15431 Machine Learning Jobs - Page 3

As a Data Scientist in our team, you will be responsible for conducting product assortment analysis, identifying trends and patterns in category performance, and providing support for new product launches. Your role will involve utilizing data and visualization techniques to offer actionable insights for store teams, territory, and district managers. You will also be designing and testing campaign effectiveness, analyzing cross-sell and up-sell opportunities, and performing Market Basket Analysis. Additionally, you will be analyzing loyalty and customer data to create direct marketing campaigns and measure their effectiveness. Your ability to translate complex data insights into understandable and actionable information for non-technical and business teams will be crucial for this role. Requirements: - Proven experience as a Data Scientist or in a similar role. - Strong knowledge of data analysis, statistics, and machine learning. - Proficiency in data science tools and programming languages such as Python, SQL, and ML as well as Business understanding etc. - Prior experience in CRM, Loyalty, Customer, or Retail/CPG Analytics. - Familiarity with supervised and unsupervised learning techniques, deep learning, reinforcement learning, evaluation metrics, feature engineering, model selection and validation, ensemble methods, and explainable AI. - Expertise in Category/Product Analytics, Store Analytics, Marketing and Promotion Analytics, and Customer Analytics. - Proficiency in visualization tools such as Power BI, Spotfire, or similar. - Excellent storytelling skills to explain complex data to non-technical/business teams. - Experience in analytics, preferably within Retail, CPG, or E-commerce domains. - Excellent communication and collaboration skills with the ability to work effectively in a team environment. Benefits: - Competitive salary and performance-based bonuses. - Comprehensive insurance plans. - Collaborative and supportive work environment. - Opportunity to learn and grow with a talented team. - Positive and fun work environment.,

The opportunity We are looking for a Manager Analytics with expertise in one of the industries across Banking, Insurance. Your key responsibilities include developing Analytics Based Decision Making Frameworks for clients in the Banking and Insurance sector, project management, client management, and supporting business development and new analytics solution development activities. Skills and attributes for success To be successful in this role, you should have domain expertise in either Banking or Insurance, experience in statistical modelling (Logistic / Linear regression, GLM modelling, Time-series forecasting, Scorecard development, etc.), hands-on experience in one or more Statistics tools such as SAS, Python & R, familiarity with Tableau and Qlikview, data mining experience in Clustering and Segmentation, and preferably machine learning and Python experience. To qualify for the role you must have A B Tech from top tier engineering schools or a Masters in Statistics / Economics from the top universities, a minimum of 6 years of relevant experience, with at least 1 year of managerial experience for Senior Consultant, at least 1 year for Associate Consultant, and a minimum of 3 years for Consultant. Ideally you'll also have Strong communication, facilitation, relationship-building, presentation, and negotiation skills, high flexibility, adaptability, and creativity, comfort in interacting with senior executives, strong leadership skills, and supervisory responsibility. What we look for We seek individuals with the ability to work collaboratively across multiple client departments, adhere to commercial and legal requirements, solve issues and complex problems practically, and deliver insightful and practical solutions. What working at EY offers EY is committed to being an inclusive employer and offers flexible working arrangements to achieve the right balance for our people, enabling excellent client service delivery while prioritizing personal needs. Client-facing professionals may need to travel regularly and be based at client sites, but our flexible working arrangements support a balanced lifestyle. About EY As a global leader in assurance, tax, transaction, and advisory services, we are dedicated to building a better working world through the finance products, expertise, and systems we have developed. We foster a culture that provides training, opportunities, and creative freedom to make meaningful contributions. Joining EY offers a lifetime of exceptional experiences, with a commitment to hiring and developing passionate individuals to achieve our ambition of being the best employer by 2020. If you meet the criteria above, please contact us as soon as possible.,

As a Qualcomm Software Engineer, your role involves designing, developing, creating, modifying, and validating embedded and cloud edge software, applications, and specialized utility programs. Your contributions will lead to the launch of cutting-edge, world-class products that exceed customer needs. Collaboration with systems, hardware, architecture, test engineers, and other teams is essential to design system-level software solutions and gather performance requirements and interfaces. As a member of the Fingerprint SW team, you will be responsible for designing, modifying, and implementing Fingerprint SW in the Middleware Layer for Qualcomm Fingerprint Solution. Your tasks will include SW design and development on embedded platforms, SW Stack development in the Middleware layer, as well as debugging and resolving issues in SW reported by internal test teams and customers. Minimum Qualifications: - 3 to 5 years of experience with embedded systems - Proficiency in C and Database Concepts - Understanding of Linux User and Kernel space development - Strong analytical and problem-solving skills - Solid grasp of basic real-time/embedded programming concepts and real-time operating systems concepts Preferred Qualifications: - Understanding of microprocessor and multiprocessor architecture - Exposure to ARM-based processors and Trustzone awareness - Basic understanding of Machine Learning and Deep learning techniques In this role, your expertise in software engineering, embedded systems, C programming, and problem-solving will contribute to the success of Qualcomm's cutting-edge technologies.,

The Legal Analytics lead (Vice President) will be a part of AIM, based out of Gurugram and reporting into the Legal Analytics head (Senior Vice President) leading the team. You will lead a team of statisticians and Data Science experts that are responsible for Model Development, Validation, Governance and Documentation. It is crucial for you to drive quality, reliability, and usability of all work products. Your responsibilities will include evaluating and refining the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy. You must ensure proper documentation of all project work and be prepared to respond to Internal Audit, Compliance Testing, and Regulators questions. As the Specialized Analytics Sr. Mgr, you will achieve results through the management of professional team(s) and department(s). You will integrate subject matter and industry expertise within a defined area and contribute to standards around which others will operate. Your role requires an in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function. Developed communication and diplomacy skills are necessary in order to guide, influence, and convince others, particularly colleagues in other areas and occasional external customers. You will have responsibility for volume, quality, timeliness, and delivery of end results of an area. You may also be responsible for planning, budgeting, and policy formulation within your area of expertise. Your involvement in short-term planning and resource planning is essential. You will have full management responsibility for a team, including management of people, budget and planning. This may include duties such as performance evaluation, compensation, hiring, disciplinary actions, terminations, and budget approval. Your responsibilities will primarily include supporting the model validation process for Model Risk Management, developing and implementing automated solutions to manage the increasing volume of models. You will oversee the development of predictive models, machine learning algorithms, and other advanced analytical techniques. It will be your responsibility to document data requirements, data collection/processing/cleaning, and exploratory data analysis, which may include utilizing statistical models/algorithms and data visualization techniques. You will also act as an interface between business and technology partners for digitizing data collection, including performance generation and validation rules for banking operations. Offering technical guidance and support in areas such as knowledge graph development, data extraction, and other technical aspects related to model implementation will be part of your role. Communication of findings and recommendations to senior management, staying current with the latest trends and technologies in data science and analytics, and ensuring compliance with data governance policies and regulatory requirements are also key aspects of your responsibilities. You will work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies. Identifying and compiling data sets using a variety of tools (e.g., SQL, Access) to help predict, improve, and measure the success of key business outcomes. As a Data Scientist, you will develop and execute the data science and analytics strategy. It is crucial to assess risk appropriately when making business decisions, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets by driving compliance with applicable laws, rules, and regulations. Leading a team of data scientists and working with them to deliver on organizational priorities will also be part of your responsibilities. Qualifications: - 10-15 years of experience in Data Science roles - Strong understanding of statistical modeling, machine learning, and data mining techniques - Proven ability to translate complex data into actionable insights - Ability to leverage data science tools & techniques for analytics problem solving for organizational needs - Experience in interacting with senior stakeholders across the organization to manage end-to-end conceptualization & implementation of data science solutions - Analytics thought leadership skills & Manage project planning effectively - People management experience - In-depth understanding of various financial service business models, expert knowledge of advanced statistical techniques and how to apply the techniques to drive substantial business results - Creative problem-solving skills - Consistently sets high performance standards with right mentorship & coaching interventions for the team - Ownership & accountability of career progression, performance management, IDP, and conflict management - Retain talent, manage attrition, and career mobility - Excellent verbal and written communication skills - Strong capability to influence business outcomes/decisions in collaboration with AIM leadership & business stakeholders Education: - Bachelors/Masters degree in STEM, Masters degree preferred Job Family Group: Decision Management Job Family: Specialized Analytics (Data Science/Computational Statistics) Time Type: Full time Most Relevant Skills: - Strong understanding of statistical modeling, machine learning, and data mining techniques - Proven ability to translate complex data into actionable insights Other Relevant Skills: - For complementary skills, please see above and/or contact the recruiter. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.,

About the job: At PNT Robotics & Automation Solutions LLP, we are seeking a highly skilled and enthusiastic Robotics & AI Trainer to join our dynamic team. If you possess expert knowledge in Robotics, Arduino, Embedded Systems, and Artificial Intelligence, and are passionate about pushing the boundaries of technology, then this is the perfect opportunity for you! Key responsibilities: 1. Develop and deliver interactive training sessions on Robotics, Python, AI, Embedded Systems, and IoT. 2. Conduct workshops across India, primarily in educational institutions. 3. Design and implement hands-on projects using Arduino, sensors, Python, and Machine Learning tools. 4. Guide and mentor students in building real-world applications like line-following robots, robotic arms, and AI-based systems. 5. Stay updated with the latest technologies and trends and integrate them into training content. 6. Collaborate with the internal R&D team to ensure industry relevance in all course materials. Who can apply: Only those candidates can apply who: have minimum 1 years of experience are Computer Science Engineering students Salary: ₹ 2,00,000 - 3,00,000 /year Experience: 1 year(s) Deadline: 2025-09-07 23:59:59 Other perks: Informal dress code Skills required: Python, Robotics, Machine Learning, Embedded Systems, Arduino, C++ Programming, Artificial intelligence and Robot Operating System (ROS) Other Requirements: 1. Must have knowledge of Arduino, Embedded Systems, Machine Learning, Robotics, and AI. 2. Relevant degree in Robotics & Automation. 3. Must be proficient in English (required). 4. Candidates joining immediately will be preferred. About Company: We develop AI-powered robots and offer IoT solutions along with industrial automation services using robotics. Additionally, we provide training programs in robotics, IoT, data science, machine learning, and AI across pan India.

The Manufacturing Engineer (I4.0) will play a crucial role in supporting the deployment of Industry 4.0 technologies at Eaton Bangalore's manufacturing facility. As the Operations/Manufacturing technology leader, you will be responsible for driving the implementation of Manufacturing Execution System (MES) and Smart Benches to enable digital transformation within the manufacturing operations. Your role will involve identifying, developing, and deploying technology-based solutions such as equipment connectivity, plant application reporting, analytical dashboards, and process status representation. You will be accountable for designing, specifying, and implementing safe and efficient manufacturing processes, including aspects like machine guarding, controls, tooling, fixtures, gauges, and process documentation. Additionally, you will support day-to-day manufacturing operations by collecting and analyzing manufacturing data to implement process improvements that enhance safety, product quality, customer delivery, and cost reductions. Moreover, you will provide mentorship to other team members in manufacturing engineering and Industry 4.0 competencies. Your key responsibilities will include dealing with multiple technical tasks simultaneously, implementing process improvements to enhance part quality and reduce cycle time and cost, working collaboratively in a team environment, addressing non-conformities, participating in change management activities, creating manufacturing documentation, supporting production floor operations, preventing process bottlenecks, and implementing lean tools and process improvement initiatives. You will also be expected to possess good verbal and written communication skills, expertise in manufacturing process planning, experience in aerospace processes and materials, knowledge of Lean and Six Sigma methodologies, and proficiency in using digital tools to automate and control manufacturing processes. To qualify for this role, you should hold an engineering degree in Electromechanical or Controls/Mechanical Engineering and have at least 7 years of experience in a technical role supporting manufacturing processes or a related engineering function. In terms of technical skills, you should have experience with MRP, PDM, and MES software solutions, as well as proficiency in using various software tools such as QAD MFG/Pro, Dassault ENOVIA, PTC ThingWorx, and others. Strong project management, time management, organizational, and analytical skills are essential for this position. Additionally, familiarity with HTML, CSS, Python, Power Tools, 3D modeling, Rapid Prototyping, PLC software, Cobot Programming, Computer Vision, Machine Learning, and manufacturing processes like PFMEA, RCCA, SOP, BOM, and CI tools would be beneficial. Soft skills required for this role include the ability to communicate effectively with global stakeholders and shop floor employees, collaborate with teams to achieve results, and demonstrate a willingness to learn and execute tasks efficiently. This role offers a unique opportunity to contribute to the deployment of cutting-edge technologies in manufacturing processes and drive continuous improvement initiatives for operational excellence at Eaton Bangalore.,

As an AI Engineer at SOLIZE India Technologies, you will be responsible for developing and optimizing AI models for deployment on edge devices, with a specific focus on anomaly detection and sensor data processing. Your role will involve designing and implementing anomaly detection models using statistical and unsupervised learning techniques, as well as developing and integrating AI models optimized for edge devices. You will work with time-series and sensor data, applying appropriate preprocessing, noise reduction, and feature extraction techniques. Utilizing deep learning architectures such as CNNs, RNNs, LSTM, GRU, and GANs will be a key part of your responsibilities. Additionally, you will be expected to perform model evaluation, optimization, cross-validation, and hyperparameter tuning, as well as visualize and analyze datasets using Python tools like Pandas, Matplotlib, and Seaborn. To excel in this role, you should have a strong foundation in machine learning and deep learning, along with hands-on experience in Python and AI frameworks. You must possess knowledge of anomaly detection techniques, experience in integrating AI models, and a fundamental understanding of machine learning and deep learning. Proficiency in Python libraries such as TensorFlow, PyTorch, and scikit-learn is essential, as is an understanding of time-series data processing and sensor data processing techniques. Data visualization and analysis skills, as well as AI model optimization and evaluation methods, will also be crucial for success in this position. The ideal candidate for this role is a young to mid-career professional with a flexible mindset and a strong willingness to learn. An interest in Japanese culture, such as anime, would be beneficial. You should have a strong interest in AI and embedded development, excellent problem-solving skills, and a keen interest in Industrial IoT. If you are motivated by self-learning, collaborative team-oriented work environments, and the opportunity to deepen your knowledge in the field, we encourage you to apply for this position. Website: www.solize.com/india,

As a Senior Data Analyst, you will have the opportunity to work on complex and pressing challenges that require the collaboration of curious, ambitious, and determined leaders. Your role will involve driving data-driven decision-making by designing and developing high-quality analytical solutions using design thinking and agile methodologies. You will be responsible for ensuring seamless integration with global enterprise systems and managing the end-to-end development and tracking of value capture plans, reporting, and metrics in close collaboration with enterprise product teams. Your main responsibilities will include deriving actionable insights through advanced analytics, modeling data for consumption in collaboration with the data engineering team, and enabling stakeholders to make informed decisions. Additionally, you will serve as a data advocate, raising awareness of the value of data through storytelling, communication, and coaching. This role will provide you with the opportunity to work with a diverse, global team of finance professionals, transformation experts, front-end architects, analysts, and data scientists to deliver strategic impact across the organization. You are expected to thrive in a high-performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges with real impact. In return for your drive, determination, and curiosity, the organization will provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well-rounded professional, and contribute to work that truly makes a difference. When you join the team, you will benefit from continuous learning opportunities through structured programs designed to help you grow and develop in a feedback-rich environment. Your ideas and contributions will be valued from day one, allowing you to make a tangible impact by offering innovative ideas and practical solutions. The organization encourages diverse perspectives as they are critical in driving towards the best possible outcomes. You will be part of a global community with colleagues across 65+ countries and over 100 different nationalities. This diversity fuels creativity and helps in coming up with the best solutions. Furthermore, you will have the chance to learn from exceptional colleagues with diverse backgrounds and experiences. The role requires a Graduate (B. Tech / BCA) in a technical or quantitative discipline such as Computer Science, Mathematics, Statistics, or related fields, along with 2-5 years of experience in data science or analytics roles. Proficiency in programming languages like Python and R, expertise in SQL, working with large datasets and distributed computing tools, experience with machine learning, AI, advanced statistical techniques, and data engineering are essential. Familiarity with data visualization tools like Tableau or Power BI and data modeling tools like Alteryx, Knime, etc., as well as knowledge of cloud database technologies and APIs (such as SAP HANA, Snowflake, SaaS), will be beneficial. A proven track record of delivering value through advanced analytics and machine learning is also desired.,

About KPMG in India KPMG entities in India are professional services firm(s) affiliated with KPMG International Limited, established in August 1993. Leveraging the global network of firms, our professionals are well-versed in local laws, regulations, markets, and competition. With offices across India, including in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada, we offer services to national and international clients across various sectors. Our focus is on providing rapid, performance-based, industry-focused, and technology-enabled services, drawing on our global and local industry knowledge and experience in the Indian business environment. Key Responsibilities Design, develop, and deploy machine learning and deep learning models to solve a variety of business problems. Utilize NLP techniques such as text classification, information extraction, sentiment analysis, and language modeling. Collaborate with cross-functional teams to comprehend requirements and provide AI-driven solutions. Stay informed about the latest advancements in AI/ML and GenAI. Implement proof-of-concepts and contribute to client presentations as needed. Required Skills And Qualifications Bachelors/Masters degree in Computer Science, Engineering, Mathematics, or a related field. Solid grasp of fundamental AI/ML algorithms and techniques. Hands-on experience with Machine Learning frameworks (e.g., scikit-learn, XGBoost, LightGBM) and Deep Learning libraries (e.g., TensorFlow, PyTorch, Keras). Experience in NLP tasks like text preprocessing, named entity recognition, and text summarization. Understanding of Generative AI basics (LLMs, diffusion models, prompt engineering). Proficiency in Python and relevant data science tools. Strong problem-solving and analytical abilities. Excellent communication and collaboration skills. Preferred Qualifications Experience in developing and deploying AI/ML models in production settings. Knowledge of cloud platforms (e.g., AWS, Azure, GCP). Familiarity with MLOps tools and practices. Publications or involvement in AI/ML competitions. Equal Opportunity Employer KPMG India,

As a Full Time employee, you will be required to have 0 to 6 months of experience to apply for this position. The job involves both Face to Face and Written Test evaluations. The deadline for application is 21-Aug-2025, while the posting date was on 22-July-2025. The salary range for this position is between Rs. 12000 to Rs. 15000 per month. There are a total of 6 vacancies available. The ideal candidates should have graduated between 2024-2025 with a minimum of 80% marks in their BE/B.Tech qualification. The eligible branches for education include BE/B.Tech-Computer Science & Engineering (CSE), BE/B.Tech-Electronics & Communication Engineering (ECE), and BE/B.Tech-Information Science/Technology (IS/IT). The job location is in Madhapur, and the required skills for this position include proficiency in MicroSoft(MS)SQL, Artificial Intelligence, Python, Machine Learning. Your responsibilities will include assisting in developing Python-based applications and scripts supporting AI/ML workflows, supporting model building and data analysis using various libraries, cleaning and preprocessing datasets, working under senior developers/data scientists, contributing to automation scripts, documenting code and workflows, staying updated with emerging trends in Python development and machine learning frameworks, participating in code reviews and team meetings, and demonstrating good knowledge in SQL.,

The AI Architect is responsible for consulting with clients to understand their AI/ML and analytics needs, as well as delivering AI/ML applications to meet those needs. Working closely with internal business units and clients, you will translate business problems into data science problems and design intelligent solutions that provide value to stakeholders. Collaboration with the data engineering team is essential to identify relevant data and preprocess it for modeling. Developing statistical machine learning models and AI models using appropriate tools and frameworks is a key aspect of the role. Additionally, you will collaborate with the business intelligence team to create BI systems and visualizations that convey insights from data science models effectively. Delivering AI/ML solutions as microservices in partnership with the application team is also part of the job scope. The ideal candidate will hold a Masters/Bachelors degree in Computer Science, Statistics, or Economics, with at least 6 years of experience in the Data Science field. A deep understanding of Machine Learning models and algorithms, along with experience in analyzing complex business problems and translating them into data science solutions, is required. Proficiency in various Machine Learning algorithms and frameworks, such as TensorFlow and knowledge of programming languages like Python/R, is essential. Moreover, familiarity with SQL, Relational Databases, NoSQL Databases, Datawarehouse concepts, and cloud architectures like AWS/Azure is necessary. Experience in deploying AI/ML models using Flask, Azure function, AWS Lambda, and knowledge of BI and visualization tools like Tableau/PowerBI/Qlik/Plotly would be advantageous. Soft skills such as being a team player, effective communicator, proactive problem solver, and capable leader are essential for this role. Managing and nurturing a team of data scientists, as well as demonstrating a keen interest in numbers and patterns, are also desired qualities.,

As a Junior Research Fellow in the field of Artificial Intelligence and Machine Learning at NIT Raipur, you will be part of a project titled "Development of Responsible Artificial Intelligence for Bias Mitigation in Health Care Systems" sponsored by The Ministry of Electronics & Information Technology (MeitY), Govt. of India. Your role will involve contributing to the research area of Artificial Intelligence and Machine Learning, with a focus on bias mitigation in health care systems. The position offers a consolidated monthly fellowship of Rs.37,000/- per month along with HRA. To be eligible for this position, you should hold a B.Tech./B.E. degree in Computer Science & Engineering (CSE) or a related branch, with GATE qualification. Alternatively, candidates with a B.E./B.Tech. and M.E./MTech. in Computer Science & Engineering/Information Technology/EE/ETE/Data Science/AI/ML or relevant branches, or MCA/MSc in Computer Science/IT from an Institute of National Importance/AICTE-approved University/Institution with a minimum of 65% marks or 7.0 CGPA are also encouraged to apply. Preference will be given to candidates with GATE/NET qualification. Desirable qualifications for this position include strong knowledge and hands-on experience in Machine Learning, Deep Learning, Web technologies, and Python. To apply for this position, please fill out the Google Form (https://forms.gle/Ftrdh2t7D9E5pER96) with all your academic and professional details. During the walk-in interview scheduled for 04th August 2025, from 11.00 AM onwards at the Department of Computer Science & Engineering, NIT Raipur, please bring the printed application form along with self-attested copies of required documents such as DOB certificate, degree/provisional certificate, mark sheets, NET/GATE scorecard, caste certificate, NOC, and other relevant documents. Original documents must be presented for verification during the interview process. This position is initially available until 31st December 2025, with the possibility of extension for an additional two years based on your satisfactory performance and the project's duration.,

As a ML Engineer at our organization, you will be expected to have a solid foundation in Machine Learning, Natural Language Processing (NLP), Generative AI, and Retrieval-Augmented Generation (RAG). With at least 1+ years of practical experience in developing and implementing data-driven solutions, you will be an integral member of our AI-CoE team. Your responsibilities will involve working on cutting-edge projects that foster innovation and contribute to the business value of our organization. Specifically, your focus will be on creating AI-powered products that offer unique features to differentiate Tata Communications products and services. Your primary duties will include designing, developing, and deploying machine learning systems such as Generative AI models and LLMs. You will be tasked with researching and incorporating the latest ML algorithms and tools, as well as conducting data preprocessing, feature engineering, and statistical analysis. Furthermore, you will be responsible for training, fine-tuning, and optimizing machine learning models to enhance performance and accuracy. Collaboration with diverse teams, including data scientists, software engineers, and domain experts, will be crucial. Additionally, you will need to extend existing ML frameworks and libraries as needed to meet project requirements and remain informed about the latest developments in machine learning and AI. To excel in this role, you must demonstrate proficiency in machine learning and deep learning concepts. Your programming skills should encompass Python, SQL, and popular frameworks/tools like PyTorch, Sci-kit, NumPy, and Gen AI tools such as langchain/llamaIndex. Practical experience in MLOPs principles and executing projects with Big Data in both batch and streaming modes is essential. Proficiency in working with databases (SQL and NoSQL), along with familiarity with MLFlow, KubeFlow, Git CI/CD, Docker, Kubernetes, and containerization/orchestration tools, is required. Strong problem-solving abilities, a proactive approach, effective communication, and teamwork skills are essential for success in this role. Your capacity to manage multiple projects concurrently and deliver within set deadlines will be crucial. Please note that the interview process will include a coding test. We look forward to welcoming a skilled and motivated ML Engineer who is eager to contribute to our innovative projects and drive the development of AI-enabled products that set Tata Communications apart in the market.,

The position is based in Bangalore and falls under the Risk & Data Science team at Zype. Zype is a financial well-being & lifestyle app that prioritizes credit-first solutions to make aspirational lifestyles affordable, promote responsible financial decisions, and enhance customers" financial well-being. At Zype, the team is dedicated to providing exceptional user experiences by leveraging the latest technology to add significant value to customers" lives. As a member of the team, your responsibilities will include: - Designing rule-based + ML-driven fraud detection systems to minimize false positives & false negatives - Implementing device intelligence, geo-location tracking, and biometric authentication to enhance fraud prevention - Collaborating with the engineering team to integrate fraud detection APIs into UPI systems - Developing machine learning models for fraud pattern recognition and graph analytics models for fraud detection - Implementing real-time anomaly detection for transaction velocity, value, and geolocation mismatches - Working with regulatory bodies and banking partners to ensure compliance with UPI fraud monitoring regulations - Designing AI-driven chargeback prediction models and automating dispute resolution workflows - Leading and mentoring a team of fraud analysts, data scientists, and risk engineers - Staying abreast of global fraud trends, AI-driven fraud strategies, and regulatory changes The ideal candidate should possess: - Strong technical proficiency in machine learning, statistical analysis, and data modeling techniques - Programming skills in Python, R, SQL, or similar tools for data analysis - Analytical thinking to solve complex problems and derive insights from large datasets - Excellent collaboration, communication, and teamwork skills - Domain knowledge in BNPL credit risk - Attention to detail in model building and result delivery The candidate should hold a Bachelor's or Master's degree in data science, Statistics, Mathematics, Computer Science, or a related discipline. Joining Zype offers the opportunity to work in a fast-growing fintech, contribute to data-driven innovation in BNPL, collaborate with talented peers in a supportive environment, gain exposure to cutting-edge technologies in risk analytics, and grow in a high-impact role. If you are ready to redefine risk analytics, Zype invites you to shape the future of BNPL in India.,

As an Applied Research Engineer at Tookitaki in India, you will lead cutting-edge AI and machine learning research in regulatory compliance and financial crime detection. With over 6 years of experience, you will focus on developing innovative AI models, optimizing algorithms, and translating research into real-world applications. Your role will involve collaborating with data scientists, engineers, and regulatory teams to create cutting-edge, regulatory-compliant AI solutions. You will play a pivotal role in advancing Tookitaki's AI-driven compliance solutions by developing novel AI/ML algorithms and ensuring their practical implementation. This involves research, design, and implementation of state-of-the-art AI/ML models for fraud detection, risk assessment, and financial crime prevention. You will optimize models for accuracy, efficiency, and scalability across various financial datasets, experimenting with graph-based AI, deep learning, and unsupervised learning techniques to improve detection capabilities. Your responsibilities will also include developing new feature engineering and model selection techniques to enhance AI model performance, optimizing model inference speed for real-time and batch processing scenarios, and exploring federated learning and privacy-preserving AI techniques to ensure data security and compliance. You will work closely with ML engineers and software developers to deploy AI models into production, implement scalable AI pipelines for large-scale financial data processing, and ensure AI solutions are explainable, interpretable, and aligned with regulatory requirements. In addition, you will analyze structured and unstructured financial datasets to extract meaningful features for ML models, design and build robust data preprocessing pipelines to enhance model accuracy and generalization, and work with data engineering teams to ensure efficient and scalable data ingestion. You will develop transparent and explainable AI models to meet financial industry compliance standards, ensure adherence to ethical AI guidelines, fairness, and bias mitigation strategies, and collaborate with legal and compliance teams to align AI research with evolving regulatory frameworks. To qualify for this role, you should have a Masters or Ph.D. in Computer Science, Machine Learning, AI, Data Science, or a related field, with a strong research background in AI/ML, deep learning, or statistical modeling. You should have at least 6 years of experience in applied AI research, machine learning, or data science, along with expertise in Python, TensorFlow, PyTorch, or JAX, NLP, anomaly detection, graph-based AI, time-series analysis, big data processing frameworks (Spark, Hadoop), and cloud AI platforms (AWS/GCP). Additionally, you should possess strong problem-solving skills, excellent collaboration and communication skills, and the ability to balance research innovation with real-world constraints and scalability. At Tookitaki, you will have the opportunity to develop and deploy AI models to enhance compliance solutions, improve model accuracy and efficiency, ensure seamless deployment of AI models into production, reduce false positives in financial fraud detection, and contribute to AI advancements through research papers and technical reports. You will receive a competitive salary, access to professional development training, comprehensive benefits, and growth opportunities within the rapidly expanding Services Delivery team. Tookitaki is transforming financial services by building a robust trust layer focused on preventing fraud and combating money laundering. Leveraging collaborative intelligence and a federated AI approach, Tookitaki delivers powerful, AI-driven solutions for real-time fraud detection and AML compliance. By serving leading banks and fintech companies globally, Tookitaki is redefining the standards of financial crime detection and prevention, creating a safer and more trustworthy financial ecosystem for everyone.,

The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience, and Sales functions within the global Treasury & Trade Services business. The team focuses on driving acquisitions, cross-sell, revenue growth, and improvements in client experience. They extract relevant insights, identify business opportunities, convert business problems into analytical frameworks, use big data tools and machine learning algorithms to build predictive models and other solutions, and design go-to-market strategies for a wide variety of business problems. The role of Business Analytics Analyst 2 in the TTS Analytics team involves working on multiple analyses throughout the year on business problems across the client life cycle - acquisition, engagement, client experience, and retention for the TTS business. This includes leveraging multiple analytical approaches, tools, and techniques, working on various data sources (client profile & engagement data, transactions & revenue data, digital data, unstructured data like call transcripts etc.) to provide data-driven insights to business and functional stakeholders. The ideal candidate should have a Bachelor's Degree with 4+ years of experience in data analytics, or a Master's Degree with 2+ years of experience in data analytics. They must have experience in Marketing/Sales/Customer analytics, different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison, predictive modeling using Machine Learning, and experience in Pyspark/Python + SQL. It would be beneficial to have experience in financial services, digital marketing and/or digital experience domain knowledge, and experience with unstructured data analysis, such as call transcripts, using Natural Language Processing (NLP)/Text Mining. Key Skills required for this role include proficiency in formulating analytical methodology, identifying trends and patterns with data, and the ability to work hands-on to retrieve and manipulate data from big data environments. Proficiency in Python/R, SQL, experience in PySpark, Hive, and Scala, proficiency in MS Excel, PowerPoint, and experience with Tableau are essential. Strong analytical and problem-solving skills, excellent communication and interpersonal skills, being organized, detail-oriented, and adaptive to a matrix work environment are considered important soft skills for this position.,

The opportunity We are looking for a Senior Consultant/Consultant Analytics with expertise in one of the industries across Banking, Insurance, not mandatory. Your key responsibilities You will be responsible for developing Analytics Based Decision Making Frameworks for clients in the Banking and Insurance sectors. This will involve Project Management, Client Management, as well as supporting business development and new analytics solution development activities. Skills and attributes for success To succeed in this role, you will need domain expertise in either Banking or Insurance sectors. You should have experience in statistical modelling (Logistic / Linear regression, GLM modelling, Time-series forecasting, Scorecard development etc.). Hands-on experience in one or more Statistics tools such as SAS, Python & R is required. Experience in Tableau and Qlikview would be a plus. Data mining experience including Clustering and Segmentation is essential. Additionally, experience in Machine learning and Python would be advantageous. To qualify for the role you must have Candidates must have a B Tech from a top-tier engineering school or a Masters in Statistics / Economics from a top university. A minimum of 6 years of relevant experience is required, with at least 1 year of managerial experience for Senior Consultant, 1 year for Associate Consultant, and 3 years for Consultant. Ideally you'll also have Strong communication, facilitation, relationship-building, presentation, and negotiation skills are important for this role. Being highly flexible, adaptable, and creative is desired. Comfortable interaction with senior executives within the firm and at the client is necessary. Strong leadership skills and supervisory responsibility are also key attributes. What we look for We seek individuals with the ability to work collaboratively and provide services across multiple client departments while adhering to commercial and legal requirements. A practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions is essential. What working at EY offers EY is committed to being an inclusive employer and is open to considering flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service while allowing you to build your career without sacrificing your personal priorities. While travel may be required for client-facing professionals, our flexible working arrangements can help you achieve a lifestyle balance. About EY EY is a global leader in assurance, tax, transaction, and advisory services, using the finance products, expertise, and systems developed to build a better working world. We believe in giving you the training, opportunities, and creative freedom to make things better. With a commitment to hiring and developing passionate people, we aim to be the best employer by 2020. If you meet the criteria above, please contact us as soon as possible.,

You will be working as a Senior AI/ML Developer, where your primary responsibility will be to design, develop, and implement advanced AI/ML algorithms and models. You will collaborate with cross-functional teams to understand business needs and translate them into technical requirements. Additionally, you will be expected to research and explore new AI/ML techniques and technologies. You must have a minimum of 3 years of experience in AI/ML development to qualify for this role. Your educational background should include MCA, BE/B.Tech-IT/Computer, or MSC-IT. Strong programming skills in Python, Django, and Flask are essential for this position. Expertise in machine learning algorithms and techniques such as supervised learning, unsupervised learning, and deep learning is required. Furthermore, you should have experience with natural language processing (NLP) and computer vision. Familiarity with popular AI/ML frameworks and libraries like TensorFlow, PyTorch, and Keras is preferred. Knowledge of cloud platforms such as AWS and Azure is also desirable. As a Senior AI/ML Developer, you will be responsible for training and optimizing AI/ML models on large datasets, evaluating and improving model performance, and collecting, cleaning, and preprocessing data from various sources. Staying up-to-date with the latest trends and developments in the AI/ML field is crucial. In addition to technical responsibilities, you will be expected to mentor and guide junior developers, providing technical expertise, and fostering a culture of continuous learning and improvement. Excellent problem-solving and analytical skills are essential for this role, along with the ability to work both independently and as part of a team. A passion for AI/ML and a desire to make a significant impact in this field are important qualities we are looking for. Proficiency in data visualization tools such as Tableau, Power BI, matplotlib, and seaborn is a plus. Knowledge of software engineering best practices, including version control, Docker, testing, and CI/CD, is highly valued. Experience working in Agile development methodologies will be an advantage.,

As a Senior Python Developer, you will be responsible for designing, developing, and maintaining scalable Python applications and AI-powered solutions. Your primary focus will be collaborating with cross-functional teams to understand requirements and create, train, deploy, and optimize machine learning and AI applications. You will integrate AI/ML models into production environments with robust error handling, logging, and monitoring. In this role, you will implement and enhance data preprocessing pipelines to ensure data quality for training and inference. Your responsibilities will include conducting research to explore new AI/ML technologies, frameworks, and practices to enable teams. You will be expected to write clean, testable, and efficient code following best practices for software development and debug and improve the performance, scalability, and reliability of Python-based applications. To succeed in this position, you must have proficiency in Python and its libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, NumPy, and Flask/Django. Hands-on experience with ML algorithms including supervised and unsupervised learning, reinforcement learning is required. Additionally, knowledge of natural language processing (NLP), computer vision, or deep learning techniques is preferred. Familiarity with AI-driven tools and architectures is a plus. A solid understanding of data structures, preprocessing techniques, and feature engineering is essential for this role. Experience deploying AI/ML models using frameworks like Docker, Kubernetes, or AWS/GCP/Azure cloud services will be beneficial. If you are someone who is passionate about Python development and AI technologies, and possess the required skills and experience, we encourage you to apply for this position and be a part of our dynamic team.,

As a Data Operations Analyst at YipitData, you will be responsible for developing custom product attribution solutions based on unique customer needs. Your role will involve working closely with corporate retail and brand customers to understand their category structures and execute the mapping of products to their requirements using manual tagging and machine learning tools. Your strong technical background, including skills in Python, Pyspark, and SQL, will be essential in ensuring high-quality results. You will play a critical role in interpreting and executing design decisions with strong judgment to align data mapping with customer specifications and business goals. Collaboration with cross-functional teams will be key to planning and delivering projects on time with a high degree of accuracy. Continuously monitoring and improving product attribution processes to increase efficiency and quality will be part of your responsibilities. To succeed in this role, you should have 1-2 years of experience in data operations, proficiency in data analysis, tagging systems, and machine learning tools. Your knowledge of consumer product data and experience working with retail or brand data will be beneficial. Exceptional attention to detail, problem-solving skills, and the ability to manage multiple tasks while maintaining accuracy are essential qualities for this position. Preferred skills for this role include experience with data management platforms, product attribution systems, or machine learning tools, as well as familiarity with data mapping, tagging, and categorization practices. Strong communication and collaboration skills are required to work effectively with internal teams and external clients. If you are a proactive individual with technical skills and a passion for data and product attribution, this fully-remote opportunity based in India starting on June 30, 2025, could be the right fit for you. Join our dynamic team at YipitData and help shape the future of data operations for retail and brand customers. Our compensation package includes comprehensive benefits, perks, and a competitive salary ranging from 16,60,000 - 20,75,000 INR annually. We value your personal life and offer benefits such as vacation time, medical insurance, parental leave, and learning reimbursement. At YipitData, your growth is determined by the impact you make, fostering an environment focused on ownership, respect, and trust where everyone is empowered to learn and master their skills. Apply today to be part of our team and contribute to the success of our clients and the company.,

As a candidate for this full-time position based in Mahape, Navi Mumbai, you are expected to have a certain level of technical proficiency and familiarity with various programming languages and web development concepts. While freshers are not required to be experts, it is essential to showcase hands-on experience in the following areas. Firstly, you should have a basic exposure to programming languages such as Node.js, Python, Java, Git, and SQL/NoSQL databases like Postgres and MongoDB. Additionally, a good understanding of web development fundamentals including HTML5, CSS3, JavaScript, and familiarity with React.js or Angular is preferred. Moreover, you are expected to be acquainted with RESTful APIs, exposure to AI/ML concepts, and experience with Python ML libraries like NumPy, Pandas, Scikit-learn, FastAPI, and Langchain. Knowledge of Machine Learning principles, supervised vs unsupervised learning, and basic concepts of LLMs or Prompt Engineering are also desirable. Familiarity with RAG (Retrieval-Augmented Generation) concepts, as well as having worked on AI/ML projects, either academically, in hackathons, or on personal GitHub repositories, will be advantageous. Awareness of cloud platforms such as AWS, Azure, or GCP is a plus. In terms of educational background, candidates with a degree in B.E., B.Tech, B.Sc, or MCA in Computer Science or related fields are preferred. Recent graduates from the 2023-2025 batches are encouraged to apply, with a strong emphasis on academic projects, open-source contributions, or participation in coding competitions. If you meet these requirements and are interested in this opportunity, please share your resume with tanaya.ganguli@arrkgroup.com. This is a full-time position, and the job posting was made on 05/08/2025.,

As an Embedded Radar AI/ML Engineer at Aptiv, you will play a crucial role in developing cutting-edge perception systems essential for autonomous vehicles. Your primary responsibility will involve designing and implementing state-of-the-art radar and AI/ML technologies on embedded platforms to create market-leading perception solutions that support Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD) features. Your key responsibilities will include designing and developing AI-focused perception systems for automotive radar applications, optimizing and implementing Aptiv's advanced Radar ML algorithms on embedded platforms, and creating efficient real-time integrations of complex algorithms for AI System-on-Chips (SoCs). You will also be tasked with defining clean interfaces between algorithm components and embedded systems, developing tools and methodologies to enhance development workflows, and evaluating hardware platforms that meet AI/ML requirements. To qualify for this role, you should hold a Master's or Ph.D. in Computer Science, Electrical Engineering, Physics, Mathematics, or a related technical field. Additionally, you must have proven programming expertise in Python with at least 2 years of professional experience, demonstrated experience in developing deep learning solutions, and a working knowledge of embedded software development principles and constraints. Strong analytical skills, a solid mathematical foundation, and excellent communication skills are also essential for success in this position. Preferred qualifications for this role include proficiency in C/C++ programming, experience with code optimization and low-level embedded architectures, knowledge of instruction sets, memory architectures, FPGAs, DSPs, and AI accelerators, and hands-on experience with Texas Instruments hardware and Deep Learning Software Library. Moreover, a track record of collaborative software development in team environments, automotive industry experience, and familiarity with automotive software development standards and processes will be advantageous. By joining Aptiv, you will have the opportunity to contribute to the future of mobility and work towards making transportation safer, greener, and more connected. In addition to a supportive work environment that fosters growth and development regardless of gender, ethnicity, or beliefs, you will also have access to a range of benefits such as hybrid and flexible working hours, higher education opportunities, life and accident insurance, well-being programs, access to fitness clubs, and more, ensuring your holistic well-being and professional growth.,

As a ML Platform Product Manager at Autodesk, you will play a crucial role in defining and executing the multi-year product roadmap for Autodesk Machine Learning Platform. Your responsibilities will revolve around ensuring a deep understanding of the strategic vision and the evolving needs of the diverse customer base. Your creativity will inspire enhanced user experiences for our customers as you collaborate closely with data scientists, engineers, and partners to develop and launch platform tools. These tools will enable the seamless integration of ML and AI features into Autodesk's software products, ultimately driving value and great user experiences for our platform users. Your key responsibilities will include defining and executing the product roadmap for the ML platform, with a specific focus on the Inference Service and AI/ML observability. Collaboration with other product managers to identify ML/AI opportunities at Autodesk and guide platform adoption will be essential. Additionally, you will be responsible for maintaining documentation for the ML platform, which includes user guides, API documentation, and release notes. Analyzing platform performance, usage, and customer feedback to inform product improvements and feature enhancements will be part of your routine tasks. Building strong relationships with internal and external stakeholders, including customers, partners, and vendors, will be crucial for success in this role. You will need to stay current on industry trends, emerging technologies, and best practices in the ML and AI space to inform product strategy and maintain a competitive edge. Promoting a culture of innovation, experimentation, and data-driven decision-making within the product management team and across the organization will also be a key aspect of your responsibilities. To qualify for this role, you should hold a Bachelor's degree in computer science, engineering, data science, or a related field. Additionally, you should have at least 5 years of experience in product management, with a focus on ML or AI platforms, tools, and neural network technologies. A deep understanding of machine learning and AI concepts, algorithms, and technologies, along with experience in communicating product updates, milestones, and progress to internal and external partners, is required. Familiarity with large foundation models, generative models, and transformer-based architecture will be advantageous. If you are passionate about shaping the future of ML and AI technologies, and if you thrive in a collaborative and innovative environment, we invite you to join Autodesk and be part of a culture that values authenticity, diversity, and meaningful work. Your contributions will help build a better future for all, and your efforts will be rewarded as part of Autodesk's competitive compensation package, which includes base salaries, bonuses, commissions, stock grants, and comprehensive benefits. Join us at Autodesk and make a difference!,

Job Role: Data Science Location: Onsite: Mumbai/Delhi/Bangalore Job Type: Full Time Job Description: Responsibilities: Looking for hands-on experienced candidates with experience in statistical analysis, Modelling, ML/AI, Deep Learning etc. with Python/R platforms. Focussed industries are: BFSI/Retail/Telecom/Manufacturing/Automotive/FMCG/Healthcare/Pharma. Skills Requirements: 3 - 11 years of experience in Data Science Excellent presentation and communication skills (Oral and written) skills. Is able to design and review new solution concepts using Time series forecasting, Regression/Classification Modeling and Clustering techniques. Good understanding of statistical concepts Experience in Machine learning and Deep learning Deep Expertise in either R / Python / SAS Knowledge of analytical models like marketing mix models, pricing and promotion optimization, customer value management, next best recommendation, segmentation, sales spend optimization and demand forecasting. Should be able to evaluate & bring in advanced techniques to enhance the value-add for clients. Should have experience in Cloud based analytics platform – Azure, GCP or AWS Good understanding and suitable familiarity with different DBMS – know SQL quite well. Job Type: Full-time Pay: ₹2,000,000.00 - ₹3,500,000.00 per year Work Location: In person

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 Role Purpose The purpose of the role is to create exceptional and detailed architectural application design and provide thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. ͏ Do 1. Develop architectural application for the new deals/ major change requests in existing deals a. Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable. b. Manages application assets and directs the development efforts within an enterprise to improve solution delivery and agility c. Guides how to construct and assemble application components and services to support solution architecture and application development d. Maintains the frameworks and artefacts used in the implementation of an application, with reference to the systematic architecture of the overall application portfolio e. Responsible for application architecture paradigms such as service-oriented architecture (SOA) and, more specifically, microservices, ensuring business achieve agility and scalability for a faster time to market ͏ f. Provide solution of RFP’s received from clients and ensure overall design assurance Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives Analyse technology environment, enterprise specifics, client requirements to set a collaboration design framework/ architecture Depending on the client’s need with particular standards and technology stacks create complete RFPs Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions Clearly articulate and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Evaluate and recommend solutions to integrate with overall technology ecosystem Tracks industry and application trends and relates these to planning current and future IT needs g. Provides technical and strategic inputs during the project planning phase in the form of technical architectural designs and recommendations h. Account mining to find opportunities in the existing clients i. Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture. j. Identifies implementation risks and potential impacts. k. Create new revenue streams within applications as APIs that can be leveraged by clients l. Bring knowledge of automation in application by embracing Agile and dev-ops principles to reduce manual part ͏ 2. Understanding application requirements and design a standardize application a. Creating Intellectual Property in forms of services, patterns, models and organizational approaches b. Designing patterns, best practices and reusable applications that can be used for future references c. Ensure system capabilities are consumed by system components and set criteria for evaluating technical and business value in terms of Tolerate, Invest, Migrate and Eliminate d. Provide platform to create standardize tools, uniform design and techniques are maintained to reduce costs of maintenance e. Coordinating input on risks, costs and opportunities for concepts f. Developing customised applications for the customers aligned with their needs g. Perform design and code reviews thoroughly on regular basis, keeping in mind the security measures h. Understanding design and production procedures and standards to create prototypes and finished products i. Work closely with systems analysts, software developers, data managers and other team members to ensure successful production of application software j. Offer viable solutions for various systems and architectures to different types of businesses k. Seamless integration of new and existing systems to eliminate potential problems and maintain data structure and bring value in terms of development l. Transforming all applications into digital form and implement and evolve around mesh app and service architecture that support new technologies like IOT, blockchain, machine learning, automation, BOTS etc ͏ m. Cloud Transformation: (Migration) Understanding non-functional requirements Producing artefacts such as deployment architecture, interface catalogue Identify internal and external dependency, vendor and internal IT management Support build and testing team n. Cloud Transformation: (Modernization) Understanding and Defining target architecture in Integration space Assessing project pipeline / demand and align to target architecture Technical support of delivery team in terms and POC and technical guidance o. Keep Up-to-date with the latest technologies in the market Mandatory Skills: Fullstack Java Enterprise. Experience: 8-10 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.