with Wipro to connect them with exceptional tech professionals for this role. Title: Datascientist with GenAI-2 Requisition ID: 45466 City: Bengaluru Country/Region: IN Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Do Research, design, develop, and modify computer vision and machine learning. algorithms and models, leveraging experience with technologies such as Caffe, Torch, or TensorFlow. - Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives. - Help build a high-impact ML/AI team by supporting recruitment, training and development of team members. - Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels. Knowledge & Abilities: - Designing integrations of and tuning machine learning & computer vision algorithms - Research and prototype techniques and algorithms for object detection and recognition - Convolutional neural networks (CNN) for performing image classification and object detection. - Familiarity with Embedded Vision Processing systems - Open source tools & platforms - Statistical Modeling, Data Extraction, Analysis, - Construct, train, evaluate and tune neural networks Mandatory Skills: One or more of the following: Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR TensorFlow, and image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc Supervised & Unsupervised Learning Developed feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the following: Tableau, Hadoop, Spark, HBase, Kafka Experience: - 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets. - Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud - Working w/ one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have: - Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager ͏ ͏ ͏ ͏ Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome. Show more Show less

Job Title: Data Analyst - Python Job Classification : Full-Time Work Location : Work-From-Office (Hyderabad) Education : BE-BCS, B-Tech-IT, MCA or Equivalent Experience Level : 3 Years (2+ years’ Data Analysis experience) Company Description Team Geek Solutions (TGS) is a global technology partner based in Texas, specializing in AI and Generative AI solutions, custom software development, and talent optimization. TGS offers a range of services tailored to industries like BFSI, Telecom, FinTech, Healthcare, and Manufacturing. With expertise in AI/ML development, cloud migration, software development, and more, TGS helps businesses achieve operational efficiency and drive innovation. Position Description We are looking for a Data Analyst to analyze large amounts of raw information to find patterns that will help improve our products. We will rely on you to build data models to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Your task is to gather and prepare data from multiple sources, run statistical analyses, and communicate your findings in a clear and objective way. Your goal will be to help our company analyze trends to make better decisions. Qualifications/Skills Required 2+years’ experience in Python, with knowledge of packages such as pandas, NumPy, SciPy, Scikit-learn, Flask Proficiency in at least one data visualization tool, such as Matplotlib, Seaborn and Plotly Experience with popular statistical and machine learning techniques, such as clustering, SVM, KNN, decision trees, etc. Experience with databases, such as SQL and MongoDB Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Knowledge of python libraries OpenCVand TensorFlow is a plus Job Responsibilities /Essential Functions Identify, analyze, and interpret trends or patterns in complex data sets Explore and visualize data Use machine learning tools to select features, create and optimize classifiers Clearly communicate the findings from the analysis to turn information into something actionable through reports, dashboards, and/or presentations. Skills: pandas,business insights,numpy,plotly,scipy,python,mongodb,analytical skills,tensorflow,statistics,machine learning,sql,data,opencv,seaborn,data visualization,matplotlib,scikit-learn,flask Show more Show less

Candidate Profile Previous experience in building data science / algorithms based products is big advantage. Experience in handling healthcare data is desired. Educational Qualification Bachelors / Masters in computer science / Data Science or related subjects from reputable institution Typical Experience 7-9 years experience of industry experience in developing data science models and solutions. Able to quickly pick up new programming languages, technologies, and frameworks Strong understanding of data structures and algorithms Proven track record of implementing end to end data science modelling projects, providing the guidance and thought leadership to the team. Strong experience in a consulting environment with a do it yourself attitude. Primary Responsibility As a Data science lead you will be responsible to lead a team of analysts and data scientists / engineers and deliver end to end solutions for pharmaceutical clients. Is expected to participate in client proposal discussions with senior stakeholders and provide thought leadership for technical solution. Should be expert in all phases of model development (EDA, Hypothesis, Feature creation, Dimension reduction, Data set clean-up, Training models, Model selection, Validation and Deployment) Should have deep understanding of statistical & machine learning methods ((logistic regression, SVM, decision tree, random forest, neural network), Regression (linear regression, decision tree, random forest, neural network), Classical optimisation (gradient descent etc), Must have thorough mathematical knowledge of correlation/causation, classification, recommenders, probability, stochastic processes, NLP, and how to implement them to a business problem. Should be able to help implement ML models in a optimized , sustainable framework. Expected to gain business understanding in health care domain order to come up with relevant analytics use cases. (E.g. HEOR / RWE / Claims Data Analysis) Expected to keep the team up to date on latest and great in the world on ML and AI. Technical Skill and Expertise Expert level proficiency in programming language Python/SQL. Working knowledge of Relational SQL and NoSQL databases, including Postgres, Redshift Extensive knowledge of predictive & machine learning models in order to lead the team in implementation of such techniques in real world scenarios. Working knowledge of NLP techniques and using BERT transformer models to solve complicated text heavy data structures. Working knowledge of Deep learning & unsupervised learning. Well versed with Data structures, Pre-processing , Feature engineering, Sampling techniques. Good statistical knowledge to be able analyse data. Exposure to open source tools & working on cloud platforms like AWS and Azure and being able to use their tools like Athena, Sagemaker, machine learning libraries is a must. Exposure to AI tools LLM models Llama (ChatGPT, Bard) and prompt engineering is added advantage Exposure to visualization tools like Tableau, PowerBI is an added advantage Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others. Show more Show less

Job Description In this role you'll be responsible for building machine learning based systems and conduct data analysis that improves the quality of our large geospatial data. You’ll be developing NLP models to extract information, using outlier detection to identifying anomalies and applying data science methods to quantify the quality of our data. You will take part in the development, integration, productionisation and deployment of the models at scale, which would require a good combination of data science and software development. Responsibilities - Development of machine learning models - Building and maintaining software development solutions - Provide insights by applying data science methods - Take ownership of delivering features and improvements on time Must-have Qualifications - 5+ years experience - Senior data scientist preferable with knowledge of NLP - Strong programming skills and extensive experience with Python - Professional experience working with LLMs, transformers and open-source models from HuggingFace - Professional experience working with machine learning and data science, such as classification, feature engineering, clustering, anomaly detection and neural networks - Knowledgeable in classic machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN etc). - Experience using deep learning libraries and platforms, such as PyTorch - Experience with frameworks such as Sklearn, Numpy, Pandas, Polars - Excellent analytical and problem solving skills - Excellent oral and written communication skills Extra Merit Qualifications - Knowledge in at least one of the following: NLP, information retrieval, data mining - Ability to do statistical modeling and building predictive models - Programming skills and experience with Scala and/or Java Show more Show less

Job Title: Sr. Data Engineer Location: Office-Based (Ahmedabad, India) About Hitech Hitech is a leading provider of Data, Engineering Services, and Business Process Solutions. With robust delivery centers in India and global sales offices in the USA, UK, and the Netherlands, we enable digital transformation for clients across industries including Manufacturing, Real Estate, and e-Commerce. Our Data Solutions practice integrates automation, digitalization, and outsourcing to deliver measurable business outcomes. We are expanding our engineering team and looking for an experienced Sr. Data Engineer to design scalable data pipelines, support ML model deployment, and enable insight-driven decisions. Position Summary We are seeking a Data Engineer / Lead Data Engineer with deep experience in data architecture, ETL pipelines, and advanced analytics support. This role is crucial for designing robust pipelines to process structured and unstructured data, integrate ML models, and ensure data reliability. The ideal candidate will be proficient in Python, R, SQL, and cloud-based tools, and possess hands-on experience in creating end-to-end data engineering solutions that support data science and analytics teams. Key Responsibilities Design and optimize data pipelines to ingest, transform, and load data from diverse sources. Build programmatic ETL pipelines using SQL and related platforms. Understand complex data structures and perform data transformation effectively. Develop and support ML models such as Random Forest, SVM, Clustering, Regression, etc. Create and manage scalable, secure data warehouses and data lakes. Collaborate with data scientists to structure data for analysis and modeling. Define solution architecture for layered data stacks ensuring high data quality. Develop design artifacts including data flow diagrams, models, and functional documents. Work with technologies such as Python, R, SQL, MS Office, and SageMaker. Conduct data profiling, sampling, and testing to ensure reliability. Collaborate with business stakeholders to identify and address data use cases. Qualifications & Experience 4 to 6 years of experience in data engineering, ETL development, or database administration. Bachelor’s degree in Mathematics, Computer Science, or Engineering (B.Tech/B.E.). Postgraduate qualification in Data Science or related discipline preferred. Strong proficiency in Python, SQL, Advanced MS Office tools, and R. Familiarity with ML concepts and integrating models into pipelines. Experience with NoSQL systems like MongoDB, Cassandra, or HBase. Knowledge of Snowflake, Databricks, and other cloud-based data tools. ETL tool experience and understanding of data integration best practices. Data modeling skills for relational and NoSQL databases. Knowledge of Hadoop, Spark, and scalable data processing frameworks. Experience with SciKit, TensorFlow, Pytorch, GPT, PySpark, etc. Ability to build web scrapers and collect data from APIs. Experience with Airflow or similar tools for pipeline automation. Strong SQL performance tuning skills in large-scale environments. What We Offer Competitive compensation package based on skills and experience. Opportunity to work with international clients and contribute to high-impact data projects. Continuous learning and professional growth within a tech-forward organization. Collaborative and inclusive work environment. If you're passionate about building data-driven infrastructure to fuel analytics and AI applications, we look forward to connecting with you. Anand Soni Hitech Digital Solutions Show more Show less

Ref: SCH-SVMAT-0779 20 day(s) remaining Establishment: Stowe Valley Multi Academy Trust Location: Multi-Site Salary: 20489.91 - 22187.17 Department: MAT Central Job Type: Part Time Closing Date: 03/07/2025 09:00 Interview Date: - Start Date: ASAP Additional Information Contract Type: Permanent Contract Term: TTO Plus - Term time only plus weeks Hours per Week: 35.00 Weeks per Year: 39.000 Pay Grade: Scale F 6-11 plus travel expenses The Role Stowe Valley Multi Academy Trust c/o Southam College Welsh Road West Southam, CV47 0JW Tel: 01926 812560 www.southamcollege.com CEO: R S Samra BA. MA Multi Site Teaching Assistant Level 2 Term Time Only - plus 5 Inset days 35 hours per week, Monday-Friday (working pattern to be agreed) Scale F 6-11 plus travel expenses £20,489.91 pay award pending We are thrilled to offer a new and exciting Teaching Assistant (TA) role within Stowe Valley MAT. The Multi Site TA role will work across three of our small primary schools: Stockton Primary, Temple Herdewyke and Byfield Primary School, supporting pupils with SEN. The successful candidate will be calm, patient, understanding and nurturing and will enjoy working with a varied staff group as well as pupils with a range of needs. We strive to provide high quality education for all students and we are looking to recruit someone to support our students across the Trust in fulfilling their academic potential and enabling them to become ‘the best they can be’. An understanding of how every member of staff contributes to this is essential. All applications are via our online platform and can be found on the Vacancies section of the Stowe Valley Multi Academy Trust website www.stowevalleymat.com. We will not accept CVs for this post. Strong applications may be considered on receipt. The trust is committed to safeguarding and promoting the welfare of children and young people and expects all staff and volunteers to share this commitment. This post is subject to an Enhanced DBS Disclosure. COMMITTED TO EQUAL OPPORTUNITIES Qualifications Qualification Title Grade TA2 qualification or equivalent or relevant experience Essential Related Documents Privacy Notice SVM-Privacy_Notice_for_Applicant -2024-25.pdf Download Safer Recruitment Statement SaferRecruitmentStatement.pdf Download Short Listed Candidate Self Disclosure Form Self-DisclosureforShortlistedCandidates.docx Download Job Description Job Description JD8.00 TA 2.pdf Download Safeguarding Information Stowe Valley Multi Academy Trust is committed to safeguarding and promoting the welfare of young people and vulnerable adults, and all appointments are subject to enhanced Disclosure & Barring Service (DBS) checks and satisfactory references. Stowe Valley Multi Academy Trust is also committed to promoting equality, challenging discrimination and developing community cohesion. We welcome applications from all sections of the community. Apply for this role Submit your application today with our simple application process Apply Now Back Show more Show less

Description DESCRIPTION In this role the Account Manager will manage a set of critical seller accounts which contribute to 20%+ business of the category. He/She/They will be responsible to develop strong relationships with top sellers in the category and drive improvements in customer facing inputs and achieve category objectives. Key job responsibilities Key job responsibilities Managing the seller relationship by championing the seller’s needs at Amazon. Build strong communication channels at all levels of the seller’s organization, set proper expectations, provide clear status communications, and manage towards a growth plan. Managing and driving the growth of the seller’s business: Build and execute on a strategic account plan that delivers on key business opportunities for the seller and Amazon. Managing key improvement initiatives and projects: Drive new product launches and relationship extensions by partnering with the business development and onboarding teams. Work with sellers to improve operational aspects of their business in providing a great consumer experience. Analyzing the business: Conduct deep dive analysis and provide routine executive-level reporting on the seller’s current business and future opportunities. Publish recommendations and action plans based on data. Basic Qualifications 2+ years of sales experience Experience analyzing data and best practices to assess performance drivers Preferred Qualifications Experience meeting revenue targets and quotas Experience in e-commerce Experience working in a fast-paced and highly cross-functional organization 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. Company - ASSPL - Karnataka Job ID: A2988239 Show more Show less

About the job A little about us... LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 750 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across 35 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more info, please visit www.ltimindtree.com Job Details- We are having a weekend drive for the requirement of a Data Scientist at our Bangalore office. Date - 14th June Experience - 4 to 12 Yrs. Location – LTIMindtree Office Bangalore Whitefield Notice Period - Immediate to 60 Days only Mandatory Skills- Gen-AI, Data Science, Python, RAG and Cloud (AWS/Azure) Secondary - (Any) - Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment Generic JD : More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG and Large Language Models like – BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like – AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen. Show more Show less

JOB DESCRIPTION Technology Deployment and Management Service (TDMS) organization is a critical arm of Oracle FLEXCUBE consulting group. TDMS delivers Oracle Technology services for FSGBU product customer, while the applications team focusses on the application customization and setup. We are looking for a highly capable, self-motivated and independent Linux Administrators experts based in India. If you are passionate about Oracle technology as well as cloud computing, this is the ideal role you’ve been waiting for. Our team supports technology which are available both on-premise and on Cloud. The Admin needs to have deep technical domain expertise, and will work closely with the Solution Architect team to help craft the solution and then continue to collaborate with the customer on Key Responsibilities: Installing, configuring and maintaining Linux Servers / Virtualization. Installation and configuration of HA environment using Linux cluster or Veritas Cluster. Configuration and administration of LVM and Veritas logical volume manager. Strong background and understanding of Linux and scripting. Daily maintenance/administration of multiple Unix systems Strong technical problem solving skills and experience in IP networking and static routing FTPSSH, SMTP, DNS, HTTP/S, DHCP, Syslog logging facility. Installation, set up, configuration and maintenance of Java Application Servers, Apache Web Servers, Cisco Firewalls, and Database Servers Assists with Veritas Backups and recovery. Configuration and maintenance of the monitoring system Experience in a high availability and mission critical environment. Experience with Firewalls (IPTABLES/IPCHAINS) Experience with SNMP/Nagios based Monitoring Experience in visualization and network attached storage Solid verbal and written communication skills. Team player and ability to work independently and effectively under pressure in a high paced and energetic environment Strong understanding of TCPIP, UDP and Multicast traffic. Understanding of SAN and NAS storage. Experience in System Fault Tolerance Design, Business continuity and Disaster recovery planning. Performance Management & fine tuning. Patch and Package administration Extensive experience in kernel patching and firmware upgradation. Troubleshooting Hardware and Operating system related issue Able to handle most of basic to advanced calls in User, group management, system start-up, service modification, crontab entries, ACL modifications, file system management, root & OS backups Experience in Server Experience on following will be added advantage Samba, DNS, NIS, Send mail / Exim / Postfix / Qmail, LDAP Knowledge on Vulnerability remediation Understanding of Qualys Proactively monitoring the Server s health and taking preventive or corrective action as required. NIC bonding using bonding kernel module. Sound experience in Linux LVM, VxVM and Solaris SVM Skills Needed Experience with RHEL Systems Manager and Subscription Manager Experience with virtualization of RHEL servers on ESX Hands-on experience with Bash Scripting and writing automation scripts for Operational tasks Hands-on experience with scripting tools, Ansible, Satellite and other automation tools Experience on AIX or Solaris OS would be an added advantage Well versed with ITIL framework Career Level - IC2 RESPONSIBILITIES Technology Deployment and Management Service (TDMS) organization is a critical arm of Oracle FLEXCUBE consulting group. TDMS delivers Oracle Technology services for FSGBU product customer, while the applications team focusses on the application customization and setup. We are looking for a highly capable, self-motivated and independent Linux Administrators experts based in India. If you are passionate about Oracle technology as well as cloud computing, this is the ideal role you’ve been waiting for. Our team supports technology which are available both on-premise and on Cloud. The Admin needs to have deep technical domain expertise, and will work closely with the Solution Architect team to help craft the solution and then continue to collaborate with the customer on Key Responsibilities: Installing, configuring and maintaining Linux Servers / Virtualization. Installation and configuration of HA environment using Linux cluster or Veritas Cluster. Configuration and administration of LVM and Veritas logical volume manager. Strong background and understanding of Linux and scripting. Daily maintenance/administration of multiple Unix systems Strong technical problem solving skills and experience in IP networking and static routing FTPSSH, SMTP, DNS, HTTP/S, DHCP, Syslog logging facility. Installation, set up, configuration and maintenance of Java Application Servers, Apache Web Servers, Cisco Firewalls, and Database Servers Assists with Veritas Backups and recovery. Configuration and maintenance of the monitoring system Experience in a high availability and mission critical environment. Experience with Firewalls (IPTABLES/IPCHAINS) Experience with SNMP/Nagios based Monitoring Experience in visualization and network attached storage Solid verbal and written communication skills. Team player and ability to work independently and effectively under pressure in a high paced and energetic environment Strong understanding of TCPIP, UDP and Multicast traffic. Understanding of SAN and NAS storage. Experience in System Fault Tolerance Design, Business continuity and Disaster recovery planning. Performance Management & fine tuning. Patch and Package administration Extensive experience in kernel patching and firmware upgradation. Troubleshooting Hardware and Operating system related issue Able to handle most of basic to advanced calls in User, group management, system start-up, service modification, crontab entries, ACL modifications, file system management, root & OS backups Experience in Server Experience on following will be added advantage Samba, DNS, NIS, Send mail / Exim / Postfix / Qmail, LDAP Knowledge on Vulnerability remediation Understanding of Qualys Proactively monitoring the Server s health and taking preventive or corrective action as required. NIC bonding using bonding kernel module. Sound experience in Linux LVM, VxVM and Solaris SVM Skills Needed Experience with RHEL Systems Manager and Subscription Manager Experience with virtualization of RHEL servers on ESX Hands-on experience with Bash Scripting and writing automation scripts for Operational tasks Hands-on experience with scripting tools, Ansible, Satellite and other automation tools Experience on AIX or Solaris OS would be an added advantage Well versed with ITIL framework QUALIFICATIONS Career Level - IC2 ABOUT US As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

JOB DESCRIPTION Technology Deployment and Management Service (TDMS) organization is a critical arm of Oracle FLEXCUBE consulting group. TDMS delivers Oracle Technology services for FSGBU product customer, while the applications team focusses on the application customization and setup. We are looking for a highly capable, self-motivated and independent Linux Administrators experts based in India. If you are passionate about Oracle technology as well as cloud computing, this is the ideal role you’ve been waiting for. Our team supports technology which are available both on-premise and on Cloud. The Admin needs to have deep technical domain expertise, and will work closely with the Solution Architect team to help craft the solution and then continue to collaborate with the customer on Key Responsibilities: Installing, configuring and maintaining Linux Servers / Virtualization. Installation and configuration of HA environment using Linux cluster or Veritas Cluster. Configuration and administration of LVM and Veritas logical volume manager. Strong background and understanding of Linux and scripting. Daily maintenance/administration of multiple Unix systems Strong technical problem solving skills and experience in IP networking and static routing FTPSSH, SMTP, DNS, HTTP/S, DHCP, Syslog logging facility. Installation, set up, configuration and maintenance of Java Application Servers, Apache Web Servers, Cisco Firewalls, and Database Servers Assists with Veritas Backups and recovery. Configuration and maintenance of the monitoring system Experience in a high availability and mission critical environment. Experience with Firewalls (IPTABLES/IPCHAINS) Experience with SNMP/Nagios based Monitoring Experience in visualization and network attached storage Solid verbal and written communication skills. Team player and ability to work independently and effectively under pressure in a high paced and energetic environment Strong understanding of TCPIP, UDP and Multicast traffic. Understanding of SAN and NAS storage. Experience in System Fault Tolerance Design, Business continuity and Disaster recovery planning. Performance Management & fine tuning. Patch and Package administration Extensive experience in kernel patching and firmware upgradation. Troubleshooting Hardware and Operating system related issue Able to handle most of basic to advanced calls in User, group management, system start-up, service modification, crontab entries, ACL modifications, file system management, root & OS backups Experience in Server Experience on following will be added advantage Samba, DNS, NIS, Send mail / Exim / Postfix / Qmail, LDAP Knowledge on Vulnerability remediation Understanding of Qualys Proactively monitoring the Server s health and taking preventive or corrective action as required. NIC bonding using bonding kernel module. Sound experience in Linux LVM, VxVM and Solaris SVM Skills Needed Experience with RHEL Systems Manager and Subscription Manager Experience with virtualization of RHEL servers on ESX Hands-on experience with Bash Scripting and writing automation scripts for Operational tasks Hands-on experience with scripting tools, Ansible, Satellite and other automation tools Experience on AIX or Solaris OS would be an added advantage Well versed with ITIL framework Career Level - IC2 RESPONSIBILITIES Technology Deployment and Management Service (TDMS) organization is a critical arm of Oracle FLEXCUBE consulting group. TDMS delivers Oracle Technology services for FSGBU product customer, while the applications team focusses on the application customization and setup. We are looking for a highly capable, self-motivated and independent Linux Administrators experts based in India. If you are passionate about Oracle technology as well as cloud computing, this is the ideal role you’ve been waiting for. Our team supports technology which are available both on-premise and on Cloud. The Admin needs to have deep technical domain expertise, and will work closely with the Solution Architect team to help craft the solution and then continue to collaborate with the customer on Key Responsibilities: Installing, configuring and maintaining Linux Servers / Virtualization. Installation and configuration of HA environment using Linux cluster or Veritas Cluster. Configuration and administration of LVM and Veritas logical volume manager. Strong background and understanding of Linux and scripting. Daily maintenance/administration of multiple Unix systems Strong technical problem solving skills and experience in IP networking and static routing FTPSSH, SMTP, DNS, HTTP/S, DHCP, Syslog logging facility. Installation, set up, configuration and maintenance of Java Application Servers, Apache Web Servers, Cisco Firewalls, and Database Servers Assists with Veritas Backups and recovery. Configuration and maintenance of the monitoring system Experience in a high availability and mission critical environment. Experience with Firewalls (IPTABLES/IPCHAINS) Experience with SNMP/Nagios based Monitoring Experience in visualization and network attached storage Solid verbal and written communication skills. Team player and ability to work independently and effectively under pressure in a high paced and energetic environment Strong understanding of TCPIP, UDP and Multicast traffic. Understanding of SAN and NAS storage. Experience in System Fault Tolerance Design, Business continuity and Disaster recovery planning. Performance Management & fine tuning. Patch and Package administration Extensive experience in kernel patching and firmware upgradation. Troubleshooting Hardware and Operating system related issue Able to handle most of basic to advanced calls in User, group management, system start-up, service modification, crontab entries, ACL modifications, file system management, root & OS backups Experience in Server Experience on following will be added advantage Samba, DNS, NIS, Send mail / Exim / Postfix / Qmail, LDAP Knowledge on Vulnerability remediation Understanding of Qualys Proactively monitoring the Server s health and taking preventive or corrective action as required. NIC bonding using bonding kernel module. Sound experience in Linux LVM, VxVM and Solaris SVM Skills Needed Experience with RHEL Systems Manager and Subscription Manager Experience with virtualization of RHEL servers on ESX Hands-on experience with Bash Scripting and writing automation scripts for Operational tasks Hands-on experience with scripting tools, Ansible, Satellite and other automation tools Experience on AIX or Solaris OS would be an added advantage Well versed with ITIL framework QUALIFICATIONS Career Level - IC2 ABOUT US As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Title : Senior Manager -Data Science, Machine Learning and GenAI Technical Leader Job Area: Information Technology Group, Information Technology Group > IT Management General Summary: Experience in engaging with business and technical stakeholders, understanding complex problem statements, and proposing value-driven Data Science & ML solutionsFunctional & technical leadership in developing data science roadmap and guiding the team with end-to-end delivery (design, development, maintenance, and optimization) of advanced analytical solutions with focus on process standardization and best practicesProactive in reaching out to wide variety of stakeholders for increasing the awareness of Data Science, ML and GenAI capabilities and identifying business value driven opportunitiesAnalyze the market and industry trends in the technology and proactively look for opportunities in bringing the best solutions 'Strong analytical skills with the ability to gather information from several sources and identify fundamental patterns/trends in dataConduct research, design statistical studies and develop solutionsDevelop Story Telling dashboards on analytics to assist business in decision makingImplement deep learning models for structured and unstructured data setsPerform Time Series Analysis and Forecast (ARIMA, Exponential Smoothing, VAR etc.)Implementation experience with identifying, prototyping, developing and delivering GenAI solutions using Industry standard RAG models and frameworksAbility to develop capabilities in Text Analytics ranging from Basic to Advanced (Topic Modelling, NLP)Experience with AWS suite of Data Science and ML toolsDevelops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, Catboost etc.) 'Experience with other cloud platforms (GCP and Azure)Understanding of Data Platforms and Data EngineeringExposure to ChatBot solutions and Automation technologies Minimum Qualifications: 7+ years of IT-related work experience with a Bachelor's degree. OR 9+ years of IT-related work experience without a Bachelors degree. 4+ years in a leadership role in projects/programs.

JOB DESCRIPTION Technology Deployment and Management Service (TDMS) organization is a critical arm of Oracle FLEXCUBE consulting group. TDMS delivers Oracle Technology services for FSGBU product customer, while the applications team focusses on the application customization and setup. We are looking for a highly capable, self-motivated and independent Linux Administrators experts based in India. If you are passionate about Oracle technology as well as cloud computing, this is the ideal role you’ve been waiting for. Our team supports technology which are available both on-premise and on Cloud. The Admin needs to have deep technical domain expertise, and will work closely with the Solution Architect team to help craft the solution and then continue to collaborate with the customer on Key Responsibilities: Installing, configuring and maintaining Linux Servers / Virtualization. Installation and configuration of HA environment using Linux cluster or Veritas Cluster. Configuration and administration of LVM and Veritas logical volume manager. Strong background and understanding of Linux and scripting. Daily maintenance/administration of multiple Unix systems Strong technical problem solving skills and experience in IP networking and static routing FTPSSH, SMTP, DNS, HTTP/S, DHCP, Syslog logging facility. Installation, set up, configuration and maintenance of Java Application Servers, Apache Web Servers, Cisco Firewalls, and Database Servers Assists with Veritas Backups and recovery. Configuration and maintenance of the monitoring system Experience in a high availability and mission critical environment. Experience with Firewalls (IPTABLES/IPCHAINS) Experience with SNMP/Nagios based Monitoring Experience in visualization and network attached storage Solid verbal and written communication skills. Team player and ability to work independently and effectively under pressure in a high paced and energetic environment Strong understanding of TCPIP, UDP and Multicast traffic. Understanding of SAN and NAS storage. Experience in System Fault Tolerance Design, Business continuity and Disaster recovery planning. Performance Management & fine tuning. Patch and Package administration Extensive experience in kernel patching and firmware upgradation. Troubleshooting Hardware and Operating system related issue Able to handle most of basic to advanced calls in User, group management, system start-up, service modification, crontab entries, ACL modifications, file system management, root & OS backups Experience in Server Experience on following will be added advantage Samba, DNS, NIS, Send mail / Exim / Postfix / Qmail, LDAP Knowledge on Vulnerability remediation Understanding of Qualys Proactively monitoring the Server s health and taking preventive or corrective action as required. NIC bonding using bonding kernel module. Sound experience in Linux LVM, VxVM and Solaris SVM Skills Needed Experience with RHEL Systems Manager and Subscription Manager Experience with virtualization of RHEL servers on ESX Hands-on experience with Bash Scripting and writing automation scripts for Operational tasks Hands-on experience with scripting tools, Ansible, Satellite and other automation tools Experience on AIX or Solaris OS would be an added advantage Well versed with ITIL framework Career Level - IC2 RESPONSIBILITIES Technology Deployment and Management Service (TDMS) organization is a critical arm of Oracle FLEXCUBE consulting group. TDMS delivers Oracle Technology services for FSGBU product customer, while the applications team focusses on the application customization and setup. We are looking for a highly capable, self-motivated and independent Linux Administrators experts based in India. If you are passionate about Oracle technology as well as cloud computing, this is the ideal role you’ve been waiting for. Our team supports technology which are available both on-premise and on Cloud. The Admin needs to have deep technical domain expertise, and will work closely with the Solution Architect team to help craft the solution and then continue to collaborate with the customer on Key Responsibilities: Installing, configuring and maintaining Linux Servers / Virtualization. Installation and configuration of HA environment using Linux cluster or Veritas Cluster. Configuration and administration of LVM and Veritas logical volume manager. Strong background and understanding of Linux and scripting. Daily maintenance/administration of multiple Unix systems Strong technical problem solving skills and experience in IP networking and static routing FTPSSH, SMTP, DNS, HTTP/S, DHCP, Syslog logging facility. Installation, set up, configuration and maintenance of Java Application Servers, Apache Web Servers, Cisco Firewalls, and Database Servers Assists with Veritas Backups and recovery. Configuration and maintenance of the monitoring system Experience in a high availability and mission critical environment. Experience with Firewalls (IPTABLES/IPCHAINS) Experience with SNMP/Nagios based Monitoring Experience in visualization and network attached storage Solid verbal and written communication skills. Team player and ability to work independently and effectively under pressure in a high paced and energetic environment Strong understanding of TCPIP, UDP and Multicast traffic. Understanding of SAN and NAS storage. Experience in System Fault Tolerance Design, Business continuity and Disaster recovery planning. Performance Management & fine tuning. Patch and Package administration Extensive experience in kernel patching and firmware upgradation. Troubleshooting Hardware and Operating system related issue Able to handle most of basic to advanced calls in User, group management, system start-up, service modification, crontab entries, ACL modifications, file system management, root & OS backups Experience in Server Experience on following will be added advantage Samba, DNS, NIS, Send mail / Exim / Postfix / Qmail, LDAP Knowledge on Vulnerability remediation Understanding of Qualys Proactively monitoring the Server s health and taking preventive or corrective action as required. NIC bonding using bonding kernel module. Sound experience in Linux LVM, VxVM and Solaris SVM Skills Needed Experience with RHEL Systems Manager and Subscription Manager Experience with virtualization of RHEL servers on ESX Hands-on experience with Bash Scripting and writing automation scripts for Operational tasks Hands-on experience with scripting tools, Ansible, Satellite and other automation tools Experience on AIX or Solaris OS would be an added advantage Well versed with ITIL framework QUALIFICATIONS Career Level - IC2 ABOUT US As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT’s mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence. Job Description/Preferred Qualifications We are seeking for a Data Scientist/ML Engineer with experience in NLP, statistics, and Conversational AI. The ideal candidate is adept at using Statistical Modelling, Machine learning algorithms and Conversational AI. Strong experience using variety of data mining/ Machine Learning methods, using/coding algorithms and running simulations. The right candidate will have a passion for discovering solutions hidden in large data sets and working with business partners to improve business outcomes. Responsibilities for Data Scientist/ML Engineer: Building end-to-end ML systems (Including traditional ML models and Conversational AI) and deploying them to operate at scale. Research and devise innovative statistical models/ML models for data analysis Develop and maintain RAG (Retrieval-Augmented Generation) applications. Implement changes to algorithms to improve AI performance and retrieval techniques. Use predictive modeling to increase and optimize customer service experience and supply chain optimization. Identify patterns in data using statistical modeling, develop custom data models and algorithms to apply to data sets. Work with business partners throughout the organization to find opportunities for using company data to drive solutions. Working with project managers to establish objectives for AI systems. Minimum Qualifications Bachelor’s degree (or equivalent) in computer science, statistics, applied mathematics, or related discipline Experience solving problems with Conversational AI in a production environment for a High-tech Manufacturing Industry 2+ years of experience in Python and ML packages (NumPy, Keras, Seaborn, Scikit-learn). Excellent understanding of machine learning techniques and algorithms such as, Regression models, kNN, SVM,NB, Decision Trees. Expertise/Familiarity with one or more deep learning frameworks such as TensorFlow, PyTorch. We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees. KLA is proud to be an equal opportunity employer Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information. Show more Show less

Relocation Assistance Offered Within Country Job Number #163961 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. About Colgate-Palmolive Do you want to come to work with a smile and leave with one as well? In between those smiles, your day consists of working in a global organization, continually learning and collaborating, having stimulating discussions, and making impactful contributions! If this is how you see your career, Colgate is the place to be! Our diligent household brands, dedicated employees, and sustainability commitments make us a company passionate about building a future to smile about for our employees, consumers, and surrounding communities. The pride in our brand fuels a workplace that encourages creative thinking, champions experimentation, and promotes authenticity which has contributed to our enduring success. If you want to work for a company that lives by their values, then give your career a reason to smile...every single day. The Experience In today’s dynamic analytical / technological environment, it is an exciting time to be a part of the GLOBAL ANALYTICS team at Colgate. Our highly insight driven and innovative team is dedicated to driving growth for Colgate Palmolive in this constantly evolving landscape. What role will you play as a member of Colgate's Analytics team? The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in Colgate Palmolive is focused on working on cases which have big $ impact and scope for scalability. With clear focus on addressing the business questions, with recommended actions The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. Conceptualizes and builds predictive modelling, simulations, and optimization solutions for clear $ objectives and measured value The Data Scientist would work on a range of projects ranging across Revenue Growth Management, Market Effectiveness, Forecasting etc. Data Scientist needs to handle relationships independently with Business and to drive projects such as Price Promotion, Marketing Mix and Forecasting Who are you…? You are a function expert - Leads GLOBAL DATA SCIENCE & ADVANCED ANALYTICS within the Analytics Continuum Conceptualizes and builds predictive modelling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations Own Pricing and Promotion, Marketing Mix, Forecasting study from scoping to delivery Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL Present insights in an easy to interpret way to the business teams Develop visualization (e.g. Looker, PyDash, Flask, PlotLy) using large datasets Ready to work closely with business partners across geographies You connect the dots - Merge multiple data sources and build Statistical Models / Machine Learning models in Price and Promo Elasticity Modelling, Marketing Mix Modelling to derive actionable business insights and recommendation Assemble large, sophisticated data sets that meet functional / non-functional business requirements Build data and visualization tools for Business analytics to assist them in decision making You are a collaborator - Work closely with Division Analytics team leads Work with data and analytics specialists across functions to drive data solutions You are an innovator - Identify, design, and implement new algorithms, process improvements: while continuously automating processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Qualifications What you’ll need BE/BTECH [ Computer Science, Information Technology is preferred], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 5+ years of experience in building data models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc. Hands on experience on coding languages Python(mandatory), R, SQL, PySpark, SparkR Good Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build, Cloud Run. Knowledge of using GitHub, Airflow for coding and model executions and model deployment on cloud platforms Solid understanding on tools like Looker, Domo, Power BI and web apps framework using plotly, pydash, sql Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment What You’ll Need…(Preferred) Handling, redefining, and developing statistical models for RGM/Pricing and/or Marketing Effectiveness Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Working knowledge of consumer-packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Experience visualizing/communicating data for partners using: Tableau, DOMO, pydash, plotly, d3.js, ggplot2, pydash, R Shiny etc Willingness and ability to experiment with new tools and techniques Ability to maintain personal composure and thoughtfully handle difficult situations. Knowledge of Google products (Big Query, data studio, colab, Google Slides, Google Sheets etc) Knowledge of deployment of models in Cloud Environment using Airflow, Docker Ability to work with cross functional teams in IT, Data Architecture to build enterprise level Data Science products. Our Commitment to Diversity, Equity & Inclusion Achieving our purpose starts with our people — ensuring our workforce represents the people and communities we serve —and creating an environment where our people feel they belong; where we can be our authentic selves, feel treated with respect and have the support of leadership to impact the business in a meaningful way. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. Show more Show less

About Axis Max Life AI Works Axis Max Life Insurance, one of the leading life insurers and the largest non-bank owned private life insurer in India. The Company has more than 40 Lakh customers, 17,79,409 Crores of sum assured and presence with 304 offices in 140+ cities across India. Max Life is consistently ranked within top 50 on the ‘100 Best Companies to Work for in India’ list for last many years. ‘AI Works’ is a specialized unit within Max Life, to leverage data analytics, artificial intelligence and machine learning to solve complex business problems across the insurance value chain. We are looking for candidates who are enthusiastic for an exciting, fast-paced work environment and have a strong personal interest in learning and creating data driven insights and AI/ML solutions which make high business impact. As part of ‘AI Works’ team, you would focus on conceptualizing, developing and deploying Artificial Intelligence based solutions across life insurance value chain to support, sustain and enhance Max Life’s Business. Desired Qualification & Expertise 3 to 5 years of hands-on experience in AI, Machine Learning, Deep Learning Masters (MTech/ME/MSC) in Computer Science/Information Technology or other quantitative disciplines from Tier 1/ Tier 2 institutes (IIT, IIIT, NIT, BITS, or other premiere institutions) At-least one end to end deployment of supervised/unsupervised ML algorithms -Logistic Regression / kNN /KMeans/Random Forest / SVM/XG Boost/Naïve Bias/Time series / Generative AI models etc. Leveraging the available canned models APIs and using contextualizing and transfer learning approaches to build AI solutions Excellent programming skills in Python, PySpark is mandatory Hands-on experience on AWS ML Stack is preferred Experience in working with cloud infrastructure and high-performance computing (GPU/TPU) be a plus Role & Responsibilities Create AI solutions for business needs spanning across Life Insurance lifecycle and ensure their integration with business processes to ensure long term gains for the organization. Working with large data sets and bringing out insights from Data. Critical to connect the dots and develop the big picture Need to work across various teams and help ideate and build models, compare/ validate / QC models, monitor model performance and flag out performance deviation Explore new age AI techniques and apply those for solving business problems at MLI High attention to detail combined with an ability to work in a fast-paced environment with minimal guidance Work as a product owner and hold end to end responsibility for solutions How do you know that you are fit for this role? You have a AI & Analytics software product development mindset You have a hands-on experience across Machine Learning, Deep Learning, NLP and image matching algorithms using PySpark, Scikit-learn, and Tensor Flow etc. You have been part of a team developing AI-Machine Learning technologies with a strong background in advanced mathematical concepts and equally good understanding of algorithms. You can work with a lean team internally, and you are a self-starter. Show more Show less