842 Vertex Jobs

Hi all , We are looking for a role of Vertex Tax consultant Experience : 9 - 12 years NP : immediate - 15 days Location : Bengaluru Job Description VERTEX (Tax engine) with SAP basic knowledge Technical Skill sets: VERTEX (Tax engine) Evaluate and modify current vertex configuration for business units for efficiency and accuracy in post Go-live environment Expert in maintenance of ongoing changes in rules, rates & taxability logic for the SAP ERP system. Expert in creation pof custom tax rules based on business requirements Must have experience in the Integration of Vertex to SAP S/4 HANA Should have good experience withholding tax (TDS) and VAT. Should have good experience on interfaces with third party systems. Mapping of product groups to vertex defined tax matrix for standard goods/services Resolve technical issues related to hierarchy of tax assist rules and vertex look-up tables and update RICEF documentation Provide technical guidance for development and coding for industry specific excise tax processing, compliance and reporting Develop test case scenarios for regression testing cycle and tracking outcomes Troubleshoot outstanding issues with vertex returns Must have experience in the VAT calculation for every sales/purchases transaction in real time SAP: Basic knowledge in SAP tax codes, procedure, conditions Knowledge on Sales tax, purchase tax, withholding tax with SAP system General knowledge and tools: Excellent communication & strong collaboration skills Flexible to adapt to fast changing environment and self-motivated Creating technical design specifications to ensure compliance with the functional teams and IT Management Analytical thinking, high level of comprehension and independent working style Seeking candidates who are flexible and willing to work on shifts as required

Core Technology: Machine Learning Level: 6+ Years Primary Skills: Google Vertex AI, Python Secondary Skills: ML Models, Gcp Open Positions: 2 Job Location: Hyderabad Work Mode: Remote Deployment Type: Full Time Job Description Primary Skills Required: Strong understanding of MLOps practices Hands-on experience in deploying and productionizing ML models Proficient in Python Experience with Google Vertex AI Solid knowledge of machine learning algorithms such as: XGBoost Classification models BigQuery ML (BQML) Key Responsibilities: Design, build, and maintain ML infrastructure on GCP using tools such as Vertex AI, GKE, Dataflow, BigQuery, and Cloud Functions. Develop and automate ML pipelines for model training, validation, deployment, and monitoring using tools like Kubeflow Pipelines, TFX, or Vertex AI Pipelines. Work with Data Scientists to productionize ML models and support experimentation workflows. Implement model monitoring and alerting for drift, performance degradation, and data quality issues. Manage and scale containerized ML workloads using Kubernetes (GKE) and Docker. Set up CI/CD workflows for ML using tools like Cloud Build, Bitbucket, Jenkins, or similar. Ensure proper security, versioning, and compliance across the ML lifecycle. Maintain documentation, artifacts, and reusable templates for reproducibility and auditability. Having GCP MLE Certification is Plus. Job Types: Full-time, Permanent, Fresher Schedule: Day shift Morning shift Application Question(s): Do you have the Hands-on experience in deploying and productionizing ML models? Are you proficient in python? Do you have experience with Google Vertex AI? Do you have Solid knowledge of machine learning algorithms such as: XGBoost Classification models BigQuery ML (BQML) ? Work Location: In person

Machine Learning Architect Location: Pune & Remote Experience: 8+ Years Job Summary: We are hiring a Machine Learning Architect with expertise in cloud-native ML deployment, optimization using Gurobi, and advanced decision systems on Google Cloud. Key Responsibilities: Design scalable ML solutions using GCP (Vertex AI, AutoML) Develop optimization models using Gurobi and Google OR Build automated ML pipelines Collaborate with business and engineering teams Qualifications: Bachelor's/Master’s in Computer Science, AI, or Data Science 5+ years in ML architecture Proficient in TensorFlow, PyTorch, Gurobi, BigQuery, Apache Spark Preferred: PhD or experience in Reinforcement Learning MLOps & CI/CD pipelines familiarity Apply Now! Job Types: Full-time, Permanent Pay: ₹2,160,000.00 - ₹2,280,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): What is your current CTC? What is your expected CTC? What is your official notice period/last working day? Experience: Total: 8 years (Required) ML Architecture: 5 years (Required) Work Location: In person

Pune / Trivandrum India Technology Full time 6/28/2025 J00167686 Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. We are looking for a Site Reliability Engineer (SRE) with a strong background in Google Cloud Platform (GCP), Google BI and AI/ML tools (Looker, BigQuery ML, Vertex AI, etc.). The ideal candidate will be responsible for ensuring the reliability, performance, and scalability of our on-premises and cloud-based systems along with focus on reducing costs for Google Cloud. What you’ll do Work in a DevSecOps environment responsible for the building and running of large-scale, massively distributed, fault-tolerant systems. Work closely with development and operations teams to build highly available, cost effective systems with extremely high uptime metrics. Work with cloud operations team to resolve trouble tickets, develop and run scripts, and troubleshoot Create new tools and scripts designed for auto-remediation of incidents and establishing end-to-end monitoring and alerting on all critical aspects Build infrastructure as code (IAC) patterns that meet security and engineering standards using one or more technologies (Terraform, scripting with cloud CLI, and programming with cloud SDK). Participate in a team of first responders in a 24/7 environment, follow the sun operating model for incident and problem management What experience you need BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent job experience required 2-5 years of experience in software engineering, systems administration, database administration, and networking. 1+ years of experience developing and/or administering software in public cloud Experience in monitoring infrastructure and application uptime and availability to ensure functional and performance objectives. Experience in languages such as Python, Bash, Java, Go JavaScript and/or node.js Demonstrable cross-functional knowledge with systems, storage, networking, security and databases System administration skills, including automation and orchestration of Linux/Windows using Terraform, Chef, Ansible and/or containers (Docker, Kubernetes, etc.) Proficiency with continuous integration and continuous delivery tooling and practices Cloud Certification Strongly Preferred What could set you apart You have experience designing, analyzing and troubleshooting large-scale distributed systems. You take a system problem-solving approach, coupled with strong communication skills and a sense of ownership and drive You have experience managing Infrastructure as code via tools such as Terraform or CloudFormation You are passionate for automation with a desire to eliminate toil whenever possible You’ve built software or maintained systems in a highly secure, regulated or compliant industry You thrive in and have experience and passion for working within a DevOps culture and as part of a team We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks. Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference! Who is Equifax? At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence. We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best. Equifax 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 status as a protected veteran.

Openings For Sr. Electrical Design Engineer Organization Name M/s Vertex Power Controls Pvt. Ltd.(A unit of Vertex Group) Email address hrautomation@vertexgroups.in Phone no. 7065080197 Designation Electrical Design Engineer Experience Should have 2 to 3 years experience in Electrical Panel Designing(HT, LT or Instrumentation Panels) on E-Plan Software Qualifications BE/ Diploma/ B.Tech Electricals/Electronics&Communication Notice Period 1 Months Job Location Site C, Surajpur Industrial Area, Greater Noida Salary CTC 3 - 3.5 LPA Interview Process 2 Rounds Application Software skill E-Plan Software Mendatory skill Should have knowledge of Design on E-Plan from scratch of control Panel,MCC, PCC, PLC Panels,VFD Panels, SLD, HT Panels, LT Panels etc. Sr. Design Engineer (Electrical) Ø Preparation of drawings for plant general arrangements, power single line diagrams, P&IDs, control system architecture drawings, and instrument and I/O schedules Ø Production of documentation, including user requirement specifications/control philosophies, tender documentation (including particular electrical and ICA specifications), schedules of prices and engineer's estimates Ø To support of factory and site acceptance tests provide technical advice and guidance. Ø Act as a change agent, thinking “out of the box” to bring about change and innovation. Ø To assist proposal team for making offer Ø Work within the Company New Product Development (NPD) process Ø Prepare designs and related documents in accordance with requirements, established formats and general instructions. Ø Designs products or modifies existing products using experience and knowledge of product applications and company standards. Ø Assures that product documentation meets quality requirements. Ø Provide discipline engineering support to manufacturing, when needed. Job Type: Full-time Work Location: In person

Job Description Experience in SonarQube, CICD, Tekton, terraform, GCS, GCP Looker, Google cloud build, cloud run, Vertex AI, Airflow, TensorFlow, etc., Experience in Train, Build and Deploy ML, DL Models Experience in HuggingFace, Chainlit, React Ability to understand technical, functional, non-functional, security aspects of business requirements and delivering them end-to-end. Ability to adapt quickly with opensource products & tools to integrate with ML Platforms Building and deploying Models (Scikit learn, TensorFlow PyTorch, etc.) Developing and deploying On-Prem & Cloud environments Kubernetes, Tekton, OpenShift, Terraform, Vertex AI Experience in LLM models like PaLM, GPT4, Mistral (open-source models), Work through the complete lifecycle of Gen AI model development, from training and testing to deployment and performance monitoring. Developing and maintaining AI pipelines with multimodalities like text, image, audio etc. Have implemented in real-world Chat bots or conversational agents at scale handling different data sources. Experience in developing Image generation/translation tools using any of the latent diffusion models like stable diffusion, Instruct pix2pix. Expertise in handling large scale structured and unstructured data. Efficiently handled large-scale generative AI datasets and outputs. Familiarity in the use of Docker tools, pipenv/conda/poetry env Comfort level in following Python project management best practices (use of cxzsetup.py, logging, pytests, relative module imports,sphinx docs,etc.,) Familiarity in use of Github (clone, fetch, pull/push, raising issues and PR, etc.,) High familiarity in the use of DL theory/practices in NLP applications Comfort level to code in Huggingface, LangChain, Chainlit, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas Comfort level to use two/more of open source NLP modules like SpaCy, TorchText, fastai.text, farm-haystack, and others Knowledge in fundamental text data processing (like use of regex, token/word analysis, spelling correction/noise reduction in text, segmenting noisy unfamiliar sentences/phrases at right places, deriving insights from clustering, etc.,) Have implemented in real-world BERT/or other transformer fine-tuned models (Seq classification, NER or QA) from data preparation, model creation and inference till deployment Use of GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI, Good working knowledge on other open source packages to benchmark and derive summary Experience in using GPU/CPU of cloud and on-prem infrastructures Skillset to leverage cloud platform for Data Engineering, Big Data and ML needs. Use of Dockers (experience in experimental docker features, docker-compose, etc.,) Familiarity with orchestration tools such as airflow, Kubeflow Experience in CI/CD, infrastructure as code tools like terraform etc. Kubernetes or any other containerization tool with experience in Helm, Argoworkflow, etc., Ability to develop APIs with compliance, ethical, secure and safe AI tools. Good UI skills to visualize and build better applications using Gradio, Dash, Streamlit, React, Django, etc., Deeper understanding of javascript, css, angular, html, etc., is a plus. Responsibilities Design NLP/LLM/GenAI applications/products by following robust coding practices, Explore SoTA models/techniques so that they can be applied for automotive industry usecases Conduct ML experiments to train/infer models; if need be, build models that abide by memory & latency restrictions, Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools Showcase NLP/LLM/GenAI applications in the best way possible to users through web frameworks (Dash, Plotly, Streamlit, etc.,) Converge multibots into super apps using LLMs with multimodalities Develop agentic workflow using Autogen, Agentbuilder, langgraph Build modular AI/ML products that could be consumed at scale. Qualifications Bachelor’s or Master’s Degree in Computer Science, Engineering, Have undergone any modern NLP/LLM courses or participation in open competitions are added advantage.

Area(s) of responsibility We’re looking for a GCP Cloud Data & AI Practice Architect to join our team - a practitioner who accelerates outcomes, affects positive change, and moves business forward. Let’s partner. Together, we can accomplish amazing things. Position Overview The GCP Cloud Data & AI Practice Architect possesses 5+ years of experience developing and architecting with GCP solutions and 10+ years in the Machine Learning, Advanced Analytics, Data Engineering and Data Governance. This position is responsible for the development of data and AI solutions utilizing Google Cloud Data services. The candidate must be well versed in multiple cloud platforms and be a motivated technologist with a proven track record of delivering results in software/technology consulting. Responsibilities Technical liaising between customers, development & support teams for Data & AI Lead the design, architecture, and implementation of data pipelines and systems on Google Cloud Platform. This includes leveraging services like BigQuery, Dataflow, Cloud Storage, Vertex AI, Gemini, and others for efficient data ingestion, transformation, and storage. Hands on experience in building proof of concepts (POCs) to actively demonstrate GCP Data and AI stack across several enterprise customers Architect and implement hands Distributed ML, High Volume Data into Google Cloud Participating in architectural discussions to build confidence and ensure customer success when building new and migrating existing applications, software, and services on the GCP platform Conducting deep-dive “hands-on” education/training sessions to transfer knowledge to customers considering, or already using GCP TEKsystems Global Services as the partner of choice for GCP solution implementation Support Sales and Pre-Sales to convert opportunity to revenue through thought leadership Drive consensus across cross functional team to deliver Google Cloud Data & AI engagements Must have skills : GCP , Gen AI , LLM , Big Query, Dataflow, Cloud Storage, Vertex AI,

About Position: We are seeking a highly skilled GCP Data and AI Solution Specialist with over 8 years of experience in pre-sales, solution architecture, and development, specializing in Google Cloud Platform (GCP) technologies. The ideal candidate will hold all relevant Google Cloud certifications and possess expertise in AI agent development, data engineering, and delivering end-to-end cloud-based solutions. This role involves collaborating with cross-functional teams, engaging with clients in pre-sales activities, and designing scalable, innovative data and AI solutions to meet business needs. Role: GCP Data & AI Solution Specialist Location: Delhi/Mumbai/Bangalore Experience: 8+ Yrs. Job Type: Full Time Employment What You'll Do: Solution Design & Architecture: Design and implement scalable, secure, and high-performance data and AI solutions on GCP, leveraging services like BigQuery, Dataflow, Vertex AI, and Cloud AI Platform. Pre-Sales Support: Collaborate with sales teams to develop compelling proposals, presentations, and proof-of-concepts (PoCs) for clients, showcasing GCP’s data and AI capabilities. AI Agent Development: Build and deploy intelligent AI agents using GCP’s AI/ML tools, including natural language processing (NLP), computer vision, and generative AI models. Client Engagement: Act as a trusted advisor to clients, understanding their business requirements and translating them into technical solutions. Development & Implementation: Lead end-to-end development of data pipelines, machine learning models, and AI-driven applications, ensuring alignment with best practices and client expectations. Technical Leadership: Mentor junior team members, provide technical guidance, and stay updated with the latest GCP advancements. Cross-Functional Collaboration: Work with product managers, engineers, and stakeholders to ensure seamless project delivery and integration with existing systems. Optimization & Performance: Optimize data workflows, AI models, and cloud infrastructure for cost-efficiency, scalability, and performance. Compliance & Security: Ensure solutions adhere to industry standards, data privacy regulations, and GCP security best practices. Expertise You'll Bring: Experience: Minimum of 8+ years in pre-sales, solution architecture, and development, with at least 5 years focused on GCP data and AI solutions. Certifications: Must hold relevant Google Cloud certifications, including: Google Cloud Professional Data Engineer . Google Cloud Professional Machine Learning Engineer. Google Cloud Professional Cloud Architect Additional certifications (e.g., Professional Cloud Developer, Professional Cloud DevOps Engineer) are a plus. Technical Skills: Expertise in GCP services: BigQuery, Dataflow, Dataproc, Vertex AI, AI Platform, Cloud Storage, and Pub/Sub. Proficiency in AI/ML frameworks (e.g., TensorFlow, PyTorch) and experience building AI agents (e.g., chatbots, recommendation systems). Strong programming skills in Python, SQL, and Java/Scala for data processing and model development. Experience with data pipeline tools (e.g., Apache Beam, Airflow) and ETL processes. Knowledge of CI/CD pipelines, Kubernetes, and containerization for deploying AI solutions. Pre-Sales Experience : Proven track record in client-facing roles, including creating technical proposals, conducting demos, and leading PoCs. Soft Skills: Excellent communication and presentation skills to articulate complex technical concepts to non-technical stakeholders. Strong problem-solving skills and ability to work in a fast-paced, dynamic environment. Leadership and mentoring capabilities to guide teams and drive project success. Domain Knowledge: Familiarity with industries such as finance, healthcare, retail, or manufacturing is a plus. Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry’s best Let’s unleash your full potential at Persistent “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

We are looking for an experienced Data Scientist with strong expertise in Machine Learning and Generative AI (GenAI). The candidate will work closely with Product, Engineering, and Business teams to build and deploy AI/ML models, particularly leveraging the latest advancements in Generative AI (LLMs, NLP, Image Generation, etc.) Key Responsibilities: • Design, develop, and deploy machine learning & generative AI models. • Work on NLP, LLM fine-tuning, embeddings, prompt engineering, and vector search. • Build agentic AI applications • Build data pipelines, model lifecycle management, and MLOps integrations. • Develop solutions for use cases like: ◦ Chatbots & Virtual Assistants ◦ Audio processing ◦ Recommendation engines • Collaborate with data engineers & product teams for scalable deployment. • Research and experiment with emerging GenAI models (OpenAI, Hugging Face, Google Gemini, etc.) Must Have Skills: • 3+ years experience in Data Science / ML roles. • Strong Python programming & ML libraries ( Pandas, Scikit-Learn, TensorFlow, PyTorch). • Practical experience with Gen AI models (OpenAI GPT, Llama, Claude, Gemini etc.). • NLP & Text Analytics experience. • Exposure to LLM fine-tuning & embeddings. • Prompt Engineering experience. • SQL & Data Querying Skills. • Experience in deploying ML/AI solutions on Cloud (AWS / GCP / Azure). • Experience with Lang Chain / LlamaIndex / Vector DBs (Pinecone, FAISS, We aviate etc.). • Exposure to MLOps / Model Deployment / API integrations. Good to Have: • Knowledge of GenAI tools (Hugging Face, OpenAI APIs, Stable Diffusion). • Experience in ML model monitoring & performance optimization. • Familiarity with cloud-native Gen AI services (Vertex AI, Azure OpenAI, AWS Bedrock). • Experience in building AI-based products / SaaS. • Data Engineering with DAGs Qualifications: • B.Tech / M.Tech / M.Sc / Ph.D in Computer Science, Data Science, AI, Mathematics, Statistics or equivalent. • Strong problem-solving and analytical skills. • Excellent communication & collaboration skills. If you're interested, please send your updated CV to recruitment@radicalminds.co #DataScience #DataScientist #MachineLearning #AI (Artificial Intelligence) #BigData #Analytics #TechJobs #HiringDataScientists #DataScienceJobs #NowHiring #JobOpening #TechCareers #Python #RStats (for R programming) #SQL #DeepLearning #NLP (Natural Language Processing) #DataEngineering Location-Based (if applicable) #RemoteJobs #LinkedInJobs #IndeedJobs

Minimum qualifications: Bachelor’s degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience. 2 years of experience with network equipment and network protocols testing and debugging. Experience in test automation, test methodologies, writing test plans and creating test cases using Python, C++, Golang. Preferred qualifications: Master's degree or PhD in Computer Science or equivalent practical experience. 5 years of experience in software development and testing. Experience with Network Equipment, Network Protocols Testing, debugging, Large Networks troubleshooting, Deployment. About The Job Our computational challenges are so big and unique we can't just buy our hardware, we've got to make it ourselves. Our Platforms Team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Networking Test Engineer you make sure that our massive and growing network is operating at its peak potential. You have experience with complex networking equipment, a deep understanding of networking protocols, test design and implementation chops and a background in IP network design. It's your job to make sure Google's cutting-edge technology can perform at scale. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities Design, develop, and execute test plans and cases for Google Software Defined Networking (SDN) network, infrastructure, and services, and maintain lab test beds, test infrastructure, and existing test automation environments (hardware and software). Identify, document, and track network defects and performance issues, implement various simulation techniques to replicate and assess network behavior and performance. Collaborate with cross-functional teams to identify, troubleshoot, and resolve network problems, triage automated regression failures, provide failure analysis and manage software releases to production. Utilize testing tools to assess network system performance and reliability, and analyze test results, generate detailed reports on network performance and reliability. Participate in the design and implementation of automated testing solutions, serve as a technical resource to junior team members for simple to intermediate technical problems (e.g., lab infrastructure or installations). Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in coding, developing test methodologies, writing test plans, creating test cases, and debugging. Experience with automation testing. Experience with Android devices or Wear OS. Preferred qualifications: Master's degree in Computer Science, Electrical Engineering, or a related field. Experience in building web-based solutions that improve test processes and reporting. Experience with fine-tuning LLMs and Vertex AI, or other Open Source AI libraries. Experience in Agile methodologies, CI, and release management. About The Job At Google, our philosophy is build it, break it and then rebuild it better. That thinking is at the core of how we approach testing at Google. Unlike roles with similar names at the other companies, Test Engineers at Google aren't manual testers -- you write scripts to automate testing and create tools so developers can test their own code. As a Test Engineer, you navigate Google's massive codebase, identify weak spots and constantly design better and creative ways to break software and identify potential problems. You'll have a huge impact on the quality of Google's growing suite of products and services. The Pixel Wearables team is responsible for delivering quality Pixel Wearable products through integrated software and hardware testing. You will collaborate with cross-functional teams across multiple international sites to provide testing to achieve quality and implement automation testing, leveraging testing frameworks and AI/ML tools. Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology. Responsibilities Own and drive wearables testing and performance strategies to ensure quality. Utilize the latest AI technologies to improve test coverage, effectiveness, productivity, and reporting. Build internal tools and dashboards to facilitate test efforts and provide insightful reporting. Research and evaluate new testing tools and technologies to enhance the team's capabilities. Identify and resolve technical challenges and bottlenecks in the testing process. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India . Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing, and launching software products. 3 years of experience with software design and architecture. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures/algorithms. 3 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. About The Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities Provide technical leadership on high-impact projects. Influence and coach a distributed team of engineers. Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Manage project priorities, deadlines, and deliverables. Design, develop, test, deploy, maintain, and enhance large scale software solutions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Title: AI Engineer Location: Hyderabad & Chennai Availability to Join: Immediate to 15 days Responsibilities: o Design, develop, and implement AI/ML models and algorithms. o Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions. o Write clean, efficient, and well-documented code. o Collaborate with data engineers to ensure data quality and availability for model training and evaluation. o Work closely with senior team members to understand project requirements and contribute to technical solutions. o Troubleshoot and debug AI/ML models and applications. o Stay up-to-date with the latest advancements in AI/ML. o Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models. o Develop and deploy AI solutions on Google Cloud Platform (GCP). o Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy. o Utilize Vertex AI for model training, deployment, and management. o Integrate and leverage Google Gemini for specific AI functionalities. Qualifications: o Bachelor's degree in Computer Science, Artificial Intelligence, or a related field. o 3+ years of experience in developing and implementing AI/ML models. o Strong programming skills in Python. o Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. o Good understanding of machine learning concepts and techniques. o Ability to work independently and as part of a team. o Strong problem-solving skills. o Good communication skills. o Experience with Google Cloud Platform (GCP) is preferred. o Familiarity with Vertex AI is a plus.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India; Mumbai, Maharashtra, India; Pune, Maharashtra, India . Minimum qualifications: Bachelor's degree or equivalent practical experience. 4 years of experience in sales operations, management consulting, or program management. Experience developing analytical models using spreadsheet software. Experience with customers and cross-functional internal business partners. Experience with data analysis and Structured Query Language (SQL). Experience working with non-standard customer agreements, with a focus on tailoring agreements to meet business needs. Preferred qualifications: Experience developing agreements (e.g., drafting, redlining, discussing agreements) at a technology firm. Knowledge of financial modeling, Customer Relationship Management (CRM) and Enterprise Resource Planning (ERP) systems. Ability to present investigative findings used to influence internal and external leadership. Ability to be resourceful, solve problems, work autonomously, lead, and work on multiple time-sensitive projects. Excellent problem-solving, project management, and communication skills. About The Job The Business Strategy & Operations organization provides business critical insights using analytics, ensures cross functional alignment of goals and execution, and helps teams drive strategic partnerships and new initiatives forward. We stay focused on aligning the highest-level company priorities with effective day-to-day operations, and help evolve early stage ideas into future-growth initiatives. As a Deal Strategist, you will analyze opportunities, create business agreements, and execute transactions throughout the business cycle. You will serve as a trusted advisor and thought leader to Google Cloud’s Sales teams in the development and execution of commercial structures for strategic opportunities. It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. Responsibilities Serve as a trusted advisor to the Google Cloud’s Business team in the development and execution of commercial structures. Support customers both internally and externally, with agreement interpretation, discussions, and administration of Google Cloud’s licensing and service agreements. Validate all aspects of agreement packages for accuracy and compliance with Google Cloud’s business practices and approval process. Facilitate alignment and communication between Google Cloud’s Sales teams, internal stakeholders, various teams, and external customers/partners to promptly resolve business and issues, and foster productive interactions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Job Description: GCP Principal Consultant / Director – Cloud Engineering Position Title: GCP Principal Consultant / Director – Cloud Engineering Location: Hyderabad (Work from Office) Experience: 15+ Years Employment Type: Full-time About the Role We are looking for a highly experienced GCP Principal Consultant or Director – Cloud Engineering to lead enterprise-grade cloud transformation initiatives. This role demands deep hands-on expertise in GCP architecture, cloud security, DevSecOps, and modern infrastructure practices. The ideal candidate will be a certified GCP expert with extensive leadership experience in driving digital transformation at scale. Key Responsibilities Lead end-to-end architecture, planning, and execution of cloud transformation programs on Google Cloud Platform (GCP). Review and approve architectural diagrams, cloud adoption plans, security frameworks, and implementation timelines. Provide technical direction on GCP core services including VPC, IAM, Cloud Security, BigQuery, Vertex AI, Cloud Run, App Engine, and Kubernetes. Drive Infrastructure as Code (IaC) best practices using Terraform, Ansible, and Packer. Collaborate with customer stakeholders, cloud engineers, and project managers to align cloud strategies with business goals. Guide secure cloud foundations, cloud-native deployments, and workload migrations (from on-prem or multi-cloud). Enable DevOps and CI/CD pipelines with tools like Jenkins, GitLab, Cloud Build. Mentor cloud engineers and contribute to internal knowledge-sharing and technical workshops. Requirements 20+ years in IT with strong leadership in cloud consulting, especially GCP. Google Cloud Certified Professional Cloud Architect (and other GCP certifications preferred). Proficiency in Terraform, Shell scripting, Python, Jenkins, and DevSecOps principles. Expertise in cloud networking (VPCs, VPNs, Interconnects), security (IAM, WAFs, IDS/IPS), and monitoring. Experience with enterprise clients across domains such as BFSI, Healthcare, Telecom, and Retail. Strong communication skills and the ability to work with global stakeholders. Preferred experience with AWS, Azure, or multi-cloud environments. Experience with AI/ML platforms (e.g., Vertex AI, BigQuery ML) is a plus. Nice to Have Experience in setting up Cloud Centers of Excellence (CCoE). Knowledge of ITIL or project management frameworks. Exposure to client onboarding, pre-sales, and stakeholder demos.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role SAP DRC Implementation: Lead or support the implementation of SAP DRC solutions across SAP ECC and S/4HANA environments. E-Invoicing & E-Reporting: Design, configure, and manage e-invoicing and e-reporting solutions integrated with SAP. Compliance Monitoring: Stay updated on global tax and invoicing regulations; ensure systems are compliant. Process Optimization: Identify and implement improvements to invoicing and reporting processes. Stakeholder Collaboration: Work with finance, IT, and compliance teams to ensure smooth operations. Training & Support: Provide training and support to end-users and stakeholders. Issue Resolution: Troubleshoot and resolve SAP DRC-related issues. Documentation: Maintain detailed documentation of configurations, processes, and compliance requirements. Your Profile Bachelors or Master’s degree in IT, Finance, or related field. 4–15+ years of experience in SAP modules (SD, FI, MM). Proven experience in at least 3–4 SAP DRC e-Invoicing/e-Reporting projects. Familiarity with SAP S/4HANA and ECC. Knowledge of EDI and global e-invoicing regulations. Experience with external bolt-on solutions (e.g., Edicom, Pagero, Vertex, Sovos). What will you love working at Capgemini Opportunities to work with leading global clients and cutting-edge SAP technologies. Supportive, inclusive work environment that values your individuality and encourages career growth. Access to industry-leading learning platforms and a vibrant community of SAP experts. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Job Title: Machine Learning Lead Engineer Job Summary: We are looking for a highly skilled Machine Learning Lead Engineer to lead the development and deployment of production-grade ML solutions. You will be responsible for overseeing the engineering efforts of the ML team, ensuring scalable model development, robust data pipelines, and seamless integration with production systems. This is a key technical leadership role for someone passionate about driving machine learning initiatives from design to deployment, while mentoring a team of engineers and collaborating with cross-functional stakeholders. Roles and Responsibilities: Technical Leadership & Delivery Lead the end-to-end development of ML models and pipelines—from data preparation and feature engineering to model training, validation, and deployment. Translate business requirements into scalable ML solutions, ensuring performance, maintainability, and production readiness. Supervise and support team members in their project work; ensure adherence to coding and MLOps best practices. Model Development & Optimization Design and implement machine learning models (e.g., classification, regression, NLP, recommendation) using TensorFlow, PyTorch, or Scikit-learn. Optimize models for accuracy, latency, and efficiency through feature selection, hyperparameter tuning, and evaluation metrics. Conduct model performance analysis and guide the team in continuous improvement strategies. MLOps & Productionization Implement robust ML pipelines using MLflow, Kubeflow, or similar tools for CI/CD, monitoring, and lifecycle management. Work closely with DevOps and platform teams to containerize models and deploy them on cloud platforms like AWS SageMaker, GCP Vertex AI, or Azure ML. Ensure monitoring, alerting, and retraining strategies are in place for models in production. Team Collaboration & Mentorship Guide and mentor a team of ML engineers and junior data scientists. Collaborate closely with architects, data engineers, and product teams to ensure seamless integration of ML components. Contribute to code reviews, design sessions, and knowledge-sharing initiatives. Skills and Qualifications: Must-Have Skills 5+ years of experience in ML engineering or applied data science, with a strong track record of delivering production-grade ML systems. Deep expertise in Python, data structures, algorithms, and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Hands-on experience with data pipeline tools (Airflow, Spark, Kafka, Pyspark) and MLOps platforms (MLflow, Kubeflow). Strong knowledge of cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes). Solid understanding of model deployment, monitoring, and lifecycle management. Good-to-Have Skills Prior experience leading small to mid-sized technical teams. Exposure to business intelligence or data analytics. Cloud certifications (e.g., AWS Certified ML Specialty). Familiarity with agile methodologies and project tracking tools like Azure DevOps.

We are looking for a highly skilled and motivated Data Scientist with deep experience in building recommendation systems to join our team. This role demands expertise in deep learning, embedding-based retrieval, and the Google Cloud Platform (GCP). You will play a critical role in developing intelligent systems that enhance user experiences through personalized content discovery. Key Responsibilities: Develop, train, and deploy recommendation models using two-tower, multi-tower, and cross-encoder architectures . Generate and utilize text/image embeddings (e.g., CLIP , BERT , Sentence Transformers ) for content-based recommendations. Design semantic similarity search pipelines using vector databases (FAISS, ScaNN, Qdrant, Matching Engine). Create and manage scalable ML pipelines using Vertex AI , Kubeflow Pipelines , and GKE . Handle large-scale data preparation and feature engineering using Dataproc (PySpark) and Dataflow . Implement cold-start strategies leveraging metadata and multimodal embeddings. Work on user modeling , temporal personalization , and re-ranking strategies . Run A/B tests and interpret results to measure real-world impact. Collaborate with cross-functional teams (Engineering, Product, DevOps) for model deployment and monitoring. Must-Have Skills: Strong command of Python and ML libraries: pandas, polars, numpy, scikit-learn, matplotlib, tensorflow, torch, transformers. Deep understanding of modern recommender systems and embedding-based retrieval . Experience with TensorFlow , Keras , or PyTorch for building deep learning models. Hands-on with semantic search , ANN search , and real-time vector matching . Proven experience with Vertex AI , Kubeflow on GKE , and ML pipeline orchestration. Familiarity with vector DBs such as Qdrant , FAISS , ScaNN , or Matching Engine on GCP. Experience in deploying models via Vertex AI Online Prediction , TF Serving , or Cloud Run . Knowledge of feature stores , embedding versioning , and MLOps practices (CI/CD, monitoring). Preferred / Good to Have: Experience with ranking models (e.g., XGBoost , LightGBM , DLRM ) for candidate scoring. Exposure to LLM-powered personalization or hybrid retrieval systems. Familiarity with streaming pipelines using Pub/Sub , Dataflow , Cloud Functions . Hands-on with multi-modal retrieval (text + image + tabular data). Strong grasp of cold-start problem solving , using enriched metadata and embeddings. GCP Stack You’ll Work With: ML & Pipelines: Vertex AI, Vertex Pipelines, Kubeflow on GKE Embedding & Retrieval: Matching Engine, Qdrant, FAISS, ScaNN, Milvus Processing: Dataproc (PySpark), Dataflow Ingestion & Serving: Pub/Sub, Cloud Functions, Cloud Run, TF Serving CI/CD & Automation: GitHub Actions, GitLab CI, Terraform

Job Title: Machine Learning Engineer Location: 100% Remote Job Type: Full-Time About the Role: We are seeking a highly skilled and motivated Machine Learning Engineer to design, develop, and deploy cutting-edge ML models and data-driven solutions. You will work closely with data scientists, software engineers, and product teams to bring AI-powered products to life and scale them effectively. Key Responsibilities: Design, build, and optimize machine learning models for classification, regression, recommendation, and NLP tasks. Collaborate with data scientists to transform prototypes into scalable, production-ready models. Deploy, monitor, and maintain ML pipelines in production environments. Perform data preprocessing, feature engineering, and selection from structured and unstructured data. Implement model performance evaluation metrics and improve accuracy through iterative tuning. Work with cloud platforms (AWS, Azure, GCP) and MLOps tools to manage model lifecycle. Maintain clear documentation and collaborate cross-functionally across teams. Stay updated with the latest ML/AI research and technologies to continuously enhance our solutions. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. 2–5 years of experience in ML model development and deployment. Proficient in Python and libraries such as scikit-learn, TensorFlow, PyTorch, pandas, NumPy, etc. Strong understanding of machine learning algorithms, statistical modeling, and data analysis. Experience with building and maintaining ML pipelines using tools like MLflow, Kubeflow, or Airflow. Familiarity with containerization (Docker), version control (Git), and CI/CD for ML models. Experience with cloud services such as AWS SageMaker, GCP Vertex AI, or Azure ML.

Licious is India’s largest D2C meat and seafood brand, revolutionizing how India experiences meat. We are backed by marquee investors like Temasek, Vertex, and 3one4 Capital. Our mission is to deliver uncompromised quality and convenience through tech-enabled operations, a robust supply chain, and consumer-first experiences. Role Overview As a Non-Tech Recruiter at Licious, you will play a critical role in attracting top talent across non-tech functions such as Operations, Supply Chain, Sales, Marketing, HR, Finance, and Category Management. You will partner with hiring managers to drive end-to-end recruitment while ensuring a seamless candidate experience and strong stakeholder engagement. Experience: 3–6 years Reporting to: TA Manager Key Responsibilities Partner with business leaders to understand talent needs and define hiring requirements. Source, screen, and evaluate candidates across various non-tech roles. Manage the entire recruitment lifecycle from JD creation to offer rollout. Build strong pipelines using LinkedIn, job portals, referrals, and agency partnerships. Drive structured hiring processes including timely feedback loops, panel management, and closure tracking. Leverage data to drive decisions, report on hiring metrics, and optimize recruitment funnels. Represent Licious with professionalism and empathy to create a high-touch candidate experience. Build and maintain strong relationships with stakeholders to influence hiring decisions. Requirements 3–6 years of experience in end-to-end recruitment for non-tech/business roles. Prior experience hiring for high-growth startups, FMCG, retail, logistics, or consumer brands is preferred. Strong sourcing skills with hands-on experience in using platforms like LinkedIn, Naukri, and ATS tools. Excellent stakeholder management and communication skills. High sense of ownership, urgency, and result orientation. Ability to manage multiple roles and deliver within tight timelines Why Join Us? Be part of a high-impact team hiring for a category-creating consumer brand. Work with passionate leaders building India’s most loved meat and seafood company. Fast-paced, high-learning environment with opportunities for growth.

Job Description - AI Data Scientist Location: Remote Department: Data & AI Engineering Employment Type: Full-time Experience Level: Mid-level About the Role: We are seeking an experienced AI Data Engineer to design, build, and deploy data pipelines and ML infrastructure to power scalable AI/ML solutions. This role involves working at the intersection of data engineering, MLOps, and model deployment—supporting the end-to-end lifecycle from data ingestion to model production. Key Responsibilities: Data Engineering & Development Design, develop, and train AI models to solve complex business problems and enable intelligent automation. Design, develop, and maintain scalable data pipelines and workflows for AI/ML applications. Ingest, clean, and transform large volumes of structured and unstructured data from diverse sources (APIs, streaming, databases, flat files). Build and manage data lakes, data warehouses, and feature stores. Prepare training datasets and implement data preprocessing logic. Perform data quality checks, validation, lineage tracking, and schema versioning. Model Deployment & MLOps Package and deploy AI/ML models to production using CI/CD workflows. Implement model inference pipelines (batch or real-time) using containerized environments (Docker, Kubernetes). Use MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI) for model tracking, versioning, and deployment. Monitor deployed models for performance, drift, and reliability. Integrate deployed models into applications and APIs (e.g., REST endpoints). Platform & Cloud Engineering Manage cloud-based infrastructure (AWS, GCP, or Azure) for data storage, compute, and ML services. Automate infrastructure provisioning using tools like Terraform or CloudFormation. Optimize pipeline performance and resource utilization for cost-effectiveness. Requirements: Must-Have Skills Bachelor's/Master’s in Computer Science, Engineering, or related field. 2+ years of experience in data engineering, ML engineering, or backend infrastructure. Proficient in Python, SQL, and data processing frameworks (e.g., Spark, Pandas). Experience with cloud platforms (AWS/GCP/Azure) and services like S3, BigQuery, Lambda, or Databricks. Hands-on experience with CI/CD, Docker, and container orchestration (Kubernetes, ECS, EKS). Preferred Skills Experience deploying ML models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Familiarity with API development (Flask/FastAPI) for serving models. Experience with Airflow, Prefect, or Dagster for orchestrating pipelines. Understanding of DevOps and MLOps best practices. Soft Skills: Strong communication and collaboration with cross-functional teams. Proactive problem-solving attitude and ownership mindset. Ability to document and communicate technical concepts clearly.

About Client: Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media. Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia. Job Title: GenAI Developer Key Skills: GenAI, Python, GenAI platforms, LLM , MLOps, cloud platforms, Docker, Kubernetes, CI/CD pipelines, GenAI frameworks, LangChain, AutoGen, LlamaIndex, CrewA Job Locations: Hyderabad, Bangalore Experience: 3 - 8 Years Budget: 7 - 15 LPA Education Qualification : Any Graduation Work Mode: Hybrid Employment Type: Contract Notice Period: Immediate - 15 Days Interview Mode: 2 Rounds of Technical Interview + Including Client round Job Description: We are seeking a highly skilled and motivated GenAI Infrastructure Architect and Developer to lead the design, development, and deployment of scalable GenAI platforms. This role will focus on building robust infrastructure to support agent-based systems, LLM orchestration, and real-time AI-driven automation across enterprise environments. Key Responsibilities: Architect and implement GenAI infrastructure using cloud-native technologies (AWS, Azure, GCP). Design and deploy scalable, secure, and resilient GenAI pipelines for model training, inference, and monitoring. Collaborate with cross-functional teams to integrate GenAI services into enterprise workflows (e.g., automation, observability, data pipelines). Optimize performance, cost, and reliability of GenAI workloads. Ensure compliance with security, governance, and data privacy standards. Required Skills: Strong experience with cloud platforms (AWS Bedrock, Azure AI, GCP Vertex AI). Proficiency in containerization (Docker, Kubernetes) and CI/CD pipelines. Familiarity with GenAI frameworks like LangChain, AutoGen, LlamaIndex, or CrewAI. Hands-on experience with observability, logging, and monitoring tools. Understanding of LLM lifecycle management, prompt engineering, and fine-tuning. Knowledge of data engineering and MLOps practices. Interested Candidates please share your CV to pnomula@people-prime.com

Machine Learning Architect Location: Pune & Remote Experience: 8+ Years Job Summary: We are hiring a Machine Learning Architect with expertise in cloud-native ML deployment, optimization using Gurobi, and advanced decision systems on Google Cloud. Key Responsibilities: Design scalable ML solutions using GCP (Vertex AI, AutoML) Develop optimization models using Gurobi and Google OR Build automated ML pipelines Collaborate with business and engineering teams Qualifications: Bachelor's/Master’s in Computer Science, AI, or Data Science 5+ years in ML architecture Proficient in TensorFlow, PyTorch, Gurobi, BigQuery, Apache Spark Preferred: PhD or experience in Reinforcement Learning MLOps & CI/CD pipelines familiarity Apply Now! Job Types: Full-time, Permanent Pay: ₹2,160,000.00 - ₹2,280,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): What is your current CTC? What is your expected CTC? What is your official notice period/last working day? Experience: Total: 8 years (Required) ML Architecture: 5 years (Required) Work Location: In person

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. 1-3 years work experience in embedded software and/or driver. Candidate should be detail-oriented and have strong analytic and problem-solving skills, highly organized Extremely strong knowledge with C/C++ programming, ARM assembly language. Solid understanding of overall embedded system architecture. Experience in 2D and 3D graphics technology and standards such as OpenGL, OpenGL ES/EGL, Vulkan Experience in multimedia on embedded systems and the use of graphics and in a highly integrated system. Experience and/or knowledge of the use of the GPU as a compute engine: GPGPU and OpenCL is an asset. Experience with virtualization technologies across CPU and MM hardware accelerators. Experience with GPU optimization, advanced rendering, and latency optimizations and ability to identify and isolate performance issues in graphics applications. Experience with design and implementation of modern 3D graphics applications using OpenGLES API is a plus. Experience with writing vertex and fragment shaders using shading languages such as GLSL is a plus. Knowledge in one or more of the following operating systems is preferred: Android, QNX, embedded Linux, Genivi, Integrity. Knowledge of Graphics frameworks: Kanzi, QT, is a plus *Fluent in industry standard software tools: SW/HW debuggers, code revision control systems (GIT, Perforce), IDEs and build tools. Strong communication skills (written and verbal), working with teams across multiple time zones. A passion for excellence in programming, and exceeding goals. Required: Bachelor's, Computer Engineering and/or Computer and/or Electrical Engineering Preferred: Master's, Computer Engineering and/or Computer and/or Electrical Engineering Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

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