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
We are looking for a dynamic and result-oriented Marketing Manager to lead marketing initiatives for our EDA software solutions. The role involves creating and executing marketing strategies to promote our products, build brand awareness, and generate qualified leads. The ideal candidate should have a good understanding of technology-driven markets and the ability to position complex software solutions effectively. Educational Qualification: Bachelor’s degree in Marketing or Electronics & Electrical Engineering, or related field. Preference will be given to candidates with an engineering background in related fields. MBA in Marketing or equivalent specialization will be an added advantage. Required skills: Strong knowledge of marketing principles, digital campaigns, and brand positioning. Excellent communication, presentation, and writing skills. Ability to translate complex technical concepts into clear marketing messages. Hands-on experience with marketing automation tools, CRM, and analytics platforms. Strong leadership, organizational, and project management abilities. Exposure to Electronic Design Automation (EDA) tools or related technologies is highly desirable. Experience: 10 years Key Responsibilities: Develop and implement marketing strategies to promote EDA software solutions in global markets. Collaborate with sales and product teams to design go-to-market plans. Manage digital marketing campaigns, events, webinars, and product launches. Create marketing content such as case studies, white papers, presentations, and website material. Build and maintain brand presence through social media, PR, and industry events.Analyze market trends, competitor activities, and customer feedback to shape marketing plans. Track and report on marketing performance metrics, ensuring ROI on campaigns. Lead and mentor a small team to deliver high-quality marketing outcomes. Job Types: Full-time, Part-time, Contractual / Temporary Pay: ₹1,000,000.00 - ₹2,500,000.00 per year Work Location: In person