10940 Regression Jobs - Page 24

When you join Verizon You want more out of a career. A place to share your ideas freely even if theyre daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work, and play by connecting them to what brings them joy. We do what we love driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What Youll Be Doing... In this role, you will work on a suite of application systems geared to support users within several internal departments in processing CPQ functionalities, including sales pricing and contracting. As a key member of the transformation programs, you will design and implement highly scalable, highly available applications for Verizon. Enterprise Application Design, Development for high scale and availability. Coding, validating and implementing software solutions. Gaining knowledge of the existing system architecture and flow. Participate in requirements review meetings and perform requirement analysis. Understanding and implement nonfunctional requirements such as performance tuning, infrastructure uplifts, etc. Building reusable libraries and services. Understanding and presenting functional background and KPIs on a release basis. Embracing DevOps 100 PERCENT and ensure good operational metrics with SonarQube issues, Unit Test case coverage, Code Review, Security Vulnerabilities, and Regression Automation. Delivering Technical Initiatives independently. Learning and Collaborating with Architect SME on threat modeling for new development. Communicating with external teams, including business clients, on various issues and resolutions to provide the best user experience. Partnering with QA team to address the identified defects on time. Learning and adopting new concepts & technologies quickly and implement them effectively in projects. Owning and driving a couple of modules within the project by working with distributed teams. Working effectively under pressure to meet critical deadlines. Bringing in innovative ideas that will improve the user experience and reduce the manual work involved. Working effectively under pressure to meet critical deadlines. Where youll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. What Were Looking For... Youll need to have: Bachelors degree with four or more years of work experience. Four or more years of relevant work experience. Experience required, demonstrated through work experience and/or military experience. Strong hands-on expertise in developing web applications using React with Micro frontend, HTML, JavaScript & CSS. Working knowledge and coding experience in Java 8, Spring Boot, Microservices, Oracle/SQL, XML, JSON. Hands-on experience in developing web applications using React & Micro-frontend. Exposure to DevOps technologies like GIT, Jenkins, Logstash, Kibana, etc. Experience with large-scale transformation initiatives primarily on Customer Interaction Channels. Experience and knowledge of agile software delivery methodologies. Experience in full project life cycle implementation. Strong communication and presentation skills, ability to translate business needs into technical terms, and problem-solving skills. Ability to thrive in a dynamic environment and meet critical deadlines. Even better if you have one or more of the following: A Masters degree in Engineering/ Technology / Computer Applications. Exposure to Telecom domain, especially on Pricing & Contracting functionalities. Strong understanding of secure code by design and application security. Exposure to emerging technologies like NLP, AI, RPA, Bots, etc. Good to have hands-on experience with building responsive web applications using HTML5, CSS, JavaScript, React. Exposure to Cloud concepts (AWS or OCI), DevOps tools, and techniques. If Verizon and this role sound like a fit for you, we encourage you to apply even if you dont meet every even better qualification listed above. Where youll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability, or any other legally protected characteristics. Locations Chennai, India Hyderabad, India

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent thats bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com. Looking to jump-start your career? We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry. We are offering a global fast-track career where you can grow along with Indegenes high-speed growth. We are purpose-driven. We enable healthcare organizations to be future ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work. Must Have Senior Manager - Data & Analytics You Will Be Responsible For Experienced analytics consulting professional, who can handle a breadth of commercial analytics projects, specifically marketing mix, customer and brand performance analytics projects with proficiency. Leverage popular analytics tools (Python/R) and statistical/data science packages to deliver a variety of analytics projects. Types of advanced analytics problems may include: Customer scoring & affinity modeling Customer Segmentation basic and advanced methodologies Promotion Response & Marketing Mix Modeling Customer journey and NBA Sales Force Analytics/SFE Deliver various types of analytics projects, ranging from data wrangling, AI/ML, business intelligence, ad-hoc analytics to delivering complex business operations projects on an ongoing basis, depending on the needs of the client. Provide technical and business leadership/mentorship to junior team members; groom them for additional responsibilities. Collaborate with other members within the team to innovate through automation/new ideas/capabilities/tools. Lead client communication, providing clients with periodic updates and insights/recommendations through appropriate channels (conference calls/emails). Meaningfully communicate insights and information to a broad group of stakeholders through excellent oral and written communication. Must have: Desired Profile (Experience, Key Skills) 8 years of experience Proficiency in handling small and large datasets through Excel/VBA, MS Access / SQL Server, Python/R Knowledge of statistics and ability to run predictive/machine learning models in Python/R Ability to automate SFE dashboards/processes per client requirements in Excel/PPT or other platforms Experience in data visualization platforms like Tableau, Power BI, Qlik View (nice to have) Ability to perform advance analytics analyses such as regression analysis, clustering (K-Mean, Random-forest, Deciling etc.), time series modeling etc. Experience in pharmaceutical commercial analytics is a must have Strong presentation and communication skills Nice to have: (Additional desired qualities) Perks: (Mention if any, otherwise ignore) EQUAL OPPORTUNITY Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidates merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics. Locations Bangalore, KA, IN

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent thats bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com. Looking to jump-start your career? We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry. We are offering a global fast-track career where you can grow along with Indegenes high-speed growth. We are purpose-driven. We enable healthcare organizations to be future-ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work. Must Have Senior Manager - Data & Analytics You Will Be Responsible For Experienced analytics consulting professional, who can handle a breadth of commercial analytics projects, specifically marketing mix, customer and brand performance analytics projects with proficiency Leverage popular analytics tools (Python/R) and statistical/data science packages to deliver a variety of analytics projects Types of advanced analytics problems may include: Customer scoring & affinity modeling Customer Segmentation basic and advanced methodologies Promotion Response & Marketing Mix Modeling Customer journey and NBA Sales Force Analytics/SFE Deliver various types of analytics projects, ranging from data wrangling, AI/ML, business intelligence, ad-hoc analytics to delivering complex business operations projects on an ongoing basis, depending on the needs of the client Provide technical and business leadership/mentorship to junior team members; groom them for additional responsibilities Collaborate with other members within the team to innovate through automation/new ideas/capabilities/tools Lead client communication, providing clients with periodic updates and insights/recommendations through appropriate channels (conference calls/emails) Meaningfully communicate insights and information to a broad group of stakeholders through excellent oral and written communication Desired Profile (Experience, Key Skills) 8 years of experience Proficiency in handling small and large datasets through Excel/VBA, MS Access/ SQL Server, Python/R Knowledge of statistics and ability to run predictive/machine learning models in Python/R Ability to automate SFE dashboards/processes per client requirements in Excel/PPT or other platforms Experience in data visualization platforms like Tableau, Power BI, Qlik View (nice to have) Ability to perform advanced analytics analyses such as regression analysis, clustering (K-Mean, Random-forest, Deciling etc.), time series modeling etc. Experience in pharmaceutical commercial analytics is a must have Strong presentation and communication skills Nice to have: (Additional desired qualities) Perks: (Mention if any, otherwise ignore) Good to have EQUAL OPPORTUNITY Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidates merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics. Locations Hyderabad, TG, IN

Summary As a Product Test, Professional 2 at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve — a community’s most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare’s biggest challenges. Here are the details on this position. Your role in our mission Test your knowledge and expertise in vital ways as you assist in developing innovative, purpose-built technologies. Participate in testing for software product development or support projects to measure the quality of functional (business) system components and the ability to meet business specifications Bring your skills to test planning, scheduling and managing test resources Lead formal test execution phases for larger projects Apply basic knowledge of the industry, functional software product/suites and regulatory issues as you conduct functional testing, diagnose system issues and write integration and system test scripts; configure test questionnaires and other test materials Keep track of the details as you maintain defect reports and updates after regression testing What we're looking for 3 or more years of software product testing experience, inc. development and execution of test-ware from functional design documents in compliance regulatory statutes Knowledge of configuration management, defect tracking, query tools, software productivity tools and templates used to create test scripts and trace matrices Strong verbal and written communication skills to present findings to team members, effectively interact with client during project team meetings and enable the writing of step-based test materials Good organization, people management and time management skills complemented by analytical problem-solving skills to effectively drive impact for our clients A collaborative team player who can work effectively with a diverse global team distributed across geographies and time zones What you should expect in this role Opportunities to travel through your work (0-10%) Competency1 Competency2 Competency3 Competency4 Competency5

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job Responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 3+ years applied experience in mobile automation (Android / iOS) Experience of application, data, and infrastructure architecture disciplines. Experience in one or more development languages (e.g., Java, JavaScript, Python, Ruby, C++, C#, SQL, etc.). Experience with mobile development and emulator packages (e.g., Android SDK, iOS XCode, SWIFT, Appium). Experience in software skills such as business analysis, development, maintenance, and software improvement. Proven experience in scrum, functional, integration, and regression testing. Strong verbal and written communication skills, with excellent analytical abilities. Ability to work independently and make sound decisions with good judgment. Preferred Qualifications, Capabilities, And Skills Familiarity with modern front-end technologies Exposure to cloud technologies ABOUT US

Job Description You are a strategic thinker passionate about driving solutions in Data Annotation and Validation. You have found the right team. As a Data Analyst within our Asset Management Data Science team, you will be responsible for setting and improving our organizational objectives, and ensuring their consistent accomplishment. Job Responsibilities Work on data labeling tools and annotate data for machine learning models. Sift through structured and unstructured data; identify the right content and annotate with the right label. Develop comprehensive test plans and strategies for data science projects, including data validation, model testing, and performance evaluation. Collaborate with stakeholders, including data scientists, data engineers, and product managers. Conduct thorough data validation and verification processes to ensure data accuracy and consistency. Design and execute test cases for models, ensuring they meet performance and accuracy standards. Validate model outputs and conduct regression testing to ensure consistent results. Utilize tools like Snorkel, Datasaur, and Apptek for model performance monitoring, data labeling, and speech annotation. Develop and maintain automated testing scripts and tools to streamline the QA process. Implement continuous integration and continuous deployment (CI/CD) practices for data science projects. Transcribe verbatim audio recordings, single and multi-speaker of varying dialects and accents, and identify relevant keywords and sentiment labels. Build a thorough understanding of data annotation and labeling conventions and develop documentation/guidelines for stakeholders and business partners Required Qualifications, Capabilities, And Skills At least 5 years of hands-on experience in data collection, analysis, or research. Proven experience in data quality assurance, data management, or a similar role. Experience in Python programming. Proficiency in data querying and validation using SQL, with experience in Snowflake . Experience in constructing dashboards to effectively visualize and communicate data insights. Experience with data annotation, labeling, entity disambiguation, and data enrichment. Familiarity with industry-standard annotation and labeling methods and tools like Label Studio, Snorkel, Datasaur, and Apptek. Familiarity with Machine learning and AI paradigms such as text classification, entity recognition, information retrieval. Creative and disruptive, loves embracing the challenge of rigorous testing to uncover vulnerabilities and enhance system robustness. Understanding of data governance principles and practices. Preferred Qualifications, Capabilities, And Skills Strong financial knowledge is preferred. Familiarity with Machine learning and AI paradigms such as text classification, entity recognition, information retrieval. Strong financial knowledge is preferred. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

Job Description Introduction: A Career at HARMAN - Harman Tech Solutions (HTS) We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN HTS, you solve challenges by creating innovative solutions. Combine the physical and digital, making technology a more dynamic force to solve challenges and serve humanity’s needs. Empower the company to create new digital business models, enter new markets, and improve customer experiences About The Role You will be responsible for driving the strategic direction of our AI and machine learning practice along with other key leaders. This role will involve leading internal AI/ML projects, shaping the technology roadmap, and overseeing client-facing projects including solution development, RFPs, presentations, analyst interactions, partnership development etc. The ideal candidate will have a strong technical background in AI/ML, exceptional leadership skills, and the ability to balance internal and external project demands effectively. In this strategic role, you will be responsible for shaping the future of AI/ML within our organization, driving innovation, and ensuring the successful implementation of AI/ML solutions that deliver tangible business outcomes. What You Will Do Drive Innovation, Differentiation & Growth Develop and implement a comprehensive AI/ML strategy aligned with our business goals and objectives. Ownership on growth of the COE and influencing client revenues through AI practice Identify and prioritize high-impact opportunities for applying AI/ML across various business units, departments and functions. Lead the selection, deployment, and management of AI/ML tools, platforms, and infrastructure. Oversee the design, development, and deployment of AI/ML solutions Define, differentiate & strategize new AI/ML services/offerings and create reference architecture assets Drive partnerships with vendors on collaboration, capability building, go to market strategies, etc. Guide and inspire the organization about the business potential and opportunities around AI/ML Network with domain experts Develop and implement ethical AI practices and governance standards. Monitor and measure the performance of AI/ML initiatives, demonstrating ROI through cost savings, efficiency gains, and improved business outcomes. Oversee the development, training, and deployment of AI/ML models and solutions. Collaborate with client teams to understand their business challenges and needs. Develop and propose AI/ML solutions tailored to client specific requirements. Influence client revenues through innovative solutions and thought leadership. Lead client engagements from project initiation to deployment. Build and maintain strong relationships with key clients and stakeholders. Build re-usable Methodologies, Pipelines & Models Create data pipelines for more efficient and repeatable data science projects Experience of working across multiple deployment environments including cloud, on-premises and hybrid, multiple operating systems and through containerization techniques such as Docker, Kubernetes, AWS Elastic Container Service, and others Coding knowledge and experience in languages including R, Python, Scala, MATLAB, etc. Experience with popular databases including SQL, MongoDB and Cassandra Experience data discovery/analysis platforms such as KNIME, RapidMiner, Alteryx, Dataiku, H2O, Microsoft AzureML, Amazon SageMaker etc. Expertise in solving problems related to computer vision, text analytics, predictive analytics, optimization, social network analysis etc. Experience with regression, random forest, boosting, trees, hierarchical clustering, transformers, convolutional neural network (CNN), recurrent neural network (RNN), graph analysis, etc. People & Interpersonal Skills Build and manage a high-performing team of AI/ML engineers, data scientists, and other specialists. Foster a culture of innovation and collaboration within the AI/ML team and across the organization. Demonstrate the ability to work in diverse, cross-functional teams in a dynamic business environment. Candidates should be confident, energetic self-starters, with strong communication skills. Candidates should exhibit superior presentation skills and the ability to present compelling solutions which guide and inspire. Provide technical guidance and mentorship to the AI/ML team Collaborate with other directors, managers, and stakeholders across the company to align the AI/ML vision and goals Communicate and present the AI/ML capabilities and achievements to clients and partners Stay updated on the latest trends and developments in the AI/ML domain What You Need 12+ years of experience in the information technology industry with strong focus on AI/ML having led, driven and set up an AI/ML practice in IT services or niche AI/ML organizations 10+ years of relevant experience in successfully launching, planning, and executing advanced data science projects. A master’s or PhD degree in computer science, data science, information systems, operations research, statistics, applied mathematics, economics, engineering, or physics. In depth specialization in text analytics, image recognition, graph analysis, deep learning, is required. The candidate should be adept in agile methodologies and well-versed in applying MLOps methods to the construction of ML pipelines. Candidate should have demonstrated the ability to manage data science projects and diverse teams. Should have experience in creating AI/ML strategies & services, and scale capabilities from a technology, platform, and people standpoint. Experience in working on proposals, presales activities, business development and overlooking delivery of AI/ML projects Experience in building solutions with AI/ML elements in any one or more domains – Industrial, Healthcare, Retail, Communication Be an accelerator to grow the practice through technologies, capabilities, and teams both organically as well as inorganically What We Offer Access to employee discounts on world class HARMAN/Samsung products (JBL, Harman Kardon, AKG etc.) Professional development opportunities through HARMAN University’s business and leadership academies. Flexible work schedule with a culture encouraging work life integration and collaboration in a global environment. An inclusive and diverse work environment that fosters and encourages professional and personal development. Tuition reimbursement. “Be Brilliant” employee recognition and rewards program. What Makes You Eligible Be willing to travel up to 25%, domestic and international travel if required. Successfully complete a background investigation as a condition of employment You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If you’re ready to innovate and do work that makes a lasting impact, join our talent community today!

Job Description Internal Audit - Embedded Data - Associate - Hyderabad What We Do Internal Audit’s mission is to independently assess the firm’s internal control structure, including the firm’s governance processes and controls, risk management, capital and anti-financial crime framework. In addition, it is also to raise awareness of control risk and monitor the implementation of management’s control measures. In Doing So, Internal Audit Communicates and reports on the effectiveness of the firm’s governance, risk management and controls that mitigate current and evolving risk Raise awareness of control risk Assesses the firm’s control culture and conduct risks; and Monitors management’s implementation of control measures Goldman Sachs Internal Audit is organized into global teams comprising of business and technology auditors that cover all the firm’s businesses and functions - securities, investment banking, consumer and investment management, risk management, finance, cyber-security and technology risk, and engineering Who We Look For Goldman Sachs Internal Audit comprises individuals from diverse backgrounds including chartered accountants, developers, risk management professionals, cybersecurity professionals, and data scientists. We are organized into global teams comprising business and technology auditors to cover all the firm’s businesses and functions, including securities, investment banking, consumer and investment management, risk management, finance, cyber-security and technology risk, and engineering. Embedded Data Analytics In Internal Audit, we ensure that Goldman Sachs maintains effective controls by assessing the reliability of financial reports, monitoring the firm’s compliance with laws and regulations, and advising management on developing smart control solutions. Embed Data Analytics team leverages its programming and analytical capabilities to build innovative data driven solutions. The team works closely with auditors to understand their pain points and develop data-centric solutions to address the same Your Impact As part of the third line of defense, you will be involved in independently assessing the firm’s overall control environment and its effectiveness as it relates to current and emerging risks and communicating the results to local/ global management. In doing so, you will be supporting the provision of independent, objective and timely assurance around the firm’s internal control structure, thereby supporting the Audit Committee, Board of Directors and Risk Committee in fulfilling their oversight responsibilities. We are looking for a strong data scientist, passionate about using data to challenge the norm, to join our Embed Data Analytics team. The candidate will work closely with the audit teams to build innovative and reusable analytical tools that will help make audit testing more efficient and provide meaningful insights into firm’s control environment Responsibilities Execute on DA strategy developed by IA management within the context of audit responsibilities, such as risk assessment, audit planning, creation of reusable tools and providing innovative solutions to complex problems Partner with audit teams to help identify risks associated with businesses and facilitate strategic data sourcing and develop innovative solutions to increase efficiency and effectiveness of audit testing Build production ready analytical tools to automate repeatable and reusable processes within IA Build and manage relationships and communications with Audit team members Basic Qualifications 3+ years of experience with a minimum of Bachelor’s in Computer Science, Math, or Statistics Experience with RDBMS/ SQL Proficiency in programming languages, such as Python, Java, or C++ Knowledge of basic statistics, including descriptive statistics, data distribution models, Time Series Analysis, correlation, and regression, and its application to data Strong team player with excellent communication skills (written and oral). Ability to communicate what is relevant and important in a clear and concise manner and ability to handle multiple tasks Strong contributing member of Data Science team and help build analytical capabilities for Internal Audit Division Driven and motivated and constantly taking initiative to improve performance Preferred Qualifications Experience with advanced data analytics tools and techniques Familiarity with text analytics and NLP using python Familiarity with machine learning algorithms and exposure to supervised and unsupervised learning - Linear/Logistic Regression, SVM, Random Forest and Boosting, Clustering and Patterns Recognition techniques Experience with analytical/ statistical programs such as SAS, SPSS, and R Experience with visualization tools (Spotfire, Qlikview or Tableau) is a plus Creativity/Innovation, i.e., ability to create new ways to improve current processes and develop practical solutions that add value to department About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.htm

Data Science Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Based on Performance) About INLIGHN TECH INLIGHN TECH is a fast-growing edtech startup offering hands-on, project-based virtual internships designed to prepare students and fresh graduates for today’s tech-driven industry. The Data Science Internship focuses on real-world applications of machine learning, statistics, and data engineering to solve meaningful problems. 🚀 Internship Overview As a Data Science Intern , you'll explore large datasets, build models, and deliver predictive insights. You'll work with machine learning algorithms , perform data wrangling , and communicate your results with visualizations and reports. 🔧 Key Responsibilities Collect, clean, and preprocess structured and unstructured data Apply machine learning models for regression, classification, clustering, and NLP Work with tools like Python, Jupyter Notebook, Scikit-learn, TensorFlow , and Pandas Conduct exploratory data analysis (EDA) to discover trends and insights Visualize data using Matplotlib, Seaborn , or Power BI/Tableau Collaborate with other interns and mentors in regular review and feedback sessions Document your work clearly and present findings to the team ✅ Qualifications Pursuing or recently completed a degree in Data Science, Computer Science, Statistics, or a related field Proficiency in Python and understanding of libraries such as Pandas, NumPy, Scikit-learn Basic knowledge of machine learning algorithms and statistical concepts Familiarity with data visualization tools and SQL Problem-solving mindset and keen attention to detail Enthusiastic about learning and applying data science to real-world problems 🎓 What You’ll Gain Hands-on experience working with real datasets and ML models A portfolio of projects that demonstrate your data science capabilities Internship Certificate upon successful completion Letter of Recommendation for top-performing interns Opportunity for a Full-Time Offer based on performance Exposure to industry-standard tools, workflows, and best practices

Location: Vadodara Type: Full-time / Internship Duration (for interns): Minimum 3 months Stipend/CTC: Based on experience and role About Gururo Gururo is an industry leader in practical, career-transforming education. With a mission to empower professionals and students through real-world skills, we specialize in project management, leadership development, and emerging technologies. Join our fast-paced, mission-driven team and work on AI/ML-powered platforms that impact thousands globally. Who Can Apply? Interns: Final-year students or recent graduates from Computer Science, Data Science, or related fields, with a strong passion for AI/ML. Freshers: 0–1 years of experience with academic or internship exposure to machine learning projects. Experienced Professionals: 1+ years of hands-on experience in AI/ML roles with a demonstrated portfolio or GitHub contributions. Key Responsibilities Design and develop machine learning models and AI systems for real-world applications Clean, preprocess, and analyze large datasets using Python and relevant libraries Build and deploy ML pipelines using tools like Scikit-learn, TensorFlow, PyTorch Work on NLP, Computer Vision, or Recommendation Systems based on project needs Evaluate models with appropriate metrics and fine-tune for performance Collaborate with product, engineering, and design teams to integrate AI into platforms Maintain documentation, participate in model audits, and ensure ethical AI practices Use version control (Git), cloud deployment (AWS, GCP), and experiment tracking tools (MLflow, Weights & Biases) Must-Have Skills Strong Python programming skills Hands-on experience with one or more ML frameworks (Scikit-learn, TensorFlow, or PyTorch) Good understanding of core ML algorithms (classification, regression, clustering, etc.) Familiarity with data wrangling libraries (Pandas, NumPy) and visualization (Matplotlib, Seaborn) Experience working with Jupyter Notebooks and version control (Git) Basic understanding of model evaluation techniques and metrics Good to Have (Optional) Exposure to deep learning, NLP (transformers, BERT), or computer vision (OpenCV, CNNs) Experience with cloud ML platforms (AWS SageMaker, GCP AI Platform, etc.) Familiarity with Docker, APIs, and ML model deployment workflows Knowledge of MLOps tools and CI/CD for AI systems Kaggle profile, published papers, or open-source contributions What You’ll Gain Work on real-world AI/ML problems in the fast-growing EdTech space Learn from senior data scientists and engineers in a mentorship-driven environment Certificate of Internship/Experience & Letter of Recommendation (for interns) Opportunities to lead research-driven AI initiatives at scale Flexible work hours and performance-based growth opportunities End-to-end exposure — from data collection to model deployment in production

Description Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. Amazon's evolution is driven by the spirit of innovation that is part of the company's DNA. Amazon Seller Services is looking for a Data Scientist to work hands on from concept to delivery on generative AI, statistical analysis, prescriptive and predictive analysis, and machine learning implementation projects. We are looking for a problem solver with strong analytical skills and a solid understanding of statistics & Machine learning algorithm as well as a practical understanding of collecting, assembling, cleaning and setting up disparate data from enterprise systems. Key job responsibilities Responsibilities Ability to understand a business problem and the available data and identify what statistical or ML techniques can be applied to answer a business question Given a business problem, estimate solution feasibility and potential approaches based on available data Understand what data is available, where, and how to pull it together. Work with partner teams where needed to facilitate permissions and acquisition of required data Quickly prototype solutions and build models to test feasibility of solution approach Build statistical models/ ML models, train and test them to and drive towards the optimal level of model performance Improve existing processes with development and implementation of state of the art generative AI models Work with technology teams to integrate models by wrapping them as services that plug into Amazon's marketplace and fulfillment systems Work across the spectrum of reporting and data visualization, statistical modeling and supervised learning tools and techniques and apply the right level of solution to the right problem The problem set covers aspects of detecting fraud and abuse, improving performance, driving lift and adoption, recommend the right upsell to the right audience, cost saving, selection economics and several others. Basic Qualifications 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 5+ years of data scientist experience Experience with statistical models e.g. multinomial logistic regression Preferred Qualifications Experience working with data engineers and business intelligence engineers collaboratively Experience managing data pipelines Experience as a leader and mentor on a data science team Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka - A66 Job ID: A2815591

We use cookies to offer you the best possible website experience. Your cookie preferences will be stored in your browser’s local storage. This includes cookies necessary for the website's operation. Additionally, you can freely decide and change any time whether you accept cookies or choose to opt out of cookies to improve website's performance, as well as cookies used to display content tailored to your interests. Your experience of the site and the services we are able to offer may be impacted if you do not accept all cookies. Press Tab to Move to Skip to Content Link Skip to main content Home Page Home Page Life At YASH Core Values Careers Business Consulting Jobs Digital Jobs ERP IT Infrastructure Jobs Sales & Marketing Jobs Software Development Jobs Solution Architects Jobs Join Our Talent Community Social Media LinkedIn Twitter Instagram Facebook Search by Keyword Search by Location Home Page Home Page Life At YASH Core Values Careers Business Consulting Jobs Digital Jobs ERP IT Infrastructure Jobs Sales & Marketing Jobs Software Development Jobs Solution Architects Jobs Join Our Talent Community Social Media LinkedIn Twitter Instagram Facebook View Profile Employee Login Search by Keyword Search by Location Show More Options Loading... Requisition ID All Skills All Select How Often (in Days) To Receive An Alert: Create Alert Select How Often (in Days) To Receive An Alert: Apply now » Apply Now Start apply with LinkedIn Please wait... Test Lead - Playwright Job Date: Jul 19, 2025 Job Requisition Id: 62014 Location: Pune, IN Bangalore, KA, IN IN Hyderabad, TG, IN Indore, IN YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire Playwright Professionals in the following areas : Job Description: Experience required: 7+ years Developing and executing test plans and test cases. Identifying, documenting, and tracking software defects. Performing various types of testing (functional, regression, performance, security). Collaborating with developers and other stakeholders to resolve issues. Providing feedback on software quality and the development process. Staying up-to-date with testing tools and methodologies. Good hands on Playwright Automation. Azure DevOps CI/CD pipeline understanding At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture Apply now » Apply Now Start apply with LinkedIn Please wait... Find Similar Jobs: Careers Home View All Jobs Top Jobs Quick Links Blogs Events Webinars Media Contact Contact Us Copyright © 2020. YASH Technologies. All Rights Reserved.

We use cookies to offer you the best possible website experience. Your cookie preferences will be stored in your browser’s local storage. This includes cookies necessary for the website's operation. Additionally, you can freely decide and change any time whether you accept cookies or choose to opt out of cookies to improve website's performance, as well as cookies used to display content tailored to your interests. Your experience of the site and the services we are able to offer may be impacted if you do not accept all cookies. Press Tab to Move to Skip to Content Link Skip to main content Home Page Home Page Life At YASH Core Values Careers Business Consulting Jobs Digital Jobs ERP IT Infrastructure Jobs Sales & Marketing Jobs Software Development Jobs Solution Architects Jobs Join Our Talent Community Social Media LinkedIn Twitter Instagram Facebook Search by Keyword Search by Location Home Page Home Page Life At YASH Core Values Careers Business Consulting Jobs Digital Jobs ERP IT Infrastructure Jobs Sales & Marketing Jobs Software Development Jobs Solution Architects Jobs Join Our Talent Community Social Media LinkedIn Twitter Instagram Facebook View Profile Employee Login Search by Keyword Search by Location Show More Options Loading... Requisition ID All Skills All Select How Often (in Days) To Receive An Alert: Create Alert Select How Often (in Days) To Receive An Alert: Apply now » Apply Now Start apply with LinkedIn Please wait... Sr. Test Engineer - Manual Testing Job Date: Jul 19, 2025 Job Requisition Id: 61961 Location: Pune, IN Pune, MH, IN YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire Manual Testing Professionals in the following areas : Job Description: QA Engineer - Manual QA | Experience – 5+ years I Short – term engagement – 3 to 6 months Positions: QA Engineer (Manual Testing) Position Purpose: To carry out Manual testing of the product through different release cycles. Qualification / Experience: B.Tech/B.E in Engineering with 5+ years of relevant QA experience. Technical Skills: Good understanding of all phases of testing lifecycle Good analytical and problem-solving skills Knowledge of how to perform software deployment. Experience in identification of test scenarios, write test cases & build test plan. Acquire and manage test data required by the test plan. Document and report test results in a timely manner using provided systems for test results reporting and defect tracking. Perform Sanity and regression testing. Self-motivated, proactive, works well under pressure. Should work under minimal guidance Quick learner Good To Have: Prior work experience in Oil and Gas industry Additional General Requirements: Excellent Verbal and Written communication skills Collaborates well with the team. At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture Apply now » Apply Now Start apply with LinkedIn Please wait... Find Similar Jobs: Careers Home View All Jobs Top Jobs Quick Links Blogs Events Webinars Media Contact Contact Us Copyright © 2020. YASH Technologies. All Rights Reserved.

Company Description Experian unlocks the power of data to create opportunities for consumers, businesses and society. We gather and analyse data in ways others can't. We help individuals take financial control and access financial services, businesses make smarter decision and succeed, lenders lend more responsibly, and organisations prevent identity fraud and crime. For more than 125 years, we've helped consumers and clients prosper, and economies and communities flourish – and we're not done. Our 17,800 people in 45 countries believe the possibilities for you, and our world, are growing. We're investing in new technologies, experienced people and new ideas so we can help create a better tomorrow. Job Description We are looking for a Data Modeller to help us unlock our vast amounts of data with modelling and advanced analytics, allowing us to make smarter decisions and deliver even better products to our clients. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high-quality prediction systems and automated scores using machine learning, integrated with our products. You will also support our business teams, pre-sales and analytics to ensure product creation. Suited to someone who has 3 to 4 years' experience core analytics function of a large bank / consulting firm and with experience handling large data volumes using data analysis tools and generating good data insights. What You'll Do Deliver high quality analytical and value-added services for the clients while following timelines as promised to the client. You'll play an important role to Engage Business/Technical Consultants and delivery teams so that there is a shared understanding and agreement as to deliver proposed solution You will Use analysis and customer insights to develop value propositions for customers Qualifications What you'll need to bring to the party Understanding of machine learning techniques and algorithms, such as Gradient Boost, KNN, etc. Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Decision Tree Decent understanding and hands-on of statistical modelling/data analysis tools especially Python, Pyspark or SAS and market trends Applied statistics skills, such as distributions, statistical testing, regression etc. Understanding of decisioning and portfolio management in banking and financial services would be added advantage Understanding of credit bureau would be an added advantage Additional Information Benefits package includes: Great compensation package. Core benefits include, Group mediclaim Insurance, Sharesave scheme and more! 25 days annual leave & 10 sick leaves. Car Lease policy Role Location: Mumbai Experian is an equal opportunities employer Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here

Description Are you excited about delighting millions of customers by driving the most relevant marketing initiatives? Do you thrive in a fast-moving, large-scale environment that values data-driven decision making and sound scientific practices? Amazon is seeking a Data Scientist . This team is focused on driving key priorities of a)core shopping that elevates the shopping CX for all shoppers in all lifecycle stages, b) developing ways to accelerate lifecycle progression and build foundational capabilities to address the shopper needs and c)Alternate shopping models We are looking for a Data Scientist to join our efforts to support the next generation of analytics systems for measuring consumer behavior using machine learning and econometrics at big data scale at Amazon. You will work machine learning and statistical algorithms across multiple platforms to harness enormous volumes of online data at scale to define customer facing products and measure customer responses to various marketing initiatives. The Data Scientist will be a technical player in a team working to build custom science solutions to drive new customers, engage existing customers and drive marketing efficiencies by leveraging approaches that optimize Amazon’s systems using cutting edge quantitative techniques. The Right Candidate Needs To Be Fluid In Data warehousing and EMR (Hive, Pig, R, Python). Feature extraction, feature engineering and feature selection. Machine learning, causal inference, statistical algorithms and recommenders. Model evaluation, validation and deployment. Experimental design and testing. Basic Qualifications 8+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience 7+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience Experience with statistical models e.g. multinomial logistic regression Preferred Qualifications -Experience processing, filtering, and presenting large quantities (100K to Millions of rows) of data -Experience with statistical analysis, data modeling, machine learning, optimizations, regression modeling and forecasting, time series analysis, data mining, and demand modeling -Experience applying various machine learning techniques, and understanding the key parameters that affect their performance -Excellent written and verbal communication skills. Strong ability to interact, communicate, present, and influence within multiple levels of the organization. - Experience in an operational environment developing, fast-prototyping, piloting and launching analytic products -Experience in writing academic-styled papers for presenting both the methodologies used and results for data science projects. - Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately understand cause and effect relations -Experience in creating data driven visualizations to describe an end-to-end system -Excellent written and verbal communication skills. The role requires effective communication with colleagues from computer science, operations research and business backgrounds. -Ability to work on a diverse team or with a diverse range of coworkers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A2778125

Company Overview We are a global fintech leader in securities finance, driving industry transformation through innovative, market-leading technology. Our SaaS solutions and tailored services support financial institutions across every stage of the securities finance lifecycle from trading and post-trade processing to data, analytics, regulatory compliance, and end-to-end securities finance platform delivery. Trusted by over 190 institutions in more than 30 markets worldwide, we help clients streamline operations, meet regulatory requirements, and unlock valuable market insights. Team Overview Join our QA technology team as a Senior Software Quality Engineer in our Bengaluru office, where quality is not just a process - it's a mindset. As a Senior Software Quality Assurance Engineer, you'll be an integral part of our global QA function, directly supporting our range of SaaS products. You'll work alongside development and product teams to ensure robust, scalable, and high-performing software that meets the highest standards. This is a fantastic opportunity for someone looking to deepen their automation expertise while playing a hands-on role in impactful, global projects. Role Responsibilities Design and execute comprehensive test strategies for complex enterprise-level applications. Create and maintain detailed test plans, test cases, and test data aligned to business requirements. Lead efforts across both manual and automation testing, contributing to all phases of the testing lifecycle. Collaborate with product, business, and development teams to define test objectives and delivery timelines. Conduct smoke, regression, integration and system testing across web, API and backend layers. Participate in Agile ceremonies and contribute to user story elaboration and acceptance criteria definition. Mentor junior QA engineers, offering technical guidance and best practice recommendations. Continuously monitor and improve automated test coverage and execution within CI/CD pipelines. Investigate defects and application issues, provide thorough documentation, and work with developers on resolutions. Drive continuous validation for high-quality delivery across web applications and distributed systems. Required Skills 2-5 years of commercial experience in software quality assurance, with a blend of automation and manual testing. Strong understanding of testing frameworks, SDLC, QA methodologies, and defect management practices. Proficient in at least one programming language such as Java, Python, or JavaScript for automation scripting. Demonstrated experience with UI and API automation tools like Selenium, Cypress, RestAssured or similar. Working knowledge of CI/CD processes and integration tools such as Jenkins, GitLab or Azure DevOps. Solid understanding of SQL and experience in database testing. Ability to think critically, troubleshoot effectively, and communicate clearly with both technical and non-technical stakeholders. Experience working in Agile/Scrum environments, contributing to story reviews, test scoping, and sprint delivery. Bachelor's degree in Computer Science, Engineering, or a related field is preferred. Role Location Benefits Hybrid Working: Enjoy the flexibility of working remotely each week Variable Pay: Annual performance related variable pay award to reward your performance and contributions to the company's success. Generous Vacation Days Per Year: Take advantage of paid vacation days annually, plus public bank holidays. Family Health Insurance Coverage: Comprehensive health insurance coverage for you and your dependents available from your first day. Personal Accidental Injury Insurance: Feel secure with personal accidental injury insurance provided from the start of your employment. Annual Team Building Retreat: Participate in an annual team-building retreat at a new and exciting location each year Relocation Assistance: If you're relocating from more than 40 miles away, we provide hotel accommodation and travel ticket reimbursement to help ensure a smooth transition. Diversity & Inclusion At EquiLend, we are committed to fostering an inclusive and diverse workplace where everyone is respected and valued. We believe that a variety of perspectives drives innovation and strengthens our success. If you require any reasonable accommodations during the interview process, please let us know - we're here to support you. #LI-Hybrid

Experience Required :5+ years Specialization: Scalable UI Architecture, Performance Engineering, Cross-Platform Front-End Development We are seeking an experienced Senior Front-End Engineer with expertise in React.js, Next.js, and modern front-end ecosystems to design and implement scalable, secure, and high-performing UI architectures for our digital products. The ideal candidate is passionate about performance engineering, accessibility, and maintainable code, and is capable of guiding architecture decisions and mentoring cross-functional teams. You will work closely with designers, backend engineers, and product managers to create seamless and intuitive user experiences across platforms and browsers, contributing to both technical excellence and business impact. Key Responsibilities: Architect and build modular, high-performance UIs using React.js (Hooks, Context API, Suspense) and Next.js (App Router, SSR, SSG). Lead front-end application architecture with micro-frontend patterns, Web Components, and Module Federation. Implement scalable state management using tools like Redux Toolkit, Zustand, or Recoil. Integrate RESTful and GraphQL APIs using Axios, Fetch, Apollo Client, or URQL. Ensure optimal build and bundling using tools like Webpack, Vite, or Rollup. Optimize application performance using code splitting, lazy loading, tree shaking, WebP, asset optimization, and HTTP/2. Maintain security best practices: mitigate OWASP Top 10 issues (XSS, CSRF), enforce CSP, use secure cookies, validate input, and implement secure authentication flows (OAuth2, JWT, Firebase Auth). Deliver pixel-perfect, accessible, and responsive UI using WCAG 2.1 guidelines, semantic HTML, ARIA, Tailwind UI, Material UI, or ShadCn. Conduct performance audits using Lighthouse, React Profiler, and browser DevTools. Own the visual and functional QA process: build tests using Jest, React Testing Library, Cypress, Playwright, and Storybook + Chromatic for visual regression. Collaborate with DevOps to maintain CI/CD pipelines with GitHub Actions, GitLab CI, or CircleCI. Participate in and lead design reviews, documentation efforts, and sprint planning in Agile teams. Utilize AI-powered development tools like GitHub Copilot, Cursor, Cline, or custom LLM-based agents to improve development velocity and test quality. Preferred Skills Bachelor’s/Master’s in Computer Science, Information Technology, or equivalent. 5–12 years of hands-on experience in front-end development, building production-grade React applications with Next.js. Proficient in JavaScript (ES6+), TypeScript, HTML5, CSS3/SCSS. Strong architectural understanding of component design, modularization, micro frontends, and code reuse strategies. Experience with state management tools like Redux Toolkit, Zustand, or Recoil. In-depth understanding of accessibility, cross-browser compatibility, and responsive design. Proficient in Git workflows, npm/yarn/pnpm, and modern IDEs like VSCode. Solid testing practices using unit, integration, and visual regression testing tools. Experience working in monorepos, Module Federation, or multi-team frontend architectures. Familiarity with server-side rendering, static site generation, and edge rendering with Next.js. Experience with containerized environments (Docker) for front-end dev environments. Exposure to RAG, Langchain, or other LLM-based integrations in front-end workflows. Skilled in cross-functional collaboration tools: Figma, Zeplin, Adobe XD, Jira, Confluence. Strong advocacy for performance, UX, accessibility, and clean code practices. Professional Attributes: A passion for clean code and scalable architecture. Strong communication and mentorship skills, with experience onboarding and upskilling developers. Ability to lead through influence and evangelize best practices in front-end engineering. Proactive in problem-solving, with a mindset of ownership and continuous improvement. Work Timings - 3pm -12 am ( including 1 hr break) Job Types: Full-time, Permanent Schedule: Monday to Friday Work Location: In person

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. EY L And D VTH– Quality Analyst – Senior Associate The opportunity We’re looking for professionals with expertise in Quality for our Learning and Development VTH team . This is a fantastic opportunity to be part of a leading firm. Your key responsibilities Develop and execute comprehensive test scenarios and test cases for eLearning applications. Oversee the quality management and assurance processes for digital learning materials, guaranteeing on time delivery and delivering defect-free products. Collaborate with project managers, developers, and instructional designers to understand requirements and ensure quality standards are met. Provide operational oversight, including comprehensive reporting and strategic insights for the management team. Commitment to maintaining project schedules, ensuring the delivery of high-quality work within agreed-upon timeframes. Recommend and drive process for continuous improvement . Skills and attributes for success Experienced in various testing methodologies, including Functional, Accessibility, Regression, Integration, System, Cross-Browser, Exploratory, and Usability Testing. Proficient in Manual Testing Strong knowledge of testing methodologies, tools, and best practices. Comprehensive understanding of the Software Development Life Cycle (SDLC). Deep familiarity with bug tracking and issue management systems. Familiarity with Learning Management Systems (LMS) and eLearning authoring tools (e.g., Articulate, Captivate) is preferred. To qualify for the role, you must have Any Graduate 5+ years of experience in software quality assurance, with a focus on eLearning or educational technology. Ideally, you’ll also have Excel and PowerPoint skills. What we look for A professional, confident, and enthusiastic team player with a flexible can-do attitude. An individual with strong interpersonal skills - confidence, maturity, and ability to build strong client relationships. A strong team player who is comfortable working collaboratively with others What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: EY GDS – Data and Analytics (D&A) – Sr.Manager – Quantum Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 14+ years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 14+ years of experience in Data Science and Machine Learning. Working knowledge of Quantum Engineering Quantum Machine Learning (Data encoding, HHL Algorithm implementation, Quantum linear regression, Euclidean Distance calculations, K-Means clustering, PCA, SVM implementation using Qiskit) Quantum Algorithms (Qiskit, Deutsch Jozsa, Bernstein Vajirani, Simon’s Algorithms) Quantum Deep Learning (Hybrid Quantum Neural Networks) Open-source Quantum Frameworks Qiskit based programming Quantum Optimization (Variational Quantum Eigensolver, Expectation Computation, VQE algorithm, Max-cut graph clustering, Adiabatic Theorem, Approximate Optimization Algorithm, etc) Python as a Programming Language EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 4 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models Utilize optimization tools and techniques, including MIP (Mixed Integer Programming. Deep knowledge of classical AIML (regression, classification, time series, clustering) Drive DevOps and MLOps practices, covering CI/CD and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

We are seeking a skilled Oracle E-Business Suite (EBS) API Consultant with hands-on experience in integrating and extending Oracle EBS modules using public and private APIs. The ideal candidate will have deep expertise in Oracle EBS R12, PL/SQL, and API integration across functional areas such as Financials, SCM, HRMS, and Projects. Key Responsibilities: Design, develop, and maintain custom integrations using Oracle EBS APIs (standard and custom). Work with Oracle standard APIs (like FND, HR, PO, AP, AR, GL, etc.) for data conversion, interface development, and automation. Develop and optimize PL/SQL procedures, functions, packages, and triggers. Collaborate with functional consultants and business users to gather requirements and translate them into technical solutions. Perform end-to-end testing of APIs, interfaces, and data migration scripts. Troubleshoot and resolve API issues, ensuring data accuracy and system performance. Maintain technical documentation, including integration design, API usage, and deployment steps. Provide support for existing EBS customizations and extensions. Participate in system upgrades, patching, and regression testing involving API functionality. Requirements Bachelor’s degree in Computer Science, Information Technology, or related field. 5+ years of experience working with Oracle EBS R12, with a strong focus on APIs and PL/SQL. Deep understanding of EBS architecture and schema. Proven experience with Oracle EBS public APIs and Open Interfaces across various modules. Strong hands-on skills in PL/SQL, Oracle Forms, and Oracle Reports (if applicable). Experience with data conversion and interface development using Oracle APIs. Familiarity with tools like TOAD, SQL Developer, and Oracle Workflow. Excellent problem-solving and debugging skills. Preferred Skills Experience with Oracle Integration Cloud (OIC) or Oracle SOA Suite. Knowledge of EBS modules like OM, INV, WIP, PA, HRMS. Experience with REST/SOAP web services and middleware platforms. Understanding of EBS personalization and extension frameworks (OAF, Forms Personalization). Agile/Scrum project experience. Soft Skills: Strong communication and interpersonal skills. Ability to work independently and in a team environment. Attention to detail and commitment to quality. Excellent time management and organizational skills. Certifications (Nice To Have): Oracle Certified Professional (OCP) – PL/SQL Developer or similar. Oracle EBS Functional or Technical Certification.

Job Description: Role Overview As a Specialist Data/AI Engineer – QA at AT&T, you will be responsible for ensuring the quality, reliability, and performance of data pipelines, AI models, and analytics solutions. You will design and execute comprehensive testing strategies for data and AI systems, including validation of data integrity, model accuracy, and system scalability. Your role is critical to delivering robust, production-ready AI and data solutions that meet AT&T’s high standards. Key Responsibilities Develop and implement QA frameworks, test plans, and automated testing scripts for data pipelines and AI/ML models. Validate data quality, consistency, and accuracy across ingestion, transformation, and storage processes. Test AI/ML model performance including accuracy, bias, robustness, and drift detection. Utilize cloud platforms (AWS, Azure, GCP) and modern data technologies (e.g., Snowflake, Databricks, Kafka) to manage large-scale data workflows. Collaborate with data engineers, data scientists, and product teams to identify test requirements and ensure comprehensive coverage. Perform regression, integration, system, and performance testing on data and AI workflows. Automate testing processes using appropriate tools and frameworks to enable continuous testing in CI/CD pipelines. Monitor production systems to detect issues proactively and support root cause analysis for defects or anomalies. Document test results, defects, and quality metrics, communicating findings to technical and non-technical stakeholders. Advocate for quality best practices and contribute to improving testing methodologies across the CDO. Stay current with industry trends and emerging tools in data engineering, AI, and QA automation. Qualifications Required: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. Experience in quality assurance or testing roles focused on data engineering, AI, or machine learning systems. Proficiency in programming and scripting languages such as Python, SQL, and experience with test automation frameworks. Strong understanding of data pipelines, ETL/ELT processes, and data validation techniques. Familiarity with machine learning concepts and model evaluation metrics. Experience with cloud platforms (AWS, Azure, GCP) and data platforms (Snowflake, Databricks) is preferred. Knowledge of CI/CD tools and integration of automated testing within deployment pipelines. Excellent analytical, problem-solving, and communication skills. Preferred: Experience with AI/ML model testing frameworks and bias/fairness testing. Familiarity with containerization (Docker) and orchestration (Kubernetes) environments. Understanding of data governance, compliance, and responsible AI principles. Experience with real-time data streaming and testing associated workflows. #DataEngineering Weekly Hours: 40 Time Type: Regular Location: IND:AP:Hyderabad / Argus Bldg 4f & 5f, Sattva, Knowledge City- Adm: Argus Building, Sattva, Knowledge City It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.

Job Description: Essential Job Functions Participate in all phases of web services system testing. Create Test Scenarios and Test Cases, Developing and Maintaining webservice test scripts Should have experience of Smoke Testing, Functional Testing, SIT and Regression Testing Participate in the technical design process with the Webservice Architects and Developers on projects. Develop, implement and maintain quality and test procedures, processes and best practices for QA. Develop and maintain test plan, test cases with associated test data based on functional requirements. Identify test automation opportunities to improve efficiency and effectiveness of test services. Report and document defects found during test cycles. Participate in defect prioritization sessions. Provide test services for support activity and work with release management to assure product quality Communicate timely status, including any potential risks/issues to the appropriate teams Required Skills Experience with testing RESTful data services and APIs Should worked on agile methodology before Good understanding of Java and .NET Web applications Need to be able to send a request/get a response for different protocols/technologies Experience in Ready API testing will be preferred. Knowledge of API testing using API testing tools like Postman or fiddler will be an advantage Knowledge of SOA test automation framework, process, strategy Must be familiar with Test Metrics, Change and Release Management processes. Designing and writing automated test scripts using SOAPUI Pro or similar web services test tools Tools experience, SOAP UI, Postman, TFS, Jira etc., At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

Company Description Growth Loops Technology is a software development company that specializes in web development, mobile app development, and AI services. Our team uses cutting-edge technologies like React, Python and AWS to provide end-to-end solutions for businesses of all sizes and industries. About the Role We're seeking a detail-oriented Software Test Engineer to join our quality assurance team. You'll play a crucial role in ensuring our software products meet the highest standards of quality, performance, and reliability before they reach our customers. Key Responsibilities Test Planning & Execution Design, develop, and execute comprehensive test plans, test cases, and test scripts for web applications, mobile apps, and APIs Perform functional, regression, integration, and user acceptance testing Conduct exploratory testing to identify edge cases and usability issues Quality Assurance Collaborate with development teams to understand requirements and identify potential quality risks Document and track defects using bug tracking systems, working closely with developers to ensure timely resolution Participate in code reviews and provide feedback on testability and quality aspects Automation & Tools Develop and maintain automated test suites using industry-standard testing frameworks Utilize testing tools for performance, load, and security testing Continuously improve testing processes and methodologies Communication & Collaboration Work closely with product managers, developers, and other stakeholders throughout the software development lifecycle Provide clear status updates and quality metrics to project teams Mentor junior team members and share testing best practices Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience 2+ years of experience in software testing and quality assurance Strong understanding of software development lifecycle (SDLC) and testing methodologies Experience with test automation frameworks (Selenium, Cypress, Jest, or similar) Proficiency in at least one programming language (Python, Java, JavaScript, or C#) Familiarity with API testing tools (Postman, REST Assured, or similar) Experience with bug tracking and test management tools (Jira, TestRail, or similar) Knowledge of database testing and SQL queries Understanding of version control systems (Git) Preferred Qualifications Experience with CI/CD pipelines and DevOps practices Knowledge of performance testing tools (JMeter, LoadRunner) Experience with cloud platforms (AWS, Azure, or GCP) Familiarity with mobile testing frameworks ISTQB or other relevant testing certifications Experience with accessibility testing and security testing principles

Designation - Automation Tester Experience - 2-5 Years Who can apply – Candidates with prior experience in test automation tools. Excellent understanding of API & APP testing Good coding skills in languages like Java, Groovy, Python Excellent understanding of Continuous Integration/Continuous Delivery Plan & execute regression test plans/stress test plans. With Strong Data Structures and Algorithms, coding skills in an Object-Oriented programming language (Java preferred), Strong problem solving and analytical skills, Requirements Knowledge of distributed systems or web applications In-depth knowledge of testing life cycle, test processes Knowledge of C++ Excellent organisational and time management skills Accuracy and attention to detail Self-development skills to keep up to date with fast-changing trends