399 Svm Jobs - Page 16

Job Summary The Professional Services Engineer (PSE) in our Global Services Solutions Centre provides post-sales technical expertise during the installation, implementation, migration and maintenance of company products This individual may be involved in implementing detailed customer installation requirements, as well as ensuring that clients needs have been met and that the product/solution is fully functioning according to specification The PSE provides follow-up support to company sales staff and customer personnel by disseminating technical information on specific applications, Job Requirements Requires high level understanding of the NetApp portfolio of products and advanced knowledge of ONTAP, Strong understanding of Storage protocols and technologies (CIFS, NFS, S3, iSCSI, Fibre Channel switching and networks) Proficient understanding of NetApp Storage concepts, related management tools and related Storage technologies (Snapshots, controller failover, provisioning, deduplication, cloning, SnapMirror, IntelliSnap, WORM ) including administration and troubleshooting, Intermediate knowledge of performance troubleshooting ( To identify and isolate layers performance related issues ) Data protection knowledge( SnapMirror , SVM-DR & SMBC), possessing the ability to manually create jobs and manage them, An advanced level knowledge of several migration related products/technologies such as 7MTT, FLI, XCP, Blue XP copy & sync, DataDobi, Robocopy, and secure copy/Storage-X to successfully complete configuration, execution and troubleshooting of migration jobs, Proficient with SAN and host-based migration methodology such as LVM, ASM, DAG, Storage-V-Motion Basic understanding of object dataset and unstructured data migration, Possess the ability to work at the direction of PMs, as well as often self-manage engagements to ensure customer engagements, Possess awareness of customer architecture and how it affects migration planning and execution Articulate in the end-to-end Migration solutions, with an emphasis on being customer centric and focused Capable of training customers in ad-hoc knowledge transfer as well as organized demonstrations or our methodologies Knowledge of StorageGRID and NetApp Cloud Ontap Products ( CVO, FSx, ANF & GCNV) is desirable, Able to lead and delegate different functions within a project to ensure customer success, Strong verbal and written communications skills are essential and are utilized in communicating with team members, systems administrators, and managers, Built and maintained strong relationships with internal and external stakeholders Ability to work collaboratively with other engineers and managers in a team environment to share best practices and meet aggressive goals and meet high quality standards, Ability to work well with customerstechnical representatives under a variety of circumstances to best understand and meet customer expectations, Positive, proactive, team-orientated attitude with a flexible and innovative approach to work Education Typically requires a minimum of 8 years of related experience with a bachelors degree, and preferably 10 years; or 6 years and a masters degree; or a PhD with relevant professional experience; or equivalent combination of professional education/training and applicable work experience, At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process, Equal Opportunity Employer NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification, Why NetApp We are all about helping customers turn challenges into business opportunity It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better but also to innovate We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches, We enable a healthy work-life balance Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life, If you want to help us build knowledge and solve big problems, let's talk,

Job Description: Position: Senior Technical Specialist – Data Science Location: Chennai Experience: 8+ Years Domain Expertise: AI/ML, Data Science, Cloud, DevOps, and MLOps Education: B.E. (ECE), MBA (Big Data Analytics). Job Summary: We are seeking an experienced Senior Technical Specialist - Data Science to lead AI/ML initiatives, design scalable data-driven solutions, and drive innovation. The ideal candidate will have strong expertise in AI/ML, data engineering, cloud technologies (Azure), and MLOps, with experience in managing teams and delivering AI-powered solutions for business challenges. Key Responsibilities: • Lead and mentor a team of Data Scientists to develop and deploy AI/ML models. • Architect end-to-end Machine Learning & AI solutions for complex business problems. • Design and implement Generative AI applications, including RAG-based chatbots using LLMs, LangChain, and Azure OpenAI. • Build, deploy, and monitor MLOps pipelines using MLFlow, Kubeflow, and Azure MLOps. • Develop predictive modeling, NLP applications, and deep learning frameworks using TensorFlow, PyTorch, and BERT. • Conduct data analysis and visualization using Power BI, Tableau, Matplotlib, and Streamlit. • Work with DevOps teams to automate ML workflows, optimize cloud infrastructure, and enhance model scalability. • Collaborate with business teams to define AI strategy, data-driven insights, and process improvements. • Research and implement the latest advancements in AI/ML to improve model accuracy and efficiency. Required Skills & Expertise: • Programming: Python, PowerShell, Bash, Perl • Machine Learning & Deep Learning: SVM, KNN, XGBoost, TensorFlow, PyTorch, LSTM • NLP & Generative AI: Spacy, BERT, LangChain, LlamaIndex, LLOps • Data Visualization: Tableau, Power BI, Matplotlib, Streamlit • Cloud & MLOps: Azure ML Studio, Azure OpenAI, Docker, Jenkins, GitHub, MLFlow, ClearML • Database & Big Data: MS-SQL, Data Preprocessing, Feature Engineering Preferred Qualifications: • Azure Data Scientist Certification • HackerRank Python & SQL Certification • Udacity NLP & Deep Learning Certifications Show more Show less

- 2+ years of sales experience - Experience analyzing data and best practices to assess performance drivers 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. Key job responsibilities Account Management 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.

- 2+ years of sales experience - Experience analyzing data and best practices to assess performance drivers 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. 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 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 Skills and 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 4+ 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

We are looking for an experienced Data Scientist with a strong background in Retail & E-commerce Analytics , particularly in integrating offline store data into analytics solutions. The ideal candidate will leverage General Analytics , AI/ML , and other advanced data science techniques to bridge the gap between online and offline retail data, enabling smarter business decisions and enhancing customer experiences across both channels. Responsibilities: Offline Store Data Analytics : Analyze and integrate offline store data (sales, foot traffic, inventory, etc.) with online data to provide a holistic view of customer behavior and sales trends. Use AI/ML models to optimize offline store performance by forecasting demand, inventory needs, and staffing levels based on historical data. Analyze the impact of offline marketing campaigns and promotions on in-store foot traffic and sales, using predictive analytics and machine learning. Develop models to predict store performance, taking into account various factors like location, weather, local events, and other external variables. Retail & E-commerce Analytics : Use machine learning algorithms and statistical analysis to understand and predict consumer behavior, both in-store and online. Build and maintain models for customer segmentation , personalized marketing , and sales forecasting for both e-commerce and brick-and-mortar stores. Identify key metrics for store performance and customer satisfaction, helping management teams optimize strategies for in-store and online experiences. AI/ML Implementation For Retail Optimization : Apply AI/ML techniques (e.g., classification , regression , clustering , time series forecasting ) to retail data, enabling actionable insights for improving product assortment, pricing, and promotions both online and offline. Develop demand forecasting models for offline stores , ensuring optimal stock levels based on predicted customer needs and sales trends. Use machine learning to enhance inventory management in offline stores by predicting inventory shortages and surplus. Data Integration & Visualization : Work with large datasets from both offline and online sources to clean, integrate, and analyze the data, ensuring data accuracy and consistency. Develop dashboards and visualizations using tools like Tableau , Power BI , or Google Data Studio to communicate key findings and business insights to stakeholders. Create reports that combine insights from offline and online channels, providing a unified view of retail operations. Campaign Performance Analysis : Use data science techniques to analyze the effectiveness of offline marketing campaigns and promotions on both in-store and online traffic, conversion rates, and sales. Evaluate customer engagement with offline campaigns, offering insights into how online and offline channels influence each other. Collaboration With Cross-Functional Teams : Work closely with retail managers, marketing teams, and IT teams to implement data-driven solutions that improve customer experience and business performance. Collaborate with product, marketing, and supply chain teams to optimize the omnichannel strategy , including aligning online and offline inventories and promotions. Key Technical Skills: Machine Learning & AI : Proficiency in Python or R for building and deploying AI/ML models such as random forests , XGBoost , SVM , and neural networks . Strong experience in applying predictive modeling , regression analysis , and time series forecasting to retail data, including demand forecasting and sales prediction. Familiarity with deep learning techniques (e.g., RNNs , LSTMs ) for more complex data patterns, if relevant. Retail & E-commerce Analytics : Experience in analyzing point-of-sale (POS) data , foot traffic data , and customer journey data for offline retail stores. Understanding of e-commerce KPIs and how they integrate with offline store performance metrics. Strong knowledge of inventory optimization , supply chain management , and how they relate to both online and offline retail operations. Big Data & Data Integration : Proficiency in handling and analyzing large datasets from multiple sources (online and offline) using SQL , NoSQL , and cloud platforms like AWS , GCP , or Azure . Ability to work with ETL processes to integrate data from multiple systems, ensuring high-quality data for analysis. Data Visualization & Reporting : Experience with Tableau , Power BI , Google Data Studio , or other visualization tools to present insights and actionable business recommendations. Strong communication skills to present complex findings to both technical and non-technical stakeholders. Statistical Analysis : Proficiency in statistical methods for hypothesis testing, segmentation analysis, and measuring the effectiveness of retail strategies and campaigns. Familiarity with advanced statistical techniques, including Bayesian methods , Monte Carlo simulations , and multivariate testing . Desired Qualifications: Bachelor’s or Master’s degree in Computer Science , Data Science , Statistics , Engineering , or a related field. 5+ years of experience in data science or analytics in the retail or e-commerce industry, with a focus on offline store performance . Proven experience in applying AI/ML models to solve real-world business problems, including demand forecasting, personalization, and campaign optimization. Familiarity with offline store data (sales, foot traffic, inventory) and how it integrates with e-commerce platforms . Strong understanding of the retail industry, particularly in optimizing performance across omnichannel environments (online and offline). 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Job Description Job Title: Analyst Data Science About us : With over 200 brands sold in nearly 180 countries, we’re the world’s leading premium drinks company. Bring your passion and use your curiosity as you explore, collaborate, and innovate to build brands consumers love. Together with passionate people from all over the world, you’ll test new ideas, learn and grow, and unlock a brighter, more exciting future. Join us to create a career worth celebrating. About the Function: Our Digital and Technology (D&T) team are innovators, delivering ground-breaking solutions that will help shape the future of our iconic brands. Technology touches every part of our business, from the sourcing of sustainable ingredients to marketing and development of our online platforms. We utilise data insights to build competitive advantage, supporting our people to deliver value faster. Our D&T team includes some of the most talented digital professionals in the industry. Every day, we come together to push boundaries and innovate, shaping the digital solutions of tomorrow. Whatever your passion, we’ll help you become the best you can be, creating career-defining work and delivering breakthrough thinking. About the role : Experience / skills required: 2 to 3 years of hands-on experience & knowledge in Data Science or Machine Learning Algorithms Hands on experience in solving various advanced analytics use cases such as segmentation, forecasting, optimization, key driver/causal analysis, recommendation systems, predictive modelling, etc. Both theoretical & hands on knowledge of application of different advanced analytics methodologies like: Clustering, Time Series Forecasting, Multivariate Regression and forecasting, Logistic Regression, Linear & Non-Linear Optimization, ML Models like Random Forest, GBM, SVM, etc. Strong language coding skills required in Python/pyspark. Knowledge & experience in SQL database & MLOps. Good to have knowledge in the areas of Product Assortment, Marketing Mix Modelling, Demand Forecasting etc. Good to have skills in Natural Language Processing, Big Data Analytics, etc. Good to have working knowledge in Azure/Azure Databricks, Alteryx, Dataiku, S3, Power shell scripting, Windows Batch scripting. Prior advanced analytics experience in CPG or Alcohol Beverage industry is a plus. Have a hands-on approach with a proven ability to work independently with minimal supervision to deliver results Diversity statement: Our purpose is to celebrate life, every day, everywhere. And creating an inclusive culture, where everyone feels valued and that they can belong, is a crucial part of this. We embrace diversity in the broadest possible sense. This means that you’ll be welcomed and celebrated for who you are just by being you. You’ll be part of and help build and champion an inclusive culture that celebrates people of different gender, ethnicity, ability, age, sexual orientation, social class, educational backgrounds, experiences, mindsets, and more. Our ambition is to create the best performing, most trusted and respected consumer products companies in the world. Join us and help transform our business as we take our brands to the next level and build new ones as part of shaping the next generation of celebrations for consumers around the world. Feel inspired? Then this may be the opportunity for you. If you require a reasonable adjustment, please ensure that you capture this information when you submit your application. Worker Type Regular Primary Location: Bangalore Karle Town SEZ Additional Locations : Job Posting Start Date 2025-01-03 Show more Show less

Experience: 4-7 Location: Pune Primary Skills: Machine Learning, NLP, Pandas, NumPy, SciPy, scikit-learn, NLTK Job Description: Strong background in machine learning (unsupervised and supervised techniques) with significant experience in text analytics/NLP. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc. Strong programming ability in Python with experience in the Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK, etc. Good knowledge of database query languages like SQL and experience with databases (PostgreSQL/MySQL/ Oracle/ MongoDB) Excellent verbal and written communication skills, Excellent analytical and problem-solving skills Degree in Computer Science, Engineering or relevant field is preferred. Proven Experience as Data Analyst or Data Scientist Good To Have: Familiarity with Hive, Pig and Scala. Experience with Data Visualization Tools like matplotlib, plotly, seaborn, ggplot, etc. Experience with using cloud technologies on AWS/ Microsoft Azure. Show more Show less

Summary Understand complex and critical business problems from Country/Regional/Global business functions, formulate integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to discover actionable insights and automate process for reducing effort and time for repeated use. High agility to be able to work across various business domains (commercial, NTO, GDD, NIBR, NBS) or divisions (Onco, GenMeds, Sandoz). Able to use business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact. No direct team management. About The Role Data Scientist I Location – Hyderabad Hybrid Major Accountabilities Work on a variety of business applications including but not limited to: Customer Segmentation & Targeting, Event Prediction, Propensity Modelling, Churn Modelling, Customer Lifetime Value Estimation, Forecasting, Recom-mender Systems, Modelling Response to Incentives, Marketing Mix Optimization, Price Optimization Develop automation for repeatedly refreshing analysis and generating insights Collaborates with globally dispersed internal stakeholders and cross-functional teams to solve critical business problems and deliver successfully on high visibility strategic initiatives Understand life science data sources including sales, contracting, promotions, social me-dia, patient claims and Real-World Evidence. Quickly learn the use of tools, data sources and analytical techniques needed to answer a wide range of critical business questions Articulate solutions/recommendations to business users. Works with senior data science team member to present analytical content concisely and effectively Manage own tasks and work with allied team members; plans proactively, anticipates and actively manages change, sets stakeholder expectations as required, identifies operational risks and independently drives issues to resolution, minimizes surprise escalations Independently identifies research articles and reproduce/apply methodology to Novartis business problems Has high learning agility and diligently follows updates in industry and area of work. Essential Requirements: Quality of insights generated, and solutions provided, with quantified business impact / ROI Effective communication with Country/Regional/Global stakeholders Executes agreed targets for self Define and execute development plans for potential Subject Matter Experts Find creative ways to build team capabilities and play a direct role in driving a culture of innovation Values and Behaviors: in line with leadership standards of Novartis Education: PhD or Masters (or bachelor’s from a top Tier University) in a quantitative discipline (e.g. Statistics, Economics, Mathematics, Computer Science, Bioinformatics, Ops Research, etc.)Experience: 7+ years of relevant experience in Data Science. In case of PhD, 4+ years post qualification experience. Experience in commercial pharma would be a bonus. Extensive experience required in: Statistical and Machine Learning techniques like Regression (esp., GLM, non-linear, etc.), Classification (CART, RF, SVM, GBM, etc.) Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting, Text Mining and Natural Language Processing Good to have skills: Stochastic models, Bayesian Models, Markov Chains, Dynamic Programming and Optimization techniques, Deep Learning techniques on structured and un-structured data, Recommender Systems (content and collaborative filtering), etc. Tools and Packages: SAS, R, Python, SQL. Exposure to dashboard or web-apps building using Qliksense, R-Shiny, Flask, etc. would be an added advantage. Why Novartis: Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards Commitment To Diversity And Inclusion Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Show more Show less

The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidate should have proficiency in Python, expertise in Entity extraction, document classification, Natural Language Processing (NLP) & Natural Language Generation (NLG). Experience of developing commonly used predictive models like - Linear Regression, Decision Trees, SVM. KNN, Gradient Boost, Random Forest etc. Proficiency in cloud platforms like GCP, including experience with deploying AI applications. Solid programming skills in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Proven track record of delivering successful Gen-AI projects and driving business impact. Strong understanding of text pre-processing & normalization techniques such as tokenization Excellent communication, presentation, and documentation skills. Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies. BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field 3+ years of experience in at least one of the following languages: Python, R 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms 1+ years of experience in developing LLM solutions for Enterprise Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database and Hadoop Ecosystem Excellent problem solving, communication, and data presentation skills Build data-driven models to understand the characteristics of engineering systems Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems Train, tune, validate, and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats Establish scalable, efficient, automated processes for large scale data analyses Package and Present the findings and communicate with large cross-functional teams

Relocation Assistance Offered Within Country Job Number #166101 - 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 dependable 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 The Global Data Science & Advanced Analytics team in Colgate Palmolive is focused on working on commercial business cases which have a revenue impact for the business with recommended actions and scope for scalability across markets. The role requires working with cross functional teams and leaders across Information Technology (UI/UX Front End, Back end, ML Ops), data architecture, data engineering, division analytics leads and business teams, The Global Data Science & Advanced Analytics team is structured with Analytics Leads, Data Science Leads, Data Scientists and Analytics Engineers to solve business questions, provide actionable insights and drive growth for the organization. The role will lead a team of Data Scientists to develop scalable enterprise solutions from scratch in the areas of Marketing and Media Effectiveness, Marketing Mix Models, Revenue Growth Management, Category Forecasting. The role requires an understanding of Internal & external data sources (Syndicated Market Data, Point of Sales, Nielsen, SAP, Retailer ePOS etc.) and the ability to work with large datasets to derive insights and recommendations. The candidate should have proven ability to write scalable codes in SQL, Python, R to build and deploy statistical models, machine learning models in production using Airflow, conceptualize algorithms to guide the team to achieve the business objectives and goals. Knowledge of working on cloud environments (Google Cloud, Snowflake) is crucial. The candidate should be an analytical problem solver and be proactive and responsive to Business needs Communication is a prime requisite along with storytelling to present complex model insights in simple business language to the stakeholders. Who Are You You are a Data Science Expert and Leader working on solving Business Questions and leading a high performing Data Science and Advanced Analytics team An expert coder to write codes in SQL, Python to build scalable enterprise level data science solutions in Marketing Mix Modelling and Revenue Growth Management and to address business problems requiring descriptive, diagnostic, predictive, and / or prescriptive analytics Ability to write codes to build Regression Models, Machine Learning Models [ Ridge, Lasso, Logistic Regression, Bayesian Regression, Random Forests, XGBOOST, Optimization, Simulation ] at scale and then deploy models in production on cloud platforms using Airflow Leading, Mentoring, Coaching data scientists on key technical and domain topics through solution and code reviews to meet business objectives End to end accountability of quality of recommendations, insights and data science solutions developed and deployed in the organization globally You can prioritize multiple work assignments multi-task conflicting priorities and meet deadlines Excellent written and verbal communication. Good facilitation and project management skills You connect the dots - Understands business needs, business questions and identifies the right analytics capabilities to solve them Presentation and Storytelling of model results, insights, recommendation and actions to Marketing and Customer Development (Sales) team and to Division/Global Analytics Leads Communicate complex quantitative insights in a precise, and actionable manner to business stakeholders You are a collaborator - Work with cross functional teams in GIT, Data Architecture, Analytics Engineering to drive the delivery and project management of large scale enterprise wide data science solutions Work collaboratively with the Division Analytics/Global Analytics team and business partners across geographies located in different time zones. You are an innovator - Drive new value from insights by connecting external and internal data sources Bring in enhancements to the existing data science solutions / capabilities by exploring new solutions and techniques Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, exploring new data sources, re-designing infrastructure for greater scalability, etc. Qualifications What you’ll need Bachelor degree required [ Master's or MBA preferred ] in data science, computer science engineering, Information Technology, other engineering streams, a related quantitative and technical (Statistics, Business Analytics, Econometrics) 8+ years of data science and analytics experience in developing and deploying machine learning algorithms in a production environment Experience in setting up or managing a data science team is a must [ 2+ years ] Expert knowledge in all the following domains Marketing Mix Modeling, Revenue Growth Management, Optimization Techniques, Forecasting, Recommendation Engines, Marketing Analytics in CPG or Consulting Companies Extraordinary coding skills in SQL, Python, PySpark, R to implement statistical and machine learning algorithms like Linear Regression, Ridge, Lasso, PyMc, Bayesian Methods, GLMNET, Decision Trees, Random Forests, XGBOOST, SVM etc Strong knowledge of MLOPS using docker, airflow, kubernetes, databricks, dataiku on any cloud platform Proficient in Cloud Platforms - Google Cloud, Snowflake and experience dealing with high-volume, high-dimensionality data from varying sources (Cloud Platforms, Nielsen, SAP, Retailer ePOS; both structured and unstructured data) Experience in supporting and working with multi-functional teams in a dynamic environment Proficient in Reporting Insights, making and delivering presentation via Excel, Google Sheets, Google Slides, DOMO and any other Visualization Tools Proven Ability to provide structure and think strategically in complex business context and operate effectively in ambiguity Ability to independently plan and execute deliveries and be comfortable in a client / business facing role Exceptional communication & collaboration skills to understand business partner needs & deliver solutions. What You’ll Need (Preferred) Experience in building web apps using Pydash, Plotly, R Shiny, Streamlit Experience in Deep Learning, Reinforcement Learning, Image Recognition, AI algorithms, GenAI Experience with Databricks, Docker, Azure Data Factory Experience with machine learning API on cloud services: Azure, AWS, Vertex AI 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

Principal Data Scientist - NAV02CM Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting May 8, 2025 Unposting Date Jun 7, 2025 Reporting Manager Title Head of Data Intelligence Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. Were bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. The Role As a Data Science Leadwith Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc. Conceptualise, build and manage AI/ML (more focus on unstructured data) platform by evaluating and selecting best in industry AI/ML tools and frameworks Drive and take ownership for developing cognitive solutions for internal stakeholders & external customers. Conduct research in various areas like Explainable AI, Image Segmentation,3D object detections and Statistical Methods Evaluate not only algorithms & models but also available tools & technologies in the market to maximize organizational spend. Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI/ML applications that scale from multi-user to enterprise class. Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations IT Skills & Experience Thorough understanding of complete AI/ML project life cycle to establish processes & provide guidance & expert support to the team. Expert knowledge of emerging technologies in Deep Learning and Reinforcement Learning Knowledge of MLOps process for efficient management of the AI/ML projects. Must have lead project execution with other data scientists/ engineers for large and complex data sets Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks Naive Bayes, SVM, and Decision Forests. Experience in the AI/ML components like Jupyter Hub, Zeppelin Notebook, Azure ML studio, Spark ML lib, TensorFlow, Tensor flow,Keras, Py-Torch and Sci-Kit Learn etc Strong knowledge of deep learning with special focus on CNN/R-CNN/LSTM/Encoder/Transformer architecture Hands-on experience with large networks like Inseption-Resnets,ResNeXT-50. Demonstrated capability using RNNS for text, speech data, generative models Working knowledge of NoSQL (GraphX/Neo4J), Document, Columnar and In-Memory database models Working knowledge of ETL tools and techniques, such as Talend,SAP BI Platform/SSIS or MapReduce etc. Experience in building KPI /storytelling dashboards on visualization tools like Tableau/Zoom data People Skills: Professional and open communication to all internal and external interfaces.Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing cultureStrong analytical skills. Industry Specific Experience: 10 -18 Years of experience of AI/ML project execution and AI/ML research Education Qualifications, Accreditation, Training Master or Doctroate degree Computer Science Engineering/Information Technology /Artificial Intelligence Moving forward together Were committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, theres a path for you here. And theres no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.

- 2+ years of sales experience - Experience analyzing data and best practices to assess performance drivers 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. 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.

We are looking for a passionate and skilled AI/ML Engineer with 1–3 years of hands-on experience in computer vision and conversational AI. The ideal candidate should have a strong foundation in machine learning, experience training custom object detection models (especially using YOLO), and working knowledge of OpenCV and AI/ML frameworks. Exposure to OpenAI's ChatGPT and chatbot development is essential. Any experience in AR/VR will be considered a plus. Key Responsibilities: Train and deploy custom object detection models using YOLO (v5/v7/v8 or YOLO-NAS) on custom datasets. Preprocess and annotate data for training using tools like Roboflow or CVAT. Implement and optimize object detection pipelines using OpenCV . Develop, fine-tune, and integrate AI chatbots using OpenAI's ChatGPT API or similar LLMs. Work with basic ML algorithms for classification, clustering, and regression tasks. Collaborate with cross-functional teams to design, test, and deploy AI solutions. Explore integration of AI solutions into AR/VR environments (basic knowledge sufficient). Maintain and improve model performance through continuous training and validation. Stay up-to-date with the latest trends and advancements in AI/ML. Required Skills: Strong understanding of YOLO object detection models and custom training pipelines. Proficiency in OpenCV for image processing and real-time applications. Experience with OpenAI's GPT models and chatbot development . Solid understanding of basic ML algorithms (e.g., decision trees, SVM, k-NN). Good programming skills in Python . Familiarity with AI/ML frameworks such as: TensorFlow PyTorch ONNX Runtime Scikit-learn Knowledge of tools like Roboflow, LabelImg, or FiftyOne. Git version control and experience working in agile environments. Preferred (Good to Have): Exposure to AR/VR technologies (Unity, Unreal, WebXR, etc.). Experience in deploying models to edge devices (e.g., Raspberry Pi , NVIDIA Jetson Job Types: Full-time, Permanent Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹30,000.00 per month Benefits: Flexible schedule Paid sick time Schedule: Day shift Monday to Friday Morning shift Experience: AI ML: 1 year (Required) Location: Mohali, Punjab (Required) Work Location: In person

Key Responsibilities: Leverage traditional machine learning techniques (decision trees, random forests, SVM, logistic regression) to build predictive models. Analyze complex datasets to identify key trends and provide data-driven insights for business decisions. Partner with cross-functional teams to understand business needs and translate them into effective ML solutions. Rigorously evaluate and optimize models for accuracy and real-world performance. Apply statistical and mathematical principles to enhance analytical outcomes. Communicate findings and model insights to both technical and non-technical stakeholders. Desired Skills and Qualifications: Deep understanding of traditional machine learning algorithms (decision trees, clustering, Naive Bayes, SVM, etc.). Strong proficiency in mathematics and statistics (linear algebra, probability, statistical inference). Proven ability to translate business problems into analytical frameworks and actionable insights. Expertise in data processing, cleaning, and feature engineering using Python (pandas, NumPy). Hands-on experience building and deploying ML models using Python and libraries like scikit-learn. Excellent analytical, problem-solving, and critical thinking skills. Strong communication and collaboration skills to effectively convey technical results. Familiarity with ML tools and frameworks (Scikit-learn, XGBoost, LightGBM). Experience with model evaluation, validation, and optimization techniques. Business acumen and the ability to apply ML to solve real-world business challenges. Preferred Qualifications: Bachelors or Masters degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field. 3+ years of experience as a Data Scientist with a focus on machine learning. Demonstrated experience in driving business decisions through data analysis and modeling. Familiarity with cloud platforms (AWS, Azure, GCP) for data science workflows.

Excellent opening for Sr. Data Science Engineer, please find below JD for reference. We are seeking an experienced Data Science Engineer with 5-7 years of experience to design and implement advanced AI/ML solutions. The role focuses on developing AI applications and developing cloud-native solutions. You will work on: We are looking for self-driven Data Professional to be a key member of our Data & AI Practice. We help many of our clients make sense of their large investments in data – be it building analytics solutions or machine learning applications or Generative AI based solution. You will work on cutting edge cloud-native technologies to build meaningful insights. Job Location: Pune What you will do (Responsibilities): Perform high-level work both independently and collaboratively as a project member or leader on multiple projects.Collaborate with Product Management team, elicit AI/ML use case specific requirements, explore and evaluate approachesOwn the end-end process, from recognizing the problem to implementing the solutionDevelop Computer Vision, NLP, Machine learning, Deep Learning, Gen AI based applications & demos according to the requirements and needs.Select appropriate datasets and data representation methods.Explore new tools, technologies, frameworks in ML, DL, Gen AI technologies and experiments.Keep abreast of developments in the field.Mentor, guide junior team members What you bring (Skills):5-7 years of end to end project lifecycle experience (Analysis, Design, Development, Testing, Deployment & Monitoring) in building enterprise grade AI applicationsSound knowledge in Linear Algebra, Statistics, ProbabilityStrong Knowledge & Experience in Python and Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK etc.Experience in various ML Algorithms (like KNN, SVM, Regression, Decision Trees, K-Means, Naive Bayes, GBM and Decision Forests etc)Familiarity with deep learning, machine learning and NLP/NLG frameworks (like Keras, TensorFlow or PyTorch etc.), HuggingFace Transformers and libraries (like scikit-learn, spacy, CoreNLP etc.)Proficiency in designing, training, and deploying deep learning models for computer vision tasks.Experience with image processing, filtering, object detection frameworks (e.g., YOLO, Faster R-CNN, Mask R-CNN), image segmentation techniques (semantic, instance, panoptic), and image classification.Experience in Generative AI /LLM’s frameworks, tools & technologiesExperience in Prompt Engineering & Langchain / LlamaIndex, Vector search, RAG frameworks, Function Calling, Agentic Frameworks, Document ProcessingExperience in Cloud-based services such as AWS (Primary), Azure or GCPUnderstanding of how to operationalize these models to run in an automated contextStrong development experience using Python and SQL (including DB Design & Complex query optimizations).Experience with async programming and RESTful APIs (FastAPI)Sound understanding of CI-CD, Containerization & OrchestrationExcellent analytical, problem solving and communication skills Great if you know (Skills):Experience with Scrum and/or other Agile development processesExposure to MlOps, LLMOps – model and experiment versioning, hyper parameter tuning, model deployment and monitoring aspectsSound understanding of data visualization aspectsAbility to lead R&D and POC efforts . Experience in pre-sales is desirable.A track record of delivery within a number of large-scale projects, demonstrating ownership of architecture solutions and managing changeExperience in manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources Advantage Cognologix:A higher degree of autonomy, startup culture & small teamsOpportunities to become an expert in emerging technologiesRemote working options for the right maturity levelCompetitive salary & family benefitsPerformance based career advancement About Cognologix:Cognologix helps companies disrupt by reimagining their business models and innovate like a Startup. We are at the forefront of digital disruption and take a business-first approach to help meet our client’s strategic goals.We are a Data focused organization helping our clients to deliver their next generation of products in the most efficient, modern, and cloud-native way.

Infosys Consulting, the management consulting business of Infosys, is looking to hire Data Scientists. You should have between 2 to 10 years of Data Science experience. Successful candidates will be part of a specialized customer-facing AI Labs team in our rapidly expanding Automation & Artificial Intelligence Consulting Practice. They will work closely with our AI Consultants and SMEs to define and deliver best-in-class solutions. You will be entrepreneurial, inspired by execution excellence, possess strong design skills creating client deliverables and bid documents, highly analytical, emotionally intelligent, a team player, and only satisfied when your work has a meaningful impact. You will help our clients identify and qualify opportunities to leverage automation to unlock business value and maintain a competitive edge. Infosys Consulting offers exceptional opportunity for personal growth, and, alongside client engagements, you will be recognized for your personal contribution to leading and developing new opportunities, developing thought leadership and service offerings in the domains of artificial intelligence and automation. Responsibilities:You will need to be well spoken and have an easy time establishing productive long lasting working relationships with a large variety of stakeholdersTake the lead on data pipeline design with strong analytical skills and a keen eye for detail to really understand and tackle the challenges businesses are facingYou will be confronted with a large variety of Data Science tools and other new technologies as well with a wide variety of IT, compliance, security related issues.Design and develop world-class technology solutions to solve business problems across multiple client engagements.Collaborate with other teams to understand business requirements, client infrastructure, platforms and overall strategy to ensure seamless transitions.Work closely with AI and A global team and with our Fortune 500 clients to build world-class solutions and to define AI strategy.You will possess strong logical structuring and problem-solving skills with expert level understanding of database and have an inherent desire to turn data into actions.Strong verbal, written and presentation skillsAs a Data Scientist, you will need to have strong programming skills and strong understanding of data science and Machine Learning tools.You will be working on high impact initiatives with other Data Scientists across the globe Requirements:Bachelor's or master’s degree/PhD in Statistics, computer science, information technology, or a similar field.Solid understanding in Statistics, e.g., hypothesis formulation, hypothesis testing, descriptive analysis and data exploration.Expert level experience in Python or R.Strong experience in machine learning algorithms like o Linear/Logistic regression, o Random Forest, o SVM, o Neural Networks, o Deep Learning – CNN, RNN, LSTMExposure to NLP and Computer vision use cases.In-depth knowledge of neural networks and architecturesFamiliarity with the latest DL architectures.Toolkits/Frameworks/Libraries - Pytorch, TF/Keras, Scikit-Learn, BERTExperience in Machine Learning Lifecycle – Data Processing, Algorithm Benchmarking, ValidationExposure to build an AI model from scratchExposure to Graph based databases is a plus.Experience with relational databases.

We're Hiring! Our Client, one of the leading global financial services firms providing a wide range of investment banking, securities, investment management and wealth management services. The ideal candidate will be familiar with the full software design life cycle. Python developer:Years of Experience : 5+ yearsLocation - ChennaiJoining : Only immediate joiner to Serving Notice Technical & Behavioral Competencies:Very good expertise on Python development and Django frameworkTeam player who promotes communication between stakeholders5+ years of experience in Banking IT, with a good understanding of the Corporate and Institutional Banking activity.Expertise in Oracle database and SQL programmingProficiency in writing Python programmingGood knowledge of ETL design and development using Python data frames and Data lake concepts.Working experience on PySparkStrong problem-solving skillsExcellent communication and collaboration skillsAbility to work independently and as part of a teamExperience in implementing DevOps practicesExperience with data modeling and database designImplementation knowledge in EDA, Machine learning (models as linear regression, logistic regression/classification, KNN, SVM etc.), Deep learning (NLP, Computer vision, GAN, Neural networks), Reinforcement learning, Statistical learning, MLOpsKnowledge of data visualizationStay up-to-date with emerging trends and technologies in data engineering and recommend new tools and techniques to improve our data infrastructureGood knowledge on ELK, Scala programming, Kubernetes/Docker. Interested professionals kindly forward your updated CV to below mentioned email id Thanks and Regards,Sarulatha LSenior Executive - Talent AcquisitionTeamware Solutions a divisionof Quantum Leap Consulting Pvt Ltd.ChennaiE: sarulatha.l@twsol.com

Position: AI Technical LeadExperience Required: 5+ YearsCompany: Academian (EdTech Domain)About UsAcademian is a leading EdTech company developing innovative software solutions. We focus on enhancing education through technology, delivering impactful learning experiences, and shaping the future of education with AI-driven solutions.Role OverviewWe are seeking an experienced AI Technical Lead to spearhead the development and deployment of cutting-edge AI solutions. The ideal candidate will possess a strong foundation in AI algorithms, hands-on expertise with machine learning and deep learning frameworks, and a forward-thinking approach to leveraging emerging AI technologies like AGENTIC AI, RAG, Graph Databases, and open-source LLMs. This role also involves guiding the team to deliver scalable, efficient, and impactful AI products aligned with the EdTech domain.Key ResponsibilitiesAI Model Development:Design, train, and deploy AI models for diverse use cases, including:Computer Vision: Image recognition, object detection, segmentation etc.Natural Language Processing (NLP): Text classification, summarization, question-answering systems etc.Generative AI: Fine-tuning and deploying open-source large language models (LLMs) and Private Models.RAG (Retrieval-Augmented Generation): Implement AI systems combining retrieval with generative models.Optimize AI models for performance, scalability, and accuracy using core algorithms (regression, KNN, SVM, etc.).Open-Source LLM Development:Develop and fine-tune open-source LLMs to cater to domain-specific needs.Deploy open-source LLMs effectively in production environments, ensuring scalability and low latency.Explore and implement open-source tools and frameworks like Hugging Face, LangChain, and Transformer libraries.Integration & Architecture:Integrate AI solutions with Vector/Graph db for advanced data relationships and queries.Implement and manage MLOps/LLMOps pipelines for efficient deployment, monitoring, and scaling of AI models.Leadership:Mentor and guide junior engineers, fostering innovation and skill development.Collaborate with cross-functional teams, including product management, data engineering, and software development, to align AI strategies with business goals.Infrastructure:Leverage cloud AI platforms (AWS SageMaker, Google Vertex AI, Azure AI) for scalable solutions.Adopt open-source frameworks and tools (e.g., TensorFlow, PyTorch, Hugging Face) for experimentation and development.Best Practices:Establish robust practices for coding, testing, and documenting AI solutions.Stay at the forefront of AI research and emerging trends like AGENTIC AI, RAG, and open-source LLM development.RequirementsExperience5+ years of experience in AI/ML, with at least 2 years in a technical lead role.Proven expertise in designing and deploying AI solutions in production environments.Technical SkillsStrong proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).Hands-on experience with tools like Hugging Face, OpenAI API, and Google AI tools.In-depth understanding of core ML algorithms (regression, KNN, clustering, etc.) and deep learning models.Familiarity with open-source LLM development and deployment Experience with RAG architectures, Graph Databases, and LLMOps practices.Expertise in CI/CD pipelines, containerization (Docker, Kubernetes), and cloud AI platforms (AWS, Google Cloud, Azure).Domain KnowledgeFamiliarity with EdTech standards (LTI, xAPI, QTI) and adaptive learning systems is a strong plus.Soft SkillsExceptional leadership and team mentoring abilities.Strong problem-solving skills and excellent communication for technical and non-technical stakeholders.EducationBachelor’s or Master’s degree in Computer Science, AI, Data Science, or related fields. Why Join Us:Opportunity to lead AI initiatives that shape the future of education technology.Work in a collaborative, mission-driven environment with a focus on innovation.Engage with impactful projects and cutting-edge AI technologies.Competitive salary, benefits, and opportunities for professional growth.

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.

- 2+ years of sales experience - Experience analyzing data and best practices to assess performance drivers 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. 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.

At Talkdesk, we are courageous innovators focused on redefining the customer experience, making the impossible possible for companies globally. We champion an inclusive and diverse culture representative of the communities in which we live and serve. And, we give back to our community by volunteering our time, supporting non-profits, and minimizing our global footprint. Each day, thousands of employees, customers, and partners all over the world trust Talkdesk to deliver a better way to great experiences. We are recognized as a cloud contact center leader by many of the most influential research organizations, including Gartner and Forrester. With $498 million in total funding, a valuation of more than $10 Billion, and a ranking of #16 on the Forbes Cloud 100 list, now is the time to be part of the Talkdesk legacy to help accelerate our success in a new decade of transformational growth. At Talkdesk, we embrace FAST, our fundamental operating principles that define who we are as an organization. These principles drive us to make the impossible possible. FAST: Focus + Accountability + Speed = Talkdesker. Focus: Focus time, energy and attention on what is most impactful for the business and thoughtful about how and when to partner with others. Accountability: Hold self and others accountable to meet commitments and drive results. Accept responsibility for successes and failures. Speed: Execute with agility and urgency. Act promptly, decisively, and without delay. Make good and timely decisions that keep the organization moving forward. Talkdesker: YOU! What are we doing? At Talkdesk we are reimagining how people experience contact centers, helping our customers create long lasting and meaningful relations with their customers. The capacity to make sense of the message that is being conveyed when we communicate has been reserved to humans alone, but we are building the next generation of solutions that will mimic our ability to understand language, ensuring that the customer needs are always well understood and efficiently handled. We are a growing team of curious and talented people that are focused on leveraging the power of Generative AI, Speech Recognition, NLP and predictive ML to deliver added value to our customers. What do we need? We focus on Applied AI research and engineering to bridge the gap between AI capabilities and Talkdesk products. We're looking for AI scientists who geek out on solving business problems and impacting millions of people's daily lives. We need someone that is a natural problem solver, who likes to be challenged, has the drive to explore, and is committed to quality. We expect you to be a team player, reliable, and easy to communicate with. You will have to leverage different AI modeling techniques to deliver state of the art solutions around natural language understanding and generation. More specifically, you will have to: Focus on delivering working and robust products/models to production. Explore, clean, and transform large datasets of unstructured data; Apply, combine, and fine-tune different predictive and LMM models to achieve optimal and accurate results; Build pipelines that provide observability, metrics-driven monitoring of AI solutions and safe AI in the wild; What are we looking for? 8 -12 yrs industry experience post BS or MS in the areas of Science, Engineer or Statistics Hands-on experience with generative language models (including prompt engineering, fine-tuning, and monitoring) and related frameworks (e.g., LangChain, LlamaIndex, NeMo) Data curation and application of PEFT approaches for tuning open source LLMs Knowledge and experience building guardrails for GenAI applications Relevant experience with developing production-grade NLP/Speech tasks. Familiarity with optimizing LLMs and model serving at scale Familiarity with supervised and unsupervised machine learning algorithms (e.g., neural networks, SVM, decision trees, clustering) Comfortable with SDLC and working in planned and predictable development iterations Fluency in Python and familiarity with Java or Scala #LI- Hybrid Work Environment and Physical Requirements: Primarily office-environment work, extended periods of sitting or standing, computer-based work. Limited lifting, and equipment usage limited to computer-related equipment (keyboards, mouse, etc.) The Talkdesk story hinges on empathy and acceptance. It is the shared goal among all Talkdeskers to empower a new kind of customer hero through our innovative software solution, and we firmly believe that the best path to success for our mission is inclusivity, diversity, and genuine acceptance. To that end, we will hire, promote, work along, cheer for, bond with, and warmly welcome into the Talkdesk family all persons without regard to ethnic and racial identity, indigenous heritage, national origin, religion, gender, gender identity, gender expression, sexual orientation, age, disability, marital status, veteran status, genetic information, or any other legally protected status.

What You'll be doing: Locate, extract, manipulate, and organize data from operational source systems in support of analytic tool development (SQL, Python, Linux and Ansible)Create and manage SQL Server entities for use in Data Science modeling and reportingProficient usage of SQL data sources and database management like Hadoop, Oracle, and SQL serversPartner with varying levels of operations and resource management leadership to understand challenges, goals, and pain points, designing analytic solutions to address themBuild processes supporting data transformation, data structures, metadata, dependency and workload managementHelp develop and maintain code standards and repositories Requirements: 5 - 10 years' building and optimizing ‘big data’ data pipelines, architectures and data setsStrong SQL expertiseExperience working with Python and Linux.Experience working with AWS and Databricks. Understanding and experience with Natural Language Processing concepts including sentiment analysis, lexicon design, text summarization, aspect mining, topic modeling, etc.Understanding and experience with leading supervised and unsupervised machine learning methods such as Multiple Regression, Logistic Regression, Neural Networks, Deep Learning, KNN, Naive Bayes, SVM, Decision Trees, Random Forest, Gradient Boosting, and Ensemble methodsExperience with Git (or equivalent)Solution design and troubleshooting skillsAbility to extrapolate data into information to drive process improvementsAbility to quickly learn how to use new software applicationsComfortable working in projects with varying levels of ambiguity, complexity, uncertainty, and change

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. The Role As a Data Science Lead with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc…. Conceptualise, build and manage AI/ML (more focus on unstructured data) platform by evaluating and selecting best in industry AI/ML tools and frameworks Drive and take ownership for developing cognitive solutions for internal stakeholders & external customers. Conduct research in various areas like Explainable AI, Image Segmentation,3D object detections and Statistical Methods Evaluate not only algorithms & models but also available tools & technologies in the market to maximize organizational spend. Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI/ML applications that scale from multi-user to enterprise class. Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations IT Skills & Experience Thorough understanding of complete AI/ML project life cycle to establish processes & provide guidance & expert support to the team. Expert knowledge of emerging technologies in Deep Learning and Reinforcement Learning Knowledge of MLOps process for efficient management of the AI/ML projects. Must have lead project execution with other data scientists/ engineers for large and complex data sets Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks Naive Bayes, SVM, and Decision Forests. Experience in the AI/ML components like Jupyter Hub, Zeppelin Notebook, Azure ML studio, Spark ML lib, TensorFlow, Tensor flow,Keras, Py-Torch and Sci-Kit Learn etc Strong knowledge of deep learning with special focus on CNN/R-CNN/LSTM/Encoder/Transformer architecture Hands-on experience with large networks like Inseption-Resnets,ResNeXT-50. Demonstrated capability using RNNS for text, speech data, generative models Working knowledge of NoSQL (GraphX/Neo4J), Document, Columnar and In-Memory database models Working knowledge of ETL tools and techniques, such as Talend,SAP BI Platform/SSIS or MapReduce etc. Experience in building KPI /storytelling dashboards on visualization tools like Tableau/Zoom data People Skills Professional and open communication to all internal and external interfaces. Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Strong analytical skills. Industry Specific Experience 10 -18 Years of experience of AI/ML project execution and AI/ML research Education – Qualifications, Accreditation, Training Master or Doctroate degree Computer Science Engineering/Information Technology /Artificial Intelligence Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence