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Role - Lead Engineer Job Location – Hyderabad Full time/Part Time - Full Time Build a career with confidence Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do. Job Summary Established professional in Data and Analytic Methods who works to achieve day-to-day objectives with moderate impact on work area. Participates in scientific and mathematical principles to collect data across processes and products. Supports in identifying problems, participates in analyzing opportunities through the use of statistical techniques. Prepares datasets and may communicate results to team. About The Role Job Description Lead the design, development, and deployment of machine learning models and algorithms. Manage and mentor a team of data scientists and engineers, fostering a collaborative and innovative environment. Collaborate with cross-functional teams to identify business problems and translate them into machine learning solutions. Oversee the data collection, preprocessing, and feature engineering processes. Conduct experiments and iterate on models to improve performance and accuracy. Stay current with the latest research and advancements in AI and machine learning technologies. Develop and implement best practices for code quality, testing, and deployment. Communicate findings and recommendations to stakeholders and technical teams effectively. Specific Responsibilities For This Position Will Be Collect data from IoT platform, perform data quality check and filtering techniques Organize large-scale data to the required formats for data analysis for different service business use cases. Data mining using state-of-the-art methods Selecting features, building and optimizing classifiers using machine learning techniques Enhancing data collection procedures to include information that is relevant for building analytic systems Develop tools of visualization and dashboard to illustrate the data analysis results. Support the development and implementation of end-to-end cloud-based AI/ML and Data Analytics solutions. Deploy analytics algorithms to the cloud-based IoT platform (e.g., Microsoft Azure, AWS etc.). Take ownership and responsibility of deliverables (might involve little bit of coding as well) Required Skills/Education Good knowledge of Data science life cycle Hands on experience in developing analytics approaches and solutions Expertise in Python, AI/ML libraries, ML, DL and problem solving Working experience on MLOps on cloud platforms like AWS/Azure. Knowledge of GenAI, LLM project implementation. Master’s degree in computer science, Statistics, Math, or Engineering with 10+ years of experience Ph.D in Thermal, AI/ML/Data Analytics, Statistics, Math, or Engineering is a plus. Benefits We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary. Have peace of mind and body with our health insurance Make yourself a priority with flexible schedules and leave Policy Drive forward your career through professional development opportunities Achieve your personal goals with our Employee Assistance Program. Our commitment to you Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way. Join us and make a difference. Apply Now! Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Job Applicant's Privacy Notice Click on this link to read the Job Applicant's Privacy Notice

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence. Senior Data Analyst (Alteryx Expert) Job Title: Senior Data Analyst (Alteryx Expert) Experience 5+ Years Location: Indore/Pune Overview Job Description: As a Senior Data Analyst with strong expertise in Alteryx, you will play a pivotal role in our data analytics team, driving insights and strategic decision-making through advanced data manipulation, analysis, and visualization. You will utilize your deep understanding of Alteryx capabilities to streamline data workflows, automate processes, and extract actionable insights from complex datasets. The ideal candidate will possess a blend of technical proficiency, analytical acumen, and strong communication skills to collaborate effectively across departments and drive business outcomes. Responsibilities Develop and maintain Alteryx workflows to cleanse, blend, and transform raw data from multiple sources into actionable insights. Implement advanced data manipulation techniques to handle complex data structures, outliers, and missing values. Design and implement automated processes using Alteryx to improve efficiency and scalability of data workflows. Identify opportunities for process optimization and automation to streamline data processing and analysis. Create compelling visualizations and interactive dashboards using Alteryx and other BI tools (e.g., Tableau, Power BI) to communicate insights and trends effectively. Work closely with stakeholders to understand reporting requirements and deliver actionable insights that drive informed decision-making. Collaborate with cross-functional teams including business stakeholders, data engineers, and IT professionals to understand business requirements and deliver solutions. Qualifications Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or related field. Proven 5+ years experience as a Data Analyst with a focus on data manipulation, analysis, and visualization. Strong proficiency in Alteryx Designer with demonstrated experience in building complex workflows and solving business problems. Proficiency in SQL for data manipulation and querying. Experience with data visualization tools such as Tableau, Power BI, or similar. Solid understanding of statistical analysis, predictive modeling, and machine learning techniques. Excellent analytical and problem-solving skills with a keen attention to detail. Strong communication and interpersonal skills with the ability to effectively convey complex technical concepts to non-technical stakeholders. Proven ability to work in a fast-paced environment, manage multiple priorities, and deliver results under tight deadlines. Experience working in a collaborative team environment with a customer-centric approach. Preferred Qualifications Alteryx Core Certification or Advanced Certification. Experience working in industries such as manufacturing , finance, healthcare, retail, or. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark). Knowledge of scripting languages such as Python or R for data analysis and modeling. Experience with data governance, security, and compliance standards.

We are seeking a highly analytical and forward-thinking Senior Data Analyst with 4+ years of experience in data analytics and AI automation. The ideal candidate will play a key role in driving data-driven decisions and optimizing business operations through intelligent automation. You will work closely with cross-functional teams to translate business needs into scalable analytical solutions and AI-powered tools. Key Responsibilities Design, develop, and maintain dashboards, reports, and data visualizations to support strategic initiatives. Conduct advanced statistical analysis, forecasting, and predictive modeling to extract actionable insights. Automate data pipelines, reporting processes, and business workflows using AI and machine learning tools. Collaborate with stakeholders to identify key metrics, KPIs, and data requirements for business growth. Leverage AI/ML models to solve business challenges and streamline manual operations. Develop and maintain documentation for data models, analytics processes, and automation logic. Ensure data quality, consistency, and governance across all analytics initiatives. Mentor junior analysts and contribute to the data team's best practices. Qualifications & Skills Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Economics, or a related field. 4+ years of experience in data analytics, business intelligence, and AI-based automation. Proficiency in SQL, Python (Pandas, NumPy, Scikit-learn), and data visualization tools (e.g., Power BI, Tableau). Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, Azure ML, or AutoML platforms). Strong knowledge of ETL processes, data modeling, and database management. Demonstrated ability to automate workflows using AI tools such as RPA (e.g., UiPath, Power Automate) or custom solutions. Excellent problem-solving skills and ability to communicate complex ideas clearly to non-technical stakeholders. Experience working in Agile or cross-functional teams is a plus. Preferred Skills Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native analytics tools. Knowledge of Natural Language Processing (NLP) or Computer Vision applications. Background in business strategy or domain-specific analytics (e.g., finance, marketing, operations). Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹60,000.00 per month Benefits: Paid sick time Paid time off Schedule: Monday to Friday Night shift US shift Ability to commute/relocate: Panchkula, Haryana: Reliably commute or planning to relocate before starting work (Required) Experience: Data Analytics: 4 years (Required) Location: Panchkula, Haryana (Required) Shift availability: Night Shift (Required) Overnight Shift (Required) Work Location: In person

Location : Airoli , Navi Mumbai Work from Office Office Time : 11am to 8pm Skillset Requirements: Experience: 5–10 years in data science Programming: Minimum 5 years in Python Machine Learning/NLP: At least 4 years LLM & GenAI: Minimum 1.5 years with large language models and generative AI Database Management: At least 2 years with any database Cloud Deployment: 1+ years deploying ML models/Python apps on Azure or AWS LLMOps: Familiarity is a plus Role and Responsibilities: Leadership: Lead development, deployment, and optimization of ML, NLP, and LLM/GenAI solutions Pipeline Development: Develop and maintain Python-based ML pipelines; manage associated databases Model Deployment: Deploy AI models on Azure/AWS, ensuring performance and scalability Mentorship: Stay updated on ML, NLP, and GenAI advancements; mentor team members Best Practices: Implement LLMOps best practices for efficient model lifecycle management

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence. Senior Data Analyst (Alteryx Expert) Job Title: Senior Data Analyst (Alteryx Expert) Experience 5+ Years Location: Indore/Pune Overview Job Description: As a Senior Data Analyst with strong expertise in Alteryx, you will play a pivotal role in our data analytics team, driving insights and strategic decision-making through advanced data manipulation, analysis, and visualization. You will utilize your deep understanding of Alteryx capabilities to streamline data workflows, automate processes, and extract actionable insights from complex datasets. The ideal candidate will possess a blend of technical proficiency, analytical acumen, and strong communication skills to collaborate effectively across departments and drive business outcomes. Responsibilities Develop and maintain Alteryx workflows to cleanse, blend, and transform raw data from multiple sources into actionable insights. Implement advanced data manipulation techniques to handle complex data structures, outliers, and missing values. Design and implement automated processes using Alteryx to improve efficiency and scalability of data workflows. Identify opportunities for process optimization and automation to streamline data processing and analysis. Create compelling visualizations and interactive dashboards using Alteryx and other BI tools (e.g., Tableau, Power BI) to communicate insights and trends effectively. Work closely with stakeholders to understand reporting requirements and deliver actionable insights that drive informed decision-making. Collaborate with cross-functional teams including business stakeholders, data engineers, and IT professionals to understand business requirements and deliver solutions. Qualifications Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or related field. Proven 5+ years experience as a Data Analyst with a focus on data manipulation, analysis, and visualization. Strong proficiency in Alteryx Designer with demonstrated experience in building complex workflows and solving business problems. Proficiency in SQL for data manipulation and querying. Experience with data visualization tools such as Tableau, Power BI, or similar. Solid understanding of statistical analysis, predictive modeling, and machine learning techniques. Excellent analytical and problem-solving skills with a keen attention to detail. Strong communication and interpersonal skills with the ability to effectively convey complex technical concepts to non-technical stakeholders. Proven ability to work in a fast-paced environment, manage multiple priorities, and deliver results under tight deadlines. Experience working in a collaborative team environment with a customer-centric approach. Preferred Qualifications Alteryx Core Certification or Advanced Certification. Experience working in industries such as manufacturing , finance, healthcare, retail, or. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark). Knowledge of scripting languages such as Python or R for data analysis and modeling. Experience with data governance, security, and compliance standards.

Job Title: Lead Consultant - Data Engineering Career Level - E Introduction to role Join our Operations IT team, a global IT capability supporting the Global Operations organization. We partner with various Operations capability areas such as Pharmaceutical Technology Development, Manufacturing & Global Engineering, Quality Control, Sustainability, Supply Chain, Logistics & Global External Sourcing & Procurement. Our work directly impacts patients by redefining our ability to develop life-changing medicines. We are passionate about impacting lives through data, analytics, AI, machine learning, and more. As part of the Data Analytics and AI (DA&AI) organization within Operations IT, you will deliver brand-new Data Analytics and AI solutions for various Operations capability areas. Our work transforms our ability to develop life-changing medicines, empowering the business to perform at its peak. We combine powerful science with leading digital technology platforms and data. As the Technical Lead, you will drive the successful technical delivery of products/projects aligned with business goals. You will use deep technical expertise, lead and coordinate across all technical workstreams (Data & Cloud Engineering, Software Engineering, AI, and other relevant tech stacks), and work closely with relevant team members both internally and externally. Accountabilities Work closely with product managers, architects, and delivery managers to provide technical knowledge and support the team. Own the technical vision of the product and collaborate with multi-functional teams to define designs that meet product objectives and success criteria. Compile and maintain detailed technical designs, refine user Epics/user stories, and ensure adherence to timelines and resource allocations. Identify technical risks and ensure visibility and progress toward mitigating these risks. Lead, direct, and mentor technical teams while fostering a culture of collaboration, innovation, and accountability. Define and communicate governance frameworks specific to product development. Deliver components of the Service Acceptance Criteria as part of the Service Introduction deliverables. Ensure alignment to regulatory requirements, data security, and industry standards throughout the development lifecycle. Lead DevOps and DataOps teams to ensure delivery to coding standard processes, security, and performance requirements. Ensure data pipelines and solutions carry out to the FAIR principles to enhance data usability and sharing. Essential Skills/Experience Minimum 10+ years of experience in developing and delivering software engineering and data engineering solutions Deep technical expertise in Data Engineering, Software Engineering, Cloud Engineering, and good understanding in AI Engineering Strong understanding of DevOps and DataOps ways of working Proven expertise in product development and/or product management Offer technical thought leadership for Data and Analytics and AI products Effective communication, partner management, problem-solving skills, and team collaboration Hands-on experience working in end-to-end product development with an innovation mindset Knowledge of Data Mesh and Data Product concepts Experienced in Agile WoW Collaborative approach to engineering Data Engineering & ETL: Design, implement, and optimize data pipelines using industry-leading ETL tools Cloud & DevOps: Architect and handle scalable, secure cloud environments using AWS Compute Services Scheduling & Orchestration: Lead the orchestration of sophisticated workflows with Apache Airflow DataOps & Automation: Champion the adoption of DataOps principles using tools like DataOps.Live Data Storage & Management: Oversee the design and management of data storage systems including Snowflake Business Intelligence & Reporting: Own the development of actionable insights using Power BI Full-Stack Software Development: Build and maintain end-to-end software applications using NodeJS for backend development AI & Generative AI Services: Implement and handle AI/ML models using Amazon SageMaker Proficient in multiple coding languages such as Python Knowledge of database technologies both SQL and NoSQL Familiarity with agile methodologies Previous involvement in a large multinational company or pharmaceutical environment Strong leadership and mentoring skills Desirable Skills/Experience Bachelor's or master's degree in a relevant field such as Health Sciences, Life Sciences, Data Management, Information Technology or equivalent experience. Experience working in the pharmaceuticals industry Certification in AWS Cloud or any data engineering or software engineering-related certification When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and daring world. At AstraZeneca, we are committed to making a difference beyond patients by pioneering our sustainability strategy. You will have the opportunity to be a key contributor to Zero Carbon by 2025 and carbon negative across the entire value chain by 2030. Everyone can chip in towards our collective legacy of doing good for people, the environment, and society. Ready to make a significant impact? Apply now! Date Posted 26-Jun-2025 Closing Date AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Job Title: Lead Consultant - Technical Lead - Data, Analytics & AI Career Level: E Introduction to role: Are you ready to redefine an industry and change lives? Join our Operations IT organization, where your work will have a direct impact on patients by redefining our ability to develop life-changing medicines. We empower the business to perform at its peak, combining innovative science with leading digital technology platforms and data. As part of the Data Analytics and AI (DA&AI) group, you'll deliver innovative solutions that drive the transformation of medicine development. As the Technical Lead, you'll oversee the technical delivery of products and projects aligned with business objectives, tapping into your expertise in Data and Cloud Engineering, Software Engineering, AI, and more. Collaborate with stakeholders to ensure seamless delivery and maximum business impact! Accountabilities Bridge business needs with technical solutions by leading IT application design and implementation. Collaborate with stakeholders to define and deliver requirements, translating them into detailed specifications. Own the technical vision of products and compile detailed technical designs, refining user Epics/stories. Optimize performance, mitigate risks, and ensure alignment to timelines and resource allocations. Advise on industry trends and standard methodologies to enhance performance and business outcomes. Provide technical direction and guidance to IT teams and business units. Contribute to Data & Software Engineering standards and best practices. Research new technologies to boost system performance and scalability. Lead and mentor technical teams (Data Engineering, Cloud Engineering, Software Engineering) and work with AI/GenAI leads to foster collaboration and innovation. Ensure platform stability, scalability, and simplicity while adhering to regulatory requirements and data security standards. Foster continuous improvement and innovation. Supervise technical leadership throughout the software development lifecycle and provide hands-on support in development, technical delivery, review, and testing while collaborating with global teams. Apply central Enterprise Data Platforms and guide DevOps, DataOps, and MLOps teams to ensure standard methodologies. Ensure data solutions align with FAIR principles and support end-to-end data science and machine learning. Essential Skills/Experience Minimum 10 years of experience in the design, development, and delivery of software and data engineering solutions. Extensive technical expertise in Data Engineering, Software Engineering, and Cloud Engineering. Strong foundational knowledge of AI Engineering principles and practices. Deep understanding of DevOps, MLOps, and DataOps methodologies with practical implementation experience. Demonstrated success in product development and/or product management, delivering complex solutions end-to-end. Demonstrable ability to provide technical thought leadership across Data, Analytics, and AI domains. Exceptional communication, customer management, and multi-functional collaboration skills. Robust analytical and problem-solving abilities with a collaborative, team-oriented approach. Hands-on experience driving innovation throughout the full product development lifecycle. Solid understanding of Data Mesh and Data Product concepts and architectures. Proficiency in Agile methodologies and facilitating iterative, multi-functional team delivery. Hands-on experience designing, implementing, and optimizing data pipelines using leading ETL tools. Skilled in architecting, deploying, and managing scalable, secure AWS cloud environments. Proficient in workflow orchestration tools such as Apache Airflow. Practical experience implementing DataOps practices with tools like DataOps.Live. Strong expertise in data storage and analytics platforms such as Snowflake. Ability to deliver actionable insights through business intelligence tools, including Power BI. Extensive full-stack development experience, including backend proficiency with Node.js and Python and frontend expertise with ReactJS or NextJS. Experience designing and deploying Generative AI solutions. Hands-on implementation of AI/ML models using platforms such as Amazon SageMaker. Advanced programming skills, especially in Python. Solid knowledge of both SQL and NoSQL database technologies. Familiarity with agile ways of working and iterative development environments. Experience working in large, multinational organizations or pharmaceutical environments is highly desirable. Demonstrated leadership and mentoring skills, with a demonstrable ability to develop high-performing technical teams. Desirable Skills/Experience Bachelor's or master's degree in health sciences, Life Sciences, Data Management, IT, or a related field. Experience in the pharmaceutical industry or a similar multinational environment. AWS Cloud or relevant data/software engineering certifications. Awareness of use case specific GenAI tools available in the market and their application in day-to-day work scenarios. Possess working knowledge of basic prompting techniques and continuously improve these skills. Stay up to date with developments in AI and GenAI, applying new insights to work-related situations. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, we are at a crucial stage of our journey to become a digital and data-led enterprise. Our commitment to innovation empowers us to make the impossible possible by building partnerships and ecosystems that drive scale and speed for exponential growth. With investment backing us all the way, we are focused on disrupting the industry while making a meaningful impact through our work. Here you'll find countless opportunities to learn, grow, and contribute to developing life-changing medicines. Ready to make a difference? Apply now to join our team! Date Posted 27-Jun-2025 Closing Date 09-Jul-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Job Title: Lead Engineer - Data & AI Career Level: E Introduction To Role Are you ready to redefine an industry and change lives? AstraZeneca is seeking a seasoned AI and Data Engineering manager to join our Data Analytics and AI (DA&AI) organization. In this pivotal role, you'll be instrumental in shaping and delivering next-generation data platforms, data mesh, and AI capabilities that drive our digital transformation. Your expertise will be crucial in building data infrastructure that supports enterprise-scale data platforms and AI Analytics deployment, fueling intelligent operations across the business. Accountabilities Technical & AI Leadership Lead and mentor a multi-functional team of data and AI engineers to deliver scalable, AI-ready data products and pipelines. Define and enforce standard processes for Data engineering, data pipeline orchestration, and ELT/ETL development lifecycle management. Guide the development of solutions that integrate data engineering with machine learning, foundational models, and semantic enrichment. AI-Driven Data Engineering Architect and develop data pipelines using tools such as DBT, Apache Airflow, and Snowflake, optimized to support both analytics and AI/ML workloads. Design infrastructures that facilitate automated feature engineering, metadata tracking, and real-time model inference. Enable large-scale data ingestion, preparation, and transformation to support AI use cases such as forecasting, natural language querying/processing (NLQ/P), and intelligent automation. Governance and Metadata Management Have an approach to adhere to data governance and compliance practices that ensure trust, transparency, and explainability in AI outputs. Manage and scale enterprise metadata frameworks using tools like Collibra, aligning with FAIR data principles and AI ethics guidelines. Establish traceability across data lineage, model lineage, and business outcomes. Stakeholder Engagement Act as a trusted technical advisor to business leaders across enabling functions (e.g., Finance, M&A, GBS), helping translate strategic goals into AI-driven data solutions. Lead delivery across multiple workstreams, ensuring measurable KPIs and adoption of both data and AI capabilities. Essential Skills/Experience 12+ years of hands-on experience in data engineering and AI-enabling infrastructure, with expertise in: DBT, Apache Airflow, Snowflake, PostgreSQL, Amazon Redshift 2+ years working with or supporting AI/ML teams in building production-ready pipelines and infrastructure. Strong communication skills with a demonstrated ability to influence both technical and non-technical collaborators. Experience in implementing data products by applying data mesh principles. Experience working across enabling business units such as Finance, HR, and M&A. Academic Qualifications Bachelor’s or Master’s degree in computer science, Information Technology, or related field with relevant industrial experiences. Desirable Skills/Experience Proficiency in Python, especially in libraries like Pandas, NumPy, and Scikit-learn for data and ML workflows. Exposure to ML lifecycle tools such as SageMaker, MLflow, Azure ML, or Databricks. Exposure to foundational AI models (e.g., LLMs), vector databases, and retrieval-augmented generation (RAG) methodologies. Knowledge of data cataloguing tools such as Collibra, semantic data models, ontologies, and business glossary tools. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, your work has a direct impact on patients by transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining innovative science with leading digital technology platforms. With a passion for impacting lives through data, analytics, AI, machine learning, and more, we are at a crucial stage of our journey to become a digital and data-led enterprise. Here you can innovate, take ownership, experiment with groundbreaking technology, and tackle challenges that have never been addressed before. Our dynamic environment offers countless opportunities to learn and grow while contributing to something far bigger. Ready to make a meaningful impact? Apply now to join our team! Date Posted 27-Jun-2025 Closing Date 03-Jul-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

When you join Verizon You want more out of a career. A place to share your ideas freely even if theyre daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What Youll Be Doing As a Engineer 3 - Specialist (AI Science) you will own and perform specific analytics tasks and lead and drive end to end solutions for AI/ML use cases with guidance from lead/manager. Building and deploying Statistical/Machine Learning/Deep Learning based models according to business requirements Contributing to model design including algorithm selection, feature requirements, model and use case validation Analyzing structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques, and storytelling. Performing tasks related to Operationalization - eg. wrapper script, REST service, Trigger, Monitoring etc. Preparing all the supporting documents and reports. Guiding other members in the team on technical aspects as needed. What were looking for: You have strong analytical and coding skills, and are eager to work in a collaborative environment with global teams to drive ML application in business problems, develop end to end analytical solutions, and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and multi-functional teams to implement data science driven business solutions. You'll Need To Have Bachelor's degree or four or more years of work experience. Advanced Deep Learning Skill expertise. Experience in multi-modal modeling, including experience with frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in machine learning, deep learning, and statistical modeling techniques. Solid programming skills in Python or other relevant languages. Experience with natural language processing, computer vision, or audio processing is highly desirable. Familiarity with cognitive AI techniques, such as reasoning, knowledge graphs, or symbolic reasoning, is a plus. Proven track record of designing and implementing successful multi-modal models and algorithms, demonstrated through publications, projects, or industry experience. Even better if you have one or more of the following: Advanced degree in Computer Science, Data Science, Machine Learning, or a related field. Experience working on cloud platforms like GCP. Experience in building AI models for telecom businesses. Strong problem-solving skills and ability to work on complex, open-ended research problems. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Self-motivated, proactive, and able to manage multiple tasks and priorities in a fast-paced environment. Where youll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Locations Chennai, India

Job Description We are seeking a Senior Software Engineer to lead and guide our engineering team in building and enhancing our internal AI Gateway platform. This platform empowers internal organizations to create and deploy AI use cases, integrating with Azure OpenAI, AWS Bedrock, Databricks, and other cloud platforms. You will drive architecture, design, and implementation of scalable data/model management pipelines, agentic AI, RAGs, tracing, and MCP server components. Essential to have hands on Development experience in Python JavaScript, TypeScript, Node JS Essential to have hands on experience in building scalable GenAI applications leveraging LLMs e.g. GPT, Claude, Anthropic using various techniques e.g. RAG, Agentic AI etc. Preferred experience in Developing GenAI Solutions using frameworks e.g. Langchain, LlamaIndex. Preferred experience in building AI pipelines for interaction via Chatbots, User Interface, Autonomous Agents. Must have excellent communication skills to understand complex AI concepts & work with architects to build the solution as well as the ability to explain it to Nontechnical Stakeholders. Preferred experience of deploying solutions on AWS with best, practices. Good to have built capabilities in GenAI backed by evaluation (any existing framework for evaluation or custom built for the specific use case).Contributions to AI research, opensource models or AI hackathons are a plus. Responsib0ilities: Lead the design and development of the AI Gateway platform and its integrations (Azure OpenAI, AWS Bedrock, Databricks, etc.). Architect and implement scalable, secure, and maintainable data/model management pipelines. Guide the team in building agentic AI, RAG (Retrieval-Augmented Generation), tracing, and MCP server solutions. Mentor and upskill team members, conduct code reviews, and enforce best practices. Collaborate with product, DevOps, and data science teams to deliver robust solutions. Drive automation and CI/CD for model and data pipeline deployments. Ensure platform reliability, observability, and security. Requirements: 7+ years of software engineering experience, with at least 2 years in a technical leadership role. Strong Python (FastAPI, asyncio), cloud (Azure, AWS), and data engineering skills. Experience with LLMs, agentic AI, RAGs, and orchestration frameworks. Hands-on with cloud ML services (Azure OpenAI, AWS Bedrock, Databricks). Familiarity with CI/CD, Docker, Kubernetes, and infrastructure-as-code.

When you join Verizon You want more out of a career. A place to share your ideas freely even if theyre daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What Youll Be Doing... Were looking for you to bring the latest and greatest features to our customers - and to help us tell the marketplace about whats new and why they need to have it. This role combines deep technical knowledge of AI accelerator technologies with strategic product management to deliver solutions that enable faster, more efficient AI deployment. Collaborating with others, youll build the roadmap and drive the process from ideation through design and roll-out and build compelling value messages along the way. Your focus will be on AI products, features, and services that solve customer challenges and help make peoples lives better. This role requires a clear understanding of AI with a strong B2B acumen, committed to driving key business outcomes through data. Understanding and anticipating market needs. Define and communicate the product vision and strategy for AI features in our products, ensuring alignment with the companys overall goals and objectives. Stay informed about the latest AI trends and identify potential applications for the business. Defining requirements and leading the team through design and development. Building the business case, getting internal consensus, and defining product roadmaps. Forging strong relationships across the organization to get it all done. Tracking success metrics and communicating results to management. What were looking for Understanding what customers will want next is your driver. You are creative but balance that with your practical business side. You can juggle several projects with tight deadlines and not drop any balls while also keeping your eye on the big picture. An environment with lots of competing priorities and new challenges every day is where you thrive. With a knack for working with different types of people, you inspire others to do their best work and carry out your vision. You'll Need To Have Bachelors degree or relevant work experience. Seven to ten years of relevant work experience. Good understanding of AI concepts, ML model architectures, and computational requirements. E-commerce experience. Excellent analytical, problem-solving, and decision-making skills specifically regarding large but undefined problem space. Experience using data to drive product decisions and measure success. Experience in improving customer experience. Experience in enterprise digital analytics, with a strong preference for B2B industry experience. Demonstrated ability to work independently as a self-starter and lead cross-functional teams. Strong communication skills with the aptitude to convey complex data concepts in business terms. Even better if you have one or more of the following: Extensive experience with data modeling, statistical analysis, and predictive analytics. A strategic thinker with a proven record of leveraging analytics for business growth and transformation. Knowledge of design thinking. Digital experience, digital marketing, and digital product management either in a business, agency or consulting organization. Managed complex projects with shifting priorities, demands, and stakeholders. Ideally, with cross-functional teams and agencies. Passion for innovation and a commitment to driving business value through technology. If Verizon and this role sound like a fit for you, we encourage you to apply even if you dont meet every even better qualification listed above. #VBGDXP Where youll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Locations Chennai, India Hyderabad, India

When you join Verizon You want more out of a career. A place to share your ideas freely even if theyre daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What Youll Be Doing... Were looking for you to bring the latest and greatest features to our customersand to help us tell the marketplace about whats new and why they need to have it. This role combines deep technical knowledge of AI accelerator technologies with strategic product management to deliver solutions that enable faster, more efficient AI deployment. Collaborating with others, youll build the roadmap and drive the process from ideation through design and roll-outand build compelling value messages along the way. Your focus will be on AI products, features, and services that solve customer challenges and help make peoples lives better. This role requires a clear understanding of AI with a strong B2B acumen, committed to driving key business outcomes through data. Understanding and anticipating market needs. Define and communicate the product vision and strategy for AI features in our products, ensuring alignment with the companys overall goals and objectives. Stay informed about the latest AI trends and identify potential applications for the business. Defining requirements and leading the team through design and development. Building the business case, getting internal consensus, and defining product roadmaps. Forging strong relationships across the organization to get it all done. Tracking success metrics and communicating results to management. What were looking for... Understanding what customers will want next is your driver. You are creative but balance that with your practical business side. You can juggle several projects with tight deadlines and not drop any ballswhile also keeping your eye on the big picture. An environment with lots of competing priorities and new challenges every day is where you thrive. With a knack for working with different types of people, you inspire others to do their best work and carry out your vision. You Will Need To Have Bachelors degree or four or more years of work experience. Four or more years of relevant work experience. Experience in product management. E-commerce or online experience. Experience in improving customer experience. Understanding of AI concepts, ML models. Even better if you have one or more of the following: A degree or Master's degree. Data analytics and quantitative skills in user event data. Experience with product management and agile development including writing product backlog, epics, user stories, and grooming to support completion of initiatives. Knowledge of design thinking. Digital experience, digital marketing, and digital product management either in a business, agency, or consulting organization. Experience/exposure in AI or machine learning is desirable. If Verizon and this role sound like a fit for you, we encourage you to apply even if you dont meet every even better qualification listed above. #vbgdxp Where youll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability, or any other legally protected characteristics. Locations Chennai, India Hyderabad, India

Job Description At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Job Description Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. Boeing India Engineering and Technology Centre is currently looking for Associate Manufacturing Engineer to join their Manufacturing Engineering team in Chennai, India, you will be part of a global team working on providing ME solutions to a wide range of Boeing products and services across the world. These positions will focus on supporting the Boeing Commercial Airplanes (BCA) business organization. A successful candidate will Lead the preparation of build plan, create assembly work instructions and drive process standardization for different Airplane commodities, Structures, Systems and Interiors as these positions will focus on working directly with the Manufacturing Engineering Manager to provide Manufacturing Engineering solutions to a wide range of Boeing products and services across the world. Position Responsibilities: Author and Approve build plan/work instructions for installing components, systems, interiors and other structural assemblies for Aircraft Structural assemblies, Systems and Payloads. Create/Modify/Approve Installation plans, fabrication plans, and installation plan audits, CAPP/MES and Author work instructions Experience and knowledge of manufacturing, methods, fabrication processes (e.g., forming, stamping, machining, heat treatment, machines/machine tools, cutting tools and fluids, instrumentation, data acquisition and control systems) Assists in developing efficient process sequence by analyzing and validating processes, standards and specifications related to aircraft systems. Implement the process audits for the prevailing Installation/fabrication plans and ensure they meet the defined standards. Identifies production inefficiencies and suggests potential improvements to product or process. Implementation of standard work instructions for assembly operations. Continuously review the existing assembly process and drive process improvements. Assist in implementation of safety procedures, Foreign Object Debris (FOD) prevention and nonconformances issues. Participates in the implementation of manufacturing plans. Investigates technical problems. Participates in the implementation of Lean principles and technologies. Ensure compliance to company quality management system requirements. Exercises critical thinking and innovative problem solving. Basic Qualifications (Required Skills/Experience): Bachelor's degree/Mater’s degree in Engineering (Aeronautical/Production/Manufacturing, etc.) is required. 4+ years of experience involved with production / manufacturing engineering planning role. 2+ years of experience related to manufacturing of aircraft Interiors/Systems/ Structures/Payloads. Experience with Aerospace Manufacturing, Fabrication, Assembly Processes and Technologies. Experience with creation of manufacturing planning and authoring assembly work instructions. General Drawing Interpretation & GD&T knowledge. Knowledge of Aerospace Materials and Processes. Aware of manufacturing execution systems like CAPP/MES, PDM. Working knowledge with CATIA/NX Modelling software’s. Preferred Qualifications (Desired Skills/Experience): Bachelor's degree in Engineering (Aeronautical/Production/Manufacturing, etc.). Typical Education & Experience: Degree and typical experience in engineering classification: Bachelor's degree with 5+ Yrs or Master’s with 4+ yrs of experience in Mechanical/Aerospace Engineering, Production Engineering. Relocation: This position offers relocation. Applications for this position will be accepted until Jul. 02, 2025 Export Control Requirements: This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

About The Role Uber AI Solutions is one of Uber's biggest bets with the ambition to build one of the world's largest data foundries for AI applications and evolve into a platform of choice for a variety of online tasks. The Moonshot AI team focuses on optimizing the Uber AI Solutions gig marketplace through intelligent supply and demand matching. We also accelerate human-in-the-loop data annotation with automation and develop robust automated evaluation systems. We are in the early stages, with significant opportunities to build new ML models for the gig marketplace. This includes integrating advanced ML models to enable ML-assisted annotations for various use cases, such as Gen AI Labeling, Image/Audio/Video Classification, and Image/Video Segmentation, building LLM-as-Judge for automated quality evaluation, training ranking models to recommend gigs to earners, etc.. In this role, you will collaborate closely with product managers, program managers, and cross-functional teams to deliver real world impact. You'll help grow Uber AI Solutions into a leader in the space. ---- What the Candidate Will Do ---- Identify and choose the right problems that will benefit from ML expertise. Design and develop a suite of ML models that will help solve the above problems. Collaborate with backend and frontend engineers to integrate your solutions into our products & platforms. Explore novel ideas and innovative solutions that can lead to a step change in our products Work with cross-functional counterparts like the ML Ops team to understand their needs and improve the models accordingly. Write clean, modular, and maintainable code. Conduct code reviews and ensure high code quality standards. Keep up to date with the latest ML technologies and best practices. Basic Qualifications Ph.D., MS, or Bachelors degree in Computer Science or a closely related discipline. Proficiency in Computer Vision (CV), Natural Language Processing (NLP), or Deep Learning, with a solid grasp of the latest advancements in Generative AI. Exceptional coding skills, demonstrated by the ability to write clean, elegant, and bug-free code in languages such as Java or Go. Strong desire for continuous learning and professional growth, coupled with a commitment to developing best-in-class systems. Excellent problem-solving and analytical abilities. Proven ability to collaborate effectively as a team player. Preferred Qualifications 5+ years of industry experience in ML/AI. Proven track record of training large models on distributed infrastructure. Demonstrated ability to rapidly prototype, signaling curiosity and an experimental approach. Experience collaborating effectively across an organization, not limited to just within teams.

About the role Job Title: Data Science Manager - AI Governance; Innovation About the Tesco Data Science Team At Tesco; our Data Science team focuses on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores; online; supply chain; marketing and Clubcard; where we encourage rotation amongst our Data Scientists so they can gain expertise in different subjects. We work on several domains and problem types: online; pricing; security; fulfilment; distribution; property; IoT and computer vision are just some. Our team members spend 10% of their week on learning and personal development. Multiple academic collaborations enrich the team expertise; knowledge sharing events are regular. Furthermore; we have got a great work-life balance; team days and relaxed but engaging culture. You will be As a Data Science Manager; you will help shape and expand a highly skilled team of Data Scientists focused on delivering a better understanding of the business and optimising processes based on all available data. You will be responsible for You will have the following responsibilities: Owning the innovation process across all business and technical domains and leading the relevant development of data science algorithmic features Develop; implement and manage AI governance frameworks to ensure ethical and responsible AI practices; while monitoring compliance with relevant regulations and standards Setting up the team/projects for success by making sure that the projects they are responsible for are resourced appropriately and by unblocking difficult situations Leading framing and scoping of Data Science problems across multiple projects Line managing data scientists Support; guide and mentor the team in their daily work Help to define the strategic direction the overall team should take; trading off between contradicting priorities Conduct risk assessments; collaborate with legal and technical teams to address governance issues; and educate employees on AI policies and procedures. Partnering with Engineering to the design complex software systems and influencing the wider team architecture Promote data science across Tesco; and promote Tesco across the external Data Science community Skills relevant for the Job Mathematical & Statistical Understanding: A strong numerical higher degree in a mathematical; scientific; engineering or computer science discipline with application to Data Science The ability to use your academic knowledge and commercial experience to tackle specific business problems An analytical mind set and the ability to use your academic knowledge to tackle specific business problems A high-level expertise in Python Strong background in Machine Learning Experience with Software Engineering best practises (SDLC) Experience in designing reliable and scalable ML systems Experience in open source big-data technologies and cloud Experience of setting up and managing open source Data Science environments AI Governance related Skills Knowledge of machine learning; data science; and AI ethics. Strong understanding of AI technology and ethical considerations Knowledge of legal and regulatory frameworks related to AI and data protection Experience in data governance and management Familiarity with risk management and compliance frameworks Ability to communicate complex technical concepts to non-technical stakeholders Management & Leadership Experience: Proven track record of driving successful innovation projects. You have previously managed colleagues Experience in hiring and building out high performing Data Science teams You have experience in setting a strategic direction and running complex data science projects with multiple stakeholders You can influence senior stakeholders and have a passion for implementing change Experience in developing and managing partnerships with academic institutions A background or strong understanding of the retail sector; logistics and/or ecommerce would be advantageous but is not required. Experience relevant for the job Experience of leading highly technical Data Science developments involving multiple stakeholders in AI governance Experience in collaborating with legal; compliance; and technical teams to address AI governance issues. Experience of coaching / mentoring others in technical approaches Experience if leading and managing AI innovation projects from conception to implementation. Experience of partnering with technology teams to productionize developments and roll out at scale You will need Refer you will be responsible section Whats in it for you? At Tesco, we are committed to providing the best for you. As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day. Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits. Total Rewards offered at Tesco is determined by four principles - simple, fair, competitive, and sustainable. Salary - Your fixed pay is the guaranteed pay as per your contract of employment. Leave & Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company's policy. Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF. Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws. Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents. Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request. Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan. Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle. About Us Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers. Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues Tesco Technology Today, our Technology team consists of over 5,000 experts spread across the UK, Poland, Hungary, the Czech Republic, and India. In India, our Technology division includes teams dedicated to Engineering, Product, Programme, Service Desk and Operations, Systems Engineering, Security & Capability, Data Science, and other roles. At Tesco, our retail platform comprises a wide array of capabilities, value propositions, and products, essential for crafting exceptional retail experiences for our customers and colleagues across all channels and markets. This platform encompasses all aspects of our operations – from identifying and authenticating customers, managing products, pricing, promoting, enabling customers to discover products, facilitating payment, and ensuring delivery. By developing a comprehensive Retail Platform, we ensure that as customer touchpoints and devices evolve, we can consistently deliver seamless experiences. This adaptability allows us to respond flexibly without the need to overhaul our technology, thanks to the creation of capabilities we have built.

When you join Verizon You want more out of a career. A place to share your ideas freely even if theyre daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What Youll Be Doing As an Engineer 3 - Consultant (AI Science) you will own and perform specific analytics tasks and lead and drive end to end solutions for AI/ML use cases with guidance from manager. Building and deploying Statistical/Machine Learning models according to business requirements Prior expertise in building and deploying Deep learning models Contributing to model design including algorithm selection, feature requirements, model and use case validation Analyzing structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques and storytelling. Preparing all the supporting documents and reports. Guiding other members in the team on technical aspects as needed. Gathering requirements from business and develop model solution for the same What were looking for: You have strong analytical and coding skills, and are eager to work in a collaborative environment with global teams to drive ML application in business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and multi-functional teams to implement data science driven business solutions. You'll Need To Have Bachelor's degree or four or more years of work experience. Four or more years of relevant work experience. Experience in multi-modal modeling, including experience with frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in machine learning, deep learning, and statistical modeling techniques. Solid programming skills in Python or other relevant languages. Experience with natural language processing, computer vision, or audio processing is highly desirable. Familiarity with cognitive AI techniques, such as reasoning, knowledge graphs, or symbolic reasoning. Proven track record of designing and implementing successful multi-modal models and algorithms, demonstrated through publications, projects, or industry experience. Even better if you have one or more of the following: Advanced degree in Computer Science, Data Science, Machine Learning, or a related field. Experience working on cloud platforms like GCP Experience in building AI models for telecom businesses Strong problem-solving skills and ability to work on complex, open-ended research problems. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Self-motivated, proactive, and able to manage multiple tasks and priorities in a fast-paced environment. Where youll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Locations - Hyderabad, India

Role - Lead Engineer Job Location – Hyderabad Full time/Part Time - Full Time Build a career with confidence Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do. Job Summary Established professional in Data and Analytic Methods who works to achieve day-to-day objectives with moderate impact on work area. Participates in scientific and mathematical principles to collect data across processes and products. Supports in identifying problems, participates in analyzing opportunities through the use of statistical techniques. Prepares datasets and may communicate results to team. About The Role Job Description Lead the design, development, and deployment of machine learning models and algorithms. Manage and mentor a team of data scientists and engineers, fostering a collaborative and innovative environment. Collaborate with cross-functional teams to identify business problems and translate them into machine learning solutions. Oversee the data collection, preprocessing, and feature engineering processes. Conduct experiments and iterate on models to improve performance and accuracy. Stay current with the latest research and advancements in AI and machine learning technologies. Develop and implement best practices for code quality, testing, and deployment. Communicate findings and recommendations to stakeholders and technical teams effectively. Specific Responsibilities For This Position Will Be Collect data from IoT platform, perform data quality check and filtering techniques Organize large-scale data to the required formats for data analysis for different service business use cases. Data mining using state-of-the-art methods Selecting features, building and optimizing classifiers using machine learning techniques Enhancing data collection procedures to include information that is relevant for building analytic systems Develop tools of visualization and dashboard to illustrate the data analysis results. Support the development and implementation of end-to-end cloud-based AI/ML and Data Analytics solutions. Deploy analytics algorithms to the cloud-based IoT platform (e.g., Microsoft Azure, AWS etc.). Take ownership and responsibility of deliverables (might involve little bit of coding as well) Required Skills/Education Good knowledge of Data science life cycle Hands on experience in developing analytics approaches and solutions Expertise in Python, AI/ML libraries, ML, DL and problem solving Working experience on MLOps on cloud platforms like AWS/Azure. Knowledge of GenAI, LLM project implementation. Master’s degree in computer science, Statistics, Math, or Engineering with 10+ years of experience Ph.D in Thermal, AI/ML/Data Analytics, Statistics, Math, or Engineering is a plus. Benefits We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary. Have peace of mind and body with our health insurance Make yourself a priority with flexible schedules and leave Policy Drive forward your career through professional development opportunities Achieve your personal goals with our Employee Assistance Program. Our commitment to you Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way. Join us and make a difference. Apply Now! Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Job Applicant's Privacy Notice Click on this link to read the Job Applicant's Privacy Notice

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : ServiceNow IT Service Management Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Job Title: Senior Software Developer (ServiceNow, DevOps, JavaScript, AI, UI Design) Job Summary: We are seeking a highly skilled and forward-thinking Senior Software Developer to join our growing team. The successful candidate will have a strong foundation in ServiceNow development, JavaScript, DevOps, and UI/UX design, with added expertise in AI integration, unit testing, and performance optimization. This role includes leading design initiatives, writing clean, efficient, and scalable code, conducting code reviews, and contributing to automation and AI-powered solutions. Key Responsibilities: Develop and extend ServiceNow applications, including workflows, business rules, UI policies, and integrations. Lead the design and front-end development of intuitive and user-friendly interfaces using modern frameworks. Write efficient, performant, and secure code following industry best practices. Implement comprehensive unit tests and test automation to ensure code quality and reduce regression issues. Apply DevOps practices to streamline development pipelines using tools like Jenkins, Git, Docker, and CI/CD workflows. Conduct peer code reviews, mentor junior developers, and uphold high standards for software design and implementation. Collaborate with product, design, and business teams to translate requirements into technical solutions. Integrate and help build AI/ML-powered features, such as intelligent automation, recommendation engines, or conversational interfaces. Continuously monitor, analyze, and improve application performance and reliability. Stay current with technology trends and contribute to innovation and knowledge sharing. Required Qualifications: Bachelor’s or master’s degree in computer science, Software Engineering, or a related field. 5+ years of professional experience in software development, including: 2+ years of hands-on ServiceNow development Strong proficiency in JavaScript and front-end frameworks (React, Vue, or similar) Experience building and maintaining unit tests using Jest, Mocha, Jasmine, or similar Demonstrated ability to write performant, optimized code Understanding of UI/UX design principles and experience creating accessible and responsive interfaces Familiarity with DevOps tools and practices (CI/CD, version control, containerization) Involvement in AI/ML projects or integrating AI APIs/services into applications Proven ability to lead system and application design discussions, enforce code quality, and perform structured code reviews Strong analytical and problem-solving skills Excellent verbal and written communication skills Preferred Qualifications: ServiceNow certifications (CSA, CAD, or other relevant modules) Experience with REST/SOAP APIs and enterprise integrations Knowledge of AI tools such as OpenAI, TensorFlow, or Azure Cognitive Services Agile/Scrum experience in a cross-functional team environment “Mandatory ServiceNow CAD certification” 15 years full time education

About The Role Uber AI Solutions is one of Uber's biggest bets with the ambition to build one of the world's largest data foundries for AI applications and evolve into a platform of choice for a variety of online tasks. The Moonshot AI team focuses on optimizing the Uber AI Solutions gig marketplace through intelligent supply and demand matching. We also accelerate human-in-the-loop data annotation with automation and develop robust automated evaluation systems. We are in the early stages, with significant opportunities to build new ML models for the gig marketplace. This includes integrating advanced ML models to enable ML-assisted annotations for various use cases, such as Gen AI Labeling, Image/Audio/Video Classification, and Image/Video Segmentation, building LLM-as-Judge for automated quality evaluation, training ranking models to recommend gigs to earners, etc.. In this role, you will collaborate closely with product managers, program managers, and cross-functional teams to deliver real world impact. You'll help grow Uber AI Solutions into a leader in the space. ---- What the Candidate Will Do ---- Identify and choose the right problems that will benefit from ML expertise. Design and develop a suite of ML models that will help solve the above problems. Collaborate with backend and frontend engineers to integrate your solutions into our products & platforms. Explore novel ideas and innovative solutions that can lead to a step change in our products Work with cross-functional counterparts like the ML Ops team to understand their needs and improve the models accordingly. Write clean, modular, and maintainable code. Conduct code reviews and ensure high code quality standards. Keep up to date with the latest ML technologies and best practices. Basic Qualifications Ph.D., MS, or Bachelors degree in Computer Science or a closely related discipline. Proficiency in Computer Vision (CV), Natural Language Processing (NLP), or Deep Learning, with a solid grasp of the latest advancements in Generative AI. Exceptional coding skills, demonstrated by the ability to write clean, elegant, and bug-free code in languages such as Java or Go. Strong desire for continuous learning and professional growth, coupled with a commitment to developing best-in-class systems. Excellent problem-solving and analytical abilities. Proven ability to collaborate effectively as a team player. Preferred Qualifications 5+ years of industry experience in ML/AI. Proven track record of training large models on distributed infrastructure. Demonstrated ability to rapidly prototype, signaling curiosity and an experimental approach. Experience collaborating effectively across an organization, not limited to just within teams.

About The Role Uber's mission is to be the platform of choice for flexible earning opportunities. GSS Tech at Uber is building marketplace and platform technologies that creates these truly global opportunities for knowledge work, e.g., data annotation, localization, testing, document processing, digitization of backend office work, maps data editing. Our marketplace connects underserved workers with external clients seeking top quality, cost-effective, and agile solutions for their knowledge work demand. An essential part of our marketplace is to build tools and platforms that empower knowledge workers to perform data annotation effectively. As the Product Manager for our Data Annotation Platform, you will lead the charge in building a competitive, worker centric product that transforms the labeling experience and enables high-quality, human-labeled data for the next generation of AI applications. You'll own the product roadmap, collaborate closely with engineering, data science, program managers and UX teams, and stay tuned to market needs and advancements in ML/AI technologies. Your work will ensure our platform remains the gold standard in the industry, with features that drive productivity, data quality, and AI readiness. If you're excited about building products that impact millions of people around the world, are passionate about driving efficiency, and thrive in an entrepreneurial environment, we'd love to hear from you! Together, we'll push the boundaries of what's possible in AI through the power of human input. What You Will Do ---- Conduct market research to understand trends, customer needs, and competitive landscape. Define product differentiation and competitive positioning strategies. Own the product roadmap, definition, and execution for building advanced applications that powers experience of knowledge workers and clients Own your numbers, drive your cross-functional team of engineers, data scientists, product ops, and designers to set qualitative objectives and quantitative goals -- and overachieve them. Collaborate with Uber internal and external stakeholders, including clients, product managers, engineering, data science, and global operations teams to ensure that our products support this new line of Uber's business objectives globally, at scale. What You Will Need ---- At least 4 years of experience in product management, with a history of delivering innovative and impactful products where your contributions are clearly evident. Demonstrated ability to collaborate effectively with both technical and non-technical teams, including executives. This role will require working closely with several key stakeholder groups across the organization. Deep focus on customer needs, with a talent for tackling complex product challenges and developing streamlined solutions that prevent unnecessary burden on users and partners. A proactive, entrepreneurial mindset and a strong desire to learn, supported by either an academic background or practical experience in fields like computer science, data science, product ops, economics, or engineering. Preferred Qualifications Customer obsession: Be passionate about understanding your customers' pain points, and building experiences to delight them. You can proudly showcase several examples of this. Experience building products from 0-1 Fulfillment and/or Marketplace experience with strong understanding of marketplace dynamics Strong analytical and experimentation background Persuasive communication and partnership skills- this will be an extremely cross-functional role, with stakeholder teams spanning multiple verticals globally

About Lowe's Lowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. Lowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India About The Team The Space Planning team is responsible for creating an inspirational in-store experience, while also ensuring that the products are placed strategically. This makes them easily available to the customers and influences them for impulse shopping, thereby increasing our sales. Job Summary Lead complex business critical special projects (space adjacency/planogram) through business and functional knowledge. Analyze data to provide valuable data driven recommendations positively impacting space allocation. Ability to work in fast-paced environment using agile methodology & dynamic prioritization partnering with multiple stakeholders. Be open to work with limited guidelines or set process open to ambiguity Roles & Responsibilities Core Responsibilities: Lead projects involving macro/micro space design, planning and execution for respective divisions & Cross Merchandising space. Create store specific Planograms / Floor Plans that illustrate layout and flow of merchandising categories by leveraging data, business context & presentation architecture. Support execution of business-critical special projects with high level of attention to detail with 100% accuracy under tight timelines Responsible for developing and maintaining global partnership for seamless exchange of knowledge and context. Knowledge Management – Create, Validate, Store & Share category/business context and execution guidelines. Leverage Project Management practices to help the team deliver projects within prescribed timelines with expected level of quality Work in a team environment with focus on achieving team goals vs individual goals Act as back-up for Lead Space Planner on Projects, Space Insights & recommendations Years Of Experience 4+ years of Retail Experience Education Qualification & Certifications (optional) Required Minimum Qualifications B.com / BBM / MBA / Retail Operations Management Skill Set Required Primary Skills (must have) Understanding of Retail Industry (local or global) Strong communication skills – ability to comprehend, articulate and seamlessly communicate locally and globally JDA Space Planning exposure Intermediate to advance MS Excel Problem Solving – ability to leverage data, information and visuals to solve business and execution challenges. Strong understanding of Project Management practices Secondary Skills (desired) Project Management Certification Six Sigma Certification Sql & BI Dashboards Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.

About Lowe's Lowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. About Lowe’s India Lowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India Job Summary We are looking for a Digital Finance Manager to lead a team and partner with the Digital Business, Tech & Finance teams across SSCM (US) & SSCB (India) to drive business outcomes in a financially prudent manner. They will be responsible for providing analyses, insights and business intelligence that helps identify performance drivers and guide appropriate tactical actions to improve financial outcomes. To Be Successful One Should Have Strong understanding of financial concepts Strong online retail acumen, should be eager to research new trends & concepts Partnership mindset - enabling Digital & Tech teams to deliver experiences, products and solutions by taking responsibility for financial prudence Bias towards action and outcomes Forward looking mindset to shape goals and build a winning culture for the team Strong communication skills to communicate across organization hierarchy, functions, geographies, teams An innate drive for learning & mentoring team Strong conflict resolution mindset with a focus on outcomes Roles & Responsibilities Core Responsibilities: Trusted Finance Business Partner Design, develop & produce insightful financial & business performance reports, dashboards and analyses. Provide proactive and timely financial analysis that highlights risks and opportunities to drive better business decisions Provide in-depth analysis on financial performance and root cause variances to forecasts. Solve complex problems with an analytical mindset; build frameworks for future analyses as appropriate. Facilitates financial forecasting and planning processes that support monthly forecasting, annual planning, Board of Director meetings and Earnings Call preparation. Seeks to maximize financial returns through communication of financial and non-financial insights to leaders. Analyzes using multiple data sources, translates findings into clear & understandable themes, and delivers actionable insights and recommendations. Develops business cases for key initiatives by creating robust financial models; identifies risks and engages the business owner in risk mitigation and trade-offs. Tracks and measures key KPIs that provide insight into an initiative’s success (leading and final indicators). Effective Team Leader Ensure a fully staffed and capable team with strong culture of delivery and camaraderie. Set goals, measure & provide mentorship and guide on career path to direct reports. Coaches and mentors associates on improving their business and financial knowledge. Builds a culture of driving value and productivity within the team. Years Of Experience Required experience: Experienced in business and financial analyses, financial modeling, and analytical problem solving. 7 - 10 years of prior experience in Retail / Digital Commerce / Finance functions. Experience in managing & coaching teams. Experience in P&L analysis / management. Preferred Experience Experience in managing a full P&L Experience in GCC environment managing stakeholders across time zones. Experience working in a large matrixed organization Education Qualification & Certifications Required: Bachelors degree in Engineering / Business / Finance Preferred: Masters degree in Business / Finance, qualified Finance professional Skill Set Required Primary Skills (must have) Expert in business and financial analysis using MS Excel Working knowledge of BI reporting & budgeting tools (Power BI, TM1 or equivalent) Working knowledge of Microsoft office suite Secondary Skills (desired) Understanding & experience in Python / R based analytical packages Good background in statistical modelling Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.

Job Description At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. Boeing Test and Evaluation team is currently looking for one Associate Software Engineer to join their team in Bengaluru, KA. Test & Evaluation engineers at Boeing make sure that products at the world’s largest aerospace company continue to meet the highest standards. From quality and reliability, to safety and performance, their expertise is vital to the concept, design and certifications of a wide variety of commercial and military systems. Position Responsibilities: This is a software development role. Your duties will include (but are not limited to): Develop, test, debug, and document application software Developing and implementing software solutions to meet real-time test requirements. Writing and executing test procedures. Develop training materials for Enterprise-wide sharing. Accuracy and accountability are key. Develop software verification plans, test procedures, and test environments. You will work under general direction as part of an agile development team. Basic Qualifications (Required Skills/Experience): Bachelor/Master is required as basic qualification. Minimum of 1-3 years of previous experience in full-stack development roles – preferably in application development. Good knowledge on Data Structures and Algorithms OOPS Concepts Proficiency in Back-End development with C#, ASP.NET v6.0 or greater Hands-On Experience developing UI components using front end frameworks such as Vue.js(preferred), React or Angular Experience with MS SQL SERVER Experienced with GIT for code versioning. Familiar with both Waterfall and Agile Methodologies. Excellent communication skills. Verbal communication should be clear, as well as written skills using US English. The candidate can work on a fast-moving development team, be candid about the status of their work with the development team. Strong written and oral interpersonal skills for creating and improving technical documents, and to effectively engage globally distributed engineering team. Excellent working knowledge of the entire software development lifecycle Preferred Qualifications (Desired Skills/Experience): Proficiency in any Language, and object-oriented programming. Excellent working knowledge of the entire software development lifecycle Proficient with software development and system integration including Agile concepts. Experience with Continuous Integration (CI) tools such as GitLab CI, Jenkins, or Nexus Familiar with Ethernet networks. Proficient with the MS Office suite of tools and should also demonstrate effective written and verbal English communication skills. Typical Education & Experience: Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 1-3 or more years' related work experience. Applications for this position will be accepted until Jul. 05, 2025 Export Control Requirements: This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Contingent Upon Program Reward The position is contingent upon program award Equal Opportunity Employer: We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

Job Description At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. Position Description: Boeing Regional Finance Center in Bangalore supports APAC, Middle East and Africa region. This role contributes to and supports the overall Finance and Accounting operations in the region. As a member of our team, you will be collaborating with multiple functions across the entire organization not only to ensure accurate and timely reporting of financial information but also to work on ad hoc projects in support of the business growth within the region and to identify opportunities to further streamline and improve current processes. Position Responsibilities: Collaborate with our outsourcing partner and reviews journal entries and Balance Sheet accounts reconciliation Ensure the accuracy of accounting entries and account reconciliations for assigned entities Support month end, quarter and year end closing activities. Preparation of management accounts reports Variance analysis reports out to leadership Support the tax declaration process as well as any statistical reporting requirements. Compile the annual financial statements and lead external audits. Coordinate information needs and requirements for timely filings. Evaluate and apply effective internal controls and support emerging business requirements. Effectively interprets and implements specific financial guidelines (Boeing Company Procedures, Policies, US GAAP, statutory, etc.). As a professional you drive initiatives in cross departmental projects regarding continuous improvement and optimization. This also includes driving process optimization through automation and robotization Work independently and in a team environment. Basic Qualifications (Required Skills/Experience) Bachelor’s degree or higher as BASIC QUALIFICATION 5+ years of relevant experience Ability to adapt to changing priorities and handling both routine and complex accounting duties. Ability to handle and prepare underlying accounting data in support of statutory audits. Excellent interpersonal and analytical skills, as well as strong written and verbal communication. Flexible and energetic person and ability to work different tasks at the same time. ERP and accounting systems skills (preferably Oracle version 12) Intermediate to advanced computer skills and proficiency with MS Office including MS Word, MS PowerPoint, MS Excel. Self-starter with a positive attitude, high ethics, and ability to work within a time-constrained environment. Strong written, oral, presentation and interpersonal communications in English. Needs to embody most if not all the following behavioral characteristics: foster variety with cultural differences, provide an ethical and personal leadership model, embrace personal learning and development, be a team player willing to perform duties occasionally not in job description in support of colleagues, understand customer and business partner collaboration and satisfaction. Understanding of audit process and ability to work through issues with statutory auditors and tax advisors. Preferred Qualifications (Desired Skills/Experience) CA with 5 to 7 years of experience including practical training with an accounting firm, if any OR Bachelor / Master’s degree in accounting from accredited university with equivalent combination of education and experience Experience in a shared service center with multinational companies. Big 4 accounting firm background. Prior experience dealing with overseas home office accounting and finance organization. Relocation: This position offers relocation based on candidate eligibility within India. Applications for this position will be accepted until Jul. 05, 2025 Export Control Requirements: This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

About The Role The Global Scaled Solutions team is building a marketplace for workers providing services such as data annotation for AI/ML, localisation,and data editing to enterprise customers across industries. We're seeking a Content Designer to help shape the creation of this marketplace with innovative, functional, and delightful experiences. Working with the Global Scale Solutions design team, you'll craft content strategies and UX copy that guide users through the platform with clarity and ease. You'll collaborate closely with cross-functional partners, advocate for user needs, and contribute to the growth of content design at Uber. In this role, you'll focus on projects that require a balance of strategy, systems thinking, and creativity. You'll help establish the effective messaging and information architecture for features in the marketplace, drive alignment across teams, and ensure that every word reflects Uber's commitment to accessibility, inclusivity, and simplicity. What You Will Do ---- Design impactful content for app interfaces, guiding users through their journey with clear, concise, and engaging language Develop scalable frameworks that align with global user needs and business goals. Collaborate across disciplines, partnering with product managers, engineers, researchers, product designers, and product marketing managers to deliver cohesive end-to-end experiences Incorporate insights and data from research, user feedback, and analytics to validate and improve your work Advocate for accessibility principles, ensuring content is inclusive, localized, and aligned with Uber's global standards Contribute to team growth by developing content guidelines, sharing best practices, and helping scale content design at Uber Manage your time and priorities effectively, balancing multiple projects in a fast-paced environment Develop content guidelines and other tools to grow the practice of content design at Uber What You Will Need ---- 3+ years of relevant experience in content design and UX writing A portfolio demonstrating your ability to craft clear, impactful content for digital products Experience collaborating across cross-functional teams to deliver user-centered solutions Preferred Qualifications A degree in English, Communication, Psychology, Design, Marketing, Journalism, or a related field emphasizing storytelling and critical thinking Experience designing for consumer-facing products with an understanding of content design best practices Familiarity with localization, accessibility, and global content standards Proven ability to manage multiple projects simultaneously while maintaining quality and meeting deadlines Strong communication and presentation skills, with the ability to advocate for content decisions Can demonstrate thinking at a high level about product strategy and vision