3 A2A Jobs

Role & responsibilities Machine Learning, Data Science, Model Customization [4+ Years] Exp with performing above on cloud services e.g AWS SageMaker and other tools AI/ Gen AI skills: [1 or 2 years] MCP, RAG pipelines, A2A, Agentic / AI Agents Framework Auto Gen, Lang graph, Lang chain, codeless workflow builders etc. Preferred candidate profile Build working POC and prototypes rapidly. Build / integrate AI driven solutions to solve the identified opportunities, challenges. Lead cross functional teams in identifying and prioritizing key business areas in which AI solutions can result benefits. Proposals to executives and business leaders on broad range of technology, strategy and standard, governance for AI. Work on functional design, process design (flow mapping), prototyping, testing, defining support model in collaboration with Engineering and business leaders. Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation. Relevant IT Experience: - 10+ years of relevant IT experience in given technology

We have Multiple opening for SAP BTP CPI - Any Wipro Location -- 6+ - UK Shift if interested please share resume at archana@radiansys.com BTP Integration: Consultant: B2/B3 A minimum of 5+ years developing enterprise class integrations between on-premises and cloud applications (on-prem to on-prem, on-prem to cloud, and cloud-to-cloud). 5+ years of experience building integrations using iPaaS solution. Experience with platforms such as SAP PO/PI, SAP BTP Integration Suite Deep knowledge of design patterns implemented in SAP IS/CPI, Groovy scripts, API development, Mappings. Having experience on A2A , B2B , B2G and ETL integration Good knowledge of API based integration and micro services design patterns & best practices. Experience with SOAP, REST, Odata is a must. Experience with configuration and tuning or for SAP Cloud Integration set-up. Demonstrated experience implementing SAP Cloud Integration/CPI-DS architecture, rules, caching, etc. Excellent interpersonal and the ability to interact with all level of stakeholders, support personnel, and clients. Good documentation, analytical and problem-solving skills. Good understanding (or hands on experience) of installation, configuration and administration of SAP Cloud Integration/CPI-DS set up Interface architecture knowledge with one or more on-premise / SaaS packaged solutions for ERP, CRM, e-Commerce, or mobile (e.g. Salesforce.com, NetSuite, Oracle, SAP, WorkDay, etc.). Good knowledge in ERP systems to enable ALE/EDI Deep knowledge in SFDC Integration based on BPM technology. Capable to independently coordinate the set-up of new interfaces. This includes realignment with various teams and functions- Security, Networking, SAP Basis, project teams, external and internal customers. Experience delivering in scrum, agile, and other methodologies. Thanks & Regards, Archana Sharma I US IT Recruiter I Radiansys INC Email: Archana@radiansys.com

What You'll Do We are looking for experienced Machine Learning Engineers with a background in software development and a deep enthusiasm for solving complex problems. You will lead a dynamic team dedicated to designing and implementing a large language model framework to power diverse applications across Avalara. Your responsibilities will span the entire development lifecycle, including conceptualization, prototyping and delivery of the LLM platform features. You will build core agent infrastructureA2A orchestration and MCP-driven tool discoveryso teams can launch secure, scalable agent workflows. You will be reporting to Senior Manager, Machine Learning What Your Responsibilities Will Be We are looking for engineers who can think quick and have a background in implementation. Your responsibilities will include: Build on top of the foundational framework for supporting Large Language Model Applications at Avalara Experience with LLMs - like GPT, Claude, LLama and other Bedrock models Leverage best practices in software development, including Continuous Integration/Continuous Deployment (CI/CD) along with appropriate functional and unit testing in place. Promote innovation by researching and applying the latest technologies and methodologies in machine learning and software development. Write, review, and maintain high-quality code that meets industry standards, contributing to the project's. Lead code review sessions, ensuring good code quality and documentation. Mentor junior engineers, encouraging a culture of collaboration Proficiency in developing and debugging software with a preference for Python, though familiarity with additional programming languages is valued and encouraged. What You'll Need to be Successful 6+ years of experience building Machine Learning models and deploying them in production environments as part of creating solutions to complex customer problems. Proficiency working in cloud computing environments (AWS, Azure, GCP), Machine Learning frameworks, and software development best practices. Experience working with technological innovations in AI & ML(esp. GenAI) and apply them. Experience with design patterns and data structures. Good analytical, design and debugging skills. Technologies you will work with: Python, LLMs, Agents, A2A, MCP, MLFlow, Docker, Kubernetes, Terraform, AWS, GitLab, Postgres, Prometheus, and Grafana