156 Linear Algebra Jobs - Page 6

Associate Level 1 / Senior Associate - Data Scientist (Tabular & Text) - GM Data & AI Lab Position Purpose Your work will span across multiple areas, including predictive modelling, automation and process optimization. We use AI to discover patterns, classify information, and predict likelihoods. Our team works on building, refining, testing, and deploying these models to support various business use cases, ultimately driving business value and innovation. As a Data Scientist on our team, you can expect to work on challenging projects, collaborate with stakeholders to identify business problems, and have the opportunity to learn and grow with our team. A typical day may involve working on model development, meeting with stakeholders to discuss project requirements/updates, and brainstorming/debugging with colleagues on various technical aspects. At the Lab, we're passionate about staying at the forefront of AI research, bridging the gap between research industry to drive innovation and to make a real impact on our businesses. Responsibilities 1. Develop and maintain AI models from inception to deployment, including data collection, analysis, feature engineering, model development, evaluation, and monitoring. 2. Identify areas for model improvement through independent research and analysis, and develop recommendations for updates and enhancements. 3. Working with expert colleagues and business representatives to examine the results and keep models grounded in reality. 4. Documenting each step of the development and informing decision makers by presenting them options and results. 5. Ensure the integrity and security of data. 6. Provide support for production models delivered by the Mumbai team but potentially as well for other models to any of the Asian/EU/US time zones. Technical Behavioral Competencies 1. Qualifications: Bachelors / Master / PhD degree in Computer Science / Data Science / Mathematics / Statistics / relevant STEM field. 2. Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning, Probability Theory and Linear Algebra. 3. Experience with Machine Learning Deep Learning concepts including data representations, neural network architectures, custom loss functions. 4. Proven track record of building AI model from scratch or finetuning on large models for Tabular or/and Textual data. 5. Programming skillsin Pythonand knowledge of common numerical and machine-learning packages (like NumPy,scikit-learn, pandas,PyTorch, transformers, langchain). 6. Ability to write clear and concise code in python. 7. Intellectually curious and willing to learn challenging concepts daily. 8. Knowledge of current Machine Learning/Artificial Intelligence literature. Skills Referential Behavioural Skills : Ability to collaborate / Teamwork Critical thinking Communication skills - oral written Attention to detail / rigor Transversal Skills: Analytical Ability Education Level: Bachelor Degree or equivalent Experience Level At least 1 year

About the Team Our Data Science team is the Avengers to Meeshos S.H.I.E.L.D . And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. Weve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. As Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.?? You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market. About the Role Love deep data. Love discussing solutions instead of problems. Then you could be our next Data Scientist. In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers. What you will do Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities Understand reseller preferences to provide them with the most relevant products Designing discount programs to help our resellers sell more Help resellers better recognise end-customer preferences to improve their revenue Use data to identify bottlenecks that will help our suppliers meet their SLA requirements Model seasonal demand to predict key organisational metrics Mentor junior data scientists in the team What you will need Bachelor's/Master's degree in computer science (or similar degrees) 2-4 years of experience as a Data Scientist in a fast-paced organization, preferably B2C Familiarity with Neural Networks, Machine Learning, etc Familiarity with tools like SQL, R, Python, etc Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors Experience designing and running A/B tests and drawing insights from them Proficiency in machine learning algorithms Excellent analytical skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams is a plus Bonus points for: Experience in working on personalization or other ML problems Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift.

As Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.?? You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market. But wait theres more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting Summer of 69 at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ?? About the Role Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist. In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers. What you will do Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities Understand reseller preferences to provide them with the most relevant products Designing discount programs to help our resellers sell more Help resellers better recognise end-customer preferences to improve their revenue Use data to identify bottlenecks that will help our suppliers meet their SLA requirements Model seasonal demand to predict key organisational metrics Mentor junior data scientists in the team What you will need Bachelor's/Master's degree in computer science (or similar degrees) 4-7 years of experience as a Data Scientist in a fast-paced organization, preferably B2C Familiarity with Neural Networks, Machine Learning etc. Familiarity with tools like SQL, R, Python, etc. Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors Experience designing and running A/B tests and drawing insights from them Proficiency in machine learning algorithms Excellent analytical skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams is a plus Bonus points for: Experience in working on personalization or other ML problems Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift

Company: Blubridge Technologies Pvt Ltd Role: Data Scientist - R&D Vacancies: 15 Year of Passing Out: 2025, 2024, 2023 Education: Bachelors or Masters degree in Computer Science, IT, AI, Electronics & Communication, Data Science, etc. Job Location: Mandaveli, Chennai Analyze and preprocess large-scale datasets to ensure data quality and reliability. Develop and implement statistical and machine learning models, including transformer-based algorithms. Conduct exploratory data analysis to derive meaningful insights for research projects. Systematically explore and optimize hyperparameters and scaling laws to enhance model accuracy and efficiency. Collaborate with cross-functional teams to develop and refine experimental workflows. Implement comprehensive data collection strategies, scraping publicly available multi-domain sources for diverse content. Perform advanced preprocessing and deduplication, ensuring data is cleaned, normalized, and consistent. Design and manage rigorous quality assurance pipelines to validate data quality, diversity, and representativeness. Employ innovative multilingual tokenization and document packing techniques for efficient and cohesive context learning. Document methodologies, results, and contribute to research publications. Stay updated on the latest research methodologies, tools, and techniques in data science and AI. Requirements: Strong foundation in mathematics and statistics, including calculus, linear algebra, probability, and statistical inference. Excellent analytical and logical reasoning skills. Bachelors/Masters/PhD in Data Science, Statistics, Computer Science, AI, Machine Learning, or related fields. Added Advantage: Proficiency in Python and familiarity with relevant data science libraries (NumPy, Pandas, SciPy, Matplotlib, Scikit-learn). Good understanding of machine learning concepts and techniques. Demonstrated ability to work effectively within a collaborative research environment. Experience or familiarity with deep learning frameworks such as PyTorch, TensorFlow, or Hugging Face. Knowledge of distributed computing and optimization for GPU-based environments. Prior research experience or publications in data science or related fields. What We Offer: A dynamic and innovative work environment in a cutting-edge AI research team. Opportunities for professional growth, mentorship, and learning. Competitive salary and benefits. Access to high-performance computing resources for data analysis and modeling. Access to the latest tools and technologies in AI.

Company: Blubridge Technologies Pvt Ltd Role: AI Solutions Architect - R&D Vacancies: 12 Year of Passing Out: 2025, 2024, 2023 Education: Bachelors or Masters degree in Computer Science, IT, AI, Electronics & Communication, Data Science, etc. Job Location: Mandaveli, Chennai Key Responsibilities: Architect scalable transformer-based AI model infrastructures. Collaborate with researchers to translate cutting-edge research into robust, scalable architectures. Evaluate existing AI infrastructures, propose enhancements, and optimize model deployments for performance, efficiency, and scalability. Design and implement robust AI pipelines and workflows from prototyping through experimentation phases. Develop novel frameworks and algorithms tailored to specific research goals. Systematic exploration of scaling laws and hyperparameter configurations to optimize model performance and efficiency. Provide technical leadership and mentorship on AI infrastructure and architectural decisions. Stay abreast of the latest AI technologies, research developments, and emerging frameworks. Required Skills and Qualifications: Strong logical reasoning and analytical skills. Solid foundation in Mathematics including calculus, probability, statistics, and linear algebra. Proficiency or willingness to learn programming languages such as Rust and CUDA for high-performance implementations. Excellent problem-solving, analytical, and communication skills. Demonstrated ability to work in a collaborative, fast-paced research-driven environment. What We Offer: A dynamic and innovative work environment in a cutting-edge AI research team. Opportunities for professional growth, mentorship, and learning. Competitive salary and benefits. Hands-on access to state-of-the-art hardware and server systems, such as H200 and RTX6000 Ada. Access to the latest tools and technologies in AI.

Your Role Data Modeler 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. Knowledge of enterprise databases such as DB2/Oracle/PostgreSQL/MYSQL/SQL Server. Hands on knowledge and experience with tools and techniques for analysis, data manipulation and presentation (e.g. PL/SQL, PySprak, Hive, Impala and other scripting tools) Experience with Software Development Lifecycle using the Agile methodology. Knowledge of agile methods (SAFe, Scrum, Kanban) and tools (Jira or Confluence) Expertise in conceptual modelling; ability to see the big picture and envision possible solutions Experience in working in a challenging, fast-paced environment Excellent communication & stakeholder management skills. Your Profile 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 Excellent communication & stakeholder management skills. What youll love about working here Choosing Capgemini means having the opportunity to make a difference, whether for the worlds leading businesses or for society. It means getting the support you need to shape your career in the way that works for you. It means when the future doesnt look as bright as youd like, you have the opportunity to make change: to rewrite it. When you join Capgemini, you dont just start a new job. You become part of something bigger. A diverse collective of free-thinkers, entrepreneurs and experts, all working together to unleash human energy through technology, for an inclusive and sustainable future. At Capgemini, people are at the heart of everything we do! You can exponentially grow your career by being part of innovative projects and taking advantage of our extensive Learning & Development programs. With us, you will experience an inclusive, safe, healthy, and flexible work environment to bring out the best in you! You also get a chance to make positive social change and build a better world by taking an active role in our Corporate Social Responsibility and Sustainability initiatives. And whilst you make a difference, you will also have a lot of fun. About Capgemini

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: At Qualcomm XR Perception, were a passionate team of engineers who want to change the world through virtual and augmented reality products and technologies. We develop state-of-the-art, power efficient XR perception algorithms optimized for Qualcomm hardware. The perception algorithms enable XR systems to map the users environment and track the user within the environment. To scale and strengthen our offering, Qualcomm XR Perception team in Bengaluru is rapidly expanding and seeking candidates to investigate and develop the fundamental perception algorithm that enables self-contained XR platforms. We are looking for innovators who will push the boundaries of mobile perception technology to offer a robust platform to our customers. Job Function/General Responsibilities In this job the candidate would Be part of a world-class XR team researching and developing XR perception Work with building blocks of Simultaneous Localization and Mapping (SLAM) o Multi-view geometry o Sensor Fusion o Pose estimation o Non-linear optimization Apply ML/ DL techniques to enhance accuracy and robustness of traditional SLAM systems Implement efficient and optimized algorithms in C++ Understand and analyze requirements for perception systems for XR platforms Have excellent verbal and written communication and presentation skills Candidate that fits this role should be well versed in the basics of Linear algebra Probability Multi-view geometry Sensor fusion Estimation techniques Non-linear optimization Machine learning techniques Object oriented programming in C++ Keywords Virtual reality, Augmented reality, Computer vision, Machine learning, Perception, VIO, SLAM Educational requirements: Bachelor's degree in Engineering, Applied Mathematics, Computer Science, or related field +3 years of work experience OR Master's degree in Engineering, Applied Mathematics, Computer Science, or related field Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field.

Job Area: Information Technology Group, Information Technology Group > IT Programmer Analyst General Summary: Qualcomms Engineering IT EDAAP team is looking for an independent contributor experienced in development and sustaining enterprise level software applications. Experience:7-10 years of experience developing dashboard with reporting tools- Tableau (Tableau API), Power BI, OBIEE. SkillsMust: Expert in developing visualizations/dashboards with Tableau Strong knowledge with SQL Fundamentals in object-oriented design, data structures, algorithms and problem solving. Test, debug and performance tuning of dashboards/reports Experience working in an agile development environment. Translate ad hoc report requests into common dashboards and application requirements Knowledge of different types of enterprise systems, their interaction, boundaries within an enterprise. Understanding of complex data models. Experience working with Oracle/MySQl/Postgres WILLINGNESS to multi task and work in a fast paced environment. Must be willing to take ownership and drive tasks to completion. Desirable: Python programming experience. Experience developing dashboards with Power BI. Exposure to Qlikview, OBIEE and ThoughtSpot Experience with semiconductor industry. Experience working with NoSQL Databases (MongoDB) as well as relational DBs (MySQL/Oracle) Education Bachelor's degree in technical discipline or equivalent experience required. Qualifications 5 or more years of experience in applying AI and machine learning techniques to practical and comprehensive technology solutions. A strong background in machine learning, deep learning, and natural language processing. Expertise in ML, deep learning, Py Torch, Python, NLP and Transformer architecture. Experience in deploying LLMs, embedding model/sentence transformers in production use cases. Thorough knowledge in basic algorithms, object-oriented and functional design principles, and best-practice patterns Strong expertise in programming (Rust/Python) Experience in fine-tuning a large language model using custom content (documents, data, code). Experience in developing Generative AI applications, Agentic Systems and Retrieval Augmented Generation. Experience working with large-scale datasets, preprocess them, and create appropriate data representations. Solid understanding of statistics, linear algebra, and probability theory. Preferred Qualifications Bachelors/masters degree in computer science, Artificial Intelligence, Data Science, or a related field. Experience in implementing projects involving end to end ML/NLP systems from development to deployment. Experience with transformer-based models (e.g., BERT, GPT, T5, Llama). Experience working in a distributed team. Experience with cloud environments (GCP/AWS). Working knowledge of Rust is a plus. Minimum Qualifications: 4+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience with a Bachelor's degree. OR 6+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience without a Bachelors degree. 2+ years experience with Database Design structures such as Mongo DB, MySQL.

We are seeking a highly skilled Senior Perception Engineer to join our team. The ideal candidate will have extensive experience in developing and implementing perception algorithms for robotic systems, with a focus on sensor fusion, SLAM, and multi-modal sensing. Master's or Ph.D. in Computer Science, Robotics, or a related field 3-8 years of experience in perception engineering for autonomous systems Strong programming skills in C++ and Python Extensive experience with SLAM algorithms, computer vision, and sensor fusion techniques Proficiency in working with LiDAR, camera, radar, and IMU sensors Hands-on experience with ROS2 Familiarity with deep learning frameworks and their application to perception tasks Experience with real-time systems and embedded software development Strong mathematical background in linear algebra, probability theory, and optimization Preferred Qualifications Experience with autonomous vehicle perception systems Knowledge of sensor calibration techniques Experience with multi-object tracking and motion prediction Experience with Autoware. Key Skills C++ Sensor fusion SLAM Computer vision LiDAR processing Radar processing ROS2 Autoware Python Machine learning Roles and Responsibilities Design and develop advanced perception algorithms for autonomous robots using LiDAR, Cameras, Radar, and other sensors Implement and optimize sensor fusion techniques to improve object detection, tracking, and localization Develop and maintain SLAM (Simultaneous Localization and Mapping) systems for various robotic platforms Integrate perception algorithms with Autoware and ROS2 frameworks Collaborate with cross-functional teams to ensure seamless integration of perception systems with other components of the autonomous stack Conduct research on state-of-the-art perception techniques and implement novel solutions to improve system performance Participate in the full development lifecycle, including design, implementation, testing, and deployment of perception software

Hiring Assistant Professors in Mathematics with Ph.D. and 2–7 years’ experience in teaching and research. Specializations include Linear Algebra, Probability, Optimization, Data Science, and Machine Learning.

ROLES & RESPONSIBILITIES Design and implement advanced SLAM and sensor fusion algorithms in C++ using ROS1 / ROS2. Integrate and calibrate sensors like LiDAR, IMU, GPS, and Cameras, to build robust state estimation pipelines. Integrate and develop custom drivers, ROS nodes, and message filters for real-time robotic systems. Use GTSAM, Ceres Solver, or similar tools for graph optimization and sensor fusion. Build scalable and reusable ROS1 / ROS2 packages for perception, localization, and mapping. Test algorithms both in simulation (Gazebo, RViz) and on physical robotic platforms. Collaborate closely with hardware and embedded teams for system-level integration. Maintain high coding standards with unit tests, ROS test coverage, and CI integration. Document code, algorithms, and interfaces to support collaborative development. REQUIRED SKILLS- Strong proficiency in Modern C++ (C++14/17/20) with deep understanding of memory management, STL, multithreading, and templates. Hands-on experience with SLAM (e.g., LIO-SAM, ORB-SLAM) and sensor fusion techniques. Proficiency in ROS (ROS 1 or ROS 2) development and ecosystem. Strong understanding of robot kinematics, SE(3) transformations, rotation/translation matrices, and pose graphs. Experience with Ceres Solver, GTSAM, or other optimization frameworks for non-linear least squares problems. Familiarity with tools like Rviz, Gazebo, tf2, and rosbag. Experience with Git, CMake, and writing well-documented, modular code. Solid mathematical foundation in linear algebra, probability, and optimization. Deep understanding of robotic system design and control architectures. NOTE - 1. If Interested , Kindly Send The UPDATED CV to Mr. Sushil Kr Singh (HR Head) at hr.talent@arc.ventures 2. The job Location is Koramangla (Bangalore)

Job Description B.S.u00A0 Electrical or Computer Engineering required 4+ years of related work experience in healthcare Expert level programming skills in C and C++ for real time environments. Experience developing software in various RTOS environments (e.g. FreeRTOS, VxWorks, Yocto Linux). Experience implementing highly optimized digital signal processing and pattern recognition algorithms. Experience with linear algebra/matrix processing and associated software packages (MATLAB, etc.) Experience estimating and planning software development projects. Experience reading and understanding printed circuit board schematics. Experience using test and measurement equipment, including oscilloscopes, logic analyzers, communication protocol analyzers, and signal generators. Proficiency in Microsoft Office software suite, including Microsoft Visio. Ability to demonstrate strong attention to accuracy and detail. Ability to successfully manage multiple tasks. How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the companyu2019s facilities. Field roles are most effectively done outside of the companyu2019s main facilities, generally at the customersu2019 or suppliersu2019 locations. Indicate if this role is an office/field/onsite role. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. u2022 Learn more about . u2022 Discover . u2022 Learn more about . If youu2019re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion .

About This Role BlackRock Overview: BlackRock is one of the worlds preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary and individual investors around the world BlackRock offers a range of solutions ? from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the worlds capital markets Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iSharesETFs, Aladdin Financial Engineering Group (AFE) AFE is a diverse and global team with a keen interest and expertise in all things related to technology and financial analytics The group is responsible for the research and development of quantitative financial and behavioral models and tools across many different areas single-security pricing, prepayment models, risk, return attribution, liquidity, optimization and portfolio construction, scenario analysis and simulations, etc and covering all asset classes The group is also responsible for the technology platform that delivers those models to our internal partners and external clients, and their integration with Aladdin, AFE conducts leading research on the areas above, delivering state-of-the-art models AFE publishes applied scientific research frequently, and our members present regularly at leading industry conferences AFE engages constantly with the sales team in client visits and meetings, Job Description You can help conduct research to build quantitative financial models and portfolio analytics that help managing most of the money of the worlds largest asset manager You can bring all yourself to the job From the top of the firm down we embrace the values, identities and ideas brought by our employees, We are looking for curious people with a strong background in quantitative research, data science and machine learning, have awesome problem-solving skills, insatiable appetite for learning and innovating, adding to BlackRocks vibrant research culture, If any of this excites you, we are looking to expand our team We currently have quant researcher role with the AFE Investment AI (IAI) Team The securities market is undergoing a massive transformation as the industry is embracing machine learning and, more broadly, AI, to help evolve the investment process Pioneering this journey at BlackRock, the team has better deliver applied AI investment analytics to help both BlackRock and Aladdin clients achieve scale through automation while safeguarding alpha generation The IAI team combines AI / ML methodology and technology skills with deep subject matter expertise in fixed income, equity, and multi-asset markets, and the buyside investment process, We are building next generation liquidity, security similarity and pricing models leveraging our expertise in quantitative research, data science and machine learning The models we build use innovative machine learning approaches, have real practical value and are used by traders and portfolio managers alike Our models use cutting edge econometric/statistical methods and tools The models themselves have real practical value and are used by traders, portfolio managers and risk managers representing different investment styles (fundamental vs quantitative) and across different investment horizons Research is conducted predominantly in Python and Scala, and implemented into production by a separate, dedicated team of developers These models have a huge footprint of usage across the entire Aladdin client base, and so we place special emphasis on scalability and ensuring adherence to BlackRocks rigorous standards of model governance and control, Background And Responsibilities We are looking to hire a quant researcher with around 2 yearsexperience to join AFE Investment AI team focusing on Trading and Liquidity to work closely with other data scientists/researchers to support Risk Mangers, Portfolio Managers and Traders We build cutting edge liquidity analytics using a wide range of ML algos and a broad array of technologies (Python, Scala, Spark/Hadoop, GCP, Azure) This role is a great opportunity to work closely with the Portfolio Managers, Risk Managers and Trading team, spanning areas such as: Perform analysis of large data sets comprising of market data, trading data and derived analytics, Evaluate trading data, including pre-processing, feature engineering, variable selection, dimensionality reduction etc Leverage machine learning to extract insights from data and work with investment managers to put those into action, Design, develop models/ML solutions for Trading & Liquidity, Implement the model and integrate the model into Aladdin analytical system in accordance with BlackRocks model governance policy, Qualifications Tech / B Strong background in Mathematics, Statistics, Probability, Linear Algebra Knowledgeable about data mining, data analytics, data modeling Confident in building models to solve problems including time series forecasting, clustering problems and hands on experience with a range of statistical and machine learning approaches, Ability to work independently and efficiently in a fast-paced and team-oriented environment, Knowledge of fixed income and credit instruments and markets a plus, Previous experience or knowledge in market liquidity is not required but a big plus, For professionals with no prior financial industry experience, this position is a unique opportunity to gain in-depth knowledge of the asset management process in a world-class organization, #EarlyCareers Our Benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about, Our hybrid work model BlackRocks hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week Some business groups may require more time in the office due to their roles and responsibilities We remain focused on increasing the impactful moments that arise when we work together in person aligned with our commitment to performance and innovation As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock, About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being Our clients, and the people they serve, are saving for retirement, paying for their childrens educations, buying homes and starting businesses Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress, This mission would not be possible without our smartest investment the one we make in our employees Its why were dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive, For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: linkedin /company/blackrock BlackRock is proud to be an Equal Opportunity Employer We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law,

Job Title Firmware Engineer Job Description B.S. Electrical or Computer Engineering required 4+ years of related work experience in healthcare Expert level programming skills in C and C++ for real time environments. Experience developing software in various RTOS environments (e.g. FreeRTOS, VxWorks, Yocto Linux). Experience implementing highly optimized digital signal processing and pattern recognition algorithms. Experience with linear algebra/matrix processing and associated software packages (MATLAB, etc.) Experience estimating and planning software development projects. Experience reading and understanding printed circuit board schematics. Experience using test and measurement equipment, including oscilloscopes, logic analyzers, communication protocol analyzers, and signal generators. Proficiency in Microsoft Office software suite, including Microsoft Visio. Ability to demonstrate strong attention to accuracy and detail. Ability to successfully manage multiple tasks. How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company's facilities. Field roles are most effectively done outside of the company's main facilities, generally at the customers or suppliers locations. Indicate if this role is an office/field/onsite role. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. . Learn more about . . Discover . . Learn more about . If you're interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion .

About PhonePe Group: PhonePe is Indias leading digital payments company with 50 crore (500 Million) registered users and 3.7 crore (37 Million) merchants covering over 99% of the postal codes across India. On the back of its leadership in digital payments, PhonePe has expanded into financial services (Insurance, Mutual Funds, Stock Broking, and Lending) as well as adjacent tech-enabled businesses such as Pincode for hyperlocal shopping and Indus App Store which is India's first localized App Store. The PhonePe Group is a portfolio of businesses aligned with the company's vision to offer every Indian an equal opportunity to accelerate their progress by unlocking the flow of money and access to services. Culture At PhonePe, we take extra care to make sure you give your best at work, Everyday! And creating the right environment for you is just one of the things we do. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one. Being enthusiastic about tech is a big part of being at PhonePe. If you like building technology that impacts millions, ideating with some of the best minds in the country and executing on your dreams with purpose and speed, join us! About The Role We are seeking a motivated and skilled Data Scientist with 3 years of experience to join our dynamic team. The ideal candidate will have a strong foundation in machine learning, with a focus on implementing algorithms at scale. Additionally, knowledge of computer vision and natural language processing will be ideal Key Responsibilities: - Develop and implement machine learning models, offline batch models as well as real time online and edge compute models - Analyze complex datasets and extract meaningful insights to drive business decisions - Collaborate with cross-functional teams to identify and solve business problems using data-driven approaches - Communicate findings and recommendations to stakeholders effectively Required Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field - 3+ years of experience in a Data Scientist role - Strong proficiency in Python and SQL - Solid understanding of machine learning algorithms and statistical modeling techniques - Knowledge of Natural Language Processing (NLP) and Computer Vision (CV) concepts and algorithms - Hands-on experience implementing and deploying machine learning algorithms - Experience with data visualization tools and techniques - Strong analytical and problem-solving skills - Excellent communication skills, both written and verbal Preferred Qualifications: - Experience with PySpark and other big data processing frameworks - Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) Technical Skills: - Programming LanguagesPython (required), SQL (required), Java (basic knowledge preferred)- Machine LearningStrong foundation in traditional ML algorithms, and a working knowledge of NLP and Computer Vision- Big DataDeep knowledge of PySpark- Data Storage and RetrievalFamiliarity with databases/mlflow preferred- MathematicsStrong background in statistics, linear algebra, and probability theory- Version ControlGit Soft Skills: - Excellent communication skills to facilitate interactions with stakeholders- Ability to explain complex technical concepts to non-technical audiences- Strong problem-solving and analytical thinking- Self-motivated and able to work independently as well as in a team environment- Curiosity and eagerness to learn new technologies and methodologiesWe're looking for a motivated individual who is passionate about data science and eager to take on challenging tasks. If you thrive in a fast-paced environment and are excited about leveraging cutting-edge technologies in machine learning to solve real-world problems, we encourage you to apply! PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe .

Job TitleEngineer (DWDM Planning Tool Development) LocationBengaluru Work EmploymentFull time DepartmentWireless DomainSoftware Reporting toSenior Manager About Us: Tejas Networks is a global broadband, optical and wireless networking company, with a focus on technology, innovation and R&D. We design and manufacture high-performance wireline and wireless networking products for telecommunications service providers, internet service providers, utilities, defence and government entities in over 75 countries. Tejas has an extensive portfolio of leading-edge telecom products for building end-to-end telecom networks based on the latest technologies and global standards with IPR ownership. We are a part of the Tata Group, with Panatone Finvest Ltd. (a subsidiary of Tata Sons Pvt. Ltd.) being the majority shareholder. Tejas has a rich portfolio of patents and has shipped more than 900,000 systems across the globe with an uptime of 99.999%. Our product portfolio encompasses wireless technologies (4G/5G based on 3GPP and O-RAN standards), fiber broadband (GPON/XGS-PON), carrier-grade optical transmission (DWDM/OTN), packet switching and routing (Ethernet, PTN, IP/MPLS) and Direct-to-Mobile and Satellite-IoT communication platforms. Our unified network management suite simplifies network deployments and service implementation across all our products with advanced capabilities for predictive fault detection and resolution. As an R&D-driven company, we recognize that human intelligence is a core asset that drives the organization’s long-term success. Over 60% of our employees are in R&D, we are reshaping telecom networks, one innovation at a time. Why join Tejas: We are on a journey to connect the world with some of the most innovative products and solutions in the wireless and wireline optical networking domains. Would you like to be part of this journey and do something truly meaningful? Challenge yourself by working in Tejas’ fast-paced, autonomous learning environment and see your output and contributions become a part of live products worldwide. At Tejas, you will have the unique opportunity to work with cutting-edge technologies, alongside some of the industry’s brightest minds. From 5G to DWDM/ OTN, Switching and Routing, we work on technologies and solutions that create a connected society. Our solutions power over 500 networks across 75+ countries worldwide, and we’re constantly pushing boundaries to achieve more. If you thrive on taking ownership, have a passion for learning and enjoy challenging the status quo, we want to hear from you! Who we are: Our team submits contributions to the standards organization like IEEE, ITU-T, ITU-R, 3GPP RAN/SA, etc. and has generated more than 200 patents in various technology areas like TCP, IP/MPLS, MAC/Ethernet, SDH, DWDM, Routing, Scheduling, Optimization, Operation Research, 4G/LTE, 5G/NR, Protection Switching, etc. The team is expected to have a sound knowledge in the following theoriesstochastic processes and communication networking, RF circuit design and VLSI, digital signal processing, and operations research, and have sound programming skills for the purpose of prototyping in at-least one of the languagesC, C++, Python, VB, etc. Many next-generation prototypes developed by Technology domain team evolved to commercial grade products and have won many awards globally. What you work: As a technical member, you will contribute in regression and testing the state-of-the-art optical network planning system. Closely work with other teams and partners to carry out development, regression and user acceptance testing. Focus to continuously improve system performance with quality deliverables. Mandatory skills: Experience in DWDM planning tool development. Experience in Python, with knowledge of Django Framework. Familiarity with Django ORM (Object Relational Mapper). Familiar with various design and architectural patterns. Sound knowledge of Databases – MySQL, Postgres is a must. Hands on Linux operating system. Preference to candidates with exposure to ARM, Intel x86, etc. Architecture Desired skills: Linear Algebra, Probability, or any two Engineering Mathematics subjects, plus mandatory Computer networks. Additionally, if CS/ITData Structures and Algorithms, or any two core subjects. Additionally, if ECEStochastic Processes, Communication systems, or any two core subjects. Should be a team player. Should be curious to lear new things. Preferred Qualifications: E xperience: 1-3 years’ experience from Telecommunication, Opto-electronics or Optical Networking background. Education: Tech/BE/M.Tech/PhD (CSE/ECE/EEE/IS) or any other equivalent degree. Candidate should be good at coding skills in Python Diversity and Inclusion Statement : Tejas Networks is an equal opportunity employer. We celebrate diversity and are committed to creating all inclusive environment for all employees. We welcome applicants of all backgrounds regardless of race color, religion, gender, sexual orientation, age or veteran status. Our goal is to build a workforce that reflects the diverse communities we serve and to ensure every employee feels valued and respected.

About the Role: We are based in Gurgaon and looking for a Senior Computer Vision Engineer to join our team and help our team to improve and create new technologies. You'll work on projects which makes online assessment more secure and cheating proof. If you're a seasoned computer vision expert with a passion for innovation and a track record of delivering impactful solutions, we would be happy to meet you. Role : Senior Computer Vision Engineer Functional Area : AI Educational Qualification: BTech/MS/MTech/PhD in Computer Science/Computer vision/Signal Processing/Deep Learning or equivalent. Should have worked in an academic or professional setting in the field of computer vision/signal processing. Experience: 2-5 years Location : Gurgaon Key Responsibilities: Develop and optimize advanced computer vision algorithms for image and video analysis tasks. Design, implement and train deep learning models for object detection, face processing, activity recognition and other related tasks. Test and refine models and systems based on real-world data and feedback. Evaluate project requirements, plan and manage the roadmap of a project. Present findings and insights in a clear and concise manner to stakeholders. Collaborate and help to integrate and deploy computer vision systems into broader product architecture. Conduct research to stay updated on emerging computer vision technologies and trends. Automate data preprocessing and annotation processes to streamline workflow efficiency. Maintain comprehensive documentation for algorithms, implementations, and evaluations. Mentor junior engineers and provide strategic guidance on project development. Requirements and skills: Proficiency in Python and knowledge of C++, Java and JS is plus. Solid understanding of neural networks, especially convolutional neural networks (CNNs). Knowledge of RCNNs and vision transformers. Proficient in understanding, designing and implementing deep learning models using frameworks such as TensorFlow, PyTorch and Keras. Understanding of fundamental image processing techniques like image filtering, edge detection, image segmentation and image augmentation. Experience in evaluating computer vision models using relevant metrics and performance indicators. Familiarity with GPU and related technologies which is utilized for improved computational efficiency such as CUDA, CUDNN, tensorRT etc. Familiarity with Python libraries such as OpenCV, NumPy, Pandas and scikit-learn etc. Basic knowledge of linear algebra, calculus, and statistics. Strong critical thinking, analytical, and problem-solving skills Self-motivated, quick learner and strong team player with ability to work with minimal supervision.

We're hiring PhD Math Experts for an AI Trainer role! Work on training AI models by solving, reviewing, and improving advanced math content. Strong subject knowledge and written skills required. Apply now to help shape the future of AI in education!

About this role: Wells Fargo is seeking a Lead Quantitative Analytics Specialist. In this role, you will: Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly statistical theory Qualify monitor markets and forecast credit and operational risks Strategize short and long-term objectives, and provide analytical support for a wide array of business initiatives Utilize stochastic, structured securities, spread analysis, with the expertise in the theory and mathematics behind the analysis Review and assess models inclusive of technical, audit, and market perspectives Identify structure and scope of review Enable decision making for product and marketing with broad impact and act as key participant to develop and document analytical models Collaborate and consult with regulators and auditors Present results of analysis and strategies Required Qualifications: 5+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science Desired Qualifications: A Senior Quantitative Analytics Specialist should have a deep academic knowledge, broad based approach to solve business problems. He/she should approach the problem agnostic of analytic technique, tool or process. Ability to think outside the box and provide ensemble solutions should set them apart to be a high performing team member. 4+ years of experience with minimum Masters/ Phd in a quantitative field such as applied math, statistics, engineering, physics, or mathematical finance. Performing mathematical model validation using Python, C++, R, and SQL or other programming languages and mathematical/statistical packages Producing required documentation to substantiate model validation Analyzing processes and work flows to make recommendations for process improvement in various risk management and/or business areas as well as participating in and leading model risk projects. Strong mathematical, statistical, analytical and computational skills Strong communication skills for a variety of audiences (other technical staff, senior management and regulators) both verbally and in writing Capability to multi-task and finish work within strict timelines and provide timely requests for information and follow-up questions Ability to work independently on complex model validations from start to finish Able to demonstrate first-hand knowledge of advanced topics in various mathematical and numerical methods such as Monte Carlo, stochastic calculus, differential equations, linear algebra, applied probability, and statistics; Skill in managing relationships with key model stakeholders Eagerness to contribute collaboratively on projects and discussions Perpetual interest in learning something new, but being comfortable with not knowing the all the answers Attention to detail in both analytics and documentation Aptitude for synthesizing data to 'form a story' and align information to contrast/compare to industry perspective Intellectually curious, who enjoy solving problems Excellent programing skills and use of software packages such as C++, Python, R, SAS and SQL Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment Good interpersonal skills and ability to develop partnerships and collaborate with other business and functional areas.

About The Role #body.unify div.unify-button-container .unify-apply-now:focus, #body.unify div.unify-button-container .unify-apply-now:hover{color:rgb(0,0,0) !important;}#body.unify div.unify-button-container .unify-apply-now:focus, #body.unify div.unify-button-container .unify-apply-now:hover{background:rgba(230,231,232,1.0) !important;} Apply now Technical Lead Job Location (Short): Hyderabad, India Workplace Type: Hybrid Business Unit: Mining Req Id: 1298 .buttontextb0d7f9bdde9da229 a{ border1px solid transparent; } .buttontextb0d7f9bdde9da229 a:focus{ border1px dashed #5B94FF !important; outlinenone !important; } Responsibilities Study the existing source code and documentation to gain a comprehensive understanding of the library. Optimize and enhance the computational geometry algorithms within the library. Collaborate with other developers and teams to integrate updates into the product. Develop and implement new features as the product evolves. Ensure the library’s performance remains optimal and capable of handling complex meshes. Education / Qualifications Bachelor's degree in computer science, Engineering, or equivalent. Strong background in linear algebra and computational geometry Extensive experience with graph theory and data structures Proficiency in C/C++ development Deep knowledge of memory management and multi-threading in C/C++ Familiarity with OpenGL About Hexagon Hexagon is the global leader in digital reality solutions, combining sensor, software and autonomous technologies. We are putting data to work to boost efficiency, productivity, quality and safety across industrial, manufacturing, infrastructure, public sector, and mobility applications. Our technologies are shaping production and people related ecosystems to become increasingly connected and autonomous – ensuring a scalable, sustainable future. Hexagon (Nasdaq StockholmHEXA B) has approximately 24,500 employees in 50 countries and net sales of approximately 5.4bn EUR. Learn more at?hexagon.com?and follow us?@HexagonAB. Hexagon’s R&D Centre in India Hexagon’s R&D Centre in India is the single largest R&D centre for the company globally. More than 2,000 talented engineers and developers create innovation from this centre that powers Hexagon's products and solutions. Hexagon’s R&D Centre delivers innovations and creative solutions for all business lines of Hexagon, including Asset Lifecycle Intelligence, Autonomous Solutions, Geosystems, Manufacturing Intelligence, and Safety, Infrastructure & Geospatial. It also hosts dedicated service teams for the global implementation of Hexagon’s products. R&D India – MAKES THINGS INTELLIGENT Autonomous SolutionsPerception, positioning, vehicle autonomy and site orchestration technologies to enable the full autonomous solution for agriculture, mining, automotive and marine positioning. Everyone is welcome At Hexagon, we believe that diverse and inclusive teams are critical to the success of our people and our business. Everyone is welcome—as an inclusive workplace, we do not discriminate. In fact, we embrace differences and are fully committed to creating equal opportunities, an inclusive environment, and fairness for all. Respect is the cornerstone of how we operate, so speak up and be yourself. You are valued here. .buttontext1c1d8f096aaf95bf a{ border1px solid transparent; } .buttontext1c1d8f096aaf95bf a:focus{ border1px dashed #0097ba !important; outlinenone !important; } #body.unify div.unify-button-container .unify-apply-now:focus, #body.unify div.unify-button-container .unify-apply-now:hover{color:rgb(0,0,0) !important;}#body.unify div.unify-button-container .unify-apply-now:focus, #body.unify div.unify-button-container .unify-apply-now:hover{background:rgba(230,231,232,1.0) !important;} Apply now

Job Area: Information Technology Group, Information Technology Group > IT Programmer Analyst General Summary: Qualcomm"™s Engineering IT EDAAP team is looking for an independent contributor experienced in development and sustaining enterprise level software applications. Experience:7-10 years of experience developing dashboard with reporting tools "“ Tableau (Tableau API), Power BI, OBIEE. SkillsMust: Expert in developing visualizations/dashboards with Tableau Strong knowledge with SQL Fundamentals in object-oriented design, data structures, algorithms and problem solving. Test, debug and performance tuning of dashboards/reports Experience working in an agile development environment. Translate ad hoc report requests into common dashboards and application requirements Knowledge of different types of enterprise systems, their interaction, boundaries within an enterprise. Understanding of complex data models. Experience working with Oracle/MySQl/Postgres WILLINGNESS to multi task and work in a fast paced environment. Must be willing to take ownership and drive tasks to completion. Desirable: Python programming experience. Experience developing dashboards with Power BI. Exposure to Qlikview, OBIEE and ThoughtSpot Experience with semiconductor industry. Experience working with NoSQL Databases (MongoDB) as well as relational DBs (MySQL/Oracle) Education Requirements Bachelor's degree in technical discipline or equivalent experience required. Qualifications 5 or more years of experience in applying AI and machine learning techniques to practical and comprehensive technology solutions. A strong background in machine learning, deep learning, and natural language processing. Expertise in ML, deep learning, Py Torch, Python, NLP and Transformer architecture. Experience in deploying LLMs, embedding model/sentence transformers in production use cases. Thorough knowledge in basic algorithms, object-oriented and functional design principles, and best-practice patterns Strong expertise in programming (Rust/Python) Experience in fine-tuning a large language model using custom content (documents, data, code). Experience in developing Generative AI applications, Agentic Systems and Retrieval Augmented Generation. Experience working with large-scale datasets, preprocess them, and create appropriate data representations. Solid understanding of statistics, linear algebra, and probability theory. Preferred Qualifications Bachelors/master"™s degree in computer science, Artificial Intelligence, Data Science, or a related field. Experience in implementing projects involving end to end ML/NLP systems from development to deployment. Experience with transformer-based models (e.g., BERT, GPT, T5, Llama). Experience working in a distributed team. Experience with cloud environments (GCP/AWS). Working knowledge of Rust is a plus. Minimum Qualifications: 4+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience with a Bachelor's degree. OR 6+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience without a Bachelor"™s degree. 2+ years experience with Database Design structures such as Mongo DB, MySQL.

KEY ACCOUNTABILITIES Collaborate with cross-functional teams (e.g., data scientists, software engineers, product managers) to define ML problems and objectives. Research, design, and implement machine learning algorithms and models (e.g., supervised, unsupervised, deep learning, reinforcement learning). Analyse and preprocess large-scale datasets for training and evaluation. Train, test, and optimize ML models for accuracy, scalability, and performance. Deploy ML models in production using cloud platforms and/or MLOps best practices. Monitor and evaluate model performance over time, ensuring reliability and robustness. Document findings, methodologies, and results to share insights with stakeholders. QUALIFICATIONS, EXPERIENCE AND SKILLS Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (graduation within the last 12 months or upcoming). Proficiency in Python or a similar language, with experience in frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong foundation in linear algebra, probability, statistics, and optimization techniques. Familiarity with machine learning algorithms (e.g., decision trees, SVMs, neural networks) and concepts like feature engineering, overfitting, and regularization. Hands-on experience working with structured and unstructured data using tools like Pandas, SQL, or Spark. Ability to think critically and apply your knowledge to solve complex ML problems. Strong communication and collaboration skills to work effectively in diverse teams. Additional Skills (Good to have) Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools (e.g., MLflow, Kubeflow). Knowledge of distributed computing or big data technologies (e.g., Hadoop, Apache Spark). Previous internships, academic research, or projects showcasing your ML skills. Familiarity with deployment frameworks like Docker and Kubernetes. #LI-AA6

KEY ACCOUNTABILITIES Collaborate with cross-functional teams (e.g., data scientists, software engineers, product managers) to define ML problems and objectives. Research, design, and implement machine learning algorithms and models (e.g., supervised, unsupervised, deep learning, reinforcement learning). Analyse and preprocess large-scale datasets for training and evaluation. Train, test, and optimize ML models for accuracy, scalability, and performance. Deploy ML models in production using cloud platforms and/or MLOps best practices. Monitor and evaluate model performance over time, ensuring reliability and robustness. Document findings, methodologies, and results to share insights with stakeholders. QUALIFICATIONS, EXPERIENCE AND SKILLS Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (graduation within the last 12 months or upcoming). Proficiency in Python or a similar language, with experience in frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong foundation in linear algebra, probability, statistics, and optimization techniques. Familiarity with machine learning algorithms (e.g., decision trees, SVMs, neural networks) and concepts like feature engineering, overfitting, and regularization. Hands-on experience working with structured and unstructured data using tools like Pandas, SQL, or Spark. Ability to think critically and apply your knowledge to solve complex ML problems. Strong communication and collaboration skills to work effectively in diverse teams. Additional Skills (Good to have) Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools (e.g., MLflow, Kubeflow). Knowledge of distributed computing or big data technologies (e.g., Hadoop, Apache Spark). Previous internships, academic research, or projects showcasing your ML skills. Familiarity with deployment frameworks like Docker and Kubernetes. #LI-MP1

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.

Dear Aspirant , Greetings from TCS ! TCS presents excellent opportunity for Quantum Developer Exp: 7 - 20 years Job Location: Bangalore / Pune / Chennai / Hyderabad / Mumbai / Pune / Kolkata / Delhi / Noida / Gurgaon Strong understanding of quantum mechanics and quantum computing principles Proficiency in python & numerical libraries Experience with quantum frameworks/SDKs (like Qiskit, Pennylane etc.) Immense experience with classical algorithms & optimization techniques Hands on experience in modelling & solving optimization problems using various solvers Experience with implementing algorithms on NISQ era devices & quantum annealers Strong foundation in linear algebra (advanced), applied mathematics GOOD TO HAVE: Familiarity with different cloud-based quantum services like AWS Braket Knowledge in adjacent areas like machine learning, HPC & cryptography Tensorflow & pytorch (for quantum machine learning apps) Regards, Sai Lokesh S