Job Description: As a Machine Learning Engineer at Agnisys, you will play a crucial role in designing, developing, and deploying machine learning models, particularly in the field of Natural Language Processing (NLP). The ideal candidate should have a strong foundation in mathematical concepts of ML algorithms and hands-on experience with transformer architectures. Responsibilities: 1. **Mathematical Proficiency:** - Demonstrate a solid understanding of mathematical concepts underlying machine learning algorithms. - Apply mathematical principles to design and optimize machine learning models. - Good understanding of Supervised Learning algorithms like Logistic Regression, Linear Regression, SVM, Decision Trees, Ensemble Techniques (Bagging, Boosting), etc. - Experience with Unsupervised Learning algorithms, such as clustering (k-means, hierarchical clustering).2. **NLP Expertise:** - Possess practical experience in working with NLP technologies. - Showcase a deep understanding of transformer architecture and its applications in NLP tasks.3. **Advanced Concepts:** - Familiarity with advanced concepts such as prompt engineering, retrieval augmented generation, and reinforcement learning is highly desirable. - Proactively stay updated on the latest advancements in ML, including Deep Neural Networks (MLP, CNN, LSTM, GRUs), and incorporate relevant techniques into projects.4. **Deployment Experience:** - Have a proven track record of deploying machine learning models into production environments. - Ensure scalability, reliability, and maintainability of deployed ML systems. Qualifications: - Bachelor's, Master's, or Ph.D. in Computer Science, Machine Learning, or a related field. - Solid understanding of machine learning algorithms, statistical modeling, and supervised/unsupervised learning techniques. - Hands-on experience with NLP technologies, with a focus on transformer architectures. - Familiarity with prompt engineering, retrieval augmented generation, and reinforcement learning is a plus. - Proven experience in deploying machine learning models in production. - Strong programming skills in languages such as Python, TensorFlow, and PyTorch. - Excellent problem-solving and communication skills. Job Type: Full-time Pay: ₹360,020.77 - ₹1,595,226.79 per year Benefits: Health insurance Work from home Schedule: Day shift Supplemental Pay: Yearly bonus Work Location: In person
Job Description: As a Machine Learning Engineer at Agnisys, you will play a crucial role in designing, developing, and deploying machine learning models, particularly in the field of Natural Language Processing (NLP). The ideal candidate should have a strong foundation in mathematical concepts of ML algorithms and hands-on experience with transformer architectures. Responsibilities: 1. **Mathematical Proficiency:** - Demonstrate a solid understanding of mathematical concepts underlying machine learning algorithms. - Apply mathematical principles to design and optimize machine learning models. - Good understanding of Supervised Learning algorithms like Logistic Regression, Linear Regression, SVM, Decision Trees, Ensemble Techniques (Bagging, Boosting), etc. - Experience with Unsupervised Learning algorithms, such as clustering (k-means, hierarchical clustering).2. **NLP Expertise:** - Possess practical experience in working with NLP technologies. - Showcase a deep understanding of transformer architecture and its applications in NLP tasks.3. **Advanced Concepts:** - Familiarity with advanced concepts such as prompt engineering, retrieval augmented generation, and reinforcement learning is highly desirable. - Proactively stay updated on the latest advancements in ML, including Deep Neural Networks (MLP, CNN, LSTM, GRUs), and incorporate relevant techniques into projects.4. **Deployment Experience:** - Have a proven track record of deploying machine learning models into production environments. - Ensure scalability, reliability, and maintainability of deployed ML systems. Qualifications: - Bachelor's, Master's, or Ph.D. in Computer Science, Machine Learning, or a related field. - Solid understanding of machine learning algorithms, statistical modeling, and supervised/unsupervised learning techniques. - Hands-on experience with NLP technologies, with a focus on transformer architectures. - Familiarity with prompt engineering, retrieval augmented generation, and reinforcement learning is a plus. - Proven experience in deploying machine learning models in production. - Strong programming skills in languages such as Python, TensorFlow, and PyTorch. - Excellent problem-solving and communication skills. Job Type: Full-time Pay: ₹360,020.77 - ₹1,595,226.79 per year Benefits: Health insurance Work from home Work Location: In person
We are looking for a skilled Senior Software Engineer with strong experience in compiler toolchains, debuggers, and embedded systems. In this role, you will design, develop, and support toolchains and debugging solutions for next-generation embedded platforms. You will work closely with hardware and software teams to ensure smooth development, debugging, and performance analysis across multiple architectures such as RISC-V and ARM. Educational Qualification: Bachelor’s or Master’s degree in Computer Science, Electronics, Electrical Engineering, or related field. Required skills: Strong expertise in: ARM, RISC-V and x86 architectures GCC GNU & LLVM Toolchain GDB & OpenOCD Debugger ISA Models (RISC-V, ARM, or equivalent) Custom BSP (Board Support Package) development for standard OSes (Linux, RTOS, etc.) Zephyr, RTOS, FreeOS Proficiency in C/C++ and scripting languages (Python, Bash, etc.). Solid understanding of computer architecture, instruction sets, and low-level programming. Strong problem-solving and debugging skills, with attention to detail. Experience: 5–8 years of hands-on experience in embedded systems, compiler toolchains, or related fields. Key Responsibilities: Build, maintain, and optimize toolchains using GCC GNU and LLVM. Configure and use GDB and OpenOCD for debugging embedded platforms. Develop and integrate Instruction Set Architecture (ISA) models (RISC-V, ARM, etc.) for simulation and verification. Work on Board Support Packages (BSPs) for operating systems (Linux, RTOS, etc.) to enable platform bring-up. Debug and solve low-level system and toolchain issues.Collaborate with hardware, firmware, and OS teams to ensure efficient tool support.Keep up with new technologies in compilers, debuggers, and ISA modeling. Job Location: Noida (Uttar Pradesh) Job Type: Full time Benefits: Medical Insurance and PF Job Type: Full-time Pay: ₹800,000.00 - ₹2,000,000.00 per year Ability to commute/relocate: Noida Sector 62, Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Experience: Compiler Toolchain: 5 years (Preferred) Work Location: In person