42702 Gcp Jobs - Page 27

As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise seach applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop/Convert the database (Hadoop to GCP) of the specific objects (tables, views, procedures, functions, triggers, etc.) from one database to another database platform Implementation of a specific Data Replication mechanism (CDC, file data transfer, bulk data transfer, etc.). Expose data as API Participation in modernization roadmap journey Analyze discovery and analysis outcomes Lead discovery and analysis workshops/playbacks Identification of the applications dependencies, source, and target database incompatibilities. Analyze the non-functional requirements (security, HA, RTO/RPO, storage, compute, network, performance bench, etc.). Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Leads the team to adopt right tools for various migration and modernization method Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

As a managing consultant, you will serve as a client-facing practitioner working collaboratively with clients to deliver high-quality solutions and be a trusted business advisor with deep understanding & Accelerate delivery methodology or equivalent and associated work products. You will lead design workshops, support business development activities and mentor and coach team members to develop their skills and knowledge. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. Your primary responsibilities include: Strategic Solution Leadership: Leading the technical design, development, and implementation of solutions for simplicity, amplification, and maintainability that meet client needs. Team Delivery leadership: Lead and manage high performing team of consultants to deliver work products on time, budget, and quality. Comprehensive Solution Delivery: Involvement in strategy development and solution implementation, leveraging your functional expertise with clients and team members and working with the latest technologies. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise A Storage SME (Subject Matter Expert) with 10–12 years of experience is responsible for architecting, deploying, and managing enterprise-grade storage solutions across on-premises and hybrid cloud environments. This role requires deep expertise in SAN, NAS, object storage, and software-defined storage technologies from major vendors such as NetApp, VEAM, Dell EMC, HPE, Pure Storage, and IBM, along with hands-on knowledge of cloud storage solutions on AWS, Azure, or Google Cloud The ideal candidate is proficient in storage automation (via PowerShell, Python, or Ansible), monitoring tools, and integrating storage into virtualized and containerized environments. Key responsibilities include capacity planning, storage provisioning, performance tuning, replication strategies, and disaster recovery readiness. Preferred technical and professional experience Bachelor’s degree in computer science, Information Technology, or related field. Provide guidance to team and ensure adherence to design. Collaborate with client stakeholders to identify opportunities and assess technical feasibility

About The Position Coralogix is a modern, full-stack observability platform transforming how businesses process and understand their data. Our unique architecture powers in-stream analytics without reliance on expensive indexing or hot storage. We specialize in comprehensive monitoring of logs, metrics, trace and security events with features such as APM, RUM, SIEM, Kubernetes monitoring and more, all enhancing operational efficiency and reducing observability spend by up to 70%. Coralogix is looking for a Country Manager to lead our sales efforts in India you will play a vital role in mentoring and coaching our Enterprise Sales team while developing strategies to expand our presence in the Indian market. You’ll need to be a motivated, intelligent, and humble professional with proven experience in navigating complex organizations, engaging technical audiences, and influencing senior executives to deliver outstanding results. Team Management Lead, coach, and develop the account executive and account management team to achieve business objectives. Foster a culture of excellence, collaboration, and continuous improvement within the team. Set clear team goals and KPIs, and manage performance through regular reviews and feedback. Strategic Account Planning Develop and implement strategic account plans to maintain and grow the company's key client relationships. Define operational processes, programs, systems, and activities to drive excellent renewal outcomes. Identify opportunities for expanding the business with existing clients through cross-selling and up-selling. Client Relationship Management Serve as the lead point of contact for all key client matters, anticipate the client's needs, and work within the company to ensure deadlines for the client are met. Build and maintain strong, long-lasting client relationships. Manage and resolve key client issues and complaints. Revenue Growth Drive your team's acquisition, renewal, upsell, and cross-sell processes in collaboration with Account Executives and Account Managers.Customer Success. The main goal is to retain customers, ensuring their satisfaction with the platform and achieving net dollar retention growth. Monitor and analyze customer usage of our product/services. Report on sales results and forecast future sales. Accurately forecast pipeline and identify renewal opportunities at risk. Operational Excellence Drive customer adoption/usage data, executive relationships, customer health, and other key data and trends, working with Customer Success to proactively address factors that could put a renewal at risk. Collaborate with other departments to ensure a consistent and high-quality client experience. Analyze trends and market conditions for present and future business opportunities. Requirements Requirements: Experience leading enterprise sales teams of 4 or more members in SaaS companies, engaging with technical audiences. Collaborate with our key Stakeholders to develop sales strategies tailored to the Indian market. Act as a player/coach, engaging with key decision-makers (e.g., CTO, CIO, VP/Director of Engineering/DevOps/SRE, LoB leaders) to build a strong sales pipeline. Deliver compelling presentations and messaging, clearly articulating how Coralogix’s platform solves customers' challenges and drives measurable business outcomes. Proven and consistent track record of meeting and exceeding sales quotas. Demonstrated ability to prospect and develop new business opportunities, including outbound pipeline generation. Strong skills in converting prospects into customers through effective discovery, relationship-building, and sales process management. Experience in creating and maintaining territory business plans and providing accurate sales forecasts. Ability to travel within India to meet prospects and attend relevant events and conferences. Advantages Experience ramping a new sales team in a startup environment. Background in sales of Observability, Log Analytics, Monitoring, or APM solutions. Familiarity with cloud-based technologies (AWS, GCP, Azure). Cultural Fit We’re seeking candidates who are hungry, humble, and smart. Coralogix fosters a culture of innovation and continuous learning, where team members are encouraged to challenge the status quo and contribute to our shared mission. If you thrive in dynamic environments and are eager to shape the future of observability solutions, we’d love to hear from you. Coralogix is an equal opportunity employer and encourages applicants from all backgrounds to apply.

HashiCorp solves development, operations, and security challenges in infrastructure so organizations can focus on business-critical tasks. We build products to give organizations a consistent way to manage their move to cloud-based IT infrastructures for running their applications. Our products enable companies large and small to mix and match AWS, Microsoft Azure, Google Cloud, and other clouds as well as on-premises environments, easing their ability to deliver new applications. At HashiCorp, we have used the Tao of HashiCorp as our guiding principles for product development and operate according to a strong set of company principles for how we interact with each other. We value top-notch collaboration and communication skills, both among internal teams and in how we interact with our users. Key Responsibilities Recruit, mentor, and lead a diverse and high-performing engineering team. Foster an inclusive and collaborative team culture. Drive the team to deliver on feature requests that unblock customers and facilitate deals, enhancing the product's capabilities. Work closely with Design, Product, and other cross-functional teams to align on product vision and deliver innovative solutions. Develop and refine robust processes to ensure high availability, scalability, and reliability Prioritize and address customer issues and feedback, continuously improving the customer experience. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise At least 10 years of engineering experience, with a minimum of 3 years in a management role. Experience leading diverse product engineering teams is highly preferred. Strong background in cloud services and infrastructure. Proficiency in Go and familiarity with other programming languages (Python, Ruby) are beneficial. Extensive experience with cloud computing platforms (AWS, Azure, GCP) and infrastructure as code (Terraform). Demonstrated ability to tackle complex technical challenges and deliver innovative solutions. Excellent communication and collaboration skills, with a focus on customer satisfaction and team success. Preferred technical and professional experience Proven track record of building and leading high-performing teams in a fast-paced environment. Familiarity with HashiCorp and IBM Products and Services

We are seeking for a passionate and skilled Python AI Engineer to design, develop and maintain hybrid AI Platform across multi-cloud and on-premises. Build an AI platform that enables real time machine learning and GenAI at scale along with governance and security frameworks. You will collaborate with data engineer, product managers, and software engineers to bring AI-driven products and features to life. Job description Work with frameworks like TensorFlow/PyTorch, Scikit-learn, or similar. Design and implement AI/ML models and algorithms using Python3. Develop and maintain scalable, production-grade machine learning pipelines. Conduct data exploration, preprocessing, feature engineering, and model evaluation. Optimize models for performance and scalability in production environments. Collaborate with cross-functional teams to integrate AI components into real-world applications. Stay up to date with the latest research and industry trends in AI and machine learning. Document experiments, code, and processes for reproducibility and transparency. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills in Python 3. Solid understanding of machine learning fundamentals (classification, regression, clustering, etc.). Experience with ML libraries and frameworks (e.g., Scikit-learn, TensorFlow/PyTorch, XGBoost, etc.). Experience in NLP related to Semantic models/Search using BERT/ transformer model. Experience with Gen AI ecosystem/tools is a plus. Experience in data wrangling using Pandas/Polaris, NumPy, SQL, etc. Good grasp of software engineering principles (version control, testing, modular code). Preferred technical and professional experience Familiarity with REST APIs and deployment practices (Dockerized Container, Flask/FastAPI, etc.). Understanding of cloud platforms (AWS, GCP, Azure) is a plus. Problem-Solving: Excellent analytical and problem-solving skills, with the ability to think critically and creatively. Communication: Strong interpersonal and communication skills, with the ability to work effectively in a collaborative team environment

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and Al journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. In your role, you will be responsible for: Skilled Multiple GCP services - GCS, BigQuery, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer etc. Must have Python and SQL work experience & Proactive, collaborative and ability to respond to critical situation Ability to analyse data for functional business requirements & front face customer Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 7 years of relevant experience working as technical analyst with Big Query on GCP platform. Skilled in multiple GCP services - GCS, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies. End to End functional knowledge of the data pipeline/transformation implementation that the candidate has done, should understand the purpose/KPIs for which data transformation was done Preferred technical and professional experience Experience with AEM Core Technologies : OSGI Services, Apache Sling ,Granite Framework., Java Content Repository API, Java 8+, Localization Familiarity with building tools, Jenkin and Maven , Knowledge of version control tools, especially Git, Knowledge of Patterns and Good Practices to design and develop quality and clean code, Knowledge of HTML, CSS, and JavaScript , jQuery Familiarity with task management, bug tracking, and collaboration tools like JIRA and Confluence

This role is for one of Weekday's clients Salary range: Rs 1400000 - Rs 1800000 (ie INR 14-18 LPA) Min Experience: 6 years Location: NCR JobType: full-time Requirements We are seeking a highly skilled and motivated Java Fullstack Developer with a minimum of 6 years of experience to join our technology team. The ideal candidate will have deep expertise in Java for backend development and ReactJS for building rich, interactive front-end applications. This role offers an opportunity to design, develop, and deliver end-to-end solutions, working closely with cross-functional teams to translate business requirements into scalable technical solutions. As a senior fullstack engineer, you will be instrumental in shaping our applications, mentoring junior developers, and contributing to architectural decisions that support business growth. Key Responsibilities End-to-End Development: Design, build, and maintain scalable applications using Java (Spring Boot, J2EE, Hibernate) for backend and ReactJS for the front-end. Develop RESTful APIs and integrate them with frontend components for seamless user experiences. Work on microservices architecture to ensure modular, maintainable, and performant systems. Frontend Engineering: Develop responsive, interactive, and intuitive user interfaces using ReactJS, Redux, JavaScript, HTML5, and CSS3. Ensure cross-browser compatibility and optimize front-end performance. Collaborate with UI/UX teams to transform designs into functional applications. Backend Engineering: Write clean, efficient, and scalable code using Java frameworks. Manage databases (SQL/NoSQL) and ensure secure and efficient data management. Implement robust authentication, authorization, and other security practices. Collaboration & Leadership: Work closely with product managers, QA teams, and business stakeholders to deliver high-quality solutions. Mentor junior developers, perform code reviews, and promote best coding practices. Actively participate in sprint planning, architecture discussions, and Agile ceremonies. Quality & Compliance: Ensure adherence to coding standards and maintain detailed documentation. Write and execute unit tests, integration tests, and participate in continuous integration and deployment (CI/CD) pipelines. Troubleshoot, debug, and resolve complex technical issues. Required Skills & Qualifications Technical Expertise: 6+ years of professional experience in fullstack development with a strong focus on Java and ReactJS. Proficiency in Spring Boot, J2EE, Hibernate, REST APIs, and Microservices architecture. Advanced knowledge of ReactJS, Redux, JavaScript (ES6+), HTML5, and CSS3. Experience with relational and non-relational databases such as MySQL, PostgreSQL, MongoDB. Familiarity with DevOps practices and CI/CD tools like Jenkins, GitHub Actions, or GitLab CI. Understanding of cloud platforms such as AWS, Azure, or GCP is a plus. Soft Skills: Strong analytical, problem-solving, and debugging skills. Excellent communication and interpersonal skills to work effectively in cross-functional teams. Ability to mentor team members, take ownership, and drive projects to completion. Adaptability to thrive in a fast-paced, dynamic environment.

Chief Architect / Principal Architect - AI & Digital Solutions (Leadership Role Pre-sales) Exp : 18+ yrs Location : Any Aziro Location About the Role: We are seeking a visionary Chief Architect / Principal Architect with a strong leadership focus, who brings deep expertise in AI, Cloud, and Enterprise Architecture combined with a strategic mindset for pre-sales and solution consulting. This dual-role position is perfect for a seasoned technologist who thrives at the intersection of AI/ML, Agentic AI, RAG, MLOps, Data Engineering, Cloud Architecture, and digital transformation consulting. You will not only define the strategic vision and architecture of next-generation platforms but also lead and scale pre-sales engagementscrafting compelling solutions, engaging with customers, and converting opportunities into tangible outcomes. Key Responsibilities: Lead the architecture and design of AI-driven platforms, Agentic AI solutions, and cloud-native enterprise applications. Architect and oversee the development of scalable LLM-based chatbot solutions, Knowledge Management AI systems, and RAG pipelines. Design secure and efficient cloud architectures with deep expertise in Azure, AWS, or GCP. Drive innovation through hands-on prototyping, PoCs, and feasibility analysis of Generative AI models, multi-LLM integration, and LangGraph workflows. Collaborate with cross-functional teams, including Product, Data Science, DevOps, and Engineering, to align AI solutions with business goals. Provide technical leadership in IT strategy for startups, advising on AI adoption, cloud transformation, and scalable product architectures. Lead and manage the pre-sales team for digital transformation projects, working closely with sales, marketing, and delivery teams to create customized solutions, present proposals, build client trust, and accelerate business growth. Respond to RFPs, create reusable solution accelerators, and design end-to-end architectures for client demos and strategic pursuits. Participate in client workshops, understand pain points, and translate business needs into actionable technical roadmaps. Head the Architecture practice and provide executive leadership, establishing frameworks, best practices, and governance for enterprise-wide technology strategy. Key Qualifications: 15+ years of experience in software architecture, cloud computing, and AI/ML-driven solutions. Strong background in DevOps, CI/CD, and cloud-native architectures (Azure, AWS, GCP). Experience in designing and deploying secure, scalable, and cost-optimized data platforms. Deep knowledge of enterprise AI solutions, chatbot development, and AI-powered process automation. Strong leadership and communication skills, with a track record of mentoring teams and driving architectural excellence. Experience working with startups or innovation labs to build and scale AI-driven products. Extensive experience in product development across B2C and B2B domains; experience in the Payment Domain will be a plus. Proven success in cloud migration, modernization initiatives, and building secure authentication flows using OAuth2, SAML2, and social logins. Expertise in integrating complex systems using ETL pipelines, Queuing solutions, and Enterprise Integration products. Demonstrated ability to balance strategic oversight with hands-on technical execution. Why Join Us? Competitive Compensation: We offer industry-leading salaries that reflect your expertise and contributions. Dynamic Work Culture: Experience a flat organizational structure with flexible work arrangements, including remote work options, fostering autonomy and collaboration. Professional Development: Benefit from sponsored training, attendance at industry events, and educational conferences to enhance your skills and stay ahead in AI and cloud technologies. Wellness Programs: Participate in initiatives designed to support your physical and mental well-being, ensuring a balanced work-life experience. Inclusive Environment: Join a team that values diversity and provides equal opportunities for all employees, fostering a culture of innovation and respect. Corporate Social Responsibility: Engage in meaningful projects that give back to the community, such as collaborations with esteemed organizations. Empowerment Initiatives: Take advantage of programs supporting professionals resuming their careers with flexible work options. Be part of a proven leadership team that champions code quality, design congruence, and innovation, helping you grow in both technical and leadership dimensions. At Aziro Technologies, we are committed to fostering an environment where innovation thrives, and employees are empowered to excel in their careers. If you are a hands-on architect who thrives in AI, cloud, and enterprise transformation, and want to climb the leadership ladder, wed love to connect!

Matillion is The Data Productivity Cloud. We are on a mission to power the data productivity of our customers and the world, by helping teams get data business ready, faster. Our technology allows customers to load, transform, sync and orchestrate their data. We are looking for passionate, high-integrity individuals to help us scale up our growing business. Together, we can make a dent in the universe bigger than ourselves. With offices in the UK, US and Spain, we are now thrilled to announce the opening of our new office in Hyderabad, India. This marks an exciting milestone in our global expansion, and we are now looking for talented professionals to join us as part of our founding team. We are now looking for Staff Quality Engineers to join #Team Green About the Role Matillion is built around small development teams with responsibility for specific themes and initiatives. Each team is a mix of engineers with various levels of skills and experience. As a Staff Quality Engineer you will assume a senior position within the team, providing advanced technical guidance and extensive experience in embedding quality checks across the entire development lifecycle. The primary objective is to optimise service delivery by ensuring efficiency, control, and high quality code at every stage. Beyond daily operations, you will play a pivotal role in driving and enhancing the overall quality journey within Engineering. What you will be doing As a Staff Quality Engineer, you will mentor junior team members through hands-on guidance while overseeing testing efforts. You'll design and implement quality frameworks that ensure efficient assurance processes across all services and products. Driving a shift-left, automation-first approach, you'll advocate for testing excellence within the team and across the company. Utilising a range of testing tools—spanning automation, security, accessibility, and performance—you'll continuously enhance your skills. Additionally, you'll foster collaboration within cross-functional teams to elevate quality standards throughout the engineering organisation What we are looking for Proficiency in end-to-end testing of SaaS applications, with expertise in various testing approaches (e.g., rapid, risk-based, exploratory, regression, security, usability) for distributed systems Strong experience in developing and maintaining test automation tools for contract, integration, accessibility, performance, and security testing across applications and services Deep understanding of the software development life cycle and CI/CD pipelines, with experience in agile methodologies like Kanban and Scrum, driving quality from business, customer, and technical perspectives Proficiency in Java/JavaScript, enabling effective codebase navigation and implementation of quality frameworks such as Cypress and Pact Experience with cloud technologies (AWS, GCP, or Azure), along with strong knowledge of databases and SQL, and a commitment to continuous learning and improvement in quality engineering practices Matillion has fostered a culture that is collaborative, fast-paced, ambitious, and transparent, and an environment where people genuinely care about their colleagues and communities. Our 6 core values guide how we work together and with our customers and partners. We operate a truly flexible and hybrid working culture that promotes work-life balance, and are proud to be able to offer the following benefits: - Company Equity - 27 days paid time off - 12 days of Company Holiday - 5 days paid volunteering leave - Group Mediclaim (GMC) - Enhanced parental leave policies - MacBook Pro - Access to various tools to aid your career development More about Matillion Thousands of enterprises including Cisco, DocuSign, Slack, and TUI trust Matillion technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI. With over $300M raised from top Silicon Valley investors, we are on a mission to power the data productivity of our customers and the world. We are passionate about doing things in a smart, considerate way. We’re honoured to be named a great place to work for several years running by multiple industry research firms. We are dual headquartered in Manchester, UK and Denver, Colorado. We are keen to hear from prospective Matillioners, so even if you don’t feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you are interested in Matillion but don't see a suitable role, please email talent@matillion.com. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.

About The Role We are looking for skilled & motivated engineers to help build core components of the Risk Platform at Uber that powers areas like Risk, Safety and more. The technology you build will allow us to create a turn-key platform that will fuel growth at Uber via many applications as we move real people and things, in 450+ cities across the world. In this role, you will be building distributed infrastructure and services serving ML based decisions at Uber scale for critical business functions where high availability and reliability are not metrics but core requirements. You will also get to work on systems that detect and mine anomalies in petabytes of data flowing through our systems and surfacing insights and actions that form a strong feedback loop to improve ML models and highly sophisticated decision predicates. This is a very high impact role where you will interface with all major infrastructure teams at Uber. This is a unique opportunity for an experienced engineer who is collaborative, has a healthy sense of curiosity and acts with responsibility to join Uber, work with talented people across the board and help improve our next generation payments systems, scaling it to the next level. Actively seek out the toughest technology and engineering problems and solve them as a team. Own opportunities and initiatives and drive clarity, convergence and closure across teams. Raise the bar on sustainable engineering by improving best practices, producing best in class of code, documentation, testing and monitoring. Be a humble mentor and trusted advisor for both our talented team members and passionate leaders alike. Deal with a differences in opinion in a mature and fair way, helping teams to commit and move forward. Act on execution of projects with good judgement and responsibility What the Candidate Will Need / Bonus Points ---- What the Candidate Will Do ---- Architect, design, and develop robust backend services and scalable APIs. Lead the development and optimization of backend applications using modern technologies Oversee the integration of complex data workflows and pipelines. Ensure the scalability, performance, and reliability of software applications. Conduct code reviews, design discussions, and technical mentorship. Collaborate with cross-functional teams to deliver comprehensive, end-to-end solutions. Stay current with emerging technologies and industry trends to drive innovation. Troubleshoot and resolve critical issues in production and development environments. Provide strategic technical leadership to influence the direction of Uber's technology stack. Develop and maintain comprehensive documentation for software projects and processes. Basic Qualifications 10+ years of experience in software development. Expert proficiency in backend technologies such as Java, Python, Node.js, or Go. Exposure/working with frontend frameworks like React, Angular, or Vue.js and mobile development. Deep understanding of database technologies, including SQL and NoSQL databases. Proficiency with cloud platforms like AWS, GCP, or Azure. Experience with designing and developing RESTful APIs. Mastery of version control systems such as Git. Exceptional problem-solving skills and ability to lead collaborative teams. Excellent communication skills, both verbal and written. Preferred Qualifications Master's Degree or PhD in Computer Science, Engineering, or related field 4+ years of experience as Engineering lead Exposure to or experience with: Product engineering Scalability engineering Distributed systems Track record of delivering results in fast-paced and highly ambiguous environments Org-wide Impact: Demonstrated ability to drive projects with org-wide scope and high impact

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... We are looking for data engineers who can work with world class team members to help drive telecom business to its full potential. We are building data products / assets for telecom wireless and wireline business which includes consumer analytics, telecom network performance and service assurance analytics etc. We are working on cutting edge technologies like digital twin to build these analytical platforms and provide data support for varied AI ML implementations. As a data engineer you will be collaborating with business product owners, coaches, industry renowned data scientists and system architects to develop strategic data solutions from sources which includes batch, file and data streams As a Data Engineer with ETL/ELT expertise for our growing data platform & analytics teams, you will understand and enable the required data sets from different sources both structured and unstructured data into our data warehouse and data lake with real-time streaming and/or batch processing to generate insights and perform analytics for business teams within Verizon. Understanding the business requirements and the technical design. Working on Data Ingestion, Preparation and Transformation. Developing data streaming applications. Debugging the production failures and identifying the solution. Working on ETL/ELT development. What We’re Looking For... You’re curious about new technologies and the game-changing possibilities it creates. You like to stay up-to-date with the latest trends and apply your technical expertise to solving business problems. You’ll Need To Have Bachelor’s degree or one or more years of work experience. Experience of working in Data Warehouse and Data Management life cycle. Experience in any DBMS Experience in Shell scripting, Spark, Scala. Knowledge in GCP/BigQuery. Even Better If You Have Any relevant Certification on ETL/ELT developer. Certification in GCP-Data Engineer. Accuracy and attention to detail. Good problem solving, analytical, and research capabilities. Good verbal and written communication. Experience presenting to and influence stakeholders. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

About This Role Wells Fargo is seeking a Software Engineer In This Role, You Will Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts Identify opportunities for service quality and availability improvements within the technology domain environment Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments Review and analyze technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domains Present recommendations for resolving issues or may escalate issues as needed to meet established service level agreements Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements Provide information to technology colleagues, internal partners, and stakeholders Required Qualifications: 2+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Should have Solid work experience on financial project execution. Should have good experience in ETL tool AB-Initio, Python & Spark. Should have strong experience in BIGDATA and Database Should have good understanding in Cloud like GCP or Azure Job Expectations: Resource should have hands-on development experience in ETL tool AB-Initio, Python & Spark. Should have experience in BIGDATA, SQL database programming, SQL performance tuning, relational model analysis. Must have the ability to relate to both business and technical members of the team and possess excellent communication skills. Working experience in Agile Methodology is added advantage. Demonstrated expertise troubleshooting complex data questions Ability to work well with other teams to resolve production issues and high problem solving skills Excellent communication and interpersonal skills, coordination's Active participation in meetings with business partners and Stakeholder Management Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors Oversee the data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals Posting End Date: 25 Aug 2025 Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants With Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment And Hiring Requirements Third-Party recordings are prohibited unless authorized by Wells Fargo. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. Reference Number R-469452

Mode of Work: Hybrid Job Title: Technical Project Manager – AI Programs Location: Noida Department: AI Solutions / Digital Transformation Reporting To: Director – AI Product & Platform Delivery Employment Type: Full-time Role Summary: We are seeking a dynamic and experienced Technical Project Manager to lead AI-driven initiatives across a complex, matrixed enterprise environment. This role involves managing multiple AI technology partners, coordinating infrastructure provisioning, aligning DevSecOps practices, handling change management, and ensuring seamless deployments. The ideal candidate will possess strong technical acumen, stakeholder management skills, and the ability to navigate ambiguity and drive results. Key Responsibilities: Area Responsibilities Program Management • Lead end-to-end delivery of AI solutions, from scoping through deployment • Define and manage program plans, risks, dependencies, and budgets Partner & Vendor Management • Coordinate with AI technology partners, platform providers, and service vendors • Manage SLAs, compliance, onboarding, and performance reviews Tech Infra & DevSecOps • Align infrastructure provisioning across cloud/on-prem environments • Ensure adherence to DevSecOps, InfoSec, and CI/CD standards Change & Release Management • Drive structured change management for AI deployments across functions • Ensure business continuity, rollback readiness, and impact assessments Cross-Functional Leadership • Liaise with product owners, SMEs, architects, and ops leads across departments • Navigate organizational complexity to unblock issues and align priorities Deployment & Adoption • Plan and track phased rollouts, user onboarding, UAT, and hypercare • Own user engagement, feedback loop, and continuous improvement Resource & Stakeholder Management • Manage project resources, allocations, and utilization metrics • Communicate effectively with senior leadership, sponsors, and governance bodies Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 8–12 years of total experience, with at least 4–5 years in technical project/program management Proven track record managing AI/ML, cloud-native, or enterprise-grade digital initiatives Strong understanding of AI architectures, cloud (Azure/AWS/GCP), APIs, and security principles Experience with tools like Jira, Azure DevOps, ServiceNow, Confluence, Miro Certifications preferred: PMP, PRINCE2, Agile/Scrum, ITIL, SAFe Core Competencies: Strategic Thinking & Execution Strong Communication & Negotiation Skills Problem-Solving in Ambiguous Environments Organizational Navigation in Matrix Setups Vendor & Technology Ecosystem Awareness Change Agility and Business Process Understanding

We are looking for a Palo Alto Architect with strong experience in Palo Alto Firewalls, Panorama, Prisma Access, and Cortex XDR . Must have expertise in network security, firewall design/migration, rule optimization, cloud security (AWS/Azure/GCP), Zero Trust & SASE frameworks . PCNSE certification preferred Design & implement Palo Alto firewalls (PA/VM Series) Responsibilities-: Manage Panorama, Prisma Access & Cortex XDR Define/enforce security policies, segmentation & access controls Lead firewall migration, optimization & troubleshooting Work with cloud & security teams to ensure compliance & risk mitigation Skills: Palo Alto Firewalls, Panorama, Prisma, Cortex, BGP/OSPF, IPSec/SSL VPNs, Cloud Security (AWS/Azure/GCP), Zero Trust/SASE, IDS/IPS, SIEM. PCNSE preferred .

About the Job! Greetings ! from Teamware Solutions a division of Quantum Leap Consulting Pvt Ltd ! Job Description: Role: Infra Apps Engineer Experience: 5-10Yrs Location : Bangalore / Hybrid / 2days of Office work Work Timings: 12:00 PM – 9:00 PM IST (Flexibility Required) Notice Period: Immediate to 20 Days preferred Connect for Faster Comm 👉👉 LinkedIn JD: We are seeking a highly experienced Infrastructure Application Migration Specialist to lead and support the end-to-end migration of applications between data centers and cloud. The ideal candidate will have deep technical expertise in infrastructure platforms, application discovery, cutover strategies, and risk management, with a proven track record of successful on-premises data center migration projects Required Skills & Experience: Hands-on experience with data center infra migration, server consolidation, or platform rehosting projects along with shell scripting, batch scripting or PowerShell scripting. Proficiency with tools such as CMDBs, discovery tools (e.g., ServiceNow, Device42), and migration orchestration platforms. Familiarity with network architecture, firewall rules, load balancers , and DNS transition planning. Solid understanding of virtualization technologies (e.g., VMware, HCX etc), middleware , and enterprise storage. Strong knowledge of application lifecycle management, configuration management , and disaster recovery planning. Familiarity with CI/CD pipelines and DevOps practices for cloud deployments and IAC tools like Terraform Strong problem-solving skills with the ability to troubleshoot complex cloud infrastructure issues. Excellent communication skills for client interaction and technical documentation. Continuous learner mindset to keep up with evolving cloud technologies and industry trends. Preferred Skills: Experience in migrations involving Chef, Tanium, Red Hat Satellite, NetApp, Ansible, SolarWinds, Sunbird, 1Desk, KillDisk, Thousand Eyes, or similar infrastructure platforms. Exposure to hybrid environments including cloud integration (AWS, Azure, GCP) and co-location facilities. ITIL certification or experience working within an ITIL-aligned organization. Strong project management skills and ability to lead cross-functional teams. Excellent written and verbal communication, stakeholder engagement, and reporting skills. Technical Certificates: Preferred to have Cloud Certification, VMware certification , AWS Certified Solutions Architect – Professional, Microsoft Certified: Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect Basic Qualifications: Bachelor’s degree in computer science, Information Technology, or a related engineering discipline. A BE / B. Tech degree with relevant specialization will be preferred

About the Role: We are looking for a hands-on Technical Leader who can drive both modernization of enterprise applications and lead AI/ML initiatives for global clients. This role combines strong coding skills (Angular + Spring Boot), delivery ownership, and solutioning with AI/ML for business transformation. Key Responsibilities: Application Modernization: Lead migration of legacy applications into cloud-ready, scalable, and API-driven platforms. Stay hands-on with Angular (latest) and Spring Boot (Java) to design and deliver enterprise-grade solutions. Ensure technical excellence with code reviews, best practices, and secure design principles. AI/ML Solutioning & Delivery: Partner with customers to identify AI/ML use cases and translate them into implementable solutions. Drive PoCs, pilots, and integrations of ML/GenAI into existing business systems. Collaborate with data engineers and AI specialists to design pipelines, training workflows, and deployment strategies. Ensure governance, model monitoring, and explain ability in AI solutions for enterprise adoption. Delivery & Project Management: Act as Scrum Master lead sprint planning, stand-ups, retrospectives, and stakeholder reviews. Translate business requirements into actionable user stories and track delivery through Jira/Confluence. Manage risks, dependencies, and ensure on-time, high-quality project delivery. Serve as the single point of contact for client stakeholders. Team Leadership: Mentor and upskill developers in modern web stacks and AI/ML practices. Promote DevOps and CI/CD best practices. Build a culture of innovation and accountability. Requirements: 6-15 years of experience in software development & delivery. Strong hands-on experience in Angular (latest) and Spring Boot (Java). Proven experience in application modernization projects. Exposure to AI/ML solution delivery (implementation, integration, or prototyping). Solid understanding of Agile/Scrum with real-world project leadership. Strong communication, problem-solving, and client management skills. Nice to Have: Domain knowledge in logistics, shipping, or marine industry. Certifications: CSM, PMI-ACP, or equivalent Agile/PM credentials. Cloud experience with AWS, Azure, or GCP (esp. for AI workloads). Knowledge of MLOps practices (model lifecycle, monitoring, drift detection). Familiarity with Generative AI frameworks (Hugging Face, LangChain, OpenAI APIs). Perks & Benefits: Opportunity to lead high-impact modernization and AI/ML projects with global clients. Visibility into next-gen AI adoption in enterprise environments. Collaborative and innovation-driven team culture. Career growth across both technical leadership and delivery management tracks.

Key Responsibilities: - Lead the end-to-end migration of observability systems from Azure Monitor to Datadog. - Design, build, and maintain Datadog dashboards, alerts, and SLO-based monitors. - Instrument applications and services to capture metrics, logs, and traces following best practices. - Implement and maintain logging infrastructure using Fluentd, with enhanced tagging and log enrichment. - Work with development and operations teams to ensure high availability, scalability, and reliability of services. - Implement infrastructure as code (IaC) for observability components using tools like Terraform. - Automate manual processes for monitoring, alerting, and environment setup using CI/CD pipelines. Required Skills & Experience: - 48 years of combined experience in DevOps, SRE, or Observability Engineering roles. - Proven expertise in Datadog setup, configuration, APM instrumentation, and dashboarding. - Solid understanding and hands-on experience with Google Cloud Platform (GCP) services. - Experience in migrating observability platforms (preferably from Azure Monitor to Datadog or similar). - Strong experience with Fluentd, including log parsing, enrichment, and custom tagging. - Hands-on experience with CI/CD pipelines, preferably using GitLab CI, Jenkins, or GitHub Actions. - Proficiency with Infrastructure as Code tools (e.g., Terraform, Helm, Kustomize). - Good understanding of SRE practices: SLOs, SLIs, error budgets, and incident response. - Scripting skills in Python, Bash, or similar languages for automation. - Familiarity with containerized environments (e.g., Docker, Kubernetes). - Experience with advanced Datadog features such as: - Custom metrics and tags - Datadog Synthetic Monitoring - Real User Monitoring (RUM) - Log processing pipelines and processors - Watchdog and anomaly detection features - Service Map and Out-of-the-box dashboards - Datadog Notebooks for collaborative troubleshooting.

Job Title: Full-Stack App Developer – BizVidya Type: Equity Only (No fixed compensation until funding) Commitment: 20–25 hours/week, Remote & Flexible About BizVidya BizVidya is an education technology startup focused on building end-to-end IT solutions for colleges and universities . We aim to transform how institutions understand and engage with students by collecting and analyzing behavioral, academic, and operational data through apps, IoT devices, and advanced analytics . Our larger mission is to become an end-to-end solutions provider for higher education and create strong industry-academia collaborations , especially aligning MSMEs with colleges . We are currently assembling a core team of passionate builders, ready to take ownership in exchange for long-term equity . Role Overview We are looking for a Full-Stack App Developer who can take charge of designing, building, deploying, and maintaining BizVidya’s core applications . You will work closely with the founder and product team to translate business needs into scalable tech products — apps for students, faculty, and administrators, along with backend systems that integrate IoT and analytics. This role is ideal for someone who thrives in early-stage startups , loves hands-on coding , and can move fast to build MVPs and scalable platforms . Key Responsibilities Product Development Build and maintain full-stack web & mobile applications for BizVidya (student-facing and admin-facing). Develop scalable backend architecture (APIs, databases, authentication, integrations). Build user-friendly front-end interfaces with a focus on accessibility and performance. Implement IoT data integration pipelines (from campus devices to dashboards). Ensure data privacy, security, and compliance with educational data standards. Deployment & Operations Set up cloud infrastructure and DevOps pipelines (AWS/GCP/Azure, Docker, CI/CD). Optimize applications for scalability, performance, and reliability. Build automated testing frameworks to maintain code quality. Handle release cycles and app deployment (web + mobile). Collaboration & Strategy Work with product, data science, and operations teams to align tech with business needs. Provide technical insights into product roadmaps and feature prioritization. Participate in fundraising discussions by contributing tech strategy & scalability narrative. Mentor junior developers/tech interns as the team scales. What We’re Looking For Strong experience in full-stack development: Frontend: React / React Native / Angular / Flutter Backend: Node.js / Django / Spring Boot Databases: PostgreSQL / MongoDB / MySQL Cloud & DevOps: AWS / GCP / Azure, Docker, Kubernetes, CI/CD Prior experience building apps from scratch (MVP → deployment → scale). Familiarity with IoT integrations, data analytics platforms, or education tech is a big plus. Strong problem-solving skills, ability to work in ambiguity, and a founder’s mindset. Willingness to work purely on equity at the ideation stage with long-term commitment. What You’ll Gain Equity ownership in BizVidya, a fast-growing EdTech startup. Opportunity to build the core product from ground zero. Exposure to IoT + EdTech + Data analytics ecosystem. Direct collaboration with the founder and early team on strategic decision-making. Long-term growth as Tech Lead / CTO as the company scales. 📌 This role is for someone who doesn’t just want to “build apps” but wants to own and scale the entire technology backbone of a disruptive education startup. Skills: data,app,aws,analytics,hyperapp

About the Role: We are seeking a highly skilled and principled Responsible AI Evaluator to assess, audit, and ensure the ethical development and deployment of AI models across the enterprise. This role spans traditional ML models, Large Language Models (LLMs), and Generative AI systems, with a strong focus on fairness, transparency, privacy, security, and accountability across multi-cloud environments (AWS, Azure, GCP, etc.). The ideal candidate combines deep technical expertise with a firm grasp of ethical frameworks, regulatory requirements, and responsible AI principles. Key Responsibilities: Model Evaluation & Auditing Evaluate AI/ML, LLM, and GenAI models for bias, fairness, explainability, and robustness. Conduct red-teaming, safety testing, and adversarial analysis across AI pipelines. Perform pre-deployment, post-deployment, and continuous model audits. Responsible AI Frameworks Operationalize and implement RAI principles based on NIST AI RMF, OECD, ISO/IEC 42001, and industry standards. Collaborate with data scientists, legal, compliance, and product teams to enforce responsible AI lifecycle checkpoints. Multi-Cloud Deployment Compliance Ensure AI/ML systems deployed across AWS, Azure, GCP, and hybrid environments meet data residency, compliance, and ethical standards. Evaluate model behavior variability and risk exposure across different cloud providers. Tooling & Automation Build or integrate tools for model explainability (e.g., SHAP, LIME), fairness (AIF360, Fairlearn), and privacy (DP libraries). Leverage LLM-specific eval frameworks (e.g., TruthfulQA, HELM, RAGAS, model-card generators). Documentation & Reporting Produce model cards, system cards, and impact assessments (e.g., DSA, DPIA). Deliver detailed evaluation reports, risk scores, and mitigation recommendations for internal and external stakeholders. Required Qualifications: 5+ years of experience in AI/ML evaluation, testing, or assurance roles. Proven experience with LLMs (e.g., GPT, Claude, LLaMA) and generative AI (e.g., DALL·E, Midjourney, custom diffusion models). Strong knowledge of fairness, bias detection, differential privacy, red-teaming, model transparency techniques. Familiarity with AI regulation and governance (EU AI Act, FTC guidance, DSA, HIPAA, etc.). Experience with cloud platforms (AWS, Azure, GCP) and deploying/evaluating AI services in distributed architectures. Proficiency in Python and libraries such as scikit-learn, Transformers, LangChain, MLflow, PyTorch, etc. Strong communication and reporting skills, with the ability to translate technical findings into business risk language. Preferred Qualifications: Master’s or PhD in Computer Science, Data Science, Ethics, or related field. Prior work with model evaluation benchmarks and large-scale LLM testing frameworks. Knowledge of secure and privacy-preserving ML techniques (e.g., federated learning, homomorphic encryption). Experience contributing to open-source Responsible AI tools or policy frameworks. Why Join Us: Work at the cutting edge of AI ethics, safety, and trust. Collaborate with interdisciplinary teams across engineering, legal, and policy. Influence how AI is responsibly used across industries and sectors. Shape a safer and more accountable AI future.

About Lowe’s Lowe's Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 17 million customer transactions a week in the U.S. With total fiscal year 2022 sales of over $97 billion, approximately $92 billion of sales were generated in the U.S., where Lowe's operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe's supports the communities it serves through programs focused on creating safe, affordable housing and helping to develop the next generation of skilled trade experts. About Lowe’s India At Lowe's India, we are the enablers who help create an engaging customer experience for our $97 billion home improvement business at Lowe's. Our 4000+ associates work across technology, analytics, business operations, finance & accounting, product management, and shared services. We leverage new technologies and find innovative methods to ensure that Lowe's has a competitive edge in the market. About the Team The Pricing Analytics team assists pricing managers and merchants in defining and optimizing pricing strategies for different product categories across various channels. The team uses advanced analytics to forecast and measure the impact of pricing decisions, develop strategic price zones, recommend price adjustments, and identify sales and margin opportunities to help achieve company targets. Job Summary The primary purpose of this role is to develop and maintain descriptive and predictive analytics models and tools that support Lowe's pricing strategy. Collaborating closely with the Pricing team, the analyst will help translate pricing goals and objectives into data and analytics requirements. Utilizing both open source and commercial data science tools, the analyst will gather and wrangle data to deliver data driven insights, trends, and identify anomalies. The analyst will apply the most suitable statistical and machine learning techniques to answer relevant questions and provide retail recommendations. The analyst will actively collaborate with product and business team, incorporating feedback through out the development to drive continuous improvement and ensure a best-in-class position in the pricing space. Roles & Responsibilities Core Responsibilities: Translate pricing strategy and business objectives into analytics requirements. Develop and implement processes for collecting, exploring, structuring, enhancing, and cleaning large datasets from both internal and external sources. Conduct data validation, detect outliers, and perform root cause analysis to prepare data for statistical and machine learning models. Research, design, and implement relevant statistical and machine learning models to solve specific business problems. Ensure the accuracy of model results and build trust in their reliability. Apply machine learning model outcomes to relevant business use cases Educate the pricing team on how to effectively interpret and utilize machine learning model results. Assist in designing and executing A/B tests, multivariate experiments, and randomized controlled trials (RCTs) to evaluate the effects of price changes. Perform advanced statistical analyses (e.g., causal inference, Bayesian analysis, regression modeling) to extract actionable insights from experimentation data. Lead and manage analytics projects, ensuring they are completed on time, within scope, and aligned with business objectives. Lead the exploration and implementation of new analytical techniques, tools, and industry best practices. Collaborate with teams such as Pricing Strategy & Execution, Analytics COE, Merchandising, IT, and others to define, prioritize, and develop innovative solutions. Promote future-proof practices and holistic solutions, adopt new tools and techniques, and identify opportunities for enhancing analytical solutions. Keep up to date with the latest developments in data science, machine learning, statistics, and experimentation techniques. Lead and mentor junior analysts, fostering skill development and growth within the team. Years of Experience: 6-12 years of relevant experience Education Qualification & Certifications (optional) Required Minimum Qualifications: Bachelor’s or Masters in Engineering/business analytics/Data Science/Statistics/economics/math Skill Set Required : Primary Skills (must have) 6+ Ye ars of experience in advance qua ntitative analysis , statistical modeling and machine learning models. Ability to perform various analytical concepts like Regression, Sampling techniques, hypothesis, Segmentation, Time Series Analysis, Multivariate Statistical Analysis,Predictive Modelling. 6+ years’ experience in corporate Data Science, Analytics, Pricing & Promotions, Merchandising, or Revenue Management. 5+ years’ experience working with common analytics and data science software and technologies such as SQL Python, R, or SAS. 5+ years’ experience working with Enterpr ise level databases (e.g., Hadoop, Teradata, Oracle, DB2). 5+ years’ experience using enterprise-grade data visualization tools (e.g ., Power BI , Tableau). 5+ years’ experience working with cloud platforms (e. g., GCP, Azure ,AWS). Secondary Skills (desired) : Technical expertise in Alteryx and Knime.

Are you ready to write your next chapter? Make your mark at one of the biggest names in payments. We’re looking for a Java Developer to join our ever evolving WPT Server team . and help us unleash the potential of every business. What You’ll Own As The Java Developer We are seeking a highly skilled and motivated Java Developer to join our team. Responsibility involved coding, bug fixing, deploying, supporting Java, Kafka, Oracle, On-Prem/Cloud applications Candidate should be responsible for coding, best practices for optimized and quality code, should be technical strong and logical enough to understand complex requirements. You will play a key role in designing, developing, and maintaining scalable enterprise applications. What You Bring The ideal candidate will have strong hands-on experience in Java 8 , Spring Boot , Kafka , and Microservices Architecture . Experience or knowledge of Cloud technologies (AWS, Azure, GCP, etc.) is good to have. Design, develop, and maintain scalable and high-performance applications using Java 8 and Spring Boot. Build and manage microservices architectures, ensuring robust integration and deployment. Implement event-driven systems using Apache Kafka for messaging and streaming requirements. Collaborate with cross-functional teams (Product, QA, DevOps) to deliver high-quality solutions. Write clean, efficient, and well-documented code following industry best practices. Troubleshoot and resolve production issues, ensuring system reliability and performance. Conduct code reviews and mentor junior developers to foster technical growth. Where you'll own it You will own it in our Vibrant Office Locations as Indore/Pune/Bangalore hub . About the team : As part of WPT server team, team is responsible to develop, deploy and support EMBOSS platform which is responsible for transaction happened via POS clients like IPC, IPS and HPA, also team is actively involved in WP360 initiative where team is boarding SMB and UK based merchants for single-in and single-out proposition. What Makes a World Payer What makes a World payer? It’s simple: Think, Act, Win. We stay curious, always asking the right questions and finding creative solutions to simplify the complex. We’re dynamic, every World payer is empowered to make the right decisions for their customers. And we’re determined, always staying open and winning and failing as one. Does this sound like you? Then you sound like a World payer. Apply now to write the next chapter in your career. Privacy Statement Worldpay is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how Worldpay protects personal information online, please see the Online Privacy Notice. Sourcing Model Recruitment at Worldpay works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. Worldpay does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. #pridepass

Key Responsibilities: Build, deploy, and maintain ML models in production environments. Perform feature engineering, data preprocessing, and model evaluation. Integrate ML solutions into existing applications. Automate ML workflows and implement MLOps pipelines. Monitor and troubleshoot model performance and reliability. Required Skills: Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn). Experience with cloud platforms (AWS, GCP, Azure) and CI/CD tools. Knowledge of deep learning, NLP, or computer vision techniques. Familiarity with Git, distributed systems (Spark/Hadoop), and big data handling. Trivandrum Kerala India

Highly skilled Senior Machine Learning Engineer with expertise in Deep Learning, Large Language Models (LLMs), and MLOps/LLMOps to design, optimize, and deploy cutting-edge AI solutions. The ideal candidate will have hands-on experience in developing and scaling deep learning models, fine-tuning LLMs/ (e.g., GPT, Llama), and implementing robust deployment pipelines for production environments. Responsibilities Model Development & Fine-Tuning: - Design, train, fine-tune and optimize deep learning models (CNNs, RNNs, Transformers) for NLP, computer vision, or multimodal applications. - Fine-tune and adapt Large Language Models (LLMs) for domain-specific tasks (e.g., text generation, summarization, semantic similarity). - Experiment with RLHF (Reinforcement Learning from Human Feedback) and other alignment techniques. Deployment & Scalability (MLOps/LLMOps): - Build and maintain end-to-end ML pipelines for training, evaluation, and deployment. - Deploy LLMs and deep learning models in production environments using frameworks like FastAPI, vLLM, or TensorRT. - Optimize models for low-latency, high-throughput inference (eg., quantization, distillation, etc.). - Implement CI/CD workflows for ML systems using tools like MLflow, Kubeflow. Monitoring & Optimization: - Set up logging, monitoring, and alerting for model performance (drift, latency, accuracy). - Work with DevOps teams to ensure scalability, security, and cost-efficiency of deployed models. Required Skills & Qualifications: - 5-7 years of hands-on experience in Deep Learning, NLP, and LLMs. - Strong proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, and LLM frameworks. - Experience with model deployment tools (Docker, Kubernetes, FastAPI). - Knowledge of MLOps/LLMOps best practices (model versioning, A/B testing, canary deployments). - Familiarity with cloud platforms (AWS, GCP, Azure). Preferred Qualifications: - Contributions to open-source LLM projects.

Position: ETL Tester(Python+Fast API Experience: 4–8 years Location: (Gurugram / Bangalore ) Joining: Immediate / [Specify Notice Period] Budget-14 LPA Job Summary We are looking for a skilled ETL Tester to ensure the quality, integrity, and performance of our data integration processes. The role involves validating ETL jobs, verifying data accuracy between source and target systems, and ensuring adherence to business requirements. Key Responsibilities Analyze business and technical requirements to design comprehensive ETL test cases and scenarios. Validate ETL data flows, transformations, and load processes. Perform source-to-target data validation to ensure data accuracy, completeness, and consistency. Execute functional, integration, regression, and performance testing for ETL processes. Identify, document, and track defects; work closely with developers to ensure timely resolution. Create and maintain test plans, test cases, and test data for ETL processes. Validate job scheduling, monitoring, and error handling for ETL workflows. Collaborate with Business Analysts, Data Engineers, and DBAs to understand data requirements. Ensure compliance with data governance and quality standards. Required Skills & Qualifications Bachelor’s degree in Computer Science, Information Technology, or related field. 3+ years of experience in ETL/Data Warehouse testing. Strong experience with SQL for complex data validation queries. Hands-on experience with ETL tools (e.g., Informatica, Talend, SSIS, DataStage, Snowflake ETL ). Proficient in analyzing data models, mapping documents, and transformation logic. Experience with Unix/Linux commands for job execution and log analysis. Familiarity with data warehouse concepts (star schema, snowflake schema, fact/dimension tables). Strong analytical, problem-solving, and debugging skills. Excellent communication and documentation skills. Good to Have Knowledge of Cloud-based ETL/Data platforms (AWS Glue, Azure Data Factory, GCP Dataflow). Experience with automation testing tools for ETL validation (e.g., QuerySurge, Selenium with DB, Python scripts). Exposure to BI tools (Tableau, Power BI, Qlik) for data validation at the reporting layer. Understanding of Big Data technologies (Hive, Spark, Hadoop).

Entity: Technology Job Family Group: IT&S Group Job Description: Summary We’re looking for engineers who think holistically, automate relentlessly, and are fluent in the fast-moving world of AI tooling and infrastructure—but grounded in disciplined engineering principles. Our AI Acceleration organization is building high-impact AI-powered applications that deliver real business value at speed. As a Senior AI Engineer, you’ll play a critical role in building and deploying scalable AI-powered applications through solid software engineering excellence combined with pragmatic use of modern AI capabilities. This is a role for seasoned engineers who are excited about applying AI in practical and scalable ways. We’re looking for individuals who thrive at the intersection of disciplined software development and modern AI applications. You should be comfortable working across the full lifecycle of a product—from ideation and architecture to deployment and automation—while navigating ambiguity and driving toward execution. Strong systems thinking, ownership mindset, and the ability to ship value fast are essential. Job Responsibilities Design, develop, and maintain production-grade AI applications and services using modern software engineering practices (CI/CD, testing, observability, cloud-native design). Define and implement foundational platforms and tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable and scalable across the enterprise. Participate in cross functional team initiatives—embedded projects with business stakeholders—to rapidly build and deploy AI solutions that solve high-priority business problems. Evaluate and integrate existing AI tools, frameworks, and APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications. Champion automation in workflows—from data management ingestion and preprocessing to evaluation, to model integration and deployment. Collaborate with data scientists, product managers, and other engineers to ensure end-to-end delivery and reliability of AI products. Stay current with emerging AI technologies, but prioritize practical application and delivery over experimental research. Contribute to the internal knowledge base, tooling libraries, and documentation to scale AI engineering best practices across the organization. Job Qualifications Required: 5+ years of professional software engineering experience; ability to independently design and ship complex systems in production. Strong programming skills in Python (preferred), Java, or similar languages, with experience in developing microservices, APIs, and backend systems. Strong problem-solving skills and the ability to balance engineering rigor with delivery speed. Solid understanding of software architecture, cloud infrastructure (AWS, Azure, or GCP), and modern DevOps practices. Experience integrating machine learning models into production systems (e.g., LLMs via APIs, fine-tuning, RAG patterns, embeddings, agents and crew of agents etc.). Ability to move quickly while maintaining code quality, test coverage, and operational excellence. Preferred: Familiarity with AI/ML tools such as LangChain, Haystack, Hugging Face, Weaviate, or similar ecosystems. Hands-on experience with Retrieval Augmented Generation applications, AI agents and systems built around them. Experience using GenAI frameworks such as LlamaIndex, Crew AI, AutoGen, or similar agentic/LLM orchestration toolkits. Exposure to working with unstructured data (documents, conversations, images) and transforming it into usable structured formats. Experience building chatbots, search systems, or generative AI interfaces. Background in working within platform engineering or internal developer tools teams. Prior experience working in an embedded (forward-deployed) team model with business stakeholders. Experience building production grade, reliable AI applications If you're passionate about using AI to solve real-world problems and believe that great software engineering is the key to unlocking that value, we'd love to meet you. Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills: Agility core practices, Agility core practices, Analytics, API and platform design, Business Analysis, Cloud Platforms, Coaching, Communication, Configuration management and release, Continuous deployment and release, Data Structures and Algorithms (Inactive), Digital Project Management, Documentation and knowledge sharing, Facilitation, Information Security, iOS and Android development, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Relational Data Modelling, Risk Management, Scripting, Service operations and resiliency, Software Design and Development, Source control and code management {+ 4 more} Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.