23 Computational Mathematics Jobs nearby Mysore

Job Title: Python Developer Location: Remote Contract Type: C2C | Duration: 8 Months (Extendable) Experience Required: 4+ Years Availability: Immediate Joiners Only Job Summary We are looking for an experienced Python Developer with strong expertise in API development and a solid grasp of 2D/3D geometry concepts. The ideal candidate will be detail-oriented, passionate about writing clean, efficient code, and skilled in building scalable backend systems to support complex geometric computations. Key Responsibilities Design, develop, and maintain robust, scalable APIs using Python. Work on 2D and 3D geometric data structures and algorithms. Collaborate with front-end developers, designers, and product teams to deliver high-quality solutions. Optimize code for performance, reliability, and scalability. Write unit and integration tests to maintain high code quality. Participate in code reviews and follow best practices for version control and development standards. Required Skills Strong proficiency in Python. Hands-on experience in RESTful API development (Flask, FastAPI, or Django REST Framework). Solid understanding of 2D/3D geometry or computational geometry. Experience with NumPy, SciPy, Shapely, Open3D, or PyMesh. Proficient in Git or other version control systems. Excellent analytical and problem-solving abilities. Good to Have Experience with 3D visualization tools/libraries (VTK, Blender API, or Three.js bindings). Knowledge of mathematical modeling or simulation. Exposure to cloud platforms (AWS, Azure, or GCP). Familiarity with CI/CD pipelines and DevOps tools. Education Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field.

Role Overview: At EY, you will have the opportunity to develop a career tailored to your unique strengths and aspirations. With global support, an inclusive culture, and cutting-edge technology, you can strive to be the best version of yourself. Your distinct voice and perspective are valued to contribute to EY's continuous improvement. Join the team to create an exceptional experience for yourself and contribute to building a better working world for all. Key Responsibilities: - Develop and implement advanced AI models, encompassing generative and traditional AI, to bolster quantitative trading strategies and investment management. - Utilize machine learning algorithms to enhance BSA/AML models, ensuring robust compliance and risk mitigation. - Collaborate with cross-functional teams to integrate AI and quantitative solutions into business processes, elevating risk management and regulatory compliance. - Provide mentorship and guidance to junior consultants, fostering a culture of continuous learning and knowledge sharing. - Stay abreast of industry trends, particularly within financial services, to address client challenges with innovative solutions. Qualification Required: - Possess a degree in Mathematics, Engineering, Computational Finance, Artificial Intelligence, Machine Learning, or a related field, with a strong quantitative background. - Have a minimum of 2 years of hands-on experience in AI model development, encompassing Gen AI and Traditional AI techniques. - Demonstrate proficiency in quantitative analysis and model development for investment management, including portfolio optimization, asset allocation, risk/return trade-offs, and Fama French model. - Acquire knowledge of BSA/AML regulations and the ability to develop models for detecting, preventing, and reporting financial crimes. - Exhibit strong programming skills in Python, Java, C++, or R, with experience in ML frameworks like TensorFlow, PyTorch, or JAX. - Possess excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders effectively. Additional Details: EY's Financial Services Office (FSO) offers a comprehensive range of advisory services to various financial institutions and capital markets participants. Within the FSO Advisory Practice, the Financial Services Risk Management (FSRM) group delivers solutions to help clients manage risks associated with their capital markets activities effectively. EY's mission is to build a better working world by creating long-term value for clients, people, and society, and fostering trust in the capital markets. The diverse teams at EY, enabled by data and technology, operate in over 150 countries, providing assurance and assisting clients in growth, transformation, and operations.,

As a Full-stack Software Engineer on the Data Engineering team at Goldman Sachs, you will play a crucial role in enhancing the Legend data platform, optimizing data access, and delivery, and improving how the business utilizes data. Here's how you can fulfill your potential: - Design and develop modern data management tools to curate important data sets, models, and processes, while identifying opportunities for process automation and efficiency enhancements. - Contribute to an open-source technology - [GitHub - finos/legend](https://github.com/finos/legend). - Drive the adoption of cloud technology for data processing and warehousing. - Engage with data consumers and producers to design appropriate models that meet the business needs efficiently. **Relevant Technologies**: Java, Python, AWS, React **Basic Qualifications**: - Bachelor or Master's degree in a computational field (Computer Science, Applied Mathematics, Engineering, or a related quantitative discipline). - 2-7+ years of relevant work experience in a team-focused environment. - 2-7+ years of experience in distributed system design. - 2-7+ years of experience using Java, Python, and/or React. - 2-7+ years of experience or interest in functional programming languages. - Strong object-oriented design and programming skills with experience in OO languages like Java. - Strong experience with cloud infrastructure (AWS, Azure, or GCP) and infrastructure as code (Terraform, CloudFormation, or ARM templates). - Proven experience in applying domain-driven design to build complex business applications. - Deep understanding of data multidimensionality, curation, and quality, including traceability, security, performance, and correctness. - In-depth knowledge of relational and columnar SQL databases, including database design. - Expertise in data warehousing concepts such as star schema, entitlement implementations, SQL vs NoSQL modeling, indexing, partitioning, etc. - Experience in REST and/or GraphQL. - Experience in creating Spark jobs for data transformation and aggregation. - Comfort with Agile operating models (practical experience of Scrum / Kanban). - General knowledge of business processes, data flows, and quantitative models. - Excellent communication skills and the ability to collaborate with subject matter experts. - Independent thinker, willing to engage, challenge, or learn. - Commercially focused with a sense of ownership, urgency, and strong analytical and problem-solving skills. - Establish trusted partnerships with key contacts and users across business and engineering teams. **Preferred Qualifications**: - Financial Services industry experience. - Experience with Pure/Legend. - Working knowledge of open-source tools such as AWS Lambda, Prometheus. Goldman Sachs is dedicated to leveraging the expertise and skills of its people to help clients, shareholders, and communities grow. With a commitment to diversity and inclusion, the firm ensures every individual has ample opportunities for professional and personal growth. Learn more about the culture, benefits, and people at [GS.com/careers](https://www.goldmansachs.com/careers).,

In this role at Citi as Vice President - Data Scientist_Fraud Analytics- Hybrid, you will be part of the Citi Analytics & Information Management (AIM) team, where you will be responsible for developing cutting-edge data science solutions to enhance fraud detection and reduce false positives. Your key responsibilities will include: - Developing, validating, and testing fraud detection models through statistical analysis, data validation, and model performance evaluation. - Conducting validation assessments for fraud model validation and implementing methodologies to assess model accuracy, robustness, and effectiveness. - Ensuring compliance with regulatory requirements and industry best practices in fraud detection and model validation. - Working with large and complex data sets to evaluate, recommend, and support the implementation of business strategies. - Identifying and compiling data sets using tools like Hive and SQL to predict, improve, and measure key business outcomes. - Documenting data requirements, data collection, processing, cleaning, and exploratory data analysis utilizing statistical models and data visualization techniques. - Specializing in fraud or risk domain is preferred. You should have: - 10+ years of hands-on analytical experience. - 7+ years of experience in statistical analysis with proficiency in Python (Must), Hive, Spark, and SAS. - Strong quantitative, analytical, and problem-solving skills with knowledge of probability theory, statistics, and mathematical finance. - Proficiency in traditional and advanced ML algorithms, statistical analysis, and model validation techniques. - Expertise in model evaluation techniques and familiarity with regulatory requirements related to risk model validation. - Strong communication, interpersonal, project management, and organizational skills. - Ability to work independently, handle large volumes of transactional data, and deliver projects in a fast-paced environment. - A Masters/Bachelors/PhD degree in Statistics, Economics, Finance, Mathematics, or a related quantitative field. Working at Citi is more than just a job; it's a chance to grow your career, contribute to the community, and make a real impact. If you are ready to shape your career with Citi, apply for this role today. Please note the following details about the job: - Job Family Group: Decision Management - Job Family: Specialized Analytics (Data Science/Computational Statistics) - Time Type: Full time For any other relevant skills or information, please refer to the requirements listed above or contact the recruiter.,

As a hiring partner for many IT organizations,We are hiring for below position as direct full time on the payroll as a permanent employee of the Hiring Organization.Please share your updated word format resume with CTC, Location and Notice period at "info@unimorphtech.com" Role : Machine learning engineer Sr. managerExperience : 8-12+ YrsLocation : Bangalore or Chennai ## Key Skills : Python,Python libraries like NumPy, Pandas, PyTorch, TensorFlow, and Scikit-learnDesign & deploy Machine learning pipelines on cloud platform(Azure),MLOPs,MLOps tools such as MLFlow and Weights & Biases,ML deployments,Machine learning frameworks & GRC.ETL pipeline for data processing on Azure,Snowflake,CI-CD using tools like Git and Jenkins. # Purpose :We are looking for a highly skilled and motivated Machine Learning Engineer to join our team to design, develop, and deploy scalable machine learning solutions. In this role, you will work on building robust ML pipelines, optimizing large-scale data processing, and implementing state-of-the-art MLOps frameworks on cloud platforms like Azure and Snowflake. # HIghlights- Design and deploy end-to-end machine learning pipelines on cloud platforms (Azure, Snowflake).- Build efficient ETL pipelines to support data preparation, model training, and evaluation on Snowflake and Azure.- Scale machine learning infrastructure to handle large datasets- Ensure secure ML deployments with Governance,Risk and Compliance- Experience building scalable ML systems # Roles and Responsibilties : This is a global role working across diverse business areas, brand and geographies, providing business outcomes and enabling transformative impact across the global landscape. Design and deploy end-to-end machine learning pipelines on cloud platforms (Azure, Snowflake) to deliver scalable, production-ready solutions. Build efficient ETL pipelines to support data preparation, model training, and evaluation on modern platforms like Snowflake. Scale machine learning infrastructure to handle large datasets and enable real-time processing for critical applications. Implement MLOps frameworks to automate model deployment, monitoring, and retraining, ensuring seamless integration of ML solutions into business workflows. Monitor and measure model drift (concept, data, and performance drift) to maintain ongoing model effectiveness. Deploy machine learning models as REST APIs using frameworks such as FastAPI, Bento ML, or Torch Serve. Establish robust CI/CD pipelines for machine learning workflows using tools like Git and Jenkins, enabling efficient and repeatable deployments. Ensure secure ML deployments, addressing risks such as adversarial attacks and maintaining model integrity. Build modular and reusable ML packages using object-oriented programming principles, promoting code reusability and efficiency. Develop clean, efficient, and production-ready code by translating complex business logic into software solutions. Continuously explore and evaluate MLOps tools such as MLFlow and Weights & Biases, integrating best practices into the development process. Foster cross-functional collaboration by partnering with product teams, data engineers, and other stakeholders to align ML solutions with business objectives. Lead data labeling and preprocessing tasks to prepare high-quality datasets for training and evaluation. Stay updated on advancements in machine learning, cloud platforms, and secure deployment strategies to drive innovation in ML infrastructure. # Experience : Masters degree in Computer Science, Computational Sciences, Data Science, Machine Learning, Statistics , Mathematics any quantitative field Expertise with object oriented programming (Python, C++) Strong expertise in Python libraries like NumPy, Pandas, PyTorch, TensorFlow, and Scikit-learn Proven experience in designing and deploying ML systems on cloud platforms (AWS, GCP, or Azure). Hands-on experience with MLOps frameworks, model deployment pipelines, and model monitoring tools. Track record of scaling machine learning solutions from prototype to production. Experience building scalable ML systems in fast-paced, collaborative environments. Working knowledge of adversarial machine learning techniques and their mitigation Agile and Waterfall methodologies. Personally invested in continuous improvement and innovation. Motivated, self-directed individual that works well with minimal supervision.

Your Role Overview: You will be a Senior Quant Engineer in the Research (Portfolio Implementation) team at AQR Capital Management. In this role, you will be responsible for designing and implementing proprietary systems and tools that drive the quantitative strategy research and systematic investing that powers AQR. You will collaborate closely with researchers and portfolio analysts to tackle mission-critical challenges and make investment ideas a reality. Key Responsibilities: - Build or extend Portfolio Implementation systems by leveraging research output, performing optimization with constraints, and generating Orders - Develop microservices using cloud computing to enable scalability - Create a high-performance historical simulation/backtesting engine for testing various portfolio constraints - Design bespoke technology solutions tailored to specific asset classes and research needs - Partner with a global team of research engineers to ensure successful product delivery Qualifications Required: - BE/BTech in Computer Science, Computational Finance, Data Science, or related discipline - 7+ years of programming experience with expertise in Python, Java, or C++ - Work experience as a Java programmer with knowledge of Python is highly desirable - Ability to design elegant solutions and translate them into high-quality code - Strong analytical and problem-solving skills - Effective communication skills - Interest in quantitative finance (finance/trading experience not required) - Experience with cloud technologies (AWS/Azure/GCP) is a plus - Demonstrated contributions to open-source software is a plus - Aptitude for mathematics, finance, and econometrics is desired Additional Company Details: AQR Capital Management is a global investment management firm known for its systematic, research-driven approach. The firm focuses on delivering superior, long-term results for its clients by filtering out market noise and developing ideas that stand up to rigorous testing. AQR's commitment to excellence in technology powers its insights and analysis, making it a leader in alternative and traditional strategies since 1998.,

Role Overview: At EY, you have the opportunity to build a unique career with the support of a global scale, inclusive culture, and advanced technology to become the best version of yourself. Your unique voice and perspective are valued to help EY improve. Join EY to create an exceptional experience for yourself and contribute to building a better working world for all. Key Responsibilities: - Demonstrate deep technical capability and industry knowledge of financial products - Be the technical lead and subject matter expert in areas such as: - Model Risk Management/model development/validation knowledge in market risk (VaR, Stressed VaR, Expected Shortfall, etc.) and/or counterparty credit risk (CVA, PFE, etc.) - Working knowledge of statistical and numerical techniques (e.g., Monte-Carlo methods, Finite difference methods) - Knowledge of mathematical concepts like Stochastic Calculus, Differential and Integral calculus (ODE/PDE/SDE), Numerical Methods, Linear algebra, Measure Theory - Pricing derivatives for asset classes such as fixed income, equities, credit, interest rates, FX, and commodities - Programming languages like Python/R/C++ - Advise clients on Financial Services Risk Management issues, focusing on Traded Products Risk and Capital - Participate in Quantitative Risk and Assurance engagements including derivatives pricing, market risk, and counterparty credit risk modeling - Drive business development initiatives, provide sales and pursuit enablement support, and lead expansion of business in various accounts and sectors - Build and maintain long-term relationships, both in the market and within the EY network - Conduct performance reviews, contribute to people initiatives, and maintain an educational program for personal skills development - Develop intellectual capital to support superior outcomes for clients and the firm by providing insights and creating thought leadership articles Qualification Required: - Undergraduate or Masters (Computational Finance, Mathematics, Engineering, Statistics, or Physics preferred) or Ph.D. in quantitative topics with at least 11+ years of relevant industry experience - Professional Qualification (e.g., CQF, CFA, FRM, PRM) preferred - Significant experience in statistical and numerical techniques, Derivative Pricing, Market risk measurement, and CVA methodologies - Modelling background with experience in model development and validation - Excellent communication, problem-solving, and solution development skills - Project management and report writing experience - Ability to drive business development and contribute to EY's growth - Willingness to travel to meet client needs - A self-starter with a can-do attitude, energy, and willingness to try new things Additional Details: At EY, the Financial Services Office (FSO) provides integrated advisory services to financial institutions and other capital markets participants. The Market Risk team within FSO assists clients in implementing strategic changes across risk management, treasury, and other activities related to risk and valuation processes. EY offers a competitive compensation package based on performance, along with a collaborative environment, excellent training and development prospects, and a team of senior colleagues dedicated to managing and varying workloads. EY aims to build a better working world by creating long-term value for clients, people, and society through diverse teams in over 150 countries.,

As a Trainee Engineer with 0 to 3 years of experience in Bangalore, your role will involve the following: - Bachelors degree in Mathematics, Engineering, preferably in Mechanical or a related field. - Strong programming skills in any programming languages such as Python, Java, or C++. - Solid understanding of analytical geometry and computational geometry. - Basic knowledge of CAE tools ANSA is a must. - Strong analytical and problem-solving skills. As a Trainee Engineer, having a background in programming, analytical geometry, and exposure to pre-processors, particularly ANSA, would be advantageous. You will receive comprehensive on-job training on Python, ANSA, a leading CAE pre-processor, and ANSA scripting. Additionally, you will have sessions and exposure to commonly used ANSA APIs. Preferred Skills: - Ability to write programs to solve mathematical or logical problems with ANSA knowledge. Educational Qualification: - BE / ME / B.Tech / M.Tech If you are passionate about programming, analytical geometry, and problem-solving, and are looking for an opportunity to learn and grow in a dynamic environment, this position might be a great fit for you. Please send your resume to priya.naik@xitadel.com to apply for this position.,

As a Senior Engineer at Siemens EDA in the D2S Bangalore team, your role will involve designing and implementing algorithm-centric solutions within the mask data preparation, mask process correction, and lithography systems modeling domain. You will play a significant role in shaping the future of semiconductor manufacturing technology through innovative design, problem-solving, and continuous product improvement. Key Responsibilities: - Design and implement algorithmic solutions in the mask data preparation and lithography systems modeling domains. - Contribute to enhancing Siemens EDA's product lines through design reviews and technical innovations. - Collaborate effectively with multi-functional teams across different geographies and cultures. - Engage with colleagues and collaborators to enhance product quality and drive technical excellence. - Provide technical consultation and work towards improving product functionality. Qualifications Required: - B.E./B.Tech./M.Tech. in Computer Science, Electrical Engineering, Electronics & Communication, Instrumentation & Control, or related fields with a minimum of 8 years of experience. - Strong programming skills in C/C++ with expertise in object-oriented design. - Solid understanding of algorithms and data structures, with a strong theoretical background in algorithm analysis. - Experience with geometric data processing and computational geometry algorithms. - Proficiency in distributed computing environments. - Familiarity with modern software development methodologies such as Agile. Desirable Technical Skills: - Experience in developing EDA applications in the post-layout domain (e.g., Mask Data Preparation, Modeling). - Knowledge of model calibration tools or an understanding of the model calibration process in semiconductor manufacturing. - Solid base in computational mathematics and numerical methods (including non-linear optimization). - Experience in handling large layout/mask data in formats like OASIS, GDSII, MEBES, VSB. - Familiarity with parallel and distributed computing tools (e.g., Sun Grid Engine, LSF). - Experience with configuration management tools such as CVS. - Knowledge of Scrum methodologies and defect tracking tools like JIRA. Siemens EDA values individuals with a positive attitude, strong communication and presentation skills, and a dedicated, motivated approach. The company encourages collaboration, technical consultation, and effective teamwork across diverse teams with varied strengths and cultures. Join a team of over 377,000 minds at Siemens dedicated to building the future and shaping tomorrow. Transform the everyday with Siemens EDA!,

As a Model Validation Analyst in the Markets Risk Team at ANZ, your role will involve providing validation of risk models across Traded Market Risk (TMR) & Non-Traded Market Risk (NTMR), as well as Counterparty Credit Risk (CCR). This includes validation of risk engine or regulatory capital model validations. You will be responsible for quantitative risk support for new product development and providing expertise to stakeholders across Markets Risk, supporting Regulatory projects, and Audit remediation work. **Key Responsibilities:** - Validate risk models and implementations of risk engine or regulatory capital standard models for TMR, NTMR & CCR - Work on meeting Regulatory & Audit commitments - Provide stakeholder assistance to ensure smooth operations of risk measurement and reporting systems within Markets Risk - Contribute to discussions on risk, regulatory, and validation issues - Maintain independence from model ownership and methodology development in all validations - Assist in ensuring the integrity of risk systems and the risk metrics they generate for ANZ's Trading operations - Assist in remediation of Audit issues and ensure all risk requirements are met - Provide proactive risk support to Markets Risk product managers & other Mkts Risk teams **Qualifications Required:** - Experience in Financial markets across a number of asset classes - Strong analytical skills and deep knowledge of financial mathematics - Computational finance skills with programming expertise (C/C++, VBA, Python) - Understanding of markets risk concepts and their mathematical calculation - Good interpersonal & communications skills - Advanced degree in a quantitative field of study,

You will be working at an advanced-technology scale-up focused on Quantum Computing, Artificial Intelligence, and Semiconductor Engineering. The hardware division of the company specializes in designing full-stack enterprise quantum computers, including superconducting processors, cryogenic control electronics, and RF instrumentation. The goal is to unlock breakthroughs across various sectors such as life sciences, finance, transportation, and space. Your primary responsibility as the Quantum Processor Architect will be to design fully fault-tolerant and scalable quantum processors. This involves crafting blueprints and error-correction strategies for next-generation devices, with a focus on developing patentable intellectual property. You will also be tasked with designing, simulating, and benchmarking various quantum error-correction codes on noise-biased hardware. Collaboration with cryo-control and fabrication teams to iterate solutions will be crucial in this role. Key Responsibilities: - Design fully fault-tolerant and scalable quantum processors - Craft blueprints and error-correction strategies for next-generation devices - Develop patentable intellectual property - Design, simulate, and benchmark various quantum error-correction codes on noise-biased hardware - Collaborate with cryo-control and fabrication teams to iterate solutions Qualifications Required: - PhD or MS in Physics, Mathematics, Computer Science, or a related field with a focus on quantum technologies - Minimum of 3 years of experience in designing quantum error-correction codes and fault-tolerant architectures - Proficiency in Python, MATLAB, and quantum software stacks for large-scale simulations and data analysis - Hands-on experience with dynamical decoupling and error-mitigation techniques on experimental platforms - Strong track record of peer-reviewed publications and successful research projects You are expected to build numerical tool-chains using Python/QuTiP/Qiskit to model error propagation, mitigation, and gate-fidelity limits. These tools will provide data-driven design insights to enhance the quantum processor's performance. Additionally, prototyping dynamical-decoupling and error-mitigation schemes will be part of your responsibilities to extend coherence and enable bias-preserving logical gates. It is essential to publish peer-reviewed papers, file patents, and author internal Department of Energy (DoE) reports that influence the company's roadmap and funding decisions. Furthermore, you will play a key role in championing rigorous peer reviews, mentoring junior researchers, and promoting cross-functional knowledge-sharing within the organization. Your skill set should include expertise in numerical tool-chains, qubit-control schemes, artificial intelligence, dynamical decoupling, Python-based quantum platforms, quantum error-correction codes, problem-solving, superconducting-qubit error-correction schemes, computational modeling of quantum circuits, LDPC codes, communication, quantum software stacks, and fault-tolerant architectures. Your contributions will play a critical role in advancing the company's capabilities in the field of quantum computing and semiconductor engineering.,

As a Post-Quantum Cryptography (PQC) Research Engineer at DhiWare Technologies Pvt Ltd in Bengaluru, your primary role will involve conducting research in the field of quantum-safe cryptographic systems. You will be responsible for designing algorithms and developing testing frameworks to verify their efficacy. Collaboration with cross-functional teams, analysis of security requirements, and contribution to advancements in cryptographic research and development will be key aspects of your responsibilities. Additionally, you will work towards innovative solutions to address emerging challenges in post-quantum cryptography. Key Responsibilities: - Conduct research in the field of quantum-safe cryptographic systems - Design algorithms and develop testing frameworks - Collaborate with cross-functional teams - Analyze security requirements - Contribute to advancements in cryptographic research and development - Work towards innovative solutions in post-quantum cryptography Qualifications: - Strong foundation in Computer Science, with knowledge of programming languages and computational principles - Expertise in Research and Development (R&D), with practical experience in conducting Research - Background in Physics and Algorithms, focusing on theoretical and applied aspects relevant to cryptography - Familiarity with cryptographic principles, protocols, and quantum-safe algorithm development is an advantage - Excellent problem-solving and analytical skills, with the ability to work collaboratively in a team - A Masters or Ph.D. degree in Computer Science, Mathematics, Physics, or a related field is preferred,

As a Senior Software Engineer in the field of Genomics/BioMedical domain, your role will involve collaborating with scientists to understand requirements and develop data analysis strategies. You will be responsible for implementing bioinformatics data integration and analysis pipelines using Java and other scripting languages. Additionally, you will develop visualization environments in reporting tools for data exploration and presentation of results. Your key responsibilities will include: - Collaborating with scientists to understand requirements and develop data analysis strategies - Implementing bioinformatics data integration and analysis pipelines using Java and other scripting languages - Developing visualization environments in reporting tools for data exploration - Presenting results and methods both in written and verbal formats - Designing and developing new software or extensive software revisions - Representing the team in cross-organizational development forums and customer requirements gathering sessions - Providing functional and technical support to colleagues and training new software engineers To excel in this role, you must possess the following qualifications and skills: - Excitement about building world-class software solutions leveraging genomic data for the betterment of human life - Experience in genomics, experimental data processing, high-throughput data analysis, and genomic databases - Strong computational skills, particularly in data parsing, cleansing, modeling, analysis, and database design - Solid knowledge of Unix/Linux and experience with cluster computing - Previous bioinformatics and scientific programming experience - Deep understanding of object-oriented design and programming - Expertise in developing multi-tier, scalable, and browser-based applications, preferably cloud-based applications leveraging AWS - Proficiency in Java, with consideration for other languages like C, Python, R, etc. - Experience with scripting languages like Perl and Bash on Linux or Unix - Enthusiasm for testing and testability, along with excellent communication skills - BS/MS in Computer Science, Physics, Mathematics, or equivalent technical disciplines In addition to these qualifications and skills, you should be authentic, transparent, and lead by example, inspiring and collaborating with others. Anticipating needs and problems while creating solutions, asking difficult questions, and taking risks will be part of your daily routine. Your willingness to work with a geographically distributed team and your motivation to self-start and learn quickly will be highly valued. If you are ready to contribute to the advancement of software solutions in the Genomics/BioMedical domain, this role at the company could be the perfect fit for you.,

As a Senior Software Developer for HPC AI Framework at our company, you will be responsible for developing solutions powered by Fujitsu's new processor to address real-world challenges across various industries. You will play a pivotal role in creating innovative advanced solutions and services to drive business outcomes. Key Responsibilities: - Improve and analyze the performance of software applications. - Enable and optimize OSS/ISV applications for Fujitsu's new processor, with a focus on AI-related applications. - Develop new algorithms for ML/DL frameworks and work on software using AI framework engineering. - Design and develop AI workflows, applications, effective APIs, and system architectures. - Optimize and scale AI/ML frameworks on HPC architectures such as PyTorch, TensorFlow, and JAX. - Implement performance tuning strategies using vectorization, threading (OpenMP, TBB), or SIMD/SVE. - Integrate scientific computing math libraries and enable support for new backends. - Benchmark performance and memory usage across AI workloads and contribute to the development of inference pipelines for large-scale models. - Provide feedback and patches to OSS communities like PyTorch, TensorFlow, and ONNX. - Create test cases, test plans, and automated test scripts for unit tests. - Troubleshoot, debug, and fix bugs in software/applications. - Write technical documentation. - Work using agile methods including planning meetings, review meetings, standup meetings, and development. Qualifications Required: - Masters or Ph.D. in Computer Science, Computational Science, Mathematics & Computing, or relevant field. - Proven experience as a software developer with familiarity in common stacks for software applications. - Minimum 2 years of experience in production application HPC, AI frameworks, or systems programming. - Experience with OSS AI Frameworks and performance optimization techniques. - Proficiency in fundamental back-end server-side languages such as Python, C++, C. - Preferred experience in AI framework or accelerators, performance tuning & optimization techniques. - Experience in software development following an agile approach. - Excellent writing, verbal communication, and teamwork skills. Preferred Experience: - Experience in developing and deploying APIs. - Knowledge and experience in Cloud service features like Azure/AWS Functions, VM, Container, DevOps (CI/CD). - Strong skills in evaluating performance and security of software applications to deliver efficient and performant solutions. - Understanding of HPC and computer architecture. - Skills in AI-related technologies. - Contributions to OSS AI or HPC projects. - Familiarity with CPU architecture internals and AI model deployment. - Understanding of numerical computing, linear algebra libraries, and HPC AI optimization.,

Role Overview: At EY, you will have the opportunity to build a unique career with global support, inclusive culture, and cutting-edge technology to help you become the best version of yourself. Your unique voice and perspective will be valued in contributing to EY's continuous improvement. Join EY to create an exceptional experience for yourself and contribute to building a better working world for all. Key Responsibilities: - Demonstrate deep technical capability and industry knowledge of financial products - Act as a technical lead and subject matter expert in areas such as Model Risk Management, model development/validation, statistical and numerical techniques, mathematical concepts, and derivative pricing - Advise clients on Financial Services Risk Management issues, focusing on Traded Products Risk and Capital - Participate in Quantitative Risk and Assurance engagements - Drive business development initiatives and provide sales support - Lead expansion of business in various accounts and sectors - Conduct performance reviews and contribute to talent recruitment and development - Build intellectual capital to support superior outcomes for clients and the firm Qualification Required: - Undergraduate or Masters (Computational Finance, Mathematics, Engineering, Statistics, or Physics preferred) or Ph.D. in quantitative topics with 11+ years of relevant industry experience - Professional Qualification e.g., CQF / CFA / FRM / PRM preferred - Experience in statistical and numerical techniques, Derivative Pricing, Market risk measurement, and CVA methodologies - Strong communication, problem-solving, and project management skills - Willingness to travel as needed - Self-starter with a can-do attitude and eagerness to learn and adapt Company Details: EY is a global organization dedicated to building a better working world by creating long-term value for clients, people, and society. With diverse teams in over 150 countries, EY provides trust through assurance and helps clients grow, transform, and operate in various sectors. EY's teams offer services in assurance, consulting, law, strategy, tax, and transactions to address complex issues and find innovative solutions for today's challenges.,

Role Overview: Digantara is a leading Space Surveillance and Intelligence company dedicated to ensuring orbital safety and sustainability. Leveraging expertise in space-based detection, tracking, identification, and monitoring, Digantara offers comprehensive domain awareness across all regimes. By integrating sophisticated hardware and software capabilities aligned with the key principles of situational awareness, Digantara can monitor all Resident Space Objects (RSOs) in orbit, fostering comprehensive domain awareness. Key Responsibilities: - Design, develop, and test various math-intensive algorithms for SSA applications. - Perform orbit determination and orbit propagation of space objects using tracking data from ground-based and space-based sensors. - Support the design, integration, testing, and operation of the SSA systems and technology chain. - Conduct research and development on emerging technologies such as machine learning, artificial intelligence, and cloud computing for SSA. - Actively participate in writing and publishing technical white papers, journals, proposals, etc. Qualifications Required: - Bachelor's, Master's, or Ph.D. in astrodynamics, aerospace, mathematics, physics, or a relevant discipline. - Significant aptitude with computational astrodynamics/orbital mechanics, perturbation theories, vector algebra, numerical methods, computer science & data science. Additional Company Details: Competitive incentives, galvanizing workspace, blazing team, frequent outings - pretty much everything that you have heard about a startup plus you get to work on space technology. Hustle in a well-funded startup that allows you to take charge of your responsibilities and create your own moonshot. Preferred Qualities: - Demonstrated experience in Python, scientific computing methods, and parallel programming techniques. - Basic understanding of working with Linux-based systems and handling version management using Git. - Familiarity with software packages/tools such as GMAT, STK, FreeFlyer, Orekit, etc. - Basic understanding of probability, statistics, and control theory. - Skilled in creating detailed technical reports, content, manuals, and operational guidelines. General Requirements: - Ability to take direction and work independently. - Interpersonal skills to enable working in a diverse and dynamic team. - Maintain a regular and predictable work schedule. - Writing and delivering technical documents and briefings. - Verbal and written communication skills, as well as organizational skills. - Travel occasionally as necessary. Job Location: Hebbal, Bengaluru,

Role Overview: At EY, you will have the opportunity to shape a career unique to your individuality, supported by a global network, inclusive culture, and cutting-edge technology to empower you to reach your full potential. Your distinctive voice and perspective are vital in contributing to EY's continuous improvement. Join us to craft an exceptional journey for yourself and contribute to creating a better working world for all. Key Responsibilities: - Demonstrate expertise in financial products and technical proficiency in areas such as Model Risk Management, statistical and numerical techniques, mathematical concepts, and derivative pricing across various asset classes. - Provide strategic recommendations on Financial Services Risk Management issues, focusing on Traded Products Risk and Capital. - Engage in Quantitative Risk and Assurance projects related to derivatives pricing, market risk, and counterparty credit risk modeling. - Drive business development initiatives, support sales enablement, and lead the expansion of business in different accounts and sectors. - Manage stakeholders and clients effectively, building and nurturing long-term relationships within the market and the EY network. - Conduct performance reviews, contribute to talent recruitment, and engage in continuous personal skill development. - Contribute to intellectual capital development by creating thought leadership articles and white papers on upcoming market risk topics and trends. Qualifications Required: - Bachelor's or Master's degree in Computational Finance, Mathematics, Engineering, Statistics, or Physics, or Ph.D. in quantitative topics with at least 11+ years of relevant industry experience. - Professional qualifications such as CQF, CFA, FRM, or PRM would be advantageous. - Proficiency in statistical and numerical techniques, Derivative Pricing, Market risk measurement, and CVA methodologies. - Background in modeling, including experience in model development and validation. - Strong communication, problem-solving, and solution development skills. - Project management experience, report writing skills, and a drive for business development. - Willingness to travel as per client requirements. - Self-driven with a positive attitude, energy, and openness to innovation. About EY: EY strives to build a better working world by creating long-term value for clients, people, and society while fostering trust in the capital markets. With a global presence in over 150 countries, EY's diverse teams leverage data and technology to deliver assurance and help clients grow, transform, and operate effectively. Across assurance, consulting, law, strategy, tax, and transactions, EY teams tackle complex issues by asking better questions to find innovative solutions.,

As a Software Engineer at Carelon Global Solutions India, you will be responsible for leveraging your expertise in ML and NLP to work closely with AI/ML engineers and data scientists. Your primary role will involve acquiring and processing data, debugging, creating and enhancing ML models, and developing software infrastructure to support these tasks. You will be working with various types of data, including structured, semi-structured, and textual data, to create enterprise-grade data pipelines feeding state-of-the-art AI/ML models. Collaboration with cross-functional teams and customers, as well as providing intelligence-based solutions to complex problems, will be key aspects of your role. **Key Responsibilities:** - Expert programming skills with hands-on experience in machine learning and data processing - Collaborate closely with AI/ML engineers, data scientists, production teams, and customers - Independently operate with minimal guidance, making informed decisions - Design and implement statistical and machine learning models focusing on regression, classification, and clustering techniques - Develop robust data preprocessing pipelines and handle missing values, outliers, and feature scaling - Specialize in Large Language Model (LLM) development and optimization using frameworks like Hugging Face Transformers - Create and optimize LLM evaluation frameworks using metrics like ROUGE, BLEU, and human-aligned evaluation methods - Apply advanced statistical methods to extract actionable insights from complex datasets - Design specialized natural language processing solutions for text classification, sentiment analysis, and topic modeling - Execute rigorous A/B tests and conduct detailed statistical analysis - Implement comprehensive data visualization strategies using libraries like Matplotlib, Seaborn, and Plotly - Maintain detailed documentation of model architectures, hyperparameter optimization, and validation results - Research and implement LLM optimization techniques to improve model efficiency - Stay updated with recent developments in statistical learning theory, deep learning architectures, and LLM research **Qualifications:** - Bachelors or Masters degree in computer science, Mathematics or Statistics, Computational linguistics, Engineering, or related field (Ph.D. preferred) - 3+ years of hands-on experience leveraging structured and unstructured data for ML, NLP, and computer vision solutions - Proficiency in Python, SQL, Hugging Face, TensorFlow, Keras, and Spark - Experience developing NLP models with transformer architectures - Knowledge of GCP/AWS cloud platforms - Strong expertise in developing or tuning Large Language Models and Generative AI - Ability to work independently and exercise judgment on complex technical and business issues - Excellent written and verbal communication skills **Skills And Competencies:** - Must have: Machine Learning, LLM, NLP, Python, SQL, Hugging Face, TensorFlow & Keras - Good to have: PyTorch, Spark, and cloud experience By joining Carelon Global Solutions, you will have the opportunity to work in an environment that fosters growth, innovation, and well-being. You will be part of a culture that values learning and development, offers competitive benefits, and provides a range of rewards and recognitions. Carelon is an equal opportunity employer that celebrates diversity and empowers its associates to deliver the best results for customers. If you require reasonable accommodation during the interview process, please request the Reasonable Accommodation Request Form.,

Role Overview: You will be part of Tekion's innovative team, positively disrupting the automotive industry with the first and fastest cloud-native automotive platform. Your main responsibility will be to work directly with application/product teams to define, develop, and implement ML solutions for automotive industry problems. Additionally, you will be expected to come up with new solutions, define evaluation metrics, incorporate new data sources, and build production systems supporting decision-making processes. Your role will require strong data-driven business and technical judgment in decision-making processes. Key Responsibilities: - Work closely with application/product teams to define, develop, and implement ML solutions for automotive industry problems. - Generate new solutions for addressing business challenges within the automotive industry. - Define evaluation metrics for offline and online assessment, tracking accuracy and performance metrics. - Incorporate new data sources and implement creative methodologies to enhance model performance. - Assist in building production systems that utilize inputs from multiple models to facilitate decision-making processes. - Demonstrate the ability to understand customer requirements, collaborate with development teams, and develop production-ready learning models effectively. - Bring strong data-driven business and technical judgment to decision-making processes consistently. Qualification Required: - Masters or PhD in Data Science, Mathematics, Operations Research, or related field. - Background in probability and statistics, applied mathematics, or computational science with a history of solving complex problems using a scientific approach. - Experience with ML algorithms and frameworks. - Significant experience in Data Science and Machine Learning with a proven track record of delivering positive business impact. - 10+ years of hands-on experience in analytics, data science, and big data within a business context. - Proficiency in programming in Python or similar languages and maintaining code repositories in git. - Experience in data visualization and presentation to translate complex analysis into actionable insights. Additional Details of the Company: Tekion is revolutionizing the automotive industry by connecting the entire automotive retail ecosystem through a seamless platform. The company employs nearly 3,000 individuals across North America, Asia, and Europe. Tekion's transformative platform utilizes cutting-edge technology, big data, machine learning, and AI to deliver the best automotive retail experiences ever.,

As an Optimization Engineer, you will be responsible for designing and implementing high-performance algorithms and optimization models for complex business challenges. Your main responsibilities will include: - Designing, developing, and maintaining high-efficiency software solutions using C programming. - Building and implementing optimization models (linear, integer, mixed-integer, nonlinear) to solve complex analytical problems. - Collaborating with cross-functional teams to understand business requirements and develop data-driven optimization strategies. - Benchmarking, testing, and enhancing algorithms for improved performance, scalability, and reliability. - Applying Operations Research methodologies such as mathematical programming, heuristics, and metaheuristics. - Developing reusable components and frameworks for optimization problem-solving. - Ensuring clean, maintainable, and well-documented code using best development practices. - Presenting analytical results and optimization insights clearly to technical and non-technical stakeholders. Qualifications Required: - Bachelors or Masters degree in Computer Science, Engineering, Operations Research, Applied Mathematics, or a related field. - Expert-level proficiency in C programming, including data structures, algorithms, and memory management. - Strong understanding of Operations Research techniques such as linear programming, integer programming, and heuristics. - Hands-on experience with optimization solvers or libraries (e.g., CPLEX, Gurobi, COIN-OR). - Proven ability to convert complex business or engineering problems into computational models. - Strong analytical, debugging, and performance-tuning skills. - Excellent communication and documentation abilities.,