347 Text Mining Jobs - Page 2

As a Data Science Associate Consultant at ZS, you will design, develop, and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets to help clients make better fact-based decisions. Your responsibilities will include staying updated with the latest developments in Deep Learning and AI research, implementing and fine-tuning advanced models in deep learning, collaborating with cross-functional teams to develop and deploy machine learning models in production, contributing to research projects advancing AI and machine learning, and integrating engineering principles into data science workflows. You will be expected to have a Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute, along with 4-7 years of Data Science experience. Proficiency in generative AI, deep learning, statistical techniques, and programming languages such as Java/Python/R is required. Additionally, you should have knowledge of big data/advanced analytics concepts and algorithms, excellent oral and written communication skills, strong attention to detail, critical thinking, problem-solving skills, motivation, work ethic, and maturity. Exposure to Generative AI is a plus. ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. The company is committed to providing employees with a flexible and connected way of working, allowing a combination of work from home and on-site presence at clients/ZS offices. Travel may be required based on the business needs of your project and client, providing opportunities for professional growth and diverse experiences. ZS is focused on building a diverse and inclusive company where individuals from all backgrounds can bring their passions to inspire life-changing impact. The company encourages candidates to apply even if they do not meet all the requirements listed. ZS is an equal opportunity employer committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. Candidates interested in applying must possess or be able to obtain work authorization for their intended country of employment. An online application, including a full set of transcripts, is required to be considered. More information can be found at www.zs.com.,

upstox is looking for Data Science Intern to join our dynamic team and embark on a rewarding career journey Assist in data science projects and activities Conduct data analysis and visualization Develop and implement data science models and algorithms Monitor and report on data science performance metrics Collaborate with data science teams to optimize operations Gain practical experience in data science

Summary of the Role: As a Research Engineer, AI at TR, you will be responsible for building AI systems. We are looking for people with solid engineering skills, system engineering and a focus on outcome-driven work ethics. About You: You are a great fit for this role, if you Have strong programming skills in Python Have experience building Agentic Systems Are excited by research and development in the space of Agentic Systems Have prior experience building for Content Have experience building high-performance implementation of AI/ML based solutions About the Role Explores emerging technology and how it can be applied to solve complex, non-trivial problems Responsible for whole components or subsystems including the design and development May direct the efforts of others during design and implementation Implement algorithms and develop systems for information retrieval, machine learning, information extraction, text categorization, text mining, or related areas in the context of large online delivery environments. Create processing pipelines Extract and transforming data Design and Implement end to end AI based solutions, following standard industry practices for software development lifecycle Work with research scientists to Implement methodologies to evaluate model performance Work with other software teams to help Design required integration with other IT systems for the end-to-end ML solutions Integrating and testing research code Building control logic and workflows that realize the end to end AI-based solution Testing and packaging solutions for delivery What s in it For You Hybrid Work Model: We ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here . Learn more on how to protect yourself from fraudulent job postings here . More information about Thomson Reuters can be found on thomsonreuters.com.

Company: Oliver Wyman Description: Oliver Wyman DNA team is now looking to hire a Lead Data Analytics Specialist based in our Hyderabad office. OW DNA Overview The Oliver Wyman DNA is a distinguished center of excellence for business analytics and data analytics within Oliver Wyman. This group leverages data and information to provide business insights to Oliver Wyman consulting teams driving positive outcomes and tangible impact for Oliver Wymans clients. The group combines cutting edge data science expertise with core consulting expertise to augment engagement teams with analytical firepower to deliver outstanding results. Key Responsibilities: Serve as the primary analytical resource for client teams, building trusted relationships with key stakeholders. Collaborate with senior team members to identify risks and growth opportunities, utilizing analytical insights for client benefit. Extract and manipulate data from various sources using SQL and Python for business intelligence reporting. Engage with stakeholders to understand reporting needs and align KPIs with strategic objectives. Coordinate with stakeholders to collect, clean, and validate datasets, ensuring data integrity through coding techniques. Develop and implement data models in SQL and Python to uncover trends and enhance business performance insights. Conduct in-depth analyses with SQL and Python to provide actionable insights for client decision-making. Maintain and optimize BI reports through coding improvements to ensure accuracy and relevance. Stay updated on market trends and best practices in data analytics to enhance service offerings and quality standards. Mentor junior team members in analytical coding practices, fostering a collaborative learning environment. Education: Bachelors degree in science, Finance, Mathematics, Economics or equivalent. MS or Certificate courses in analytics preferred Experience: Over 4+ years of experience in data analytics, focused on SQL and Python coding. Proficient in data analytics tools such as SQL and Python, with a solid track record of managing complex analytical projects Strong analytical and problem-solving skills, delivering actionable insights through data modelling and analysis Excellent client-facing abilities, building relationships with senior stakeholders and influencing decision-makers. Strong written and verbal communication skills, effectively engaging with stakeholders at all levels. Adaptive learner with the ability to rapidly adopt new tools and platforms, including knowledge of Gen AI Entrepreneurial mindset with a collaborative approach to problem-solving and a commitment to mentoring and developing talent. Familiarity with creating visualizations in Power BI and Tableau is a plus. Oliver Wyman, a business of Marsh McLennan (NYSEMMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Strong proficiency in Python.Experience with Large Language Models.Familiarity with machine learning and artificial intelligence.Experience with Google cloud platform. Required Candidate profile Desired Skills:Python, Artificial Intelligence, Machine learning, GCP Position Name: Data Scientist Client Name:Renault Work Location: Chennai Mode of Work : Hybrid

Key Responsibilities:Develop and optimize generative AI models using state-of-the-art architectures such as transformers, GANs, VAEs, or diffusion models.Fine-tune pre-trained large language models and multimodal models for specific business use cases.Design scalable and efficient AI pipelines for training, inference, and deployment in production environments.Collaborate with cross-functional teams including data scientists, ML engineers, product managers, and software developers to integrate generative AI capabilities into products.Implement techniques for prompt engineering, data augmentation, and model evaluation.Stay up to date with the latest research and advancements in generative AI and apply them to real-world problems.Troubleshoot model performance issues and improve accuracy, reliability, and latency.Write clean, maintainable code and contribute to AI/ML infrastructure and tooling.

such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation. Join crossfunctional teams to design, develop, deploy, and finetune generative AI systems , including LLMs, retrievalaugmented generation (RAG), and AI agents Build and maintain scalable, secure backend services commonly using Python and frameworks such as FastAPI

As a Senior Data Scientist at Mondelz International, you will play a crucial role in supporting the business by deriving valuable insights from data and effectively communicating your findings to various stakeholders. Your primary responsibilities will involve analyzing data using mathematical, statistical, and machine learning techniques to create actionable insights that drive data-driven decision making within the organization. Your key contributions will include formulating hypotheses, testing them through statistical modeling, and identifying trends or patterns that can be used to develop custom models or prototypes. You will collaborate with cross-functional teams to implement these models, monitor their performance, and ensure data accuracy throughout the process. In addition to your quantitative skillset and experience in statistics, you will leverage your knowledge of statistical programming languages such as R, Python, and SQL to process and gain insights from data. Your expertise in machine learning techniques, advanced statistical concepts, and data mining will be essential in developing analytics models that support decision-making processes. Furthermore, you will be responsible for exploring and experimenting with data visualization tools to effectively showcase data to stakeholders. Your ability to evaluate the need for analytics, select appropriate techniques, and generate valuable insights will be critical in driving innovation and maximizing value within the Data & Analytics function. As a strategic advisor, you will lead data science engagements, shape the organization's data science capabilities, and define internal standards for application development. Your role will involve designing enterprise-level data science applications, recommending suitable tools and technologies, and promoting responsible AI adoption within the organization. In summary, as a Senior Data Scientist at Mondelz International, you will be at the forefront of data-driven decision making, leading data science projects from concept to deployment, and driving innovation through the application of advanced analytics techniques. If you are ready to contribute your expertise and accelerate your career in the field of data science, we invite you to join our mission to lead the future of snacking at Mondelz International.,

Location: Pune Designation: Senior Consultant Entity: Deloitte Touche Tohmatsu India LLP Your potential, unleashed. India s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. The Team Today s business challenges present a new wave of HR, talent and organization priorities. Deloitte s Human Capital services leverage research, analytics, and industry insights to help design and execute critical programs from business driven HR to innovative talent, leadership, and change programs. Learn more about Human Capital Practice Work you ll do Design, develop, and implement employee feedback surveys using the Qualtrics platform, with a focus on leveraging AI analytics and Text iQ for advanced sentiment analysis and text mining. Collaborate with HR and other stakeholders to understand organizational goals and objectives related to employee experience, and translate these into survey questions and methodologies. Utilize AI analytics to analyze survey results and extract meaningful insights to drive improvements in the employee experience. Create visually compelling and informative dashboards using Qualtrics to present survey data and insights to key stakeholders. Provide expertise in Text iQ to uncover trends and sentiment within open-ended employee feedback responses Qualifications: Educational qualification: BE/B.Tech/MCA Experience : 3+ years Mandatory/requires Skills : Minimum of one year of experience in a Qualtrics EX role, with a focus on AI analytics and Text iQ. Proficiency in creating and customizing dashboards within the Qualtrics platform. Strong understanding of AI analytics and its application to employee feedback data. Excellent communication and presentation skills, with the ability to convey complex data insights in a clear and actionable manner. Proven ability to work collaboratively with cross-functional teams and stakeholders to drive organizational change based on employee feedback Preferred Skills : Qualtrics EX role, with a focus on AI analytics and Text iQ. Location and way of working Base location: PAN India This profile involves frequent / occasional travelling to client locations OR this profile does not involve extensive travel for work. Hybrid is our default way of working. Each domain has customised the hybrid approach to their unique needs. Your role as a Senior Consultant We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society. In addition to living our purpose, Senior Consultant across our organization must strive to be: Inspiring - Leading with integrity to build inclusion and motivation Committed to creating purpose - Creating a sense of vision and purpose Agile - Achieving high-quality results through collaboration and Team unity Skilled at building diverse capability - Developing diverse capabilities for the future Persuasive / Influencing - Persuading and influencing stakeholders Collaborating - Partnering to build new solutions Delivering value - Showing commercial acumen Committed to expanding business - Leveraging new business opportunities Analytical Acumen - Leveraging data to recommend impactful approach and solutions through the power of analysis and visualization Effective communication Must be well abled to have well-structured and well-articulated conversations to achieve win-win possibilities Engagement Management / Delivery Excellence - Effectively managing engagement(s) to ensure timely and proactive execution as well as course correction for the success of engagement(s) Managing change - Responding to changing environment with resilience Managing Quality & Risk - Delivering high quality results and mitigating risks with utmost integrity and precision Strategic Thinking & Problem Solving - Applying strategic mindset to solve business issues and complex problems Tech Savvy - Leveraging ethical technology practices to deliver high impact for clients and for Deloitte Empathetic leadership and inclusivity - creating a safe and thriving environment where everyones valued for who they are, use empathy to understand others to adapt our behaviours and attitudes to become more inclusive. How you ll grow Connect for impact Our exceptional team of professionals across the globe are solving some of the world s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report . Empower to lead You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership. Inclusion for all At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters. Drive your career At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte. Everyone s welcome entrust your happiness to us Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here s a glimpse of things that are in store for you. Interview tips We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you re applying to. Check out recruiting tips from Deloitte professionals.

Location: Bengaluru Designation: Senior Consultant Entity: Deloitte Touche Tohmatsu India LLP Your potential, unleashed. India s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. The Team Today s business challenges present a new wave of HR, talent and organization priorities. Deloitte s Human Capital services leverage research, analytics, and industry insights to help design and execute critical programs from business driven HR to innovative talent, leadership, and change programs. Learn more about Human Capital Practice Work you ll do Design, develop, and implement employee feedback surveys using the Qualtrics platform, with a focus on leveraging AI analytics and Text iQ for advanced sentiment analysis and text mining. Collaborate with HR and other stakeholders to understand organizational goals and objectives related to employee experience, and translate these into survey questions and methodologies. Utilize AI analytics to analyze survey results and extract meaningful insights to drive improvements in the employee experience. Create visually compelling and informative dashboards using Qualtrics to present survey data and insights to key stakeholders. Provide expertise in Text iQ to uncover trends and sentiment within open-ended employee feedback responses Qualifications: Educational qualification: BE/B.Tech/MCA Experience : 3+ years Mandatory/requires Skills : Minimum of one year of experience in a Qualtrics EX role, with a focus on AI analytics and Text iQ. Proficiency in creating and customizing dashboards within the Qualtrics platform. Strong understanding of AI analytics and its application to employee feedback data. Excellent communication and presentation skills, with the ability to convey complex data insights in a clear and actionable manner. Proven ability to work collaboratively with cross-functional teams and stakeholders to drive organizational change based on employee feedback Preferred Skills : Qualtrics EX role, with a focus on AI analytics and Text iQ. Location and way of working Base location: PAN India This profile involves frequent / occasional travelling to client locations OR this profile does not involve extensive travel for work. Hybrid is our default way of working. Each domain has customised the hybrid approach to their unique needs. Your role as a Senior Consultant We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society. In addition to living our purpose, Senior Consultant across our organization must strive to be: Inspiring - Leading with integrity to build inclusion and motivation Committed to creating purpose - Creating a sense of vision and purpose Agile - Achieving high-quality results through collaboration and Team unity Skilled at building diverse capability - Developing diverse capabilities for the future Persuasive / Influencing - Persuading and influencing stakeholders Collaborating - Partnering to build new solutions Delivering value - Showing commercial acumen Committed to expanding business - Leveraging new business opportunities Analytical Acumen - Leveraging data to recommend impactful approach and solutions through the power of analysis and visualization Effective communication Must be well abled to have well-structured and well-articulated conversations to achieve win-win possibilities Engagement Management / Delivery Excellence - Effectively managing engagement(s) to ensure timely and proactive execution as well as course correction for the success of engagement(s) Managing change - Responding to changing environment with resilience Managing Quality & Risk - Delivering high quality results and mitigating risks with utmost integrity and precision Strategic Thinking & Problem Solving - Applying strategic mindset to solve business issues and complex problems Tech Savvy - Leveraging ethical technology practices to deliver high impact for clients and for Deloitte Empathetic leadership and inclusivity - creating a safe and thriving environment where everyones valued for who they are, use empathy to understand others to adapt our behaviours and attitudes to become more inclusive. How you ll grow Connect for impact Our exceptional team of professionals across the globe are solving some of the world s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report . Empower to lead You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership. Inclusion for all At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters. Drive your career At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte. Everyone s welcome entrust your happiness to us Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here s a glimpse of things that are in store for you. Interview tips We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you re applying to. Check out recruiting tips from Deloitte professionals.

Roles & Responsibilities : Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. Good knowledge of advanced statistical methods. Mine and analyze data, applying statistical methods as necessary, pertaining to customers discovery, and viewing experiences to identify critical product insights. Experience in creating statistical models and/or optimization frameworks for improving processes/products/profits Interact with our research team and with key partners in the market to build end-to-end AI/ML/NLP solutions: Conversational AI, document understanding Mine and analyze data, applying statistical methods as necessary, pertaining to customers discovery, and viewing experiences to identify critical product insights. Proactively develop new metrics and studies to quantify the value of different aspects of product. Drive efforts to enable product and engineering leaders to share your knowledge and insights through clear and concise communication, education, and data visualization. Translate analytic insights into concrete, actionable recommendations for business or product improvement. Build and improve reusable tools & modelling pipelines and support knowledge sharing across several teams. Define and deploy best practices in Machine Learning & MLOps, mentor and teach colleagues. Partner closely with product and engineering leaders throughout the lifecycle of project Education and Work Experience Requirements: 5 to 8 years of experience as Data Scientist Proven track record and experience with statistical modeling/data mining algorithms such as Multivariate Regression, Logistic Regression, clustering algorithms, Support Vector Machines, Decision Trees etc Machine learning, deep learning, graph mining. DOE, Forecasting, Segmentation, Uncertainty Analysis etc. Data Mining i. e. Text Mining, Classification Methods SVM, NN, etc Vector Space model for Unstructured Text Sentiment Analysis, Association Mining, Semantic Analysis Good knowledge of advanced statistical methods. Experience working with Text Data using transformer-based model Experience in creating statistical models and/or optimization frameworks for improving processes/products/profits Expertise with one of the following scripting languages: Python, R, Tensorflow, Keras, Pytorch OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Large Language Models, Knowledge Graphs Good and experience of machine learning algorithms and ability to apply them in supervised and un-supervised NLP tasks. Knowledge of NLP algorithms that can handle various NLP tasks such as intent recognition, entity extraction, language modeling, text classification, question answering, text summarization, topic modeling and so on. Experience building and fine-tuning Language Models (LMs), such as BERT, ELMo, XLNet etc to solve bespoke NLP tasks. Tech savy and willing to work with open-Source Tools Should have independently handled a project technically and provided directions to the other Team Members. Able to lead the project independently. Experience in turning ideas into actionable designs. Able to persuade stakeholders and champion effective techniques through development. Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company. Good to have foundational knowledge on Cloud, API frameworks like Flask, Fast API Prior experience working on Mobility or Healthcare domain will be a plus

About the role: This is a unique opportunity to join our fast-growing Global Product Management Data Science team. You will be working with the team managing The Client Experience Digital Platform’ which is the go-to place for all clients to interact with Gartner to get value. Our clients are IT and business leaders around the world. They expect to get help from Gartner on their most critical priorities. The Digital Platform is embedded in their workflows to help them on every step of their journey. Our mission is to deliver tremendous client value by building scalable, intelligent digital products and solutions. We are constantly looking for product management, UX and data science leaders to help us accelerate innovation to disrupt the marketplace and disrupt ourselves. What you will do: Work on Data science projects in close collaboration with the Data Engineering team, Application development team, Product owners and business leaders to deliver high value business capabilities Solve ‘Search’ value stream problems and help improve Gartner’s client experience in finding the most meaningful and valuable insights Build user query understanding and intent refinement models to refine query to content similarity Build and incorporate LLMs in addition to vector search capabilities Be responsible for high quality data science solutions with respect to accuracy and coverage. Be accountable for solutions’ scalability, stability, and business adoption Responsible for maintaining proper documentation and further code-reusability principles Responsible for ownership of algorithms and its enhancements/optimizations as per business requirement Collaborate with Director, Data Science in long term vision, strategy, and solution roadmap to align with bigger business objectives and mission critical priorities of the organization Responsible to pitch ideas, present solutions and influence senior leaders with strong business value propositions Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions Collaborate with engineering and product teams to launch MVPs and iterate quickly Independently plan and drive data science projects that deliver clear business value. What you will need: 6-8 years hands-on experience building predictive models, search systems, or other machine learning/artificial intelligence applications to drive business impact Bachelor’s degree required while a master’s degree in a quantitative field (math, computer science, engineering, etc.) is strongly preferred Demonstrated ability to translate quantitative analysis into actionable business strategies. Strong communication skills in technical and business domains Working experience in some of the following data science areas: Machine Learning and Predictive modeling Text mining and Natural Language Processing Search or Recommendation systems Data analytics with multi-dimensional data Generative models Strong working knowledge of Lean product principles, software development lifecycle, and machine learning life cycle Practical, intuitive problem solver with a demonstrated ability to translate business objectives into actionable data science tasks and translate quantitative analysis into actionable business strategies Ability to implement latest ML research to improve our current algorithms Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning (e.g., pytorch, tensorflow), statistical packages (e.g., Scipy), SQL/relational databases (e.g., Oracle) and NoSQL databases (e.g., MongoDB, graph database), distributed machine learning (spark), Linux and shell scripting Experience with cloud computing services such as AWS or Azure ML Ability to work collaboratively across product, data science and technical stakeholders Ability to work in a culture that thrives on feedback and seeks opportunities to stretch outside comfort zone Bias for action and client outcome oriented

Project Role : Business Architect Project Role Description : Define opportunities to create tangible business value for the client by leading current state assessments and identifying high level customer requirements, defining the business solutions and structures needed to realize these opportunities, and developing business case to achieve the vision. Must have skills : Business Requirements Analysis Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : BE or Btech Summary :As a Business Architect, you will define opportunities to create tangible business value for the client by leading current state assessments and identifying high-level customer requirements. You will be responsible for defining the business solutions and structures needed to realize these opportunities and developing a business case to achieve the vision. Your role will involve collaborating with multiple teams and engaging in key decision-making processes to provide solutions for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute to key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead current state assessments to identify high-level customer requirements- Define business solutions and structures to realize opportunities- Develop a business case to achieve the vision Professional & Technical Skills: - Must To Have Skills: Proficiency in Business Requirements Analysis- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in Business Requirements Analysis- This position is based at our Coimbatore office- A BE or Btech is required Qualification BE or Btech

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead research and development initiatives- Implement cutting-edge AI/ML algorithms- Stay updated on industry trends and advancements Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in Large Language Models- This position is based at our Hyderabad office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP FI S/4HANA Accounting Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact for the project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP FI CO Finance- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in SAP FI CO Finance- This position is based at our Hyderabad office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Guidewire Digital Portals Good to have skills : React.jsMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Process Architect, you will analyze and design new business processes to create the documentation that guides the implementation of new processes and technologies. Partner with the business to define product requirements and use cases to meet process and functional requirements. Participate in user and task analysis to represent business needs. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Analyze and design new business processes to create documentation for implementation.- Partner with the business to define product requirements and use cases.- Participate in user and task analysis to represent business needs.- Collaborate with cross-functional teams to ensure successful process implementation.- Identify areas for process improvement and recommend solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Guidewire Digital Portals.- Good To Have Skills: Experience with React.js.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 2 years of experience in Guidewire Digital Portals.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Sales and Distribution (SD) Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute to key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact for the project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Sales and Distribution (SD)- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in SAP Sales and Distribution (SD)- This position is based in Mumbai- A 15 years full-time education is required Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems that utilize AI tools and Cloud AI services. You will be responsible for creating a proper cloud or on-prem application pipeline with production-ready quality. Additionally, you will apply GenAI models as part of the solution, which may include deep learning, neural networks, chatbots, and image processing. Your role will contribute to the advancement of AI technology and its applications in various industries. Roles & Responsibilities:- Expected to be an SME in AI/ML Computational Science- Collaborate and manage the team to perform effectively- Responsible for team decisions and ensuring their successful implementation- Engage with multiple teams and contribute to key decisions- Expected to provide solutions to problems that apply across multiple teams- Contribute to the development of AI applications and systems- Utilize AI tools and Cloud AI services to create robust solutions- Implement proper cloud or on-prem application pipelines with production-ready quality- Apply GenAI models as part of the solution- Explore and implement deep learning techniques and neural networks- Develop chatbots and work on image processing projects Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on experience implementing various machine learning algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 12 years of experience in Machine Learning- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

Skill required: Delivery - HR Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AIA set of tasks to provide insights about the effectiveness of HR processes, procedures and policies, help make data-driven decisions based on the information collected and help HR to move from operational to tactical or strategic partner. What are we looking for HR Analytics Text Analytics Python Adaptable and flexible Ability to work well in a team Commitment to quality Agility for quick learning Prioritization of workload Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification Any Graduation

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various advanced technologies such as deep learning, neural networks, chatbots, and image processing to enhance the functionality and efficiency of the systems you create. Collaboration with cross-functional teams will be essential to ensure that the solutions are robust and scalable, addressing the needs of diverse stakeholders. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Continuously evaluate and improve existing processes and systems to drive efficiency and innovation. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Experience with cloud-based AI services and deployment strategies.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions that meet production standards. Additional Information:- The candidate should have minimum 12 years of experience in Large Language Models.- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education

As a Generative AI Senior Developer with IBM Consulting, you are primarily responsible for designing and implementing complex GenAI solutions using IBM WatsonX and Ecosystem Partner Stacks (Microsoft Azure / Open AI, AWS, Aleph Alpha, as well as Open Source). In addition, you are supporting business development, sales as well as the delivery of consulting and system integration projects in Data & AI for our clients. * You have end-to-end technical responsibility during the acquisition, design and delivery of technically complex GenAI projects at scale * You are accountable for the development and productive deployment of scalable Generative AI applications and platforms, particularly within (hybrid) cloud architectures. * You provide consultation and support to clients and colleagues in architecting and selecting the right technology stack for flexible, scalable, and economical GenAI solutions. * You guide and support clients and colleagues in the adoption of development and operational processes for AI solutions, such as Agile DevOps, FinOps, Trustworthy AI and MLOps methodologies. * You stay abreast of the latest developments in the Artificial Intelligence market and research environment, actively participating in knowledge transfer within IBM Consulting, especially when it comes to mentoring junior team members and delivery teams. * You also develop the strategy, vision, and roadmap for GenAI architectures within our consulting business, contributing to both our immediate sales objectives and long-term business growth. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Professional with at least 6-10 years of experience ideally in data and analytics and/or architecture, including 3 years in the design, build, and implementation of AI/Deep Learning & GenAI solutions. * Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases. * Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X). * Familiar with relevant concepts (eg transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face etc as well as Open Source). * Very good at stakeholder management and influencing skills, consultancy skills a very strong plus. * Able to convey complex technical concepts to non-technical stakeholder Preferred technical and professional experience Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases. * Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X). * Familiar with relevant concepts (eg transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face etc as well as Open Source). * Very good at stakeholder management and influencing skills, consultancy skills a very strong plus. * Able to convey complex technical concepts to non-technical stakeholders.* Fluent in English

As a Data Scientist Associate Manager at SC&O - S&P I&F Decision Science, you will play a crucial role in leading the design, development, and implementation of AI/ML-powered procurement and analytics solutions. Your responsibilities will involve collaborating with cross-functional teams to create platforms that identify cost-saving opportunities, improve supplier management, and provide valuable business intelligence to enterprise clients. One of your key duties will be to analyze procurement spend using various techniques to classify it into a custom taxonomy within Accenture's spend analytics tool. You will also be involved in collecting data from different sources through interactions with stakeholders and conducting data quality assessments. Additionally, you will assist in creating data cleansing rules and incorporating data clarifications from source owners. To excel in this role, you should have hands-on experience with Python, including threading limitations and multi-process architecture. Proficiency in MySQL to integrate multiple data sources is essential. Strong coding skills in languages such as R, SQL, JavaScript, Java, CSS, and C++ will be beneficial. Familiarity with statistical and data mining techniques, along with advanced machine learning algorithms and statistics, is also required. Ideal candidates for this position should possess 6-12 years of experience in data modeling, ETL automation, AI/ML, and front-end design. A background in handling and classifying spend data using AI/ML techniques is highly desirable. Strong leadership, team management, proficiency in MS Excel and MS PowerPoint, attention to detail, accuracy, and innovative problem-solving skills are crucial for success in this role. Previous experience in supply chain management and applying AI/ML techniques to optimize operations is preferred. Join us at Accenture and be part of a dynamic team driving innovation and excellence in decision science and data analytics.,

Are you passionate about the intersection of data, technology, and science, and excited by the potential of Real-World Data (RWD) and AI Do you thrive in collaborative environments and aspire to contribute to the discovery of groundbreaking medical insights If so, join the data42 team at Novartis! At Novartis, we reimagine medicine by leveraging state-of-the-art analytics and our extensive internal and external data resources. Our data42 platform grants access to high-quality, multi-modal preclinical and clinical data, along with RWD, creating the optimal environment for developing advanced AI/ML models and generating health insights. Our global team of data scientists and engineers utilizes this platform to uncover novel insights and guide drug development decisions. As an RWD SME / RWE Execution Data Scientist, you will focus on executing innovative methodologies and AI models to mine RWD on the data42 platform. You will be the go-to authority for leveraging diverse RWD modalities patterns crucial to understanding patient populations, biomarkers, and drug targets, accelerating the development of life-changing medicines. Duties and Responsibilities: - Collaborate with R&D stakeholders to co-create and implement innovative, repeatable, scalable, and automated data and technology solutions in line with data42 strategy. - Be a data Subject Matter Expert (SME), understand Real World Data (RWD) of different modalities, vocabularies (LOINC, ICD, HCPCS, etc.), non-traditional RWD (Patient reported outcomes, Wearables and Mobile Health Data) and where and how they can be used, including in conjunction with clinical data, omics data, pre-clinical data, and commercial data. - Contribute to data strategy implementation such as Federated Learning, tokenization, data quality frameworks, regulatory requirements (submission data to HL7 FHIR formats conversion, Sentinel initiative), conversion to common data models and standards (OMOP, FHIR, SEND, etc.), FAIR principles, and integration with enterprise catalog. - Define and execute advanced integrated and scalable analytical approaches and research methodologies (including industry trends) in support of exploratory and regulatory use of AI models for RWD analysis across the Research Development Commercial continuum by facilitating research questions. - Stay current with emerging applications and trends, driving the development of advanced analytic capabilities for data42 across the Real-world evidence generation lifecycle, from ideation to study design and execution. - Demonstrate high agility working across various cross-located and cross-functional associates across business domains (commercial, Development, Biomedical Research) or Therapeutic area divisions for our priority disease areas to execute complex and critical business problems with quantified business impact/ROI. Ideal Candidate Profile: - PhD or MSc. in a quantitative discipline (e.g., but not restricted to Computer Science, Physics, Statistics, Epidemiology) with proven expertise in artificial Intelligence / Machine Learning. - 8+ years of relevant experience in Data Science (or 4+ years post-qualification in case of PhD). - Extensive experience in Statistical and Machine Learning techniques: Regression, Classification, Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting, Text Mining, and Natural Language Processing, LLMs, and multi-modal Generative AI. - Good to have skills: Stochastic models, Bayesian Models, Markov Chains, Optimization techniques including, Dynamic Programming Deep Learning techniques on structured and unstructured data, Recommender Systems. - Proficiency in tools and packages: Python, R(optional), SQL; exposure to dashboard or web-app building using PowerBI, R-Shiny, Flask, open source or proprietary software and packages is an advantage. - Knowledge in data standards e.g. OHDSI OMOP, and other data standards, FHIR HL7 for regulatory, and best practices. - Good to have: Foundry, big data programming, working knowledge of executing data science on AWS, DataBricks, or SnowFlake. - Strong in Matrix collaboration environments with good communication and collaboration skills with country/ regional/ global stakeholders in an individual contributor capacity. Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. 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 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. Benefits and Rewards: Read our handbook to learn about all the ways we'll help you thrive personally and professionally.,

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and implement new technologies to improve system performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services, particularly in deploying AI solutions.- Familiarity with data preprocessing and feature engineering techniques.- Ability to design and implement scalable machine learning models. Additional Information:- The candidate should have minimum 7.5 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : PySpark Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for overseeing the entire application development process and ensuring its successful implementation. Your role will involve collaborating with cross-functional teams, managing the team's performance, and making key decisions. You will also provide solutions to problems for your immediate team and across multiple teams, contributing to the overall success of the project. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute to key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact for application-related matters- Oversee the entire application development process- Ensure successful implementation of applications Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in PySpark- This position is based in Gurugram- A 15 years full-time education is required Qualification 15 years full time education