1404 Vertex Jobs - Page 13

Job Summary Location-Pune/Bangalore/Hyderabad JD- 6-10 Years of experience in implementing IT Operations Management, Discovery, Monitoring, and AIOps solutions. Experience of implementing BMC Helix ITOM / ITSM for at least 1 customer Design, Engineering and development experience on AIOPS and analytics solutions Strong understanding and experience on Machine Learning algorithms for various AIOPS use cases such as classification, clustering, and anomaly detections. Understanding of ITOM strategic approach to generative AI and Knowledge of configuring and obtaining the appropriate license to use GenAI capabilities Working Experience with one or more Hyper scalar AI/ GenAI offerings such as Azure OpenAI, Google Vertex, Llama. Understanding on GenAI implementations. Foundation models, Fine tuning, RAG, Prompt engineering. Working knowledge and understanding on development of ML models based on a widely used variety of ML algorithms like classifier algorithms (Linear, Logistics, decision tree, Support Vector, KNN, Random forest), clustering / outlier algorithms (K means, mean shitfing, DBSCAN, GMM, Hierarchical Clustering, etc), neural networks (ANN, RNN, etc). Development experience on GenAI/ML/NLP for IT Operations use cases. Strong prior experience on development and or/implementation of ITOM, ITSM and APM tools like OpenText OpsBridge, IBM Netcool, Sciencelogic, ServiceNow, BMC Remedy, OTRS, CA APM, Appdynamics, Dynatrace, ServiceNow Orchestrator, BMC Atrium Orchestrator, OpenText Operations Orchestrator Strong experience and background of IT Operations Management processes, IT Service Management Strong understanding of IT Operations Automation concepts and ability to leverage GenAI techniques for enabling it Strong understanding of Cloud & infrastructure technologies such as virtualization, hyper converged infrastructure, as a service, Software defined networks, servers, and storages

🚀 Join Square Steel Pty Ltd as a Vertex BD Drafter – Civil Engineers Welcome! 📍 Location: Surat, Gujarat, India 🏗️ Focus: Residential & Commercial Projects 📈 Software: Vertex BD (Training Provided) 💰 Salary: Competitive & Attractive Remuneration 🔍 About the Role Square Steel Pty Ltd, based in Adelaide, Australia, is seeking motivated individuals to join our team as Vertex BD Drafters in Surat. Whether you're an experienced professional or a recent graduate with a background in civil engineering and AutoCAD proficiency, this is your opportunity to advance your career in a supportive and dynamic environment. 💡 What We Offer Comprehensive Training: Full paid training in Vertex BD software, a leading Building Information Modelling (BIM) tool used across Australia for cold-formed steel framing. Career Growth: Opportunities to work on diverse residential and commercial projects, enhancing your skills and experience. Attractive Remuneration: Competitive salary packages commensurate with experience. Supportive Environment: Join a team that values collaboration, innovation, and professional development. 🛠️ Ideal Candidate Qualifications: Degree in Civil Engineering or related field. Experience: Proficiency in AutoCAD; experience with Vertex BD is advantageous but not required. Mindset: Eagerness to learn new software and adapt to evolving technologies in the construction industry. Location: Based in or willing to relocate to Surat, Gujarat. 📩 How to Apply Interested candidates are encouraged to submit their resume and a cover letter outlining their experience and motivation to join Square Steel Pty Ltd. 📧 Email: pankaj@squaresteel.com.au 📱 WhatsApp: +61 451 365 555

Who We Are Kontoor Brands, Inc. (KTB) is the parent company of Wrangler®, Lee® and Rock & Republic®, with owned manufacturing facilities in Mexico. Kontoor also owns and operates over 140 retail stores across the globe. Our global company employs more than 13,000 people in 65 countries, with world headquarters in Greensboro, North Carolina, and regional headquarters in Geneva and Hong Kong. Job Posting Position will be based on remote, India Job Description Engineering and Operations: System Monitoring & Performance Optimization: Ensuring smooth operations, continuous monitoring, and optimization of SAP environments. Incident Management & Troubleshooting: Quickly addressing and resolving technical issues across SAP systems and databases. Configuration & Maintenance: Overseeing the configuration of SAP Solution Manager, TMS, and SAP parameters. Database Management: Managing SAP HANA databases, applying patches and upgrades, ensuring backups, and optimizing performance. Cloud and Integration Management: Ensuring seamless integration of on-premise systems with SaaS and cloud platforms like Azure. SAP Vertex Integration: Supporting the configuration, maintenance, and integration of SAP Vertex for tax calculations, reporting, and compliance. SAP PI/PO Configuration & Management: Overseeing SAP PI/PO integrations, ensuring efficient data exchange, and troubleshooting integration issues between SAP and non-SAP systems. Shift Work: Flexibility to work on shifts based on the operational needs. Require participating in some On-call support and/or Follow-the-Sun Support model Project Execution And Delivery Participate in project technical design sessions analyzing business and technical infrastructure & cloud requirements, processes, integrate solutions of new and existing infrastructure and continuous improvement of standards, processes, procedure across the function area of responsibility related to Global SAP environment. Peer Review, validate, develop technical designs, prototypes, process designs, testing, training, and definition of support procedures for systems deployment in Cloud/On-Prem infrastructure(s) Develop and maintain appropriate detailed system documentation for global SAP environment, instances, interfaces, platforms, and relevant solutions – including architecture, design, integration flows, implementation, standard operating procedures, and testing lifecycle activities. As required, prepare formal project documentation, including specifications, requirements summaries, high-level design, low-level logical system design documents, state diagrams, automation integration flow, and test scripts. Internal Stakeholder and Vendor Management: Build, develop, and grow business relationships with users within Kontoor Global IT Infrastructure/Network/Application/Security and with key partners and vendors. This includes working with internal and external Infrastructure, application, security, and Networking teams to maintain and advance support for both current and future SAP landscapes. Provide regular communication to Kontoor IT management and leadership team on internal team initiatives, global IT Automation journey goals/objectives, Infrastructure/automation related projects, and other work assignments. Typical Requirements Bachelor’s degree in computer science, Software Development/Engineering, Infrastructure Technology Automation/Engineering, Industrial Engineering, Management Information Systems, or related field preferred, or a 15+ years combination of equivalent education and relevant experience Overall SAP Experience: 5+ years of total experience in SAP Basis and related technologies, with a deep understanding of SAP landscapes and architecture. Extensive experience working on large-scale SAP projects, including SAP S/4HANA, SAP BTP Cloud, SAP CAR, SAP Fiori, SAP SLT, SAP GRC, and Solution Manager implementations and support. SAP Technical Expertise: SAP S/4HANA: hands-on experience in SAP S/4HANA. SAP BTP Cloud: Proficiency in SAP Business Technology Platform, including cloud integrations. SAP CAR (Customer Activity Repository): Experience in implementing and maintaining SAP CAR. SAP Fiori: Expertise in Fiori app implementation, configuration, and troubleshooting. SAP SLT (SAP Landscape Transformation): Knowledge of real-time data replication and integration using SAP SLT. SAP GRC (Governance, Risk, and Compliance): Experience in implementing and managing SAP GRC systems. SAP Solution Manager: Experience in configuring and maintaining SAP Solution Manager, including basic and advanced configurations. SAP Vertex: Experience in integrating and maintaining SAP Vertex (Tax automation solution) with SAP ERP and S/4HANA environments. SAP PI/PO (Process Integration/Process Orchestration): Expertise in configuring, managing, and troubleshooting SAP PI/PO for seamless integration between various SAP and non-SAP systems. System Administration And Monitoring Operating System and Database Management: Experience with both SUSE Linux and Windows operating systems. Expertise in SAP/DB backup, restore, and recovery, server monitoring, performance optimization, and troubleshooting issues from the OS level. SAP HANA Database: Deep knowledge of SAP HANA's core technology, architecture, landscape design, installation, upgrades, and performance tuning. SAP ERP Systems: Administration and upgrade of SAP ERP systems, with specific experience in handling SAP ERP installations and MS SQL databases. System Copy and Transport Management: Handling system copy tasks, managing transports, TMS configuration, and troubleshooting transport errors. Performance Optimization & Troubleshooting: SQL Performance Analysis: Expertise in using SQL traces for performance optimization and impact analysis. Incident Management: Troubleshooting issues, including monitoring work processes, analyzing logs, and applying solutions based on OSS notes. Root Cause Analysis (RCA): Ability to perform in-depth analysis and identify the root causes of performance issues or incidents. SAP System Maintenance: Add-ons and Support Packages: Installation, upgrade, and troubleshooting of SAP add-ons and support packages. Kernel Upgrades and Client Copies: Experience with SAP kernel upgrades and client copy/export-import tasks. Spool Administration: Troubleshooting spool and printer-related issues. Cloud & Integration Knowledge: SaaS Products & Integrations: Familiarity with SaaS products and integrations, particularly with SAP solutions. Cloud Environments: Experience working with Azure and managing cloud-based systems, including integration with on-premise SAP systems. SAP PI/PO Integration: Experience with SAP PI/PO for seamless integration of SAP systems with other enterprise applications, handling data transformations, routing, and monitoring integration scenarios. Backup/Recovery & Disaster Recovery Strategy: Experience in disaster recovery (DR) strategy, backup/recovery processes, and maintaining system availability. Why Kontoor Brands? At Kontoor, we offer a comprehensive benefit package to fit your lifestyle. Our benefits are crafted with the same care as our products. When our employees are healthy, secure, and well, they bring their best selves to work. Kontoor Brands supports you with a competitive benefits program that provides choice and flexibility to meet your and your family’s needs – now and in the future. We offer resources to support your physical, emotional, social, and financial wellbeing, plus benefits like discounts on our apparel. Kontoor Brands also provides four weeks of Paid Parental Leave to eligible employees who are new parents, Flexible Fridays, and Tuition Reimbursement. We are proud to offer a workplace culture centered on equitable opportunities and a sense of belonging for all team members. Here we have a global workforce of high-performing teams that both unlocks our individual uniqueness and harnesses our collaborative talents.

NOTICE PERIOD: - 15-20 DAYS ONLY Role Summary: We are seeking an AI Architect to lead strategic AI transformation initiatives within the Banking, Financial Services, and Insurance (BFSI) domain. This role demands deep hands-on experience in AI, Machine Learning (ML), and Generative AI (GenAI), along with the ability to engage directly with C-level stakeholders, align technical delivery with business objectives, and drive enterprise-wide adoption of advanced AI solutions. The ideal candidate is a techno-strategic leader who can take AI/ML/GenAI projects from ideation to production—building architectures, leading cross-functional teams, and ensuring regulatory and operational alignment in BFSI environments. Key Responsibilities: Consulting & Business Alignment • Partner with senior business and IT leadership, including CIOs, CDOs, and COOs, to identify high-impact use cases across retail banking, insurance, credit, and capital markets. • Translate complex BFSI challenges into technically feasible and scalable AI/ML/GenAI solutions. • Create strategic roadmaps, capability assessments, and PoV/PoC execution plans that align with business KPIs and regulatory needs. Solution Architecture & Delivery Leadership • Design and lead delivery of AI/ML/GenAI pipelines covering data ingestion, model training, validation, deployment, and monitoring. • Build and scale GenAI-based solutions like LLM-driven chatbots, intelligent document processing, RAG pipelines, summarization tools, and virtual assistants. • Architect cloud-native AI platforms using AWS (SageMaker, Bedrock), Azure (ML, OpenAI), or GCP (Vertex AI, BigQuery, LangChain). • Define and implement MLOps and LLMOps frameworks for versioning, retraining, CI/CD, and production observability. • Ensure adherence to Responsible AI principles, including explainability, bias mitigation, auditability, and compliance with BFSI regulations (GDPR, RBI, SOC2, etc.). Engineering & Integration • Work closely with data engineering teams to acquire, transform, and pipeline data from core banking systems, CRMs, claims systems, and real-time feeds. • Design architecture for data lakes, feature stores, and vector databases supporting AI and GenAI use cases

Solutions Architect – GenAI, AI/ML & AWS Cloud Architect the Future of AI with goML At goML, we design and build cutting-edge Generative AI, AI/ML, and Data Engineering solutions that help businesses unlock the full potential of their data, drive intelligent automation, and create transformative AI-powered experiences. Our mission is to bridge the gap between state-of-the-art AI research and real-world enterprise applications - helping organizations innovate faster, make smarter decisions, and scale AI solutions seamlessly. We’re looking for a Solutions Architect with deep expertise in designing AI/ML and GenAI architectures on AWS. In this role, you’ll be responsible for crafting scalable, high-performance, and cost-effective AI solutions - leveraging AWS AI/ML services, modern data infrastructure, and cloud-native best practices. If you thrive in architecting intelligent, data-driven systems and love solving complex technical challenges, we’d love to hear from you! Why You? Why Now? Generative AI is reshaping industries, and businesses are looking for scalable, cost-efficient, and production-ready AI/ML solutions. This role is perfect for someone who loves solutioning AI/ML workloads, optimizing cloud infrastructure, and working directly with clients to drive real-world impact. At goML, you will: Own the architecture and solutioning of AI/ML and GenAI applications Work with sales & engineering leaders to scope customer needs & build proposals Design scalable architectures using AWS services like SageMaker, Bedrock, Lambda, and Redshift Influence high-impact AI/ML decisions while working closely with the co-founders What You’ll Do (Key Responsibilities) First 30 Days: Foundation & Orientation Deep dive into goML’s AI/ML & GenAI solutions, architecture frameworks, and customer engagements Familiarize yourself with goML and AWS partnership workflows Work alongside sales leaders to understand customer pain points & proposal workflows Review and refine best practices for deploying AI/ML workloads on AWS Start contributing to solution architectures, and lead client discussions First 60 Days: Execution & Impact Own customer AI/ML solutioning, including LLMOps, inference optimization, and MLOps pipelines Collaborate with engineering teams to develop reference architectures & POCs for AI workloads Build strategies to optimize AI/ML model deployment, GPU utilization, and cost-efficiency in AWS Assist in sizing and optimizing AWS infrastructure for AI/ML-heavy workloads Work closely with customers to translate GenAI and AI/ML requirements into scalable architectures First 180 Days: Ownership & Transformation Lead AI/ML architectural decisions for complex enterprise-scale AI projects Optimize multi-cloud and hybrid AI/ML deployments across AWS, Azure, and GCP Mentor team members on best practices for GenAI & cloud AI deployments Define long-term strategies for AI-driven data platforms, model lifecycle management, and cloud AI acceleration Represent goML in technical conferences, blogs, and AI/ML meetups What You Bring (Qualifications & Skills) Must-Have: 5-8 years of experience designing AI/ML and data-driven architectures on AWS At least 2 years of hands-on experience in GenAI, LLMOps, or advanced AI/ML workloads Deep expertise in AWS AI/ML services (SageMaker, Bedrock, Lambda, Inferentia, Trainium) Strong knowledge of AWS Data Services (S3, Redshift, Glue, Lake Formation, DynamoDB) Experience in optimizing AI/ML inference, GPU utilization, and MLOps pipelines Excellent client-facing communication skills with experience in proposal writing Nice-to-Have: Familiarity with Azure ML, GCP Vertex AI, and NVIDIA AI/ML services Experience in LangChain, RAG architectures, and multi-modal AI models Knowledge of MLOps automation, CI/CD for AI models, and scaling inference workloads Meet Your Hiring Manager You’ll report to Prashanna Hanumantha Rao, who runs practice teams, engineering, delivery, and operations for goML Expect a high-autonomy, high-impact environment, working closely with the co-founders and senior leadership to drive AI/ML innovation at goML. Why Work With Us? Remote-first, with offices in Coimbatore for in-person collaboration Work on cutting-edge GenAI & AI/ML challenges at scale Direct impact on enterprise AI solutioning & technical strategy Competitive salary, leadership growth opportunities and ESOPs down the line

Job Title: Senior Data Scientist (Advanced Modeling & Machine Learning) Location: Remote Location Preference: We are specifically looking to hire talented individuals from Tier 2 and Tier 3 cities for this opportunity. Job Type: Full-time About the role We are seeking a highly motivated and experienced Senior Data Scientist with a strong background in statistical modeling, machine learning, and natural language processing (NLP). This individual will work on advanced attribution models and predictive algorithms that power strategic decision-making across the business. The ideal candidate will have a Master’s degree in a quantitative field, 4–6 years of hands-on experience, and demonstrated expertise in building models from linear regression to cutting-edge deep learning and large language models (LLMs). A Ph.D. is strongly preferred. Responsibilities Responsible for analyzing the data, identifying patterns, and do a detailed EDA. Build and refine predictive models using techniques such as linear/logistic regression, XGBoost, and neural networks. Leverage machine learning and NLP methods to analyze large-scale structured and unstructured datasets. Apply LLMs and transformers to develop solutions in content understanding, summarization, classification, and retrieval. Collaborate with data engineers and product teams to deploy scalable data pipelines and model production systems. Interpret model results, generate actionable insights, and present findings to technical and non-technical stakeholders. Stay abreast of the latest research and integrate cutting-edge techniques into ongoing projects Required Qualifications Master’s degree in Computer Science, Statistics, Applied Mathematics, or a related field. 4–6 years of industry experience in data science or machine learning roles. Strong statistical foundation, with practical experience in regression modeling, hypothesis testing, and A/B testing. Hands-on knowledge of: > Programming languages : Python (primary), SQL, R (optional) > Libraries : pandas, NumPy, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, spaCy, Hugging Face Transformers > Distributed computing : PySpark, Dask > Big Data and Cloud Platforms : Databricks, AWS Sagemaker, Google Vertex AI, Azure ML > Data Engineering Tools : Apache Spark, Delta Lake, Airflow > ML Workflow & Visualization : MLflow, Weights & Biases, Plotly, Seaborn, Matplotlib > Version control and collaboration : Git, GitHub, Jupyter, VSCode Preferred Qualifications Masters or Ph.D. in a quantitative or technical field. Experience with deploying machine learning pipelines in production using CI/CD tools. Familiarity with containerization (Docker) and orchestration (Kubernetes) in ML workloads. Understanding of MLOps and model lifecycle management best practices. Experience in real-time data processing (Kafka, Flink) and high-throughput ML systems. What We Offer Competitive salary and performance bonuses Flexible working hours and remote options Opportunities for continued learning and research Collaborative, high-impact team environment Access to cutting-edge technology and compute resources To apply, send your resume to jobs@megovation.io to be part of a team pushing the boundaries of data-driven innovation.

5+ years of overall experience in AI/ML, with 2–3 years in Generative AI and LLMs. Strong coding skills in Python; familiarity with PyTorch, TensorFlow, or JAX. Experience with: HuggingFace Transformers, LangChain, and OpenAI/Cohere/Claude APIs. Prompt engineering, fine-tuning, and custom embeddings. Proficiency in developing and deploying APIs using FastAPI or Flask. Experience with Docker and containerized deployment. Cloud exposure: Azure, AWS, or GCP, especially ML services like SageMaker, Vertex AI, or Azure ML. Education: B.E / B.Tech / MCA /M.Sc (Preferrable) Please send your resumes to gopi@nithminds.com Job Type: Permanent Pay: ₹600,000.00 - ₹1,200,000.00 per year Schedule: Day shift Work Location: In person

** Job Qualification ** : MBA ** Requirements **: - Excellent communication and interpersonal skills - Proficiency in MS Office - Own vehicle - Local resident ** Experience ** : 1 year ** Gender ** : Female/Male ** Work Type ** : Full-time ** Headquarters ** : Ahmedabad ** Application Process ** : Interested candidates can send their CV via email to admin@vertexinteriorsindia.com. ** Salary Package ** : ₹4,00,000 to ₹4,50,000 ** Additional Benefits ** : - Provident Fund (PF) - Employee State Insurance (ESI) - Conveyance allowance - Travel allowance - Internet facility ** Company Profile ** : Vertex Conception Pvt. Ltd. is an established company based in Ahmedabad with 28 years of experience in turnkey interior contracts for corporate and industrial offices. ** Job Role ** : As a Marketing Executive, the candidate will be responsible for generating leads and converting them into business by approaching industries, corporates, banks, architects, interior designers, project consultants, and premium commercial buildings in Gujarat.

A career in our State and Local Indirect Tax practice, within State and Local Tax services, will provide you with the opportunity to help our clients solve their business issues related to business restructuring, adoption of new tax laws, and communicating local tax developments. You’ll help with assessing our client’s state and local tax burden and recommend solutions that support their overall business objectives to ensure that their filling positions are consistent with good business practices and with the states applicable tax laws and rules. Our team helps our clients manage their indirect tax responsibilities related to value added taxes, sales and use taxes, goods and services taxes, federal excise taxes, and other transaction taxes. You’ll help with identifying and exploring indirect tax opportunities and issues related to business expansion, systems and controls, refunds and cash flow, and policy and design. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. Responsibilities As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. 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) - Configurations related to Tax Determination and Reporting - Active Involvement in the Functional Design - Deep problem solving skills to assist with ideal future state solution for our clients. - Ability to Perform end to end testing in ERP system and Tax Engines - Ability to identify root cause related to calculation issues in Oracle or SAP - Ability to work on Support tickets and incidents. 3+ years of 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). Configurations related to Tax Determination and Reporting. Active Involvement in the Functional Design. 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. 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. Meet SLA Commitments. 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.

Job Description Must have : Strong on programming languages like Python, Java One cloud hands-on experience (GCP preferred) Experience working with Dockers Environments managing (e.g venv, pip, poetry, etc.) Experience with orchestrators like Vertex AI pipelines, Airflow, etc. Understanding of full ML Cycle end-to-end Data engineering, Feature Engineering techniques Experience with ML modelling and evaluation metrics Experience with Tensorflow, Pytorch or another framework Experience with Models monitoring Advance SQL knowledge Aware of Streaming concepts like Windowing , Late arrival , Triggers etc. Good To Have Hyperparameter tuning experience. Proficient in either Apache Spark or Apache Beam or Apache Flink. Should have hands-on experience on Distributed computing. Should have working experience on Data Architecture design. Should be aware of storage and compute options and when to choose what. Should have good understanding on Cluster Optimisation/ Pipeline Optimisation strategies. Should have exposure on GCP tools to develop end to end data pipeline for various scenarios (including ingesting data from traditional data bases as well as integration of API based data sources). Should have Business mindset to understand data and how it will be used for BI and Analytics purposes. Should have working experience on CI/CD pipelines, Deployment methodologies, Infrastructure as a code (eg. Terraform). Hands-on experience on Kubernetes. Vector based Database like Qdrant. LLM experience (embeddings generation, embeddings indexing, RAG, Agents, etc.). Key Responsibilities Design, develop, and implement AI models and algorithms using Python and Large Language Models (LLMs). Collaborate with data scientists, engineers, and business stakeholders to define project requirements and deliver impactful AI-driven solutions. Optimize and manage data pipelines, ensuring efficient data storage and retrieval with PostgreSQL. Continuously research emerging AI trends and best practices to enhance model performance and capabilities. Deploy, monitor, and maintain AI applications in production environments, adhering to best industry standards. Document technical designs, workflows, and processes to facilitate clear knowledge transfer and project continuity. Communicate technical concepts effectively to both technical and non-technical team Skills and Qualifications : Proven expertise in Python programming for AI/ML applicati (ref:hirist.tech)

A career in our State and Local Indirect Tax practice, within State and Local Tax services, will provide you with the opportunity to help our clients solve their business issues related to business restructuring, adoption of new tax laws, and communicating local tax developments. You’ll help with assessing our client’s state and local tax burden and recommend solutions that support their overall business objectives to ensure that their filling positions are consistent with good business practices and with the states applicable tax laws and rules. Our team helps our clients manage their indirect tax responsibilities related to value added taxes, sales and use taxes, goods and services taxes, federal excise taxes, and other transaction taxes. You’ll help with identifying and exploring indirect tax opportunities and issues related to business expansion, systems and controls, refunds and cash flow, and policy and design. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. Responsibilities As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. 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) - Configurations related to Tax Determination and Reporting - Active Involvement in the Functional Design - Deep problem solving skills to assist with ideal future state solution for our clients. - Ability to Perform end to end testing in ERP system and Tax Engines - Ability to identify root cause related to calculation issues in Oracle or SAP - Ability to work on Support tickets and incidents. 3+ years of 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). Configurations related to Tax Determination and Reporting. Active Involvement in the Functional Design. 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. 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. Meet SLA Commitments. 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.

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. In SAP technology at PwC, you will specialise in utilising and managing SAP software and solutions within an organisation. You will be responsible for tasks such as installation, configuration, administration, development, and support of SAP products and technologies. 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. Job Summary - At PwC we relentlessly focus on working with our clients to bring the power of technology and humans together and create simple, yet powerful solutions. We imagine a day when our clients can simply focus on their business knowing that they have a trusted partner for their IT needs. Every day we are motivated and passionate about making our clients’ better. Within our Managed Services platform, PwC delivers integrated services and solutions that are grounded in deep industry experience and powered by the talent that you would expect from the PwC brand. The PwC Managed Services platform delivers scalable solutions that add greater value to our client’s enterprise through technology and human-enabled experiences. Our team of highly-skilled and trained global professionals, combined with the use of the latest advancements in technology and process, allows us to provide effective and efficient outcomes. With PwC’s Managed Services our client’s are able to focus on accelerating their priorities, including optimizing operations and accelerating outcomes. PwC brings a consultative first approach to operations, leveraging our deep industry insights combined with world class talent and assets to enable transformational journeys that drive sustained client outcomes. Our clients need flexible access to world class business and technology capabilities that keep pace with today’s dynamic business environment. Within our global, Managed Services platform, we provide Application Evolution Services (formerly Application Managed Services), where we focus more so on the evolution of our clients’ applications and cloud portfolio. Our focus is to empower our client’s to navigate and capture the value of their application portfolio while cost-effectively operating and protecting their solutions. We do this so that our clients can focus on what matters most to your business: accelerating growth that is dynamic, efficient and cost-effective. As a member of our Application Evolution Services (AES) team, we are looking for candidates who thrive working in a high-paced work environment capable of working on a mix of critical Application Evolution Service offerings and engagement including help desk support, enhancement and optimization work, as well as strategic roadmap and advisory level work. It will also be key to lend experience and effort in helping win and support customer engagements from not only a technical perspective, but also a relationship perspective. Minimum Degree Required (BQ) *: BE / B Tech / ME / M Tech / MBA Required Field(s) Of Study (BQ) Preferred Field(s) of Study: Minimum Year(s) of Experience (BQ) *: 10-16 years of experience Certification(s) Preferred Preferred Knowledge/Skills *: General Skill Set As a Manager, you’ll work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution. Specific responsibilities include but are not limited to: Proactively assist in the management of a portfolio of clients, while reporting to Senior Managers and above. Be involved in the financial metrics. Be actively involved in business development activities to help identify and research opportunities on new/existing clients. Contribute to the development of your own and team’s technical acumen. Use data and insights to inform conclusions and support decision-making. Adherence to SLAs, experience in incident management, change management and problem management. Develop new skills and strategies to solve complex technical challenges. Assist in the management and delivering of large projects. Train, coach, and supervise staff to recognize their strengths and encourage them to take ownership of their personal development. Act to resolve issues which prevent the team working effectively. Keep up to date with local and national business and economic issues. Continue to develop internal relationships and the PwC brand. Build a strong team environment that includes client interactions, workstream management, and cross-team collaboration. Actively engage in cross competency work and contribute to COE activities. Demonstrating project management skills including the ability to manage multiple projects simultaneously while being detail oriented. Strong Knowledge In 3 to 6 years of hands-on experience in Project Management Experience in supporting project management activities for multinational large scale SAP support projects Experience in performing project management activities from offshore that includes/ support project initiation, cost management, communication, preparing status, quality management/ monitoring, resource management, risk management, etc. Experience in project management tools such as SAP Solution Management, Microsoft Project Planning, JIRA, etc. Basic understanding of ITIL key components such as Service value system and the four Dimensions model. Understand client requirements, provide solutions, functional specifications and implement technical components accordingly. Ability to create Technical Design Documents (TDD) and Unit Test documents for the technical solutions being implemented. Excellent Communication, analytical and Interpersonal skills as a Consultant and play a role of team lead. Must have experience in end-to-end implementation of Vertex integration with SAP. Hands-on experience with SAP & Vertex configuration and troubleshooting with integrated applications. Should have good knowledge in understanding of global and country specific Tax procedures. Deep knowledge of Vertex tax engine, including tax rules, calculations, and data structures configurations. Good experience required with Vertex setups (Tax Product Category (TPC), Tax Product Driver (TPD), Tax Assist Rules) Experience in both Output and Input Taxes Should be able to communicate effectively with the team on the technical requirements Strong knowledge of SAP FICO Business Processes like P2P, OTC, AP, AR, GL, and Controlling, Strong knowledge of Month/year-end processes. Knowledge of working on interfaces like ALE, EDI IDOC, and RFC. Good Knowledge of SAP MM/SD/FI integration processes Experience in developing custom objects including requirement gathering preparing Functional Design documents, Estimation, conducting UT, SIT, and knowledge of SAP tables in areas of FI and CO. Responsible for supporting in translating business requirements into standard/custom solutions in the Finance domain focusing the skillset on the ERP solution with a focus on TAX. VAT determination and Withholding Tax expertise. Preferred Skills ITIL 4 Certification

Remote Work: Hybrid Overview: At Zebra, we are a community of innovators who come together to create new ways of working to make everyday life better. United by curiosity and care, we develop dynamic solutions that anticipate our customer’s and partner’s needs and solve their challenges. Being a part of Zebra Nation means being seen, heard, valued, and respected. Drawing from our diverse perspectives, we collaborate to deliver on our purpose. Here you are a part of a team pushing boundaries to redefine the work of tomorrow for organizations, their employees, and those they serve. You have opportunities to learn and lead at a forward-thinking company, defining your path to a fulfilling career while channeling your skills toward causes that you care about – locally and globally. We’ve only begun reimaging the future – for our people, our customers, and the world. Let’s create tomorrow together. A Data Engineer will be responsible for Designs, develops, programs and implements Machine Learning solutions , Implements Artificial/Augmented Intelligence systems/Agentic Workflows/Data Engineer Workflows, Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques on structured, unstructured, diverse “big data” sources of machine acquire data to generate actionable insights and foresights for real life business problem solutions and product features development and enhancements. A strong understanding of databases, SQL, cloud technologies, and modern data integration and orchestration tools like Azure Data Factory (ADF) are required to succeed in this role. Responsibilities: Integrates state-of-the-art machine learning algorithms as well as the development of new methods Develops tools to support analysis and visualization of large datasets Develops, codes software programs, implements industry standard auto ML models (Speech, Computer vision, Text Data, LLM), Statistical models, relevant ML models (devices/machine acquired data), AI models and algorithms Identifies meaningful foresights based on predictive ML models from large data and metadata sources; interprets and communicates foresights, insights and findings from experiments to product managers, service managers, business partners and business managers Makes use of Rapid Development Tools (Business Intelligence Tools, Graphics Libraries, Data modelling tools) to effectively communicate research findings using visual graphics, Data Models, machine learning model features, feature engineering / transformations to relevant stakeholders Analyze, review and track trends and tools in Data Science, Machine Learning, Artificial Intelligence and IoT space Interacts with Cross-Functional teams to identify questions and issues for data engineering, machine learning models feature engineering Evaluates and makes recommendations to evolve data collection mechanism for Data capture to improve efficacy of machine learning models prediction Meets with customers, partners, product managers and business leaders to present findings, predictions, foresights; Gather customer specific requirements of business problems/processes; Identify data collection constraints and alternatives for implementation of models Working knowledge of MLOps, LLMs and Agentic AI/Workflows Programming Skills: Proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch LLM Expertise: Hands-on experience in training, fine-tuning, and deploying LLMs Foundational Model Knowledge: Strong understanding of open-weight LLM architectures, including training methodologies, fine-tuning techniques, hyperparameter optimization, and model distillation. Data Pipeline Development: Strong understanding of data engineering concepts, feature engineering, and workflow automation using Airflow or Kubeflow. Cloud & MLOps: Experience deploying ML models in cloud environments like AWS, GCP (Google Vertex AI), or Azure using Docker and Kubernetes.Designs and implementation predictive and optimisation models incorporating diverse data types strong in SQL, Azure Data Factory (ADF) Qualifications: Minimum Education: Bachelors, Master's or Ph.D. Degree in Computer Science or Engineering. Minimum Work Experience (years): 1+ years of experience programming with at least one of the following languages: Python, Scala, Go. 1+ years of experience in SQL and data transformation 1+ years of experience in developing distributed systems using open source technologies such as Spark and Dask. 1+ years of experience with relational databases or NoSQL databases running in Linux environments (MySQL, MariaDB, PostgreSQL, MongoDB, Redis). Key Skills and Competencies: Experience working with AWS / Azure / GCP environment is highly desired. Experience in data models in the Retail and Consumer products industry is desired. Experience working on agile projects and understanding of agile concepts is desired. Demonstrated ability to learn new technologies quickly and independently. Excellent verbal and written communication skills, especially in technical communications. Ability to work and achieve stretch goals in a very innovative and fast-paced environment. Ability to work collaboratively in a diverse team environment. Ability to telework Expected travel: Not expected. To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.

As a Consultant in the SALT Tax Tech team located in Bangalore, you will be responsible as an Individual Contributor reporting to the Manager to support the US region. Your work timing will be from 11:30 AM to 8:30 PM IST. Your primary role will require applying your functional and technical knowledge of SAP and third-party tax engines like Onesource/Vertex. You will need to establish and maintain relationships with business leaders, drive engagement on major tax integration projects, gather business requirements, lead analysis, and drive high-level E2E design. Additionally, you will be tasked with driving configuration and development activities to meet business requirements through internal and external teams. Managing external software vendors and System Integrators on project implementation will be essential, ensuring adherence to established SLAs. Taking a domain lead role on IT projects to ensure all business stakeholders are included and receive sufficient and timely communications is also part of your responsibilities. Your educational qualification should include a BE/B.Tech/MCA degree with 4 to 7 years of relevant work experience. Mandatory skills for this role include expertise in SAP, Onesource, Vertex, and indirect tax integration. Preferred skills encompass knowledge of indirect tax concepts and SAP native tax. Key behavioral attributes expected from you include hands-on experience in Tax Engine Integration with ERP systems, understanding of Indirect Tax Concepts, familiarity with O2C and P2P processes, and experience in tax engine configurations. Troubleshooting tax-related issues, solution design, knowledge of Avalara, and VAT compliance are also valuable assets. The interview process for this role involves 2 technical rounds followed by an HR round. This role may involve traveling, but the busy season does not apply.,

Position: Capability Lead – GCP (Director/ Enterprise Architect) Location: Chennai, Hyderabad, Bangalore or Noida (Hybrid)- No remote option available Duration: Full Time Reporting : Practice Head Budget: 30- 65 LPA (Depending on level of expertise) Notice Period: Immediate Joiner/ Currently Serving/ Notice is less than 60 days Level of experience: 12+ Years Shift Timings: 2 pm -11 pm IST. Overlap with EST time zone of 2 pm Job Summary As a key member of the Data business leadership team, the role will be responsible for building and expanding the Google Cloud Platform data and analytics capability within the organization. This individual will drive technical excellence, innovative solution development, and successful delivery of GCP-based data initiatives. The role requires close collaboration with clients, delivery teams, GCP alliance partners, and internal stakeholders to grow GCP offerings, build talent pipelines, and ensure delivery excellence. Areas of Responsibility 1. Offering and Capability Development Design and enhance GCP-based data platform offerings and accelerators Define architectural standards, best practices, and reusable components Collaborate with alliance teams to strengthen the strategic partnership. 2. Technical Leadership Provide architectural guidance for data solutions on GCP Lead solutioning for proposals, RFIs, and RFPs that involve GCP services. Conduct technical reviews to ensure alignment with GCP architecture best practices Act as the escalation point for complex architecture or engineering challenges 3. Delivery Oversight Support project delivery teams with deep technical expertise in GCP Drive project quality, performance optimization, and technical risk mitigation Ensure best-in-class delivery aligned with GCP’s security, performance, and cost standards. 4. Talent Development Build and lead a high-performing GCP data engineering and architecture team Define certification and upskilling paths aligned with GCP learning programs Mentor team members and foster a culture of technical excellence and knowledge sharing 5. Business Development Support Collaborate with sales and pre-sales teams to position solutions effectively Assist in identifying new opportunities within existing and new accounts Participate in client presentations, solution demos, and technical workshops 6. Thought Leadership and Innovation Develop whitepapers, blogs, and technical assets to showcase GCP leadership Stay current on market updates and innovations in the data engineering landscape Contribute to internal innovation initiatives and PoCs involving GCP Job Requirements 12–15 years of experience in Data Engineering & Analytics, with 3–5 years of deep GCP expertise. Proven experience leading data platforms using GCP technologies (BigQuery, Dataflow, Dataproc, Vertex AI, Looker), Containerization (Kubernetes, Docker), API-based microservices architecture, CI/CD pipelines, and infrastructure-as-code tools like Terraform Experience with tools such as DBT, Airflow, Informatica, Fivetran, and Looker/Tableau and programming skills in languages such as PySpark, Python, Java, or Scala Architectural best practices in cloud around user management, data privacy, data security, performance and other non-functional requirements Familiarity with building AI/ML models on cloud solutions built in GCP GCP certifications preferred (e.g., Professional Data Engineer, Professional Cloud Architect) Exposure to data governance, privacy, and compliance practices in cloud environments Strong presales, client engagement, and solution architecture experience Excellent communication and stakeholder management skills Prior experience in IT consulting, system integration, or technology services environment About Mastech InfoTrellis Mastech InfoTrellis is the Data and Analytics unit of Mastech Digital. At Mastech InfoTrellis, we have built intelligent Data Modernization practices and solutions to help companies harness the true potential of their data. Our expertise lies in providing timely insights from your data to make better decisions…FASTER. With our proven strategies and cutting-edge technologies, we foster intelligent decision-making, increase operational efficiency, and impact substantial business growth. With an unwavering commitment to building a better future, we are driven by the purpose of transforming businesses through data-powered innovation. (Who We Are | Mastech InfoTrellis) Mastech Digital is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. JOB Description: Senior Architect As a Senior Manager - GenAI Architect, the person will be responsible for leading and designing advanced AI architectures that drive strategic business outcomes. This role requires a deep understanding of data management, application development, AI technologies, cloud solutions, and user interface design. The person will work closely with cross-functional teams to deliver robust and scalable solutions that meet our business objectives. Key Responsibilities: Architectural Design: Develop and oversee data architectures and application frameworks that support AI initiatives. Ensure integration of data and applications with existing systems to create cohesive and efficient solutions. AI Solutions: Design and implement AI-driven models and solutions, leveraging machine learning, natural language processing, and other AI technologies to solve complex business problems. Cloud Integration: Architect cloud-based solutions that support scalability, security, and performance for AI applications. Collaborate with cloud providers and internal teams to ensure optimal cloud infrastructure. User Interface Design: Work with UI/UX teams to ensure that AI solutions have user-friendly interfaces and deliver an exceptional user experience. Leadership & Collaboration: Lead a team of architects and engineers, providing guidance and support in the development of AI solutions. Collaborate with stakeholders across departments to align technical strategies with business goals. Strategic Planning: Develop and implement architectural strategies and roadmaps that align with the company’s vision and technology advancements. Go-To-Market Strategy (GTM): Collaborate with onsite teams and senior architects in the team to define and execute go-to-market strategies for AI solutions. Provide architectural insights that align with client’s needs and support successful solution development. Innovation & Best Practices: Stay abreast of industry trends and emerging technologies to drive innovation and implement best practices in AI architecture and implementation. Qualifications: Education: Bachelor’s or Master’s degree in computer Science, engineering, Data Science, mathematics or a related field. Experience: Minimum of 3 years of experience in a senior architectural role with a focus on AI, data management, application development, and cloud technologies. Technical Skills: Hand-on experience in deploying AI/ML solutions on different cloud platforms like Azure, AWS and/or Google Cloud. Experience in using and orchestration LLM models on cloud platforms i.e., OpenAI @ Azure/AWS Bedrock/ GCP Vertex AI or Gemini AI Experience in writing SQL and data modelling. Experience in designing and implementation of AI solution using microservice based architecture. Understanding of machine learning, deep learning, NLP and GenAI. Strong programming skills in Python and/or pyspark. Proven experience in integrating authentication security measures within machine learning operations and applications. Excellent problem-solving skills and ability to connect AI capabilities to business value. Strong communication and presentation skills. Proven experience in AI/ML solution deployment process on Kubernetes, Web Apps, Databricks or on similar platforms. Familiarity with MLOps concepts and tech stack. Good to know code versioning, MLFlow, batch prediction and real-time end point workflows. Familiarity with Azure DevOps / GitHub actions/ Jenkins / Terraform / AWS CFT etc. Leadership: Demonstrated ability to lead teams, manage complex projects, and work effectively with stakeholders at all levels. Problem-Solving: Strong analytical and problem-solving skills with the ability to design innovative solutions to complex challenges. Communication: Excellent verbal and written communication skills with the ability to convey technical concepts to non-technical stakeholders EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Position Overview We are seeking a skilled Service Engineer to provide comprehensive production support for Oracle Revenue Management, Receivables, and Intercompany processes. This role requires both financial accounting expertise and technical troubleshooting capabilities to ensure revenue recognition compliance and seamless system operations. Key Responsibilities Revenue Recognition & Compliance Support ASC 606/IFRS 15 revenue recognition principles in production systems Troubleshoot and maintain Revenue Contracts, Performance Obligations, and Standalone Selling Price (SSP) calculations Resolve issues with Revenue Deferrals, Revenue Allocations, and Adjustments Ensure revenue compliance through Multi-Currency and Multi-GAAP Reporting Assist with Deferred Revenue and Unbilled Revenue Accruals processing Receive, analyze, and prioritize related support tickets Provide timely solutions to users Document resolution steps and knowledge base articles Support system upgrades and patches Monitor system performances and recommend improvements Receivables & Invoicing Support Troubleshoot Customer Invoicing, Credit Memos, and Adjustments Support AutoInvoice for importing transactions from external systems Resolve issues with Receipts Processing (Manual & Automatic), Lockbox, and Payment Matching Maintain Collections, Aging Reports, and Dunning Processes Ensure accurate Tax Calculation on AR Transactions, including integration with Vertex or Oracle Tax Intercompany Process Support Maintain Intercompany Revenue Recognition and Transfer Pricing Rules Support Intercompany Invoicing between business units using Oracle Cloud Intercompany Ensure Intercompany Netting of payables and receivables using Oracle Cloud Payables (AP) and Oracle Cloud Receivables (AR) Troubleshoot Intercompany Balancing Rules and Eliminations for accurate financial reporting Accounting & Period Close Support Reconcile AR Subledger with General Ledger (GL) Support period-end revenue recognition and receivables close processes Validate revenue and intercompany accounting follows IFRS, GAAP, and tax Requirements Technical Support Write and debug SQL queries for revenue contracts, AR transactions, intercompany transactions, and payment applications Troubleshoot AutoInvoice errors, revenue allocations, and discrepancies in accounting entries Support Revenue Management integrations with Supply Chain Financial Orchestration, Order Management, Projects, Contracts, and Intercompany Debug Receivables and Payables integrations with Billing Tax Engines, and Oracle Cloud Intercompany Work with REST/SOAP APIs for importing revenue contracts, invoices, intercompany transactions, and payments Support FBDI/ADFdi to load bulk revenue, AR, and intercompany transactions Identify and resolve slow AutoAccounting, Intercompany Processing, and Revenue Recognition Jobs Optimize large transaction processing for high-volume intercompany environments Compliance, Audit & Reporting Support tax audits on revenue transactions, intercompany transactions, and customer payments Assist with SOX Audits, ensuring approvals, controls, and documentation are maintained Prepare Revenue Recognition Reports, Deferred Revenue Reports, Intercompany Netting Reports, and Receivables Aging Reports Operational Support Utilize Oracle Support (MOS - My Oracle Support) Create and manage Service Requests (SRs) for revenue, intercompany, and AR-related issues Access Oracle Knowledge Base, Release Notes, and Patches regularly Test and coordinate testing for quarterly Oracle Cloud updates Validate changes in Revenue Recognition Rules, Intercompany Rules, SSP, and AutoInvoice configurations before deployment Assist finance, accounting, and tax teams with revenue, intercompany, and AR-related queries Document SOPs for Revenue Processing, Intercompany Netting, Invoice Adjustments, and Collections handling Required Qualifications Strong understanding of ASC 606/IFRS 15 revenue recognition principles 5+ Experience with Oracle Cloud Revenue Management, Receivables, and Intercompany modules Knowledge of AutoInvoice, Payment Processing, and Collections functionality Proficiency in SQL and data analysis for troubleshooting financial issues Experience with FBDI/ADFdi for data imports and updates - Understanding of period close processes for revenue and receivables Familiarity with SOX compliance requirements for revenue processes Experience troubleshooting integrations between financial modules Strong problem-solving skills for complex accounting issues Ability to document technical solutions and support end-users effectively This position requires a blend of revenue recognition expertise and technical troubleshooting skills to maintain critical financial systems and ensure compliance with accounting standards. Skills: intercompany processing,management,sql,oracle cloud,processing,troubleshooting,ifrs 15,collections,cloud,asc 606,adfdi,financial troubleshooting,autoinvoice,payment processing,accounting,revenue,oracle aim,oracle,data analysis,revenue recognition,compliance,fbdi

POSITION SUMMARY Zoetis, Inc. is the world's largest producer of medicine and vaccinations for pets and livestock. The Zoetis Tech & Digital (ZTD) Global ERP organization is as a key building block of ZTD comprising of enterprise applications and systems platforms. Join us at Zoetis India Capability Center (ZICC) in Hyderabad, where innovation meets excellence. As part of the world's leading animal healthcare company, ZICC is at the forefront of driving transformative advancements and applying technology to solve the most complex problems. Our mission is to ensure sustainable growth and maintain a competitive edge for Zoetis globally by leveraging the exceptional talent in India. At ZICC, you'll be part of a dynamic team that partners with colleagues worldwide, embodying the true spirit of One Zoetis. Together, we ensure seamless integration and collaboration, fostering an environment where your contributions can make a real impact. Be a part of our journey to pioneer innovation and drive the future of animal healthcare. Responsibilities: Design end-to-end SAP FICO solutions to address complex business requirements, ensuring scalability and alignment with organizational goals. Develop architecture for SAP Finance and Controlling modules, including General Ledger (GL), Accounts Payable (AP), Accounts Receivable (AR), Asset Accounting (AA), Treasury and Controlling (CO). Design. implement and manage financial strategies that leverage SAP solutions to improve efficiency, accuracy, and decision-making. Ensure financial processes comply with regulatory requirements such as IFRS, GAAP, SOX, and local statutory regulations. Lead the implementation, rollouts, and enhancements in SAP FICO modules, ensuring adherence to best practices and business requirements. Ensure seamless integration of SAP FICO with other modules (e.g., MM, SD, PP, PS) and external applications. Collaborate with technical teams to manage interfaces with third-party systems, such as Blackline, Vertex, One source. Engage with stakeholders to gather requirements, provide solutions aligned with business objectives, and implement scalable, reliable systems. Implement governance frameworks and internal controls to maintain data accuracy and integrity. Drive innovation through the adoption of advanced SAP solutions, such as Machine Learning, AI, and RPA. POSITION RESPONSIBILITIES Design end-to-end SAP FICO solutions to address complex business requirements, ensuring scalability and alignment with organizational goals. Ensure operational efficiency and meet key performance indicators (KPIs). 50% Ensure Testing-Quality Assurance, Process Optimization-Automation, Reporting-Analytics and Governance-Compliance 20% Proficiency in designing WRICEF objects, ensuring seamless cross-functional integration and efficient integration with external systems for streamlined business processes. 20% Ensure financial processes comply with regulatory requirements such as IFRS, GAAP, SOX, and local statutory regulations. 10% ORGANIZATIONAL RELATIONSHIPS Interacting with business stakeholders to gather integration requirements, understand business processes, and ensure that integration solutions align with organizational goals and objectives. Participate in project planning activities, risk assessment, and scheduling for SAP projects. Interacting with external vendors or partners who provide software or services that need to be integrated with SAP systems. Work with implementation partners who may be responsible for deploying, configuring, or maintaining integrated solutions within Zoetis IT landscape. Coordinate with developers and other members of the development team to implement integration solutions, share knowledge, and address technical challenges. EDUCATION AND EXPERIENCE Education: Ø Masters/bachelor’s degree in finance, Accounting or professional qualification Chartered Accountant / Cost accountant is required. Experience: Ø 8+ years of relevant SAP Finance and Controlling with domain experience. Ø Hands-on experience in 2 end-end S/4 Hana implementation. Ø Experience in life sciences / pharmaceuticals industry preferred. Ø Expertise in Implementation, Roll outs, enhancements, and Production Support Projects Ø Expertise in Financial Accounting (FI) modules, Tax, Statutory Reporting, Revenue Recognition and Integration with other SAP modules and external applications. Ø In-depth expertise in Product Costing, Material Ledger, Cost Center/Cost Element/Profit Center Accounting, Internal Orders, Project Systems, and COPA. Ø Experience in leading and driving Business process workshops and Fit/GAP analysis. Ø Hands on experience in identifying and working through RICEFW objects. Ø Strong analytical skills, excellent communication abilities, and a proactive approach to problem-solving Ø Hands-on experience with testing methodologies, incident/change management tools, and project documentation tools. Ø Demonstrated experience of various IT practices, international projects, including but not limited to, project management, operational service delivery, large project implementations. TECHNICAL SKILLS REQUIREMENTS Ø Expertise in Solution design, Configuration of below Finance modules and processes: Ø General Ledger, Accounts Receivable and Payable. Ø Asset Accounting, Bank Accounting Ø Inter Company transactions and reconciliations. Ø Expertise in Solution design, Configuration of below Controlling modules and processes: Ø Cost Element and Cost Center Accounting Ø Profit Center Accounting and Margin Analysis Ø Production Costing and Material Ledger Ø Intercompany Processes Ø Knowledge/Working experience in processes and edge systems: Ø e-accounting and e-Invoicing (DRC) Ø External Tax Engines (Vertex, One Source) Ø Lease and Service Management Ø Hands on experience in identifying and working through FICO User Exits, BAPIs, Function Modules and directing ABAP developers. PHYSICAL POSITION REQUIREMENTS Regular working hours are from 3:00 PM to 12:00 AM EST (ICC Second Shift). Sometimes, more overlap with the EST Time zone is required during production go-live. Full time

Position Overview We are seeking a skilled Service Engineer to provide comprehensive production support for Oracle Revenue Management, Receivables, and Intercompany processes. This role requires both financial accounting expertise and technical troubleshooting capabilities to ensure revenue recognition compliance and seamless system operations. Key Responsibilities Revenue Recognition & Compliance Support ASC 606/IFRS 15 revenue recognition principles in production systems Troubleshoot and maintain Revenue Contracts, Performance Obligations, and Standalone Selling Price (SSP) calculations Resolve issues with Revenue Deferrals, Revenue Allocations, and Adjustments Ensure revenue compliance through Multi-Currency and Multi-GAAP Reporting Assist with Deferred Revenue and Unbilled Revenue Accruals processing Receive, analyze, and prioritize related support tickets Provide timely solutions to users Document resolution steps and knowledge base articles Support system upgrades and patches Monitor system performances and recommend improvements Receivables & Invoicing Support Troubleshoot Customer Invoicing, Credit Memos, and Adjustments Support AutoInvoice for importing transactions from external systems Resolve issues with Receipts Processing (Manual & Automatic), Lockbox, and Payment Matching Maintain Collections, Aging Reports, and Dunning Processes Ensure accurate Tax Calculation on AR Transactions, including integration with Vertex or Oracle Tax Intercompany Process Support Maintain Intercompany Revenue Recognition and Transfer Pricing Rules Support Intercompany Invoicing between business units using Oracle Cloud Intercompany Ensure Intercompany Netting of payables and receivables using Oracle Cloud Payables (AP) and Oracle Cloud Receivables (AR) Troubleshoot Intercompany Balancing Rules and Eliminations for accurate financial reporting Accounting & Period Close Support Reconcile AR Subledger with General Ledger (GL) Support period-end revenue recognition and receivables close processes Validate revenue and intercompany accounting follows IFRS, GAAP, and tax Requirements Technical Support Write and debug SQL queries for revenue contracts, AR transactions, intercompany transactions, and payment applications Troubleshoot AutoInvoice errors, revenue allocations, and discrepancies in accounting entries Support Revenue Management integrations with Supply Chain Financial Orchestration, Order Management, Projects, Contracts, and Intercompany Debug Receivables and Payables integrations with Billing Tax Engines, and Oracle Cloud Intercompany Work with REST/SOAP APIs for importing revenue contracts, invoices, intercompany transactions, and payments Support FBDI/ADFdi to load bulk revenue, AR, and intercompany transactions Identify and resolve slow AutoAccounting, Intercompany Processing, and Revenue Recognition Jobs Optimize large transaction processing for high-volume intercompany environments Compliance, Audit & Reporting Support tax audits on revenue transactions, intercompany transactions, and customer payments Assist with SOX Audits, ensuring approvals, controls, and documentation are maintained Prepare Revenue Recognition Reports, Deferred Revenue Reports, Intercompany Netting Reports, and Receivables Aging Reports Operational Support Utilize Oracle Support (MOS - My Oracle Support) Create and manage Service Requests (SRs) for revenue, intercompany, and AR-related issues Access Oracle Knowledge Base, Release Notes, and Patches regularly Test and coordinate testing for quarterly Oracle Cloud updates Validate changes in Revenue Recognition Rules, Intercompany Rules, SSP, and AutoInvoice configurations before deployment Assist finance, accounting, and tax teams with revenue, intercompany, and AR-related queries Document SOPs for Revenue Processing, Intercompany Netting, Invoice Adjustments, and Collections handling Required Qualifications Strong understanding of ASC 606/IFRS 15 revenue recognition principles 5+ Experience with Oracle Cloud Revenue Management, Receivables, and Intercompany modules Knowledge of AutoInvoice, Payment Processing, and Collections functionality Proficiency in SQL and data analysis for troubleshooting financial issues Experience with FBDI/ADFdi for data imports and updates - Understanding of period close processes for revenue and receivables Familiarity with SOX compliance requirements for revenue processes Experience troubleshooting integrations between financial modules Strong problem-solving skills for complex accounting issues Ability to document technical solutions and support end-users effectively This position requires a blend of revenue recognition expertise and technical troubleshooting skills to maintain critical financial systems and ensure compliance with accounting standards. Skills: intercompany processing,management,sql,oracle cloud,processing,troubleshooting,ifrs 15,collections,cloud,asc 606,adfdi,financial troubleshooting,autoinvoice,payment processing,accounting,revenue,oracle aim,oracle,data analysis,revenue recognition,compliance,fbdi

Role : AI Research Engineer Industry Type : IT & Development Department: Xtec Global | Research & Development Employment Type : Full Time, Permanent Experience : Fresher Location: Rudra Tower, Plot NO. F-163, Phase 8B, Industrial Area, Sector 74, Sahibzada Ajit Singh Nagar, Punjab 140308, India About Company At Xtec Global, we are on a mission to build intelligent, efficient, and scalable systems that empower teams through AI innovation. We’re looking for a curious and analytically strong AI Research Engineer (Trainee) who is excited to explore the latest AI tools and technologies, conduct real-world research, and support development teams by keeping them up to date with the ever-evolving AI ecosystem. Responsibility Work closely with Project Managers to understand product requirements and contribute to planning and development strategies Research and evaluate AI tools, APIs, and frameworks (e.g., OpenAI, Hugging Face, LangChain, Claude, Gemini, Vertex AI) and recommend the most suitable options for team use. Share findings with the development team and train or guide them on how to implement these tools effectively Collaborate with senior researchers and engineers to design, prototype, and test new AI-driven features Evaluate and fine-tune AI models for performance, reliability, and practical use in code generation and analysis Integrate and test AI components within existing product infrastructure in collaboration with product and engineering teams Track and analyse AI trends, adapt state-of-the-art public research into working prototypes, and contribute to internal R&D knowledge base Continuously propose innovative applications of AI to enhance development workflows and reduce manual effort Required Skills & Qualifications Bachelor’s degree (or final-year student) in Computer Science, Artificial Intelligence, Data Science, or a related technical field Strong analytical thinking and a passion for solving complex problems Excellent research skills with the ability to analyze, summarize, and present findings clearly Team-oriented mindset with the ability to collaborate, mentor peers, and communicate ideas effectively A fast learner who keeps up with the latest advancements in AI and technology What You’ll Gain Exposure to real-world AI product development Opportunity to lead and influence tech decisions through tool evaluation A learning culture focused on growth, innovation, and real impact Apply:- sidakpreet@xtecglobal.com Contact:- 82880 19766 Job Types: Full-time, Permanent Pay: ₹8,000.00 - ₹12,000.00 per year Schedule: Day shift Work Location: In person

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. Looking for a company that inspires passion, courage and creativity, where you can be on the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to crafting an ambitious and inclusive work environment, join eBay – a company you can be proud to be with. Our Recommendations team works on delivering recommendations at scale and in near real time to our buyers on our website and native app platforms. Recommendations are a core part of how our buyers navigate eBay’s vast and varied inventory. Our team develops state-of-the-art recommendations systems, including deep learning based retrieval systems for personalized recommendations, machine learned ranking models, GenAI/LLM powered recommendations, as well as advanced MLOps in a high volume traffic industrial e-commerce setting. We are building cutting edge recommender systems powered by the latest ML, NLP, LLM/GenAI/RAG and AI technologies. Additionally, we are building production integrations with Google GCP Vertex AI platforms to supercharge our item recommendation algorithms. Come join our innovative engineering and applied research team! This is an opportunity to: Influence how people will interact with eBay’s recommender systems in the future, and how recommender systems technology will evolve Work with unique and large data sets of unstructured multimodal data representing eBay's vast and varied inventory, including billions of items and millions of users Develop and deploy state-of-the-art AI models to production which have direct measurable impact on eBay buyers Deploy big data technology and large scale data pipelines Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations Qualifications: MS in Computer Science or related area with 6 years of relevant work experience (or BS/BA with 8 years) in Engineering / Machine Learning / AI Experience building large scale distributed applications and expertise in any OO language (Scala, Java, etc.) Experience building with no sql databases and key value stores (MongoDB, Redis, etc) Generalist with a can do attitude and willingness to learn/pick up new skill sets as needed Experience with using cloud services is a plus (GCP is a double plus) Experience with big data pipelines (Hadoop, Spark) is a plus Experience in AI applied research and industrial recommendation systems is a plus Experience with Large Language Models (LLMs) and prompt engineering is a plus Links to some of our previous work: Tech Blog 2025 (Multimodal GenAI) Tech Blog 2025 (GenAI Agentic Platform) RecSys 2024 Workshop paper Google Cloud Blog 2024 eBay Tech Blog 2023 eBay Tech Blog 2022 RecSys 2021 paper Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

Key Responsibilities: Identify, define, and deliver AI/ML and GenAI use cases in collaboration with business and technical stakeholders Design, develop, and deploy models using Google Cloud’s Vertex AI platform Fine-tune and evaluate Large Language Models (LLMs) for domain-specific applications Ensure responsible AI practices and governance in solution delivery Collaborate with data engineers and architects to ensure robust and scalable pipelines Document workflows and experiments for reproducibility and handover readiness Apply strong knowledge in supervised, unsupervised, and reinforcement learning Utilize Vertex AI features including AutoML, Pipelines, Model Registry, and Generative AI Studio Work on GenAI workflows: prompt engineering, fine-tuning, and model evaluation Develop in Python using ML frameworks like TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers Communicate and collaborate across product, data, and business teams Required Skills: Hands-on experience with Vertex AI on GCP – model training, deployment, endpoint management, MLOps Practical knowledge of PaLM, Gemini, or other LLMs via Vertex AI or open-source Proficiency in Python for ML pipeline scripting, data preprocessing, and evaluation Expertise in ML/GenAI libraries: scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain Exposure to CI/CD for ML, containerization using Docker/Kubernetes Familiarity with GCP services like BigQuery, Cloud Functions, Cloud Storage Experience with media datasets and real-world ML applications in OTT, DTH, Web platforms Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields 3+ years of hands-on experience in ML/AI or GenAI projects Any relevant certifications in ML, GCP, or GenAI technologies are a plus

If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere. Who we are: ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of the industry and we want you to join us on our journey. Our network of brands include ACV Auctions, ACV Transportation, ClearCar, MAX Digital and ACV Capital within its Marketplace Products, as well as, True360 and Data Services. ACV Auctions in Chennai, India are looking for talented individuals to join our team. As we expand our platform, we're offering a wide range of exciting opportunities across various roles in corporate, operations, and product and technology. Our global product and technology organization spans product management, engineering, data science, machine learning, DevOps and program leadership. What unites us is a deep sense of customer centricity, calm persistence in solving hard problems, and a shared passion for innovation. If you're looking to grow, lead, and contribute to something larger than yourself, we'd love to have you on this journey. Let's build something extraordinary together. Join us in shaping the future of automotive! At ACV we focus on the Health, Physical, Financial, Social and Emotional Wellness of our Teammates and to support this we offer industry leading benefits and wellness programs. What you will do: ACV’s Machine Learning (ML) team is looking to grow its MLOps team. Multiple ACV operations and product teams rely on the ML team’s solutions. Current deployments drive opportunities in the marketplace, in operations, and sales, to name a few. As ACV has experienced hyper growth over the past few years, the volume, variety, and velocity of these deployments has grown considerably. Thus, the training, deployment, and monitoring needs of the ML team has grown as we’ve gained traction. MLOps is a critical function to help ourselves continue to deliver value to our partners and our customers. Successful candidates will demonstrate excellent skill and maturity, be self-motivated as well as team-oriented, and have the ability to support the development and implementation of end-to-end ML-enabled software solutions to meet the needs of their stakeholders. Those who will excel in this role will be those who listen with an ear to the overarching goal, not just the immediate concern that started the query. They will be able to show their recommendations are contextually grounded in an understanding of the practical problem, the data, and theory as well as what product and software solutions are feasible and desirable. The core responsibilities of this role are: Working with fellow machine learning engineers to build, automate, deploy, and monitor ML applications. Developing data pipelines that feed ML models. Deploy new ML models into production. Building REST APIs to serve ML models predictions. Monitoring performance of models in production. Required Qualifications: Graduate education in a computationally intensive domain or equivalent work experience. 5+ years of prior relevant work or lab experience in ML projects/research Advanced proficiency with Python, SQL etc. Experience with building and deploying REST APIs (FastAPI, Flask) Experience with distributed caching technologies (Redis) Experience with real-time data streaming and processing (Kafka) Experience with cloud services (AWS / GCP) and kubernetes, docker, CI/CD. Preferred Qualifications: Experience with MLOps-specific tooling like Vertex AI, Ray, Feast, Kubeflow, or MLFlow, etc. are a plus. Experience with building data pipelines Experience with training ML models Our Values Trust & Transparency | People First | Positive Experiences | Calm Persistence | Never Settling At ACV, we are committed to an inclusive culture in which every individual is welcomed and empowered to celebrate their true selves. We achieve this by fostering a work environment of acceptance and understanding that is free from discrimination. ACV is committed to being an equal opportunity employer regardless of sex, race, creed, color, religion, marital status, national origin, age, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires reasonable accommodation, please let us know. Data Processing Consent When you apply to a job on this site, the personal data contained in your application will be collected by ACV Auctions Inc. and/or one of its subsidiaries ("ACV Auctions"). By clicking "apply", you hereby provide your consent to ACV Auctions and/or its authorized agents to collect and process your personal data for purpose of your recruitment at ACV Auctions and processing your job application. ACV Auctions may use services provided by a third party service provider to help manage its recruitment and hiring process. For more information about how your personal data will be processed by ACV Auctions and any rights you may have, please review ACV Auctions' candidate privacy notice here. If you have any questions about our privacy practices, please contact datasubjectrights@acvauctions.com.

Job Information Date Opened 07/11/2025 City Saidapet Country India Job Role AI/ML Engineering State/Province Tamil Nadu Industry IT Services Job Type Full time Zip/Postal Code 600096 Job Description Introduction to the Role: Are you passionate about building intelligent systems that learn, adapt, and deliver real-world value? Join our high-impact AI & Machine Learning Engineering team and be a key contributor in shaping the next generation of intelligent applications. As an AI/ML Engineer , you’ll have the unique opportunity to develop, deploy, and scale advanced ML and Generative AI (GenAI) solutions in production environments, leveraging cutting-edge technologies, frameworks, and cloud platforms . In this role, you will collaborate with cross-functional teams including data engineers, product managers, MLOps engineers, and architects to design and implement production-grade AI solutions across domains. If you're looking to work at the intersection of deep learning, GenAI, cloud computing, and MLOps — this is the role for you. Accountabilities: Design, develop, train, and deploy production-grade ML and GenAI models across use cases including NLP, computer vision, and structured data modeling. Leverage frameworks such as TensorFlow , Keras , PyTorch , and LangChain to build scalable deep learning and LLM-based solutions. Develop and maintain end-to-end ML pipelines with reusable, modular components for data ingestion, feature engineering, model training, and deployment. Implement and manage models on cloud platforms such as AWS , GCP , or Azure using services like SageMaker , Vertex AI , or Azure ML . Apply MLOps best practices using tools like MLflow , Kubeflow , Weights & Biases , Airflow , DVC , and Prefect to ensure scalable and reliable ML delivery. Incorporate CI/CD pipelines (using Jenkins, GitHub Actions, or similar) to automate testing, packaging, and deployment of ML workloads. Containerize applications using Docker and orchestrate scalable deployments via Kubernetes . Integrate LLMs with APIs and external systems using LangChain, Vector Databases (e.g., FAISS, Pinecone), and prompt engineering best practices. Collaborate closely with data engineers to access, prepare, and transform large-scale structured and unstructured datasets for ML pipelines. Build monitoring and retraining workflows to ensure models remain performant and robust in production. Evaluate and integrate third-party GenAI APIs or foundational models where appropriate to accelerate delivery. Maintain rigorous experiment tracking, hyperparameter tuning, and model versioning. Champion industry standards and evolving practices in ML lifecycle management , cloud-native AI architectures , and responsible AI. Work across global, multi-functional teams, including architects, principal engineers, and domain experts. Essential Skills / Experience: 4–7 years of hands-on experience in developing, training, and deploying ML/DL/GenAI models . Strong programming expertise in Python with proficiency in machine learning , data manipulation , and scripting . Demonstrated experience working with Generative AI models and Large Language Models (LLMs) such as GPT, LLaMA, Claude, or similar. Hands-on experience with deep learning frameworks like TensorFlow , Keras , or PyTorch . Experience in LangChain or similar frameworks for LLM-based app orchestration. Proven ability to implement and scale CI/CD pipelines for ML workflows using tools like Jenkins , GitHub , GitLab , or Bitbucket Pipelines . Familiarity with containerization (Docker) and orchestration tools like Kubernetes . Experience working with cloud platforms (AWS, Azure, GCP) and relevant AI/ML services such as SageMaker , Vertex AI , or Azure ML Studio . Knowledge of MLOps tools such as MLflow , Kubeflow , DVC , Weights & Biases , Airflow , and Prefect . Strong understanding of data engineering concepts , including batch/streaming pipelines, data lakes, and real-time processing (e.g., Kafka ). Solid grasp of statistical modeling , machine learning algorithms , and evaluation metrics. Experience with version control systems (Git) and collaborative development workflows. Ability to translate complex business needs into scalable ML architectures and systems. Desirable Skills / Experience: Working knowledge of vector databases (e.g., FAISS , Pinecone , Weaviate ) and semantic search implementation. Hands-on experience with prompt engineering , fine-tuning LLMs, or using techniques like LoRA , PEFT , RLHF . Familiarity with data governance , privacy , and responsible AI guidelines (bias detection, explainability, etc.). Certifications in AWS, Azure, GCP, or ML/AI specializations. Experience in high-compliance industries like pharma , banking , or healthcare . Familiarity with agile methodologies and working in iterative, sprint-based teams. Work Environment & Collaboration: You will be a key member of an agile, forward-thinking AI/ML team that values curiosity, excellence, and impact. Our hybrid work culture promotes flexibility while encouraging regular in-person collaboration to foster innovation and team synergy. You'll have access to the latest technologies, mentorship, and continuous learning opportunities through hands-on projects and professional development resources. Why Join Us? Build and deploy cutting-edge LLM and GenAI applications that solve real-world problems Collaborate with thought leaders across engineering, product, and data science Work in a dynamic, cloud-native, and automation-driven AI environment Accelerate your growth through certification programs and continuous learning Be part of an innovation-first team that values openness, agility, and integrity About Agilisium - Agilisium, is an AWS technology Advanced Consulting Partner that enables companies to accelerate their "Data-to-Insights-Leap. With $25+ million in annual revenue and over 40% year-over-year growth, Agilisium is one of the fastest-growing IT solution providers in Southern California. Our most important asset? People. Talent management plays a vital role in our business strategy. We’re looking for “drivers”; big thinkers with growth and strategic mindset — people who are committed to customer obsession, aren’t afraid to experiment with new ideas. And we are all about finding and nurturing individuals who are ready to do great work. At Agilisium, you’ll collaborate with great minds while being challenged to meet and exceed your potential

Company Description Aestriks is a full-service software development company headquartered in Delhi NCR, India. We specialize in building scalable, reliable web, mobile, and backend systems for startups, enterprises, and side hustlers. Role Description Experience - 1-5 years AI/ML engineering (even freshers can apply) This is a full-time on-site role for an Artificial Intelligence Engineer, located in New Delhi. The AI Engineer will be responsible for designing, developing, and implementing AI-based solutions. Core Technologies: Python, SQL PyTorch or TensorFlow LangChain or LlamaIndex Hugging Face ecosystem (Transformers, PEFT, Datasets) Vector databases (Pinecone, Qdrant, Chroma) Cloud platforms (AWS Bedrock/SageMaker, GCP Vertex AI, or Azure OpenAI) LLM/GenAI Stack: Fine-tuning techniques (LoRA, QLoRA) RAG implementation and optimization LLM APIs (OpenAI, Anthropic, Google Gemini) Embedding models and similarity search Evaluation frameworks (DeepEval, LLM-as-a-Judge) MLOps tools (MLflow, Weights & Biases) Qualifications Proficiency in Pattern Recognition and Neural Networks Strong background in Computer Science and Software Development Experience with Natural Language Processing (NLP) technologies Excellent problem-solving and analytical skills Bachelor’s or Master’s degree in Computer Science, Engineering, or related field Understanding of data structures and algorithms Ability to work collaboratively in a team environment Experience in the software development lifecycle is a plus