16 Programming Python Jobs

Tungsten Automation is a global leader in intelligent automation, workflow, and intelligent document process solutions, offering cutting-edge AI solutions to streamline business processes. Our flagship product, TotalAgility, harnesses advanced AI to transform business process automation and deliver tangible value to our clients worldwide. As an AI Researcher joining our Product Management & Marketing team, you will play a crucial role in shaping the product vision, driving content marketing, and ensuring that our solutions stay ahead in the realm of AI advancements. Your responsibilities will include collaborating with product management, marketing, and R&D teams to refine the AI vision for TotalAgility. You will monitor the evolving AI landscape, identify trends and emerging technologies relevant to workflow automation and intelligent document processing, and develop vision prototypes and demonstrations using cutting-edge AI models and algorithms. Sharing insights with internal stakeholders, you will help inform product strategy and marketing initiatives by translating technical capabilities into compelling narratives and future roadmaps. Additionally, you will create, document, and review user stories, feature overviews, product requirements documents, and enhancement requests in collaboration with product owners and R&D. You will support various processes such as the internal Field Request process, RFP responses, infosec reviews, and customer briefings by providing technical insights and clear explanations of AI capabilities. Your role will also involve participating in customer meetings, analyst briefings, and industry events as a subject matter expert. Furthermore, you will be responsible for creating high-impact marketing assets like explainer videos, technical blogs, demonstrations, and whitepapers to showcase AI-driven features and use cases. Partnering with marketing teams, you will ensure technical accuracy and engaging storytelling in all content. In terms of research, benchmarking, and testing, you will conduct in-depth research and benchmarking of AI technologies, design and execute experiments to validate new AI concepts, and assess competitive positioning. You will monitor country-specific AI compliance laws and regulations, prepare documentation for AI due diligence and compliance audits, and ensure that TotalAgility's AI features meet regulatory and industry standards. To thrive in this role, you should possess prompt engineering skills, experience with RAG/Vector Databases, proficiency in programming languages such as Python, C#, and JavaScript, and familiarity with major cloud platforms like AWS, GCP, or Azure. Experience with machine learning, LLM model training, graph databases, and certifications in AI are desirable. A degree in Computer Science, Artificial Intelligence, Data Science, or related field, along with proven experience in AI research, technical writing, and collaboration skills are essential. At Tungsten Automation Corporation, Inc., we are committed to fostering diversity and are proud to be an Equal Opportunity Employer. Join us in revolutionizing business processes with cutting-edge AI solutions!,

We are looking for a Bioinformatician to assist our research team in the analysis and interpretation of biological and molecular data. The ideal candidate should possess experience in bioinformatics and a solid background in molecular biology. This position is open to freshers with relevant experience. Key Responsibilities - Analyze large-scale biological datasets, such as genomic and proteomic data. - Develop and implement bioinformatics tools and pipelines for molecular data analysis. - Collaborate closely with molecular biologists to interpret results and extract meaningful insights. - Conduct sequence analysis, gene expression profiling, and structural bioinformatics studies. - Create and manage databases for storing and retrieving biological data. - Utilize programming languages like Python, R, or Perl for data analysis. - Ensure data integrity, quality control, and reproducibility of results. - Keep abreast of the latest advancements in bioinformatics and computational biology. Qualifications - Master's degree in Bioinformatics, Computational Biology, Molecular Biology, or a related field. - Freshers with relevant experience in bioinformatics and molecular biology are encouraged to apply. - Proficiency in bioinformatics tools, databases, and algorithms. - Knowledge of next-generation sequencing (NGS) data analysis and genome annotation. - Experience in statistical analysis and machine learning techniques is beneficial. - Strong programming skills in Python, R, or Perl. - Excellent analytical and problem-solving abilities. - Strong written and verbal communication skills. Preferred Qualifications - Experience in clinical genomics, drug discovery, or structural bioinformatics. - Hands-on experience with high-performance computing environments. - Knowledge of database management and data visualization techniques. Skills - Bioinformatics & Computational Biology - Molecular Biology Techniques - Programming (Python, R, Perl) - Genomics & Proteomics Data Analysis - Machine Learning & Statistical Analysis - Database Management & Data Visualization Personal Attributes - Detail-oriented with a data-driven approach. - Ability to work independently and collaboratively in a research environment. - Strong problem-solving and critical-thinking skills. - Eagerness to learn and adapt to new technologies.,

At Roche, you can be yourself and your unique qualities are embraced. The culture at Roche promotes personal expression, open dialogue, and genuine connections. You are valued, accepted, and respected for who you are, enabling you to thrive both personally and professionally. The ultimate goal is to prevent, stop, and cure diseases while ensuring access to healthcare for everyone today and in the future. Join Roche, where every voice matters. The Global Security Monitoring and Incident Response (MIR) team at Roche is dedicated to keeping networks and users safe from evolving threats. As a key member of this team, you will drive the strategic direction and execution of penetration testing initiatives. Your deep understanding of security assessments and vulnerability management landscape will be leveraged to define and prioritize penetration testing activities as a Product Owner. Your expertise will play a crucial role in maintaining the safety of networks, users, proprietary information, patient data, and computer systems and web applications against emerging threats. Responsibilities: - Define and prioritize penetration testing activities and requirements as the Product Owner within an agile framework. - Utilize your penetration testing expertise to evaluate and prioritize security issues identified through testing and bug bounty programs. - Use enterprise vulnerability management tools along with penetration testing insights to identify high-risk systems. - Effectively communicate identified risks and collaborate with system owners and teams to develop and track vulnerability mitigation plans. - Enhance security vulnerability and incident response capabilities based on penetration testing outcomes. - Contribute to security monitoring efforts within a global environment. Minimum Qualifications: - Associates degree in a relevant field or 5+ years of experience in information security with a strong foundation in penetration testing principles and methodologies. - Solid understanding of web application, network, and computer security assessment concepts. - Experience in working within agile methodologies, demonstrating proficiency in product ownership or similar strategic roles. Preferred Qualifications: - Experience in web application, network, and computer security assessments. - Proficiency in attack surface management and cloud security assessments. - Programming experience in languages such as Python, Node.js, and JavaScript. - Ability to analyze, triage, and escalate security vulnerabilities. - Familiarity with various defensive and offensive security tool sets. - Relevant Offensive security certifications like OSCP and eCPPT. - Familiarity with mobile security is a plus. - Experience in a large, global, and complex environment. - Strong communication skills to convey information security-related risks to both technical and non-technical audiences. - Passion for computer and network security with awareness of current penetration testing trends. - Fluent in English; knowledge of other languages is beneficial. In conclusion, Roche is dedicated to a healthier future through innovation and the commitment of over 100,000 employees worldwide. The focus is on advancing science to ensure access to healthcare for all. The impact of Roche's efforts is evident in the millions treated with their medicines and the billions of tests conducted using their Diagnostics products. By encouraging exploration, creativity, and high ambitions, Roche aims to deliver life-changing healthcare solutions globally. Let's work together to build a healthier future. Roche is an Equal Opportunity Employer.,

As a Manager, Technical Business Analysis at McDonalds Corporation in Hyderabad, you will play a crucial role in bridging the gap between business stakeholders and technical teams. Your primary responsibility will involve leading the translation of complex business requirements into technical specifications for data models, ETL processes, and reporting tools. You will work closely with data engineers, analysts, and architects to implement effective data solutions that drive data-driven decision-making. Your role will also include overseeing the maintenance and updating of technical documentation, acting as a liaison between business units and technical teams to ensure alignment between business logic and technical implementation, and leading technical projects to ensure timely delivery. Additionally, you will engage with senior stakeholders to refine requirements and collaborate with cross-functional teams to design and optimize data pipelines for enhanced data accessibility and usability for business users. To excel in this role, you should hold a Bachelor's degree in computer science, Information Technology, or a related field, along with a minimum of 5 years of experience in business analysis or a related technical field. Proficiency in SQL, experience with databases, knowledge of ETL tools, and data warehousing concepts are essential. Exposure to programming languages such as Python for data analysis is a plus. Strong analytical and problem-solving skills, proficiency in technical documentation and specification writing, and experience with software development lifecycle and methodologies are highly valued. Excellent communication skills to effectively interact with technical and non-technical teams, along with an analytical mindset and strong problem-solving abilities, will be key to your success in this role.,

The Risk Analytics, Modeling and Validation role involves the development, enhancement, and validation of methods for measuring and analyzing all types of risks, including market, credit, and operational. In areas related to credit risk, individuals in this role develop, enhance, and validate models for measuring obligor credit risk, or early warning tools that monitor the credit risk of corporate or consumer customers, besides being involved in Loss Given Default studies. They also develop and maintain key risk parameters like default and rating migration data, usage given default data and transition matrices. This role is vital to the company as it provides a scientific and systematic approach to assessing and mitigating risks, thereby ensuring the company's financial stability, protecting its assets, and supporting its overall business strategy. The responsibilities of the role include performing model validations, annual model reviews, ongoing monitoring reviews, and model limitation remediation reviews for specific model types under the supervision of a Validation Lead. The individual is required to provide effective challenge to the model development process, evaluate testing approach and results, assess ongoing performance monitoring of models, contribute to regulatory and internal audit responses, collaborate with other teams within Risk and the Business, assist with preparing reports and meeting materials for senior management, and support the process of designing, developing, delivering, and maintaining best-in-class qualitative model validation process standards. The ideal candidate for this role should have 5-8 years of experience in Quantitative Finance, Risk management, Analytics, Model Development, or Model Validation. They should possess excellent partnership and teamwork skills, the ability to communicate findings clearly and concisely, good analytic and problem-solving abilities, adeptness at analysis and documentation, programming skills in languages like Python, MATLAB, C/C++/C#, VBA or other coding languages, knowledge of financial markets and products, and experience in data analysis, interpretation, and technical writing. Strong technical skills in time series analysis, statistics, and econometrics, along with proficiency in data analysis and interpretation are also important qualifications for this role. Education requirement for this role is a Master's degree. The candidate should also demonstrate strong analytical, communication, diplomacy, influencing, and problem-solving skills, as well as the ability to work effectively in a team and independently. Proficiency in project management, attention to detail, and the ability to make informed judgments based on information are additional important qualifications. The individual should also have the ability to formulate recommendations on policies, procedures, or practices, and identify inconsistencies in data or results to define business issues effectively. If you are a person with a disability and need a reasonable accommodation to use search tools and/or apply for a career opportunity, review Accessibility at Citi. The EEO Policy Statement and Know Your Rights poster are available for review.,

As an Automation Tester, you will play a vital role in our software development process by ensuring the quality and reliability of our applications. Your responsibilities will include designing, developing, and executing automated tests in collaboration with developers and team members to enhance software quality. Your focus will be on creating robust automated scripts to minimize errors before the software is deployed to end-users. We are seeking a detail-oriented individual who excels in a collaborative environment. Joining our team as an Automation Tester will contribute to delivering high-quality software solutions that exceed user expectations. Responsibilities - Develop and maintain efficient automated test scripts for software applications. - Collaborate with developers to understand functionality requirements and design test cases. - Identify, record, document, and track bugs thoroughly in testing software. - Ensure test coverage is adequate and comprehensive by working with teams. - Implement and execute regression, integration, and performance tests. - Analyze automation test results and prepare detailed reports. - Continuously improve testing processes based on current methodologies. - Participate in the continuous testing cycle to facilitate seamless deployments. - Assist in configuring and setting up test environments for testing prerequisites. - Provide insights into quality assurance and help define project timelines. - Identify bottlenecks in the test process and propose solutions for improvement. - Stay updated with the latest industry trends and technologies in automation testing. Requirements - Bachelor's degree in Computer Science or a related field. - Proven experience in automation testing or a similar software testing role. - Strong knowledge of software QA methodologies, tools, and processes. - Proficiency in at least one programming language like Python or Java. - Experience with testing frameworks such as Selenium or JUnit is essential. - Excellent problem-solving skills and keen attention to detail. - Strong communication skills and ability to collaborate effectively. This is a mid-level, full-time position based in Maharashtra, India. For more information, visit our company website at [https://www.talentmate.com](https://www.talentmate.com). Our company operates in the Recruitment & Staffing sector, offering professionals a platform to connect with potential employers and job opportunities.,

We are looking for highly motivated and innovative Research Scientists to join our team in Bengaluru, focusing on advancing the state-of-the-art in multilingual, multicultural, and multimodal large language models (LLMs). You will engage in cutting-edge research on Gemini, specifically in the multilingual, multicultural, and multimodal domain (speech, vision, and text), with a direct impact on billions of users through Google products. This role presents a unique opportunity to contribute to foundational research in multilingual and multimodal LLMs, with a special emphasis on the unique challenges in the Asia-Pacific (APAC) region. You will collaborate with a world-class team at Google DeepMind worldwide. If you are passionate about shaping the future of human-computer interaction through multilingual and multimodal LLMs and are eager to make a significant impact on users in the APAC region and beyond, we encourage you to apply. Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we are a team of scientists, engineers, machine learning experts, and more, working together to advance the state of the art in artificial intelligence. We utilize our technologies for widespread public benefit and scientific discovery, collaborating with others on critical challenges while ensuring safety and ethics are our highest priorities. This position is based in the Languages group at Google DeepMind India, which works on all aspects of LLM development, including pretraining, posttraining, evaluations, etc. The group has made impactful contributions to enhance Gemini's multilingual performance and various Google products such as Gemini App, Assistant, Search, etc. Additionally, foundational contributions have been made to Google Translate's largest expansion of 110 languages representing over 600 million speakers. Key responsibilities as a Research Scientist at Google DeepMind include developing and evaluating multilingual, multicultural, and multimodal LLMs, collaborating with a world-class team, contributing to real-world impact, and participating in the research community by sharing insights and engaging in external academic workshops and conferences. We are seeking a passionate and talented researcher with a strong foundation and proven ability to conduct impactful research in AI. You should embrace change, thrive under ambiguity, have a collaborative mindset, and be excited to work as part of a team to tackle ambitious research challenges. You should be eager to see your research contribute to real-world applications and driven by a desire to create positive change through AI. A Ph.D. (or equivalent research experience) in Computer Science, Artificial Intelligence, or a related field, a strong publication record in top-tier AI conferences or journals, solid understanding of deep learning, natural language processing, computer vision, and/or speech processing, experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch, and excellent communication and collaboration skills are required. Experience with multilingual, multicultural, and/or multimodal learning in LLMs, pretraining, post-training techniques, prompt engineering, few-shot learning, and evaluations, familiarity with large-scale model training and deployment, and strong programming skills in Python or similar languages would be advantageous.,

As an Optimization Specialist, you will be responsible for building and scaling mathematical models and process optimization. Your role will involve designing and implementing optimization models such as LP, MIP, and MILP for real-world scheduling, routing, and planning scenarios. Additionally, you will be expected to construct simulation models to evaluate performance under uncertainty, collaborate with cross-functional teams to refine problem definitions, and translate them into quantitative models. You will work closely with data scientists, software engineers, and business analysts to drive predictive optimization workflows using AI/ML algorithms for forecasting, clustering, and classification. Conducting what-if analyses and sensitivity testing to support decision-making will be a crucial part of your responsibilities. Furthermore, you will support research and pilot initiatives involving Quantum-Inspired Optimization (QUBO, hybrid models) and present findings and model performance to stakeholders through clear and concise visualizations and documentation. To excel in this role, you must possess a strong knowledge of Linear Programming (LP), Mixed Integer Programming (MIP/MILP), Constraint Programming, and have experience formulating and solving large-scale combinatorial problems. Hands-on experience with Optimization libraries like Pyomo, PuLP, and solvers such as CPLEX, Gurobi, GLPK, or CBC will be beneficial. Proficiency in programming languages like Python, R, or MATLAB is essential, along with simulation expertise in tools like SimPy, AnyLogic, Arena, or equivalent for discrete-event or agent-based simulation. Your educational background should include a PhD in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related field. Additionally, applied machine learning knowledge including forecasting models, clustering, and model evaluation metrics (e.g., MAPE, RMSE) will be advantageous. Strong communication and documentation skills are necessary to effectively present models and insights to non-technical audiences.,

As a valuable member of our team, your role will involve determining and developing user requirements for systems in production to ensure maximum usability. By utilizing your skills in usability, data analysis, machine learning, statistical analysis, communication skills, big data technologies (such as Hadoop and Spark), programming languages (such as Python and R), data visualization, and SQL, you will contribute to the success of our projects. Success in this position will mean that you have effectively gathered and analyzed data to provide valuable insights, improving the usability and functionality of our systems. Your ability to apply statistical analysis and machine learning techniques will play a crucial role in driving decision-making processes within the organization. This role is essential in ensuring that our systems meet the needs and expectations of our users, ultimately contributing to the overall success of our organization. Your expertise in data analysis and programming will be instrumental in driving innovation and efficiency in our projects. If you possess excellent verbal and written communication skills, along with a keen eye for detail and a passion for data-driven solutions, we encourage you to apply for this exciting opportunity. Join us in making a meaningful impact through your contributions to our team.,

You are a highly skilled and motivated Lead Data Scientist / Machine Learning Engineer sought to join a team pivotal in the development of a cutting-edge reporting platform. This platform is designed to measure and optimize online marketing campaigns effectively. Your role will involve focusing on data engineering, ML model lifecycle, and cloud-native technologies. You will be responsible for designing, building, and maintaining scalable ELT pipelines, ensuring high data quality, integrity, and governance. Additionally, you will develop and validate predictive and prescriptive ML models to enhance marketing campaign measurement and optimization. Experimenting with different algorithms and leveraging various models will be crucial in driving insights and recommendations. Furthermore, you will deploy and monitor ML models in production and implement CI/CD pipelines for seamless updates and retraining. You will work closely with data analysts, marketing teams, and software engineers to align ML and data solutions with business objectives. Translating complex model insights into actionable business recommendations and presenting findings to stakeholders will also be part of your responsibilities. Qualifications & Skills: Educational Qualifications: - Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, or related field. - Certifications in Google Cloud (Professional Data Engineer, ML Engineer) is a plus. Must-Have Skills: - Experience: 5-10 years with the mentioned skillset & relevant hands-on experience. - Data Engineering: Experience with ETL/ELT pipelines, data ingestion, transformation, and orchestration (Airflow, Dataflow, Composer). - ML Model Development: Strong grasp of statistical modeling, supervised/unsupervised learning, time-series forecasting, and NLP. - Programming: Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL for large-scale data processing. - Cloud & Infrastructure: Expertise in GCP (BigQuery, Vertex AI, Dataflow, Pub/Sub, Cloud Storage) or equivalent cloud platforms. - MLOps & Deployment: Hands-on experience with CI/CD pipelines, model monitoring, and version control (MLflow, Kubeflow, Vertex AI, or similar tools). - Data Warehousing & Real-time Processing: Strong knowledge of modern data platforms for batch and streaming data processing. Nice-to-Have Skills: - Experience with Graph ML, reinforcement learning, or causal inference modeling. - Working knowledge of BI tools (Looker, Tableau, Power BI) for integrating ML insights into dashboards. - Familiarity with marketing analytics, attribution modeling, and A/B testing methodologies. - Experience with distributed computing frameworks (Spark, Dask, Ray). Location: - Bengaluru Brand: - Merkle Time Type: - Full time Contract Type: - Permanent,

As a Decision Scientist - Senior at FedEx, you will work with cross-functional and cross-regional teams to analyze data, monitor and forecast trends, create strategies, provide requirements to data scientists and technology teams, and communicate with global stakeholders to ensure the best possible customer experience. Joining the Customer Experience Analytics team as a skilled and passionate GenAI Prompt Engineer, you will focus on designing inputs for AI tools that generate optimal outputs and enhance customer experience through data-driven insights and innovative product development. Your main responsibilities will include designing and developing prompts for various applications, collaborating with cross-functional teams to understand user needs, analyzing and iterating on prompts based on performance metrics and user feedback, conducting experiments to test new prompting techniques, staying updated on advancements in natural language processing (NLP) and AI, documenting and communicating work clearly, providing actionable insights to business and leadership, enhancing virtual assistant interactions with customers, improving turnaround time on report development, and contributing to FedEx's digital adoption strategy. To qualify for this role, you should have a Bachelor's degree in computer science, linguistics, writing, or a related field, proficiency in programming languages like Python and experience with relevant libraries and frameworks, at least 2 years of experience in prompt engineering or a related role in the AI and Chatbots domain, strong analytical skills, experience with large datasets and data visualization tools, excellent communication and collaboration skills, ability to thrive in a fast-paced environment, and a minimum of 4+ years of relevant experience. FedEx values diversity, equity, and inclusion in the workforce, and is committed to providing growth opportunities for all individuals. As an equal opportunity/affirmative action employer, FedEx ensures fair treatment and a supportive work environment. The company's People-Service-Profit philosophy underscores the importance of its employees, who deliver exceptional service to customers worldwide. FedEx's culture, built on values and behaviors, has been integral to its success and growth since its inception in the early 1970s. Through a focus on innovation, quality service, and employee well-being, FedEx continues to thrive in the global marketplace.,

As a Data Engineer at CLOUDSUFI, a Google Cloud Premier Partner, you will be responsible for designing, developing, and deploying graph database solutions using Neo4j for economic data analysis and modeling. Your expertise in graph database architecture, data pipeline development, and production system deployment will play a crucial role in this position. Your key responsibilities will include designing and implementing Neo4j graph database schemas for complex economic datasets, developing efficient graph data models, creating and optimizing Cypher queries, building graph-based data pipelines for real-time and batch processing, architecting scalable data ingestion frameworks, developing ETL/ELT processes, implementing data validation and monitoring systems, and building APIs and services for graph data access and manipulation. In addition, you will be involved in deploying and maintaining Neo4j clusters in production environments, implementing backup and disaster recovery solutions, monitoring database performance, optimizing queries, managing capacity planning, and establishing CI/CD pipelines for graph database deployments. You will also collaborate with economists and analysts to translate business requirements into graph solutions. To be successful in this role, you should have 5-10 years of experience, with a background in BTech / BE / MCA / MSc Computer Science. You should have expertise in Neo4j database development, graph modeling, Cypher Query Language, programming languages such as Python, Java, or Scala, data pipeline tools like Apache Kafka and Apache Spark, and cloud platforms like AWS, GCP, or Azure with containerization. Experience with graph database administration, performance tuning, distributed systems, database clustering, data warehousing concepts, and dimensional modeling will be beneficial. Knowledge of financial datasets, market data, economic indicators, data governance, and compliance in financial services is also desired. Preferred qualifications include Neo4j Certification, a Master's degree in Computer Science, Economics, or a related field, 5+ years of industry experience in financial services or economic research, and additional skills in machine learning on graphs, network analysis, and time-series analysis. You will work in a technical environment that includes Neo4j Enterprise Edition with APOC procedures, Apache Kafka, Apache Spark, Docker, Kubernetes, Git, Jenkins/GitLab CI, and monitoring tools like Prometheus, Grafana, and ELK stack. Your application should include a portfolio demonstrating Neo4j graph database projects, examples of production graph systems you've built, and experience with economic or financial data modeling.,

As an Operations Research and Computational Scientist at Pranatree LLC, you will be part of a dynamic team based in Bangalore, with additional opportunities in Pune and Gurgaon. Your primary responsibility will be to develop and implement optimization models and computational solutions to address complex business challenges, thereby playing a crucial role in data-driven decision-making processes within the company. Your key responsibilities will include designing and executing advanced operations research models to optimize various business processes, as well as creating and refining algorithms to efficiently solve large-scale computational challenges. Collaborating with cross-functional teams, you will identify problem areas and provide comprehensive, data-driven solutions. Moreover, you will develop simulation models to test proposed solutions and prepare detailed technical reports and presentations for internal and external stakeholders. To excel in this role, you must hold a Ph.D. in Operations Research, Applied Mathematics, Computer Science, or a related field. Additionally, you should possess advanced knowledge in mathematical modeling, optimization algorithms, and computational methods. Proficiency in programming languages like Python and C is mandatory, along with experience in optimization tools such as Gurobi or CPLEX. Familiarity with machine learning and data analysis frameworks will be advantageous. Your problem-solving abilities, strong analytical skills, and excellent communication skills will be key assets in this role. You will also need to demonstrate strong team collaboration skills and contribute effectively to a multi-disciplinary team environment. Your performance will be evaluated based on your ability to develop efficient computational models aligned with company goals, deliver high-quality solutions within project timelines, and engage effectively with stakeholders. At Pranatree LLC, you will have access to flexible work options, professional development opportunities, comprehensive health insurance, and a commitment to maintaining a healthy work-life balance. This role presents various challenges and opportunities to tackle complex optimization problems, drive impactful projects, and contribute to a culture of innovation and continuous learning within the team.,

The Risk Analytics, Modeling and Validation role involves the development, enhancement, and validation of methods for measuring and analyzing all types of risks, including market, credit, and operational. You will be responsible for developing, enhancing, and validating models for measuring obligor credit risk, early warning tools for monitoring credit risk of corporate or consumer customers, and conducting Loss Given Default studies. Additionally, you will develop and maintain key risk parameters such as default and rating migration data, usage given default data, and transition matrices. Your role is vital to the company as it provides a scientific and systematic approach to assessing and mitigating risks, ensuring the company's financial stability, protecting its assets, and supporting its overall business strategy. As a Model Validator, your responsibilities will include performing model validations, annual model reviews, ongoing monitoring reviews, and model limitation remediation reviews for one or more model/product types under the supervision of a Validation Lead. You will provide effective challenge to the model development process, evaluate testing approaches and results, assess ongoing performance monitoring of models, and contribute to regulatory and internal audit related responses. Collaboration with other teams within Risk and the Business will be essential to facilitate compliance with policies, procedures, and guidance. You are expected to be an enthusiastic and early adopter of change, demonstrating curiosity in seeking new ways to overcome challenges and actively applying learning from failures. You will be responsible for challenging yourself and others to communicate alternative views, acting as a change catalyst by identifying where new ideas could benefit the organization, and proactively seeking to understand and act in alignment with organizational decisions. Prioritizing highest-priority work aligned to business goals, streamlining work processes, and taking personal accountability for managing potential risks are also key aspects of this role. The ideal candidate for this role will have 5-8 years of experience in Quantitative Finance, Risk management, Analytics, Model Development, or Model Validation. Strong partnership and teamwork skills, along with the ability to formulate findings clearly and concisely, are essential. Good analytical, creative thinking, and problem-solving abilities are required, as well as proficiency in programming languages like Python, MATLAB, C/C++/C#, VBA, or other coding languages as needed. Knowledge of financial markets and products, qualitative or quantitative model risk management experience, and extensive experience in data analysis and interpretation are preferred qualifications. A Master's degree in a relevant field is required for this position. Strong technical skills in time series analysis, statistics, and econometrics, along with excellent communication, diplomacy, and problem-solving skills, are necessary. The ability to work effectively in a team and independently, manage multiple tasks and deadlines, and identify inconsistencies in data or results to define business issues are also crucial for success in this role. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, please review Accessibility at Citi. View Citis EEO Policy Statement and the Know Your Rights poster for more information.,

The Risk Analytics, Modeling and Validation role involves the development, enhancement, and validation of methods for measuring and analyzing all types of risks, including market, credit, and operational. In areas related to credit risk, individuals in this role develop, enhance, and validate models for measuring obligor credit risk, or early warning tools that monitor the credit risk of corporate or consumer customers, besides being involved in Loss Given Default studies. They also develop and maintain key risk parameters like default and rating migration data, usage given default data and transition matrices. This role is vital to the company as it provides a scientific and systematic approach to assessing and mitigating risks, thereby ensuring the company's financial stability, protecting its assets, and supporting its overall business strategy. The responsibilities of a Model Validator include performing model validations, annual model reviews, ongoing monitoring reviews (on Low and Medium Model Risk Rating (MRR) models) and model limitation remediation reviews for one or more model / product types under the supervision of a Validation Lead (VL). The role also involves providing effective challenge to the model development process, evaluating testing approach and results for individual models, assessing ongoing performance monitoring of the models, contributing to regulatory and internal audit related responses, collaborating with other teams within Risk and the Business, assisting with preparing reports and meeting materials, and supporting the process of designing, developing, delivering, and maintaining best-in-class qualitative model validation process standards. The ideal candidate for this role should have 5-8 years of experience in Quantitative Finance, Risk management, Analytics, Model Development or Model Validation. They should possess excellent partnership and teamwork skills, ability to formulate findings clearly and concisely in written form, good verbal communication skills, good analytic and creative thinking abilities, adept at analysis and documentation of results, ability to multi-task and work well under pressure, and deliver results under tight deadlines. Proficiency in programming languages like Python, MATLAB, C/C++/C#, VBA or other coding languages is required, along with knowledge of financial markets and products. Qualitative or quantitative model risk management experience is a plus, along with strong technical skills in time series analysis, statistics, and econometrics. Education requirement for this role is a Master's degree. Key skills required include Analytical Thinking, Business Acumen, Credible Challenge, Data Analysis, Governance, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, and Statistics. If you are a person with a disability and need a reasonable accommodation to use the search tools and/or apply for a career opportunity, please review Accessibility at Citi. View Citis EEO Policy Statement and the Know Your Rights poster for more information.,

The vision at Micron Technology is to transform how the world uses information to enrich life for all. As a world leader in innovating memory and storage solutions, Micron accelerates the transformation of information into intelligence, inspiring the world to learn, communicate, and advance faster than ever. Micron Technology is currently seeking a Yield Analysis (YA) Lead (JR54484) in India. The ideal candidate will be passionate about innovating in data analytics and possess a curious mindset, always seeking to understand "what, how, and why." In this role, you will be responsible for providing analysis results, key feedback, as well as automation and analytics solutions for yield improvement activities. Collaboration with Technology Development yield analysis groups in Japan and the US is essential for success in this role. Key responsibilities for the Yield Analysis Lead position include: - Leading a team of engineers to review and analyze experimental data to identify device performance shifts - Collaborating with Yield Analysis teams in the US and Japan to develop new tools for data analysis and implement machine learning techniques to enhance analysis efficiency and accuracy - Working with the TD YA team to develop new techniques and find innovative ways to use existing analysis tools for identifying process issues - Building a culture of continuous improvement and creating effective best-known methodologies sharing forums - Mentoring engineers to develop skills and capabilities in project management - Conducting performance management by setting objectives and tracking leading indicators - Ensuring efficient allocation of resources for optimal team performance Successful candidates for this position will possess: - Excellent technical, communication, and presentation skills - Experience in leading multi-functional teams to successfully resolve complex problems - Proficient data analysis and statistical techniques skills - Knowledge in device physics, CMOS operation, and memory cell operation - Ability to lead by example in demonstrating Micron values and leadership competencies - Track record of leading successful projects while mentoring and developing other engineers - Programming skills, including Python or R, and SQL. Java or Jmp scripting knowledge is a plus - Ability to thrive in a dynamic, fast-paced work environment - Good understanding of semiconductor processing Experience: - Minimum experience required is a Senior Engineer or Engineer Supervisor with at least 3 years of experience in the semiconductor industry Education: - Master's or Bachelor's degree with 5 years of industry-related experience in Electrical Engineering, Chemical Engineering, Materials Science Engineering, Physics, or related field Micron Technology, Inc. is dedicated to delivering innovative memory and storage solutions that transform how information is used to enrich life for all. With a strong focus on customers, technology leadership, and operational excellence, Micron offers a range of high-performance DRAM, NAND, and NOR memory and storage products through its Micron and Crucial brands. The daily innovations created by Micron's team drive the data economy, enabling advancements in artificial intelligence and 5G applications, which open up opportunities from the data center to the intelligent edge and across the client and mobile user experience. For more information about Micron Technology, Inc., please visit micron.com/careers. For assistance with the application process or to request reasonable accommodations, please contact hrsupport_in@micron.com. Micron strictly prohibits the use of child labor and complies with all applicable laws, rules, regulations, and international labor standards.,