714 Vertex Jobs - Page 3

Description RESPONSIBILITIES Design and implement CI/CD pipelines for AI and ML model training, evaluation, and RAG system deployment (including LLMs, vectorDB, embedding and reranking models, governance and observability systems, and guardrails). Provision and manage AI infrastructure across cloud hyperscalers (AWS/GCP), using infrastructure-as-code tools -strong preference for Terraform-. Maintain containerized environments (Docker, Kubernetes) optimized for GPU workloads and distributed compute. Support vector database, feature store, and embedding store deployments (e.g., pgVector, Pinecone, Redis, Featureform. MongoDB Atlas, etc). Monitor and optimize performance, availability, and cost of AI workloads, using observability tools (e.g., Prometheus, Grafana, Datadog, or managed cloud offerings). Collaborate with data scientists, AI/ML engineers, and other members of the platform team to ensure smooth transitions from experimentation to production. Implement security best practices including secrets management, model access control, data encryption, and audit logging for AI pipelines. Help support the deployment and orchestration of agentic AI systems (LangChain, LangGraph, CrewAI, Copilot Studio, AgentSpace, etc.). Must Haves: 4+ years of DevOps, MLOps, or infrastructure engineering experience. Preferably with 2+ years in AI/ML environments. Hands-on experience with cloud-native services (AWS Bedrock/SageMaker, GCP Vertex AI, or Azure ML) and GPU infrastructure management. Strong skills in CI/CD tools (GitHub Actions, ArgoCD, Jenkins) and configuration management (Ansible, Helm, etc.). Proficient in scripting languages like Python, Bash, -Go or similar is a nice plus-. Experience with monitoring, logging, and alerting systems for AI/ML workloads. Deep understanding of Kubernetes and container lifecycle management. Bonus Attributes: Exposure to MLOps tooling such as MLflow, Kubeflow, SageMaker Pipelines, or Vertex Pipelines. Familiarity with prompt engineering, model fine-tuning, and inference serving. Experience with secure AI deployment and compliance frameworks Knowledge of model versioning, drift detection, and scalable rollback strategies. Abilities: Ability to work with a high level of initiative, accuracy, and attention to detail. Ability to prioritize multiple assignments effectively. Ability to meet established deadlines. Ability to successfully, efficiently, and professionally interact with staff and customers. Excellent organization skills. Critical thinking ability ranging from moderately to highly complex. Flexibility in meeting the business needs of the customer and the company. Ability to work creatively and independently with latitude and minimal supervision. Ability to utilize experience and judgment in accomplishing assigned goals. Experience in navigating organizational structure. Show more Show less

Description RESPONSIBILITIES Design and implement CI/CD pipelines for AI and ML model training, evaluation, and RAG system deployment (including LLMs, vectorDB, embedding and reranking models, governance and observability systems, and guardrails). Provision and manage AI infrastructure across cloud hyperscalers (AWS/GCP), using infrastructure-as-code tools -strong preference for Terraform-. Maintain containerized environments (Docker, Kubernetes) optimized for GPU workloads and distributed compute. Support vector database, feature store, and embedding store deployments (e.g., pgVector, Pinecone, Redis, Featureform. MongoDB Atlas, etc). Monitor and optimize performance, availability, and cost of AI workloads, using observability tools (e.g., Prometheus, Grafana, Datadog, or managed cloud offerings). Collaborate with data scientists, AI/ML engineers, and other members of the platform team to ensure smooth transitions from experimentation to production. Implement security best practices including secrets management, model access control, data encryption, and audit logging for AI pipelines. Help support the deployment and orchestration of agentic AI systems (LangChain, LangGraph, CrewAI, Copilot Studio, AgentSpace, etc.). Must Haves: 4+ years of DevOps, MLOps, or infrastructure engineering experience. Preferably with 2+ years in AI/ML environments. Hands-on experience with cloud-native services (AWS Bedrock/SageMaker, GCP Vertex AI, or Azure ML) and GPU infrastructure management. Strong skills in CI/CD tools (GitHub Actions, ArgoCD, Jenkins) and configuration management (Ansible, Helm, etc.). Proficient in scripting languages like Python, Bash, -Go or similar is a nice plus-. Experience with monitoring, logging, and alerting systems for AI/ML workloads. Deep understanding of Kubernetes and container lifecycle management. Bonus Attributes: Exposure to MLOps tooling such as MLflow, Kubeflow, SageMaker Pipelines, or Vertex Pipelines. Familiarity with prompt engineering, model fine-tuning, and inference serving. Experience with secure AI deployment and compliance frameworks Knowledge of model versioning, drift detection, and scalable rollback strategies. Abilities: Ability to work with a high level of initiative, accuracy, and attention to detail. Ability to prioritize multiple assignments effectively. Ability to meet established deadlines. Ability to successfully, efficiently, and professionally interact with staff and customers. Excellent organization skills. Critical thinking ability ranging from moderately to highly complex. Flexibility in meeting the business needs of the customer and the company. Ability to work creatively and independently with latitude and minimal supervision. Ability to utilize experience and judgment in accomplishing assigned goals. Experience in navigating organizational structure. Show more Show less

What You Will Be Doing Engage in Hands-On Coding: You will dedicate most of your time to hands-on coding, developing, and owning features across the entire product stack from conception to deployment. We have async systems to promote development without being bogged down in meetings all day! Build Systems and Cloud Infrastructure: You will design, build, and scale robust systems and cloud infrastructure to support our applications and enable secure, efficient interactions with major AI platforms. Define Technical Strategy and Culture: You will collaborate closely with the founding team to shape technical strategies, influence product development, and establish our engineering culture and best practices. Proactive Problem Solving: You will drive success by proactively contributing wherever you can, without waiting for established processes. Embrace Fast-Paced Development: You thrive in a fast-paced environment, iterating and testing in line with lean startup best practices, always eager to learn. Demonstrate Quality and Foresight: You meticulously analyze potential outcomes and demonstrate foresight in considering various situations, ensuring high-quality results in all aspects of your work. What Are We Looking For Experience at companies operating at scale Built Complex Systems from Scratch Experience with Cloud Infrastructure Previous startup experience (Nice to Have) Experience building in the AI stack (Nice to Have; or a hunger to learn) Our Tech Stack Basic: Python, Ruby on Rails, Next.js AI: Open AI, anthropic, Google Vertex AI Infra: Azure, K8s Our Values Owner Mentality: We take pride in our work, treat the company as our own, and proactively take initiative to drive success. Obsession with Building and Deploying: We are highly obsessed with building and deploying exceptional products, relentlessly striving to enhance the customer experience. Continuous Learning: Like AI models, we grow from our experiences, constantly improving ourselves and our work. Continuous Iteration: We embrace the power of refinement, welcoming feedback to iteratively enhance our products and processes. Collaborative: We are a team of high achievers; we enjoy each other's company and collaborate effectively. Humility: We have strong opinions but hold them loosely, collaborating without ego and valuing diverse perspectives. Show more Show less

Position Title : AI/ML Engineer. Company : Cyfuture India Pvt.Ltd. Industry : IT Services and IT Consulting. Location : Sector 81, NSEZ, Noida (5 Days Work From Office). About Cyfuture Cyfuture is a trusted name in IT services and cloud infrastructure, offering state-of-the-art data center solutions and managed services across platforms like AWS, Azure, and VMWare. We are expanding rapidly in system integration and managed services, building strong alliances with global OEMs like VMWare, AWS, Azure, HP, Dell, Lenovo, and Palo Alto. Position Overview We are hiring an experienced AI/ML Engineer to lead and shape our AI/ML initiatives. The ideal candidate will have hands-on experience in machine learning and artificial intelligence, with strong leadership capabilities and a passion for delivering production-ready solutions. This role involves end-to-end ownership of AI/ML projects, from strategy development to deployment and optimization of large-scale systems. Key Responsibilities Lead and mentor a high-performing AI/ML team. Design and execute AI/ML strategies aligned with business goals. Collaborate with product and engineering teams to identify impactful AI opportunities. Build, train, fine-tune, and deploy ML models in production environments. Manage operations of LLMs and other AI models using modern cloud and MLOps tools. Implement scalable and automated ML pipelines (e., with Kubeflow or MLRun). Handle containerization and orchestration using Docker and Kubernetes. Optimize GPU/TPU resources for training and inference tasks. Develop efficient RAG pipelines with low latency and high retrieval accuracy. Automate CI/CD workflows for continuous integration and delivery of ML systems. Key Skills & Expertise Cloud Computing & Deployment : Proficiency in AWS, Google Cloud, or Azure for scalable model deployment. Familiarity with cloud-native services like AWS SageMaker, Google Vertex AI, or Azure ML. Expertise in Docker and Kubernetes for containerized deployments. Experience with Infrastructure as Code (IaC) using tools like Terraform or CloudFormation. Machine Learning & Deep Learning Strong command of frameworks : TensorFlow, PyTorch, Scikit-learn, XGBoost. Experience with MLOps tools for integration, monitoring, and automation. Expertise in pre-trained models, transfer learning, and designing custom architectures. Programming & Software Engineering Strong skills in Python (NumPy, Pandas, Matplotlib, SciPy) for ML development. Backend/API development with FastAPI, Flask, or Django. Database handling with SQL and NoSQL (PostgreSQL, MongoDB, BigQuery). Familiarity with CI/CD pipelines (GitHub Actions, Jenkins). Scalable AI Systems Proven ability to build AI-driven applications at scale. Handle large datasets, high-throughput requests, and real-time inference. Knowledge of distributed computing : Apache Spark, Dask, Ray. Model Monitoring & Optimization Hands-on with model compression, quantization, and pruning. A/B testing and performance tracking in production. Knowledge of model retraining pipelines for continuous learning. Resource Optimization Efficient use of compute resources : GPUs, TPUs, CPUs. Experience with serverless architectures to reduce cost. Auto-scaling and load balancing for high-traffic systems. Problem-Solving & Collaboration Translate complex ML models into user-friendly applications. Work effectively with data scientists, engineers, and product teams. Write clear technical documentation and architecture reports. (ref:hirist.tech) Show more Show less

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Job Summary Fiche de poste : UPS Marketing team is looking for a talented and driven Data Scientist to drive its strategic objectives in the areas of pricing, revenue management, market analysis and evidence/data-based decision making. This role will work across multiple channels and teams to drive tangible results in the organization. You will focus on developing metrics for multiple channels and markets, applying advanced statistical modeling where appropriate and pioneering new analytical methods in a variety of fast paced and rapidly evolving consumer channels. This high visibility position will work with multiple levels of the organization, including senior leadership to bring analytical capabilities to the forefront of pricing, rate setting, and optimization of our go-to-market offers. You will contribute to rapidly evolving UPS Marketing analytical capabilities by working amongst a collaborative team of Data Scientists, Analysts and multiple business stakeholders. Responsibilities Become a subject matter expert on UPS business processes, data and analytical capabilities to help define and solve business needs using data and advanced statistical methods Analyze and extract insights from large-scale structured and unstructured data utilizing multiple platforms and tools. Understand and apply appropriate methods for cleaning and transforming data Work across multiple stake holders to develop, maintain and improve models in production Take the initiative to create and execute analyses in a proactive manner Deliver complex analytical and visualizations to broader audiences including upper management and executives Deliver analytics and insights to support strategic decision making Understand the application of AI/ML when appropriate to solve complex business problems Qualifications Expertise in R, SQL, Python. Strong analytical skills and attention to detail. Able to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Expertise with statistical techniques, machine learning or operations research and their application in business applications. Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production at scale. Proficient in Azure, Google Cloud environment Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Bonus Qualifications Experience with pricing methodologies and revenue management Experience using PySpark, Azure Databricks, Google BigQuery and Vertex AI Creating and implementing NLP/LLM projects Experience utilizing and applying neurals networks and other AI methodologies Familiarity with Data architecture and engineering Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés. Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Job Summary UPS Marketing team is looking for a talented and driven Data Scientist to drive its strategic objectives in the areas of pricing, revenue management, market analysis and evidence/data-based decision making. This role will work across multiple channels and teams to drive tangible results in the organization. You will focus on developing metrics for multiple channels and markets, applying advanced statistical modeling where appropriate and pioneering new analytical methods in a variety of fast paced and rapidly evolving consumer channels. This high visibility position will work with multiple levels of the organization, including senior leadership to bring analytical capabilities to the forefront of pricing, rate setting, and optimization of our go-to-market offers. You will contribute to rapidly evolving UPS Marketing analytical capabilities by working amongst a collaborative team of Data Scientists, Analysts and multiple business stakeholders. Responsibilities Become a subject matter expert on UPS business processes, data and analytical capabilities to help define and solve business needs using data and advanced statistical methods Analyze and extract insights from large-scale structured and unstructured data utilizing multiple platforms and tools. Understand and apply appropriate methods for cleaning and transforming data Work across multiple stake holders to develop, maintain and improve models in production Take the initiative to create and execute analyses in a proactive manner Deliver complex analytical and visualizations to broader audiences including upper management and executives Deliver analytics and insights to support strategic decision making Understand the application of AI/ML when appropriate to solve complex business problems Qualifications Expertise in R, SQL, Python. Strong analytical skills and attention to detail. Able to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Expertise with statistical techniques, machine learning or operations research and their application in business applications. Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production at scale. Proficient in Azure, Google Cloud environment Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Bonus Qualifications Experience with pricing methodologies and revenue management Experience using PySpark, Azure Databricks, Google BigQuery and Vertex AI Creating and implementing NLP/LLM projects Experience utilizing and applying neurals networks and other AI methodologies Familiarity with Data architecture and engineering Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Job Summary UPS Marketing team is looking for a talented and driven Data Scientist to drive its strategic objectives in the areas of pricing, revenue management, market analysis and evidence/data-based decision making. This role will work across multiple channels and teams to drive tangible results in the organization. You will focus on developing metrics for multiple channels and markets, applying advanced statistical modeling where appropriate and pioneering new analytical methods in a variety of fast paced and rapidly evolving consumer channels. This high visibility position will work with multiple levels of the organization, including senior leadership to bring analytical capabilities to the forefront of pricing, rate setting, and optimization of our go-to-market offers. You will contribute to rapidly evolving UPS Marketing analytical capabilities by working amongst a collaborative team of Data Scientists, Analysts and multiple business stakeholders. Responsibilities Become a subject matter expert on UPS business processes, data and analytical capabilities to help define and solve business needs using data and advanced statistical methods Analyze and extract insights from large-scale structured and unstructured data utilizing multiple platforms and tools. Understand and apply appropriate methods for cleaning and transforming data Work across multiple stake holders to develop, maintain and improve models in production Take the initiative to create and execute analyses in a proactive manner Deliver complex analytical and visualizations to broader audiences including upper management and executives Deliver analytics and insights to support strategic decision making Understand the application of AI/ML when appropriate to solve complex business problems Qualifications Expertise in R, SQL, Python. Strong analytical skills and attention to detail. Able to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Expertise with statistical techniques, machine learning or operations research and their application in business applications. Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production at scale. Proficient in Azure, Google Cloud environment Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Bonus Qualifications Experience with pricing methodologies and revenue management Experience using PySpark, Azure Databricks, Google BigQuery and Vertex AI Creating and implementing NLP/LLM projects Experience utilizing and applying neurals networks and other AI methodologies Familiarity with Data architecture and engineering Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP FI S/4HANA Accounting Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: SAP Tax Accounting Senior Consultant Roles & Responsibilities: 1 Hands on experience in SAP S4HANA/ECC implementation in SAP indirect and direct taxation 2 Implementation experience in Tax codes and Tax conditions 3 Strong knowledge in integration topic from Tax perspective with Procurement and Sales. 4 Implementation experience in Taxation tool like – DRC and E-Invoicing/E-Document. 5 Good knowledge on Taxation localization requirements across the globe 6 Integration experience with third party taxation tool like – Onesoure/Thomson Reuters/Vertex etc. 7 Should have implementation experience in SAP Taxation with minimum 5 years of experience. Professional & Technical Skills: 1 SAP Indirect and Direct Taxation 2 Taxation Functional Expertise 3 SAP S4HANA Financial Accounting. Additional Information: 1 Minimum 15 years full time in education. Show more Show less

We are seeking a highly skilled and experienced Senior Cloud Native Developer to join our team and drive the design, development, and delivery of cutting-edge cloud-based solutions on Google Cloud Platform (GCP). This role emphasizes technical expertise, best practices in cloud-native development, and a proactive approach to implementing scalable and secure cloud solutions. Responsibilities Design, develop, and deploy cloud-based solutions using GCP, adhering to architecture standards and best practices Code and implement Java applications using GCP Native Services like GKE, CloudRun, Functions, Firestore, CloudSQL, and Pub/Sub Select appropriate GCP services to address functional and non-functional requirements Demonstrate deep expertise in GCP PaaS, Serverless, and Database services Ensure compliance with security and regulatory standards across all cloud solutions Optimize cloud-based solutions to enhance performance, scalability, and cost-efficiency Stay updated on emerging cloud technologies and trends in the industry Collaborate with cross-functional teams to architect and deliver successful cloud implementations Leverage foundational knowledge of GCP AI services, including Vertex AI, Code Bison, and Gemini models when applicable Requirements 5+ years of extensive experience in designing, implementing, and maintaining applications on GCP Comprehensive expertise in using GCP services, including GKE, CloudRun, Functions, Firestore, Firebase, and Cloud SQL Knowledge of advanced GCP services, such as Apigee, Spanner, Memorystore, Service Mesh, Gemini Code Assist, Vertex AI, and Cloud Monitoring Solid understanding of cloud security best practices and expertise in implementing security controls in GCP Proficiency in cloud architecture principles and best practices, with a focus on scalable and reliable solutions Experience with automation and configuration management tools, particularly Terraform, along with a strong grasp of DevOps principles Familiarity with front-end technologies like Angular or React Nice to have Familiarity with GCP GenAI solutions and models, including Vertex AI, Codebison, and Gemini models Background in working with front-end frameworks and technologies to complement back-end cloud development Capability to design end-to-end solutions integrating modern AI and cloud technologies Show more Show less

About The Job Position Name - Senior Data & AI/ML Engineer – GCP Specialization Lead Minimum Experience - 10+ years Expected Date of Joining - Immediate Primary Skill GCP Services: BigQuery, Dataflow, Pub/Sub, Vertex AI ML Engineering: End-to-end ML pipelines using Vertex AI / Kubeflow Programming: Python & SQL MLOps: CI/CD for ML, Model deployment & monitoring Infrastructure-as-Code: Terraform Data Engineering: ETL/ELT, real-time & batch pipelines AI/ML Tools: TensorFlow, scikit-learn, XGBoos Secondary Skills GCP Certifications: Professional Data Engineer or ML Engineer Data Tools: Looker, Dataform, Data Catalog AI Governance: Model explainability, privacy, compliance (e.g., GDPR, fairness) GCP Partner Experience: Prior involvement in specialization journey or partner enablement Work Location - Remote What Makes Techjays An Inspiring Place To Work At Techjays, we are driving the future of artificial intelligence with a bold mission to empower businesses worldwide by helping them build AI solutions that transform industries. As an established leader in the AI space, we combine deep expertise with a collaborative, agile approach to deliver impactful technology that drives meaningful change. Our global team consists of professionals who have honed their skills at leading companies such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. With engineering teams across the globe, we deliver tailored AI software and services to clients ranging from startups to large-scale enterprises. Be part of a company that’s pushing the boundaries of digital transformation. At Techjays, you’ll work on exciting projects that redefine industries, innovate with the latest technologies, and contribute to solutions that make a real-world impact. Join us on our journey to shape the future with AI. We are seeking a Senior Data & AI/ML Engineer with deep expertise in GCP, who will not only build intelligent and scalable data solutions but also champion our internal capability building and partner-level excellence. This is a high-impact role for a seasoned engineer who thrives in designing GCP-native AI/ML-enabled data platforms. You’ll play a dual role as a hands-on technical lead and a strategic enabler, helping drive our Google Cloud Data & AI/ML specialization track forward through successful implementations, reusable assets, and internal skill development. Preferred Qualification GCP Professional Certifications: Data Engineer or Machine Learning Engineer. Experience contributing to a GCP Partner specialization journey. Familiarity with Looker, Data Catalog, Dataform, or other GCP data ecosystem tools. Knowledge of data privacy, model explainability, and AI governance is a plus. Work Location: Remote Key Responsibilities Data & AI/ML Architecture Design and implement data architectures for real-time and batch pipelines, leveraging GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Vertex AI, and Cloud Storage. Lead the development of ML pipelines, from feature engineering to model training and deployment using Vertex AI, AI Platform, and Kubeflow Pipelines. Collaborate with data scientists to operationalize ML models and support MLOps practices using Cloud Functions, CI/CD, and Model Registry. Define and implement data governance, lineage, monitoring, and quality frameworks. Google Cloud Partner Enablement Build and document GCP-native solutions and architectures that can be used for case studies and specialization submissions. Lead client-facing PoCs or MVPs to showcase AI/ML capabilities using GCP. Contribute to building repeatable solution accelerators in Data & AI/ML. Work with the leadership team to align with Google Cloud Partner Program metrics. Team Development Mentor engineers and data scientists toward achieving GCP certifications, especially in Data Engineering and Machine Learning. Organize and lead internal GCP AI/ML enablement sessions. Represent the company in Google partner ecosystem events, tech talks, and joint GTM engagements. What We Offer Best-in-class packages. Paid holidays and flexible time-off policies. Casual dress code and a flexible working environment. Opportunities for professional development in an engaging, fast-paced environment. Medical insurance covering self and family up to 4 lakhs per person. Diverse and multicultural work environment. Be part of an innovation-driven culture with ample support and resources to succeed. Show more Show less

We are seeking a highly skilled and experienced Senior Cloud Native Developer to join our team and drive the design, development, and delivery of cutting-edge cloud-based solutions on Google Cloud Platform (GCP). This role emphasizes technical expertise, best practices in cloud-native development, and a proactive approach to implementing scalable and secure cloud solutions. Responsibilities Design, develop, and deploy cloud-based solutions using GCP, adhering to architecture standards and best practices Code and implement Java applications using GCP Native Services like GKE, CloudRun, Functions, Firestore, CloudSQL, and Pub/Sub Select appropriate GCP services to address functional and non-functional requirements Demonstrate deep expertise in GCP PaaS, Serverless, and Database services Ensure compliance with security and regulatory standards across all cloud solutions Optimize cloud-based solutions to enhance performance, scalability, and cost-efficiency Stay updated on emerging cloud technologies and trends in the industry Collaborate with cross-functional teams to architect and deliver successful cloud implementations Leverage foundational knowledge of GCP AI services, including Vertex AI, Code Bison, and Gemini models when applicable Requirements 5+ years of extensive experience in designing, implementing, and maintaining applications on GCP Comprehensive expertise in using GCP services, including GKE, CloudRun, Functions, Firestore, Firebase, and Cloud SQL Knowledge of advanced GCP services, such as Apigee, Spanner, Memorystore, Service Mesh, Gemini Code Assist, Vertex AI, and Cloud Monitoring Solid understanding of cloud security best practices and expertise in implementing security controls in GCP Proficiency in cloud architecture principles and best practices, with a focus on scalable and reliable solutions Experience with automation and configuration management tools, particularly Terraform, along with a strong grasp of DevOps principles Familiarity with front-end technologies like Angular or React Nice to have Familiarity with GCP GenAI solutions and models, including Vertex AI, Codebison, and Gemini models Background in working with front-end frameworks and technologies to complement back-end cloud development Capability to design end-to-end solutions integrating modern AI and cloud technologies

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Google Cloud Infrastructure Support Engineer will be responsible for ensuring the reliability, performance, and security of our Google Cloud Platform (GCP) infrastructure. Work closely with cross-functional teams to troubleshoot issues, optimize infrastructure, and implement best practices for cloud architecture. Experience with Terraform for deploying and managing infrastructure templates. Administer BigQuery environments, including managing datasets, access controls, and optimize query performance. Be familiar with Vertex AI for monitoring and managing machine learning model deployments. Knowledge of GCP’s Kubernetes Engine and its integration with the cloud ecosystem. Understanding of cloud security best practices and experience with implementing security measures. Knowledge of setting up and managing data clean rooms within BigQuery. Understanding of the Analytics Hub platform and how it integrates with data clean rooms to facilitate sensitive data-sharing use cases. Knowledge of DataPlex and how it integrates with other Google Cloud services such as BigQuery, Dataproc Metastore, and Data Catalog. Key Responsibilities Provide technical support for our Google Cloud Platform infrastructure, including compute, storage, networking, and security services. Monitor system performance and proactively identify and resolve issues to ensure maximum uptime and reliability. Collaborate with cross-functional teams to design, implement, and optimize cloud infrastructure solutions. Automate repetitive tasks and develop scripts to streamline operations and improve efficiency. Document infrastructure configurations, processes, and procedures. Qualifications Required: Strong understanding of GCP services, including Compute Engine, Kubernetes Engine, Cloud Storage, VPC networking, and IAM. Experience with BigQuery and VertexAI Proficiency in scripting languages such as Python, Bash, or PowerShell. Experience with infrastructure as code tools such as Terraform or Google Deployment Manager. Strong communication and collaboration skills. Bachelor's Degree in Computer Science or related discipline, or the equivalent in education and work experience Preferred Google Cloud certification (e.g., Google Cloud Certified - Professional Cloud Architect, Google Cloud Certified - Professional Cloud DevOps Engineer) Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Google Cloud Infrastructure Support Engineer will be responsible for ensuring the reliability, performance, and security of our Google Cloud Platform (GCP) infrastructure. Work closely with cross-functional teams to troubleshoot issues, optimize infrastructure, and implement best practices for cloud architecture. Experience with Terraform for deploying and managing infrastructure templates. Administer BigQuery environments, including managing datasets, access controls, and optimize query performance. Be familiar with Vertex AI for monitoring and managing machine learning model deployments. Knowledge of GCP’s Kubernetes Engine and its integration with the cloud ecosystem. Understanding of cloud security best practices and experience with implementing security measures. Knowledge of setting up and managing data clean rooms within BigQuery. Understanding of the Analytics Hub platform and how it integrates with data clean rooms to facilitate sensitive data-sharing use cases. Knowledge of DataPlex and how it integrates with other Google Cloud services such as BigQuery, Dataproc Metastore, and Data Catalog. Key Responsibilities Provide technical support for our Google Cloud Platform infrastructure, including compute, storage, networking, and security services. Monitor system performance and proactively identify and resolve issues to ensure maximum uptime and reliability. Collaborate with cross-functional teams to design, implement, and optimize cloud infrastructure solutions. Automate repetitive tasks and develop scripts to streamline operations and improve efficiency. Document infrastructure configurations, processes, and procedures. Qualifications Required: Strong understanding of GCP services, including Compute Engine, Kubernetes Engine, Cloud Storage, VPC networking, and IAM. Experience with BigQuery and VertexAI Proficiency in scripting languages such as Python, Bash, or PowerShell. Experience with infrastructure as code tools such as Terraform or Google Deployment Manager. Strong communication and collaboration skills. Bachelor's Degree in Computer Science or related discipline, or the equivalent in education and work experience Preferred Google Cloud certification (e.g., Google Cloud Certified - Professional Cloud Architect, Google Cloud Certified - Professional Cloud DevOps Engineer) Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Fiche De Poste Google Cloud Infrastructure Support Engineer will be responsible for ensuring the reliability, performance, and security of our Google Cloud Platform (GCP) infrastructure. Work closely with cross-functional teams to troubleshoot issues, optimize infrastructure, and implement best practices for cloud architecture. Experience with Terraform for deploying and managing infrastructure templates. Administer BigQuery environments, including managing datasets, access controls, and optimize query performance. Be familiar with Vertex AI for monitoring and managing machine learning model deployments. Knowledge of GCP’s Kubernetes Engine and its integration with the cloud ecosystem. Understanding of cloud security best practices and experience with implementing security measures. Knowledge of setting up and managing data clean rooms within BigQuery. Understanding of the Analytics Hub platform and how it integrates with data clean rooms to facilitate sensitive data-sharing use cases. Knowledge of DataPlex and how it integrates with other Google Cloud services such as BigQuery, Dataproc Metastore, and Data Catalog. Key Responsibilities Provide technical support for our Google Cloud Platform infrastructure, including compute, storage, networking, and security services. Monitor system performance and proactively identify and resolve issues to ensure maximum uptime and reliability. Collaborate with cross-functional teams to design, implement, and optimize cloud infrastructure solutions. Automate repetitive tasks and develop scripts to streamline operations and improve efficiency. Document infrastructure configurations, processes, and procedures. Qualifications Required: Strong understanding of GCP services, including Compute Engine, Kubernetes Engine, Cloud Storage, VPC networking, and IAM. Experience with BigQuery and VertexAI Proficiency in scripting languages such as Python, Bash, or PowerShell. Experience with infrastructure as code tools such as Terraform or Google Deployment Manager. Strong communication and collaboration skills. Bachelor's Degree in Computer Science or related discipline, or the equivalent in education and work experience Preferred Google Cloud certification (e.g., Google Cloud Certified - Professional Cloud Architect, Google Cloud Certified - Professional Cloud DevOps Engineer) Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés. Show more Show less

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Job Summary Fiche de poste : UPS Enterprise Data Analytics team is looking for a talented and motivated Data Scientist to use statistical modelling, state of the art AI tools and techniques to solve complex and large-scale business problems for UPS operations. This role would also support debugging and enhancing existing AI applications in close collaboration with the Machine Learning Operations team. This position will work with multiple stakeholders across different levels of the organization to understand the business problem, develop and help implement robust and scalable solutions. You will be in a high visibility position with the opportunity to interact with the senior leadership to bring forth innovation within the operational space for UPS. Success in this role requires excellent communication to be able to present your cutting-edge solutions to both technical and business leaderships. Responsibilities Become a subject matter expert on UPS business processes and data to help define and solve business needs using data, advanced statistical methods and AI Be actively involved in understanding and converting business use cases to technical requirements for modelling. Query, analyze and extract insights from large-scale structured and unstructured data from different data sources utilizing different platforms, methods and tools like BigQuery, Google Cloud Storage, etc. Understand and apply appropriate methods for cleaning and transforming data, engineering relevant features to be used for modelling. Actively drive modelling of business problem into ML/AI models, work closely with the stakeholders for model evaluation and acceptance. Work closely with the MLOps team to productionize new models, support enhancements and resolving any issues within existing production AI applications. Prepare extensive technical documentation, dashboards and presentations for technical and business stakeholders including leadership teams. Qualifications Expertise in Python, SQL. Experienced in using data science-based packages like scikit-learn, numpy, pandas, tensorflow, keras, statsmodels, etc. Strong understanding of statistical concepts and methods (like hypothesis testing, descriptive stats, etc.), machine learning techniques for regression, classification, clustering problems, including neural networks and deep learning. Proficient in using GCP tools like Vertex AI, BigQuery, GCS, etc. for model development and other activities in the ML lifecycle. Strong ownership and collaborative qualities in the relevant domain. Takes initiative to identify and drive opportunities for improvement and process streamline. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Bonus Qualifications NLP, Gen AI, LLM knowledge/experience Knowledge of Operations Research methodologies and experience with packages like CPLEX, PULP, etc. Knowledge and experience in MLOps principles and tools in GCP. Experience working in an Agile environment, understanding of Lean Agile principles. Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés. Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Job Summary: UPS Enterprise Data Analytics team is looking for a talented and motivated Data Scientist to use statistical modelling, state of the art AI tools and techniques to solve complex and large-scale business problems for UPS operations. This role would also support debugging and enhancing existing AI applications in close collaboration with the Machine Learning Operations team. This position will work with multiple stakeholders across different levels of the organization to understand the business problem, develop and help implement robust and scalable solutions. You will be in a high visibility position with the opportunity to interact with the senior leadership to bring forth innovation within the operational space for UPS. Success in this role requires excellent communication to be able to present your cutting-edge solutions to both technical and business leaderships. Responsibilities Become a subject matter expert on UPS business processes and data to help define and solve business needs using data, advanced statistical methods and AI Be actively involved in understanding and converting business use cases to technical requirements for modelling. Query, analyze and extract insights from large-scale structured and unstructured data from different data sources utilizing different platforms, methods and tools like BigQuery, Google Cloud Storage, etc. Understand and apply appropriate methods for cleaning and transforming data, engineering relevant features to be used for modelling. Actively drive modelling of business problem into ML/AI models, work closely with the stakeholders for model evaluation and acceptance. Work closely with the MLOps team to productionize new models, support enhancements and resolving any issues within existing production AI applications. Prepare extensive technical documentation, dashboards and presentations for technical and business stakeholders including leadership teams. Qualifications Expertise in Python, SQL. Experienced in using data science-based packages like scikit-learn, numpy, pandas, tensorflow, keras, statsmodels, etc. Strong understanding of statistical concepts and methods (like hypothesis testing, descriptive stats, etc.), machine learning techniques for regression, classification, clustering problems, including neural networks and deep learning. Proficient in using GCP tools like Vertex AI, BigQuery, GCS, etc. for model development and other activities in the ML lifecycle. Strong ownership and collaborative qualities in the relevant domain. Takes initiative to identify and drive opportunities for improvement and process streamline. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Bonus Qualifications NLP, Gen AI, LLM knowledge/experience Knowledge of Operations Research methodologies and experience with packages like CPLEX, PULP, etc. Knowledge and experience in MLOps principles and tools in GCP. Experience working in an Agile environment, understanding of Lean Agile principles. Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Job Summary: UPS Enterprise Data Analytics team is looking for a talented and motivated Data Scientist to use statistical modelling, state of the art AI tools and techniques to solve complex and large-scale business problems for UPS operations. This role would also support debugging and enhancing existing AI applications in close collaboration with the Machine Learning Operations team. This position will work with multiple stakeholders across different levels of the organization to understand the business problem, develop and help implement robust and scalable solutions. You will be in a high visibility position with the opportunity to interact with the senior leadership to bring forth innovation within the operational space for UPS. Success in this role requires excellent communication to be able to present your cutting-edge solutions to both technical and business leaderships. Responsibilities Become a subject matter expert on UPS business processes and data to help define and solve business needs using data, advanced statistical methods and AI Be actively involved in understanding and converting business use cases to technical requirements for modelling. Query, analyze and extract insights from large-scale structured and unstructured data from different data sources utilizing different platforms, methods and tools like BigQuery, Google Cloud Storage, etc. Understand and apply appropriate methods for cleaning and transforming data, engineering relevant features to be used for modelling. Actively drive modelling of business problem into ML/AI models, work closely with the stakeholders for model evaluation and acceptance. Work closely with the MLOps team to productionize new models, support enhancements and resolving any issues within existing production AI applications. Prepare extensive technical documentation, dashboards and presentations for technical and business stakeholders including leadership teams. Qualifications Expertise in Python, SQL. Experienced in using data science-based packages like scikit-learn, numpy, pandas, tensorflow, keras, statsmodels, etc. Strong understanding of statistical concepts and methods (like hypothesis testing, descriptive stats, etc.), machine learning techniques for regression, classification, clustering problems, including neural networks and deep learning. Proficient in using GCP tools like Vertex AI, BigQuery, GCS, etc. for model development and other activities in the ML lifecycle. Strong ownership and collaborative qualities in the relevant domain. Takes initiative to identify and drive opportunities for improvement and process streamline. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Bonus Qualifications NLP, Gen AI, LLM knowledge/experience Knowledge of Operations Research methodologies and experience with packages like CPLEX, PULP, etc. Knowledge and experience in MLOps principles and tools in GCP. Experience working in an Agile environment, understanding of Lean Agile principles. Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Role : MLOps Engineer Location - Chennai - CKC Mode of Interview - In Person Data - 7th June 2025 (Saturday) Key Words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps maturity in the organization. Proactively introduce a modern, agile and automated approach to Data Science. Conduct internal training and presentations about MLOps tools’ benefits and usage. Required Experience And Qualifications Wide experience with Kubernetes. Experience in operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube). Good understanding of ML and AI concepts. Hands-on experience in ML model development. Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command line toolkit. Experience in CI/CD/CT pipelines implementation. Experience with cloud platforms - preferably AWS - would be an advantage. Show more Show less

At PwC, our people in tax services focus on providing advice and guidance to clients on tax planning, compliance, and strategy. These individuals help businesses navigate complex tax regulations and optimise their tax positions. In indirect tax at PwC, you will focus value-added tax (VAT), goods and services tax (GST), sales tax and other indirect taxes. Your work will involve providing advice and guidance to clients on indirect tax planning, compliance, and strategy, helping businesses navigate complex indirect tax regulations and optimise their indirect tax positions. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Project Management Experience.-Deep problem solving skills to assist with ideal future state solution for our clients. Ability to independently work designing the solutions based on the requirement. Tax Engine Experience (Vertex, Avalara, OneSource, Sovos) Configurations related to Tax Determination and Reporting - Build Indirect Tax requirements through interaction with client process teams Deep understanding of the Business Requirements in Indirect Tax Process Automation - Ability to take ownership of the Functional Design Strong Functional expertise and Deep problem solving skills to assist with ideal future state solution for our clients. Perform Testing in ERP system and Tax Engines Ability to identify root cause related to calculation issues in Oracle or SAP Ability to create these documentations: Business Requirements Documents, Functional Designs, Configurations,Test Scenarios and Training Guides -Ensuring a timely resolution of issues, through training, coaching, issue triage, classification, resolution, escalation, and SLA enforcement where necessary 7+ years of experience. Project Management Experience. Strong ERP skills (SAP/Oracle). Configuration related to Tax Business Process (order-to-cash and procure-to-pay). Tax Engine Experience (Vertex, Avalara, OneSource, Sovos). Experience with Configurations related to Tax Determination and Reporting. Build Indirect Tax requirements through interaction with client process teams. Deep understanding of the Business Requirements in Indirect Tax Process Automation. Ability to take ownership of the Functional Design. Strong Functional expertise and Deep problem solving skills to assist with ideal future state solution for our clients. Perform Testing in ERP system and Tax Engines. Ability to identify root cause related to calculation issues in Oracle or SAP. Ability to create these documentations: Business Requirements Documents, Functional Designs, Configurations,Test Scenarios and Training Guides. Ensuring a timely resolution of issues, through training, coaching, issue triage, classification, resolution, escalation, and SLA enforcement where necessary. Supporting existing and new client integrations through effective coordination, communication, and project management activities. Strong customer service mindsets, with the ability to build, maintain, and enhance relationships. We're looking for people who can speak up confidently, with a genuine desire to make things better across the business. If you're ready to further build on your reputation. Show more Show less

Job Summary We are seeking a highly experienced and customer-focused Presales Architect to join our Solution Engineering team. The ideal candidate will have a strong background in AWS IaaS, PaaS, and SaaS services , deep expertise in cloud architecture , and solid exposure to data platforms , including Amazon Redshift , AI/ML workloads , and modern data architectures . Familiarity with Azure and Google Cloud Platform (GCP) is a strong advantage. This role is a strategic blend of technical solutioning , customer engagement , and sales support , playing a critical role in the pre-sales cycle by understanding customer requirements, designing innovative solutions, and aligning them with the company’s service offerings. Key Responsibilities Pre-Sales and Solutioning: Engage with enterprise customers to understand their technical requirements and business objectives. Architect end-to-end cloud solutions on AWS , covering compute, storage, networking, DevOps, and security. Develop compelling solution proposals, high-level designs, and reference architectures that address customer needs. Support RFI/RFP responses, create technical documentation, and deliver presentations and demos to technical and non-technical audiences. Collaborate with Sales, Delivery, and Product teams to ensure alignment of proposed solutions with client expectations. Conduct technical workshops, proof of concepts (PoCs), and technical validations. Technical Expertise Deep hands-on knowledge and architecture experience with AWS services : IaaS: EC2, VPC, S3, EBS, ELB, Auto Scaling, etc. PaaS: RDS, Lambda, API Gateway, Fargate, DynamoDB, Aurora, Step Functions. SaaS & Security: AWS Organizations, IAM, AWS WAF, CloudTrail, GuardDuty. Understanding of multi-cloud strategies ; exposure to Azure and GCP cloud services including hybrid architectures is a plus. Strong knowledge of DevOps practices and tools like Terraform, CloudFormation, Jenkins, GitOps, etc. Proficiency in architecting solutions that meet scalability , availability , and security requirements. Data Platform & AI/ML Experience in designing data lakes , data pipelines , and analytics platforms on AWS. Hands-on expertise in Amazon Redshift , Athena , Glue , EMR , Kinesis , and S3-based architectures . Familiarity with AI/ML solutions using SageMaker , AWS Comprehend , or other ML frameworks. Understanding of data governance , data cataloging , and security best practices for analytics workloads. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field. 10+ years of experience in IT, with 5+ years in cloud architecture and pre-sales roles. AWS Certified Solutions Architect – Professional (or equivalent certification) is preferred. Strong presentation skills and experience interacting with CXOs, Architects, and DevOps teams. Ability to translate technical concepts into business value propositions. Excellent communication, proposal writing, and stakeholder management skills. Nice To Have Experience with Azure (e.g., Synapse, AKS, Azure ML) or GCP (e.g., BigQuery, Vertex AI) . Familiarity with industry-specific solutions (e.g., fintech, healthcare, retail cloud transformations). Exposure to AI/ML MLOps pipelines and orchestration tools like Kubeflow , MLflow , or Airflow . Show more Show less

Job Summary We are seeking a highly experienced and customer-focused Presales Architect to join our Solution Engineering team. The ideal candidate will have a strong background in AWS IaaS, PaaS, and SaaS services , deep expertise in cloud architecture , and solid exposure to data platforms , including Amazon Redshift , AI/ML workloads , and modern data architectures . Familiarity with Azure and Google Cloud Platform (GCP) is a strong advantage. This role is a strategic blend of technical solutioning , customer engagement , and sales support , playing a critical role in the pre-sales cycle by understanding customer requirements, designing innovative solutions, and aligning them with the company’s service offerings. Key Responsibilities Pre-Sales and Solutioning: Engage with enterprise customers to understand their technical requirements and business objectives. Architect end-to-end cloud solutions on AWS , covering compute, storage, networking, DevOps, and security. Develop compelling solution proposals, high-level designs, and reference architectures that address customer needs. Support RFI/RFP responses, create technical documentation, and deliver presentations and demos to technical and non-technical audiences. Collaborate with Sales, Delivery, and Product teams to ensure alignment of proposed solutions with client expectations. Conduct technical workshops, proof of concepts (PoCs), and technical validations. Technical Expertise Deep hands-on knowledge and architecture experience with AWS services : IaaS: EC2, VPC, S3, EBS, ELB, Auto Scaling, etc. PaaS: RDS, Lambda, API Gateway, Fargate, DynamoDB, Aurora, Step Functions. SaaS & Security: AWS Organizations, IAM, AWS WAF, CloudTrail, GuardDuty. Understanding of multi-cloud strategies ; exposure to Azure and GCP cloud services including hybrid architectures is a plus. Strong knowledge of DevOps practices and tools like Terraform, CloudFormation, Jenkins, GitOps, etc. Proficiency in architecting solutions that meet scalability , availability , and security requirements. Data Platform & AI/ML Experience in designing data lakes , data pipelines , and analytics platforms on AWS. Hands-on expertise in Amazon Redshift , Athena , Glue , EMR , Kinesis , and S3-based architectures . Familiarity with AI/ML solutions using SageMaker , AWS Comprehend , or other ML frameworks. Understanding of data governance , data cataloging , and security best practices for analytics workloads. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field. 10+ years of experience in IT, with 5+ years in cloud architecture and pre-sales roles. AWS Certified Solutions Architect – Professional (or equivalent certification) is preferred. Strong presentation skills and experience interacting with CXOs, Architects, and DevOps teams. Ability to translate technical concepts into business value propositions. Excellent communication, proposal writing, and stakeholder management skills. Nice To Have Experience with Azure (e.g., Synapse, AKS, Azure ML) or GCP (e.g., BigQuery, Vertex AI) . Familiarity with industry-specific solutions (e.g., fintech, healthcare, retail cloud transformations). Exposure to AI/ML MLOps pipelines and orchestration tools like Kubeflow , MLflow , or Airflow . Show more Show less

About Beco Beco ( letsbeco.com ) is a fast-growing Mumbai-based consumer-goods company on a mission to replace everyday single-use plastics with planet-friendly, bamboo- and plant-based alternatives. From reusable kitchen towels to biodegradable garbage bags, we make sustainable living convenient, affordable and mainstream. Our founding story began with a Mumbai beach clean-up that opened our eyes to the decades-long life of a single plastic wrapper—sparking our commitment to “Be Eco” every day. Our mission: “To craft, support and drive positive change with sustainable & eco-friendly alternatives—one Beco product at a time.” Backed by marquee climate-focused VCs and now 50 + employees, we are scaling rapidly across India’s top marketplaces, retail chains and D2C channels. Why we’re hiring Sustainability at scale demands operational excellence. As volumes explode, we need data-driven, self-learning systems that eliminate manual grunt work, unlock efficiency and delight customers. You will be the first dedicated AI/ML Engineer at Beco—owning the end-to-end automation roadmap across Finance, Marketing, Operations, Supply Chain and Sales. Responsibilities Partner with functional leaders to translate business pain-points into AI/ML solutions and automation opportunities. Own the complete lifecycle: data discovery, cleaning, feature engineering, model selection, training, evaluation, deployment and monitoring. Build robust data pipelines (SQL/BigQuery, Spark) and APIs to integrate models with ERP, CRM and marketing automation stacks. Stand up CI/CD + MLOps (Docker, Kubernetes, Airflow, MLflow, Vertex AI/SageMaker) for repeatable training and one-click releases. Establish data-quality, drift-detection and responsible-AI practices (bias, transparency, privacy). Mentor analysts & engineers; evangelise a culture of experimentation and “fail-fast” learning—core to Beco’s GSD (“Get Sh#!t Done”) values. Must-have Qualifications 3 + years hands-on experience delivering ML, data-science or intelligent-automation projects in production. Proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL; solid grasp of statistics, experimentation and feature engineering. Experience building and scaling ETL/data pipelines on cloud (GCP, AWS or Azure). Familiarity with modern Gen-AI & NLP stacks (OpenAI, Hugging Face, RAG, vector databases). Track record of collaborating with cross-functional stakeholders and shipping iteratively in an agile environment. Nice-to-haves Exposure to e-commerce or FMCG supply-chain data. Knowledge of finance workflows (Reconciliation, AR/AP, FP&A) or RevOps tooling (HubSpot, Salesforce). Experience with vision models (Detectron2, YOLO) and edge deployment. Contributions to open-source ML projects or published papers/blogs. What Success Looks Like After 1 Year 70 % reduction in manual reporting hours across finance and ops. Forecast accuracy > 85 % at SKU level, slashing stock-outs by 30 %. AI chatbot resolves 60 % of tickets end-to-end, with CSAT > 4.7/5. At least two new data-products launched that directly boost topline or margin. Life at Beco Purpose-driven team obsessed with measurable climate impact. Entrepreneurial, accountable, bold” culture—where winning minds precede outside victories. Show more Show less

Application Analyst Step into the world of innovation at Thomson Reuters—where your technical expertise meets global impact. As an Application Analyst, you'll be at the forefront of empowering clients by delivering exceptional support for our cutting-edge software solutions! The Application Analyst , role sits within our front-line technical support organization, which is tasked with assisting customers to successfully utilize our software solutions therefore meeting their firm’s business objectives. Hybrid Work Mode: 2-3 days mandatory Work from Office every week. Successful candidate will be required to cover at least one weekend shift(Saturday or Sunday) Shift timing: 9 hours between 7 :30PM - 5 :30AM IST (night shift). Candidate should be comfortable to work in rotational shifts. About the Role: In this opportunity as Application Analyst , you will be: Responding to and solving queries raised by our customers during their use of our applications, responding to customer by phone, e-mail or case comments. Concisely and accurately document support request information, paying particular attention to problem description, resolution, user reaction and follow up action. Interact with colleagues to resolve customer issues effectively and timely. Use internal resources as needed and escalate issues to Team Lead or Manager. Maintain up to date product knowledge of all supported products. Maintain correct contact details for our client base on our internal systems. Ensure common queries have a Knowledge Base Article (KBA). About You You’re a fit for the role of Application Analyst if your background includes: Essential Skills: Have an excellent level of English. 1-2 years of relevant experience is required. Strong customer service and communication skills. Experience providing technical support for enterprise class software. Problem solving skills. Able to work as part of a Team. Good to have skills: Experience with ONESOURCE Indirect Tax Determination (Sabrix), Vertex or Avalara #LI-SS3 What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. 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Job description Job Title: Tech Lead (AI/ML) – Machine Learning & Generative AI Location: Nagpur (Hybrid / On-site) Experience: 8–15 years Employment Type: Full-time Job Summary: We are seeking a highly experienced Python Developer with a strong background in traditional Machine Learning and growing proficiency in Generative AI to join our AI Engineering team. This role is ideal for professionals who have delivered scalable ML solutions and are now expanding into LLM-based architectures, prompt engineering, and GenAI productization. You’ll be working at the forefront of applied AI, driving both model performance and business impact across diverse use cases. Key Responsibilities: Design and develop ML-powered solutions for use cases in classification, regression, recommendation, and NLP. Build and operationalize GenAI solutions, including fine-tuning, prompt design, and RAG implementations using models such as GPT, LLaMA, Claude, or Gemini. Develop and maintain FastAPI-based services that expose AI models through secure, scalable APIs. Lead data modeling, transformation, and end-to-end ML pipelines, from feature engineering to deployment. Integrate with relational (MySQL) and vector databases (e.g., ChromaDB, FAISS, Weaviate) to support semantic search, embedding stores, and LLM contexts. Mentor junior team members and review code, models, and system designs for robustness and maintainability. Collaborate with product, data science, and infrastructure teams to translate business needs into AI capabilities. Optimize model and API performance, ensuring high availability, security, and scalability in production environments. Core Skills & Experience: Strong Python programming skills with 5+ years of applied ML/AI experience. Demonstrated experience building and deploying models using TensorFlow, PyTorch, scikit-learn, or similar libraries. Practical knowledge of LLMs and GenAI frameworks, including Hugging Face, OpenAI, or custom transformer stacks. Proficient in REST API design using FastAPI and securing APIs in production environments. Deep understanding of MySQL (query performance, schema design, transactions). Hands-on with vector databases and embeddings for search, retrieval, and recommendation systems. Strong foundation in software engineering practices: version control (Git), testing, CI/CD. Preferred/Bonus Experience: Deployment of AI solutions on cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools (MLflow, Airflow, DVC, SageMaker, Vertex AI). Experience with Docker, Kubernetes, and container orchestration. Understanding of prompt engineering, tokenization, LangChain, or multi-agent orchestration frameworks. Exposure to enterprise-grade AI applications in BFSI, healthcare, or regulated industries is a plus. What We Offer: Opportunity to work on a cutting-edge AI stack integrating both classical ML and advanced GenAI. High autonomy and influence in architecting real-world AI solutions. A dynamic and collaborative environment focused on continuous learning and innovation. Show more Show less

Level- Con, AM and Manager. Location- Bangalore, Hyderabad, Gurgaon Pune and Kochi. Experience:- 3 - 14 years Job Requirements Mandatory Skills Hands-on experience between 4 to 7 years This hands-on role expects the candidate to apply functional and technical knowledge of SAP and third party tax engines like Onesource/Vertex Establishes and maintains relationships with business leaders. Uses deep business knowledge to drive engagement on major tax integration projects Gather business requirements, lead analysis and drive high level E2E design Drive configuration and development activities to meet business requirements through a combination of internal and external teams — Manages external software vendors and System Integrators on project implementation, ensuring adherence to established SLA’s — Take a domain lead role on IT projects to ensure that all business stakeholders included and ensure they receive sufficient and timely communications — Provides leadership to teams and integrates technical expertise and business understanding to create superior solutions for the company and customers. Consults with team members and other organizations, customer and vendors on complex issues. Mentors others in the team on process/technical issues. — Uses formal system implementation methodologies during project preparation, requirements gathering, design, build/test and deployment — Experience in handling support incidents, major incidents and problems would be an added advantage — Key behavioural attributes/requirements — Hands on experience in Tax Engine Integration (OneSource/Vertex/Avalara) with ERP systems (Oracle/SAP) — Understanding of Indirect Tax Concepts — Good understanding of O2C and P2P processes — Hands on experience in Tax engine configurations (OneSource or Vertex) — Experience in troubleshooting tax related issues and solution design — Knowledge of Avalara and VAT compliance is a plus Preferred Skills — Indirect tax concepts — SAP native tax.