Job description Position: Application Engineer, Embedded Software Job Description: Key Responsibilities: Provide advanced engineering design service and support to regional engineering team on embedded hardware including processors, FPGA and software design support. Collaborate with customers to develop, test, and debug firmware, assist with code creation, driver development on MCUs based on ARM Cortex, RISC-V, and proprietary cores. Assist customers to configure and customize embedded Linux systems, including kernel configuration, device drivers, middleware integration, and real-time patches. Design technical demonstrations, including Proof of Concepts (PoC), showcasing microcontroller/microprocessor, FPGA capabilities in real-world applications. Create high-quality documentation, including technical guides, application notes, and training materials, for internal and external use. Share technical expertise by delivering training sessions and workshops for internal engineers and customers. Attend technical and sales training in efforts to stay abreast of current technology. Develop product performance specifications and product development roadmaps Ensure accurate documentation of engineering designs and solutions for future reference. Qualifications & Requirements: Bachelor s Degree or higher in Electronics/Electrical Engineering, Computer Science, or a related engineering field. Minimum 7 years of experience in electronics, semiconductors, embedded processors, and FPGA design. Proven experience in firmware development across multiple microcontroller platforms based on ARM Cortex, RISC-V, and proprietary cores. Advanced proficiency in C/C++ for embedded systems; familiarity with Python. Experience with kernel debugging, device tree customization, and interfacing hardware peripherals through custom drivers. Proficiency in VHDL and Verilog; knowledge of System Verilog or High-Level Synthesis (HLS) is a plus. Hands-on experience deploying machine learning models on MPUs using tools like TensorFlow Lite, OpenCV, or ONNX Runtime. Excellent problem-solving skills and a proactive approach to technical challenges. Strong communication and teamwork skills to work effectively with customers and internal teams. Passion for innovation and commitment to delivering high-quality engineering solutions. Location: IN-KA-Bangalore, India Time Type: Full time Job Category: Engineering and Technology Role: Post Silicon Test Engineer Industry Type: Electronic Components / Semiconductors Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer scienceC++VHDLSoftware designMachine learningEmbedded LinuxSystem verilogEngineering DesignEmbedded softwarePython

Job description Get to Know Our Team The Grab Integrity team is dedicated to protecting the Grab platform from multiple types of fraud and safety incidents. Our team uses rich datasets ranging from payment risk prediction using sequence-based models to detecting money laundering with graph algorithms and ensuring platform safety. We research new methods to stay ahead of latest fraud tactics, contributing to the creation of thoughtful and secure products. Get to Know the Role: Youll fight fraud by analysing transactional data, developing and deploying machine learning models, and collaborating with teams to ensure seamless integration of fraud detection systems. Youll help keep our platform safe and trustworthy. Reporting to the Data Science Manager II, this will be a Full-time role in Bangalore The Critical Tasks You Will Perform: Collaborate with your team to understand and convert operational issues into data science problems, aligning efforts with our strategic goals. Stay updated with the latest research and advancements in the field, incorporating the latest models and techniques to address new fraud tactics. Handle data preparation and augmentation, using multiple data types to create comprehensive datasets for model training. Train and improve machine learning models, ensuring accuracy and efficiency in fraud detection through careful selection and tuning of algorithms. Types of algorithms the team work on include Graph Neural Networks, Transformer/ Sequence models, finetuned LLMs, Boosted Trees Deploy models into production, managing their performance, and working with data scientists, software engineers, and product managers to ensure seamless integration and ongoing improvements. Read more Skills you need The Essential Skills You Will Need: Degree in computer science, physics, statistics, or a related quantitative field. Proficiency in Python, SQL, and programming skills, with familiarity with numeric libraries, containers, and modular software design 2 or more years of experience of standard machine learning libraries such as TensorFlow, PyTorch, XGBoost, LightGBM, and Scikit-learn Understand and some experience using traditional ML techniques like Boosted Trees, and deep neural network architectures, like CNNs, RNNs, Transformers Role: Data Scientist Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer scienceSoftware designdata scienceNeural networksMachine learningMedical insuranceOperationsFraud detectionSQLPython

Job description Position: Application Engineer, Embedded Software Job Description: Key Responsibilities: Provide advanced engineering design service and support to regional engineering team on embedded hardware including processors, FPGA and software design support. Collaborate with customers to develop, test, and debug firmware, assist with code creation, driver development on MCUs based on ARM Cortex, RISC-V, and proprietary cores. Assist customers to configure and customize embedded Linux systems, including kernel configuration, device drivers, middleware integration, and real-time patches. Design technical demonstrations, including Proof of Concepts (PoC), showcasing microcontroller/microprocessor, FPGA capabilities in real-world applications. Create high-quality documentation, including technical guides, application notes, and training materials, for internal and external use. Share technical expertise by delivering training sessions and workshops for internal engineers and customers. Attend technical and sales training in efforts to stay abreast of current technology. Develop product performance specifications and product development roadmaps Ensure accurate documentation of engineering designs and solutions for future reference. Qualifications & Requirements: Bachelor s Degree or higher in Electronics/Electrical Engineering, Computer Science, or a related engineering field. Minimum 7 years of experience in electronics, semiconductors, embedded processors, and FPGA design. Proven experience in firmware development across multiple microcontroller platforms based on ARM Cortex, RISC-V, and proprietary cores. Advanced proficiency in C/C++ for embedded systems; familiarity with Python. Experience with kernel debugging, device tree customization, and interfacing hardware peripherals through custom drivers. Proficiency in VHDL and Verilog; knowledge of System Verilog or High-Level Synthesis (HLS) is a plus. Hands-on experience deploying machine learning models on MPUs using tools like TensorFlow Lite, OpenCV, or ONNX Runtime. Excellent problem-solving skills and a proactive approach to technical challenges. Strong communication and teamwork skills to work effectively with customers and internal teams. Passion for innovation and commitment to delivering high-quality engineering solutions. Location: IN-KA-Bangalore, India Time Type: Full time Job Category: Engineering and Technology Role: Post Silicon Test Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer scienceC++VHDLSoftware designMachine learningEmbedded LinuxSystem verilogEngineering DesignEmbedded softwarePython

Job description Get to know the team GrabFin is an aggregate of FinTech businesses spread across 6 countries in S.E. Asia, in the Lending, Payments and Insurance domains. We are excited to provide innovative financial services to all participants of the Grab Ecosystem be it our Drivers, Consumers or Merchants. Our products are built on fundamental market insights combined with data science and engineering to bring the best product market fit across the cross section of our user base. This understanding of our ecosystem combined with world class engineering execution continues to create tremendous value for our customers. The data scientist will work in a relatively flat team structure with an independent goal of building and manage critical data science models daily. You can expect to solve hard technical problems and grow into an expert on both batch and real-time Data Science use cases. You will have experience with technology and data science. You will be reporting to Senior Manager, Data Science. This role is onsite based in Bangalore. Youll develop credit risk scoring models for consumer loans, including PD, LGD, and collection models. Youll work with alternative data sources to boost model signal and accuracy. Your role will involve full ownership of the end-to-end model lifecycle from building and validation to deployment and maintenance. Youll collaborate with business, risk, and operations teams to shape solutions and influence product strategy with your insights. This is an individual contributor role suited for professionals with 8+ years of experience. The Critical Tasks You Will Perform Build predictive models using a mix of machine learning and traditional analytics methods to segregate between Good vs Bad borrowers Build Machine learning & Deep learning models to estimate losses from of a given portfolio. Validate models on new datasets, based on in-market performance. Engineer predictive features from internal data assets to build refined customer profiles. Identify external data assets to bring into the model mix. Drive model governance by collaborating with risk policy, compliance, and audit teams to ensure adherence to regulatory expectations. Identify model gaps or performance drifts and lead model refresh cycles. Present findings to senior leadership with clear articulation of risk trade-offs and growth. Translate model insights into strategic recommendations (e.g., policy changes, pricing levers, customer targeting strategies). Solve previously unsolved analytics problems using best in class data analytics and machine learning methodologies. Read more Skills you need The Essential Skills You Need 8+ years of experience. Strong understanding of credit business - lifecycle of a loan, collections process, and credit KPIs like NPL, ECL. Expert in building machine learning and predictive models in Python and Spark is an absolute must. SQL, Presto, Hive proficiency. Sound knowledge of machine learning concepts. Illustrative machine learning concepts/methods are: Bagging, Boosting, Regularisation, Online Learning, Recommendation Engines Experience with LLMs, and Generative AI Experience with model deployment pipelines - using MLFlow, Airflow, or other MLOps tools. Demonstrated experience building machine learning models Understand the trade-offs between model performance and our needs. Strong problem-solving mindset is critical for success in this role. Read more What we offer About Grab and Our Workplace Grab is Southeast Asias leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, weve got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. Read more Life at Grab Life at Grab We care about your well-being at Grab, here are some of the global benefits we offer: We have your back with Term Life Insurance and compr

Job description Wissen Technology is Hiring fo r Senior Data Engineer About Wissen Technology: Wissen Technology is a globally recognized organization known for building solid technology teams, working with major financial institutions, and delivering high-quality solutions in IT services. With a strong presence in the financial industry, we provide cutting-edge solutions to address complex business challenges. Role Overview: We are looking for a highly experienced Senior Data Engineer with a strong background in data engineering and a passion for building scalable, efficient, and modern data solutions. The ideal candidate will be a hands-on practitioner with a deep understanding of big data technologies, cloud platforms, and data architecture. Experience: 6 - 10 Years Location: Bengaluru Required Skills: 6 years+ of being a practitioner in data engineering or a related field. Proficiency in programming skills in Python Experience with data processing frameworks like Apache Spark or Hadoop. Experience working on Snowflake and Databricks. Familiarity with cloud platforms (AWS, Azure) and their data services. Experience with data warehousing concepts and technologies. Experience with message queues and streaming platforms (e.g., Kafka). Excellent communication and collaboration skills. Ability to work independently and as part of a geographically distributed team. Role: Data Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills TelecomManager Quality AssuranceConsultingManager TechnologyHealthcareHTMLApplication developmentBusiness intelligenceData architecturePython

Job description About Us: Neuron7.ai is a rapidly growing AI-first SaaS company focused on creating a category-defining service intelligence product. Backed by top venture capitalists in Silicon Valley and a distinguished group of angel advisors/investors, we are recognized as a startup to watch. Our swift traction in the market underscores our mission: to empower enterprises to make accurate service decisions at scale. Our AI-driven platform delivers service predictions in seconds by analyzing structured and unstructured data alongside insights from leading experts. In complex service environments such as high-tech devices, manufacturing, and medical devices Neuron7.ai helps service leaders excel in critical metrics like first-call resolution, turnaround time, and service margins. Learn more at Neuron7.ai Why Join Us: At Neuron7.ai , you ll be part of a dynamic, high-impact team that is redefining the future of service intelligence. We value creativity, collaboration, and innovation, and we offer an environment where bold ideas and continuous learning are encouraged. About the Team: You will join a passionate and fast-moving AI/ML team committed to building cutting-edge autonomous AI agents and intelligent systems. The team thrives on solving real-world challenges and pioneering new approaches to decision intelligence and automation. Role Overview: We are looking for an experienced Lead Automation Test Engineering who is passionate about building autonomous Agentic AI systems capable of reasoning, planning, and executing tasks with minimal human intervention. You will play a critical role in developing and optimizing these agents by combining advanced technologies such as LLMs, reinforcement learning, and symbolic AI, and embedding them into enterprise-grade platforms. What You ll Do: Design and build AI agents that autonomously plan and perform complex tasks using LLMs, reinforcement learning, and symbolic Machine Learning & NLP: Develop and fine-tune NLP models for natural language understanding, contextual decision-making, and conversational Technical Skills: Strong proficiency in Python and ML frameworks like TensorFlow or PyTorch Experience with Large Language Models (e.g., GPT, Claude, LLaMA) including prompt engineering and fine-tuning Hands-on knowledge of reinforcement learning, planning algorithms, and autonomous agent frameworks Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices Strong understanding of AI pipelines, API development, and system integration Qualifications: Education: Bachelors or Master s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field from a Tier-1 institution Experience: 8-12 years of experience in AI/ML development, including hands-on work with LLMs systems Demonstrated ability to take research concepts into production-grade systems Preferred Qualifications: Experience in decision intelligence, strategic planning AI, or autonomous agent frameworks Knowledge of graph-based reasoning, AI, or hybrid AI modelsE xposure to data pipeline frameworks such as Flink, PySpark, or similarFamiliarity with containerization tools (Docker, Kubernetes) and messaging systems (Kafka, RabbitMQ) What We Do and Value: At Neuron7.ai , we value integrity, innovation, and a customer-first mindset. Our mission is to revolutionize service decision-making using intelligent automation and cutting-edge AI technologies. Perks & Benefits: Competitive salary, equity, and performance bonuses Paid sick leave Latest MacBook Pro and best-in-class tools Comprehensive health insurance coverage Paid parental leave Flexible hybrid work culture (Bengaluru office) Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We are proud to be an equal opportunity employer and make hiring decisions based on merit, qualifications, and business needs without discrimination or harassment of any kind. If youre passionate about Automation Engineering and want to help build the future of autonomous enterprise system

Job description Join our Team About this opportunity Ericsson is a world-leading provider of telecommunications equipment & services to mobile & fixed network operators. Over 1,000 networks in more than 180 countries use Ericsson equipment, & more than 40 percent of the worlds mobile traffic passes through Ericsson networks. At Ericsson, we apply our innovation to market-based solutions that empower people & society to help shape a more sustainable world. We welcome the opportunity to meet you! What you will do This is a Technical Lead position at Ericsson R&D Bangalore where you get to work with a team of highly motivated engineers in delivering Ericssons Multimedia Telephony Application Server (MTAS) features for VoLTE, VoWifi and other IMS enabled solutions. You will bring: You will drive strategic technical leadership Perform continuous analysis and requirement handling. You are continuously experimenting and learning more. Perform trouble shooting and customer support Develop competence in technical domain To be successful in the role, you must have 5 - 12 years of overall IMS design experience with a minimum of 2 years on a virtualized telecom carrier grade product MUST HAVE strong knowledge of IMS nodes, SIP, MEGACO and Diameter protocols Good knowledge of IMS architecture, 3GPP, GSMA\VoLTE specifications Strong experience in breakdown of customer requirements into user-story based team backlog Comfortable with OOPS / Design Patterns / STL on Linux Excellent programming skills in C++ on Linux based platforms Knowledge in cloud native and microservices architectures, familiarity with Kubernetes PaaS or serverless services Konwledge on Docker containers, Kubernetes, and Helm and knowledge of modern DevOps practices, workflows, and tools Creative problem-solving skills and excellent troubleshooting / debugging skills Solid understanding of Python / PERL or any scripting language Should technically lead an Agile cross functional team Sufficient multi-functional skills to understand and develop / modify automated test cases Solid work ethic, customer focus, team player with passion for delivering world class solutions. B. Tech Degree in CS/EC/EE or related studies. M. Tech Degree is a plus Role: Technical Lead Industry Type: Software Product Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills TelecomC++LinuxDebuggingAgilePerlCustomer supportSIPIMSPython

Job description So, what s the role all about We are looking for a highly driven and technically skilled Software Engineer to lead the integration of various Content Management Systems with AWS Knowledge Hub, enabling advanced Retrieval-Augmented Generation (RAG) search across heterogeneous customer data without requiring data duplication. This role will also be responsible for expanding the scope of Knowledge Hub to support non-traditional knowledge items and enhance customer self-service capabilities. You will work at the intersection of AI, search infrastructure, and developer experience to make enterprise knowledge instantly accessible, actionable, and AI-ready. How will you make an impact Integrate CMS with AWS Knowledge Hub to allow seamless RAG-based search across diverse data types eliminating the need to copy data into Knowledge Hub instances. Extend Knowledge Hub capabilities to ingest and index non-knowledge assets, including structured data, documents, tickets, logs, and other enterprise sources. Build secure, scalable connectors to read directly from customer-maintained indices and data repositories. Enable self-service capabilities for customers to manage content sources using App Flow, Tray. ai, configure ingestion rules, and set up search parameters independently. Collaborate with the NLP/AI team to optimize relevance and performance for RAG search pipelines. Work closely with product and UX teams to design intuitive, powerful experiences around self-service data onboarding and search configuration. Implement data governance, access control, and observability features to ensure enterprise readiness. Have you got what it takes Proven experience with search infrastructure, RAG pipelines, and LLM-based applications. 2+ Years hands-on experience with AWS Knowledge Hub, AppFlow, Tray. ai, or equivalent cloud-based indexing/search platforms. Strong backend development skills (Python, Typescript/NodeJS, . NET/Java) and familiarity with building and consuming REST APIs. Infrastructure as a code (IAAS) service like AWS Cloud formation, CDK knowledge Deep understanding of data ingestion pipelines, index management, and search query optimization. Experience working with unstructured and semi-structured data in real-world enterprise settings. Ability to design for scale, security, and multi-tenant environment. What s in it for you Enjoy NICE-FLEX! Reporting into: Tech Manager, Engineering, CX Role Type: Individual Contributor About NICE Role: Full Stack Developer Industry Type: Software Product Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Content managementBackendquery optimizationCloudFlexCMSdata governanceInfrastructureAWSPython

Job description Job Description Value Proposition Be responsible for exploring relevant data sources, generating a business understanding of the data, and developing the logic to transform the data into insights that can be demonstrated for this endeavor, connecting the dots to different aspects of building connections/graphs of the venture ecosystem. Build, design, and develop a robust data model to accomplish the goals of this connections program as well as assist in building out analytical tools/solutions. Document the data transformation logic and understanding for other analysts to follow. Job Details Position Title: Lead Data Scientist Career Type: P3 Job Category: Manager Role Type: Hybrid Job Location: Bangalore About the Team: We have a team of 9 FTE's in Bangalore and bigger team in US. We are experts in SAS/SQL/Tableau developments. We collaborate with Sales Ops team to assist our Sales Advisors to reach out to our clients and prospects with all relevant details. We focus on Banks Client growth and Retention. Impact: Enhancing existing data architecture, adding new information for new reporting, seamless execution of batch process etc and using standard methodologies' framework to ensure data quality and reconciliation checks are in place and are transparent to our users. Key Deliverables Ability to develop and improve complex SAS scripts, macros, and procedures. Proven Documentation (technical and user documentation) and Verbal and written Communication skills Experience with systems integration, building system models by combining model components and testing the integrity of modeling systems, proficient with model and systems implementation testing. Knowledge of Data Governance and DQ framework is a plus. Background in data management in the Banking/Finance industry is preferred. Demonstrated ability to self-manage and multitask in a dynamic, ever-changing environment. Working knowledge of Tableau is a plus. Demonstrating communication skills to collaborate optimally with analysts across First Citizens India. Skills and Qualification Functional Skills: Analytics, Modeling, & Reporting Corporate Strong analytical and problem-solving skills Experience with ETL and data modeling tools is a plus. Effective time management and organizational skills Bachelor/masters in computer science, Finance, Accounting, Economics, Statistics, or operational research Flexibility to work/manage a variety of projects. Technical Skills: 8+ years of experience in analytics and/or business intelligence space Solid understanding of writing and understanding of complex SAS codes Extensive knowledge and experience in SAS macros, SAS procedures, SQL, Basic UNIX and functions. Demonstrated experience with the data mining tools SAS/Anaconda. Experience in SAS Viya would be preferred. Experience in transforming business specifications and requirements into well-detailed and scripted SAS processes. Relationships & Collaborations: Reports to: Senior Manager Partnering with: Other lead data Scientist & US Counter parts Accessibility Needs We are committed to providing an inclusive and accessible hiring process. If you require accommodations at any stage (e.g. application, interviews, onboarding) please let us know, and we will work with you to ensure a seamless experience. Role: Other Industry Type: Banking Department: Other Employment Type: Full Time, Permanent Role Category: Other Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Sas ViyaSASAdvance Sas UnixpythonMonday.comJIRA

Job description About Marvell . Your Team, Your Impact This position is with ASIC design physical implementation (PD) team part of Central Engineering business unit at Marvell, Bangalore. This team as part of global Implementation team plays a key role in Netlist to GDS implementation, covering Synthesis, P&R, Timing, PV and Power implementation all custom ASICs for all the OEM s. We are looking for individuals with the domain of physical design having Block /Subsystem level implementation experience on hierarchical designs using industry standard tools. What You Can Expect Work with a global team on the physical design of complex chips at Block/Partition/Full-Chip level. You will also play a critical role in refining the methodology to enable an efficient and robust design process working closely with the methodology team. Your tasks will include performing synthesis, place and route, as well as timing analysis and closure on a given hierarchical design at block/partition/full-chip level. You will play a crucial role in developing and implementing timing and logic ECOs, collaborating closely with the RTL design team to drive modifications that address congestion and timing issues. Collaboration with the frontend team will be crucial to ensure successful tapeouts. Additionally, your involvement with the global timing team will include debugging and resolving any block/partition level timing issues encountered at the Chip level. This position provides an exciting platform to engage with diverse engineering challenges within a collaborative and innovative environment at Marvell. What Were Looking For Have completed a Bachelor s OR a Masters Degree in Electronics/Electrical/VLSI field and have atleast 10+ years of related professional experience in physical design at Partition/Subsystem/Chip level with a proven track record of successful tape-outs. In your coursework, you must have completed a course in digital electronics, CMOS design and projects that involved circuit design & analysis. Good understanding of standard RTL to GDS flows and methodology, experience in designing ICs at advanced technology nodes (e. g. , 7nm, 5nm, or below) is highly desirable. Working knowledge on any of the scripting in languages such as Perl, tcl, AWK and Python. Knowledge of Verilog/VHDL basics is an added advantage. Good communication skills and self-discipline contributing in a team environment. In-depth knowledge and hands-on experience with industry-standard physical design tools and methodologies, including synthesis, floor planning, placement, clock tree synthesis, routing, and physical verification. Additional Compensation and Benefit Elements With competitive compensation and great benefits, you will enjoy our workstyle within an environment of shared collaboration, transparency, and inclusivity. We re dedicated to giving our people the tools and resources they need to succeed in doing work that matters, and to grow and develop with us. For additional information on what it s like to work at Marvell, visit our Careers page. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. #LI-KP1 Role: ASIC / RTL / Logic Design Engineer Industry Type: Electronic Components / Semiconductors Department: Engineering - Hardware & Networks Employment Type: Full Time, Permanent Role Category: Hardware Education UG: Any Graduate PG: Any Postgraduate Key Skills VHDLSemiconductorVLSICircuit designingVerilogDebuggingPerlAutomotivePhysical designPython