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AWS DevSecOps Engineer – CL4 Role Overview : As a DevSecOps Engineer , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive DevSecOps engineering craftsmanship and advanced proficiency across multiple programming languages, DevSecOps tools, and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused CI/CD and automation solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Key Responsibilities : Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop DevSecOps engineering solutions that solve complex automation problems with valuable outcomes, ensuring high-quality, lean, resilient and secure pipelines with low operating costs, meeting platform/technology KPIs. Technical Leadership and Advocacy: Serve as the technical advocate for DevSecOps modern practices, ensuring integrity, feasibility, and alignment with business and customer goals, NFRs, and applicable automation/integration/security practices—being responsible for designing and maintaining code repos, CI/CD pipelines, integrations (code quality, QE automation, security, etc.) and environments (sandboxes, dev, test, stage, production) through IaC, both for custom and package solutions, including identifying, assessing, and remediating vulnerabilities. Engineering Craftsmanship: Maintain accountability for the integrity and design of DevSecOps pipelines and environments while leading the implementation of deployment techniques like Blue-Green, Canary to minimize down-time and enable A/B testing. Be always hands-on and actively engage with engineers to ensure DevSecOps practices are understood and can be implemented throughout the product development life cycle. Resolve any technical issues from implementation to production operations (e.g., leading triage and troubleshooting production issues). Be self-driven to learn new technologies, experiment with engineers, and inspire the team to learn and drive application of those new technologies. Customer-Centric Engineering: Develop lean, and yet scalable and flexible, DevSecOps automations through rapid, inexpensive experimentation to solve customer needs, enabling version control, security, logging, feedback loops, continuous delivery, etc. Engage with customers and product teams to deliver the right automation, security, and deployment practices. Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, engineering, delivery, infrastructure, and security. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Support a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency: Possess intermediary knowledge in modern software engineering practices and principles, including Agile methodologies, DevSecOps, Continuous Integration/Continuous Deployment. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery, ensuring high-quality outcomes with minimal waste. Demonstrate intermediate level understanding of the product development lifecycle, from conceptualization and design to implementation and scaling, with a focus on continuous improvement and learning. Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs into technical requirements and automations. Learn to navigate various enterprise functions such as product, experience, engineering, compliance, and security to drive product value and feasibility. Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating technical concepts clearly and compellingly. Support teammates and product teams through well-structured arguments and trade-offs supported by evidence, evaluations, and research. Learn to create a coherent narrative that align technical solutions with business objectives. Engagement and Collaborative Co-Creation: Able to engage and collaborate with product engineering teams, including customers as needed. Able to build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Support diverse perspectives and consensus to create feasible solutions. The team : US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes by leveraging a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Key Qualifications : § A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. § Strong software engineering foundation with deep understanding of OOP/OOD, functional programming, data structures and algorithms, software design patterns, code instrumentations, etc. § 5+ years proven experience with Python, Bash, PowerShell, JavaScript, C#, and Golang (preferred). § 5+ years proven experience with CI/CD tools (Azure DevOps and GitHub Enterprise) and Git (version control, branching, merging, handling pull requests) to automate build, test, and deployment processes. § 5+ years of hands-on experience in security tools automation SAST/DAST (SonarQube, Fortify, Mend), monitoring/logging (Prometheus, Grafana, Dynatrace), and other cloud-native tools on AWS, Azure, and GCP. § 5+ years of hands-on experience in using Infrastructure as Code (IaC) technologies like Terraform, Puppet, Azure Resource Manager (ARM), AWS Cloud Formation, and Google Cloud Deployment Manager. § 2+ years of hands-on experience with cloud native services like Data Lakes, CDN, API Gateways, Managed PaaS, Security, etc. on multiple cloud providers like AWS, Azure and GCP is preferred. § Strong understanding of methodologies like, XP, Lean, SAFe to deliver high quality products rapidly. § General understanding of cloud providers security practices, database technologies and maintenance (e.g. RDS, DynamoDB, Redshift, Aurora, Azure SQL, Google Cloud SQL) § General knowledge of networking, firewalls, and load balancers. § Strong preference will be given to candidates with AI/ML and GenAI. § Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. How You will Grow: At Deloitte, our professional development plans focus on helping people at every level of their career to identify and use their strengths to do their best work every day and excel in everything they do. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 302803

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At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world. A Day in the Life As a Data Scientist, where you will develop and deploy machine learning models, conduct advanced analytics, and translate data-driven insights into business value. You will work closely with Finance, Engineering, and Business teams to drive data science initiatives and enhance decision-making. Data Scientist – Global Finance Analytics COE Careers that Change Lives Join our Global Finance Analytics Center of Excellence (COE) as a Data Scientist , where you will develop and deploy machine learning models, conduct advanced analytics, and translate data-driven insights into business value. You will work closely with Finance, Engineering, and Business teams to drive data science initiatives and enhance decision-making. This role requires an average of 2-3 days per week of overlapping work hours with the USA team to ensure seamless collaboration. A Day in the Life As a Data Scientist , you will: Develop and deploy AI/ML models for forecasting, anomaly detection, and optimization in financial and business analytics. Work with structured and unstructured data, ensuring data quality, feature engineering, and model interpretability. Collaborate with Data Engineers to build scalable data pipelines and integrate machine learning solutions into production systems. Perform exploratory data analysis (EDA) and statistical modeling to uncover insights and trends. Optimize algorithms for performance, scalability, and business relevance. Present complex findings in an understandable and actionable manner to senior stakeholders. Continuously explore new AI/ML methodologies and tools to enhance analytical capabilities. Must Have: Minimum Requirements Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. 5+ years of experience in AI/ML, predictive modeling, and statistical analysis. Strong proficiency in Python, SQL, and cloud platforms (Azure, AWS, or GCP). Experience with machine learning frameworks such as TensorFlow, Scikit-Learn, PyTorch, or XGBoost. Exposure to financial data modeling and analytics. Strong problem-solving and critical-thinking skills. Nice to Have Experience working with Snowflake and large-scale data environments. Knowledge of NLP, deep learning, and AI-driven automation. Familiarity with Power BI for advanced data visualization. Physical Job Requirements The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. Benefits & Compensation Medtronic offers a competitive Salary and flexible Benefits Package A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage. About Medtronic We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions. Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 95,000+ passionate people. We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.

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3.0 years

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Objectives of this role Work with data to solve business problems, building and maintaining the infrastructure to answer questions and improve processes Help streamline our data science workflows, adding value to our product offerings and building out the customer lifecycle and retention models Work closely with the data science and business intelligence teams to develop data models and pipelines for research, reporting, and machine learning Be an advocate for best practices and continued learning Responsibilities Work closely with our data science team to help build complex algorithms that provide unique insights into our data Use agile software development processes to make iterative improvements to our back-end systems Model front-end and back-end data sources to help draw a more comprehensive picture of user flows throughout the system and to enable powerful data analysis Build data pipelines that clean, transform, and aggregate data from disparate sources Develop models that can be used to make predictions and answer questions for the overall business Required skills and qualifications Three or more years of experience with Python, SQL, and data visualization/exploration tools Familiarity with the AWS ecosystem, specifically Redshift and RDS Communication skills, especially for explaining technical concepts to nontechnical business leaders Ability to work on a dynamic, research-oriented team that has concurrent projects Preferred skills and qualifications Bachelor’s degree (or equivalent) in computer science, information technology, engineering, or related discipline Experience in building or maintaining ETL processes Professional certification Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹1,200,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Morning shift Experience: data engineer: 3 years (Preferred) Python: 3 years (Preferred) Work Location: In person

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Job Description Summary You will be part of the core team at GE Vernova Electrification Software (GEV ESW) Business that is using software to enable de-carbonized future of energy for the planet by designing, building, delivering, and maintaining software applications & services for next generation Grid Software that is used by 40% of the world’s power utilities today. GEV ESW has recently launched a new software called GridOS which a software portfolio that helps utilities manage and orchestrate the sustainable energy grid. As a Sr Manager of a software engineering for Market Management Systems (MMS), you will apply your knowledge of management, software development methodologies, best practices, and proven processes to hire, onboard, engage, retain and lead teams to deliver a high-quality software products on budget and on time. You will work with global leadership team to drive next generation AI/optimization technologies, and latest tech stacks to support the customers for our MMS which is integrated solution suite for managing transmission-level grid reliability and hosting bulk-power energy markets Job Description In this role, you will: Build a world class software development team to consistently deliver complex software platforms and next gen technologies by hiring, onboarding, and engaging the Grid Engineering leaders and engineers. You will contribute to delivery of next generation grid software by shaping activities to drive delivery on existing products and build roadmaps to enable convergence to GridOS Advanced Market Management Systems. Drive excellence in software delivery in specific areas including development, quality, DevSecOps with focus on delivering end to end solutions, automation, and zero-defect mindset. Work with multiple global Directors/Sr Director and Executive Leaders to shape vision, develop strategies, and execute in presence of ambiguity. Support development of strategy for organization including resource planning, innovation and execution strategy and help execute the strategy. Build both your personal and team’s domain knowledge and expertise in power systems to enable system level thinking and end-to-end delivery. Drive customer and market focus in the organization to enable next generation innovation for our products. Be externally focused and represent GE Vernova with Universities and Govt, present at conference and drive sales enablement with customers. Communicate effectively with employees, leaders, customers, and external community to deliver the right messages and information at the right time. Engage with customers to quickly learn, internalize, and develop key priorities for their teams and provide day to day work direction for people leaders and teams engaged in projects and delivery. Demonstrate mastery of intricacies and interactions within dynamic agile cultures and processes. Drive a continuous learning culture to help guide continuous improvements. Develop next generation of people leaders with strong domain and software knowledge. Develop, strengthen training and learning plan to grow technical depth in organization. Utilize project management tools to track progress and recognize key risk areas for specific implementations. Assist in the resolution of conflicting priorities through the proactive communication of requirements, timelines, and stakeholders. Operate as an engaged leader who serves as a subject matter and technical expert for assigned programs and development initiatives. Work with system leaders and functional teams to ensure products and services adhere to compliance and controllership standards. Desired Characteristics Technical Expertise: Recognizes patterns and complexity in problems. Extracts decomposition algorithms and strategically plans how to execute programs by understanding how best to decompose to expose / protect against risk Thorough knowledge of Software Development Life Cycle principles Through working knowledge of CI/CD concepts and best practices Understanding of full stack platform concepts and technologies Good understanding of Platform Integration strategies by developing applications and framework. Defines product vision. Lays out product roadmap. Maps current requirements to industry trends, analyses competition trends Demonstrates mastery of the intricacies of interactions and dynamics in Agile teams. • Guides new teams to adopt Agile, troubleshoots adoption efforts, and guide continuous improvement. • Provides training on Lean / Agile. Drives elimination of inefficiencies in coding process. Actively embraces new methods and practices that increase efficiency and effectiveness Thorough understanding of Cloud Technologies and complex Platform Integrated Systems. Capable of designing technical implementation plans around integrating Platform systems. Job Requirements: Bachelor's Degree Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) + with minimum 15 years of experience. 7 years of experience as people leader Experience in driving agile development practices of large teams. Proven track record of having delivered large scale enterprise software projects. Must be willing to travel. Desired Qualifications: Experience in Market Management systems for energy markets is strong plus Experience in working in power systems and power system applications is a strong plus Working on data systems across multiple operating systems/cloud environments is considered strong plus Advanced degrees such as MS especially in energy markets, power systems or optimization technologies is a strong plus Business Acumen: Prioritizes projects based on an assessment of competitive needs. Anticipates areas of competitive vulnerability and offers plans to mitigate them Evangelizes new technology, predicts trends, and identifies new opportunities based on trends. Acts as industry expert by participating in defining standards and open-source initiatives Creates a culture of customer focus and high performance to drive innovation. Creates and presents value for the GEV investor while balancing that with the sometimes-competing value for the external customer. Continuous engagement with focus on GEV strategy for customer satisfaction Leadership: Establishes framework for a culture of successful collaboration by defining a common understanding of who has decision rights and accountability, and how collaboration and transparency are rewarded Establishes vision, Identifies and champions internal/external best practices, tools, and ideas to improve execution and quality. Drives an organization of efficiency, accountability, and ownership Able to verbalize what is behind decisions and downstream implications. Continuously reflecting on success and failures to improve performance and decision-making. Understands when change is needed. Participates in technical strategy planning Personal Attributes: Uses critical thinking skills and disciplined approaches to help leaders and leadership teams resolve issues and define solutions. Evangelizes and contributes to the GEV standards for critical thinking best practices and methodologies across the enterprise. Defines new critical thinking methods. Engages with external thought-leaders and communities on analytical and critical thinking methodologies Excellent communication skills and the ability to interface with senior leadership with confidence and clarity Evangelizes the notion that anything worth doing takes repeated effort and failure. Drives the organization toward a continued excitement of attaining the vision and goal in the face of resistance Innovates and integrates new processes and/or technology to significantly add value to GEV. Identifies how the cost of change weighs against the benefits and advises accordingly. Proactively learns new solutions and processes to address seemingly unanswerable problems Take on technical challenges and direct the team to achieve a high level of understanding of the platform and industrial use cases. Additional Information Relocation Assistance Provided: Yes

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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 and community banking technology 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, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies ABOUT US

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2.0 years

5 - 8 Lacs

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About Reputation Reputation has changed the way companies improve their customer experience through feedback. Based in Silicon Valley and founded in 2013, Reputation is the only platform that empowers companies to fulfill their brand promise by measuring, managing, and scaling their reputation performance in real-time, everywhere. Functioning as a business’ eyes and ears in the spaces where customers talk, post, review, and recommend, Reputation AI-powered product stack analyzes vast amounts of public and private feedback data to uncover predictive insights for companies to act on, and improve their online reputations. Visit reputation.com to learn more. Reputation continues to earn recognition as a trusted leader in both innovation and partnership. Most recently, the company was named an Inc. Power Partner, a distinction awarded to B2B organizations with a proven track record of helping clients thrive. Reputation was also officially Certified™ as a Great Place to Work, reflecting its commitment to cultivating a world-class culture that fuels long-term success for employees and customers alike. Why Work at Reputation? Reputation has achieved substantial annual recurring revenue from Global Fortune 1000 companies and continues to grow worldwide. We've secured significant funding from A-list venture capital firms such as Bessemer Venture Partner and Kleiner Perkins, including a major equity financing from Marlin Equity Partners in January 2022. Reputation is trusted by more than 250 partners, including Google, Meta, Yelp, Apple Business Connect, Healthgrades and Entrata. The platform is used by major automotive OEMs and thousands of their new vehicle dealerships. Additionally hundreds of healthcare systems and their locations, along with top property management firms have integrated Reputation within their organizations. Our executive management team is committed to building a performance-based culture where excellence is rewarded and careers are developed. Who thrives at Reputation? Managers who embody a player-coach mentality. Employees who value teamwork and cross-functional collaboration. People who emphasize perseverance and hustle over quick wins and luck. Our Mission: Help businesses always know what their customers are saying about them and always act on that feedback. Reputation is seeking a Full Stack Software Engineer to help push our enterprise social media SaaS application forward. This position will work on a wide variety of projects relating to the social suite of products offered to our clients. We are looking for engineers who can build simple, fast, and elegant software. The Reputation Engineering team is small, flat, and close knit. We want to hear from you if you are ready to build your technical skill set in a fast-paced, CI/CD environment. Responsibilities: Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.). Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation, and delivery of high-quality products to our users. Work in a fast-paced CI/CD Kanban environment and participate actively in feature development and bug resolution Capability to manage multiple projects with material-technical risk across teams and processes; may serve as a functional lead or technical owner. Work on several Reputation products to extend functionality and to maintain zero customer-reported bugs. Be a mentor for colleagues and help promote knowledge-sharing Additional duties as assigned. Qualifications: 2-5 years of experience in designing & implementing highly interactive UI for high-volume, robust web applications. Must be a graduate in BTECH/BE/MS/MTECH - IT/CS/Machine Leaning/Data Science/Artificial Intelligence Solid programming skills in JavaScript and Java/J2EE, with experience building reusable components using JavaScript libraries such as React and Node.js. Experience with Spring Boot for building scalable and efficient backend services. Proven ability to design, develop, and maintain microservices-based applications. Experience using GoLang to build and optimize data pipelines. Advanced knowledge of data structures, algorithms, object-oriented design, design patterns, and performance/scale considerations. Hands-on experience with NoSQL databases, such as MongoDB, Elasticsearch, and BigQuery, including development, troubleshooting, and performance optimization. Observability experience or willingness to learn. Experience working in a cloud environment and developing scalable, distributed systems. Strong sense of empathy for end-users, with a drive to enhance their experience. Comfortable working with data-intensive applications and performance-critical systems. We understand that not everyone will have experience with every technology, but familiarity with any of the following will help you stand out: GraphQL RabbitMQ Redis Elasticsearch Social Media APIs (Facebook, Instagram, LinkedIn, Twitter, YouTube, TikTok, etc) When you join Reputation, you can expect: Flexible working arrangements. Career growth with paid training tuition opportunities. Active Employee Resource Groups (ERGs) to engage with. An equitable work environment. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. At Reputation, we’re committed to building a workforce that reflects a broad range of backgrounds, experiences, and perspectives. We believe that diversity strengthens our team, drives innovation, and helps us better serve our customers and communities. Through inclusive hiring practices and ongoing initiatives, we strive to create a workplace where everyone feels valued and empowered to contribute. Additionally, we offer a variety of benefits and perks, such as: Health Insurance & Wellness Benefits: Group Health Insurance: Medical Insurance with floater policy of up to 10,00,000 for employee + spouse + 2 dependent children + 2 parents / parent-in-laws Maternity Benefits: Medical insurance up to 75,000 INR, 26 weeks of leave for birth, adoption or surrogacy Life Insurance: Insurance at 3x annual cost to the company (Term Insurance, GPA) Accident/Disability Insurance: Insured at 3x base salary for permanent total disability, permanent partial disability and temporary total disability (GPA) OPD: of 7500 per annum per employee Leaves 10 Company observed holidays a year (Refer to the Holiday Calendar for the Year) 12 Casual/Sick leaves (Pro-rata calculated) 2 Earned Leaves per Month (Pro-rata calculated) 4 Employee Recharge days (aka company holiday/office closed) Maternity & Paternity (6 months) Bereavement Leave (10 Days) Car Lease: Reputation is offering a Car Lease Program that allows employees to lease a car with no upfront cost or down payment. They benefit from a fixed monthly lease rental and 20-30% tax savings. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. To learn more about how we handle the personal data of applicants, visit our Candidate Privacy Notice . Applicants only - No 3rd party agency candidates.

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3.0 years

5 - 6 Lacs

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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 and community banking technology 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, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies

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SUMMARY The Manager, Operations and Reporting will work closely with RealPage business leaders to develop, implement and sustain measurement, forecasting, analytical and reporting systems providing invaluable insights to drive industry leading performance for RealPage Delivery team. This individual will apply their extensive knowledge of measurement systems, forecasting tools and data analysis to help solve real-world problems and identify areas of opportunities for improvement across multiple projects, teams and business units across RealPage. PRIMARY RESPONSIBILITIES Manage Delivery with Strategic Insights & Recommendations: Own & manage the delivery of the team with detailed understanding and clarity on the Insights provided Collaborate with cross-functional teams & stakeholders to understand their needs and deliver tailored insights. Implement and manage scalable data model & architecture to extract valuable information from large datasets across various data sources, types & platforms (including on-premises or cloud) Manage Team with Leadership and Review: Lead and manage a team of developers/analysts, providing guidance & mentorship with regular & timely performance reviews. Foster a collaborative environment that encourages innovation and continuous improvement. Conduct regular team meetings to review progress, address challenges, and align on goals. Ensure team members are equipped with the necessary tools and training to perform their roles effectively. Project Management: Oversee multiple reporting projects simultaneously, ensuring timely delivery and adherence to quality standards. Develop detailed project plans, including timelines, resource allocation, and risk management strategies. Coordinate with internal teams to ensure smooth execution of projects. Individual Contribution and Quality Assurance: Develop, Own and Maintain certain Insights/Dashboards that require leadership maturity Ensure compliance with relevant data protection regulations and company policies. Implement quality control measures to maintain high standards of data accuracy and reliability. Regularly review and update reporting processes to improve efficiency and effectiveness. Communication and Collaboration: Communicate complex data insights in a clear and concise manner to non-technical stakeholders. Foster a culture of data-driven decision-making within the organization. Collaborate with IT and data teams to enhance data collection and reporting capabilities. Continuous Improvement: Stay updated with the latest trends and technologies in data analytics and Business Intelligence. Identify and implement best practices to improve reporting and analytical processes. Provide training and support to team members on data analysis tools and techniques. Required Knowledge/Skills/experience Education and Experience: Degree in Mathematics, Technical, Analytics, or related fields. Five (5) years of hands-on experience in Data Analytics with skills detailed below Three (3) years in a managerial role in Business Intelligence or Analytics with a minimum team size of 5 Developer/Analysts. Technical Skills & Experience: Strong SQL skills (5 Years) with the ability to perform effective & advanced querying involving multiple tables and subqueries with large volume Experience (5 Years) with modern data visualization and Business Intelligence tools, such as Power BI and SSRS, using variety & large data sources including on-premises or cloud. Hands-on knowledge (2 years) on modern Data Analytics, Mining and Machine Learning tools & algorithms, using Programming Languages like Python/R Proficiency in Microsoft Office tools, specifically Word, Excel, PowerPoint, and Outlook. Analytical Skills: Excellent problem-solving, quantitative, and analytical abilities. Understanding of and experience with analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units. Experience in creating data-models and dashboards using relevant data to help make decisions. Soft Skills: Ability to plan and manage multiple processes and projects simultaneously. Excellent written and verbal communication skills, especially in a global environment Demonstrated ability to work independently; self-motivated and goal-oriented. Strong organizational skills; able to handle multiple tasks simultaneously; detail-oriented. Flexible schedule; overtime may be required to meet business deadlines. PREFERABLE KNOWLEDGE/SKILLS/EXPERIENCE Working experience with modern Cloud platform technologies (e.g., Microsoft Office 365), especially in process automation and simplification. Hands-on understanding of modern generative AI/technologies, especially in data & analytics Experience working with US customer/stakeholders as leader & contributor Education Preferred Bachelors or better in Computer Science or related field Bachelors or better in Mathematics or related field Licenses & Certifications Preferred Machine Learning Microsoft Power BI Google Analytics Skills Required Data Analysis DEV - Reporting & Insights MS Office SQL Preferred Tech Stack - Business Analysis Tech Stack - SQL Server Tech Stack - Python Backend Cross Collaboration Critical Thinking Behaviors Preferred Innovative: Consistently introduces new ideas and demonstrates original thinking Thought Provoking: Capable of making others think deeply on a subject Team Player: Works well as a member of a group Detail Oriented: Capable of carrying out a given task with all details necessary to get the task done well Motivations Preferred Ability to Make an Impact: Inspired to perform well by the ability to contribute to the success of a project or the organization

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Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Job Description Join the exciting Generative AI team at Qualcomm focused on integrating cutting edge GenAI models on Qualcomm chipsets. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of GenAI models on-device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. Utilize this power efficient hardware and Software stack to run Large Language Models (LLMs) and Large Vision Models (LVM) at near GPU speeds! Responsibilities: In this role, you will spearhead the development and commercialization of the Qualcomm AI Runtime (QAIRT) SDK on Qualcomm SoCs. As an AI inferencing expert, you'll push the limits of performance from large models. Your mastery in deploying large C/C++ software stacks using best practices will be essential. You'll stay on the cutting edge of GenAI advancements, understanding LLMs/Transformers and the nuances of edge-based GenAI deployment. Most importantly, your passion for the role of edge in AI's evolution will be your driving force. Requirements: Master’s/Bachelor’s degree in computer science or equivalent. 2-4 years of relevant work experience in software development. Strong understanding of Generative AI models – LLM, LVM, LMMs and building blocks (self-attention, cross attention, kv caching etc.) Floating-point, Fixed-point representations and Quantization concepts. Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU). Strong in C/C++ programming, Design Patterns and OS concepts. Good scripting skills in Python. Excellent analytical and debugging skills. Good communication skills (verbal, presentation, written). Ability to collaborate across a globally diverse team and multiple interests. Preferred Qualifications Strong understanding of SIMD processor architecture and system design. Proficiency in object-oriented software development and familiarity Familiarity with Linux and Windows environment Strong background in kernel development for SIMD architectures. Familiarity with frameworks like llama.cpp, MLX, and MLC is a plus. Good knowledge of PyTorch, TFLite, and ONNX Runtime is preferred. Experience with parallel computing systems and languages like OpenCL and CUDA is a plus. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

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Pune, Maharashtra, India

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Job Description Primary Responsibilities Support in establishing frameworks to standardize, productize and scale existing and new capabilities / analytical solutions Implement the vision, roadmap, and best practices for the Data Science Center of Excellence (CoE) to align with business goals Support establishing governance frameworks to measure the value of products, standardize data science methodologies, coding practices, and project workflows Work with senior CoE members in development and maintenance of best practices for model and algorithm development and design, deployment, and monitoring across the enterprise functions Collaborate with product team on product development incorporating Agile framework and latest industry best practices and norms Support in development of MLOps and ModelOps frameworks to streamline the development-to-deployment product pipeline Drive innovation by identifying, evaluating, and implementing cutting-edge data science methodologies based on latest published literature Qualifications Education & Work Experience Requiremen ts Master’s degree (relevant field like Economics, Statistics, Mathematics, Operational Research) with 2+ years work experience. Bachelor’s degree (in Engineering or related field, such as Computer Science, Data Science, Statistics, Business, etc.) with at least 3+ years relevant experience Prior experience in research publications in reputed journal is a plus Skillset Candidates must have - Strong programming skills in languages such as Python or R, and SQL with experience in data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn, stats models) Experience with data science principles, machine learning (supervised and unsupervised) and GenAI algorithms, test-control analysis, propensity score matching etc. Exposure to product roadmaps, Agile methodologies and backlog management, ensuring iterative and incremental product improvements Strong problem solving, business analysis and quantitative skills Ability to effectively communicate proposals to key stakeholders Candidates are desired but not mandatory to have - Experience and familiarity with underlying concepts such as Patient analytics, MMx etc. Understanding of Pharma commercial landscape will be a plus Experience working with healthcare, financial, or enterprise SaaS products Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Not Applicable Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 06/19/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R341751 Show more Show less

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25.0 years

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Bengaluru, Karnataka, India

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The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: What you need to know about the role- We’re looking for an experienced Java developer to help build and evolve our internal tools, including dashboard applications and auto-triage solutions. This role involves integrating with BigQuery, Cosmos AI, and other components of PayPal’s tech stack. The ideal candidate is a pioneer—ready to enhance existing applications while exploring exciting AI-driven initiatives. Meet our team The RaaS AES Team is part of PayPal’s Engineering Platforms & Risk as a Service (RaaS) pillar. We are a dynamic group of engineers committed to operational excellence, innovation, and delivering high-quality solutions that empower PayPal’s risk products globally. Our team focuses on building tools and platforms that streamline workflows, enhance observability, and drive automation across critical operational processes. We work closely with cross-functional teams, including product managers, data scientists, and DevOps engineers, to ensure seamless collaboration and impactful results. Job Description: Your way to impact Build and maintain backend services that drive operational excellence within PayPal’s Risk as a Service pillar. Contribute to the scalability, reliability, and performance of tools used across PayPal’s engineering teams. Explore and implement AI-driven solutions to streamline workflows and improve decision-making. Your day to day Design, develop, test, and deploy backend services using Java. Collaborate with cross-functional teams to deliver high-quality solutions. Integrate with BigQuery, Cosmos AI, and other PayPal technologies. Debug and resolve production issues to ensure system reliability. Participate in code reviews and provide constructive feedback to peers. What do you need to bring - 2 + years of Strong programming skills and expertise in Java, Nodejs and Python. Strong understanding of algorithms, data structures, and system design. Experience with REST API’s, Web Services, Unit Testing and build tools. Experience in refactoring existing code base and in understanding existing implementations to decide to refactor or rewrite. Good understanding and hands on experience with databases such as MySQL / Oracle / BigQuery etc. Good understanding and hands on experience with BI Tools such as Tableu / Looker / Power BI etc. Familiarity with microservices architecture, and cloud platforms. Familiarity with machine learning, data engineering, LLMs, RAG applications, or MCP servers is a plus but not required. Take risks and thrive in an environment of constant change. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, 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, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply. REQ ID R0126569 Show more Show less

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6 - 8 Lacs

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Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Consultant - AI ML Developer In this role, we are seeking a skilled AI/ML Developer with Python expertise to design, develop, and deploy machine learning models using frameworks like TensorFlow, PyTorch, or scikit-learn. You will work on the entire ML lifecycle, from data preprocessing to deployment, optimizing algorithms for performance. Responsibilities Design and implement algorithms that enable the General AI system to acquire new knowledge efficiently and adapt to evolving tasks seamlessly. Develop mechanisms for the General AI to perform various tasks, such as natural language understanding, image recognition, and decision-making, ensuring a holistic and versatile skill set. Implement continual learning strategies that allow the General AI to adapt and improve its performance over time, learning from both labelled and unlabelled data. Collaborate with specialists from different domains to integrate domain-specific knowledge and ensure the General AI's applicability in diverse real-world scenarios. Incorporate ethical considerations into the design and development of the General AI, addressing issues related to bias, fairness, and transparency in AI decision-making processes. Optimize the General AI system for scalability, ensuring efficient performance across different hardware and deployment environments. Engage in interdisciplinary research, staying updated on advancements in AI, cognitive science, and related fields, and applying relevant findings to enhance the capabilities of General AI. Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress. Verifying data quality, and/or ensuring it via data cleaning Defining validation strategies & data augmentation pipelines Designing, developing, and researching Machine Learning systems, models, and schemes Good working knowledge on deep learning and advanced NLP techniques Analyzing the use cases of ML algorithms and ranking them by their success probability Should be excellent with Rasa Framework or any other chatbot interface. Performing statistical analysis and using results to improve models. Training and retraining ML systems and models in real-world situations Visualizing data for deeper insights Hands-On with Service / Incident Management tools: JIRA / ServiceNow Knowledge and experience with Software Version Control systems: GIT etc. Qualifications we seek in you! Minimum Qualifications / Skills B.Tech/B.E/ MCA Excellent written and verbal communication skills Preferred Qualifications/ Skills Create comprehensive documentation of algorithms, models, and methodologies, and actively contribute to knowledge transfer within the team to foster a collaborative and learning-oriented environment. Demonstrated expertise in artificial intelligence, machine learning, and deep learning. Strong programming skills, preferably in Python, and experience with popular AI frameworks (e.g., TensorFlow, PyTorch) Experience with reinforcement learning and transfer learning in the context of General AI. Knowledge of cognitive science principles and their application to AI development Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Get to know us at www.genpact.com and on X, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Consultant Primary Location India-Hyderabad Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jun 16, 2025, 6:14:50 AM Unposting Date Ongoing Master Skills List Consulting Job Category Full Time

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We are seeking a talented and detail-oriented Data Analyst to join our Reporting Team. In this role, you will specialize in curating insightful and visually compelling reports using tools such as Power BI, Tableau, Python, Excel, and PowerPoint. A key component of this position is integrating AI solutions into our reporting processes to enhance data-driven decision-making for our stakeholders. Collaboration with stakeholders is essential to ensure our reporting solutions effectively meet their needs. If you are passionate about data visualization and leveraging AI technologies, we would love to hear from you! About the Role In this opportunity as a Data Analyst, you will: Develop, design, and maintain interactive and dynamic reports and dashboards using Power BI, Tableau, Excel, and PowerPoint. Collaborate closely with stakeholders to understand their reporting needs, deliver actionable insights, and ensure satisfaction. Utilize AI and machine learning techniques to enhance reporting solutions and provide predictive insights. Analyze complex datasets to identify trends, patterns, and anomalies that can inform business decisions. Ensure data integrity and accuracy in all reporting solutions. Provide training and support to team members and stakeholders on the use of reporting tools and AI technologies. Continuously seek opportunities to improve reporting processes and tools, staying updated with the latest industry trends and technologies. Communicate findings and recommendations to stakeholders through clear and concise presentations and reports. About you: You’re a fit for the role of Data Analyst if you: Bachelor’s degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field. 3-6 years of experience as a Data Analyst or in a similar role, with a strong portfolio of reporting and dashboard projects. Proficiency in Power BI, Tableau, Python, Excel, and PowerPoint. Experience with AI technologies and machine learning algorithms is needed. Strong data analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Excellent communication and presentation skills. Ability to work collaboratively in a team environment as well as independently. Experience with programming languages such as Python or R. Familiarity with SQL for data extraction and manipulation. Knowledge of data warehousing, ETL processes, LLMs.. #LI-SS6 What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

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4.0 years

1 - 5 Lacs

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Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description What you get to do in this role: Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.) Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users. Implement software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs Contribute to the design and implementation of new products and features while also enhancing the existing product suite Be a mentor for colleagues and help promote knowledge-sharing Qualifications To be successful in this role you have: Proven experience in building and maintaining data pipelines and system integrations. Ability to design scalable, maintainable systems with a focus on performance and reliability. Experience with data structures, algorithms, object-oriented design, design patterns, and performance/scale considerations Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. Passion for JavaScript and the Web as a platform, reusability, and componentization 4+ years of experience with Java or a similar OO language Good to have experience with any of the modern UI frameworks like Angular, React or Vue FD21 Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

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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 and 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, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Experience on ETL Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, AWS and Terraform Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with Python skills Good understanding of Data Lake concepts Familiarity with modern front-end technologies Exposure to cloud technologies ABOUT US

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4.0 years

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Hauz Khas, Delhi, India

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Designation: SEO Specialist Brand: MOLEDRO Location: Hauz Khas, Delhi Email: khushi.jain@mymoledro.com Employment: Full Time CTC: 6 LPA We are looking for a detail-oriented and results-driven SEO Specialist to lead and execute our organic search strategy. This role blends technical website optimization with strategic content and SEO planning to enhance our brand’s online presence, improve search engine rankings, and drive meaningful traffic. You will play a key role in supporting digital growth, improving user experience, and increasing overall site performance. Key Responsibilities: Develop, implement, and manage comprehensive SEO strategies (technical, on-page, and off-page) to increase organic visibility and traffic. Perform detailed website audits to identify and resolve technical SEO issues, including crawl errors, site speed, indexation, structured data, and mobile usability. Collaborate with content teams to guide keyword research, optimize content, and align editorial efforts with SEO best practices. Monitor and analyze SEO performance using tools such as Google Analytics, Google Search Console or similar platforms. Conduct competitive analysis and stay updated with the latest SEO trends, algorithm updates, and industry best practices. Collaborate with developers to ensure SEO best practices are properly implemented across the website’s code and architecture. Manage and optimize local SEO (if applicable), schema markup, and internal linking structures. Provide regular performance reports and insights to stakeholders with actionable recommendations. Qualifications: Proven experience (4+ years) in SEO, with a track record of successful SEO strategy implementation. Strong understanding of search engine algorithms, ranking factors, and SEO tools. Technical knowledge of HTML, CSS, JavaScript, and CMS platforms (e.g., WordPress, Shopify, etc.). Experience with website analytics, SEO reporting, and data-driven decision-making. Ability to perform comprehensive keyword research and competitive analysis. Knowledge of fashion Retail is a plus Industry: Retail Apparel and Fashion Employment Type: Full-time Show more Show less

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2.0 years

1 - 9 Lacs

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We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer II at JPMorgan Chase within the Consumer and Community banking, 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, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 2+ years of applied experience Expertize and good hands on experience with Kubernetes, Terraform and AWS. Full SDLC lifecycle for software deployment - Release management and SDLC including experienced in Jenkins as well as Spinnaker pipeline deployments Proficient with DevOps practices and CI/CD pipelines Advanced in one or more programming language(s) - Python, Java, Groovy Full SDLC lifecycle for software deployment - Release management and SDLC including experienced in Jenkins as well as Spinnaker pipeline deployments Third Party Vendor Data Management and Lifecycle, and Engagement for Trouble Tickets using DevOps Process Must adhere to weekly support Rotation schedules including weekends (standard DevOps Cadence) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies

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Job Description Summary GE Vernova is a leader in the global energy transition from a carbon-based power grid to a renewables-based one. Our market is growing quickly and is primed for disruption through new technologies and business models. The electric power grid is the most sophisticated machine that humankind ever designed, and it is currently going through a massive transformation. Monitoring, automation, control, advanced algorithms, and modern software technologies are used to keep the lights on for consumers, big and small, around the globe. As a part of the GE Vernova, Grid Automation R&D team, you will help develop the sophisticated control and automation systems that drive modernization of the power grid to enable the energy transition. You'll have an opportunity to work with state-of-the-art technologies such as multi-core SoC processors, Yocto Linux, cloud native software, 5G, model-to-code tools and AI/ML to develop and refine your professional skills. You will collaborate in a modern lean-agile product development environment and interact with a global R&D team to develop world class products that can literally change the world. Be part of the Energy Transition! Highly motivated engineer to work as an Intern in the area of Energy Transition and contribute to solving the challenges the electric power grid will be subjected to in the areas of Protection, Control, Substation Automation and Monitoring. Strong individual ownership on the assigned tasks and appetite for innovation/advance development is expected out of this role Job Description E ssential Responsibilities: Interns will use their skills of programming, innovation and engineering and are encouraged to implement new ideas, develop tools and applications or improvise existing methods, tools , processes and features in the projects. The role requires the interns to get in contact with stakeholders, customers and colleagues in their day-to-day job which would require interpersonal, soft and presentation skills. Responsible to complete Assignments & Projects over the course of their project duration. It is an intern led, intern run project which can be seen as a self-contained project aimed at improving and refining aspects of their skill set. Qualifications: B.Tech, M.Tech/M.E Final year student from Computer Science /Power Systems /Instrumentation / Electronics/Communications and other related streams from reputed institutes (IIT/NIT/BITS/Other reputed institutes) Demonstrated academic excellence - consistent and strong academic credentials Passion for engineering with Strong technical aptitude and an analytic approach to problem Solving Strong programming skills in C, C++, Java, Python, any scripting languages on Windows & Linux Experience of Statistical techniques, artificial intelligence (AI) and machine learning (ML), including, unsupervised learning, supervised learning, and reinforcement learning, Deep learning, large language models (LLMs). Understanding of AI/ML frameworks/workflows. Understanding MLOps principles. Knowledge of databases – relational & non-relational Good mathematical, analytical and logical abilities and their application to effective problem solving Generation of multiple alternative solutions towards problem solving, evaluating the pros and cons and justifying the best solution to be adapted Strong root causing, trouble shooting and debugging skills In depth understanding of desktop, web and cloud based application development and deployment, Awareness of Microservices architecture and tools Hands on experience with hypervisors, Virtual Machines, Containers, Dockers and related tools Experience with secure application development and cybersecurity tools and life cycle Hands on with equipment and tools such as secondary injection relay test kits, protocol analyzers and simulators, MATLAB, LabVIEW … etc Quick Learner and can develop a micro and macro understanding of the scope of work through self learning and seeking out the right resources – virtual & people Clear & Concise verbal and written communication skills Ability & rigor to clearly document and explain design, architecture, logic Understanding of Power System concepts is an added advantage A team player who can interact with all required stakeholders with ease. Desired: Prior experience (via internships, projects, trainings, certifications .. etc) in relevant areas of power systems & programming Understanding of developing and implementing ML models, such as predictive maintenance, load forecasting, etc. in the power system domain. Understanding of ML frameworks such as Tensorflow, PyTorch, Keras etc. Understanding of Linux virtualized system deployment using VM, Hypervisor (EsXi, KVM, Xen etc.), Dockers and related tools. Volunteering experience on broader community activities / projects. Understanding of industrial automation tools such as PLC programming understanding of TCP/IP communication stack and related communication protocols Understanding of Industrial & Substation automation protocols such as Modbus, DNP3, IEC 60870, IEC 61850 .. etc Additional Information Relocation Assistance Provided: No

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0 years

3 - 9 Lacs

Hyderābād

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- Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse Customer addresses, Geospatial information and Road-network play a crucial role in Amazon Logistics' Delivery Planning systems. We own exciting science problems in the areas of Address Normalization, Geocode learning, Maps learning, Time estimations including route-time, delivery-time, transit-time predictions which are key inputs in delivery planning. As part of the Geospatial science team within Last Mile, you will partner closely with other scientists and engineers in a collegial environment to develop enterprise ML solutions with a clear path to business impact. The setting also gives you an opportunity to think about a complex large-scale problem for multiple years and building increasingly sophisticated solutions year over year. In the process there will be opportunity to innovate, explore SOTA and publish the research in internal and external ML conferences. Successful candidates will have deep knowledge of competing machine learning methods for large scale predictive modelling, natural language processing, semi-supervised & graph based learning. We also look for the experience to graduate prototype models to production and the communication skills to explain complex technical approaches to the stakeholders of varied technical expertise. Key job responsibilities As an Applied Scientist I, your responsibility will be to deliver on a well defined but complex business problem, explore SOTA technologies including GenAI and customize the large models as suitable for the application. Your job will be to work on a end-to-end business problem from design to experimentation and implementation. There is also an opportunity to work on open ended ML directions within the space and publish the work in prestigious ML conferences. About the team LMAI team owns WW charter for address and location learning solutions which are crucial for efficient Last Mile delivery planning, who also owns problems in the space of maps learning and travel time estimations. Experience implementing algorithms using both toolkits and self-developed code Have publications at top-tier peer-reviewed conferences or journals 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.

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2.0 - 4.0 years

0 Lacs

Chennai, Tamil Nadu, India

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We're looking for a skilled Technical SEO Specialist to optimize and enhance the technical performance of our websites. You will ensure that our digital properties adhere to SEO best practices, improving site visibility, crawlability, indexing, and overall performance in search engines. Responsibilities: Perform comprehensive technical SEO audits to identify issues affecting site performance and visibility. Optimize site structure, URL architecture, sitemaps, robots.txt, and internal linking. Monitor and resolve crawl errors, indexing issues, and website speed concerns. Enhance site performance metrics, including Core Web Vitals. Implement structured data markup (Schema.org). Collaborate with development and content teams to ensure SEO best practices are followed. Provide regular performance reporting using SEO analytics tools (Google Search Console, Ahrefs, SEMrush). Stay up-to-date with evolving SEO trends and algorithms. Required Skills & Qualifications: Proven experience (2-4 years) as a Technical SEO Specialist or similar role. Proficiency with Google Search Console, SEMrush, Ahrefs, Screaming Frog, and similar SEO tools. Solid understanding of HTML, CSS, JavaScript, and website architecture. Experience with WordPress or similar CMS platforms. Strong knowledge of page speed optimization and Core Web Vitals. Excellent analytical and problem-solving skills.  Preferred Qualifications: Familiarity with JavaScript SEO. Experience optimizing large websites or e-commerce platforms. Basic understanding of PHP for troubleshooting. SEO certifications (Google, HubSpot, SEMrush, etc.). Show more Show less

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2.0 years

0 Lacs

Indore, Madhya Pradesh, India

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Location: Indore Experience: 1–2 years Salary: 15000-25000 Employment Type: Full-time Key Responsibilities: Develop and execute a comprehensive social media strategy aligned with brand goals and marketing objectives. Manage daily content creation, curation, scheduling, and publishing across platforms (Instagram, Facebook, LinkedIn, Twitter, YouTube, etc.). Design and oversee social media campaigns to drive traffic, engagement, leads, and conversions. Monitor, analyze, and report performance metrics (engagement, reach, conversions) using tools like Meta Business Suite, Google Analytics, and other SMM tools. Collaborate with content creators, graphic designers, and marketing teams to create high-quality, engaging content. Stay up-to-date with the latest trends, algorithms, tools, and best practices across platforms. Engage with followers and respond to comments, DMs, and queries in a timely manner. Coordinate with influencers, partners, and agencies for campaign execution. Handle social media crises, negative comments, or brand reputation issues professionally. Support paid advertising campaigns (Meta Ads, LinkedIn Ads, etc.) with creatives and performance insights. Required Skills & Qualifications: Bachelor's degree in Marketing, Communications, Journalism, or related field. 1–2 years of proven experience in managing corporate or brand social media accounts. Strong understanding of social media platforms, tools, and analytics. Excellent written and verbal communication skills. Creativity in content ideation, reels, and trend-based campaigns. Experience with tools like Canva, Buffer, Hootsuite, or similar. Knowledge of paid ad strategies is a plus. Ability to work independently and meet tight deadlines. Preferred Qualifications : Basic graphic design or video editing skills Experience with influencer collaborations Understanding of SEO and content marketing Familiarity with brand tone and storytelling Show more Show less

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3.0 - 5.0 years

3 - 8 Lacs

Gurgaon

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Realize your potential by joining the leading performance-driven advertising company! As a Product Marketing Manager on our Global Marketing team, you will play a vital role in bridging the gap between Product, Sales, Services, Marketing, and Customers. You will be responsible for crafting compelling product narratives, building go-to-market strategies, and enabling our teams with impactful messaging, tools, and insights that support revenue growth. Your contributions will directly influence how our advertiser solutions are positioned, adopted, and scaled globally. To thrive in this role, you'll need: 3–5 years of experience in a Product Marketing role Experience developing impactful B2B product narratives, including value proposition development, storytelling, product and portfolio positioning, and solution packaging Exceptional written and verbal communication skills, with the ability to deliver compelling presentations, training materials, and product guides Strong qualitative and quantitative analytical skills to understand the market and prioritize opportunities accordingly Bonus points if you have: Ability to prioritize competing demands across multiple stakeholders and projects Strategic mindset with the ability to translate strategy into tactical execution Proven ability to build trust and influence across departments Proactive approach with a drive to solve problems and create scalable solutions in a fast-paced environment How you'll make an impact: As a Product Marketing Manager , you'll bring value by: Driving business value and revenue growth for Taboola's advertising product portfolio Harnessing a deep knowledge of market trends, customer segments, and the competitive landscape Creating differentiated product positioning and go-to-market strategies for Direct-to-Consumer (DTC) advertisers Developing comprehensive sales enablement kits, product playbooks, and external-facing materials Acting as the voice of the customer within the product marketing function Partnering with Product teams to ensure Taboola's advertiser solutions drive performance outcomes Building strong cross-functional relationships across sales, product, services, and marketing Supporting the global sales organization with scalable tools, collateral, and tailored training What will I do on a regular basis? Market & Messaging Conduct ongoing market and competitive research to refine product messaging and identify opportunities Create and maintain sales toolkits, narratives, and presentations tailored to advertiser segments and use cases Develop end-to-end product marketing strategy for the DTC segment, from positioning to execution Deliver webinars, trainings, and scalable resources to support global sales teams Stakeholder Engagement & Collaboration Act as the primary product marketing contact for advertiser-focused initiatives Partner with Product Managers to ensure product readiness and launch effectiveness Work cross-functionally to align go-to-market strategies and optimize sales adoption Lead internal communication around product updates, positioning changes, and strategic initiatives Sales Enablement & Insights Understand and support the needs of our global sales teams Build internal tools, guides, and customer-facing materials Train sales teams on value proposition, product updates, and customer stories Gather feedback from stakeholders to continuously improve marketing assets and messaging Why Taboola? If you ask Taboolars what they love about working here, they'll tell you that they've been empowered to realize their full potential while growing and learning from and with smart and talented people. They'll also share more about: Adam Singolda , Taboola Founder and CEO says: "You can copy anything from another business but you can't copy a company's culture." Enjoy medical benefits, a fully stocked kitchen, and location-specific perks (gym partnerships, parking) Flexibility: We offer a hybrid work schedule with 3 days in-office and an option to come in more often if desired Work with some of the biggest names: Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia, and more Ready to realize your potential? Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need. Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog. About Taboola Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale. Taboola works with thousands of businesses who advertise directly on Realize , Taboola's powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola's technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale. #LI-Hybrid #LI-MK1

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2.0 - 4.0 years

0 - 0 Lacs

Farīdābād

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Job Summary: We are looking for a creative and results-driven Digital Marketing Executive to manage and grow our brand’s online presence. The ideal candidate should have hands-on experience with social media platforms (Instagram, LinkedIn, Facebook) and be skilled in running paid ad campaigns on Google Ads and Meta Ads (Facebook & Instagram). Key Responsibilities: Plan and execute digital marketing strategies to increase brand visibility and engagement Manage and update social media pages (Instagram, Facebook, LinkedIn) regularly with creative content Run and optimize paid ad campaigns on Google Ads and Meta Ads Manager (Facebook & Instagram) Monitor ad performance and adjust campaigns based on analytics to improve ROI Create and schedule content including posts, stories, reels, and sponsored ads Track and report on website and campaign performance using tools like Google Analytics Conduct keyword research and support SEO strategies Collaborate with graphic designers and content creators for campaign creatives Stay up-to-date with the latest trends in digital marketing, algorithms, and social media features Handle online inquiries, messages, and reviews professionally Requirements: Bachelor’s degree in Marketing, Digital Media, or a related field Minimum 2 to 4 years of experience in digital marketing or social media management Strong knowledge of Google Ads , Meta Ads , and social media platforms Experience with analytics tools like Google Analytics, Meta Insights, etc. Creative thinking and strong written communication skills Ability to multitask and meet deadlines Familiarity with content creation tools like Canva or Adobe Suite (optional but a plus) Job Type: Full-time Pay: ₹30,000.00 - ₹40,000.00 per month Work Location: In person

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0.0 - 2.0 years

0 Lacs

Chennai, Tamil Nadu, India

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Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Job Description/Preferred Qualifications Preferred to have a graduate or pos-graduate degree in Engineering/Science. The selected Software QA Engineer will join a world-class software team to plan, manage, execute, and report results for all qualification activities for the PoR/team. He/She will be trained to be an effective team player and leader that will be responsible for the quality of all released products. He/She will be a strong process advocate with an acute attention to detail and desire to continually improve the Qualification process. He/She must be able to partner with other functional teams to resolve quality issues quickly. Key Responsibilities Include: Play role of full stack test engineer for software of KLA Products Qualification of new and existing products and features (functional/requirements based, regression, performance, reliability). This includes designing and qualifying, publishing results and recommendations in the form of training material, best known methods Ability to understand and develop test cases for products that use Deep Learning or machine learning Algorithms. Ability to technically interact with Algorithms, System Engineering, Application Engineering, Marketing and Manufacturing, Customer Support team for various requirements across the globe. Interact with cross locational teams. Automate the test cases and make them part of the CI pipeline for automatic execution Participate in all stages of software development including deployment/trouble shooting at customer sites. Represent SQE team in product life cycle and key program meetings Travel to customer fabrication and MFG facilities to understand the system and its sub-systems, customer use cases, for deploying SW and troubleshooting. Minimum Qualifications Master's Level Degree or work experience of 0-2 years , Bachelor's Level Degree or work experience of 1-3 years We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees. KLA is proud to be an equal opportunity employer Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information. Show more Show less

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2.0 years

10 - 12 Lacs

Gurgaon

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Job Overview We are looking for a dynamic and innovative Full Stack Data Scientist with 2+ years of experience who excels in end-to-end data science solutions. The ideal candidate is a tech-savvy professional passionate about leveraging data to solve complex problems, develop predictive models, and drive business impact in the MarTech domain. Key Responsibilities 1. Data Engineering & Preprocessing Collect, clean, and preprocess structured and unstructured data from various sources. Perform advanced feature engineering, outlier detection, and data transformation. Collaborate with data engineers to ensure seamless data pipeline development. 2. Machine Learning Model Development Design, train, and validate machine learning models (supervised, unsupervised, deep learning). Optimize models for business KPIs such as accuracy, recall, and precision. Innovate with advanced algorithms tailored to marketing technologies. 3. Full Stack Development Build production-grade APIs for model deployment using frameworks like Flask, FastAPI, or Django. Develop scalable and modular code for data processing and ML integration. 4. Deployment & Operationalization Deploy models on cloud platforms (AWS, Azure, or GCP) using tools like Docker and Kubernetes. Implement continuous monitoring, logging, and retraining strategies for deployed models. 5. Insight Visualization & Communication Create visually compelling dashboards and reports using Tableau, Power BI, or similar tools. Present insights and actionable recommendations to stakeholders effectively. 6. Collaboration & Teamwork Work closely with marketing analysts, product managers, and engineering teams to solve business challenges. Foster a collaborative environment that encourages innovation and shared learning. 7. Continuous Learning & Innovation Stay updated on the latest trends in AI/ML, especially in marketing automation and analytics. Identify new opportunities for leveraging data science in MarTech solutions. Qualifications Educational Background Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Technical Skills Programming Languages: Python (must-have), R, or Julia; familiarity with Java or C++ is a plus. ML Frameworks: TensorFlow, PyTorch, Scikit-learn, or XGBoost. Big Data Tools: Spark, Hadoop, or Kafka. Cloud Platforms: AWS, Azure, or GCP for model deployment and data pipelines. Databases: Expertise in SQL and NoSQL (e.g., MongoDB, Cassandra). Visualization: Mastery of Tableau, Power BI, Plotly, or D3.js. Version Control: Proficiency with Git for collaborative coding. Experience 2+ years of hands-on experience in data science, machine learning, and software engineering. Proven expertise in deploying machine learning models in production environments. Experience in handling large datasets and implementing big data technologies. Soft Skills Strong problem-solving and analytical thinking. Excellent communication and storytelling skills for technical and non-technical audiences. Ability to work collaboratively in diverse and cross-functional teams. Preferred Qualifications Experience with Natural Language Processing (NLP) and Computer Vision (CV). Familiarity with CI/CD pipelines and DevOps for ML workflows. Exposure to Agile project management methodologies. Why Join Us? Opportunity to work on innovative projects with cutting-edge technologies. Collaborative and inclusive work environment that values creativity and growth. If you're passionate about turning data into actionable insights and driving impactful business decisions, we’d love to hear from you! Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Benefits: Flexible schedule Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Fixed shift Monday to Friday Experience: Data science: 2 years (Required) Location: Gurugram, Haryana (Preferred) Work Location: In person

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Exploring Algorithms Jobs in India

The algorithms job market in India is thriving, with numerous opportunities available for skilled professionals in this field. Companies across various industries are actively seeking candidates with strong algorithmic skills to help drive innovation and solve complex problems. If you are considering a career in algorithms, India is a great place to start your job search.

Top Hiring Locations in India

  1. Bangalore
  2. Hyderabad
  3. Pune
  4. Delhi
  5. Chennai

Average Salary Range

The average salary range for algorithms professionals in India varies based on experience and skill level. Entry-level positions typically start at around INR 4-6 lakhs per annum, while experienced professionals can earn upwards of INR 15-20 lakhs per annum.

Career Path

A typical career path in algorithms may involve progressing from roles such as Junior Developer, to Senior Developer, and eventually to a Tech Lead position. With experience and expertise, individuals can also move into roles such as Data Scientist, Machine Learning Engineer, or Research Scientist.

Related Skills

In addition to strong algorithmic skills, professionals in this field are often expected to have knowledge and experience in the following areas: - Data structures - Problem-solving - Programming languages (e.g., Python, Java) - Machine learning - Artificial intelligence

Interview Questions

  • What is the difference between a stack and a queue? (basic)
  • Explain the concept of Big O notation. (medium)
  • How would you implement a binary search algorithm? (medium)
  • What is dynamic programming and when is it used? (advanced)
  • Describe the difference between depth-first search and breadth-first search. (medium)
  • How do you handle collisions in a hash table? (advanced)
  • Explain the concept of recursion and provide an example. (basic)
  • What is the Travelling Salesman Problem and how would you solve it? (advanced)
  • What is the difference between greedy and dynamic programming algorithms? (medium)
  • How do you detect a cycle in a linked list? (medium)
  • Describe the concept of memoization. (medium)
  • How would you optimize a given algorithm for better performance? (advanced)
  • Explain the concept of concurrency in algorithms. (advanced)
  • What is the difference between a min-heap and a max-heap? (medium)
  • How do you implement a merge sort algorithm? (medium)
  • Explain the concept of divide and conquer in algorithm design. (medium)
  • What is the purpose of the Dijkstra algorithm? (medium)
  • Describe the concept of backtracking in algorithms. (medium)
  • How do you handle outliers in data analysis algorithms? (advanced)
  • What is the difference between a linked list and an array? (basic)
  • How would you implement a quicksort algorithm? (medium)
  • Explain the concept of parallel computing in algorithms. (advanced)
  • What is the difference between supervised and unsupervised learning algorithms? (medium)
  • Describe the concept of time complexity in algorithms. (basic)

Closing Remark

As you explore algorithms jobs in India, remember to continuously enhance your skills, stay updated with the latest trends in the industry, and practice solving algorithmic problems regularly. With dedication and preparation, you can confidently apply for roles in this exciting and rewarding field. Good luck!

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