5752 Airflow Jobs - Page 4

Overview TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet Job Title: Specialty Development Practitioner Location: Chennai Work Type: Hybrid Position Description At the client's Credit Company, we are modernizing our enterprise data warehouse in Google Cloud to enhance data, analytics, and AI/ML capabilities, improve customer experience, ensure regulatory compliance, and boost operational efficiencies. As a GCP Data Engineer, you will integrate data from various sources into novel data products. You will build upon existing analytical data, including merging historical data from legacy platforms with data ingested from new platforms. You will also analyze and manipulate large datasets, activating data assets to enable enterprise platforms and analytics within GCP. You will design and implement the transformation and modernization on GCP, creating scalable data pipelines that land data from source applications, integrate into subject areas, and build data marts and products for analytics solutions. You will also conduct deep-dive analysis of Current State Receivables and Originations data in our data warehouse, performing impact analysis related to the client's Credit North America's modernization and providing implementation solutions. Moreover, you will partner closely with our AI, data science, and product teams, developing creative solutions that build the future for the client's Credit. Experience with large-scale solutions and operationalizing data warehouses, data lakes, and analytics platforms on Google Cloud Platform or other cloud environments is a must. We are looking for candidates with a broad set of analytical and technology skills across these areas and who can demonstrate an ability to design the right solutions with the appropriate combination of GCP and 3rd party technologies for deployment on Google Cloud Platform. Skills Required Big Query,, Data Flow, DataForm, Data Fusion, Dataproc, Cloud Composer, AIRFLOW, Cloud SQL, Compute Engine, Google Cloud Platform - Biq Query Experience Required GCP Data Engineer Certified Successfully designed and implemented data warehouses and ETL processes for over five years, delivering high-quality data solutions. 5+ years of complex SQL development experience 2+ experience with programming languages such as Python, Java, or Apache Beam. Experienced cloud engineer with 3+ years of GCP expertise, specializing in managing cloud infrastructure and applications into production-scale solutions. Big Query,, Data Flow, DataForm, Data Fusion, Dataproc, Cloud Composer, AIRFLOW, Cloud SQL, Compute Engine, Google Cloud Platform Biq Query, Data Flow, Dataproc, Data Fusion, TERRAFORM, Tekton,Cloud SQL, AIRFLOW, POSTGRES, Airflow PySpark, Python, API, cloudbuild, App Engine, Apache Kafka, Pub/Sub, AI/ML, Kubernetes Experience Preferred In-depth understanding of GCP's underlying architecture and hands-on experience of crucial GCP services, especially those related to data processing (Batch/Real Time) leveraging Terraform, Big Query, Dataflow, Pub/Sub, Data form, astronomer, Data Fusion, DataProc, Pyspark, Cloud Composer/Air Flow, Cloud SQL, Compute Engine, Cloud Functions, Cloud Run, Cloud build and App Engine, alongside and storage including Cloud Storage DevOps tools such as Tekton, GitHub, Terraform, Docker. Expert in designing, optimizing, and troubleshooting complex data pipelines. Experience developing with microservice architecture from container orchestration framework. Experience in designing pipelines and architectures for data processing. Passion and self-motivation to develop/experiment/implement state-of-the-art data engineering methods/techniques. Self-directed, work independently with minimal supervision, and adapts to ambiguous environments. Evidence of a proactive problem-solving mindset and willingness to take the initiative. Strong prioritization, collaboration & coordination skills, and ability to simplify and communicate complex ideas with cross-functional teams and all levels of management. Proven ability to juggle multiple responsibilities and competing demands while maintaining a high level of productivity. Data engineering or development experience gained in a regulated financial environment. Experience in coaching and mentoring Data Engineers Project management tools like Atlassian JIRA Experience working in an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment. Experience with data security, governance, and compliance best practices in the cloud. Experience with AI solutions or platforms that support AI solutions Experience using data science concepts on production datasets to generate insights Experience Range 5+ years Education Required Bachelor's Degree TekWissen® Group is an equal opportunity employer supporting workforce diversity.

As a Full-Stack Engineer at Abnormal Security, you will play a crucial role in developing a comprehensive tool to understand our customers" employees, enabling security professionals to assess risks and threats effectively. You will collaborate with our world-class engineers to enhance our Knowledge Base team and work closely with both internal and external customers. This position requires a fine balance between speed and quality in your work. Your responsibilities will include owning and developing data-rich user interfaces and APIs that showcase Abnormal's knowledge about normal and abnormal user patterns. You will also create a user-friendly interface for customers and internal agents to debug specific attacks and establish a framework for adding new data sources efficiently. Constant collaboration with customers to gather feedback and enhance our systems will be a key aspect of your role. In this full-stack role, you can expect to work on tasks ranging from coding the UI for the Knowledge Base to refining the underlying data model. The ideal candidate will have at least 8 years of experience in full-stack web development with expertise in backend languages like Python/Django or Golang, along with frontend technologies such as JavaScript, HTML5, React, or similar frameworks. Additionally, you should have 2+ years of production support experience for enterprise-class customers and a year of system design experience. Experience in owning testing and development of software solutions, agile methodologies like scrum and kanban, and effective collaboration with cross-functional teams spread across different time zones is essential for this role. A Bachelor's degree in Computer Science or a related engineering field is required. Nice-to-have skills include experience with Airflow, Celery, AWS, Azure, Postgres, and API platform development. Join us in building a new layer of protection that ensures enterprises receive the same level of security for their cloud offerings as Abnormal Security's leading products provide in the email security space.,

As a seasoned data engineering professional with 10+ years of experience, you will lead and mentor a team of data engineers to ensure high performance and career growth. Your primary responsibility will be to architect and optimize scalable data infrastructure, guaranteeing high availability and reliability. Additionally, you will drive the development and implementation of data governance frameworks and best practices, collaborating closely with cross-functional teams to define and execute a data roadmap. Your expertise in backend development using languages like Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS will be crucial. Proficiency in SQL, Python, and Scala for data processing and analytics is a must. In-depth knowledge of cloud platforms such as AWS, GCP, or Azure is required, along with hands-on experience in big data technologies like Spark, Hadoop, Kafka, and distributed computing frameworks. You will be responsible for ensuring data security, compliance, and quality across all data platforms while optimizing data processing workflows for performance and cost efficiency. A strong foundation in High-Level Design (HLD) and Low-Level Design (LLD), as well as design patterns, preferably using Spring Boot or Google Guice, is necessary. Experience with data warehousing solutions like Snowflake, Redshift, or BigQuery will be beneficial. Your role will also involve working with NoSQL databases such as Redis, Cassandra, MongoDB, and TiDB, as well as familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK. Proven ability to drive technical strategy aligned with business objectives, strong leadership, communication, and stakeholder management skills are essential for this position. Candidates from Tier 1 colleges/universities with a background in product startups and experience in implementing Data Engineering systems from an early stage in the company are preferred. Additionally, experience in machine learning infrastructure or MLOps, exposure to real-time data processing and analytics, and interest in data structures, algorithm analysis and design, multicore programming, and scalable architecture will be advantageous. Prior experience in a SaaS or high-growth tech company will be a plus. If you are a highly skilled data engineer with a passion for innovation and technical excellence, we invite you to apply for this challenging and rewarding opportunity.,

The role of warehousing and logistics systems is becoming increasingly crucial in enhancing the competitiveness of various companies and contributing to the overall efficiency of the global economy. Modern intra-logistics solutions integrate cutting-edge mechatronics, sophisticated software, advanced robotics, computational perception, and AI algorithms to ensure high throughput and streamlined processing for critical commercial logistics functions. Our Warehouse Execution Software is designed to optimize intralogistics and warehouse automation by utilizing advanced optimization techniques. By synchronizing discrete logistics processes, we have created a real-time decision engine that maximizes labor and equipment efficiency. Our software empowers customers with operational agility essential for meeting the demands of an Omni-channel environment. We are seeking a dynamic individual who can develop state-of-the-art MLOps and DevOps frameworks for AI model deployment. The ideal candidate should possess expertise in cloud technologies, deployment architectures, and software production standards. Moreover, effective collaboration within interdisciplinary teams is key to successfully guiding products through the development cycle. **Core Job Responsibilities:** - Develop comprehensive pipelines covering the ML lifecycle from data ingestion to model evaluation. - Collaborate with AI scientists to expedite the operationalization of ML algorithms. - Establish CI/CD/CT pipelines for ML algorithms. - Implement model deployment both in cloud and on-premises edge environments. - Lead a team of DevOps/MLOps engineers. - Stay updated on new tools, technologies, and industry best practices. **Key Qualifications:** - Master's degree in Computer Science, Software Engineering, or a related field. - Proficiency in Cloud Platforms, particularly GCP, and relevant skills like Docker, Kubernetes, and edge computing. - Familiarity with task orchestration tools such as MLflow, Kubeflow, Airflow, Vertex AI, and Azure ML. - Strong programming skills, preferably in Python. - Robust DevOps expertise including Linux/Unix, testing, automation, Git, and build tools. - Knowledge of data engineering tools like Beam, Spark, Pandas, SQL, and GCP Dataflow is advantageous. - Minimum 5 years of experience in relevant fields, including academic exposure. - At least 3 years of experience in managing a DevOps/MLOps team.,

Data Engineer (AWS Devops) Who We Are: Headquartered in New York City, Take-Two Interactive Software, Inc. is a leading developer, publisher, and marketer of interactive entertainment for consumers around the globe. The Company develops and publishes products principally through Rockstar Games, 2K, Private Division, and Zynga. Our products are currently designed for console gaming systems, PC, and Mobile, including smartphones and tablets, and are delivered through physical retail, digital download, online platforms, and cloud streaming services. The Companys common stock is publicly traded on NASDAQ under the symbol TTWO. While our offices (physical and virtual) are casual and inviting, we are deeply committed to our core tenets of creativity, innovation and efficiency, and individual and team development opportunities. Our industry and business are continually evolving and fast-paced, providing numerous opportunities to learn and hone your skills. We work hard, but we also like to have fun, and believe that we provide a great place to come to work each day to pursue your passions. The Challenge Take-Two, a leader in the interactive entertainment industry, is looking for a seasoned DevOps Engineer to join a team building a cloud-based data and analytics platform and an integration data hub to address challenges of point-to-point integrations. The ideal candidate has technical depth and hands-on implementation experience of various practices and tools in the DevOps toolchain. He/she must have previous experience in a Cloud DevOps role. We are looking for an individual who is comfortable rolling up their sleeves to design and code modules for infrastructure, application, and processes. What Youll Take On Build Cloud Infrastructure components by leveraging Infrastructure as code. Collaborate with product/project development teams to drive automation of Configuration Management, Build, Release, Deployment and Monitoring processes. Provide professional support for the developed automations, respond to incidents to proactively prevent system outages, and ensure environments availability to meet SLAs. Contribute to innovation through automation to enable standard deployable units of infrastructure through multiple environments until production Participate in architectural discussions to ensure solutions are designed for successful deployment, security, cost effectiveness and high availability in the cloud. Ensure all infrastructure components meet proper performance and security standards. What You Bring 3+ years of hands-on experience building DevOps solution in a cloud environment, preferably AWS 2+ year experience in building CI/CD pipeline automation in tools (Jenkins preferred) with using scripting languages (Python, preferred) Hands on experience with AWS Services like VPC, EC2, S3, ELB, RDS, ECS/EKS, IAM, CloudFront, CloudWatch, SQS/SNS, Lambda is a must Experience working with Infrastructure as Code tooling is a must. Experience with Terraform is highly desirable. Strong Docker or Kubernetes skills highly desirable Knowledge of IP networking, VPN&aposs, DNS, load balancing and firewall is a must Experience working on Linux based infrastructure and Shell script is a must Experience with scheduling tool like Airflow is highly desirable Excellent written and verbal communication skills. What We Offer You: Great Company Culture. We pride ourselves as being one of the most creative and innovative places to work, creativity, innovation, efficiency, diversity and philanthropy are among the core tenets of our organization and are integral drivers of our continued success. Growth: As a global entertainment company, we pride ourselves on creating environments where employees are encouraged to be themselves, inquisitive, collaborative and to grow within and around the company. Work Hard, Enjoy Life. Our employees bond, blow-off steam, and flex some creative muscles through our Office gaming spaces, company parties, game release events, monthly socials, and team challenges. Benefits. Benefits include, but are not limited to; Discretionary bonus, Provident fund contributions, 1+5 medical insurance + top up options and access to Practo online Doctor consultation App, Employee assistance program, 3X CTC Life Assurance, 3X CTC Personal accident insurance, childcare services, 20 days holiday + statutory holidays, Perks. Gym reimbursement up to INR1150 per month, charitable giving program, access to learning platforms, gaming events. Please be aware that Take-Two does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Take-Two also does not engage in any financial exchanges during the recruitment or onboarding process, and the Company will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scam or phishing exercise. Take-Twos in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a take2games.com email domain). If you need to report an issue or otherwise have questions, please contact [HIDDEN TEXT].* As an equal opportunity employer, Take-Two Interactive Software, Inc. (Take-Two) is committed to fostering and celebrating the diverse thoughts, cultures, and backgrounds of its talent, partners, and communities throughout its organization. Consistent with this commitment, Take-Two does not discriminate or retaliate against any employee or job applicant because of their race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, and genetic information (including family medical history), or on the basis of any other trait protected by applicable law. If you need to report a concern or have questions regarding Take-Twos equal opportunity commitment, please contact [HIDDEN TEXT]. Show more Show less

Join Vonage and help us innovate cloud communications for businesses worldwide! Vonage BI & Data Team Mission We are a highly creative, energetic and results-oriented team that owns data and analytics delivery for the entire organization. This starts from data ingestion to corporate dashboards and includes data analytics to drive actions. The successful candidate is passionate about understanding customer needs, motivations, and behavior and enjoys discovering insights that help us deliver better outcomes like revenue growth, better customer experience, customer engagement and customer retention. Why This Role Matters As a Senior Data Analyst, you will be responsible for transforming complex datasets into actionable insights that drive business strategy and decision making. You will bridge the gap between the raw data and impactful business intelligence, playing a vital role in identifying trends, optimizing processes, and supporting key stakeholders across various departments. As a Senior Data Analyst, you will also be helping us on a journey towards a modern, self-serve analytics organization. You will get autonomy and ownership around large parts of how we interface with users, how theyre trained and around defining the boundary between let me show you how to do this yourself and let me do this for you. Over the last couple of years, weve made significant investments into our data infrastructure and our data processing platform. This has improved the internal team processes, however, there is still room for improvement on enabling self-serve and using advanced analytics techniques to predict what will happen rather than what happened. Your Key Responsibilities Collaborate with cross-functional teams (e.g., Finance, Product, Customer Experience, Marketing) to align data initiatives with business goals and challenges. Develop strategies and insights to drive customer revenue growth and enhance the overall customer experience. Utilize advanced analytics, including predictive modeling and data mining, to identify patterns, forecast trends, and support target achievement. Translate complex data analyses into clear, actionable reports and presentations for both technical and non-technical stakeholders. Lead and advocate for self-service analytics across the organization, including managing relationships with data power users. Coordinate and promote the internal Data Academy to empower teams to better understand and leverage available data and reporting tools. Contribute to data strategy and planning by assisting in budget alignment and ensuring BI and data engineering efforts meet stakeholder needs and priorities. Were specifically not looking for someone to churn out reports for other people all day long. Self-service analytics environment Were using a modern analytics stack with Tableau as the visualization front-end and Snowflake as the DWH, where the majority of report development is done by our users, we also use Python, SQL and Airflow Rather than a report mill, the BI & Data team is there to empower and help users get their data and analytics work done themselves Going forward, we are looking to transition to querying the data using natural language. Required What you will bring: Bachelor&aposs degree (preferably in Business, Economics, Statistics, or Computer Science) with 5+ years of experience in data analytics, ideally in a SaaS environment; advanced degrees (MBA or Master&aposs in Financial Analytics, Data Science, etc.) are a plus. Proven experience working independently and collaboratively with a wide range of stakeholders, including senior leadership. Expertise in analytical and statistical techniques, including forecasting, attribution modeling, simulation, and data optimization. Proficient in SQL, data warehousing, and data integration tools; familiarity with Python or R is a plus. Knowledge of machine learning, Generative AI (GenAI), and Agentic AI is a plus. Skilled in using BI tools such as Tableau to visualize and communicate data insights effectively. Strong communication, problem-solving, and critical thinking skills, with the ability to explain complex data to non-technical audiences and work well in cross-functional teams. Experience We Consider a Plus Have experience driving self-service analytics adoption in a scalable way. Worked in an agile environment and were able to bring structure where there was none before. How Youll Benefit In addition to providing exciting work, career advancement opportunities, and a collaborative work environment, Vonage provides competitive pay and benefits including unlimited discretionary time off. Theres no perfect candidate. You don&apost need all the preferred qualifications to make a valuable impact on our team. Our employees and customers come from diverse backgrounds, so if you&aposre passionate about what you could achieve at Vonage, we&aposd love to hear from you. Who We Are Vonage is a global cloud communications leader. And your talent will further help brands - such as Airbnb, Viber, WhatsApp, and Snapchat - accelerate their digital transformation through our fully programmable-based unified communications, contact center solutions, and communications APIs. Ready to innovate Then join us today. Note: The purpose of this profile is to provide a general summary of essential responsibilities for the position and is not meant as an exhaustive list. Assignments may differ for individuals within the same role based on business conditions, departmental need or geographic location. Show more Show less

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : Python (Programming Language), Apache Airflow Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-solving activities, participate in team meetings, and contribute to the overall success of projects by leveraging your expertise in application development. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge. - Continuously evaluate and improve application performance and user experience. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Good To Have Skills: Experience with Apache Airflow, Python (Programming Language). - Strong understanding of data integration and ETL processes. - Experience with cloud-based data solutions and architectures. - Familiarity with data governance and management best practices. Additional Information: - The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Kolkata office. - A 15 years full time education is required., 15 years full time education

Overview TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet Job Title: Specialty Development Senior Location: Chennai Work Type: Hybrid Position Description Bachelor's Degree 2+Years in GCP Services - Biq Query, Data Flow, Dataproc, DataPlex, DataFusion, Terraform, Tekton, Cloud SQL, Redis Memory, Airflow, Cloud Storage 2+ Years in Data Transfer Utilities 2+ Years in Git / any other version control tool 2+ Years in Confluent Kafka 1+ Years of Experience in API Development 2+ Years in Agile Framework 4+ years of strong experience in python, Pyspark development. 4+ years of shell scripting to develop the adhoc jobs for data importing/exporting Skills Required Python, dataflow, Dataproc, GCP Cloud Run, DataForm, Agile Software Development, Big Query, TERRAFORM, Data Fusion, Cloud SQL, GCP, KAFKA Skills Preferred Java Experience Required 8+ years Education Required Bachelor's Degree TekWissen® Group is an equal opportunity employer supporting workforce diversity.

Overview TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet Job Title: Software Engineer Senior Location: Chennai Work Type: Hybrid Position Description As part of the client's DP&E Platform Observability team, you'll help build a top-tier monitoring platform focused on latency, traffic, errors, and saturation. You'll design, develop, and maintain a scalable, reliable platform, improving MTTR/MTTX, creating dashboards, and optimizing costs. Experience with large systems, monitoring tools (Prometheus, Grafana, etc.), and cloud platforms (AWS, Azure, GCP) is ideal. The focus is a centralized observability source for data-driven decisions and faster incident response. Skills Required Spring Boot, Angular, Cloud Computing Skills Preferred Google Cloud Platform - Biq Query, Data Flow, Dataproc, Data Fusion, TERRAFORM, Tekton,Cloud SQL, AIRFLOW, POSTGRES, Airflow PySpark, Python, API Experience Required 5+ years of overall experience with proficiency in Java, angular or any javascript technology with experience in designing and deploying cloud-based data pipelines and microservices using GCP tools like BigQuery, Dataflow, and Dataproc. Ability to leverage best in-class data platform technologies (Apache Beam, Kafka,...) to deliver platform features, and design & orchestrate platform services to deliver data platform capabilities. Service-Oriented Architecture and Microservices: Strong understanding of SOA, microservices, and their application within a cloud data platform context. Develop robust, scalable services using Java Spring Boot, Python, Angular, and GCP technologies. Full-Stack Development: Knowledge of front-end and back-end technologies, enabling collaboration on data access and visualization layers (e.g., React, Node.js). Design and develop RESTful APIs for seamless integration across platform services. Implement robust unit and functional tests to maintain high standards of test coverage and quality. Database Management: Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases, as well as columnar databases like BigQuery. Data Governance and Security: Understanding of data governance frameworks and implementing RBAC, encryption, and data masking in cloud environments. CI/CD and Automation: Familiarity with CI/CD pipelines, Infrastructure as Code (IaC) tools like Terraform, and automation frameworks. Manage code changes with GitHub and troubleshoot and resolve application defects efficiently. Ensure adherence to SDLC best practices, independently managing feature design, coding, testing, and production releases. Problem-Solving: Strong analytical skills with the ability to troubleshoot complex data platform and microservices issues. Experience Preferred GCP Data Engineer, GCP Professional Cloud Education Required Bachelor's Degree TekWissen® Group is an equal opportunity employer supporting workforce diversity.

Overview TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet Job Title: Software Engineer Senior Location: Chennai Work Type: Hybrid Position Description As a Software Development Engineer working in the client's Credit IT, you will join a team that supports to develop Rest APIs / Microservices based digital products of Core platform engineering. You will work on a balanced product team to define, design, develop and deploy innovative software solutions. Additionally, you will conduct proof-of-concepts to support new features, ensure quality, timely delivery using Agile Extreme Programming practices. Write production quality code that delivers great customer experiences Work on a small agile team to deliver working, tested software Work effectively with product owners, product designers and other technical experts Review, comment and accept code base contributions Contribute to Service Level Objectives Skills Required Google Cloud Platform - Biq Query, Data Flow, Dataproc, Data Fusion, TERRAFORM, Tekton,Cloud SQL, AIRFLOW, POSTGRES, Airflow PySpark, Python, API Experience Required 7+ years software engineering experience in web, mobile, api or full-stack development Education Required Bachelor's Degree TekWissen® Group is an equal opportunity employer supporting workforce diversity.

A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. We are responsible for moving 20 % of global trade & is on a mission to become the Global Integrator of Container Logistics. To achieve this, we are transforming into an industrial digital giant by combining our assets across air, land, ocean, and ports with our growing portfolio of digital assets to connect and simplify our customer’s supply chain through global end-to-end solutions, all the while rethinking the way we engage with customers and partners. The Brief As a Senior AI/ML Engineer in our Data & AI Governance team, you’ll build the systems that improve how Maersk detects, manages, and fixes data quality issues at scale while contributing to responsible AI observability and compliance tooling. This is a hands-on engineering role focused on platform-level tooling for data reliability, model traceability, and metadata intelligence. You’ll work across structured and unstructured data, help enforce quality SLAs and contribute to components that support the governance of AI/ML models. The role sits at the intersection of platform engineering, data operations, and applied AI - ideal for someone who enjoys building reusable tools, mentoring others, and making complex systems more reliable and auditable. This is a key part of our long-term vision to treat data quality with the same urgency and rigor as platform reliability. The systems you build will help set a new standard for how we manage quality, fairness, and trust in enterprise data and AI. Senior AI/ML Engineer Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com. What I'll be doing – your accountabilities? Build and scale AI/ML-driven components to detect data anomalies, schema drift, and degradation in real-time across pipelines Develop validation logic, auto-profiling tools, and scoring engines to assess and monitor enterprise data quality Design architecture for AI/ ML-based DQ solutions that are modular, reusable, and scalable Apply AI/ML techniques including NLP, rule induction, and pattern classification to enrich metadata and detect systemic quality issues Build tooling to support responsible AI: drift tracking, fairness detection, explainability indicators, and lifecycle logging Partner with platform engineers to integrate these tools into orchestration systems (e.g., Airflow, MLflow, or Dagster) Work with data owners and stewards to operationalize quality ownership using MIDAS – Maersk’s enterprise AI platform for metadata inventory, data accountability, and governance Contribute to the creation of a DataOps playbook with SLAs, page-zero metrics, escalation routines, and ownership models Mentor junior engineers and shape architectural and engineering best practices for AI/ML observability and data quality tooling Foundational Skills Expert-level Python engineering experience with a proven ability to ship AI/ML-backed tooling at production scale Advanced knowledge of data pipelines and orchestration frameworks (e.g., Airflow, Spark, Dagster) Expert understanding of system observability - logging, telemetry, health scoring applied to data and model workflows Proven track record of applying advanced AI/ML techniques (e.g., classification, clustering, anomaly detection) in production settings Strong grounding in solution architecture for data-intensive, distributed systems Specialized Skills Deep experience applying AI/ML to data quality use cases such as profiling, anomaly detection, drift analysis, and schema inference Expertise in metadata management, lineage tracing, and automated documentation (e.g., via DataHub, Unity Catalog, or Collibra) Hands-on experience with responsible AI tooling (e.g., SHAP, LIME, Fairlearn, What-If Tool) for explainability and bias detection Built or contributed to platform-level components that are used across domains, not just in isolated project delivery Ability to design and implement architectural patterns that support federated ownership, reuse, and lifecycle transparency Eagerness to learn and contribute to AI governance frameworks (e.g., EU AI Act, ISO 42001, NIST AI RMF) and translate those into engineering patterns Qualifications & Requirements 8+ years of engineering experience, including at least 3 years building and deploying AI/ML solutions in production Demonstrated experience building DQ and model observability tools - not just core predictive systems Strong experience working in cross-functional platform teams that deliver shared services used across business units Fluent in MLOps tooling (e.g., MLflow, SageMaker, Vertex AI) and capable of versioning, tracking, and documenting model behavior Strong communication and documentation skills; able to make complex system behavior understandable and operable Passion for enabling trustworthy AI through high-quality engineering practices Preferred Experiences In addition to basic qualifications, would be great if you have… Experience implementing data quality scoring, monitoring, or root cause tooling in a production environment Experience working with shared metadata systems and operationalizing lineage or traceability at scale Strong involvement in platform teams or developer enablement functions - not just analytics or research delivery Applied experience with model explainability, fairness evaluation, or lifecycle documentation tooling Understanding of enterprise AI risk and how to translate policy into engineering design constraints

Job Description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Consultant Specialist In this role, you will: Software design, Scala & Spark development, automated testing of new and existing components in an Agile, DevOps and dynamic environment Promoting development standards, code reviews, mentoring, knowledge sharing Production support & troubleshooting. Implement the tools and processes, handling performance, scale, availability, accuracy and monitoring Liaison with BAs to ensure that requirements are correctly interpreted and implemented. Participation in regular planning and status meetings. Input to the development process – through the involvement in Sprint reviews and retrospectives. Input into system architecture and design. Peer code reviews Requirements To be successful in this role, you should meet the following requirements: Scala development and design using Scala 2.10+ or Java development and design using Java 1.8+. Experience with most of the following technologies (Apache Hadoop, Scala, Apache Spark, Spark streaming, YARN, Kafka, Hive, Python, ETL frameworks, Map Reduce, SQL, RESTful services) Sound knowledge on working Unix/Linux Platform Hands-on experience building data pipelines using Hadoop components - Hive, Spark, Spark SQL. Experience with industry standard version control tools (Git, GitHub), automated deployment tools (Ansible & Jenkins) and requirement management in JIRA. Understanding of big data modelling techniques using relational and non-relational techniques Experience on Debugging the Code issues and then publishing the highlighted differences to the development team/Architects; Experience with time-series/analytics dB’s such as Elastic search. Experience with scheduling tools such as Airflow, Control-M. Understanding or experience of Cloud design patterns Exposure to DevOps & Agile Project methodology such as Scrum and Kanban. Experience with developing Hive QL, UDF’s for analysing semi structured/structured datasets Location : Pune and Bangalore You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSDI

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name ML Developer Taleo ID Position Level Staff Employment Type Permanent Number of Openings 1 Work Location Kochi, Chennai , Noida , Bangalore , Pune , Kolkata , TVM Position Details As part of EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements (including Experience, Skills And Additional Qualifications) A bachelor’s degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience. Technical Skills Requirements Develop and implement machine learning models, including regression, classification (e.g., XGBoost, Random Forest), and clustering techniques. Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets. Apply dimension reduction techniques to improve model performance and interpretability. Utilize statistical models to design and implement effective business solutions. Evaluate and validate models to ensure robustness and reliability. Should have solid background in Python Familiarity with Time Series Forecasting. Basic experience with cloud platforms such as AWS, Azure, or GCP. Exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker) is a plus Additional skill requirements: Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name ML Developer Taleo ID Position Level Staff Employment Type Permanent Number of Openings 1 Work Location Kochi, Chennai , Noida , Bangalore , Pune , Kolkata , TVM Position Details As part of EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements (including Experience, Skills And Additional Qualifications) A bachelor’s degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience. Technical Skills Requirements Develop and implement machine learning models, including regression, classification (e.g., XGBoost, Random Forest), and clustering techniques. Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets. Apply dimension reduction techniques to improve model performance and interpretability. Utilize statistical models to design and implement effective business solutions. Evaluate and validate models to ensure robustness and reliability. Should have solid background in Python Familiarity with Time Series Forecasting. Basic experience with cloud platforms such as AWS, Azure, or GCP. Exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker) is a plus Additional skill requirements: Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name ML Developer Taleo ID Position Level Staff Employment Type Permanent Number of Openings 1 Work Location Kochi, Chennai , Noida , Bangalore , Pune , Kolkata , TVM Position Details As part of EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements (including Experience, Skills And Additional Qualifications) A bachelor’s degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience. Technical Skills Requirements Develop and implement machine learning models, including regression, classification (e.g., XGBoost, Random Forest), and clustering techniques. Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets. Apply dimension reduction techniques to improve model performance and interpretability. Utilize statistical models to design and implement effective business solutions. Evaluate and validate models to ensure robustness and reliability. Should have solid background in Python Familiarity with Time Series Forecasting. Basic experience with cloud platforms such as AWS, Azure, or GCP. Exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker) is a plus Additional skill requirements: Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name ML Developer Taleo ID Position Level Staff Employment Type Permanent Number of Openings 1 Work Location Kochi, Chennai , Noida , Bangalore , Pune , Kolkata , TVM Position Details As part of EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements (including Experience, Skills And Additional Qualifications) A bachelor’s degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience. Technical Skills Requirements Develop and implement machine learning models, including regression, classification (e.g., XGBoost, Random Forest), and clustering techniques. Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets. Apply dimension reduction techniques to improve model performance and interpretability. Utilize statistical models to design and implement effective business solutions. Evaluate and validate models to ensure robustness and reliability. Should have solid background in Python Familiarity with Time Series Forecasting. Basic experience with cloud platforms such as AWS, Azure, or GCP. Exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker) is a plus Additional skill requirements: Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients, and communities. Working at WPP means being part of a global network of more than 100,000 talented people dedicated to doing extraordinary work for our clients. We operate in over 100 countries, with corporate headquarters in New York, London and Singapore. WPP is a world leader in marketing services, with deep AI, data and technology capabilities, global presence and unrivalled creative talent. Our clients include many of the biggest companies and advertisers in the world, including approximately 300 of the Fortune Global 500. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. Why we're hiring: At WPP, technology is at the heart of everything we do, and it is WPP IT’s mission to enable everyone to collaborate, create and thrive. WPP IT is undergoing a significant transformation to modernise ways of working, shift to cloud and micro-service-based architectures, drive automation, digitise colleague and client experiences and deliver insight from WPP’s petabytes of data. WPP Media is the world’s leading media investment company responsible for more than $63B in annual media investment through agencies Mindshare, MediaCom, Wavemaker, Essence and m/SIX, as well as the outcomes-driven programmatic audience company, Xaxis and data and technology company Choreograph. WPP Media’s portfolio includes Data & Technology, Investment and Services, all united in a vision to shape the next era of media where advertising works better for people. By leveraging all the benefits of scale, the company innovates, differentiates and generates sustained value for our clients wherever they do business.The WPP Media IT team in WPP IT are the technology solutions partner for the WPP Media group of agencies and are accountable for co-ordinating and assuring end-to-end change delivery, managing the WPP Media IT technology life cycle and innovation pipeline. We are looking for a hands-on, technically strong Data Operations Lead to head our newly established Data Integration & Operations team in Chennai. This is a build-and-run role: you’ll help define how the team operates while leading day-to-day delivery. The team is part of the global Data & Measure function and is responsible for ensuring that our data products run efficiently, reliably, and consistently across platforms and markets. You will own the operational layer of our data products — including data ingestion, monitoring, deployment pipelines, automation, and support. This role requires deep technical knowledge of Azure and/or GCP, alongside the ability to lead and scale a growing team. What you'll be doing: Technical Ownership & Execution Lead a team responsible for data integration, ingestion, orchestration, and platform operations Build and maintain automated data pipelines using Azure Data Factory, GCP Dataflow/Composer, or equivalent tools Define and implement platform-wide monitoring, logging, and alerting Manage cloud environments, including access control, security, and deployment automation Operational Standardisation Create and roll out standard operating procedures, runbooks, onboarding guides, and automation patterns Ensure repeatable, scalable practices across all supported data products Define reusable deployment frameworks and templates for integration Platform Support & Performance Set up and manage SLAs, incident workflows, and escalation models Proactively identify and resolve operational risks in cloud-based data platforms Partner with development and product teams to ensure seamless transition from build to run Team Leadership Lead and mentor a new, growing team in Chennai Shape the team’s operating model, priorities, and capabilities Act as a subject matter expert and escalation point for technical operations What you'll need: Required Skills 7+ years in data operations, platform engineering, or data engineering Deep, hands-on experience in Azure and/or GCP environments Strong understanding of cloud-native data pipelines, architecture, and security Skilled in orchestration (e.g. ADF, Dataflow, Airflow), scripting (Python, Bash), and SQL Familiarity with DevOps practices, CI/CD, and infrastructure-as-code Proven experience managing production data platforms and support Ability to design operational frameworks from the ground up Demonstrated experience leading technical teams, including task prioritization, mentoring, and delivery oversight Preferred Skills Experience with tools like dbt, Azure Synapse, BigQuery, Databricks, etc. Exposure to BI environments (e.g. Power BI, Looker) Familiarity with global support models and tiered ticket handling Experience with documentation, enablement, and internal tooling Who you are: You're open : We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working. You're optimistic : We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected. You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day. What we'll give you: Passionate, inspired people – We aim to create a culture in which people can do extraordinary work. Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry. Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge? We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. Please read our Privacy Notice (https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment) for more information on how we process the information you provide.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name ML Developer Taleo ID Position Level Staff Employment Type Permanent Number of Openings 1 Work Location Kochi, Chennai , Noida , Bangalore , Pune , Kolkata , TVM Position Details As part of EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements (including Experience, Skills And Additional Qualifications) A bachelor’s degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience. Technical Skills Requirements Develop and implement machine learning models, including regression, classification (e.g., XGBoost, Random Forest), and clustering techniques. Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets. Apply dimension reduction techniques to improve model performance and interpretability. Utilize statistical models to design and implement effective business solutions. Evaluate and validate models to ensure robustness and reliability. Should have solid background in Python Familiarity with Time Series Forecasting. Basic experience with cloud platforms such as AWS, Azure, or GCP. Exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker) is a plus Additional skill requirements: Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At Citi we’re not just building technology, we’re building the future of banking. Encompassing a broad range of specialties, roles, and cultures, our teams are creating innovations used across the globe. Citi is constantly growing and progressing through our technology, with laser focused on evolving the ways of doing things. As one of the world’s most global banks we’re changing how the world does business Shape your Career with Citi We’re currently looking for a high caliber professional to join our team as 25883567 Officer- ETL Automation tester -QA - C10 -Hybrid- PUNE based in Pune/Chennai, India. Being part of our team means that we’ll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future. For instance: We provide programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more. Coverage varies by country. We empower our employees to manage their financial well-being and help them plan for the future. We provide access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses. The Testing Analyst is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team. Candidate is expected to Build Data Pipelines: Extract data from various sources (like databases and data lakes), clean and transform it, and load it into target systems Testing and Validation: Develop automated tests to ensure the data pipelines are working correctly and the data is accurate. This is like quality control, making sure everything meets the bank's standards Work with Hive, HDFS, and Oracle data sources to extract, transform, and load large-scale datasets Leverage AWS services such as S3, Lambda, and Airflow for data ingestion, event-driven processing, and orchestration Create reusable frameworks, libraries, and templates to accelerate automation and testing of ETL jobs Participate in code reviews, CI/CD pipelines , and maintain best practices in Spark and cloud-native development Ensures tooling can be run in CICD providing real-time on demand test execution shortening the feedback loop to fully support Handsfree execution Regression , Integration, Sanity testing, Regression automated suites, reports issues – provide solutions and ensures timely completion Own and drive automation in Data and Analytics Team to achieve 90% automation in Data, ETL space. Design and develop integrated portal to consolidate utilities and cater to user needs. Supports initiatives related to automation on Data & Analytics testing requirements for process and product rollout into production. Specialists who can work with technology team to design and implement appropriate automation scripts/plans for an application testing, meeting required KPI and automation effectiveness. Ensures new utilities are documented and transitioned to testers for execution and supports for troubleshooting in case required. Monitors and reviews code check-ins from peers and helps maintain project repository. Ability to work independently as well as collaborate within groups on various projects assigned. Ability to work in a fast-paced, dynamic environment and manage multiple priorities effectively. Experience and understanding of Wealth domain specifically in private bank(banking) , lending services and related Tech applications.Supports and contributes to automated test data generation and sufficiency. Successful candidate ideally would have following skills and exposure: 2 - 4 years of experience on automation testing across UI Experience in Automation ETL Testing , testing by using SQL queries. Hands on experience on Selenium BDD Cucumber using Java, Python Extensive knowledge on developing and maintaining automation frameworks, AI/ ML related solutions. Experience on automating BI reports e.g., Tableau dashboards and views validation. Data analytics and BI reports in the Financial Service industry Hands on experience in Python for developing utilities for Data Analysis using Pandas, NumPy etc. Exposure and some experience on AI related solutions, ML which can help automate faster. Experience with mobile testing using perfecto, API Testing-SoapUI, Postman/Rest Assured will be added advantage. Detailed knowledge data flows in relational database and Bigdata systems Strong knowledge of Oracle SQL and HiveQL and understanding of ETL/Data Testing. Experience with CI/CD tools like Jenkins. Proficiency in working on Cloudera Hadoop ecosystem (HDFS, Hive, YARN) Hands-on experience with ETL automation and validation framework. Solid understanding of AWS services like S3, Lambda, EKS, Airflow, and Strong problem-solving and debugging skills Excellent communication and collaboration abilities to lead and mentor a large techno-functional team across different geographical locations Strong Acumen and presentation skills. Able to work in an Agile environment and deliver results independently Education: Bachelor’s/University degree or equivalent experience ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Technology Quality ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name ML Developer Taleo ID Position Level Staff Employment Type Permanent Number of Openings 1 Work Location Kochi, Chennai , Noida , Bangalore , Pune , Kolkata , TVM Position Details As part of EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements (including Experience, Skills And Additional Qualifications) A bachelor’s degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience. Technical Skills Requirements Develop and implement machine learning models, including regression, classification (e.g., XGBoost, Random Forest), and clustering techniques. Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets. Apply dimension reduction techniques to improve model performance and interpretability. Utilize statistical models to design and implement effective business solutions. Evaluate and validate models to ensure robustness and reliability. Should have solid background in Python Familiarity with Time Series Forecasting. Basic experience with cloud platforms such as AWS, Azure, or GCP. Exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker) is a plus Additional skill requirements: Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name ML Developer Taleo ID Position Level Staff Employment Type Permanent Number of Openings 1 Work Location Kochi, Chennai , Noida , Bangalore , Pune , Kolkata , TVM Position Details As part of EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements (including Experience, Skills And Additional Qualifications) A bachelor’s degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience. Technical Skills Requirements Develop and implement machine learning models, including regression, classification (e.g., XGBoost, Random Forest), and clustering techniques. Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets. Apply dimension reduction techniques to improve model performance and interpretability. Utilize statistical models to design and implement effective business solutions. Evaluate and validate models to ensure robustness and reliability. Should have solid background in Python Familiarity with Time Series Forecasting. Basic experience with cloud platforms such as AWS, Azure, or GCP. Exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker) is a plus Additional skill requirements: Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name ML Developer Taleo ID Position Level Staff Employment Type Permanent Number of Openings 1 Work Location Kochi, Chennai , Noida , Bangalore , Pune , Kolkata , TVM Position Details As part of EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements (including Experience, Skills And Additional Qualifications) A bachelor’s degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience. Technical Skills Requirements Develop and implement machine learning models, including regression, classification (e.g., XGBoost, Random Forest), and clustering techniques. Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets. Apply dimension reduction techniques to improve model performance and interpretability. Utilize statistical models to design and implement effective business solutions. Evaluate and validate models to ensure robustness and reliability. Should have solid background in Python Familiarity with Time Series Forecasting. Basic experience with cloud platforms such as AWS, Azure, or GCP. Exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker) is a plus Additional skill requirements: Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name ML Developer Taleo ID Position Level Staff Employment Type Permanent Number of Openings 1 Work Location Kochi, Chennai , Noida , Bangalore , Pune , Kolkata , TVM Position Details As part of EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements (including Experience, Skills And Additional Qualifications) A bachelor’s degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience. Technical Skills Requirements Develop and implement machine learning models, including regression, classification (e.g., XGBoost, Random Forest), and clustering techniques. Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets. Apply dimension reduction techniques to improve model performance and interpretability. Utilize statistical models to design and implement effective business solutions. Evaluate and validate models to ensure robustness and reliability. Should have solid background in Python Familiarity with Time Series Forecasting. Basic experience with cloud platforms such as AWS, Azure, or GCP. Exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker) is a plus Additional skill requirements: Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job Description: AIML Automation Intern (Unpaid, 3 Months, PPO Opportunity) Location: Remote Employment Type: Internship (Unpaid, Full-Time/Part-Time as applicable) Duration: 3 Months Pre-Placement Offer (PPO): Potential, based on performance About The Role We are seeking a highly motivated AIML Automation Intern who is passionate about building and automating intelligent systems using Artificial Intelligence and Machine Learning. In this role, you’ll work on live projects that deliver real business value, gain hands-on experience in AI/ML automation, and learn from domain experts in a high-paced, growth-focused team. All projects during your internship are live business initiatives—not simulations or capstones—giving you the opportunity to see your automation solutions deployed and making a real impact. An exceptional performance may lead to a Pre-Placement Offer (PPO) for a full-time position. What You’ll Do Build and deploy automation solutions leveraging AI/ML libraries and frameworks Collaborate with mentors, data scientists, and engineers to design, develop, and optimize automation pipelines Automate routine business workflows such as data extraction, pre-processing, and monitoring tasks Participate in end-to-end ML lifecycle: data collection, model training, validation, deployment, and monitoring Contribute to continuous improvement of accuracy and efficiency for existing automation initiatives Present your solutions, document your process, and gather feedback for iteration Stay up-to-date with the latest AI/ML and automation trends and best practices What You’ll Get Live Projects: Work exclusively on real-world automation problems with real deployment and impact Mentorship: Access to experienced AI/ML practitioners for guidance and skill-building Growth: Be challenged in a fast-paced setting that pushes you to innovate and learn daily Portfolio: Ship automation modules and models that you can showcase to future employers Opportunity: Best performers may receive a Pre-Placement Offer (PPO) for a full-time role Culture: Join a driven team that values learning, collaboration, and making a difference Who You Are Genuinely interested in Artificial Intelligence, Machine Learning, and automation Comfortable with programming in Python and familiar with ML libraries such as scikit-learn, TensorFlow, or PyTorch Understanding of basic automation and workflow orchestration tools (such as Airflow, Selenium, or any RPA tools) is a plus Eager to take initiative, learn rapidly, and work both independently and as part of a team Strong analytical and problem-solving skills Effective communicator who is open to feedback and mentorship Portfolio, GitHub, or sample code/projects (personal, academic, or open-source) is highly preferred This is an unpaid internship for 3 months, with the potential for a PPO for standout performers. All your contributions will be to live automation projects—an unbeatable way to kickstart your AI/ML career! Note: This is a unpaid internship.Skills: automation,rpa tools,ml,python,airflow,pytorch,selenium,tensorflow,data extraction,artificial intelligence,scikit-learn,workflow orchestration,machine learning

OpenShift Platform Leadership & Operations Own the lifecycle of OpenShift clusters (on-prem and public cloud) including architecture design, provisioning, upgrades, patching, and high availability. Administer and support OpenShift Container Platform and other Kubernetes-based environments (EKS, AKS, GKE). Serve as the primary escalation point for complex incidents, ensuring root cause resolution and continuous improvement. Oversee cluster-wide networking, storage integration, ingress/egress configurations, and secure exposure of workloads. Drive incident response with precision-leading war rooms, coordinating stakeholders, and conducting post-mortem reviews. Assist in change management for container platform lifecycle events including OpenShift version upgrades, SysAdmin tasks, hotfix deployments, and feature enhancements. Contribute to Airtel's Enterprise Container Strategy by identifying opportunities for performance optimization, availability improvements, and resiliency enhancements Architecture , Configuration & Automation Architect GitOps-driven CI/CD workflows using Argo CD, Tekton Pipelines, AirFlow, Helm, and S2I. Lead implementation and optimization of monitoring and alerting systems using Prometheus, Grafana, Alert manager, and ELK stack. Automate operational processes using Python, Bash, and Ansible to reduce toil and improve system resilience. Enforce configuration consistency using Infrastructure-as-Code tools (Terraform, Ansible). Security , Compliance & Governance Define and enforce security policies including RBAC, Network Policies, Pod Security Policies, and image scanning tools. Lead security assessments, vulnerability remediation efforts, and policy enforcement aligned with compliance mandates. Collaborate with InfoSec teams to implement audit logging, incident response controls, and container hardening measures. Networking , Storage & System Integration Lead advanced OpenShift networking operations: ingress controller tuning, multi-tenant isolation, MetalLB, hybrid DNS, service meshes (Istio), and egress control. Integrate persistent storage (Ceph, SAN/NAS, Object Storage) using CSI drivers, dynamic provisioning, and performance tuning. #ADL