Machine Learning/Deep Learning Senior Data Scientist Job Summary: We are seeking an experienced Machine Learning/Deep Learning Senior Data Scientist to join our team and drive the development of cutting-edge AI solutions. As a Senior Data Scientist, you will be responsible for designing, developing, and deploying scalable and efficient machine learning and deep learning models to solve complex business problems. You will work closely with cross-functional teams to ensure the successful delivery of AI-powered projects. Key Responsibilities: 1. Design and Develop Machine Learning/Deep Learning Models: Design, develop, and deploy machine learning and deep learning models using various techniques such as supervised, unsupervised, and reinforcement learning. 2. Data Analysis and Interpretation: Analyze and interpret complex data to identify patterns, trends, and insights that inform business decisions. 3. Collaborate with Cross-Functional Teams: Work closely with data engineers, DevOps engineers, and QA engineers to ensure seamless integration of machine learning and deep learning models into larger systems. 4. Architecture and Design: Design and architect scalable and efficient machine learning and deep learning systems, ensuring scalability, efficiency, and maintainability. 5. Mentorship and Guidance: Mentor and guide junior data scientists, providing technical guidance and best practices for machine learning and deep learning development. 6. Staying Up-to-Date with Industry Trends: Keep up-to-date with the latest developments in machine learning, deep learning, and related technologies, applying this knowledge to drive innovation and improvement. 7. Evaluate and Implement Emerging Technologies: Evaluate and implement emerging technologies such as transformer-based models, graph neural networks, and other advanced techniques to stay ahead of the competition. Na NA

Machine Learning/Deep Learning Senior Data Scientist Job Summary: We are seeking an experienced Machine Learning/Deep Learning Senior Data Scientist to join our team and drive the development of cutting-edge AI solutions. As a Senior Data Scientist, you will be responsible for designing, developing, and deploying scalable and efficient machine learning and deep learning models to solve complex business problems. You will work closely with cross-functional teams to ensure the successful delivery of AI-powered projects. Key Responsibilities: 1. Design and Develop Machine Learning/Deep Learning Models: Design, develop, and deploy machine learning and deep learning models using various techniques such as supervised, unsupervised, and reinforcement learning. 2. Data Analysis and Interpretation: Analyze and interpret complex data to identify patterns, trends, and insights that inform business decisions. 3. Collaborate with Cross-Functional Teams: Work closely with data engineers, DevOps engineers, and QA engineers to ensure seamless integration of machine learning and deep learning models into larger systems. 4. Architecture and Design: Design and architect scalable and efficient machine learning and deep learning systems, ensuring scalability, efficiency, and maintainability. 5. Mentorship and Guidance: Mentor and guide junior data scientists, providing technical guidance and best practices for machine learning and deep learning development. 6. Staying Up-to-Date with Industry Trends: Keep up-to-date with the latest developments in machine learning, deep learning, and related technologies, applying this knowledge to drive innovation and improvement. 7. Evaluate and Implement Emerging Technologies: Evaluate and implement emerging technologies such as transformer-based models, graph neural networks, and other advanced techniques to stay ahead of the competition. Na NA

Role: BSP Engineer Working area: IVI /ADAS BSP Experience: ~6+ years Technical and domain skills: • Strong embedded development experience with good knowledge and hands-on experience in Design/Development/Debugging aspects of Board support package (BSP) on one or more of operating systems like in QNX / Linux / Android and Hypervisor embedded systems. • Must have hands-on development experience in C, C++, • Hands on experience on drivers in QNX / Linux / Android. • Hands on development experience in multi-threaded and multi-core environment. • Hands on experience with board bring up, schematics understanding • Good Communication and debugging skills • Skillset : C, C++. Linux, QNX / RTOS , UART, SPI, I2C, PCIE, Ethernet, Memory/Storage drivers, Hypervisor, Camera / Display / Audio • Experience in using debugging tools such as JTAG, Trace32, CRO , Logic Analyzers High level Roles and responsibilities: • Driver customization and Board bring up • Collaborate with cross-functional teams, engineering for smooth execution • Demonstrate strong analytical and problem-solving abilities and work closely with external customers to customize and launch their new products. Qualification and experience: • Bachelor’s or Master’s degree preferred. • Must have excellent communication skills, both written and verbal, and debugging skills • The ability to collaborate and integrate with existing team Role: The Main responsibility is to provide direct support to OEM customers with the design, development and debug of reference designs SW related issues and helping to customize/optimize software to meet the product requirements. The Candidate must quickly ramp-up onto an existing project, understand Automotive platform Software driver architecture, read/write technical specifications/requirements,. Clusters NA

Key Responsibilities: Develop and maintain large-scale system tooling using Python and C++. Utilize Docker for containerization and deployment of applications. Work within a Linux environment to ensure robust and scalable solutions. Debug and troubleshoot C/C++ code to maintain system integrity and performance. Collaborate with cross-functional teams to understand system requirements and networking protocols (Ethernet, IPC, TCP/UDP). Must-Have Skills: Good proficiency in Python.(70%) Basic-Intermediate proficiency in C++. knowledge of CI/CD pipeline, AWS or GCP, and Docker for full automation. Good to Have: Experience with DevOps tools such as GitLab CI and Jenkins. Understanding of Network protocols (vEthernet, vCAN, TCP/UDP) Strong Linux skills.(experience with shell scripting) Proven experience with large-scale system tooling. Devops,Python,C++ We are seeking a highly skilled and experienced Senior Engineer to join our team in developing ADASISv2/v3 Map Processing Software for Advanced Driver Assistance Systems (ADAS). The ideal candidate will have a strong background in C++ and Python, algorithm development experience, and working knowledge of ISO26262 functional safety software development.

Responsibilities: Develop and test software components in C and C++. Work with AUTOSAR architecture and configurations. Participate in code reviews and contribute to improving code quality. Collaborate with senior engineers to resolve technical challenges. Qualifications: Bachelor's degree in Computer Science, Electrical Engineering, or related field. Proficiency in C and C++ programming. Experience with AUTOSAR concepts and configuration. Strong problem-solving and analytical skills. Good communication and teamwork skills. C#,Automation C# Automation

C++, Customer Application Engineering Strong Modern C++ (C++ 14/17 and beyond) programming development and debugging skills - Good code reading skills to understand and identify problems - Experience in multithreaded concurrent programming in Linux or QNX - Familiarity in scripting languages like Python, Bash Revised 02/12/2025 - Understanding of build systems such as CMake and Bazel C++14,C++17,ADAS NA

Gen AI developer having experience with Production level deployment Job responsibilities: Responsibility for design and implementation of LLM’s at scale Participate as a team member in fully agile Scrum deliveries. Full stack AI / ML Design, build & maintain efficient and reliable Gen AI code leveraging pipelines Hosting and deployment knowledge in GCP along with advanced engineering concepts to build user friendly UI interface for easy adoption. Requirements: 4-5 overall years of experience. Having significant exposure in LLM Development, Design, Architecture, scaling and hosting experience Must Have – Experience with Python, LLM models – LLM’s, small sized LLM’s and Code based LLM models, Pipelines- Langchain / Ollama, embeddings, Memory Management, etc Exposure To tokenization and frameworks like RAG etc.. Previous experience in cloud hosting either AWS/ Azure or GCP. Implement a feedback mechanism to continually improve the model over time through feedback GEN AI,agile scrum,Python,LLM models,RAG,AI/ML AWS/ Azure or GCP

You will be stepping into the role of a Tech Lead as an experienced Python Developer, taking charge of a team of skilled engineers for the development of cutting-edge AI solutions. Your responsibilities will involve a mix of technical expertise, leadership qualities, and hands-on development skills. Guiding the team through complex projects using Agile methodologies, you shall ensure all solutions are scalable, maintainable, and of top-notch quality. Your mentorship, effective communication, and passion for innovation will be crucial in driving the team towards achieving its full potential and delivering exceptional results. Your essential skills will include proficiency in Python with strong programming capabilities, experience in asynchronous programming using asyncio and RabbitMQ, expertise in building asynchronous APIs with FastAPI, proficiency in PostgreSQL or MongoDB for database management, familiarity with Docker/Kubernetes for container technologies, and a solid understanding of Git for version control. Moreover, your preferred skills may encompass knowledge of AI Frameworks such as PyTorch or TensorFlow, Vector Databases, RAG, experience in data manipulation using Pandas for data processes and Jinja for templating, understanding of AI/ML and Data analytics technologies like Pandas Team Management. Your role will involve leading a team of engineers, providing mentorship and guidance, overseeing design and architecture decisions, conducting code and design reviews, and balancing leadership responsibilities with hands-on development. Soft skills like efficient problem-solving, strong verbal and written communication abilities, and a passion for continuous learning of new technologies and frameworks will be essential for your success in this position.,