Experience : 3.00 + years Salary : INR 1600000-2000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: SenseCloud) (*Note: This is a requirement for one of Uplers' client - A Seed-Funded B2B SaaS Company – Procurement Analytics) What do you need for this opportunity? Must have skills required: open-source, Palantir, privacy techniques, rag, Snowflake, LangChain, LLM, MLOps, AWS, Docker, Python A Seed-Funded B2B SaaS Company – Procurement Analytics is Looking for: Join the Team Revolutionizing Procurement Analytics at SenseCloud Imagine working at a company where you get the best of all worlds: the fast-paced execution of a startup and the guidance of leaders who’ve built things that actually work at scale. We’re not just rethinking how procurement analytics is done — we’re redefining them. At Sensecloud, we envision a future where Procurement data management and analytics is as intuitive as your favorite app. No more complex spreadsheets, no more waiting in line to get IT and analytics teams’ attention, no more clunky dashboards —just real-time insights, smooth automation, and a frictionless experience that helps companies make fast decisions. If you’re ready to help us build the future of procurement analytics, come join the ride. You'll work alongside the brightest minds in the industry, learn cutting-edge technologies, and be empowered to take on challenges that will stretch your skills and your thinking. If you’re ready to help us build the future of procurement, analytics come join the ride. About The Role We’re looking for an AI Engineer who can design, implement, and productionize LLM-powered agents that solve real-world enterprise problems—think automated research assistants, data-driven copilots, and workflow optimizers. You’ll own projects end-to-end: scoping, prototyping, evaluating, and deploying scalable agent pipelines that integrate seamlessly with our customers’ ecosystems. What you'll do: Architect & build multi-agent systems using frameworks such as LangChain, LangGraph, AutoGen, Google ADK, Palantir Foundry, or custom orchestration layers. Fine-tune and prompt-engineer LLMs (OpenAI, Anthropic, open-source) for retrieval-augmented generation (RAG), reasoning, and tool use. Integrate agents with enterprise data sources (APIs, SQL/NoSQL DBs, vector stores like Pinecone, Elasticsearch) and downstream applications (Snowflake, ServiceNow, custom APIs). Own the MLOps lifecycle: containerize (Docker), automate CI/CD, monitor drift & hallucinations, set up guardrails, observability, and rollback strategies. Collaborate cross-functionally with product, UX, and customer teams to translate requirements into robust agent capabilities and user-facing features. Benchmark & iterate on latency, cost, and accuracy; design experiments, run A/B tests, and present findings to stakeholders. Stay current with the rapidly evolving GenAI landscape and champion best practices in ethical AI, data privacy, and security. Must-Have Technical Skills 3–5 years software engineering or ML experience in production environments. Strong Python skills (async I/O, typing, testing) plus familiarity with TypeScript/Node or Go a bonus. Hands-on with at least one LLM/agent frameworks and platforms (LangChain, LangGraph, Google ADK, LlamaIndex, Emma, etc.). Solid grasp of vector databases (Pinecone, Weaviate, FAISS) and embedding models. Experience building and securing REST/GraphQL APIs and microservices. Cloud skills on AWS, Azure, or GCP (serverless, IAM, networking, cost optimization). Proficient with Git, Docker, CI/CD (GitHub Actions, GitLab CI, or similar). Knowledge of ML Ops tooling (Kubeflow, MLflow, SageMaker, Vertex AI) or equivalent custom pipelines. Core Soft Skills Product mindset: translate ambiguous requirements into clear deliverables and user value. Communication: explain complex AI concepts to both engineers and executives; write crisp documentation. Collaboration & ownership: thrive in cross-disciplinary teams, proactively unblock yourself and others. Bias for action: experiment quickly, measure, iterate—without sacrificing quality or security. Growth attitude: stay curious, seek feedback, mentor juniors, and adapt to the fast-moving GenAI space. Nice-to-Haves Experience with RAG pipelines over enterprise knowledge bases (SharePoint, Confluence, Snowflake). Hands-on with MCP servers/clients, MCP Toolbox for Databases, or similar gateway patterns. Familiarity with LLM evaluation frameworks (LangSmith, TruLens, Ragas). Familiarity with Palantir/Foundry. Knowledge of privacy-enhancing techniques (data anonymization, differential privacy). Prior work on conversational UX, prompt marketplaces, or agent simulators. Contributions to open-source AI projects or published research. Why Join Us? Direct impact on products used by Fortune 500 teams. Work with cutting-edge models and shape best practices for enterprise AI agents. Collaborative culture that values experimentation, continuous learning, and work–life balance. Competitive salary, equity, remote-first flexibility, and professional development budget. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1600000-2000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: SenseCloud) (*Note: This is a requirement for one of Uplers' client - A Seed-Funded B2B SaaS Company – Procurement Analytics) What do you need for this opportunity? Must have skills required: open-source, Palantir, privacy techniques, rag, Snowflake, LangChain, LLM, MLOps, AWS, Docker, Python A Seed-Funded B2B SaaS Company – Procurement Analytics is Looking for: Join the Team Revolutionizing Procurement Analytics at SenseCloud Imagine working at a company where you get the best of all worlds: the fast-paced execution of a startup and the guidance of leaders who’ve built things that actually work at scale. We’re not just rethinking how procurement analytics is done — we’re redefining them. At Sensecloud, we envision a future where Procurement data management and analytics is as intuitive as your favorite app. No more complex spreadsheets, no more waiting in line to get IT and analytics teams’ attention, no more clunky dashboards —just real-time insights, smooth automation, and a frictionless experience that helps companies make fast decisions. If you’re ready to help us build the future of procurement analytics, come join the ride. You'll work alongside the brightest minds in the industry, learn cutting-edge technologies, and be empowered to take on challenges that will stretch your skills and your thinking. If you’re ready to help us build the future of procurement, analytics come join the ride. About The Role We’re looking for an AI Engineer who can design, implement, and productionize LLM-powered agents that solve real-world enterprise problems—think automated research assistants, data-driven copilots, and workflow optimizers. You’ll own projects end-to-end: scoping, prototyping, evaluating, and deploying scalable agent pipelines that integrate seamlessly with our customers’ ecosystems. What you'll do: Architect & build multi-agent systems using frameworks such as LangChain, LangGraph, AutoGen, Google ADK, Palantir Foundry, or custom orchestration layers. Fine-tune and prompt-engineer LLMs (OpenAI, Anthropic, open-source) for retrieval-augmented generation (RAG), reasoning, and tool use. Integrate agents with enterprise data sources (APIs, SQL/NoSQL DBs, vector stores like Pinecone, Elasticsearch) and downstream applications (Snowflake, ServiceNow, custom APIs). Own the MLOps lifecycle: containerize (Docker), automate CI/CD, monitor drift & hallucinations, set up guardrails, observability, and rollback strategies. Collaborate cross-functionally with product, UX, and customer teams to translate requirements into robust agent capabilities and user-facing features. Benchmark & iterate on latency, cost, and accuracy; design experiments, run A/B tests, and present findings to stakeholders. Stay current with the rapidly evolving GenAI landscape and champion best practices in ethical AI, data privacy, and security. Must-Have Technical Skills 3–5 years software engineering or ML experience in production environments. Strong Python skills (async I/O, typing, testing) plus familiarity with TypeScript/Node or Go a bonus. Hands-on with at least one LLM/agent frameworks and platforms (LangChain, LangGraph, Google ADK, LlamaIndex, Emma, etc.). Solid grasp of vector databases (Pinecone, Weaviate, FAISS) and embedding models. Experience building and securing REST/GraphQL APIs and microservices. Cloud skills on AWS, Azure, or GCP (serverless, IAM, networking, cost optimization). Proficient with Git, Docker, CI/CD (GitHub Actions, GitLab CI, or similar). Knowledge of ML Ops tooling (Kubeflow, MLflow, SageMaker, Vertex AI) or equivalent custom pipelines. Core Soft Skills Product mindset: translate ambiguous requirements into clear deliverables and user value. Communication: explain complex AI concepts to both engineers and executives; write crisp documentation. Collaboration & ownership: thrive in cross-disciplinary teams, proactively unblock yourself and others. Bias for action: experiment quickly, measure, iterate—without sacrificing quality or security. Growth attitude: stay curious, seek feedback, mentor juniors, and adapt to the fast-moving GenAI space. Nice-to-Haves Experience with RAG pipelines over enterprise knowledge bases (SharePoint, Confluence, Snowflake). Hands-on with MCP servers/clients, MCP Toolbox for Databases, or similar gateway patterns. Familiarity with LLM evaluation frameworks (LangSmith, TruLens, Ragas). Familiarity with Palantir/Foundry. Knowledge of privacy-enhancing techniques (data anonymization, differential privacy). Prior work on conversational UX, prompt marketplaces, or agent simulators. Contributions to open-source AI projects or published research. Why Join Us? Direct impact on products used by Fortune 500 teams. Work with cutting-edge models and shape best practices for enterprise AI agents. Collaborative culture that values experimentation, continuous learning, and work–life balance. Competitive salary, equity, remote-first flexibility, and professional development budget. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

About Spyne: At Spyne, we are transforming how cars are marketed and sold with cutting-edge Generative AI. What started as a bold idea—using AI-powered visuals to help auto dealers sell faster online—has now evolved into a full-fledged, AI-first automotive retail ecosystem. Backed by $16M in Series A funding from Accel, Vertex Ventures, and other top investors, we’re scaling at breakneck speed: Launched industry-first AI-powered Image, Video & 360° solutions for Automotive dealers Launching Gen AI powered Automotive Retail Suite to power Inventory, Marketing, CRM for dealers Onboarded 1500+ dealers across US, EU and other key markets in the past 2 years of launch Gearing up to onboard 10K+ dealers across global market of 200K+ dealers 150+ members team with near equal split on R&D and GTM Learn more about our products: Spyne AI Products - StudioAI, RetailAI Series A Announcement - CNBC-TV18, Yourstory Role Overview: Onboarding Manager We’re looking for a proactive and customer-obsessed Onboarding Manager to join our dynamic Customer Success team. In this role, you’ll be the first impression for our clients, ensuring a seamless transition from sales to product adoption. You'll build strong relationships, solve challenges creatively, and set our customers up for long-term success with Spyne. 📍 Location: Gurugram (Work from Office, 5 days a week) 🖥 Role: Full-time What You’ll Do Own and manage the end-to-end onboarding process for new customers, ensuring timely and successful product implementations. Partner closely with Sales and Product teams to ensure smooth handoff and alignment of expectations. Develop and maintain onboarding playbooks and best practices to deliver exceptional client experiences. Build deep relationships with clients, act as their trusted advisor, and ensure their needs are met during onboarding. Monitor onboarding progress, identify bottlenecks, and proactively resolve challenges to keep clients on track. Leverage data and customer feedback to improve onboarding processes and customer outcomes. Conduct onboarding sessions via video calls, chat, and email, ensuring clarity and alignment at every step. Collaborate cross-functionally to ensure customer feedback informs product and process improvements. What We’re Looking For 3-5 years of experience in customer onboarding, customer success, or client services roles (preferably in SaaS or tech-driven environments). Proven track record of managing multiple client onboarding projects simultaneously with a high level of customer satisfaction. Excellent verbal and written communication skills in English. Strong problem-solving and conflict-resolution skills with a client-first mindset. Experience working with CRM tools like HubSpot and support platforms like Freshdesk. Ability to thrive in a dynamic, fast-paced environment and handle complex customer situations with professionalism. Comfortable working in US shift timings to support global customers. Why Join Spyne? Work on cutting-edge GenAI + SaaS experiences for a global automotive audience. Help define the design DNA of a fast-growing, category-defining startup. High ownership, direct access to founders, and opportunity to shape product strategy. Competitive compensation + equity + global impact. If you thrive in a fast-paced, innovation-driven setup and love solving complex tech challenges, this role is for you! 🚀 Talk to us to find out more! Show more Show less

Role Description UST is seeking an experienced Data Scientist to join our Data & Analytics team. Key Responsibilities Drive client engagement fully and align the development team towards a technical roadmap. Implement analytical requirements by defining and analysing system problems, designing and testing standards and solutions. Develop solution by preparing and evaluating alternative workflow solutions. Determine operational objectives by studying business functions; gathering information; evaluating output requirements and formats. Design new analytical solutions by analysing requirements; constructing workflow charts and diagrams; studying system capabilities; writing specifications. Improve systems by studying current practices, designing modifications. Recommends controls by identifying problems, writing improved procedures. Define project requirements by identifying project milestones, phases, and elements; forming project team; establishing project budget. Monitor project progress by tracking activity; resolving problems; publishing progress reports; recommending actions. Maintain system protocols by writing and updating procedures. Provide references for users by writing and maintaining user documentation; providing help desk support; training users. Maintain user confidence and protects operations by keeping information confidential. Prepare technical reports by collecting, analysing, and summarizing information and trends. Maintain professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies. Required Skills And Experience Professional experience of 10+ years in business analysis, requirement gathering, solution workflow design for AI/ML/Analytics project. Excellent problem solving, Critical and Analytical thinking skills and hands on coding skills. Proficient in Data fetch, data merge, data wrangling, exploratory data analysis and feature engineering. Experience in programming skills in Python and SQL with working knowledge of machine learning algorithms. Strong understanding of ML libraries and applications e.g., Time series analysis, Neural Net, SVMs, boosting methods and implementation using Python. Experience in Deep learning techniques. Excellent Communication skills to effectively collaborate with business SMEs, UX team. Intermediate knowledge with Dev Ops practices, including CICD, Automation, Build Management, and Versioning. Understanding of Cloud services, including Azure ML or AWS Sagemaker or GCP Vertex AI. Experience in LLM/Gen AI – Prompt Engineering, RAG and parameter hypertuning. Experience in Pyspark will be an added advantage. Skills MS Azure,Azure Cloud,Azure Data Factory,Data Scientist Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Bengaluru, Karnataka, India; Mumbai, Maharashtra, India . Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. 10 years of experience in modernizing legacy applications and applying cloud native development methodologies and tools, including container technology. Experience with software development, code technology migrations programs, code version migrations. Experience in one or more languages/frameworks (e.g., Python, Java, GoLang, JavaScript, Typescript, PyTorch, Jupyter/Colab notebooks). Experience with popular frameworks springboot, Model-View-Controller (MVC) frameworks. Preferred qualifications: Experience in Google Cloud Platform (GCP) and Vertex AI. Experience with modern software development life-cycle methodologies and tools including Integrated Development Environment (IDEs), Continuous Integration/Continuous Deployment (CI/CD), container orchestration and operations. Ability to engage with C-level or executive business leaders and influence decisions. Ability to create prototypes/demos, and articulate this to a customer audience, while integrating with existing systems and processes. Excellent consulting skills, with the ability to deliver technical presentations while leading detailed discovery and planning sessions that are aligned with the customer with defined scope and success criteria. About the job The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. In this role, you will work with technical business teams as a Gemini Code Assist subject matter expert. You will help customers and partners in understanding the power of Gemini code assist, explaining technical differentiators, helping customers deploy the tool in the development eco-system, building use-cases for Artificial Intelligence (AI) assisted software development tooling like legacy code migration, version migration etc., and problem-solving any potential roadblocks and day-to-day software development life-cycle. You will work with customers and product development to shape the future of the Gemini Code Assist.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Work with the team to identify and qualify business opportunities, understanding customer technical objections, and develop the strategy to resolve technical blockers. Support the technical relationship with Google’s customers, including product and solution briefings, proof-of-concept work, and partner with product management to prioritize solutions impacting customer adoption to Google Cloud. Create and deliver technical content (e.g., best practices, tutorials, code samples, presentations) to enable customers and internal teams to leverage Google Cloud Code Assist tool. Travel to customer locations and represent Google Cloud at conferences, meetups, and other industry events to share knowledge, network with peers, and stay current on the trends. 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: Gurugram, Haryana, India; Bengaluru, Karnataka, India; Mumbai, Maharashtra, India . Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. 10 years of experience in modernizing legacy applications and applying cloud native development methodologies and tools, including container technology. Experience with software development, code technology migrations programs, code version migrations. Experience in one or more languages/frameworks (e.g., Python, Java, GoLang, JavaScript, Typescript, PyTorch, Jupyter/Colab notebooks). Experience with popular frameworks springboot, Model-View-Controller (MVC) frameworks. Preferred qualifications: Experience in Google Cloud Platform (GCP) and Vertex AI. Experience with modern software development life-cycle methodologies and tools including Integrated Development Environment (IDEs), Continuous Integration/Continuous Deployment (CI/CD), container orchestration and operations. Ability to engage with C-level or executive business leaders and influence decisions. Ability to create prototypes/demos, and articulate this to a customer audience, while integrating with existing systems and processes. Excellent consulting skills, with the ability to deliver technical presentations while leading detailed discovery and planning sessions that are aligned with the customer with defined scope and success criteria. About the job The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. In this role, you will work with technical business teams as a Gemini Code Assist subject matter expert. You will help customers and partners in understanding the power of Gemini code assist, explaining technical differentiators, helping customers deploy the tool in the development eco-system, building use-cases for Artificial Intelligence (AI) assisted software development tooling like legacy code migration, version migration etc., and problem-solving any potential roadblocks and day-to-day software development life-cycle. You will work with customers and product development to shape the future of the Gemini Code Assist.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Work with the team to identify and qualify business opportunities, understanding customer technical objections, and develop the strategy to resolve technical blockers. Support the technical relationship with Google’s customers, including product and solution briefings, proof-of-concept work, and partner with product management to prioritize solutions impacting customer adoption to Google Cloud. Create and deliver technical content (e.g., best practices, tutorials, code samples, presentations) to enable customers and internal teams to leverage Google Cloud Code Assist tool. Travel to customer locations and represent Google Cloud at conferences, meetups, and other industry events to share knowledge, network with peers, and stay current on the trends. 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: Gurugram, Haryana, India; Bengaluru, Karnataka, India; Mumbai, Maharashtra, India . Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. 10 years of experience in modernizing legacy applications and applying cloud native development methodologies and tools, including container technology. Experience with software development, code technology migrations programs, code version migrations. Experience in one or more languages/frameworks (e.g., Python, Java, GoLang, JavaScript, Typescript, PyTorch, Jupyter/Colab notebooks). Experience with popular frameworks springboot, Model-View-Controller (MVC) frameworks. Preferred qualifications: Experience in Google Cloud Platform (GCP) and Vertex AI. Experience with modern software development life-cycle methodologies and tools including Integrated Development Environment (IDEs), Continuous Integration/Continuous Deployment (CI/CD), container orchestration and operations. Ability to engage with C-level or executive business leaders and influence decisions. Ability to create prototypes/demos, and articulate this to a customer audience, while integrating with existing systems and processes. Excellent consulting skills, with the ability to deliver technical presentations while leading detailed discovery and planning sessions that are aligned with the customer with defined scope and success criteria. About the job The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. In this role, you will work with technical business teams as a Gemini Code Assist subject matter expert. You will help customers and partners in understanding the power of Gemini code assist, explaining technical differentiators, helping customers deploy the tool in the development eco-system, building use-cases for Artificial Intelligence (AI) assisted software development tooling like legacy code migration, version migration etc., and problem-solving any potential roadblocks and day-to-day software development life-cycle. You will work with customers and product development to shape the future of the Gemini Code Assist.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Work with the team to identify and qualify business opportunities, understanding customer technical objections, and develop the strategy to resolve technical blockers. Support the technical relationship with Google’s customers, including product and solution briefings, proof-of-concept work, and partner with product management to prioritize solutions impacting customer adoption to Google Cloud. Create and deliver technical content (e.g., best practices, tutorials, code samples, presentations) to enable customers and internal teams to leverage Google Cloud Code Assist tool. Travel to customer locations and represent Google Cloud at conferences, meetups, and other industry events to share knowledge, network with peers, and stay current on the trends. 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.

🚨 We are Hiring 🚨 https://grhombustech.com/jobs/job-description-senior-test-automation-lead-playwright-ai-ml-focus/ Job Description Job Title: Senior Test Automation Lead – Playwright (AI/ML Focus) Location: Hyderabad Job Type: Full-Time Company Overview: GRhombus Technologies Pvt Ltd, a pioneer in Software Solutions – Especially on Test Automation, Cyber Security, Full Stack Development, DevOps, Salesforce, Performance Testing and Manual Testing. GRhombus delivery centres are located in India at Hyderabad, Chennai, Bengaluru and Pune. In the Middle East, we are located in Dubai. Our partner offices are located in the USA and the Netherlands. About the Role: We are seeking a passionate and technically skilled Senior Test Automation Lead with deep experience in Playwright-based frameworks and a solid understanding of AI/ML-driven applications. In this role, you will lead the automation strategy and quality engineering practices for next-generation AI products that integrate large-scale machine learning models, data pipelines, and dynamic, intelligent UIs. You will define, architect, and implement scalable automation solutions across AI-enhanced features such as recommendation engines, conversational UIs, real-time analytics, and predictive workflows, ensuring both functional correctness and intelligent behavior consistency. Key Responsibilities: Test Automation Framework Design & Implementation Design and implement robust, modular, and extensible Playwright automation frameworks using TypeScript/JavaScript. Define automation design patterns and utilities that can handle complex AI-driven UI behaviors (e.g., dynamic content, personalization, chat interfaces). Implement abstraction layers for easy test data handling, reusable components, and multi-browser/platform execution. AI/ML-Specific Testing Strategy Partner with Data Scientists and ML Engineers to understand model behaviors, inference workflows, and output formats. Develop strategies for testing non-deterministic model outputs (e.g., chat responses, classification labels) using tolerance ranges, confidence intervals, or golden datasets. Design tests to validate ML integration points: REST/gRPC API calls, feature flags, model versioning, and output accuracy. Include bias, fairness, and edge-case validations in test suites where applicable (e.g., fairness in recommendation engines or NLP sentiment analysis). End-to-End Test Coverage Lead the implementation of end-to-end automation for: Web interfaces (React, Angular, or other SPA frameworks) Backend services (REST, GraphQL, WebSockets) ML model integration endpoints (real-time inference APIs, batch pipelines) Build test utilities for mocking, stubbing, and simulating AI inputs and datasets. CI/CD & Tooling Integration Integrate automation suites into CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI, or similar. Configure parallel execution, containerized test environments (e.g., Docker), and test artifact management. Establish real-time dashboards and historical reporting using tools like Allure, ReportPortal, TestRail, or custom Grafana integrations. Quality Engineering & Leadership Define KPIs and QA metrics for AI/ML product quality: functional accuracy, model regression rates, test coverage %, time-to-feedback, etc. Lead and mentor a team of automation and QA engineers across multiple projects. Act as the Quality Champion across the AI platform by influencing engineering, product, and data science teams on quality ownership and testing best practices. Agile & Cross-Functional Collaboration Work in Agile/Scrum teams; participate in backlog grooming, sprint planning, and retrospectives. Collaborate across disciplines: Frontend, Backend, DevOps, MLOps, and Product Management to ensure complete testability. Review feature specs, AI/ML model update notes, and data schemas for impact analysis. Required Skills and Qualifications: Technical Skills: Strong hands-on expertise with Playwright (TypeScript/JavaScript). Experience building custom automation frameworks and utilities from scratch. Proficiency in testing AI/ML-integrated applications: inference endpoints, personalization engines, chatbots, or predictive dashboards. Solid knowledge of HTTP protocols, API testing (Postman, Supertest, RestAssured). Familiarity with MLOps and model lifecycle management (e.g., via MLflow, SageMaker, Vertex AI). Experience in testing data pipelines (ETL, streaming, batch), synthetic data generation, and test data versioning. Domain Knowledge: Exposure to NLP, CV, recommendation engines, time-series forecasting, or tabular ML models. Understanding of key ML metrics (precision, recall, F1-score, AUC), model drift, and concept drift. Knowledge of bias/fairness auditing, especially in UI/UX contexts where AI decisions are shown to users. Leadership & Communication: Proven experience leading QA/Automation teams (4+ engineers). Strong documentation, code review, and stakeholder communication skills. Experience collaborating in Agile/SAFe environments with cross-functional teams. Preferred Qualifications: Experience with AI Explainability frameworks like LIME, SHAP, or What-If Tool. Familiarity with Test Data Management platforms (e.g., Tonic.ai, Delphix) for ML training/inference data. Background in performance and load testing for AI systems using tools like Locust, JMeter, or k6. Experience with GraphQL, Kafka, or event-driven architecture testing. QA Certifications (ISTQB, Certified Selenium Engineer) or cloud certifications (AWS, GCP, Azure). Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related technical discipline. Bonus for certifications or formal training in Machine Learning, Data Science, or MLOps. Why Join Us? At GRhombus, we are redefining quality assurance and software testing with cutting-edge methodologies and a commitment to innovation. As a test automation lead, you will play a pivotal role in shaping the future of automated testing, optimizing frameworks, and driving efficiency across our engineering ecosystem. Be part of a workplace that values experimentation, learning, and professional growth. Contribute to an organisation where your ideas drive innovation and make a tangible impact. Show more Show less

Dear Healthcare Recruiter, Vertex Elite is looking for Healthcare Recruiter. Please send your resume if you are interested in this opportunity and also refer to your friends if they are suitable for this opportunity. Job Type : Full time with Vertex Elite(Work Location Hyderabad) Job Type : Freelance healthcare recruiter(100% remote) Required Skills: 5+ Years total experience in US Healthcare Recruiting Minimum 3 years of experience with current company. With Best Regards, Naga Ramisetti | Email naga.ramisetti@vertexelites.com | www.vertexelites.com Show more Show less

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations Since 2011, our mission hasnt changed "” were here to stop breaches, and weve redefined modern security with the worlds most advanced AI-native platform We work on large scale distributed systems, processing almost 3 trillion events per day We have 3.44 PB of RAM deployed across our fleet of C* servers and this traffic is growing daily Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward Were also a mission-driven company We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers Were always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other Ready to join a mission that mattersThe future of cybersecurity starts with you. About The Role The charter of the Data + ML Platform team is to harness all the data that is ingested and cataloged within the Data LakeHouse for exploration, insights, model development, ML model development lifecycle, ML engineering, and Insights Activation This team is situated within the larger Data Platform group, which serves as one of the core pillars of our company We processdata at a truly immense scale The data sets we process are composed of various facets including telemetry data, associated metadata, IT asset information, contextual formation about threat exposure, and many more These facets comprise the overall data platform, which is currently over 200 PB and maintained in a hyper scale Data Lakehouse. We are seeking a strategic and technically savvy leader to head our Data and ML Platform team As the head, you will be responsible for defining and building our ML Experimentation Platform from the ground up, while scaling our data and ML infrastructure to support various roles including Data Platform Engineers, Data Scientists, and Threat Analysts Your key responsibilities will involve overseeing the design, implementation, and maintenance of scalable ML pipelines for data preparation, cataloging, feature engineering, model training, model serving, and in-field model performance monitoring These efforts will directly influence critical business decisions In this role, you'll foster a production-focused culture that effectively bridgesthe gap between model development and operational success Furthermore, you'll be at the forefront of spearheading our ongoing Generative AI investments The ideal candidate for this position will combine strategic vision with hands-on technical expertise in machine learning and data infrastructure, driving innovation and excellence across our data and ML initiatives We are building this team with ownership at Bengaluru, India, this leader will help us boot strap the entire site, starting with this team. What You'll Do Strategic Leadership Define the vision, strategy and roadmap for the organizations data and ML platform to align with critical business goals. Help design, build, and facilitate adoption of a modern Data+ML platform Stay updated on emerging technologies and trends in data platform, ML Ops and AI/ML Team Management Build a team of Data and ML Platform engineers from a small footprint across multiple geographies Foster a culture of innovation and strong customer commitment for both internal and external stakeholders Platform Development Oversee the design and implementation of a platform containing data pipelines, feature stores and model deployment frameworks. Develop and enhance ML Ops practices to streamline model lifecycle Management from development to production. Data Governance Institute best practices for data security, compliance and quality to ensure safe and secure use of AI/ML models. Stakeholder engagement Partner with product, engineering and data science teams to understand requirements and translate them into platform capabilities. Communicate progress and impact to executive leadership and key stakeholders. Operational Excellence Establish SLI/SLO metrics for Observability of the Data and ML Platform along with alerting to ensure a high level of reliability and performance. Drive continuous improvement through data-driven insights and operational metrics. What You'll Need S 10+ years experience in data engineering, ML platform development, or related fields with at least 5 years in a leadership role. Familiarity with typical machine learning algorithms from an engineering perspective; familiarity with supervised / unsupervised approacheshow, why and when labeled data is created and used. Knowledge of ML Platform tools like Jupyter Notebooks, NVidia Workbench, MLFlow, Ray, Vertex AI, etc. Experience with modern ML Ops platforms such as MLFLow, Kubeflow or SageMaker preferred.Experience in data platform product(s) and frameworks like Apache Spark, Flink or comparable tools in GCP and orchestration technologies (e.g Kubernetes, Airflow) Experience with Apache Iceberg is a plus. Deep understanding of machine learning workflows, including model training, deployment and monitoring. Familiarity with data visualization tools and techniques. Experience with boot strapping new teams and growing them to make a large impact. Experience operating as a site lead within a company will be a bonus. Exceptional interpersonal and communication skills Work with stakeholders across multiple teams and synthesize their needs into software interfaces and processes. Benefits Of Working At CrowdStrike Remote-friendly and flexible work culture Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role s, geographic neighbourhood groups and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified„¢ across the globe CrowdStrike is proud to be an equal opportunity employer We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. Show more Show less

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a dynamic and skilled AIML architect who is passionate about solving real world problems in the healthcare domain using cutting edge capabilities and emerging technologies. As an AI solution architect, you will be responsible for developing AI business case, solution design and as needed prototypes. You will follow advancements in the state-of-the-art methods that are relevant to the particular use case and provide recommendations for model development and experimentation. Primary Responsibilities Develop and implement AI/ML strategies, vision, and guidelines in collaboration with business and IT stakeholders Design innovative AI solutions to various business problems, utilizing cutting-edge AI technologies Work on transformational AI and automation initiatives to support business priorities Research and evaluate new data sources, AI technology trends, and methodologies to enhance organizational data science capabilities and solutions Educate the team on AI technologies, best practices, and responsible use of AI Collaborate with cross-functional teams to understand business requirements and translate them into architecture solutions Ensure the scalability, reliability, and efficiency of AI/ML solutions in production environments Stay updated with the latest advancements in AI/ML techniques and tools and identify opportunities to enhance existing solutions Document and communicate findings, methodologies, and insights to technical and non-technical stakeholders Utilize frameworks such as Scikit Learn, TensorFlow, PyTorch, Vertex AI, and Azure AI Studio Navigate MLRB processes in partnership with others for new AI use cases and deployments Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s or Master’s degree in computer science, Data Science, Statistics, or a related field 3+ years of experience in Data Science, AI/ML, or a similar role Experience implementing multiple machine learning techniques such as supervised, unsupervised, reinforcement learning, Deep learning, NLP Experience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis Hands-on experience in delivering production-grade AI/ML projects Solid technical writing skills and must have published research papers in leading academic journals on topics related to Artificial Intelligence & Machine Learning Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions Proven sound understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch Solid understanding of mathematical and statistical concepts Proven excellent problem-solving and analytical thinking skills Solid communication and collaboration skills to work effectively in a team environment Preferred Qualifications Familiarity with the US Healthcare domain Experience in AIML R&D with demonstrable impact At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled and experienced Senior Manager, AI/ML to lead our dynamic team. The ideal candidate will have a robust development background in any programming stack, including but not limited to Java, .Net, Python, or Node.js. This role requires hands-on experience with AI/ML, preferably using cloud platforms such as AWS Bedrock, Google Vertex AI, or Azure AI. A solid understanding of Generative AI and the ability to manage multiple projects end-to-end is essential. Primary Responsibilities Leadership and Strategy: Lead and mentor a team of AI/ML engineers and data scientists Develop and implement AI/ML strategies aligned with business goals Drive innovation and stay updated with the latest industry trends and technologies Technical Expertise: Utilize solid development skills in programming languages such as Java, .Net, Python, or Node.js Oversee the design, development, and deployment of AI/ML models and solutions Ensure best practices in coding, testing, and deployment Project Management: Manage multiple AI/ML projects simultaneously, ensuring timely delivery and quality Collaborate with cross-functional teams to define project requirements and deliverables Monitor project progress and adjust plans as necessary to meet objectives Stakeholder Engagement: Communicate effectively with stakeholders to understand their needs and provide technical insights Present project updates, results, and recommendations to senior management Innovation and Research: Conduct research to identify new opportunities for AI/ML applications Encourage a culture of continuous learning and improvement within the team Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field 15+ years of experience in software development 3+ years of experience delivering solutions with a focus on AI/ML Proven experience in leading and managing technical teams Proven solid background in programming languages such as Java, .Net, Python, or Node.js Proven excellent problem-solving and analytical skills. Proven solid communication and interpersonal skills. Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch Proven ability to possess robust data engineering skills in EDA, building and maintaining AI/ML data pipelines Proven ability to work in a fast-paced, dynamic environment Preferred Qualifications Degrees, Diploma or Certifications in the field of AI/ML Experience with cloud platforms AI Stacks like AWS Bedrock, Azure AI, GCP Vertex AI #Exetech At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

We are seeking a highly skilled and experienced Senior Manager, AI/ML to lead our dynamic team. The ideal candidate will have a robust development background in any programming stack, including but not limited to Java, .Net, Python, or Node.js. This role requires hands-on experience with AI/ML, preferably using cloud platforms such as AWS Bedrock, Google Vertex AI, or Azure AI. A solid understanding of Generative AI and the ability to manage multiple projects end-to-end is essential. Primary Responsibilities :Leadership and Strategy :Lead and mentor a team of AI/ML engineers and data scientist sDevelop and implement AI/ML strategies aligned with business goal sDrive innovation and stay updated with the latest industry trends and technologie sTechnical Expertise :Utilize solid development skills in programming languages such as Java, .Net, Python, or Node.j sOversee the design, development, and deployment of AI/ML models and solution sEnsure best practices in coding, testing, and deploymen tProject Management :Manage multiple AI/ML projects simultaneously, ensuring timely delivery and qualit yCollaborate with cross-functional teams to define project requirements and deliverable sMonitor project progress and adjust plans as necessary to meet objective sStakeholder Engagement :Communicate effectively with stakeholders to understand their needs and provide technical insight sPresent project updates, results, and recommendations to senior managemen tInnovation and Research :Conduct research to identify new opportunities for AI/ML application sEncourage a culture of continuous learning and improvement within the tea mComply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do s o Required Qualification s:Bachelor’s or Master’s degree in Computer Science, Engineering, or a related fie ld15+ years of experience in software developme nt3+ years of experience delivering solutions with a focus on AI/ MLProven experience in leading and managing technical tea msProven solid background in programming languages such as Java, .Net, Python, or Node. jsProven excellent problem-solving and analytical skill s.Proven solid communication and interpersonal skill s.Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTor chProven ability to possess robust data engineering skills in EDA, building and maintaining AI/ML data pipelin esProven ability to work in a fast-paced, dynamic environme nt Preferred Qualificatio ns:Degrees, Diploma or Certifications in the field of AI /MLExperience with cloud platforms AI Stacks like AWS Bedrock, Azure AI, GCP Vertex AI #Exet ech

Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status. EEO/AA/M/F/Disabled/Vets Job Description : Role: Data Scientist Reporting to: Data Science Manager Location: Bangalore, India Work Arrangement : Hybrid, 3 days WFO Background Who we are We are Data Tech, a program that comprises a number of agile, cross-functional teams between London, Sofia, and Bangalore. We grow data platforms, build front-end data products, and create predictive models and Gen AI products for News UK. Our users include the newsroom editors, marketing, advertising, and product teams associated with our world-leading digital and print publications. From operations and infrastructure support to data technology and software development, we are committed to finding creative solutions to deliver essential news around the globe. We believe that technology will always be a tool driven by human intent. About The Role Who we are looking for At Data Tech, the home of Data Science within News UK, we are a growing team passionate about innovation and bold thinking. We empower our people with the autonomy to explore creative solutions and the curiosity to question everything. Our self-organized and highly motivated teams embrace challenges with optimism, constantly pushing the boundaries of what’s possible. With our work highly sought-after across the business, we deliver tremendous impact, shaping the future of data-driven decision-making. We are looking for a Data Scientist with strong AI Engineering skills in Generative AI, Machine Learning, and Google Cloud to join our dynamic team. In this pivotal role, you will dive deep into the world of Large Language Models (LLMs), exploring their intricate mechanics and capabilities. You’ll lead innovative projects leveraging GCP and cutting-edge AI tools, collaborating with a team of exceptional data scientists. If you have a passion for data, a drive to take bold risks, and the curiosity to innovate, this is your chance to make a meaningful impact. Our Current Tech Stack Infrastructure: ○ Built on Google Cloud Platform (GCP), leveraging its robust suite of tools for scalability, AI integration, and data management. Generative AI Development: ○ Products designed with Python, LangChain, and Vertex AI, enabling advanced AI capabilities such as LLM evaluation, prompt optimization, and domain-specific fine-tuning. Orchestration & Automation: ○ Workflow management powered by Cloud Composer and Langchian, ensuring reliable and efficient task scheduling for AI model pipelines and data orchestration. AI Innovation & Research: ○ Focused on LLM evaluation frameworks, RAG systems, and cutting-edge AI strategies, aligning with the skillset to stay at the forefront of AI advancements. Collaborative AI Development: ○ Seamless integration with cross-functional teams and innovative frameworks, supporting initiatives in AI-user interaction optimization and domain-specific AI models. Duties & Responsibilities Develop and implement frameworks to evaluate LLMs, models, and techniques. Explore and integrate the latest AI models and technologies. Build ML models to solve complex and impactful challenges. Enhance AI-user interactions using prompt engineering and optimization techniques. Collaborate with cross-functional teams to drive AI innovation. Partner with the Innovation team to advance AI strategies. Lead research on Retrieval-Augmented Generation (RAG) systems for better information retrieval. Experiment with training and fine-tuning LLMs for domain-specific tasks. Collaborate with a strong team of data scientists whose work is highly valued across the business. Skills & Competencies The Following Skills Are Essential Or Desirable. Experience with NLP and LLMs: 2+ years in Natural Language Processing (NLP). Good exposure with Large Language Models (LLMs) and Generative AI tools (e.g., OpenAI API, GPT-4, Bard, Synthesia, LangChain, Hugging Face Transformers). Experience with prompt engineering and vector database usage. Cloud and Deployment Expertise: Good exposure on working with cloud platforms (GCP). Proficient in MLOps, including CI/CD pipelines, containerization, and deploying AI models in production. Programming and Frameworks: Strong skills in Python, TensorFlow, PyTorch, and related frameworks. Experienced in querying large datasets using SQL. Machine Learning Expertise: In-depth understanding of machine learning algorithms and deep learning frameworks. Hands-on experience with LLMs like GPT-4, Gemini, and Claude. Applied research experience for prototyping and production-ready LLM development. Google Cloud Proficiency: Expertise with GCP services, including Vertex AI, Cloud Storage, Cloud Composer, and BigQuery. Additional Skills: Familiarity with Agile methodologies (e.g., SCRUM). Experience with machine learning libraries and tools such as Hugging Face and LangChain. Strong interest and foundational knowledge in LLMs and prompt engineering. This job is posted with NTS Technology Services Pvt. Ltd. Job Category: Show more Show less

Job Summary We are seeking a highly skilled Sr. Developer with 6 to 9 years of experience to join our team. The ideal candidate will have expertise in Google Vertex AI ML Ops Docker AI & ML Concepts Machine Learning Artificial Intelligence Google Cloud-Machine Learning Kubernetes Terraform and GIT. This role is based in our office and operates during day shifts. No travel is required. Responsibilities Lead the development and deployment of machine learning models using Google Vertex AI and other AI & ML tools. Oversee the implementation of ML Ops practices to ensure the smooth operation and maintenance of machine learning models. Provide expertise in Docker to containerize applications and manage their deployment. Utilize advanced AI & ML concepts to develop innovative solutions that meet business needs. Implement machine learning algorithms and models to solve complex problems and improve decision-making processes. Collaborate with cross-functional teams to integrate machine learning solutions into existing systems. Manage and optimize Google Cloud-Machine Learning resources for efficient model training and deployment. Use Kubernetes for orchestrating containerized applications and ensuring their scalability and reliability. Apply Terraform for infrastructure as code to automate the provisioning and management of cloud resources. Utilize GIT for version control and collaboration on code development. Ensure the quality and performance of machine learning models through rigorous testing and validation. Stay updated with the latest advancements in AI & ML technologies and incorporate them into the development process. Contribute to the continuous improvement of development processes and best practices. Qualifications Must have strong experience with Google Vertex AI and ML Ops. Must be proficient in Docker for containerization and deployment. Must have a deep understanding of AI & ML concepts and their practical applications. Must have hands-on experience with machine learning and artificial intelligence. Must be skilled in Google Cloud-Machine Learning for model training and deployment. Must have experience with Kubernetes for container orchestration. Must be proficient in Terraform for infrastructure as code. Must have experience with GIT for version control. Nice to have experience in integrating machine learning solutions into existing systems. Nice to have experience in collaborating with cross-functional teams. Nice to have experience in staying updated with the latest AI & ML advancements. Certifications Required Google Cloud Professional Machine Learning Engineer Certified Kubernetes Administrator (CKA) Docker Certified Associate

Job Summary We are seeking a highly skilled Sr. Developer with 6 to 9 years of experience to join our team. The ideal candidate will have expertise in Google Vertex AI ML Ops Docker AI & ML Concepts Machine Learning Artificial Intelligence Google Cloud-Machine Learning Kubernetes Terraform and GIT. This role is based in our office and operates during day shifts. No travel is required. Responsibilities Lead the development and deployment of machine learning models using Google Vertex AI and other AI & ML tools. Oversee the implementation of ML Ops practices to ensure the smooth operation and maintenance of machine learning models. Provide expertise in Docker to containerize applications and manage their deployment. Utilize advanced AI & ML concepts to develop innovative solutions that meet business needs. Implement machine learning algorithms and models to solve complex problems and improve decision-making processes. Collaborate with cross-functional teams to integrate machine learning solutions into existing systems. Manage and optimize Google Cloud-Machine Learning resources for efficient model training and deployment. Use Kubernetes for orchestrating containerized applications and ensuring their scalability and reliability. Apply Terraform for infrastructure as code to automate the provisioning and management of cloud resources. Utilize GIT for version control and collaboration on code development. Ensure the quality and performance of machine learning models through rigorous testing and validation. Stay updated with the latest advancements in AI & ML technologies and incorporate them into the development process. Contribute to the continuous improvement of development processes and best practices. Qualifications Must have strong experience with Google Vertex AI and ML Ops. Must be proficient in Docker for containerization and deployment. Must have a deep understanding of AI & ML concepts and their practical applications. Must have hands-on experience with machine learning and artificial intelligence. Must be skilled in Google Cloud-Machine Learning for model training and deployment. Must have experience with Kubernetes for container orchestration. Must be proficient in Terraform for infrastructure as code. Must have experience with GIT for version control. Nice to have experience in integrating machine learning solutions into existing systems. Nice to have experience in collaborating with cross-functional teams. Nice to have experience in staying updated with the latest AI & ML advancements. Certifications Required Google Cloud Professional Machine Learning Engineer Certified Kubernetes Administrator (CKA) Docker Certified Associate

Role : MLOps Engineer Location - Kochi Mode of Interview - In Person Data - 14th June 2025 (Saturday) Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities: Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps maturity in the organization. Proactively introduce a modern, agile and automated approach to Data Science. Conduct internal training and presentations about MLOps tools’ benefits and usage. Required experience and qualifications: Wide experience with Kubernetes. Experience in operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube). Good understanding of ML and AI concepts. Hands-on experience in ML model development. Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command line toolkit. Experience in CI/CD/CT pipelines implementation. Experience with cloud platforms - preferably AWS - would be an advantage.

Job Title : Senior AI/ML Engineer Experience : 5+ Years Location : Remote Job Type - Contractual Job Summary: We are seeking a highly motivated and experienced Senior AI/ML Engineer to join our remote team. In this role, you will design, develop, and deploy cutting-edge AI and machine learning solutions across cloud platforms. The ideal candidate has a passion for innovation, stays up to date with the latest developments in AI, and has hands-on experience with modern AI/ML tools, libraries, and agentic workflows. You will work closely with cross-functional teams to solve complex business problems and drive intelligent automation and decision-making. Key Responsibilities: AI/ML Model Development : Design, build, and deploy robust, scalable machine learning and deep learning models using Python, SQL, NoSQL, and standard ML libraries (e.g., Pandas, Scikit-learn, PyTorch, TensorFlow). Cloud Integration : Leverage cloud-based platforms such as AWS (SageMaker, Bedrock), GCP (Vertex AI, Gemini), Azure AI Studio, and OpenAI to develop and manage end-to-end AI/ML solutions. Model Deployment & Lifecycle Management : Automate deployment pipelines and monitor ML models in production for performance, drift, and retraining needs. Fine-Tuning & Customization : Fine-tune foundation models and LLMs for domain-specific applications using techniques like transfer learning, LoRA, and prompt engineering. Agentic AI Workflows : Implement and optimize agentic workflows involving task-oriented agents and multi-step reasoning pipelines. Architecture & Optimization : Architect data-driven solutions by applying advanced ML, statistical modeling, and deep learning techniques to solve real-world business challenges. Research & Innovation : Stay current with the latest advancements in AI, including GenAI, multi-modal models, RLHF, and experiment with new frameworks and technologies. Cross-Functional Collaboration : Work closely with data scientists, data engineers, product managers, and business stakeholders to translate business requirements into technical solutions. Required Skills & Qualifications: Programming : Expert-level proficiency in Python and SQL; experience working with NoSQL databases. ML/DL Libraries : Strong hands-on experience with Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch. Cloud Platforms : Proven experience with at least one major cloud provider (AWS/GCP/Azure), especially with ML tools like SageMaker, Vertex AI, Bedrock, Azure AI Studio, or OpenAI. Model Deployment : Experience with building, deploying, and monitoring models in production environments. LLMs & Fine-Tuning : Practical experience fine-tuning and integrating large language models (LLMs) using HuggingFace, LangChain, etc. Agentic AI : Experience with autonomous agents, LangChain Agents, AutoGPT, or similar agentic frameworks. Data Engineering : Ability to work with structured and unstructured data, data preprocessing, feature engineering, and pipeline creation. Soft Skills : Strong communication, collaboration, and problem-solving skills; ability to thrive in a fast-paced remote environment. Preferred Qualifications: Experience with RESTful APIs, Docker, and MLOps tools. Familiarity with generative AI tools and multimodal systems. Understanding of CI/CD for ML pipelines and model monitoring. Contributions to open-source AI/ML projects or published research. Why Join Us? Remote-first culture and flexible work hours Opportunity to work with the latest AI/ML technologies Challenging projects with global clients Competitive compensation and benefits Learning-centric environment with access to cloud credits, courses, and conferences Show more Show less

We are seeking a skilled and proactive DevOps Engineer with deep expertise in Google Cloud Platform (GCP), Google Kubernetes Engine (GKE), and on-premises Kubernetes platforms like OpenShift. The ideal candidate will have a strong foundation in Infrastructure as Code (IaC) using Terraform, and a solid understanding of cloud-native networking, service meshes (e.g., Istio), and CI/CD pipelines. Experience with DevSecOps practices and security tools is highly desirable. Key Responsibilities Design, implement, and manage scalable infrastructure on GCP (especially GKE google Kubernetes environment) and on-prem Kubernetes (OpenShift). Develop and maintain Terraform modules for infrastructure provisioning and configuration. Troubleshoot and resolve complex issues related to networking, Istio, and Kubernetes clusters. Build and maintain CI/CD pipelines using tools such as Jenkins, Codefresh, or GitHub Actions. Integrate and manage DevSecOps tools such as Blackduck, Checkmarx, Twistlock, and Dependabot to ensure secure software delivery. Collaborate with development and security teams to enforce security best practices across the SDLC. Support and configure WAFs and on-prem load balancers as needed. Required Skills & Qualifications 5+ years of experience in a DevOps or Site Reliability Engineering role. Proficiency in GCP and GKE, with hands-on experience in OpenShift or similar on-prem Kubernetes platforms. Strong experience with Terraform and managing cloud infrastructure as code. Solid understanding of Kubernetes networking, Istio, and service mesh architectures. Experience with at least one CI/CD tool: Jenkins, Codefresh, or GitHub Actions. Familiarity with DevSecOps tools such as Black Duck, Checkmarx, Twistlock, and Dependabot. Strong Linux administration and scripting skills. Nice To Have Experience with WAFs and on-prem load balancers. Familiarity with monitoring and logging tools (e.g., Prometheus, ELK stack, Dynatrace, Splunk). Knowledge of container security and vulnerability scanning best practices. Familiarity with GenAI, Google Vertex AI in Google Cloud. Show more Show less

We are looking for an experienced Lead Cloud Engineer specializing in Google Cloud Platform (GCP) with a strong background in application development. In this role, you will take ownership of designing, implementing, and optimizing cloud-based solutions while providing technical leadership to teams. If you thrive in a collaborative environment, have a passion for GCP technologies, and enjoy staying ahead of industry trends, we encourage you to apply. Responsibilities Design and implement scalable and reliable cloud-based solutions using GCP while adhering to established cloud architecture standards Develop and deploy Java applications leveraging GCP-native services such as GKE, Cloud Run, Firestore, Cloud SQL, and Pub/Sub Create detailed application architecture designs aligned with enterprise standards Select appropriate GCP services to meet functional and non-functional requirements Demonstrate in-depth knowledge of GCP PaaS, serverless, and database services Provide technical guidance and leadership to development and infrastructure teams throughout the project lifecycle Ensure all cloud solutions meet security and compliance requirements Continuously optimize cloud solutions for performance, scalability, and cost efficiency Keep up with the latest advancements in GCP technologies and industry best practices Explore and work with GCP GenAI solutions like Vertex AI and Gemini models Leverage front-end technologies like Angular or React when applicable Requirements Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field Over 5 years of hands-on experience as a Cloud Engineer or in a similar role At least 1 year of experience leading and managing technical teams Extensive experience in building, deploying, and maintaining applications on GCP Expertise in GCP services such as GKE, Cloud Run, Cloud SQL, Firestore, Firebase, Apigee, and App Engine Familiarity with GCP AI tools like Vertex AI and Gemini Code Assist Knowledge of GCP services like Memorystore, Service Mesh, and Cloud Monitoring Strong understanding of cloud security principles and experience implementing security measures in GCP environments Comprehensive knowledge of cloud architecture principles and best practices Experience with DevOps practices and automation tools such as Terraform Proficiency in English at a B2 level or higher, both written and spoken Nice to have Experience with large-scale data processing and analytics on cloud platforms Familiarity with multi-cloud environments and hybrid cloud strategies Background in mentoring and training team members on cloud technologies and best practices We offer International projects with top brands Work with global teams of highly skilled, diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities Opportunity to join and participate in life of EPAM's Employee Resource Groups EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn Show more Show less

We are seeking a highly experienced Lead Cloud Engineer with expertise in Google Cloud Platform (GCP) and a strong background in application development. In this role, you will lead the design, execution, and optimization of cloud-based solutions, while providing technical direction and mentorship to teams working on complex projects. If you are enthusiastic about GCP technologies, excel in collaborative environments, and enjoy leveraging innovative cloud advancements, this opportunity is perfect for you. Responsibilities Design and deliver scalable, efficient cloud solutions on GCP that align with architectural standards Develop and deploy Java applications using GCP-native services such as GKE, Cloud Run, Firestore, Cloud SQL, and Pub/Sub Create detailed application architecture designs to meet organizational goals Identify and implement GCP services to address both functional and operational needs Apply advanced knowledge of GCP platform services, serverless technologies, and database solutions Provide technical leadership and guidance to teams throughout all phases of project execution Ensure cloud solutions comply with security protocols and regulatory standards Optimize cloud solutions for better performance, scalability, and cost management Stay informed about new developments in GCP technologies and integrate relevant advancements into projects Utilize GCP GenAI tools such as Vertex AI and Gemini models Incorporate front-end technologies like Angular or React as needed Requirements Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field At least 5 years of hands-on experience in cloud engineering or similar positions A minimum of 1 year of experience managing and directing technical teams Proven track record of designing, deploying, and maintaining applications on GCP Expertise in GCP services, including GKE, Cloud Run, Cloud SQL, Firestore, Firebase, Apigee, and App Engine Familiarity with GCP AI tools such as Vertex AI and Gemini Code Assist Knowledge of additional GCP services like Memorystore, Service Mesh, and Cloud Monitoring Strong understanding of cloud security principles and experience implementing security measures within GCP environments In-depth knowledge of cloud architecture frameworks and best practices Hands-on experience with DevOps tools and automation technologies such as Terraform Proficiency in English, both written and spoken, at a B2 level or higher Nice to have Experience working with large-scale data processing and cloud-based analytics Understanding of multi-cloud strategies and hybrid cloud implementations Proven ability to mentor and train teams on cloud technologies and methodologies We offer International projects with top brands Work with global teams of highly skilled, diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities Opportunity to join and participate in life of EPAM's Employee Resource Groups EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn Show more Show less

We are seeking a skilled Lead Cloud Engineer with expertise in Google Cloud Platform (GCP) and a strong foundation in application development. In this position, you will be responsible for designing, implementing, and optimizing cloud solutions while providing technical leadership to teams. If you are passionate about GCP technologies, excel in collaborative settings, and enjoy exploring the latest industry innovations, we invite you to apply. Responsibilities Develop and implement scalable and efficient cloud solutions using GCP, following established architecture standards Build and deploy Java applications utilizing GCP-native services such as GKE, Cloud Run, Firestore, Cloud SQL, and Pub/Sub Design comprehensive application architectures that align with organizational goals Select and integrate GCP services to fulfill both functional and non-functional requirements Demonstrate expertise in GCP PaaS, serverless technologies, and database solutions Offer technical leadership and mentorship to development and infrastructure teams throughout the project lifecycle Ensure that all cloud solutions adhere to security and regulatory compliance requirements Optimize cloud solutions to enhance performance, scalability, and cost-effectiveness Stay informed about new GCP technologies and industry trends to incorporate into projects Work with GCP GenAI tools like Vertex AI and Gemini models Utilize front-end technologies such as Angular or React when needed Requirements Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related discipline More than 5 years of hands-on experience as a Cloud Engineer or in a similar role At least 1 year of experience leading and managing technical teams Proven experience designing, deploying, and maintaining applications on GCP Proficiency in GCP services, including GKE, Cloud Run, Cloud SQL, Firestore, Firebase, Apigee, and App Engine Familiarity with GCP AI tools like Vertex AI and Gemini Code Assist Knowledge of additional GCP services such as Memorystore, Service Mesh, and Cloud Monitoring Strong understanding of cloud security best practices and experience implementing security measures within GCP environments In-depth knowledge of cloud architecture principles and methodologies Experience with DevOps practices and tools for automation, such as Terraform Proficient in English, both written and spoken, at a B2 level or higher Nice to have Experience with processing and analyzing large-scale data on cloud platforms Understanding of multi-cloud strategies and hybrid cloud environments Proven ability to mentor and train team members on cloud technologies and workflows We offer International projects with top brands Work with global teams of highly skilled, diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities Opportunity to join and participate in life of EPAM's Employee Resource Groups EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn Show more Show less

We are seeking a highly skilled Lead Cloud Engineer with expertise in Google Cloud Platform (GCP) and a strong background in application development. In this role, you will oversee the design, development, and optimization of cloud solutions while providing technical direction to teams on complex projects. If you are passionate about GCP technologies, excel in collaborative settings, and enjoy leveraging the latest advancements in the cloud domain, we invite you to join our team. Responsibilities Design and deliver scalable and dependable cloud-based solutions on GCP, following established architectural guidelines Build and deploy Java applications using GCP-native services, including GKE, Cloud Run, Firestore, Cloud SQL, and Pub/Sub Create detailed application architecture blueprints that align with organizational goals Identify and implement GCP services to address functional and performance requirements Leverage advanced knowledge of GCP PaaS, serverless offerings, and database solutions Provide guidance and technical mentorship to development and infrastructure teams throughout project lifecycles Ensure cloud implementations meet security and compliance standards Optimize cloud solutions for performance, scalability, and cost-effectiveness Stay informed about new GCP tools and technologies, integrating relevant updates into solutions Work with GCP GenAI tools, including Vertex AI and Gemini models Utilize front-end technologies like Angular or React when necessary Requirements Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field A minimum of 5 years of hands-on experience in cloud engineering or a related role At least 1 year of experience in managing and leading technical teams Proven experience in designing, deploying, and maintaining GCP-based applications In-depth expertise with GCP services, including GKE, Cloud Run, Cloud SQL, Firestore, Firebase, Apigee, and App Engine Familiarity with GCP AI tools such as Vertex AI and Gemini Code Assist Knowledge of additional GCP services, including Memorystore, Service Mesh, and Cloud Monitoring Strong understanding of cloud security principles and experience implementing security controls on GCP Comprehensive knowledge of cloud architecture standards and best practices Experience with DevOps tools and automation platforms like Terraform Proficient in English, both written and spoken, at a B2 level or higher Nice to have Hands-on experience with processing and analyzing large-scale data in cloud environments Understanding of multi-cloud strategies and hybrid cloud implementation approaches Proven ability to mentor and train teams in cloud technologies and workflows We offer International projects with top brands Work with global teams of highly skilled, diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities Opportunity to join and participate in life of EPAM's Employee Resource Groups EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn Show more Show less

We are looking for an experienced Lead Cloud Engineer with a strong focus on Google Cloud Platform (GCP) and expertise in application development. In this position, you will be responsible for driving the design, implementation, and optimization of cloud-based solutions while offering technical leadership to teams on complex initiatives. If you are passionate about GCP technologies, thrive in collaborative environments, and enjoy working with cutting-edge cloud advancements, we encourage you to apply. Responsibilities Develop and implement reliable, scalable cloud solutions on GCP in alignment with architectural standards Build and deploy Java-based applications utilizing GCP-native services such as GKE, Cloud Run, Firestore, Cloud SQL, and Pub/Sub Design detailed application architecture plans that align with the organization’s objectives Select and configure GCP services to meet both functional and operational requirements Demonstrate expertise in GCP’s platform services, serverless technologies, and database solutions Provide technical leadership and mentorship to teams during all stages of project execution Ensure all cloud solutions adhere to security and compliance requirements Continuously enhance cloud solutions to improve performance, scalability, and cost efficiency Stay updated on advancements in GCP technologies and incorporate relevant updates into projects Work with GCP GenAI tools, including Vertex AI and Gemini models Incorporate front-end technologies such as Angular or React when required Requirements Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related discipline At least 5 years of hands-on experience in cloud engineering or similar roles Minimum of 1 year of experience in managing and leading technical teams Proven ability to design, deploy, and maintain applications on GCP Strong expertise in GCP services, including GKE, Cloud Run, Cloud SQL, Firestore, Firebase, Apigee, and App Engine Familiarity with GCP AI tools like Vertex AI and Gemini Code Assist Knowledge of additional GCP services such as Memorystore, Service Mesh, and Cloud Monitoring Deep understanding of cloud security practices and experience implementing security measures in GCP environments Thorough knowledge of cloud architecture principles and industry best practices Experience working with DevOps tools and automation platforms like Terraform Proficiency in English, both written and spoken, at a B2 level or higher Nice to have Experience working with large-scale data processing and analytics in cloud environments Knowledge of multi-cloud strategies and hybrid cloud solutions Proven experience mentoring and training teams in cloud technologies and best practices We offer International projects with top brands Work with global teams of highly skilled, diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities Opportunity to join and participate in life of EPAM's Employee Resource Groups EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn Show more Show less

We are looking for an experienced Lead Cloud Engineer with advanced skills in Google Cloud Platform (GCP) and a strong background in application development. In this role, you will lead the design, execution, and optimization of cloud-based solutions while guiding technical teams through complex projects. If you have a passion for GCP technologies, thrive in collaborative environments, and enjoy adopting new advancements in the cloud space, we encourage you to apply. Responsibilities Create and implement reliable and scalable cloud solutions on GCP, adhering to architectural standards Develop and deploy Java applications leveraging GCP-native services such as GKE, Cloud Run, Firestore, Cloud SQL, and Pub/Sub Craft detailed application architecture designs aligned with organizational objectives Select and configure GCP services to address both functional and non-functional requirements Show expertise in GCP PaaS, serverless solutions, and database services Provide technical leadership and mentorship to development and infrastructure teams throughout the lifecycle of projects Ensure all cloud implementations comply with security and regulatory standards Continuously refine cloud solutions to boost performance, scalability, and cost efficiency Stay updated on emerging GCP technologies and incorporate relevant advancements into solutions Work with GCP GenAI tools, including Vertex AI and Gemini models Incorporate front-end technologies such as Angular or React when appropriate Requirements Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field At least 5 years of hands-on experience in cloud engineering or a similar role Minimum of 1 year of experience managing and leading technical teams Proven track record of designing, deploying, and maintaining applications on GCP Strong proficiency with GCP services, including GKE, Cloud Run, Cloud SQL, Firestore, Firebase, Apigee, and App Engine Familiarity with GCP AI tools such as Vertex AI and Gemini Code Assist Experience with additional GCP services like Memorystore, Service Mesh, and Cloud Monitoring Solid understanding of cloud security practices and experience implementing security measures in GCP environments Thorough knowledge of cloud architecture principles and industry best practices Hands-on experience with DevOps tools and automation frameworks such as Terraform Fluent in English, both written and spoken, at a B2 level or higher Nice to have Experience working with large-scale data processing and analytics on cloud platforms Knowledge of multi-cloud strategies and hybrid cloud deployment models Experience mentoring and training teams on cloud technologies and best practices We offer International projects with top brands Work with global teams of highly skilled, diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities Opportunity to join and participate in life of EPAM's Employee Resource Groups EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn Show more Show less