Join our Team About us Ericsson is launching a new R&D center in Yokohama dedicated to radio and software development. This hub will collaborate with leading Japanese CSPs and local vendors to deliver innovative products for global networks. We are hiring engineers at all experience levels to join our team and help develop advanced 5G/6G radio systems. The center aims to strengthen Ericsson's ties with Japan's technology ecosystem and accelerate the delivery of high-performance radio solutions worldwide. The opportunity You will join a self-organizing agile team developing and maintaining the software and system architecture for an embedded Radio Unit (SW + HW) in an advanced environment with end-to-end responsibility. This is an opportunity to design embedded Radio SW that will be part of Ericsson's radios deployed in Japan and globally. What you will do - Develop software for next-generation wireless communication systems (5G/6G), including embedded and AI-related features.- Work in an agile, cross-functional team and participate in the full product lifecycle: requirements analysis, coding, integration, testing, release and customer delivery.- Design and implement system architecture, contribute to software system design principles, and develop/optimize complex algorithms.- Perform software development primarily in C++ within a complex system architecture involving both software and hardware components.- Create and maintain automated tests (preferably using Java) to ensure quality and efficiency.- Collaborate with global R&D teams, troubleshoot complex system issues, and contribute beyond your primary area of expertise. Who we're looking for - Bachelor's degree or above in Computer Science, Electronics, Communications, Automation, or related fields (Master's preferred; outstanding undergraduates welcome).- Knowledge and experience in embedded or application software development using objective-oriented C++ and Java.- Basic experience with Python and Shell scripting is expected, familiarity with SQL scripting is a plus.- Basic exposure to AI/ML concepts (e.g., CNNs, DNNs, RNNs, or Reinforcement Learning) and tools such as TensorFlow or PyTorch is a plus.- Exposure to AI coding assistants like Amazon Q (or comparable tools) is a plus.- Knowledge of Linux/Unix development environments, GCC, GDB, Makefile, and inter-process/thread communication.- Experience with GIT, Eclipse and VSCode.- Self-driven, proactive learning and innovative mindset.- Excellent English communication (written and spoken) and teamwork.-Japanse Language Skills mandatory (Business Level) What we offer - Be part of a newly established R&D center that will expand our global radio R&D network.- Opportunities to collaborate with Japan's ecosystem - operators, research labs and universities - to create impactful, large-scale systems.- Work on cutting-edge software for radios that will be deployed globally in 5G/6G networks.- Opportunities for career growth, including technical leadership and cross-disciplinary roles. Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: Japan (JP) || Req ID: 777075

Title: Senior Data Engineer II Location: Bengaluru - BLR1 Job Description: Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term. About the role As a Senior Data Engineer II (P50), you are an experienced data engineer who consistently delivers high‑impact outcomes across both short and long time horizons, leading domains that span multiple services and business areas. You combine deep data engineering expertise with strong business acumen to guide the roadmap and architecture for your area, elevate the team’s overall capabilities, and act as a senior escalation point for technical and operational issues. You spearhead the end‑to‑end data solutions—from ingestion and modeling through quality, observability, and consumption—while mentoring P20/P30 engineers and driving process and automation improvements across the team. This hybrid position requires 3 days per week in our Bangalore office and 2 days working remotely. This position requires working hours in IST. Relocation assistance will not be provided for this role. What you’ll do - Lead end‑to‑end data solutions across multiple subject areas and services, from requirements and design through implementation, rollout, and ongoing ownership. - Architect, build, and maintain large‑scale, production‑grade data pipelines (batch and/or streaming) using modern data lake and warehouse technologies (e.g., Databricks, Delta, cloud data platforms) and industry‑standard ETL/ELT patterns. - Design robust data models and curated “golden” datasets that power analytics, dashboards, and data science use cases, including facts, dimensions, snapshots, and SCDs. - Own data quality, reliability, and SLAs for your domains: define contracts, implement validation and monitoring, and drive root‑cause analysis and long‑term fixes for data incidents. - Influence team and cross‑functional roadmaps and OKRs by translating business goals into multi‑quarter technical plans, tradeoffs, and investment proposals. - Partner closely with cross‑functional teams (e.g., Finance, Sales Ops, RevOps, Product, Data Science & Analytics) to understand requirements and deliver scalable data solutions that unlock insights and automation. - Lead incident response and complex technical investigations for your areas, coordinating across teams, driving clear communication, and ensuring durable remediation. - Mentor and uplevel other engineers, providing code and design reviews, pairing, and structured feedback to grow the team’s technical mastery and operational excellence. - Improve processes, documentation, and tooling for data development, testing, deployment, and observability; standardize best practices across BizTech Data & Integrations. - Champion Samsara’s cultural principles—Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, and Win as a Team—in how you design systems and collaborate across the company. Minimum qualifications - 10+ years of relevant experience in data engineering or closely related roles, with demonstrated impact and career progression. - Bachelor’s or Master’s degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or related discipline. - Expert-level data engineering skills, including ETL/ELT, data modeling, and working with large-scale, cloud-based data lake/warehouse stacks and modern tooling (e.g., Spark, SQL engines, orchestration frameworks). - Strong programming skills in SQL and at least one general-purpose language (e.g., Python), with experience building and maintaining production-grade pipelines and reusable frameworks. - Proven experience designing and operating critical data models and curated datasets for analytics, reporting, and/or ML use cases, including performance tuning and cost optimization. - Demonstrated experience in AI/ML systems, including building, deploying, or supporting machine learning pipelines, feature engineering workflows, and integrating predictive or generative models into production data systems. - Hands-on experience with AI application and agent development, including designing and deploying intelligent agents, workflow automation, or LLM-powered applications (e.g., retrieval-augmented generation, tool-using agents, conversational systems), with a focus on scalability, observability, and reliability. - Demonstrated ability to lead multi-stakeholder projects over 2+ quarters, managing tradeoffs between technical quality, speed, and business impact. - Solid knowledge of Databricks features and administration, including Unity Catalog, cluster management, security, troubleshooting, root-cause analysis, and performance optimization. - Strong communication and collaboration skills, including clear written design docs and effective communication with senior stakeholders and cross-functional partners. - Track record of mentoring and acting as an escalation point for more junior engineers or analysts. Experience with the following: - 5+ years in Python, SQL. - Exposure to ETL tools such as Fivetran, DBT or equivalent. - API: Experience with Python-based API frameworks for building and serving data/AI pipelines. - RDBMS: MySQL, AWS RDS/Aurora MySQL, PostgreSQL, Oracle, MS SQL Server, or equivalent. - Cloud: AWS, Azure, and/or GCP. - Data warehouse: Databricks, Google BigQuery, AWS Redshift, Snowflake or equivalent. - Experience integrating AI/ML platforms and tooling (e.g., MLflow, feature stores, vector databases, model serving infrastructure) into data ecosystems. - Familiarity with LLM ecosystems, including prompt engineering, embeddings, vector search, and evaluation frameworks for AI applications. - Hands-on experience with modern AI developer tools and assistants, such as Claude, Cursor, GitHub Copilot, and ChatGPT, for accelerating development, code generation, debugging, and workflow automation. - Experience in SaaS, B2B, or data-heavy product environments, especially where IoT, telemetry, or event-driven data plays a central role. - Hands-on experience with Databricks or similar Spark-based platforms, Delta/Parquet data lakes, and modern data orchestration tools. - Background working with finance, sales, or revenue operations data, and comfort modeling business processes such as bookings, billings, and pipeline. - Prior experience driving cross-team data initiatives (e.g., standardizing metrics, centralizing business logic, or implementing shared data governance frameworks) #LI-hybrid Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here. Flexible Working At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Accommodations Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.

CAPCO POLANDApplied AI Engineer – Build Real AI ProductsCapco at Data & AI Warsaw Tech Summit 2026Capco drives digital transformation across the financial industry. A global consulting firm focused on financial services, Capco partners with leading banks, fintechs, and financial institutions to design and deliver next-generation data platforms, AI solutions, and digital ecosystems. From data strategy and modern platforms to AI-powered decision systems and GenAI innovation, teams unlock measurable value from data. What defines Capco? A fast, flexible, and entrepreneurial environment. Quick decision-making, creative thinking, and real ownership enable people to push the boundaries of what technology can achieve. Capco stands for: • Trusted partnerships with banks, payments providers, and financial institutions • Delivery of modern data platforms and AI-powered systems • Innovation across cloud, data engineering, machine learning, and GenAI • A community of engineers, architects, and consultants solving complex challenges Meet Capco at the Data & AI Warsaw Tech Summit 🚀At this year’s Data & AI Warsaw Tech Summit, Capco will share how financial institutions can move from experimentation to production-grade AI and scalable data ecosystems. Our experts will explore how organizations can: • Build AI-native architectures on modern cloud platforms • Scale machine learning and generative AI solutions across enterprise environments • Transform fragmented data into high-value data products • Embed AI into real business workflows and decision-making systems Capco Speakers at Data & AI Warsaw Tech Summit 🚀Andrzej Worona & Laura Żusin-Kaczmarek Topic: From Data to Meaning: Educating AI in Banking with Ontologies: Lessons from FIBO and Conversational Banking Time: 11:50-12:10 CET Intro: Many AI solutions still fall short when it comes to understanding and reasoning about complex financial concepts. The real challenge is about how financial knowledge is represented and shared with machines. Why does AI still misunderstand basic banking terms despite having access to vast amounts of data? How can AI truly understand financial concepts? Using the Financial Industry Business Ontology (FIBO) as an example of structured domain knowledge, we will discuss how formal, machine-readable definitions can provide the contextual foundation AI needs. By analysing selected conversational banking scenarios and example solutions, we will invite participants to reflect together on what the right semantic layer for AI in banking should look like. Join us to discover why the next leap in AI for banking isn’t just about more data or better models, but about building a structured understanding of financial meaning. Looking for AI EngineersCapco is always looking for talented engineers who are passionate about turning cutting-edge AI into real-world impact. Our teams work at the intersection of data engineering, machine learning, and cloud architecture, building intelligent systems that help organizations unlock the power of data and AI. What you’ll do• Design and develop AI-powered applications and services • Build and deploy machine learning and generative AI solutions • Integrate AI models into production systems and business workflows • Work with large-scale data platforms and distributed datasets • Optimize and monitor AI models in production environments • Collaborate with cross-functional teams to translate business problems into AI-driven solutions Tech Stack - Languages Python (primary) - Machine Learning TensorFlow, PyTorch, Scikit-learn - Data Processing Apache Spark - Orchestration Apache Airflow - Cloud Platforms AWS • Google Cloud (GCP) • Microsoft Azure - AI Tooling LLM frameworks, AI APIs, and modern GenAI tooling About You• Experience building AI or machine learning solutions • Strong programming skills in Python • Experience with machine learning frameworks • Familiarity with data engineering concepts and large datasets • Experience deploying solutions in cloud environments (AWS, GCP, or Azure) • Passion for building production-ready AI systems If you're attending Data & AI Warsaw Tech Summit, come meet the Capco team, learn from our experts, and explore how we are shaping the future of data and AI in financial services. 😊 ONLINE RECRUITMENT PROCESS STEPS - Screening call with the Recruiter - Hiring Manager Technical Interview - Feedback - Offer We offer a flexible collaboration model based on a B2B contract with the opportunity to work on diverse projects.

Vālenz® Health is the platform to simplify healthcare – the destination for employers, payers, providers and members to reduce costs, improve quality, and elevate the healthcare experience. The Valenz mindset and culture of innovation combine to create a distinctly different approach to an inefficient, uninspired health system. With fully integrated solutions, Valenz engages early and often to execute across the entire patient journey – from care navigation and management to payment integrity, plan performance and provider verification. With a 99% client retention rate, we elevate expectations to a new level of efficiency, effectiveness and transparency where smarter, better, faster healthcare is possible. About This Opportunity: As a Data Engineer III, you’ll be responsible for designing, building, and evolving scalable data systems that power analytics, product, and operational decision-making across the organization. You will operate as a senior individual contributor with end-to-end ownership of complex data initiatives, contributing directly to the architecture and evolution of our Databricks-based Lakehouse platform on Azure. Things You’ll Do Here: - Own the design and implementation of scalable, production-grade data pipelines using Databricks, PySpark, SQL, and Python Operationalize machine learning workflows and feature pipelines. - Own and deliver complex, cross-functional data initiatives end-to-end, from ingestion and data modeling through production deployment and ongoing monitoring. - Design robust, reusable ETL frameworks using Delta Lake best practices (incremental processing, merge/upserts, schema evolution). - Diagnose and resolve performance challenges in distributed Spark workloads (data skew, shuffle, memory pressure, inefficient execution plans). - Build and enforce strong data quality practices, including validation frameworks, observability, and automated alerting. - Design and evolve data models across medallion architecture layers to support analytics and downstream applications. - Implement modern data ingestion patterns, including API-driven, event-based, and AI-assisted ingestion workflows. - Partner with analytics, architecture, and engineering teams to support advanced data use cases, including feature engineering and emerging machine learning workflows. - Evaluate and adopt new capabilities within Azure and Databricks (e.g., MLflow, Unity Catalog enhancements, platform optimizations) to improve scalability and developer productivity. - Contribute to architectural decisions and platform standards, balancing short-term delivery with long-term maintainability. - Write high-quality, well-tested, and maintainable code; lead by example through thoughtful code reviews. - Act as a go-to resource for diagnosing and resolving complex production issues across systems. - Mentor and elevate other engineers through collaboration, design discussions, and technical guidance. - Perform other duties as assigned. Reasonable accommodation may be made to enable individuals with disabilities to perform essential duties. What You’ll Bring to the Team: - 4+ years of experience in data engineering or a related field, with a track record of delivering production-grade data systems - Strong hands-on experience with Databricks, Spark/PySpark, and distributed data processing at scale - Deep understanding of Delta Lake and modern Lakehouse architecture patterns - Proficiency in Python and SQL for large-scale data transformation and performance optimization - Proven experience building incremental, idempotent, and highly reliable data pipelines - Strong experience diagnosing and optimizing Spark workloads (partitioning strategies, AQE, caching, file sizing, query tuning) - Experience designing data models for analytics and downstream consumption (medallion architecture, dimensional modeling, or similar) - Experience implementing data quality, validation, and observability frameworks in production environments - Familiarity with CI/CD, version control, and modern DataOps practices - Experience supporting or integrating with machine learning workflows (feature pipelines, model inputs/outputs, or ML lifecycle support) - Familiarity with AI/ML concepts as applied to data engineering (intelligent ingestion, anomaly detection, automation) - Demonstrated ability to evaluate and adopt new technologies within cloud ecosystems (Azure, Databricks) - Strong communication skills and ability to collaborate with both technical and non-technical stakeholders A plus if you have… - Familiarity with event-driven architectures (e.g., streaming, message queues, or event hubs) - Experience working with healthcare data (claims, eligibility, provider, or clinical datasets Where You’ll Work: This is a fully remote position, and we’ll provide all the necessary equipment! - Work Environment: You’ll need a quiet workspace that is free from distractions. - Technology: Reliable internet connection—if you can use streaming services, you’re good to go! - Security: Adherence to company security protocols, including the use of VPNs, secure passwords, and company-approved devices/software. - Location: You must be US based, in a location where you can work effectively and comply with company policies such as HIPAA. Why You'll Love Working Here Valenz is proud to be recognized by Inc. 5000 as one of America’s fastest-growing private companies. Our team is committed to delivering on our promise to engage early and often for smarter, better, faster healthcare. With this commitment, you’ll find an engaged culture – one that stands strong, vigorous, and healthy in all we do. Benefits - Generously subsidized company-sponsored Medical, Dental, and Vision insurance, with access to services through our own products, Healthcare Blue Book and KISx Card. - Spending account options: HSA, FSA, and DCFSA - 401K with company match and immediate vesting - Flexible working environment - Generous Paid Time Off to include vacation, sick leave, and paid holidays - Employee Assistance Program that includes professional counseling, referrals, and additional services - Paid maternity and paternity leave - Pet insurance - Employee discounts on phone plans, car rentals and computers - Community giveback opportunities, including paid time off for philanthropic endeavors At Valenz, we celebrate, support, and thrive on inclusion, for the benefit of our associates, our partners, and our products. Valenz is committed to the principle of equal employment opportunity for all associates and to providing associates with a work environment free of discrimination and harassment. All employment decisions at Valenz are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, national, social, or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. We will not tolerate discrimination or harassment based on any of these characteristics.