33021 Gcp Jobs - Page 35

BMC is looking for a talented Python with AI/ML Developer to join our family working on complex and distributed software, developing, and debugging software products, implementing features, and assisting the firm in assuring product quality. To ensure youre set up for success, you will bring the following skillset & experience: Design and develop products using GenAI frameworks (LangChain, LangGraph, LlamaIndex, LiteLLM), RAG pipelines (Chunking strategies, Evaluation criteria, RAG Patterns) and OpenAI Protocol. Design and develop robust Restful APIs and Microservices using Twelve-Factor App and Microservices design patterns and leveraging AI/ML models hosted inhouse (vLLM, Nvidia Triton Inference Engines), on cloud (AWS Sagemaker, Azure AI) for real-time and batch inference using OpenAI/Custom protocols. Design and develop AI Tools, Agents using MCP (Model Context Protocol) , A2A (Agent-to-Agent) protocols, Agentic design patterns and frameworks Fine tune and adapt pre-trained models (GenAI, Predictive and Classification) using machine learning frameworks and libraries (PyTorch, TensorFlow, scikit-learn) to build domain specific products Develop and implement AI/ML usecases to drive actionable insights and business outcomes Provides complete documentation in the form of commented code, problem status information, and design documents. Work on complex problems where analysis of situations or data requires an in-depth evaluation of several factors. Self-learner, flexible and able to work in a multi-tasked and dynamic environment. Stay up to date with competing technologies and passionate about adapting technology to provide business-benefiting solutions balancing with platform limitations. Excellent communication skills: demonstrated ability to explain complex technical concepts to both technical and non-technical audiences. To ensure youre set up for success, you will bring the following skillset & experience: You have 8+ years of experience with application development using Python/Fast API, Java, RESTful services, high-performance, and multi-threading. Bachelors or masters degree in computer science, Statistics, Mathematics, Data Science, or a related field. Full Stack Developer with emphasis on [Python, Relational (PostGres) and Vector databases (FAISS, Weaviate, Milvus), Cloud Platforms/Services (AWS, GCP, Azure)] Good to have Frontend Development (Angular, React and SSR) experience Experience with machine learning frameworks and libraries (PyTorch, TensorFlow, scikit-learn). Experience with LangChain, LangGraph and LlamaIndex and LiteLLM for building LLM-powered applications Understanding of time-series modeling, anomaly detection, or clustering techniques. Experience with data engineering (ETL pipelines, data warehouses, etc.) and Hands-on exposure to model tracking (MLflow), serving (FastAPI, vLLM), and container orchestration frameworks (Kubernetes, DockerSwarm) Familiarity with observability tools and practices. Great communication skills, ability to explain predictive analytics to non-technical audience. You have knowledge of design patterns, object-oriented software development, high-performance code characteristics, SOLID principles of development, testing automation and performance at scale. Whilst these are nice to have, our team can help you develop in the following skills: CI/CD (Jenkins) environment with popular DevOps tools Experience with Agile methodology, use of Atlassian products Jira, Confluence ) You are familiar and can take advantage of advanced IDEs such as IntelliJ, Eclipse or VSCode

BMC is looking for a Java Tech Lead, an innovator at heart, to join a team of highly skilled software developers team. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Design and develop platform solution based on Java/J2EE best practices and web standards. Discover, design, and develop analytical methods to support novel approaches of data and information processing Lead/participate in all aspects of product development, from requirements analysis to product release. Lead feature/product engineering teams and participate in architecture and design reviews. Responsible for delivery of high quality commercial software releases to aggressive schedules. Good troubleshooting and debugging skills. Ability to lead and participate on empowered virtual teams to deliver iteration deliverables, and drive the technical direction of the product. Design enterprise platform using UML, process flows, sequence diagrams, and pseudo-code level details ensuring solution alignment. Develop and implement software solutions that leverage GPT, LLM, and conversational AI technologies. Integrate GPT and LLM models into the software architecture to enable natural language understanding and generation. To ensure youre set up for success, you will bring the following skillset & experience: You have 10+ experience in designing and developing complex framework and platform solutions with practical use of design patterns. You are expert in server-side issues such as caching, clustering, persistence, security, SSO, high scalability/availability and failover You have experience in big data engineering technologies such as: stream/stream processing frameworks. You are experience in open source Java frameworks such as OSGI, Spring, JMS, JPA, JTA, JDBC. Kubernetes, AWS, GCP and Azure cloud platforms You are experience in PostgreSQL database and Aspect oriented architectures. You are experience in open source participation and apache projects, patent process, in depth knowledge of App server architectures and SaaS enabling platforms. You are familiarity with REST API principles, object-oriented design, and design patterns. You have knowledge of fine tuning LLMs including BERT and GPT based Whilst these are nice to have, our team can help you develop in the following skills: Familiarity with data warehouse/data lake platforms Snowflake, Databricks, Bigquery Knowledge of cloud platforms Amazon AWS, Google GCP, Oracle OCI, Microsoft Azure Experience in Generative AI frameworks such as LangChain and LlamaIndex

About the Role: Acrocede Technologies Pvt Ltd is looking for a highly experienced AI/ML Architect to be deployed to our client Techversant , a global leader in digital transformation and technology services. This is a strategic, client-facing leadership role where you’ll lead the design and delivery of end-to-end AI solutions across cutting-edge domains. Work Mode : Remote or Onsite, depending on candidate location What You'll Do Work directly with clients to understand business problems and propose AI-driven solutions Architect and lead end-to-end AI/ML systems – from data ingestion to model deployment Guide AI/ML model selection, training, testing, and integration Build and mentor a high-performing AI team Drive delivery excellence using Agile methodologies and MLOps best practices Key Skills Required Strong expertise in AI/ML/DL , including models like CNN, RNN, Transformers, LLMs Programming: Python, PyTorch, TensorFlow, Scikit-learn, Hugging Face AI architecture design: microservices, APIs, cloud-native stacks Experience with AWS, Azure, or GCP ML services Familiarity with vector databases , MLOps tools (MLflow, Kubeflow, etc.), and data engineering (Spark, Kafka, Databricks) Excellent stakeholder communication and leadership skills Cloud certifications (AWS/GCP/Azure AI) preferred Good to Have Experience with Generative AI / LLMs / RAG / LangChain / Stable Diffusion Prompt engineering, fine-tuning, RLHF knowledge Previous contributions to research, publications, open-source, or AI certifications Understanding of explainable AI , ethical AI, and compliance

Lead DevOps team; manage infrastructure, automate deployment, design secure cloud (AWS, Azure, GCP), CI/CD pipelines, IaC (Terraform, Ansible), monitoring. Collaborate Dev, QA, Security; lead incident mgmt, ensure security, mentor team, new tools. Required Candidate profile Expertise in 2+ cloud platforms (AWS, Azure, GCP), CI/CD (Jenkins, GitLab), IaC (Terraform, Ansible), Docker, Kubernetes, monitoring (Prometheus, Grafana), scripting (Python, Bash)

Join our Team About this opportunity: We are delighted to announce an exciting opportunity to join Ericsson as a Developer. Within this role, you will have the chance to develop and maintain an array of products and services, spanning across components, units, nodes, networks, systems, and solutions. Your development journey in this role will range from requirement analysis, system design, architecture design, hardware design, software design, integration, simulation, tools design, Product Lifecycle Management (PLM) support, to creating product documentation. The role resonates profoundly with the Ericsson Product Development Principles. Please note that stage 8 and 9 Developer-specific governance and appointment rules are encapsulated within the job role. For further reference, a detailed description of the position outlining domain-specific responsibilities and authorities can be accessed on read more What you will do: - Engage in CEE10 Design DGS. - Undertake the SDI3 Upgrade. - Proactively share knowledge and collaborate with team members. - Design solutions using SDI3. - Incorporate SDI3 into system integration. - Oversee General Duties within a Cyclic Exec Environment (GDCE). The skills you bring: - CEE10 Design DGS. - SDI3 Upgrade. - Knowledge Sharing and Collaboration Skills. - SDI3 Solution Design. - SDI3 Integration. - GDCE. - Coaching and Mentoring. - Innovation and Creativity. - Google GCP. - AWS Public Cloud.

AI Engineer Technical Associate (Freshers) - Galaxy Office Automation AI Engineer Technical Associate (Freshers) Job Category: Artificial Intelligence Job Type: Full Time Job Location: Mumbai Experience: Fresher About the Role: We are looking for a passionate and motivated AI Engineer (Fresher) who is eager to start their career in the field of Artificial Intelligence and Machine Learning. You will work alongside experienced AI/ML professionals on real-world projects, gain hands-on experience with modern AI tools, and contribute to building intelligent solutions that solve business challenges. Key Responsibilities: Assist in developing and testing AI/ML models using Python and popular frameworks Work on data preprocessing, feature engineering, and exploratory data analysis Support implementation of solutions in areas like NLP, Computer Vision, or Generative AI Collaborate with data engineers to understand and maintain ML pipelines Stay updated with trends in AI/ML technologies and research Participate in model validation, performance tracking, and documentation Gain exposure to cloud platforms (AWS, GCP, Azure) and MLOps tools Learn to contribute to A/B testing, CI/CD pipelines, and version control What We re Looking For: Basic knowledge of Python and AI/ML Familiarity with deep learning concepts and architectures Interest or exposure to NLP Understanding of how AI is used in real-world business applications Good problem-solving skills and a willingness to learn in a fast-paced environment Projects, internships, or coursework in AI/ML will be an added advantage Bachelor s or Master s degree in Computer Science, AI, Data Science, or a related field

Aurionpro Solutions Limited is a global leader in providing advanced technology solutions with a focus on Banking, Payments, Transit, Data Center Services, and Government sectors, leveraging Enterprise AI to Make comprehensive technology for our clients worldwide. Formed in 1997 and headquartered in Mumbai, Aurionpro prides itself on its deep domain knowledge, interconnected IP, global footprint and a flexible, passionate approach to business. Our client base of over 300 institutions that trust Aurionpro with their mission-critical technology needs is backed by our team of 2500 professionals making Aurionpro one of the deepest pools of fintech, deep-tech and AI talent in the industry. It is underpinned by a flexible approach, an emphasis on passion and working across boundaries and a mentoring, learning culture. This translates into high growth success: Aurionpro grew more than 30% last FY to cross the $100m barrier. To know more about the organization you may go through the company website : - www.aurionpro.com or feel free to speak to me. Key Responsibilities: Acts as a servant leader, guidingteams on Agile/Scrum practices and facilitating Scrum ceremonies. Coaches teams to be self-organizing and high-performing, fostering a culture ofcontinuous improvement. Works closely with PO s to manage product/sprint backlog, defines user stories,and prioritizes features. Identifies and removes blockers to ensure smooth project execution. Ensures deliverables meet the DoD and maintains high-quality standards. Tracks and reports Agile metrics to stakeholders for transparency and improvement. Coordinates cross-functional dependencies across teams and externalstakeholders. Collaborates with engineering and leadership teams to drive Agile maturity. Leads change management efforts to scale Agile adoption across theorganization. Required Qualifications Skills: Strong knowledge of Agile frameworks (Scrum, Kanban, SAFe, XP, Crystal). Proven experience managing Agile teams and driving Agile transformations. Proficiency in Agile project management tools (JIRA, Confluence, etc.). Excellent facilitation, coaching, and conflict-resolution skills. Strong analytical skills with experience in tracking Agile performance metrics. Must hold at least one of the following certifications: CSM, A-CSM, CSP-SM, PSM(I, II, or III), SSM, or an equivalent Agile/Scrum certification. Nice to Have: Experience with Agile transformations in large,cross-functional teams. Understanding of DevOps, CI/CD, and Agile engineering practices (TDD, BDD,automated testing). Conceptual knowledge of programming, databases, APIs, and cloud platforms likeAzure, AWS, or GCP.

Techversant is seeking a highly skilled and experienced AI/ML Lead to lead the design and implementation of our artificial intelligence and machine learning solutions. The successful candidate will work closely with cross-functional teams to understand business requirements and develop scalable, efficient, and robust AI/ML systems. Job Description As a AI/ML Lead, you will need to build Solutions based on Deep learning, Reinforcement learning, Computer vision, Expert system, Transfer Learning, NLP, and generative models. To Define, design, and deliver ML architecture patterns operable in native and hybrid cloud architectures. Implement machine learning algorithms in services and pipelines that can be used on a web scale. Create demos and proofs of concept, develop AI/ML based products and services. Creating Functional and technical specifications for AI ML solutions. Follow SDLC process. Advanced analytical knowledge of data and data conditioning. Programming advanced computing and developing algorithms. Developing software, data models and executing predictive analysis. Design, develop, and implement generative AI models using state-of-the-art techniques. Collaborate with cross-functional teams to define project goals, research requirements and develop innovative solutions. Strong proficiency in Python/R/Scala (Python is a must and R, Scala is a plus). Strong proficiency in SQL, NO SQL Databases. Experience in implementing and deploying AI\ Machine Learning solutions (using various models, such as CNN, RNN, Fuzzy logic, Q learning, SVM, Ensemble, Logistic Regression, Random Forest etc.) Specializes in at least one of the AI/ML stack, Frameworks, and tools like MxNET and Tensorflow. Hands-on experience with data analytics and classical machine learning, deep learning tools (e.g. Pandas, NumPy, Scikit-learn) and deep learning frameworks (e.g. Tensorflow, Pytorch). What will make you stand out Experience in production software engineering routines in DevOps/MLOps (e.g.Continuous Code Integration and Deployment). Experiences in cloud-based solutions (e.g. AWS, Azure, GCP). B.Tech/M.Tech/Ph.D CS/IS/IT or Msc Statistics, MCA Excellent career growth opportunities and exposure to multiple technologies. Fixed weekday day schedule, meaning, you ll have your weekends off! Unique leave benefits and encashment options based on performance. Fun family environment surrounded by experienced developers. Various internal employee rewards programs based on Performance. Opportunities for various other Bonus programs for training hours taken, certifications, special value to business through idea and innovation. Work life Balance flexible work timings, early out Fridays, various social and cultural activities etc.

Job Description Design, implement, and manage CI/CD pipelines. Proficiency with Build, manage, and automate infrastructure provisioning using Terraform, Ansible, phython, or similar Infrastructure-as-Code (IaC) tools. Continuously integrate security into pipelines and perform vulnerability assessments and remediations. Hands-on experience with Containerize applications and services using Docker and manage orchestration via Kubernetes. Collaborate with development and operations teams to troubleshoot deployment issues, optimize performance, security vulnerabilities and resolve infrastructure bottlenecks. Implement automated rollback strategies and improve deployment reliability. Proven experience with monitoring and observability tools like Prometheus, Grafana, Datadog, or CloudWatch. Maintain and monitor cloud environments (AWS, Azure, or GCP) to ensure availability, scalability, and security. Experience with core networking, cloud security practices, and distributed system architecture. Monitor and evaluate emerging trends in DevOps practices, cloud service advancements, and infrastructure automation frameworks to ensure the adoption of modern, scalable solutions. Ensure detailed and accurate documentation of infrastructure components, system operations, and CI/CD pipelines. Hands-on experience with administering and maintaining Linux-based systems. Qualifications Requirements: Bachelors degree in Computer Science, Information Technology, or related field. 6+ years of experience in AWS / Azure DevOps, AWS / Azure services.

Join our Team About this opportunity: We are looking for a Senior Machine Learning Engineer with 10+ years of experience to design, build, and deploy scalable machine learning systems in production. This is not a data science role we are seeking an engineering-focused individual who can partner with data scientists to productionize models, own ML pipelines end-to-end, and drive reliability, automation, and performance of our ML infrastructure. You ll work on mission-critical systems where robustness, monitoring, and maintainability are key. You should be experienced with modern MLOps tools, cloud platforms, containerization, and model serving at scale. What you will do: Design and build robust ML pipelines and services for training, validation, and model deployment. Work closely with data scientists, solution architects, DevOps engineers, etc. to align the components and pipelines with project goals and requirements. Communicate deviation from target architecture (if any). Cloud Integration: Ensuring compatibility with cloud services of AWS, and Azure for enhanced performance and scalability Build reusable infrastructure components using best practices in DevOps and MLOps. Security and Compliance: Adhering to security standards and regulatory compliance, particularly in handling confidential and sensitive data. Network Security: Design optimal network plan for given Cloud Infrastructure under the E// network security guidelines Monitor model performance in production and implement drift detection and retraining pipelines. Optimize models for performance, scalability, and cost (e.g., batching, quantization, hardware acceleration). Documentation and Knowledge Sharing: Creating detailed documentation and guidelines for the use and modification of the developed components. The skills you bring: Strong programming skills in Python Deep experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost). Hands-on with MLOps tools like MLflow, Airflow, TFX, Kubeflow, or BentoML. Experience deploying models using Docker and Kubernetes. Strong knowledge of cloud platforms (AWS/GCP/Azure) and ML services (e.g., SageMaker, Vertex AI). Proficiency with data engineering tools (Spark, Kafka, SQL/NoSQL). Solid understanding of CI/CD, version control (Git), and infrastructure as code (Terraform, Helm). Experience with monitoring/logging (Prometheus, Grafana, ELK). Good-to-Have Skills Experience with feature stores (Feast, Tecton) and experiment tracking platforms. Knowledge of edge/embedded ML, model quantization, and optimization. Familiarity with model governance, security, and compliance in ML systems. Exposure to on-device ML or streaming ML use cases. Experience leading cross-functional initiatives or mentoring junior engineers. Why join Ericsson What happens once you apply Primary country and city: India (IN) || Bangalore Req ID: 770160

As a Lead Product Developer, you will play a pivotal role in the design, development, and delivery of the BMC Helix suite. You will collaborate with cross-functional teams, including Product Management, Architects, Quality Engineering, and DevSecOps, to lead initiatives that align with our vision of creating intelligent, customer-centric solutions. This role is ideal for a highly skilled technologist passionate about creating scalable, high-performance SaaS products in a fast-paced, Agile environment. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Lead the development of core features and modules for the Helix ITSM/ITOM platform. Architect, design, and implement microservices using modern frameworks and technologies like Java, Spring Boot, Kubernetes, and RESTful APIs. Ensure high-quality code by adhering to best practices and industry standards. Collaborate with Product Managers to understand requirements and align technical solutions with business goals. Mentor and guide junior developers, fostering a culture of innovation and technical excellence. Work closely with Quality Engineers to define robust testing strategies, including automated and performance testing. Drive innovation through R&D, focusing on enhancing AI-driven capabilities in areas like predictive analytics and automation. Analyze and resolve complex technical issues, ensuring scalability and performance of the product. Collaborate with DevSecOps teams to ensure seamless CI/CD pipelines and maintain product security standards. Participate in product deployment, upgrade, and security processes, ensuring compliance with industry regulations. Incorporate user feedback into product enhancements, ensuring alignment with customer needs and market trends. Act as a technical liaison for key customers during critical escalations. To ensure youre set up for success, you will bring the following skillset & experience: Bachelors or Masters degree in Computer Science/IT, Engineering, or related field. 10+ years in software development, with at least 2+ years as Technical Lead or equivalent. Proficient in Java (11+), Spring Boot, RESTful API development, and Microservices architecture. Experience in designing and developing complex framework and platform solutions with practical use of design patterns. Expertise with unit/integration testing, test driven development and related modern best practices/technologies Experience with open-source Java frameworks such as OSGI, Spring, Hibernate, Maven, JSecurity, JMS, JPA, JTA, JDBC. Experience with server-side issues such as caching, clustering, persistence, security, SSO, state management, high scalability/availability, and failover. Experience implementing Business Process Management software and integrating complex enterprise systems. Experience with PostgreSQL, Oracle or MS-SQL databases and Aspect oriented architectures. Good understanding of web services and SOA standards like REST, SOAP, XML, etc. Good understanding of microservices architecture, including Kubernetes, Docker and Kafka Excellent communication skills: demonstrated ability to explain complex technical issues to both technical and non-technical audiences. Must have strong decision-making skills; take-charge personality, and the ability to drive a plan to completion. Experience with open-source participation and apache projects, patent process, in depth knowledge of App server architectures and SaaS or PaaS enabling platforms is a big plus. Hands-on experience with container orchestration tools like Kubernetes and Docker. Knowledge of DevSecOps tools (e.g., Jenkins, Terraform, Helm, Ansible) and security practices. Familiarity with cloud platforms (AWS, Azure, GCP) and SaaS environments. Strong communication and leadership abilities. Problem-solving mindset with a customer-first approach. Ability to manage multiple priorities in a dynamic, fast-paced environment. Whilst these are nice to have, our team can help you develop in the following skills: Experience with AI/ML integration in SaaS applications. Knowledge of ITIL/ITSM processes and tools.

Who We Are:Netcore Cloud is a MarTech platform helping businesses design, execute, and optimize campaigns across multiple channels. With a strong focus on leveraging data, machine learning, and AI, we empower our clients to make smarter marketing decisions and deliver exceptional customer experiences. Our team is passionate about innovation and collaboration, and we are looking for a talented Senior Data Scientist to join our team and work on impactful, high-scale projects.Role Summary:As a Senior Data Scientist, you ll work on developing, deploying, and optimizing advanced machine learning solutions across a range of problem statements such as personalization, customer segmentation, predictive modeling, and NLP. This is a high-impact role that will allow you to collaborate across cross-functional teams and contribute directly to our product innovation roadmap.What Youll Do:Model Development and Innovation: Design and implement ML models for problems including recommendation engines, user segmentation, conversion prediction, and NLP-based automation Stay on top of the latest research in AI/ML and evaluate new approaches (e.g., LLMs, generative AI) for practical application. Optimise model performance, scalability, and interpretability for production systems.MLOps & Deployment Contribute to the deployment of models into production environments using MLOps best practices. Leverage platforms such as AWS SageMaker or Google Vertex AI for training, tuning, and scaling models. Data & Experimentation Work with large-scale, real-time datasets to derive actionable insights and build data pipelines for ML training and evaluation. Design and run experiments (A/B testing, uplift modeling, etc.) to validate hypotheses and improve product KPIs.Technology and Tools: Work with large-scale datasets, ensuring data quality and scalability of solutions. Leverage cloud platforms like AWS, GCP for model training and deployment. Utilize tools and libraries such as Python, TensorFlow, PyTorch, Scikit-learn, and Spark for development. With so much innovation happening around Gen AI and LLMs, we prefer folks who have already exposed themselves to this exciting opportunity via AWS Bedrock or Google Vertex.Cross-functional Collaboration Partner with product, engineering, and marketing teams to understand business requirements and translate them into data science solutions.Who You Are:Education: Bachelors from Tier 1 premier institute in relevant field, or; Master s or PhD in Computer Science, Data Science, Mathematics, or a related field.Experience: 4 6 years of hands-on experience in machine learning or data science roles. Proven expertise in machine learning, deep learning, NLP, and recommendation systems. Hands-on experience deploying ML models in production at scale. Experience in a product-focused or customer-facing domain such as Martech, Adtech, or B2B SaaS is a plus.Technical Skills: Proficiency in Python, SQL, and ML frameworks like TensorFlow or PyTorch. Strong understanding of statistical methods, predictive modeling, and algorithm design. Familiarity with cloud-based solutions (AWS Sagemaker, GCP AI Platform, or similar).Soft Skills: Strong analytical and problem-solving mindset. Excellent communication skills to articulate data-driven insights. A passion for innovation and staying up-to-date with the latest trends in AI/ML.Why Join Us: Opportunity to work on cutting-edge AI/ML projects impacting millions of users. Be part of a collaborative, innovation-driven team in a fast-growing Martech company. Competitive compensation and growth opportunities in a fast-paced environment.We d love to hear how your background can contribute to building the next generation of intelligent marketing solutions. Apply now or reach out for a conversation. :)

Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Play a vital role in project design to ensure scalability, reliability, and performance are met Design and develop new features as well as maintain existing features by adding improvements and fixing defects in complex areas (using Java) Assist in troubleshooting complex technical problems in development and production Implement methodologies, processes & tools Initiate projects and ideas to improve the teams results On-board and mentor new employees To ensure youre set up for success, you will bring the following skillset & experience: You have 10+ years of experience in Java Backend development You have experience as a Backend Tech Lead and must have worked on Scala. You have experience in Spring, Swagger, REST API You worked with Spring Boot, Docker, Kubernetes You are a self-learner whos passionate about problem solving and technology You are a team player with good communication skills in English (verbal and written) Whilst these are nice to have, our team can help you develop in the following skills: Public Cloud (AWS, Azure, GCP) Python, Node.js, C/C++ Automation Frameworks such as Robot Framework

Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Analysis of design and determining test scripts, coding, automation, and integration activities required based on specific objectives and established project guidelines. Executes and writes portions of testing plans, protocols, and documentation for assigned portion of application; identifies and debugs issues with code and suggests changes or improvements. Collaborates and communicates with internal and outsourced development partners regarding software applications design status, project progress, and issue resolution. Resolve technical issues of projects and explore alternate design solutions wherever required. Participates as a team member and fosters teamwork by inter-group coordination within the modules of the project. Effectively collaborates and communicates with the stakeholders and ensure customer satisfaction. To ensure youre set up for success, you will bring the following skillset & experience: 2+ years direct experience in software development test engineering (SDET) role in an Agile software development environment 2+ years in software development and test engineering experience with large enterprise product 2+ years direct experience developing automated tests in one or more of Python, (e.g. Selenium or Protractor) using Robot or equivalent frameworks. Technical skills Good knowledge in Selenium and other API frameworks using Python Ability to implement various design patterns in Test Automation and analysing test results/ logs/execution reports. Knowledge in Continuous Integration (CI) test like Jenkins, Docker, Kubernetes Knowledge in build systems and pipelines like Maven, Gradle and Jenkins Knowledge in remote repositories, Cloud Technologies Well versed with Windows and Linux environments using VMWare, Nutanix etc Understanding of Git, Jira, Confluence, XWiki Understanding the basic of networking concepts, Scripting languages Document test execution issues and deliverables. Whilst these are nice to have, our team can help you develop in the following skills Experienced in using Business Driven Development / Test Driven Development test methodology or test case automation. Experience in Cloud solutions like AWS, GCP, Azure etc Troubleshooting, debugging and reverse-engineering skills on Linux

We are seeking a highly skilled and experienced **Technical Project Manager** to lead and manage software development projects. The ideal candidate should have a strong technical background, coupled with extensive managerial experience, to drive project success within an Agile environment. The role involves overseeing a team working on a tech stack that includes **.NET CORE, MVC, Web API, EF CORE (Backend), ReactJS, Next JS, GraphQL, RESTful API (Frontend), and Selenium (QA Specialist).** Experience in **Agile methodologies (Scrum/Kanban)** is a must. - Lead, plan, and execute multiple software development projects within scope, timeline, and budget. - Collaborate with stakeholders to define project objectives, deliverables, and success metrics. - Ensure seamless communication between technical and non-technical stakeholders. - Manage project risks, dependencies, and constraints to ensure timely delivery. - Oversee development teams working on backend and frontend technologies, ensuring alignment with architectural standards. - Implement and enforce Agile (Scrum, Kanban) best practices to improve productivity and efficiency. - Conduct sprint planning, daily stand-ups, sprint reviews, and retrospectives. - Work closely with Quality Assurance (QA) teams to ensure testing and validation using Selenium. - Provide mentorship and guidance to development and QA teams. - Monitor and report project progress, KPIs, and resource utilization. - Drive continuous improvement initiatives to optimize software development and delivery processes. **Must-Have Skills:** - **Project Management:** Proven track record in managing large-scale software development projects. - **Technical Expertise:** Strong understanding and experience with: - Backend: **.NET CORE, MVC, Web API, EF CORE** - Frontend: **ReactJS, Next JS, GraphQL, RESTful API** - QA: **Selenium** - **Agile Methodologies:** Hands-on experience with **Scrum and Kanban** frameworks. - **Leadership & Communication:** Strong people management skills with the ability to lead cross-functional teams. - **Stakeholder Management:** Ability to work with executives, customers, and development teams effectively. - **Risk Management:** Experience in identifying and mitigating risks in software projects. **Good-to-Have Skills:** - Experience in **Cloud Platforms (AWS, Azure, or GCP)** - Knowledge of **CI/CD Pipelines and DevOps practices** - Exposure to **Microservices Architecture** - Experience with **JIRA, Confluence, or similar Agile tools** - Strong understanding of **API security best practices** - Certification in **PMP, CSM, or SAFe Agile**

Who We Are Simpplr is the AI-powered platform that unifies the digital workplace bringing together engagement, enablement, and services to transform the employee experience. It streamlines communication, simplifies interactions, automates workflows, and elevates the everyday experience of work. The platform is intuitive, highly extensible, and built to integrate seamlessly with your existing technology. More than 1,000 leading organizations including AAA, the NHS, Penske, and Moderna trust Simpplr to foster a more aligned and productive workforce. Headquartered in Silicon Valley with global offices, Simpplr is backed by Norwest Ventures, Sapphire Ventures, Salesforce Ventures, and Tola Capital. Learn more at simpplr.com . Job Responsibilities What you will be doing: Work in a talented cross-functional team to develop new user-facing features using TypeScript/ JavaScript on both the frontend and backend. If youve never used TypeScript/ Javascript before, don t worry, well help you learn. Ensure all code is thoroughly covered by automated unit tests and end-to-end tests and that all features meet quality checks before deployment. Quality is incredibly important to us and everybody is responsible for it. Contributing to the constant improvement of practices and processes in the team. Research new technologies and tools and share your learning with the rest of the team. Participate in agile ceremonies; regularly and sustainably delivering value in two-week sprints. Work with our existing AWS platform team to deploy infrastructure using Kubernetes Help influence the overall architecture and direction of the application. Your Skillset What makes you a great fit for the team: You are user focused we solve our customer s problems together; everybody has a say in planning, design & execution. You are a problem solver with exceptional analytical skills and high attention to detail You re familiar with both relational databases and NoSQL solutions and you know when to use each. 2+ years of experience with at least + years of experience deploying and maintaining applications on any cloud platform (AWS, Azure, GCP, etc.). You love identifying new technologies, patterns, and techniques and planning out how we can apply them to improve productivity, code quality and user experience. Affinity for profiling and analyzing code to identify areas for improvement. Good understanding of CI/CD, unit testing, and automated end-to-end testing. Strong knowledge and understanding of functional programming patterns. Experience in NodeJS is mandatory Experience in building microservices-based architectures Ability to deliver in a global team environment with members working remotely in various time zones and locations You have excellent written and oral communication skills, with an ability to handle both executive-level discussions as well as technical deep dives You thrive in a fast-paced startup environment, successfully handle ambiguity, and have experience working with Agile methodologiesExcited by working in a fast-paced startup environment. Able to occasionally travel to our other offices in Toronto, Brighton and San Francisco. Able to lead by an example and operate in an environment promoting diversity, inclusion and respect Simpplr s Hub-Hybrid-Remote Model: At Simpplr we believe that when work is good, life is better and that belief guides all we do. Including how we approach our flexible work model. Simpplr operates with a Hub-Hybrid-Remote model. This model is role-based with exceptions and provides employees with the flexibility that many have told us they want. Hub - 100% work from Simpplr office. Role requires Simpplifier to be in the office full-time. Hybrid - Hybrid work from home and office. Role dictates the ability to work from home, plus benefit from in-person collaboration on a regular basis. Remote - 100% remote. Role can be done anywhere within your country of hire, as long as the requirements of the role are met.

":" Core Responsibilities: Design and develop data pipelines and workflows within Palantir Foundry Build and manage Ontology objects to enable semantic reasoning over data Configure and maintain data integrations from various sources (JDBC, SFTP, APIs) Write clean, efficient code using Python, Java, Scala, and SQL Collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions Perform data quality checks and ensure reliability across Foundry applications Participate in code reviews, agile ceremonies, and contribute to best practices Troubleshoot and resolve issues in Foundry applications and pipelines Stay updated on Foundry features, AIP capabilities, and platform enhancements Requirements 36 years of experience in software development or data engineering 2+ years of hands-on experience with Palantir Foundry Strong understanding of data modeling, ETL processes, and data warehousing Proficiency in Python, Java, or Scala Experience with SQL and relational databases Familiarity with cloud platforms like AWS, Azure, or GCP Excellent problem-solving, communication, and collaboration skills Preferred Qualifications: Experience with Palantir Foundry/AIP and LLMs Knowledge of DevOps practices, ontology design, and access control Exposure to data visualization tools (e.g., Tableau, Power BI) Familiarity with big data technologies like Spark or Hadoop Palantir certifications (e.g., Foundry Developer, Data Engineer) Benefits " , "Work_Experience":"3-6years" , "Job_Type":"Full time" , "Job_Opening_Name":"Palantir Foundry/AIP Developer" , "State":"Maharashtra" , "Country":"India" , "Zip_Code":"411045" , "id":"86180000007419270" , "Publish":true , "Date_Opened":"2025-07-23" , "Keep_on_Career_Site":false}]);

Job Description Team Overview The Winning AI Home team, part of Freshworks SaaS@scale mothership BU - Cloud Engineering, is seeking a highly motivated and skilled AI Applications Engineer. This role is pivotal in driving the development and deployment of cutting-edge AI solutions within our product ecosystem. Role Description We are looking for an AI Applications Engineer (IC3) with a strong full-stack background who deeply understands Large Language Models (LLMs) and the nuances between Generative AI (GenAI), Agentic AI, and AI Agents. The ideal candidate will have hands-on experience building AI applications using Agentic frameworks and possess a solid understanding of both front-end and back-end development. Responsibilities Design, develop, and deploy AI applications leveraging LLMs and Agentic frameworks. Implement and optimize Retrieval-Augmented Generation (RAG) systems to enhance LLM accuracy and contextual understanding. Develop and deploy AI Agents for multi-step reasoning and automation of complex tasks. Fine-tune pre-trained models for specific use cases and improve application performance. Collaborate with cross-functional teams to integrate AI solutions into existing products. Conduct performance benchmarking and evaluation of AI applications using metrics like groundedness, correctness, and hallucination. Ensure Responsible AI principles are integrated throughout the development lifecycle. Maintain and troubleshoot AI infrastructure on cloud platforms. Qualifications Experience : 3-7 Years AI Expertise - Strong understanding of LLMs, GenAI, Agentic AI, and AI Agents.- Experience with Agentic frameworks such as Lang

We are seeking a Machine Learning Engineer to develop core ML models for product development. The ideal candidate will have a strong foundation in machine learning principles with experience in building and deploying ML models. Familiarity with Generative AI and Agentic AI is a plus. Key Responsibilities Design, develop, and integrate machine learning models into products. Collaborate with teams to translate requirements into actionable ML models. Enhance and optimize ML pipelines for efficiency and reliability. Apply best practices for ML development and deployment. Utilize generative AI technologies to create innovative product features. Required Qualifications A minimum of 3 years of experience working with ML models in production environments. Strong knowledge of machine learning algorithms, frameworks, and concepts. Proficiency with one or more deep learning frameworks such as PyTorch or TensorFlow. Expertise in Python and associated libraries (e.g., scikit-learn, pandas, numpy). Experience in integrating ML-based features into end-user products. Knowledge in ML operations including model serving, monitoring, and lifecycle management. Insights into generative AI, including large language models and other architectures. Preferred Qualifications Experience in prompt engineering and fine-tuning large language models. Familiarity with vector databases and retrieval-augmented generation techniques. Hands-on experience with cloud computing platforms such as AWS, GCP, or Azure for ML operations. Understanding of container-based deployment technologies such as Kubernetes and Docker.

About the Role: We are seeking a talented and motivated Mid-Level Gen AI / AI Engineer to join our team. In this role, you will be responsible for designing, developing, and deploying innovative AI solutions, with a focus on generative AI and RAG architectures. You will work closely with cross-functional teams to bring cutting-edge AI products to market. Key Responsibilities: Model Development and Fine-tuning: Develop and fine-tune state-of-the-art generative AI models, such as large language models and image generation models. Implement techniques for model optimization, including quantization, pruning, and knowledge distillation. RAG Architecture: Design and implement robust RAG architectures to enable efficient information retrieval and generation. Integrate diverse data sources and knowledge bases into RAG systems. Optimize query processing and response generation for optimal performance. AI System Development: Build scalable and reliable AI systems, including APIs, microservices, and data pipelines. Collaborate with ML Ops engineers to deploy and manage AI models in production environments. Experimentation and Innovation: Stay up-to-date with the latest advancements in AI research and explore new techniques. Conduct experiments to improve model performance and system efficiency. Contribute to a culture of innovation and continuous learning. Qualifications and Experience: Bachelors degree in Computer Science, Computer Engineering, or a related field. 2+ years of experience in AI/ML, with a focus on generative AI and RAG architectures. Strong programming skills in Python and experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Strong and demonstratable skills in GenAI technologies, like OpenAI, Anthropic, or Llama Hands-on experience with natural language processing (NLP), computer vision, and machine learning techniques. Knowledge of cloud platforms (AWS, Azure, GCP) and their AI/ML services. Excellent communication and problem-solving skills.

Job Description Develop ML and Deep Learning Solutions Create predictive, classification, and optimization models using supervised, unsupervised, and reinforcement learning. Design and Implement Generative AI Systems Build and fine-tune Large Language Models (LLMs) and diffusion models for a range of use cases involving text, code, and multi-modal data. Build Scalable Recommendation Engines Develop and optimize recommendation systems using collaborative filtering, content-based filtering, hybrid models, or sequential models. Cloud-Native ML Engineering Deploy and manage machine learning pipelines and APIs in cloud environments (AWS, GCP, Azure),ensuring scalability, observability, and cost efficiency. End-to-End ML Lifecycle Ownership Own the model lifecycle from feature engineering and experimentation to deployment, CI/CD, monitoring, and iteration. Collaborate Across Functions Work with cross-functional teams including product managers, engineers, and data scientists to translate business goals into AI-powered solutions. Core Requirements Minimum 4 years of experience in building and deploying production-level ML/DL systems Develop proofs of concept AI/ML-based solutions and services and demonstrate them to Business stakeholders Design and deliver ML architecture patterns operable in native and hybrid cloud architectures. Create Functional and technical specifications for AI/ML solutions. Implement machine learning algorithms in services and pipelines that can be used on a web scale. Design, develop, and implement Generative AI models using state-of-the-art techniques. Collaborate with cross-functional teams to define project goals, research requirements, and develop innovative solutions. Strong understanding of transformer architectures and deep learning model design Hands-on experience in building at least one production-grade Deep learning solution or Generative AI solution Expertise in Python programming with a focus on: Code optimization and profiling Multi-threading and multiprocessing Object-oriented programming and design principles Experience deploying models in a cloud-native environment with strong MLOps practices Understanding of model evaluation, observability, A/B testing, and feedback loops Excellent problem-solving and analytical skills. Strong communication and presentation skills. Technical Stack Languages: Excellent understanding of object-oriented concepts and Python. ML/DL Frameworks: Machine Learning: Scikit-learn, XGBoost, LightGBM Deep Learning: PyTorch, TensorFlow, Keras GenAI: Hugging Face Transformers, LangChain, OpenAI APIs, Gemini, Agentic Framework Cloud MLOps: AWS SageMaker, GCP Vertex AI, Azure ML, MLflow, Kubeflow, Docker, Kubernetes Data Compute: Apache Spark, BigQuery, RabbitMQ, S3, EC2 Embedding Stores Vector Search: FAISS, Pinecone, ChromaDB Orchestration APIs: Apache Airflow, Docker Deployment, and FastAPI are a must Preferred Qualifications Experience with multi-modal models combining text, vision, or audio Familiarity with Retrieval-Augmented Generation (RAG), embedding stores, and agent-based orchestration (LangGraph, ReAct) Open-source contributions in AI/ML or GenAI ecosystems Certifications in cloud-based machine learning platforms (AWS/GCP/Azure) Education B.Tech / M.Tech / Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field Equivalent practical experience in developing scalable AI solutions will also be considered What Company Offers: Excellent career growth opportunities and exposure to multiple technologies. Fixed weekday day schedule, meaning, you ll have your weekends off! Family Medical Insurance. Unique leave benefits and encashment options based on performance. Long term growth opportunities. Fun family environment surrounded by experienced developers. Various internal employee rewards programs based on Performance. Opportunities for various other Bonus programs for training hours taken, certifications, special value to business through idea and innovation. Work life Balance flexible work timings, early out Fridays, various social and cultural activities etc. Company Sponsored International Tours.

We are looking for a highly skilled AI/ML/Gen AI Data Scientist with expertise in Generative AI, Machine Learning, Deep Learning, and Natural Language Processing (NLP) . The ideal candidate should have a strong foundation in Python-based AI frameworks and experience in developing, deploying, and optimizing AI models for real-world applications. Key Responsibilities Develop and implement AI/ML models . Work with Deep Learning architectures like Transformers (BERT, GPT, LLaMA) and CNNs/RNNs. Fine-tune and optimize Large Language Models (LLMs) for various applications. Design and train custom Machine Learning models using structured and unstructured data. Leverage NLP techniques such as text summarization, Named Entity Recognition (NER). Implement ML pipelines and deploy models in cloud environments (AWS/GCP/Azure). Collaborate with cross-functional teams to integrate AI-driven solutions into business applications. Stay updated with latest AI advancements and apply innovative techniques to improve model performance. Required Skills & Qualifications 1 to 3 years of experience in AI/ML, Deep Learning, and Generative AI . Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, Hugging Face, Scikit-learn . Hands-on experience with NLP models , including BERT, GPT, T5, LLaMA, and Stable Diffusion . Expertise in data preprocessing, feature engineering, and model evaluation . Experience with MLOps, cloud-based AI deployment, and containerization (Docker, Kubernetes) . Knowledge of vector databases and retrieval-augmented generation (RAG) techniques. Ability to fine-tune LLMs and work with prompt engineering . Strong problem-solving skills and ability to work in agile environments . Educational Requirements Bachelor's, Master's, or PhD in Computer Science/Artificial Intelligence/Information Technology Preferred Skills (Good To Have) Experience with Reinforcement Learning (RLHF) and multi-modal AI . Familiarity with AutoML, Responsible AI (RAI), and AI Ethics . Exposure to Graph Neural Networks (GNNs) and time-series forecasting. Contributions to open-source AI projects or research papers. Skills:- Machine Learning (ML), Generative AI, Artificial Intelligence (AI), Python and Large Language Models (LLM)

Job Responsibilities: Technical Leadership: Provide technical leadership and mentorship to a team of data engineers. Design, architect, and implement highly scalable, resilient, and performant data pipelines, using GCP technologies is a plus (e.g., Dataproc, Cloud Composer, Pub/Sub, BigQuery). Guide the team in adopting best practices for data engineering, including CI/CD, infrastructure-as-code, and automated testing. Conduct code reviews, design reviews, and provide constructive feedback to team members. Stay up-to-date with the latest technologies and trends in data engineering, Data Pipeline Development: Develop and maintain robust and efficient data pipelines to ingest, process, and transform large volumes of structured and unstructured data from various sources. Implement data quality checks and monitoring systems to ensure data accuracy and integrity. Collaborate with cross functional teams, and business stakeholders to understand data requirements and deliver data solutions that meet their needs. Platform Building & Maintenance: Design and implement secure and scalable data storage solutions Manage and optimize cloud infrastructure costs related to data engineering workloads. Contribute to the development and maintenance of data engineering tooling and infrastructure to improve team productivity and efficiency. Collaboration & Communication: Effectively communicate technical designs and concepts to both technical and non-technical audiences. Collaborate effectively with other engineering teams, product managers, and business stakeholders. Contribute to knowledge sharing within the team and across the organization. Required Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. 7+ years of experience in data engineering and Software Development. 7+ years of experience of coding in SQL and Python/Java. 3+ years of hands-on experience building and managing data pipelines in cloud environment like GCP. Strong programming skills in Python or Java, with experience in developing data-intensive applications. Expertise in SQL and data modeling techniques for both transactional and analytical workloads. Experience with CI/CD pipelines and automated testing frameworks. Excellent communication, interpersonal, and problem-solving skills. Experience leading or mentoring a team of engineers

Key Responsibilities Develop and drive comprehensive testing strategies across multiple projects. Design and maintain scalable test automation frameworks (UI/API). Lead end-to-end testing efforts including test planning, execution, defect tracking, and reporting. Ensure test coverage of business-critical features across web, desktop, and/or mobile platforms. Collaborate with cross-functional teams (developers, BAs, product owners) to clarify requirements and ensure testability. Perform exploratory, regression, smoke, sanity, performance, and security testing as required. Identify quality risks and implement mitigation strategies. Mentor and train junior QA engineers and set QA best practices. Contribute to continuous integration and continuous testing initiatives. Drive process improvement initiatives within the QA team. Required Skills And Experience 10+ years of experience in software testing with a solid understanding of QA methodologies. Strong experience in automation tools like Selenium, Cypress, Playwright, Appium, or similar. Solid knowledge of REST API testing tools such as Postman, Swagger, or SoapUI. Experience working in Agile/Scrum or DevOps environments. Familiarity with CI/CD tools such as Jenkins, GitLab CI, or Azure DevOps. Strong understanding of programming/scripting languages like Java, Python, or JavaScript. Experience using test case and defect management tools (e.g., JIRA, TestRail, Zephyr). Exceptional analytical, troubleshooting, and debugging skills. Strong documentation and communication skills. Preferred Qualifications ISTQB Advanced Level or equivalent QA certification. Experience testing SaaS, enterprise platforms, or mobile applications. Knowledge of cloud platforms (AWS, Azure, GCP) and cloud testing tools. Performance testing experience with JMeter, LoadRunner, or similar. Experience working in regulated environments (e.g., finance, healthcare) is a plus. Skills:- SQL server, JMeter, API, Postman, JIRA Agile, Agile/Scrum, defect report, Payment gateways and Test Automation (QA)

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? This role will be part of the Treasury Applications Platform team. We are currently modernizing our platform, migrating it to GCP. You will contribute towards making the platform more resilient and secure for future regulatory requirements and ensuring compliance and adherence to Federal Regulations. Preferably a BS or MS degree in computer science, computer engineering, or other technical discipline 10+ years of software development experience Ability to effectively interpret technical and business objectives and challenges and articulate solutions Willingness to learn new technologies and exploit them to their optimal potential Strong experience Finance, Controllership, Treasury Applications Strong background with Java, Python, Pyspark, SQL, Concurrency/parallelism, oracle, big data, in-memory computing platforms Cloud experience with GCP would be a preference Conduct IT requirements gathering. Define problems and provide solution alternatives. Solution Architecture and system design. Create detailed system design documentation. Implement deployment plans. Understand business requirements with the objective of providing high-quality IT solutions. Support team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation, design and deployment. Under supervision participate in unit-level and organizational initiatives with the objective of providing high-quality and value adding consulting solutions. Troubleshoot issues, diagnose problems, and conduct root-cause analysis. Perform secondary research as instructed by supervisor to assist in strategy and business planning. Minimum Qualifications: Strong experience with Cloud architecture Deep understanding of SDLC, OOAD, CI/CD, Containerization, Agile, Java, PL/SQL Preferred Qualifications: GCP Big data processing systems Finance Treasury Cash Management Kotlin experience Kafka Open Telemetry Network We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.