5 Raft Jobs

You will be working at ClearTrail, where the focus is on developing solutions to empower organizations dedicated to ensuring the safety of their people, places, and communities. With over 23 years of experience, ClearTrail has been a trusted partner for law enforcement and federal agencies worldwide in safeguarding nations and enriching lives. As part of the team, you will contribute to the future of intelligence gathering by creating artificial intelligence and machine learning-based lawful interception and communication analytics solutions to address some of the world's most challenging problems. Your role will involve developing and training machine learning models that leverage drone, satellite, and real-time video data for complex visual understanding tasks. You should have a minimum of 10-12 years of relevant experience for this position. Key responsibilities of the role include: - Building machine learning and deep learning models for image and video classification, segmentation, and spatiotemporal analysis. - Developing fusion methods to align and combine data from satellite, drone, and ground footage. - Applying advanced techniques such as multi-scale learning, temporal modeling (e.g., 3D CNNs, transformers), and sensor fusion. - Conducting model evaluation and optimization across various data sources. Essential skills for this role include: - Strong proficiency in Python coding and data manipulation using libraries such as NumPy, Pandas, and SciPy. - Expertise in vision/model libraries like MMDetection, Detectron2, and OpenCV. - Deep learning experience with PyTorch, TensorFlow, and video models such as TimeSformer, SlowFast, I3D, and Yolo. - Knowledge of satellite/drone geospatial fusion, GPS/IMU metadata, and scene alignment. - Familiarity with time series analysis, motion tracking, and optical flow using tools like RAFT and FlowNet. - Understanding of remote sensing libraries such as Rasterio, GDAL, GeoPandas, and xarray. If you are passionate about leveraging machine learning and artificial intelligence to address complex challenges in intelligence gathering, this role at ClearTrail offers an exciting opportunity to make a meaningful impact.,

You will be responsible for developing and training machine learning models that leverage drone, satellite, and real-time video data to tackle complex visual understanding tasks. Your primary focus will be on building ML/DL models for image and video classification, segmentation, and spatiotemporal analysis. Additionally, you will be tasked with developing fusion methods that align and merge data from satellite, drone, and ground footage sources. To excel in this role, you must have a minimum of 10-12 years of relevant experience. You should possess strong Python coding skills along with expertise in data manipulation using libraries such as NumPy, Pandas, and SciPy. Proficiency in vision/model libraries such as MMDetection, Detectron2, and OpenCV is essential. Moreover, you must have hands-on experience in deep learning frameworks like PyTorch and TensorFlow, particularly in developing video models with TimeSformer, SlowFast, I3D, Yolo, among others. Your expertise should extend to satellite/drone geospatial fusion, GPS/IMU metadata, and scene alignment. Familiarity with time series analysis, motion tracking, and optical flow techniques (e.g., RAFT, FlowNet) is beneficial. In addition, knowledge of remote sensing libraries like Rasterio, GDAL, GeoPandas, and xarray will be advantageous for this role. Your responsibilities will also include model evaluation and optimization across various data sources, ensuring the delivery of high-quality solutions that contribute to the future of intelligence gathering.,

You as an Application Support Specialist will provide 2 nd level support for a Business-Critical Application RAFT for the DHL DGFF division. This requires technical abilities to ensure that customer inquiries and issues are resolved within the Service Level Agreement targets. As a member of the support team, you will work on Incident and Problem management and participate on projects with other teams towards business. You will actively work on improvement plans, developing automation, and monitoring scripts. Responsibilities and Duties Application (2 nd level) Support - Ensuring that requests for support are properly logged, assigned and responded to in a timely manner and according to agreed standards and procedures. Ensures users and other interested parties are kept informed of progress and that corrective action is taken to avoid delays in accordance with SLAs Spotting potential problems early and taking pro-active action to stop them occurring and/or having a major disruptive impact Cooperating with 3 rd level support (external vendor), e.g. for the development of system enhancements to overcome known problems or further fulfill user requirements Being responsible for resolution of assigned tickets, finding workarounds and following root causes to resolve issues permanently. Providing advice and guidance to less experienced colleagues Supporting delivery of build projects through its lifecycle (focus on user and technical acceptance testing (UAT/TAT), RTP and post implementation support) Qualifications and Skills Accounting & financial knowledge Experience with application support MS-Azure cloud knowledge MS Windows Administration knowledge PostgreSQL & MongoDB with SQL knowledge Advanced English (written and spoken) Advantage will be additional experience with: RPA or any Automation skill Scripting Experience with corporate environment Role-specific Requirements Customer focused personality Fast learning attitude Ability to prioritize and multi-task to achieve goals and deadlines Strong analytical thinking Team player Advanced communication skills Proactive mindset

About the Job : The Digital workforce team is part of Red Hats Data and AI organization. The team is focused on building and delivering strategic AI agents designed to augment human capabilities, accelerate workflows, and scale operations across the enterprise. In this role, you will work as a member of a highly dynamic, and fast-paced team. As part of the development team, youll need to be creative, motivated, and proficient in architecting and designing cutting-edge applications that leverage Generative AI. You will work closely with different teams, stakeholders, product owners, and program managers to design, document, and develop solutions. We are seeking talented engineers to spearhead the technology and design of key components within Red Hat's Digital Workforce, shaping the future of digital agents. The ideal candidate will possess strong technical abilities, a commitment to quality and open source, a drive for innovation, excellent communication and teamwork skills, and will excel in a dynamic, startup-like setting. What will you do? Architect, design, document, and develop applications in Python and frameworks like LangChain, LangGraph, LLamaStack. Architect and lead the implementation of Agentic AI applications. Architect and lead the implementation of scalable open-source solutions with distributed computing capabilities using Machine Learning models, running on OpenShift AI Architect and design new features with RAG, RAFT, GraphRAG, InstructLab, and their pipelines Develop and optimize retrieval-augmented generation (RAG) pipelines Collaborate with product owners, program managers, different teams, and engineering managers to analyze and clarify business requirements to implement data models and business logic Mentor, influence, and coach a distributed team of engineers Effectively communicate to stakeholders and project team members to ensure proper visibility of development efforts Review code merge requests from other team members for new features Build and deploy applications to Red Hat OpenShift Platform-as-a-Service (PaaS), public clouds, i.e., Google Cloud Platform, AWS, etc. Ensure non-functional requirements, including performance, scalability, resiliency, maintainability, security, etc., are met according to defined standards Resolve bugs, performance problems, and other issues with production applications What will you bring? Strong experience in a software engineering role Bachelor's degree in Computer Science, Computer Engineering or related field 10+ years of professional coding, at least a year using Python Excellent communication skills, solid written and verbal communication skills in English; ability to communicate effectively in a global team Problem-solving and troubleshooting skills including performing root cause analysis Understanding of web application infrastructure and fundamentals like REST and HTTP Understanding of public cloud concepts and development practices Knowledge of Distributed Systems Experience with LangGraph, LangChain, Autogen and/or Python/ Java-based AI libraries for GenAI applications Experience with continuous delivery (CD) like to build and deploy pipelines like Jenkins, Platform-as-a-Service (PaaS) like OpenShift/Kubernetes Presentations skills and public speaking skills for conferences and demos Enjoys solving challenging problems and working with emerging technologies The following are considered a plus: Experience with AI Agentic frameworks Experience with MCP servers Experience working with LLMs Experience in building Chatbots with Slack Personal qualities and communication: Communicate and influence for impact by bringing data to life via clear narratives and/or storytelling Communication skills and experience in interacting with cross functional business and engineering teams Capability in undertaking business needs analysis in direct consultation. Be a self-starter, displaying initiative in seeing needs, building functionality and leading insights for organizational change. Capability to develop a detailed understanding of our business requirements. Excellent communication, presentation, and writing skills.

remote typeOnsitelocationsPune - Tower 6posted onPosted 30+ Days Ago job requisition idR-040244 About the Job: The Red Hat IT Innovation Team is looking for a Senior Principal Software Engineer to join us in Pune, India. In this role, you will work as a member of a newly established, highly dynamic, and fast-paced team. As part of the product development team, youll need to be creative, motivated, and proficient in architecting and designing cutting-edge applications that leverage Generative AI. You will work closely with different teams, stakeholders, product owners, and program managers to design, document, and develop solutions. We are looking for a focused skill set, experience in advanced development expertise with Java and Python, and solid fundamentals in computer science are preferred. Prior experience in designing and implementing Generative AI-based applications is a plus. What will you do Architect, design, document, and develop applications in Java, Python, and frameworks like Spring Boot, Quarkus, LangChain or other frameworks Architect and lead implementation of scalable open-source solutions with distributed computing capabilities using Machine Learning models, running on OpenShift AI Architect and design new features with RAG, RAFT, GraphRAG, InstructLab, and their pipelines Develop and optimize retrieval-augmented generation (RAG) pipelines using LangChain or other frameworks, and vector databases. Build and fine-tune LLMs and AI-driven applications with Python-based frameworks Collaborate with product owners, program managers, different teams, and engineering managers to analyze and clarify business requirements to implement data models and business logic Mentor, influence, and coach a distributed team of engineers Effectively communicate to stakeholders and project team members to ensure proper visibility of development efforts Review code merge requests from other team members for new features Work with quality engineers to ensure application quality and maintainability Build and deploy applications to Red Hat OpenShift Platform-as-a-Service (PaaS), public clouds, i.e., Google Cloud Platform, AWS, etc. Ensure non-functional requirements, including performance, scalability, resiliency, maintainability, security, etc., are met according to defined standards Resolve bugs, performance problems, and other issues with production applications What will you bring 12+ years of professional Java and Python development experience Experience in building native microservices with Java and Python Solid object-oriented software development skills Understanding of web application infrastructure and fundamentals like REST and HTTP Understanding of public cloud concepts and development practices Experience with LangChain and/or Python/Java-based AI libraries for GenAI applications Experience with continuous delivery (CD) like build and deploy pipelines like Jenkins, Platform-as-a-Service (PaaS) like OpenShift/Kubernetes Software development life cycle skills; ability to use standard tools for development on Linux like Maven, Docker, and issue tracking systems like Jira Knowledge of SQL, NoSQL, and vector databases Knowledge of RAG, RAFT, GraphRAG for Generative AI use-cases. Knowledge of InstructLab Distributed source control experience like Git, including continuous integration (CI) workflows Excellent communication skills, solid written and verbal communication skills in English; ability to communicate effectively in a global team Ability to work unsupervised in a fast-paced environment, enthusiastic to learn on your own The following are considered a plus: Passionate about applied innovation and creativity Motivated to help others solve problems Experience in building Chatbots with Slack, Google Chat, etc. Experience in fine-tuning and deploying LLMs on OpenShift AI Experience in Google Cloud Platform products like Cloud Build, Cloud Run, etc. Experience in creating architectural diagrams with different tools #LI-AK1 About Red Hat is the worlds leading provider of enterprise software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.