156 Linear Algebra Jobs - Page 2

Practical in applying geometric concepts, with strong Python & SQL skills. Creative problem-solver, innovator, able to build agent-driven solutions. Senior dev with TDD, AWS knowledge preferred over Ph.D.

We are looking for a Data Science Intern with a passion for Computer Vision to delve into and implement cutting-edge models. The perfect candidate should possess the ability to dissect intricate tasks, enhance models, and adjust swiftly to a dynamic environment. Effective communication skills are crucial for teaming up with mentors and colleagues. An emphasis on producing clean code and upholding detailed documentation is highly appreciated. Key Responsibilities: Build, fine-tune, and optimize computer vision models for tasks such as object detection, segmentation, and OCR utilizing TensorFlow/PyTorch. Develop data preprocessing pipelines with OpenCV and NumPy to enhance model performance. Investigate transfer learning methods to tailor pre-trained models for specific use cases. Collaborate with teams to incorporate AI models into applications using Streamlit or Flask. Engage in end-to-end projects, starting from prototyping to deploying solutions through Docker. Perform experiments to evaluate model performance and record findings. Contribute to version-controlled codebases using Git to ensure organized and effective development. Keep abreast of deep learning advancements like YOLO progressions and transformer-based architectures. Required Skill: Proficiency in Python with hands-on experience in OpenCV, NumPy, and deep learning frameworks like TensorFlow/PyTorch. Basic comprehension of linear algebra principles, including vectors and matrices, for image manipulations. Exposure to deep learning architectures, particularly CNNs, for image categorization. Familiarity with advanced Computer Vision techniques such as Transfer Learning, YOLO, OCR, or segmentation is advantageous. Experience in model deployment, lightweight web applications (Streamlit/Flask), or Docker is beneficial. Basic understanding of version control tools like Git is a plus. A portfolio showcasing computer vision projects or involvement in open-source initiatives/hackathons is a bonus. Job Type: Internship Duration: 3-6 months Pre-Placement Offer (Subject to performance),

The Market Risk and Portfolio Model Validation Specialist position in Mumbai, India, within the Risk division at Deutsche Bank involves managing a wide range of risks including credit, market, and non-financial risks. As part of the Model Risk Management (MoRM) team, you will be responsible for independent model validation and managing model risk globally in alignment with Deutsche Bank's risk appetite. The teams are spread across Mumbai, Frankfurt, Berlin, London, and New York. In this role, you will focus on developing and maintaining a central modelling and validation service for all risk model types and methodologies. You will review and analyze Market Risk and Portfolio models such as VaR, ES, EC, RNIV, RNIEC, among others. Furthermore, you will understand the mathematical models and implementation methods, verify models and numerical schemes, and communicate outcomes with key stakeholders including risk managers, validation leads, and model development teams. To qualify for this position, you should be educated to Masters/Ph.D. level or equivalent in a quantitative subject like Mathematics, Physics, Quantitative Finance, or Quantitative Economics. Experience in model validation or development is preferred. Strong mathematical abilities, programming skills, and knowledge of financial products, derivatives, and related financial risks are essential. Excellent communication skills, both written and verbal, are required, along with the ability to author structured and concise validation reports. Proficiency in English is a must. Deutsche Bank offers a range of benefits including a leave policy, parental leaves, childcare assistance, sponsorship for certifications, employee assistance program, hospitalization insurance, life insurance, health screenings, training and development opportunities, coaching from experts, and a culture of continuous learning. At Deutsche Bank, we promote a positive, fair, and inclusive work environment where all individuals are welcome. We encourage collaboration, responsibility, commercial thinking, and taking initiative to excel together every day. Visit our company website for more information: https://www.db.com/company/company.htm. Join us at Deutsche Bank Group to share and celebrate the successes of our people.,

As a Research Assistant at our organization, you will utilize your strong academic background in Mathematics, Applied Mathematics, or Mathematics and Computation to contribute to cutting-edge research projects in the field of AI and advanced technology. You will collaborate closely with our R&D team, engaging in mathematical research, algorithm development, and computational analysis. This role presents an exciting opportunity for individuals passionate about research and emerging technologies. Your responsibilities will include conducting research in Mathematics, Algorithms, and Computational Complexity, collaborating with researchers and engineers to develop mathematical models and algorithms, assisting in designing and optimizing computational systems, analyzing large datasets using statistical and numerical methods, developing machine learning algorithms, preparing research papers and technical reports, and staying updated with the latest advancements in AI, Data Science, and Computational Mathematics. Additionally, you will be expected to present research findings to internal teams and external stakeholders. To be successful in this role, you must possess a Master's degree in Mathematics, Applied Mathematics, or Mathematics and Computation. Additional certifications in AI, Machine Learning, Algorithms, or Data Structures would be advantageous. A strong academic record with a research-oriented mindset is essential. Key skills required for this position include expertise in Graph Theory, Combinatorics, Probability and Statistics, Linear Algebra, Calculus, Numerical and Functional Analysis, Computational Complexity Theory, Information Theory, and Fourier Analysis. Proficiency in Algorithms, Data Structures, Optimization, Machine Learning, and AI is also necessary. You should have a strong research aptitude, experience in research tools and methodologies, exceptional critical thinking and analytical skills, effective time management and project coordination abilities, and a commitment to ethical research practices. Excellent written and verbal communication skills are crucial for conveying complex mathematical and computational concepts effectively. In return, we offer you the opportunity to work on groundbreaking research projects in a collaborative and intellectually stimulating work environment. You will have access to career growth opportunities and mentorship within our thriving startup ecosystem, along with cutting-edge tools and technologies to support your research endeavors. This is a full-time, permanent position based in Trivandrum, Kerala, requiring a Master's degree as the minimum education qualification. Relocation or commuting to Trivandrum is necessary for this role.,

RocketFrog.ai is an AI Studio for Business, delivering cutting-edge AI solutions in Healthcare, Pharma, BFSI, Hi-Tech, and Consumer Services industries. Specializing in Agentic AI, Deep Learning models, and AI-driven Product Development to create real business impact, RocketFrog.ai invites you to take a Rocket Leap with Science. As an Agentic AI Engineer with 3 to 5 years of experience in designing, developing, and deploying AI-powered applications, your role will involve implementing Agentic AI frameworks such as LangGraph and CrewAI to build intelligent workflows. You will utilize multiple LLMs like ChatGPT, Gemini, and Claude, understanding their strengths and limitations while optimizing LLM interactions through advanced Prompt Engineering techniques. Additionally, you will leverage Retrieval-Augmented Generation (RAG) techniques for enhanced AI response generation and work with AI platforms like Hugging Face/GitHub to download and fine-tune pretrained models. Developing scalable system architectures using FastAPI, Uvicorn, Celery, and AI pipelines will be part of your responsibilities, along with applying best practices in ML engineering and staying updated with the latest AI advancements through continuous learning and global research scanning. The ideal candidate should possess excellent communication skills to articulate AI concepts clearly and have hands-on experience in Prompt Engineering, Agentic AI frameworks, Retrieval-Augmented Generation techniques, system architecture, AI/ML platforms, and ML Frameworks like Keras, TensorFlow, or PyTorch. A strong foundation in Data Structures, Probability & Statistics, and Linear Algebra is essential, along with the ability to explain AI/ML concepts to both technical and non-technical stakeholders. A Bachelors or Masters degree in Computer Science, IT, Data Science, or AI, combined with 3 to 5 years of work experience as an AI Engineer, is required for this role. Join RocketFrog.ai to be part of a growth journey, work in an AI-driven company making real business impact, collaborate with leading AI experts, and enjoy a dynamic, fast-paced environment with career growth opportunities. If you are passionate about AI & innovation, let's connect!,

As a member of the Multi Asset Solutions Group (MAS) at Goldman Sachs Asset & Wealth Management, you will be part of a team that provides tailored portfolio solutions to institutional clients by investing across various asset classes, regions, and risk profiles in both public and private markets. Your role as a front office quant team member within MAS Analytics Strats will involve developing tools and systems to facilitate the day-to-day management of $380 billion in client assets. Additionally, you will generate analytics and insights to support portfolio managers in constructing and managing portfolios, as well as enhancing client experience through our innovative Investment Dashboard digital portal. We are seeking a dynamic individual to take on a leadership role within our team, focusing on delivering cutting-edge portfolio management tools and analytics to support the growth of our rapidly expanding business. Joining our team means collaborating with a group of enthusiastic professionals who are passionate about coding, investing, and bringing ideas to life. We are looking for a quantitative developer who is inquisitive, self-driven, capable of independent problem-solving, yet also thrives in a collaborative environment, and most importantly, someone who consistently strives for excellence. Requirements for this role include holding an undergraduate or graduate degree in quantitative fields such as computer science, mathematics, or engineering. Familiarity with quantitative techniques like statistics, linear algebra, numerical analysis, and calculus is essential. A solid comprehension of financial markets and experience working with diverse asset classes and financial instruments is highly desirable. You should have a minimum of 5 years of experience in the finance sector, with experience in buyside business considered a significant advantage. Proficiency in building software in a production environment, along with a strong command of programming languages, data structures, and algorithms, is required. While prior experience with open-source tools and frameworks is not mandatory, a willingness to learn new technologies and a passion for leveraging technology to solve real-world problems are crucial. Leadership skills and managerial experience are highly valued for this role. At Goldman Sachs, we are dedicated to leveraging our resources and expertise to support the growth of our clients, shareholders, and the communities we serve. Established in 1869, we are a prominent global investment banking, securities, and investment management firm with a presence across the world. We are committed to fostering diversity and inclusion in our workplace and beyond, providing our employees with numerous opportunities for professional and personal growth. From training and development initiatives to firmwide networks, benefits, wellness programs, and mindfulness offerings, we strive to create an inclusive and supportive environment for all individuals within our firm. Goldman Sachs is committed to providing reasonable accommodations for candidates with special needs or disabilities during the recruitment process. To learn more about our commitment, please visit: https://www.goldmansachs.com/careers/footer/disability-statement.html Join us at Goldman Sachs and be part of a team that thrives on excellence, innovation, and collaboration.,

You will be responsible for researching, designing, developing, and deploying advanced predictive machine learning models in a hands-on manner. Additionally, you will be developing and implementing systematic trading strategies based on the model predictions. Your role will involve reading financial literature and academic papers to identify market inefficiencies and gain inspiration. You will need to form hypotheses about market patterns and dependencies and rigorously test them. It is essential to think creatively, innovate, and solve complex problems in this role. You will also be expected to learn about financial markets and instruments to predict their future performance, contributing to the development of best practices within the firm. To excel in this position, you should have an eagerness to learn about financial markets and ways to predict the performance of businesses and their stock prices. A minimum of 5 years of experience in analyzing large amounts of data using Python or R is required. Extensive experience in training and implementing models with Scikit-learn, Pytorch, and/or Tensorflow is essential. You should have a solid understanding of linear algebra, time series analysis, data mining, numerical methods, and statistical tools, including PCA and regression. A proven track record of dedication and perseverance in solving complex problems is highly valued. Excellent English communication skills, both written and oral, are a must. Soft skills are also crucial for this role. You should possess excellent communication skills, both written and oral, along with self-awareness, intellectual curiosity, and a team-player mentality. Being a self-starter, enthusiastic, and positive thinker will contribute to your success in this position. In addition to the aforementioned requirements, it would be advantageous to have a degree in a technical or quantitative discipline like statistics, mathematics, physics, electrical engineering, or computer science. Exposure to packages such as pandas, NumPy, stats models, sklearn, scipy, matplotlib, and TensorFlow is beneficial. C++ experience is considered an advantage. An interest or experience in machine learning techniques, time series analysis, and econometrics is preferred. Experience in Deep Learning, including DNN, CNN, RNN/LSTM, GAN, or other autoencoders, is a plus. This opportunity is with Nirvana Solutions and was posted by Aayushi K.,

As an Academic Content Developer specializing in Engineering Mathematics and General Aptitude for GATE BT and CSIR NET Life Science syllabus, your primary responsibilities will include developing and reviewing high-quality academic content, creating practice questions and quizzes, and analyzing exam patterns to curate topic-wise question banks. Additionally, you will conduct engaging online lectures and webinars to simplify complex mathematical concepts and integrate real-world examples for better understanding. You will be responsible for assessing students" understanding through periodic assessments, providing constructive feedback, and guiding them in effective problem-solving techniques specific to the GATE BT exam. Ensuring accuracy, clarity, and adherence to academic standards, staying updated with syllabus changes, and engaging students through a stimulating learning environment will also be crucial aspects of your role. To qualify for this position, you must hold a Masters or Ph.D. in Mathematics, Engineering Mathematics, or a related field, with a strong grasp of core topics in Engineering Mathematics relevant to GATE BT. A minimum of 2 years of teaching experience in Engineering Mathematics, preferably for competitive exams, is required. Proficiency in online teaching tools, content creation software, excellent communication skills, and the ability to simplify complex concepts are essential skills for this role. Preferred skills include experience in creating study materials and video content for similar exams, knowledge of online teaching platforms, and conducting live mock tests for analyzing student performance. Your role will be instrumental in providing personalized academic guidance and mentorship to students, addressing their individual challenges in mastering Engineering Mathematics concepts effectively.,

We are looking for enthusiastic individuals who thrive on self-motivation and excel in first-principles thinking. In the ever-evolving world of AI, brimming with daily innovations, we seek individuals adept at swiftly navigating through solutions and conquering challenges with zeal. Responsibilities: - Be responsible for driving cutting-edge research projects in NLP and Computer Vision. - Leverage state-of-the-art techniques to design and implement innovative solutions. - Document and communicate thought processes, technical findings, and evaluation results. - Implement and fine-tune state-of-the-art foundational models (deep learning or classical ML models). - Collaborate with ML engineers, designers, software engineers, editorial team, and product managers in delivering high-impact ML solutions. - Mentor and guide junior engineers and scientists. Requirements: - Bachelors or Masters in AI/ML, Computer Science, Statistics, or other relevant fields. - Depth of knowledge in Natural Language Processing and/or Computer Vision. - Industry experience in using TensorFlow or PyTorch to implement or finetune multimodal deep learning models. - Strong understanding of statistics, linear algebra, probability theory, and numerical optimization. - Strong programming skills in Python preferably in a production environment. - Proven experience in defining problems from real-world scenarios (often ambiguous) and implementing creative solutions.,

Job Role: Software Engineer (Robotics/Autonomous Systems) Experience: 2+Yrs Location: Bengaluru Notice period: Max 15days Role Overview We are seeking a Software Engineer (Robotics/Autonomous Systems) who thrives in taking projects from concept to production You should be a proactive self-starter, comfortable designing, building, and deploying robust software solutions that power our core systems, Key Responsibilities Develop and maintain Aevas software infrastructure, APIs, and SDKs for production deployment, Work across the product lifecycle?from feature ideation and implementation to deployment?covering software tools and sensor emulation, Optimize code for maximum performance, scalability, and reliability, Follow established coding standards and best practices to ensure high-quality, maintainable code, Collaborate with cross-functional teams to deliver impactful, high-quality projects, Own assigned deliverables, ensure they are completed on time with proper documentation and thorough testing, Participate actively in design reviews, team discussions, and technical brainstorming sessions, Take initiative to propose and implement improvements to processes, tools, and development practices, Qualifications Bachelors degree in computer science, Computer Engineering, Electronics & Communications, or related field, 24 years of relevant industry experience, Strong proficiency in C++ development in a Linux environment, Skilled in scripting languages such as Python and Bash, Preferred Skills Experience with robotics or autonomous vehicle frameworks (e-g , ROS/ROS2), Solid understanding of linear algebra and 3D geometry fundamentals, Familiarity with modern build systems (e-g , Bazel or equivalent), Understanding of networking basics and communication protocols, Experience with automation frameworks such as Jenkins or similar,

Mathematics Instructor Experience: 2 - 5 Years Exp Salary: 10 to 15 LPA Preferred Notice Period: Upto 30 Days Opportunity Type: Office (Pune) Placement Type: Full-time (*Note: This is a requirement for one of Uplers' Clients) Must have skills: Mathematics OR engineering maths OR Discrete maths AND Calculus AND linear algebra About Newton School: Newton School Come be part of a rocket ship thats creating a massive impact in the world of education! On one side you have over a million college graduates every year with barely 5% employability rates and on the other side, there are thousands of companies struggling to find talent. Newton School aims to bridge this massive gap through its personalized learning platform. We are building an online university and solving the deep problem of the employability of graduates.We have a strong core team consisting of alumni from IITs and IIM, having several years of industry experience in companies like Unacademy, Inmobi, Ola, and Microsoft - among others. On this mission, we are backed by some of the most respected investors around the world, - RTP Global, Nexus Venture Partners, and a slew of angel investors including CREDs Kunal Shah, Flipkarts Kalyan Krishnamoorthy, Unacademy and Razorpay founders, Udaans Sujeet Kumar among others. About the Role: Overview : Why join us? At Newton School of Technology, we are redefining how engineering is taught in India. In collaboration with Ajeenkya DY Patil University and Rishihood University, we are building a new-age academic ecosystem where industry leaders, researchers, and educators work together to train the next generation of engineers. Youll be joining a high-impact academic team that includes scientists from ISRO, ICPC world finalists, and industry veterans. Together, we are solving Indias biggest challenge: the employability gap. If you love Mathematics, teaching B.Tech students, and shaping future engineers, this role is for you. These are full-time (on-site academic) roles at Newton school of Technology across Different locations: Sonipat and Pune. Job Summary : Join us as an Mathematics Instructor in our Mathematics Department at Newton School of Technology. We are seeking an experienced professional to deliver high-quality lectures, design course content, and mentor students of B.tech Computer Science and take lab classes ensuring their success in the tech field. Key Responsibilities: Course Development & Delivery: Design and deliver engaging lectures and practical sessions in Mathematical Topics. Teach and mentor B.Tech students in core Mathematics, including: Linear Algebra, Advanced Calculus, Mathematical Foundations for Computer Science,Probability & Statistics, Discrete Mathematics, Optimization. Design and deliver engaging lectures, tutorials, and practical sessions. Integrate Mathematical concepts with Computer Science applicationsAI, Data Science, Algorithms. Mentor students through projects, competitions, and guided research. Lab Management: Conduct and manage lab sessions to provide students with hands-on coding experience. Cross-Functional Collaboration: Work closely with faculty members, researchers, and industry partners to enhance the curriculum. Academic Excellence & Student Success: Mentor students, assist with project work, and ensure academic growth. Stakeholder Engagement: Collaborate with university administrators and Newton School representatives to drive innovation. Research & Innovation: Encourage students to engage in cutting-edge research and industry collaborations. Required Skills & Qualifications: Must Haves: Expertise in Core Mathematics Strong command of Linear Algebra, Advanced Calculus, Probability & Statistics, Discrete Mathematics, and Mathematical Foundations for Computer Science. Teaching & Mentoring B.Tech Students – Proven ability to explain complex mathematical concepts in a simple, engaging manner for engineering students (B.tech Computer Science students) Curriculum Development & Delivery – Experience in designing, structuring, and delivering courses/lectures with modern teaching methodologies. Application-Oriented Thinking – Ability to connect Mathematics to Computer Science applications (AI/ML, Data Science, Optimization, Algorithms). Communication & Engagement Skills – Excellent verbal and written communication, with strong student engagement and mentorship capability. Good to have: Prior experience teaching at the undergraduate or postgraduate level in Mathematics (especially in CS contexts). Familiarity with AI/ML, Data Science, or Optimization applications. Knowledge of tools like GeoGebra, Desmos, MATLAB, or Python. Exposure to research or Math-based software development. Perks and Benefits : Competitive salary packages aligned with industry standards. Access to state-of-the-art labs and classroom facilities Contribution to cutting-edge academic work in collaboration with Newton School of Technology. How to apply for this opportunity? Easy 3 Step Process: Click On Apply and register or log in to our portal Upload updated Resume & complete the Screening Form Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Mathematics Instructor Experience: 2 - 5 Years Exp Salary: 10 to 15 LPA Preferred Notice Period: Upto 30 Days Opportunity Type: Office (Pune) Placement Type: Full-time (*Note: This is a requirement for one of Uplers' Clients) Must have skills: Mathematics OR engineering maths OR Discrete maths AND Calculus AND linear algebra About Newton School: Newton School Come be part of a rocket ship thats creating a massive impact in the world of education! On one side you have over a million college graduates every year with barely 5% employability rates and on the other side, there are thousands of companies struggling to find talent. Newton School aims to bridge this massive gap through its personalized learning platform. We are building an online university and solving the deep problem of the employability of graduates.We have a strong core team consisting of alumni from IITs and IIM, having several years of industry experience in companies like Unacademy, Inmobi, Ola, and Microsoft - among others. On this mission, we are backed by some of the most respected investors around the world, - RTP Global, Nexus Venture Partners, and a slew of angel investors including CREDs Kunal Shah, Flipkarts Kalyan Krishnamoorthy, Unacademy and Razorpay founders, Udaans Sujeet Kumar among others. About the Role: Overview : Why join us? At Newton School of Technology, we are redefining how engineering is taught in India. In collaboration with Ajeenkya DY Patil University and Rishihood University, we are building a new-age academic ecosystem where industry leaders, researchers, and educators work together to train the next generation of engineers. Youll be joining a high-impact academic team that includes scientists from ISRO, ICPC world finalists, and industry veterans. Together, we are solving Indias biggest challenge: the employability gap. If you love Mathematics, teaching B.Tech students, and shaping future engineers, this role is for you. These are full-time (on-site academic) roles at Newton school of Technology across Different locations: Sonipat and Pune. Job Summary : Join us as an Mathematics Instructor in our Mathematics Department at Newton School of Technology. We are seeking an experienced professional to deliver high-quality lectures, design course content, and mentor students of B.tech Computer Science and take lab classes ensuring their success in the tech field. Key Responsibilities: Course Development & Delivery: Design and deliver engaging lectures and practical sessions in Mathematical Topics. Teach and mentor B.Tech students in core Mathematics, including: Linear Algebra, Advanced Calculus, Mathematical Foundations for Computer Science,Probability & Statistics, Discrete Mathematics, Optimization. Design and deliver engaging lectures, tutorials, and practical sessions. Integrate Mathematical concepts with Computer Science applicationsAI, Data Science, Algorithms. Mentor students through projects, competitions, and guided research. Lab Management: Conduct and manage lab sessions to provide students with hands-on coding experience. Cross-Functional Collaboration: Work closely with faculty members, researchers, and industry partners to enhance the curriculum. Academic Excellence & Student Success: Mentor students, assist with project work, and ensure academic growth. Stakeholder Engagement: Collaborate with university administrators and Newton School representatives to drive innovation. Research & Innovation: Encourage students to engage in cutting-edge research and industry collaborations. Required Skills & Qualifications: Must Haves: Expertise in Core Mathematics Strong command of Linear Algebra, Advanced Calculus, Probability & Statistics, Discrete Mathematics, and Mathematical Foundations for Computer Science. Teaching & Mentoring B.Tech Students – Proven ability to explain complex mathematical concepts in a simple, engaging manner for engineering students (B.tech Computer Science students) Curriculum Development & Delivery – Experience in designing, structuring, and delivering courses/lectures with modern teaching methodologies. Application-Oriented Thinking – Ability to connect Mathematics to Computer Science applications (AI/ML, Data Science, Optimization, Algorithms). Communication & Engagement Skills – Excellent verbal and written communication, with strong student engagement and mentorship capability. Good to have: Prior experience teaching at the undergraduate or postgraduate level in Mathematics (especially in CS contexts). Familiarity with AI/ML, Data Science, or Optimization applications. Knowledge of tools like GeoGebra, Desmos, MATLAB, or Python. Exposure to research or Math-based software development. Perks and Benefits : Competitive salary packages aligned with industry standards. Access to state-of-the-art labs and classroom facilities Contribution to cutting-edge academic work in collaboration with Newton School of Technology. How to apply for this opportunity? Easy 3 Step Process: Click On Apply and register or log in to our portal Upload updated Resume & complete the Screening Form Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

At CodersArts, we believe in pushing the boundaries of AI and ML by turning bold ideas into cutting-edge solutions. Our Research Careers program offers an unparalleled opportunity to work on transformative projects, collaborate with world-class experts, and make a tangible impact in the AI/ML landscape. At CodersArts Research, we're shaping the world of Artificial Intelligence and Machine Learning by delivering cutting-edge solutions, providing educational support, and empowering developers to push the boundaries of innovation. If you're passionate about making a real impact in the AI and ML domain, this is the place for you. Why Join CodersArts Research 1) Innovation-Driven Culture: Work on groundbreaking AI and ML projects and Proof-of-Concepts (POCs) that solve real-world problems. 2) Continuous Learning: Access to advanced research, tools, and resources to enhance your skills and stay ahead in the industry. 3) Collaborative Environment: Be part of a team of experts who believe in sharing knowledge and fostering growth. 4) Impactful Work: Contribute to projects that empower businesses and communities globally. What We Offer: 1) Competitive compensation packages. 2) Opportunities for professional development and certifications. 3) Flexible work arrangements. 4) Access to premium AI/ML tools and resources. 5) A platform to publish research and gain industry recognition. Minimum qualifications: Educational Background: Bachelor's or higher degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. Exceptions for candidates with strong portfolios or relevant industry experience. Core Skills: Strong foundation in mathematics and statistics (e.g., linear algebra, probability, calculus). Proficiency in programming languages such as Python, R, or Java. Hands-on experience with AI/ML libraries and frameworks like TensorFlow, PyTorch, or Scikit-learn. Problem-Solving Skills: Demonstrated ability to design and implement AI/ML solutions to complex problems. Communication and Collaboration: Ability to effectively communicate research ideas and collaborate within multi-disciplinary teams. Preferred qualifications: Relevant certifications like Google AI Certification, AWS Machine Learning Specialty, or DeepLearning.AI certifications are a plus. Role and Responsibilities: 1. AI Research Intern Responsibilities: - Assist in developing AI/ML models and algorithms. - Conduct literature reviews and experiment with new techniques. - Document findings and prepare research papers or reports. Ideal for: Students or early-career professionals looking to kickstart their research careers. 2. Machine Learning Engineer Responsibilities: - Develop, train, and deploy ML models for research prototypes. - Optimize models for scalability and performance. - Collaborate on multi-disciplinary research projects. Ideal for: Professionals with hands-on experience in ML frameworks like TensorFlow, PyTorch, or Scikit-learn. 3. Research Scientist Responsibilities: - Lead innovative research projects in AI/ML. - Publish papers in top-tier conferences and journals. - Mentor junior researchers and interns. Ideal for: PhD holders or experienced researchers with a strong academic and industry background. 4. Data Scientist Responsibilities: - Analyze complex datasets to uncover actionable insights. - Design experiments to validate hypotheses and test AI/ML models. - Develop visualizations and reports to communicate findings effectively. Ideal for: Professionals skilled in data wrangling, statistical analysis, and ML. 5. NLP Specialist Responsibilities: - Develop and refine NLP models for tasks like text generation, sentiment analysis, and entity recognition. - Experiment with large language models (LLMs) and cutting-edge NLP techniques. - Integrate NLP solutions into real-world applications. Ideal for: Individuals passionate about language models and conversational AI. Perks of Working at CodersArts: - Continuous Learning: Access to courses, certifications, and industry conferences. - Global Exposure: Collaborate with international clients and projects. - Research Support: Dedicated time for independent research and experimentation. - Growth Opportunities: Clear career pathways for advancement within the organization.,

Job Title: Mathematics Subject matter Expert Location: Sonipat (On-Site), Pune Institution: Rishihood University, Sonipat. Experience: 2 + years in teaching/training advanced engineering mathematics. About The Role Overview : Newton School and Rishihood University have partnered to transform technology education and bridge the employability gap. Ajeenkya DY Patil University and Rishihood University in collaboration with Newton School, is committed to revolutionizing learning, empowering students, and shaping the future of the tech industry. With a team of renowned professionals and industry leaders, we aim to solve the employability challenge and create a lasting impact on society. We are currently looking for a Mathematics Subject Matter Expert to join our Mathematics Department. This is an academic-focused role, requiring a strong background in Advanced Engineering Maths , teaching, and mentoring students in core Computer Science subjects. This is a full-time Academic role at Rishihood University, Sonipat and Ajeenkya DY Patil university, Pune. Job Summary Join us as an Mathematics Subject matter expert in our Mathematics Department at Newton School of Technology. We are seeking an experienced professional to deliver high-quality lectures, design course content, and mentor students and take lab classes ensuring their success in the tech field. Key Responsibilities Course Development & Delivery: Design and deliver engaging lectures and practical sessions in Mathematical Topics. Lab Management: Conduct and manage lab sessions to provide students with hands-on coding experience. Cross-Functional Collaboration: Work closely with faculty members, researchers, and industry partners to enhance the curriculum. Academic Excellence & Student Success: Mentor students, assist with project work, and ensure academic growth. Stakeholder Engagement: Collaborate with university administrators and Newton School representatives to drive innovation. Research & Innovation: Encourage students to engage in cutting-edge research and industry collaborations. Required Skills & Qualifications Must Haves: Minimum 1+ years of industry experience with a focus on Maths topics. Proficiency in Advanced Engineering Mathematics and its Applications particularly in topics like Calculus, Linear Algebra, Probability and Statistics, Discrete Mathematics, Optimization etc. Strong ability to explain complex technical concepts in simple terms to students. Strong willingness to help students and do high impact work. Good To Have Prior teaching experience at the undergraduate or graduate level with Computer Science Applications Expertise in Computer Science topics such as AI/ML or Data Science etc Familiarity with visualization Softwares such as DesMos or Geogebra is a big plus Familiarity with modern teaching methodologies and academic tools Experience in software development related to Maths. Perks And Benefits Competitive salary packages aligned with industry standards. Access to state-of-the-art labs and classroom facilities Contribution to cutting-edge academic work in collaboration with Newton School of Technology. Interview Process The selection process consists of three rounds designed to assess technical expertise, teaching ability, and cultural fit: Round 1 Technical Evaluation: Assessment of theoretical knowledge and problem solving skills along with conceptual approach in Mathematics. Round 2 Topic Delivery Assessment: Candidates will be required to deliver a mock lecture to evaluate, teaching methodology, engagement, and conceptual clarity Round 3 General Discussion & Culture Fit: A discussion with university and Newton School representatives to assess alignment with academic values, teamwork, and long-term career aspirations. In the meantime, you can explore our website Newton School of Technology to learn more about Newton School of Technology and our work. We look forward to welcoming you to our academic team and shaping the future of technology education together! Links For Your Reference Newton School of Technology Show more Show less

You will be responsible for understanding software/system components and associated specifications. Your role will involve modifying the architecture to enhance accuracy using techniques such as hyperparameter tuning, changing validation and test strategies, and selecting the right loss and activation functions. It is crucial to have a decent understanding of CNN-based popular models like ResNet, BERT, VGG16, and the ability to apply statistical techniques for data analysis. You will also be optimizing neural architecture for production deployment. Your technical skills should include a good knowledge of Maths and Statistics, particularly in calculus, linear algebra, and Bayesian statistics. It is essential to have a working knowledge of CNN-based architecture for imaging or video applications, along with a good understanding of programming languages like Python, C/C++, Tensorflow/Keras APIs, and the OpenCV library. Familiarity with various optimization techniques for production deployment and a demonstratable track record of delivering in a production environment are required. Exposure to image processing/audio signal processing and hands-on knowledge of using GPUs for Tensorflow to speed up inference will be advantageous. In terms of soft skills, you should possess strong analytical and problem-solving abilities, with a quick adaptation to new technologies, methodologies, and systems. Being a self-starter with a positive attitude, the ability to proactively identify issues and opportunities for improvement, and a mature understanding of the business perspective of requirements and interpersonal relationships when interacting with non-team members are essential. Additionally, you should be a team player. The ideal candidate should hold a Graduate/Post-Graduate degree in Computer Science/Maths/Stats/Physics from a reputed institution. A consistently good academic record with a minimum of 70% throughout (from 10th std onwards) is required. This position is based in Noida.,

As a Senior Data Scientist II at Poshmark, you will have the opportunity to leverage cutting-edge AI/ML technologies to drive business impact in various areas such as personalization, trust & safety, marketing optimization, and product experience. Poshmark, a leader in Social Commerce, provides a unique environment to work with extensive multi-platform social and commerce data, with over 130 million users generating billions of daily events and petabytes of rapidly growing data. If you are passionate about building impactful, data-driven AI solutions for millions of users, then this is the place for you. Your responsibilities will include driving end-to-end data science initiatives, collaborating with cross-functional teams to design and deploy high-impact models, developing scalable solutions for key areas like product, marketing, operations, and community functions, and owning the entire ML Development lifecycle from data exploration to performance optimization. You will also be expected to apply best practices for managing and maintaining machine learning models in production environments and to explore emerging AI trends, technologies, and methodologies to keep Poshmark at the cutting edge of innovation. To be successful in this role, you should have 6-9 years of experience in building scalable data science solutions in a big data environment, with a strong background in personalization algorithms, recommendation systems, or user behavior modeling. Hands-on experience with key ML algorithms such as CNNs, Transformers, and Vision Transformers is required, along with proficiency in Python, SQL, Spark (Scala or PySpark), and deep learning frameworks like PyTorch or TensorFlow. Additionally, you should have a solid understanding of linear algebra, statistics, probability, calculus, and A/B testing concepts, and possess strong collaboration and communication skills to effectively communicate complex technical ideas to diverse audiences. Poshmark is an Equal Opportunity Employer that celebrates diversity and is committed to creating an inclusive environment for all employees. If you are excited about the opportunity to work on challenging data science projects and make a positive impact through your work, we encourage you to apply for this role at Poshmark.,

As a Principal AI Engineer at G-P, you will be responsible for designing, developing, and deploying AI solutions that tackle complex business challenges. Your role will demand advanced expertise in artificial intelligence, encompassing machine learning and natural language processing, and the capability to integrate these technologies into production-grade systems. You will play a pivotal role in developing innovative, scalable AI solutions that address real business problems. Your responsibilities will include driving projects from inception to deployment, ensuring alignment with business objectives, and dedicating approximately 20% of your time to understanding problems and collaborating with stakeholders. Managing complex data sets, designing efficient data processing pipelines, and working on robust models will be a significant part of your tasks, consuming roughly 80% of your time. Collaboration with other AI engineers, product managers, and stakeholders to ensure AI solutions meet business needs and enhance user satisfaction will also be crucial. Furthermore, you will be expected to write clear, concise, and comprehensive technical documentation for all projects developed, stay abreast of the latest field developments, and explore new technologies and approaches to tackle specific business challenges. Required Skills and Qualifications: - Master's degree in Computer Science, Machine Learning, Statistics, Engineering, Mathematics, or related field - Deep understanding and practical experience in machine learning and natural language processing, especially LLMs - Strong foundational knowledge in statistical modeling, probability, and linear algebra - Extensive practical experience with curating datasets, training models, analyzing post-deployment data, and developing robust metrics for model reliability - Experience in developing and maintaining machine learning services for real-world applications at scale - Proficiency in Python programming - High standards for code craftsmanship (maintainable, testable, production-ready code) - Proficiency with Docker - Knowledge of system design and cloud infrastructure for secure and scalable AI solutions - Proficiency with AWS - Proven track record in driving AI projects with strong technical leadership - Excellent communication skills for engaging with technical and non-technical stakeholders Nice To Have Qualifications: - Experience with natural language processing for legal applications - Proficiency with Terraform - React and Node.js experience If you are prepared to contribute significantly in a fast-paced startup environment, where innovation and hard work are valued, G-P offers the ideal platform for you. Embrace the hustle and be willing to put in extra hours when necessary to drive our mission forward.,

Mathematics Instructor Experience: 2 - 5 Years Exp Salary: 10 to 15 LPA Preferred Notice Period: Upto 30 Days Opportunity Type: Office (Pune) Placement Type: Full-time (*Note: This is a requirement for one of Uplers' Clients) Must have skills: Mathematics OR engineering maths OR Discrete maths AND Calculus AND linear algebra About Newton School: Newton School Come be part of a rocket ship thats creating a massive impact in the world of education! On one side you have over a million college graduates every year with barely 5% employability rates and on the other side, there are thousands of companies struggling to find talent. Newton School aims to bridge this massive gap through its personalized learning platform. We are building an online university and solving the deep problem of the employability of graduates.We have a strong core team consisting of alumni from IITs and IIM, having several years of industry experience in companies like Unacademy, Inmobi, Ola, and Microsoft - among others. On this mission, we are backed by some of the most respected investors around the world, - RTP Global, Nexus Venture Partners, and a slew of angel investors including CREDs Kunal Shah, Flipkarts Kalyan Krishnamoorthy, Unacademy and Razorpay founders, Udaans Sujeet Kumar among others. About the Role: Overview : Why join us? At Newton School of Technology, we are redefining how engineering is taught in India. In collaboration with Ajeenkya DY Patil University and Rishihood University, we are building a new-age academic ecosystem where industry leaders, researchers, and educators work together to train the next generation of engineers. Youll be joining a high-impact academic team that includes scientists from ISRO, ICPC world finalists, and industry veterans. Together, we are solving Indias biggest challenge: the employability gap. If you love Mathematics, teaching B.Tech students, and shaping future engineers, this role is for you. These are full-time (on-site academic) roles at Newton school of Technology across Different locations: Sonipat and Pune. Job Summary : Join us as an Mathematics Instructor in our Mathematics Department at Newton School of Technology. We are seeking an experienced professional to deliver high-quality lectures, design course content, and mentor students of B.tech Computer Science and take lab classes ensuring their success in the tech field. Key Responsibilities: Course Development & Delivery: Design and deliver engaging lectures and practical sessions in Mathematical Topics. Teach and mentor B.Tech students in core Mathematics, including: Linear Algebra, Advanced Calculus, Mathematical Foundations for Computer Science,Probability & Statistics, Discrete Mathematics, Optimization. Design and deliver engaging lectures, tutorials, and practical sessions. Integrate Mathematical concepts with Computer Science applications—AI, Data Science, Algorithms. Mentor students through projects, competitions, and guided research. Lab Management: Conduct and manage lab sessions to provide students with hands-on coding experience. Cross-Functional Collaboration: Work closely with faculty members, researchers, and industry partners to enhance the curriculum. Academic Excellence & Student Success: Mentor students, assist with project work, and ensure academic growth. Stakeholder Engagement: Collaborate with university administrators and Newton School representatives to drive innovation. Research & Innovation: Encourage students to engage in cutting-edge research and industry collaborations. Required Skills & Qualifications: Must Haves: Expertise in Core Mathematics – Strong command of Linear Algebra, Advanced Calculus, Probability & Statistics, Discrete Mathematics, and Mathematical Foundations for Computer Science. Teaching & Mentoring B.Tech Students – Proven ability to explain complex mathematical concepts in a simple, engaging manner for engineering students (B.tech Computer Science students) Curriculum Development & Delivery – Experience in designing, structuring, and delivering courses/lectures with modern teaching methodologies. Application-Oriented Thinking – Ability to connect Mathematics to Computer Science applications (AI/ML, Data Science, Optimization, Algorithms). Communication & Engagement Skills – Excellent verbal and written communication, with strong student engagement and mentorship capability. Good to have: Prior experience teaching at the undergraduate or postgraduate level in Mathematics (especially in CS contexts). Familiarity with AI/ML, Data Science, or Optimization applications. Knowledge of tools like GeoGebra, Desmos, MATLAB, or Python. Exposure to research or Math-based software development. Perks and Benefits : Competitive salary packages aligned with industry standards. Access to state-of-the-art labs and classroom facilities Contribution to cutting-edge academic work in collaboration with Newton School of Technology. How to apply for this opportunity? Easy 3 Step Process: Click On Apply and register or log in to our portal Upload updated Resume & complete the Screening Form Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Mathematics Instructor Experience: 2 - 5 Years Exp Salary: 10 to 15 LPA Preferred Notice Period: Upto 30 Days Opportunity Type: Office (Pune) Placement Type: Full-time (*Note: This is a requirement for one of Uplers' Clients) Must have skills: Mathematics OR engineering maths OR Discrete maths AND Calculus AND linear algebra About Newton School: Newton School Come be part of a rocket ship thats creating a massive impact in the world of education! On one side you have over a million college graduates every year with barely 5% employability rates and on the other side, there are thousands of companies struggling to find talent. Newton School aims to bridge this massive gap through its personalized learning platform. We are building an online university and solving the deep problem of the employability of graduates.We have a strong core team consisting of alumni from IITs and IIM, having several years of industry experience in companies like Unacademy, Inmobi, Ola, and Microsoft - among others. On this mission, we are backed by some of the most respected investors around the world, - RTP Global, Nexus Venture Partners, and a slew of angel investors including CREDs Kunal Shah, Flipkarts Kalyan Krishnamoorthy, Unacademy and Razorpay founders, Udaans Sujeet Kumar among others. About the Role: Overview : Why join us? At Newton School of Technology, we are redefining how engineering is taught in India. In collaboration with Ajeenkya DY Patil University and Rishihood University, we are building a new-age academic ecosystem where industry leaders, researchers, and educators work together to train the next generation of engineers. Youll be joining a high-impact academic team that includes scientists from ISRO, ICPC world finalists, and industry veterans. Together, we are solving Indias biggest challenge: the employability gap. If you love Mathematics, teaching B.Tech students, and shaping future engineers, this role is for you. These are full-time (on-site academic) roles at Newton school of Technology across Different locations: Sonipat and Pune. Job Summary : Join us as an Mathematics Instructor in our Mathematics Department at Newton School of Technology. We are seeking an experienced professional to deliver high-quality lectures, design course content, and mentor students of B.tech Computer Science and take lab classes ensuring their success in the tech field. Key Responsibilities: Course Development & Delivery: Design and deliver engaging lectures and practical sessions in Mathematical Topics. Teach and mentor B.Tech students in core Mathematics, including: Linear Algebra, Advanced Calculus, Mathematical Foundations for Computer Science,Probability & Statistics, Discrete Mathematics, Optimization. Design and deliver engaging lectures, tutorials, and practical sessions. Integrate Mathematical concepts with Computer Science applications—AI, Data Science, Algorithms. Mentor students through projects, competitions, and guided research. Lab Management: Conduct and manage lab sessions to provide students with hands-on coding experience. Cross-Functional Collaboration: Work closely with faculty members, researchers, and industry partners to enhance the curriculum. Academic Excellence & Student Success: Mentor students, assist with project work, and ensure academic growth. Stakeholder Engagement: Collaborate with university administrators and Newton School representatives to drive innovation. Research & Innovation: Encourage students to engage in cutting-edge research and industry collaborations. Required Skills & Qualifications: Must Haves: Expertise in Core Mathematics – Strong command of Linear Algebra, Advanced Calculus, Probability & Statistics, Discrete Mathematics, and Mathematical Foundations for Computer Science. Teaching & Mentoring B.Tech Students – Proven ability to explain complex mathematical concepts in a simple, engaging manner for engineering students (B.tech Computer Science students) Curriculum Development & Delivery – Experience in designing, structuring, and delivering courses/lectures with modern teaching methodologies. Application-Oriented Thinking – Ability to connect Mathematics to Computer Science applications (AI/ML, Data Science, Optimization, Algorithms). Communication & Engagement Skills – Excellent verbal and written communication, with strong student engagement and mentorship capability. Good to have: Prior experience teaching at the undergraduate or postgraduate level in Mathematics (especially in CS contexts). Familiarity with AI/ML, Data Science, or Optimization applications. Knowledge of tools like GeoGebra, Desmos, MATLAB, or Python. Exposure to research or Math-based software development. Perks and Benefits : Competitive salary packages aligned with industry standards. Access to state-of-the-art labs and classroom facilities Contribution to cutting-edge academic work in collaboration with Newton School of Technology. How to apply for this opportunity? Easy 3 Step Process: Click On Apply and register or log in to our portal Upload updated Resume & complete the Screening Form Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Title: Mathematics Subject matter Expert Location: Sonipat (On-Site), Pune Institution: Rishihood University, Sonipat. Experience: 2 + years in teaching/training advanced engineering mathematics. About the Role: Overview : Newton School and Rishihood University have partnered to transform technology education and bridge the employability gap. Ajeenkya DY Patil University and Rishihood University in collaboration with Newton School, is committed to revolutionizing learning, empowering students, and shaping the future of the tech industry. With a team of renowned professionals and industry leaders , we aim to solve the employability challenge and create a lasting impact on society. We are currently looking for a Mathematics Subject Matter Expert to join our Mathematics Department . This is an academic-focused role , requiring a strong background in Advanced Engineering Maths , teaching, and mentoring students in core Computer Science subjects. This is a full-time Academic role at Rishihood University, Sonipat and Ajeenkya DY Patil university, Pune. Job Summary : Join us as an Mathematics Subject matter expert in our Mathematics Department at Newton School of Technology. We are seeking an experienced professional to deliver high-quality lectures, design course content, and mentor students and take lab classes ensuring their success in the tech field. Key Responsibilities: Course Development & Delivery: Design and deliver engaging lectures and practical sessions in Mathematical Topics. Lab Management: Conduct and manage lab sessions to provide students with hands-on coding experience. Cross-Functional Collaboration: Work closely with faculty members, researchers, and industry partners to enhance the curriculum. Academic Excellence & Student Success: Mentor students, assist with project work, and ensure academic growth. Stakeholder Engagement: Collaborate with university administrators and Newton School representatives to drive innovation. Research & Innovation: Encourage students to engage in cutting-edge research and industry collaborations. Required Skills & Qualifications: Must Haves: Minimum 1+ years of industry experience with a focus on Maths topics. Proficiency in Advanced Engineering Mathematics and its Applications particularly in topics like Calculus, Linear Algebra, Probability and Statistics, Discrete Mathematics, Optimization etc. Strong ability to explain complex technical concepts in simple terms to students. Strong willingness to help students and do high impact work. Good to have : Prior teaching experience at the undergraduate or graduate level with Computer Science Applications Expertise in Computer Science topics such as AI/ML or Data Science etc Familiarity with visualization Softwares such as DesMos or Geogebra is a big plus Familiarity with modern teaching methodologies and academic tools Experience in software development related to Maths. Perks and Benefits : Competitive salary packages aligned with industry standards. Access to state-of-the-art labs and classroom facilities Contribution to cutting-edge academic work in collaboration with Newton School of Technology. Interview Process: The selection process consists of three rounds designed to assess technical expertise, teaching ability, and cultural fit : Round 1 – Technical Evaluation: Assessment of theoretical knowledge and problem solving skills along with conceptual approach in Mathematics. Round 2 – Topic Delivery Assessment: Candidates will be required to deliver a mock lecture to evaluate, teaching methodology, engagement, and conceptual clarity Round 3 – General Discussion & Culture Fit: A discussion with university and Newton School representatives to assess alignment with academic values, teamwork, and long-term career aspirations. In the meantime, you can explore our website Newton School of Technology to learn more about Newton School of Technology and our work. We look forward to welcoming you to our academic team and shaping the future of technology education together! Links for your reference: Newton School of Technology

This is a full-time on-site role for an Assistant Professor The Teaching FACULTY will be responsible for conducting lectures, preparing course materials, TrainingResponsibilities: Teaching: Delivering lectures on a variety of mathematics courses, such as calculus, linear algebra, differential equations, and discrete mathematics. Designing and implementing effective teaching methods, including traditional lectures, problem-based learning, and project-based learning. Developing and updating course materials, such as syllabi, lecture notes, and assignments. Assessing student learning through exams, quizzes, and projects. Providing academic advising and mentoring to students. Research: Conducting research in a specific area of mathematics, such as algebra, geometry, analysis, or applied mathematics. Publishing research papers in reputable academic journals. Presenting research findings at conferences and workshops. Supervising graduate students and postdoctoral researchers. Service: Serving on departmental and university committees. Participating in faculty governance and decision-making. Engaging in outreach activities, such as public lectures and science fairs. Post Ph.D with a minimum of 1 years of teaching experience in Academia / Research /Industry

Job Requisition ID # 25WD89482 Position Overview We are looking for a highly skilled and motivated Software Engineerto help build our next-generationcloud-based CAD platform. This role is ideal for someone with strong software engineering experience and a solid understanding ofmechanical engineering concepts,linear algebra, andCAD workflows, especially with tools likeAutodesk Inventor and/or Fusion 360. Experience withfinite element analysis (FEA)andQtis a strong plus. You'll contribute to the design and development of scalable, collaborative, and high-performance tools that empower engineers and designers to innovate in the cloud. Responsibilities: Develop Cloud-Based Features: Design and implement robust, scalable software components for 3D modeling, simulation, and collaboration Collaborate Across Teams: Work closely with product managers, designers, and fellow engineers to deliver intuitive and powerful CAD tools CAD Integration: Leverage your experience with Inventor and/or Fusion 360 to ensure seamless interoperability and user-centric design Apply Engineering Knowledge: Use your understanding of mechanical engineering and linear algebra to support accurate modeling and simulation Contribute to UI/UX: Develop cross-platform desktop interfaces using Qt and modern frontend technologies Maintain Code Quality: Write clean, maintainable code and participate in code reviews, testing, and continuous integration Minimum Qualifications: Bachelor's or master's degree in computer science, Mechanical Engineering, or a related field 3+ years of professional software development experience Strong C++, Typescript and Data Structures, Object Oriented Programming, Design Patterns, Computer Science fundamental Experience with cloud platforms (AWS, Azure, or GCP) and modern backend architectures Solid understanding of 3D graphics, computational geometry, andlinear algebra Preferred Qualifications: Background inmechanical engineeringor experience working with mechanical design teams Hands-on experience withAutodesk Inventor and/or Fusion 360, including APIs and data formats Experience withQtfor desktop application development. Familiarity with WebGL/WebGPU and frontend frameworks (e.g., React, Svelte Knowledge offinite element analysis (FEA)concepts and integration with CAD tools Experience with collaborative editing technologies (e.g., CRDTs, OT) Contributions to open-source CAD or simulation projects Experience with Autodesk Forge or similar cloud-based CAD platforms #LI-Hybrid #LI-SB4 Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future Join us! Salary transparency Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: Are you an existing contractor or consultant with Autodesk Please search for open jobs and apply internally (not on this external site).

As a Media Marketing Manager, you will be responsible for strategic corporate relationship planning and client prospecting. Your main tasks will include working on strategic corporate relationship plans, client prospecting, studying and researching new markets, conducting industry evaluations, and client meetings. You should have hands-on experience in dealing with text and/or image data, as well as knowledge of distributed and parallel processing frameworks like Spark. A basic understanding of statistics, linear algebra, and calculus is required, along with a good understanding of data structures. The location of this role is Cyber City, Gurgaon. Keywords: media marketing, marketing management, corporate relations, prospecting.,

At Zessta, ideation and innovation is a tradition, team spirit a culture, and customer oriented approach a religion. With these values we are treading ahead to become game-changers in the arena of next generation technologies. We are amongst the torch-bearing companies in the SMAC solutions space supporting enterprises to adopt the new wave of technology. Our passion lies in building solutions that modernize enterprise processes, simplifies commerce and eases life. We cater to companies across diverse industries and have been fortunate to partner with some of the largest brands across the globe. We believe that satisfied employees and happy customers are the ultimate profit benchmarks and we strive to achieve the same. We offer growth opportunities to committed professionals who believe in visualization and actualizations of their ideas. We are keen on hiring associates who are curious observers, eager learners, and team players. We are looking for people who are passionate about simplifying the complexities of business around them. If you feel you are fit to be a part of this environment, write to us today at careers@zessta.com Responsibilities: - Designing and developing machine learning and deep learning systems according to the requirements. - Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability. - Independently handle bug fixes and releases to production. - Verifying data quality, and/or ensuring it via data cleaning. - Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world. - Perform self-testing, integration testing and deployment testing. - Deployment of code to production environment following the procedures and standards diligently. - Explore and analyze the suitability of third-party libraries. - Deploying models to production. Skills and Experience: - Proven experience as a Machine Learning Engineer or similar role. - Understanding of data structures, data modelling and software architecture. - Deep knowledge of linear algebra, probability, statistics and ML algorithms. - Good knowledge of data structures and algorithms and implementing them in C/C++. - Working experience with device drivers on Linux specifically related to real-time video streaming pipeline using v4l2, Gstreamer, UVC driver, Nvidia accelerated Gstreamer, low latency video capture. - Ability to write robust code in Python, R and Java. - Knowledge of C Embedded programming is preferred. - Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like Numpy, pandas, seaborn, scikit-learn, etc.) - Proficiency with a deep learning framework such as TensorFlow or Keras. - Proficiency with OpenCV. - Linux SysAdmin skills. - Git management, source code build and release management. - Ability to select hardware to run an ML model with the required latency. - Experience in Image Processing is preferable. - Excellent communication skills. Education and Experience: - Bachelors or Masters from Premier Institutes preferred. - Experience 3-10 years,

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired bya collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizationsunlock the value of technology and build a more sustainable, more inclusive world. Your Role As a Data Modeler , you will play a critical role in designing and implementing robust data models that support enterprise data warehousing and analytics initiatives. You will Apply your strong foundation in data structures, algorithms, calculus, linear algebra, and machine learning to design scalable and efficient data models. Leverage your expertise in data warehousing concepts such as Star Schema, Snowflake Schema, and Data Vault to architect and optimize data marts and enterprise data warehouses. Utilize industry-standard data modeling tools like Erwin, ER/Studio, and MySQL Workbench to create and maintain logical and physical data models. Thrive in a fast-paced, dynamic environment, collaborating with cross-functional teams to deliver high-quality data solutions under tight deadlines. Demonstrate strong conceptual modeling skills, with the ability to see the big picture and design solutions that align with business goals. Exhibit excellent communication and stakeholder management skills, effectively translating complex technical concepts into clear, actionable insights for both technical and non-technical audiences. Your Profile Good knowledge and expertise on data structures and algorithms and calculus, linear algebra, machine learning and modeling. Experience in data warehousing concepts including Star schema, snowflake or data vault for data mart or data warehousing Experience using data modeling software like Erwin, ER studio, MySQL Workbench to produce logical and physical data models. Experience in working in a challenging , fast-paced environment Expertise in conceptual modelling; ability to see the big picture and envision possible solutions Excellent communication & stakeholder management skills. Experience in working in a challenging, fast-paced environment Excellent communication & stakeholder management skills. What youll love about working here You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications.