Hello visionary! We empower our people to stay resilient and relevant in a constantly evolving world. We"™re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you"™d make a phenomenal addition to our vibrant international team. Siemens Global Business Services (GBS) is a Siemens Service Company that provides innovative digital solutions and customer focused business services. With more than 20 years of experience, Siemens GBS taps into its understanding of how organizations and businesses work to seamlessly integrate, digitalize and optimize business processes with a portfolio that covers end-to-end business needs. Global Business Services is an international cross-function unit with three elementsRegions (customer-facing organizations), Business Lines (responsible for product portfolio and development) and Global Operations with 10 delivery centers (responsible for the delivery of services). GBS India hosts the delivery center under the global operations and the region function for Asia and Australia. It provides Accounting and Finance Services, Human Resource Services, Supply Chain Management Services, Call Center Services, and several regional expertise-based services to Siemens and Non-Siemens Companies worldwide. You"™ll make a difference by: You will work closely with the Quality Manager in implementing and driving the Quality Management System for the organization. Coordinating with the business and supporting audits for multiple systems standards. Support in administration of quality, process and business improvements and systematically inspect and examine quality system gaps for the business lines. Work with business to identify improvement areas and solutions. You will support and guide the business in efficient process / operations management techniques and quality tools as required (Problem solving, Risk analysis, FMEA, RCA, etc.) Conducting data analysis & preparing dashboards, interpreting patterns and trends in data sets for all OPE related topics. You will be part of internal auditors/quality coordinators group to support Quality Management requirements, and support business with bridging the gap in requirements of ISO and internal standards. Your success is grounded in: Experience in Quality Management Systems and Business Continuity Management System audits. Experienced in RCA and CAPA for issue management and audit findings. Experienced in coordinating and supporting implementation of multiple process improvement projects. Experience in analyzing, modeling, and interpreting large data sets for diagnostic and predictive analysis. Experience in implementing End to End process improvement projects. Exposure to working in International projects and comfortable with international cultural diversity. Excellent communication, interpersonal, coaching/mentoring and collaboration/influencing skills. Able to read/interpret electrical circuit diagrams. Proven Understanding of Microsoft Office. ISO 9001 2015 QMS trained or certified. LSSBB (Lean Six Sigma Black Belt) Certified or Trained. Trained in Power BI, Minitab, R, Tableau, Python, SQL and other data analytics tools preferred. Knowledge of Tools for Project Management, Metrics, Dashboards. Knowledge of ISO 14001, ISO 45001 and ISO 27001 would be a plus. Join us and be yourself! We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us. This role is based in Bangalore. But you"™ll also get to visit other locations in India and globe, so you"™ll need to go where this journey takes you. In return, you"™ll get the chance to work with teams impacting entire cities, countries and the shape of things to come. We"™re Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries.

Siemens Healthineers is a global leader in providing medical solutions that significantly enhance patient care and overall healthcare outcomes. We are actively seeking an exceptional and driven Lead Software Developer to join our dynamic team. As a Lead Software Developer, you will play a pivotal role in shaping the architecture of our platform and integrated software solutions. You're a passionate Lead Software Developer with a proven track record in software development who wants to have the opportunity to contribute to groundbreaking projects that directly impact patient care and drive advancements in the medical field. In this role, you are responsible to Collaborate with cross-functional teams to design, develop, and optimize an existing imaging system, based on syngo framework. Leverage your extensive experience in software development within an agile environment to deliver high-quality, scalable solutions. Demonstrate mastery in software development principles, with expertise in developing and maintain robust and scalable systems. Apply a profound understanding of object-oriented programming (OOP), SOLID design principles, and Clean Code practices. Implement coding best practices, perform unit and integration testing ensuring system reliability and performance. Identify and fix bugs or errors in the code, troubleshooting and resolving issues as they arise. Create and maintain technical documentation, including code comments, user manuals, and system documentation. Participate actively in continuous integration and continuous deployment processes. Embrace an open feedback culture, driving continuous improvement within the team. To be successful in this role, your profile includes: Graduation or Post Graduation in Computer Science / Information Technology / Medical or Life Sciences. 8+ years of experience in software development. Experience in R&D organizations and agile setups like SAFe/SCRUM is preferred. Knowledge of frameworks for medical products like syngo is highly preferred. Excellent understanding of architecture principles, object-oriented programming (OOP), SOLID design principles, and Clean Code practices Deep software development experience in C++ and multithreaded programming aspects Expertise in MS Visual Studio, Azure DevOps, source control systems like ClearCase or GIT, requirement management systems (e.g., Caliber, Requisite Pro) and test automation frameworks Knowledge of software development life cycle and software engineering processes of medical products Experience with testing frameworks and tools for writing and executing test cases. Understanding of CI/CD processes and tools to automate software delivery. Strong analytical and problem-solving skills to understand and address software development challenges. Sound knowledge of tools and methods to diagnose SW behavior. Demonstrated ability working with multi-cultural teams and various internal and external stakeholders globally. Excellent verbal and written communication skills, business fluency in English. Able to multi-task, work under pressure and manage multiple project activities and responsibilities effectively. Should be self-motivated and assertive.

A snapshot of the day As a member of an international development team working on software development for automation, your tasks would include developing the SE Industrial Process and Module Control Suite basis and application software framework (EAD business) based on the TIA or PCS7 family, as well as designing HMI process screens for SCADA system like IA Ignition. You would work within an agile / Scrum process environment to ensure progress is made, problems are addressed, and the project is successfully completed. Effective communication with the international team is a crucial aspect of your role, and your goal is to contribute to the development of high-quality software that meets the needs of the SE industry. How you"™ll make an impact Development of software for PCS 7/TIA/PCS Neo for EAD business and application functions Collaborate with cross-functional teams to ensure projects are delivered on time and within budget. Utilize Figma to create and maintain design documentation and user interfaces. Designing HMI process screens based on the SCADA system (WinCC, Ignition) Develop and maintain technical documentation for automation systems. Work independent on backlog items. Provide training and support to end-users of automation systems. Troubleshoot and resolve issues related to automation systems Setting up Lab Environment for testing, development and helping the agile teams for clarifications, PoCs, and innovation and help Development, Engineering and commissioning teams Software and/or Hardware engineering using SIEMENS engineering tools like COMOS, SIMIT We don"™t need superheroes, just super minds. Master"™s/bachelor"™s degree in electronic engineering, Computer Science, or related field Experience of 8+ years in Industrial automation systems in the areas of R&D product Development, Testing, technical consulting With your communication and consulting skills, you act as a technical contact person and convince our customers of our technical solutions Expertise in DCS, Drives, Power Electronics and PMS (power management systems), Safety Systems Extensive understanding of ISO/IEC standards for Safety, IT/OT security and Technical Documentation Knowledge on project-specific preparation of offers and develop technological concepts and functional specifications for complex automation solutions Extensive knowledge of SCL/CFC and IEC 61131 programming languages, S88 standards, S95 Standards Understanding of Python, HTML, CSS and JavaScript Understanding of web development frameworks Experience with Figma Strong communication skills in English (both written and verbal) Experience working in international development teams About the Team Become a part of our mission for sustainabilityclean energy for generations to come. We are a global team of diverse colleagues who share a passion for renewable energy and have a culture of trust and empowerment to make our own ideas a reality. We focus on personal and professional development to grow internally within our organization. Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected. With more than 96,000 dedicated employees, we not only generate electricity for over 16% of the global community, but we"™re also using our technology to help protect people and the environment. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Siemens Healthineers is a global leader in providing medical solutions that significantly enhance patient care and overall healthcare outcomes. We are actively seeking an exceptional and driven Software Tester to join our dynamic team. As a Software Tester, you will play a pivotal role in ensuring the quality of our platform and integrated software solutions. You're a passionate Software Tester with a proven track record in software testing in the medical domain who wants to have the opportunity to contribute to groundbreaking projects that directly impact patient care and drive advancements in the medical field. In this role, you are responsible to Strong collaboration with testers at sites in Slovakia and Germany in cross functional, agile development teams. Support execution of manual and automated tests to identify defects and ensure software quality. Push the compliance to the quality management system in the test team to ensure future audit prove releases of medical products. Contribute to the design and implementation of test automation frameworks and tools. Conduct performance, scalability, and security testing as required. Identify and report software defects in a detailed and concise manner. Stay up-to-date with trends and best practices in software testing. Pronounced "Quality first" orientation. To be successful in this role, your profile includes Graduation or Post Graduation in Computer Science / Information Technology / Medical or Life Sciences. 4+ years of experience in software testing and quality assurance in the medical domain. Strong knowledge of testing methodologies, architectures, and best practices. Proficiency in test automation tools and frameworks. Knowledge of frameworks for medical products like Syngo is highly preferred. Experience in R&D organizations and agile setups like SAFe/SCRUM is preferred. Knowledge of software development life cycle and software engineering processes of medical products Software development experience in C# is highly welcome. Expertise in MS Visual Studio, Azure DevOps, source control systems like TFS, requirement management systems (e.g. TFS) and test automation frameworks (e.g. MF QC) Demonstrated ability working with multi-cultural teams and various internal (R&D, legal, procurement, export control and customs) and external stakeholders globally, ideally also Germany. Excellent verbal and written communication skills, business fluency in English. Proven coordination & influencing skills, and ability to lead without authority. Should have a bias towards action. Able to multi-task, work under pressure and manage multiple project activities and responsibilities effectively. Should be self-motivated and assertive.

At Siemens Energy, we can. Our technology is key, but our people make the difference. Brilliant minds innovate. They connect, create, and keep us on track towards changing the world"™s energy systems. Their spirit fuels our mission. Our culture is defined by caring, agile, respectful, and accountable individuals. We value excellence of any kind. Sounds like you? Looking for challenging role? If you really want to make a difference - make it with us Can we energize society and fight climate change at the same time? At Siemens Energy, we can. Our technology is key, but our people make the difference. Brilliant minds innovate. They connect, create, and keep us on track towards changing the world"™s energy systems. Their spirit fuels our mission. Our culture is defined by caring, agile, respectful, and accountable individuals. We value excellence of any kind. Sounds like you? We make real what matters. This is your role The position involves working on design and development of mechanical components. Modelling in Creo and creating drawings as per organization"™s guidelines & standards Integrate the whole design in AGILE PLM system as per the organizational regulations Create BOMs of assemblies in AGILE system Coordinate & collaborate with other departments of organization during the process of developing mechanical components. Coordinate with vendors for development of components. Support project teams in arranging for tests on products. We don"™t need superheroes, just super minds. Working experience of about 2 - 5 years in R&D departments of large Electrical / HV switchgear manufacturing organizations is preferred. Bachelor"™s degree in mechanical engineering is a must. Diversity candidate preferred. Technical Skills: Sound Knowledge of Creo / AGILE PLM software is essential Should be able to create 3D models of components & assemblies of complex shapes independently. Should be able to create & manage large assemblies in Creo. Creation of Drawings in Creo and integrating with AGILE system. Sound knowledge of GD&T is essential Working knowledge mechanical design principles with standard components. Make Independent calculations (rigidity, strength, diameters, durability) to dimension parts and components Should have basic knowledge of manufacturing processes, Material & Quality inspection tools Initiate & take part in development & Type tests, Evaluation of type test results Key Skills: MS office / Creo / Agile / ANSYS / other FEA tools Should be good learner Proactive mindset and approach to serve colleagues, internal and external customers Time management and Prioritization Skills We"™ve got quite a lot to offer. How about you? This role is based in Aurangabad, where you"™ll get the chance to work with teams that work on design & developing new products.

Position Summary: An AI Engineer designs, develops, and deploys artificial intelligence and machine learning models to solve complex problems and enhance business processes. They work on building intelligent systems, integrating AI into applications, and optimizing models for performance and scalability. How You"™ll Make an Impact (responsibilities of role) Develop and deploy AI/ML models for tasks like prediction, classification, and optimization. Design and implement data pipelines for training and testing AI models. Fine-tune pre-trained models (e.g., GPT, BERT) and build custom algorithms. Integrate AI solutions into applications using APIs and frameworks. Monitor and optimize model performance, scalability, and accuracy. Collaborate with data scientists, software engineers, and business teams. What You Bring (required qualifications and skills) EducationBachelor"™s/Master"™s in Computer Science, AI, Data Science, or related fields. CertificationsAI/ML certifications (e.g., TensorFlow Developer, AWS Machine Learning). Experience3+ years in AI/ML development and deployment Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn). Strong programming skills (Python, R, Java, or C++). Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of cloud platforms (AWS, Azure, Google Cloud) and MLOps tools. Familiarity with NLP, computer vision, or reinforcement learning. Excellent communication skills, with the ability to convey complex concepts to non-technical stakeholders. The ability to work collaboratively in a dynamic team environment across the globe.

Role & responsibilities Academic Support & Teaching (20%) Deliver and facilitate sessions in data science independently. Support student learning through mentoring, discussions, and practical guidance. Student Engagement & Success (40%) Facilitate onboarding and continuous engagement of learners. Evaluate student progress and ensure achievement of learning outcomes. Assist in student placements and success tracking. Curriculum Development & Events (20%) Collaborate with CAO to develop new content and update curriculum through research and market analysis. Assist in organizing industry interactions, hackathons, and academic events. Operational & Administrative Support (20%) Manage Learning Management System (LMS) and update institutional website and social media. Coordinate with departments (Marketing, IT, Operations) for academic planning and execution. Generate reports for senior management and provide logistical support during events. Preferred candidate profile Education & Knowledge: Masters or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related field. Skills & Competencies: Expertise in data science tools and programming languages such as Python, R, and SQL. Hands-on experience with libraries/frameworks like TensorFlow, PyTorch, or scikit-learn. Strong facilitation, teaching, and communication skills. Knowledge of LMS platforms and digital learning environments. Ability to manage multiple stakeholders and projects efficiently. Event planning and execution skills.

Role : Principal Data Scientist / LLM Specialist Responsibilities : 1. Strategic Leadership :a. Define and drive the overall data science strategy and roadmap for the organization, aligning it with business objectives and technical capabilities.b. Oversee the design, development, and implementation of data science solutions.c. Foster a culture of innovation and continuous improvement within the data science team. 2. Data Strategy :a. Develop and deploy advanced data science models and algorithms, including LLMs, to solve complex business problems. Identify, acquire, and curate high-quality datasets relevant ML tasks.b. Design and implement data preprocessing, cleaning, and augmentation techniques.c. Leverage LLMs to extract deeper insights from data, including unstructured text and natural language data. 3. Data-Driven ML Development :a. Collaborate with LLM experts to integrate LLMs into data science pipelines and applications. b. Optimize LLM performance for specific tasks and domains.c. Apply advanced data mining and machine learning techniques to extract valuable insights.d. Evaluate ML performance using rigorous data-driven metrics. 4. ML Data Visualization and Analysis :a. Develop data visualizations and analysis techniques to understand ML Al behavior and performance.b. Identify trends, patterns, and anomalies in data. Explore new applications of LLMs in data science, such as LLM-powered recommendation systems, predictive analytics, and anomaly detection.c. Communicate data-driven insights to stakeholders effectively. Minimum Required Skills :- 11+ years of experience preferred. - Advanced degree in computer science, data science, or a related field.- Deep understanding of LLM architectures, algorithms, and techniques.- Strong experience in Python, SQL. - Should be extremely comfortable with Numpy, Pandas, Matplotlib and Scikit learn python libraries- Strong understanding of machine learning concepts and algorithms. Should know deep learning techniques such as clustering, decision trees, random forest, etc. - Knowledge on text classification, sentiment analysis, named entity recognition, machine translation, text summarization and question-answering is must.- Experience with LLM frameworks (Hugging Face Transformers, TensorFlow, PyTorch)- Experience with data labeling and annotation tools. - Certifications in cloud platforms or ML technologies can be a plus.- Proficient knowledge of cloud platforms (AWS, GCP, Azure).- Strong problem-solving and analytical skills.- Ability to work in team-oriented, collaborative environment. Data Scientist- Statistician- Data Engineer- Python- R- Supervised & Unsupervised learning- Machine Learning Algorithms- Deep Learning- Hugging Face- Natural Language Processing (NLP)- Computer Vision- TensorFlow- PyTorch- Scikit-learn- Transformers- LLM Frameworks- LLM Models- GPT -3, 4o- BERT- Llama

Role : Principal Data Scientist / LLM Specialist Responsibilities : 1. Strategic Leadership :a. Define and drive the overall data science strategy and roadmap for the organization, aligning it with business objectives and technical capabilities.b. Oversee the design, development, and implementation of data science solutions.c. Foster a culture of innovation and continuous improvement within the data science team. 2. Data Strategy :a. Develop and deploy advanced data science models and algorithms, including LLMs, to solve complex business problems. Identify, acquire, and curate high-quality datasets relevant ML tasks.b. Design and implement data preprocessing, cleaning, and augmentation techniques.c. Leverage LLMs to extract deeper insights from data, including unstructured text and natural language data. 3. Data-Driven ML Development :a. Collaborate with LLM experts to integrate LLMs into data science pipelines and applications. b. Optimize LLM performance for specific tasks and domains.c. Apply advanced data mining and machine learning techniques to extract valuable insights.d. Evaluate ML performance using rigorous data-driven metrics. 4. ML Data Visualization and Analysis :a. Develop data visualizations and analysis techniques to understand ML Al behavior and performance.b. Identify trends, patterns, and anomalies in data. Explore new applications of LLMs in data science, such as LLM-powered recommendation systems, predictive analytics, and anomaly detection.c. Communicate data-driven insights to stakeholders effectively. Minimum Required Skills :- 11+ years of experience preferred. - Advanced degree in computer science, data science, or a related field.- Deep understanding of LLM architectures, algorithms, and techniques.- Strong experience in Python, SQL. - Should be extremely comfortable with Numpy, Pandas, Matplotlib and Scikit learn python libraries- Strong understanding of machine learning concepts and algorithms. Should know deep learning techniques such as clustering, decision trees, random forest, etc. - Knowledge on text classification, sentiment analysis, named entity recognition, machine translation, text summarization and question-answering is must. - Experience with LLM frameworks (Hugging Face Transformers, TensorFlow, PyTorch)- Experience with data labeling and annotation tools.- Certifications in cloud platforms or ML technologies can be a plus.- Proficient knowledge of cloud platforms (AWS, GCP, Azure). - Strong problem-solving and analytical skills.- Ability to work in team-oriented, collaborative environment. Data Scientist- Statistician- Data Engineer- Python- R- Supervised & Unsupervised learning- Machine Learning Algorithms- Deep Learning- Hugging Face- Natural Language Processing (NLP)- Computer Vision- TensorFlow- PyTorch- Scikit-learn- Transformers- LLM Frameworks- LLM Models- GPT -3, 4o- BERT- Llama

SAP R/3 Data Archiving & Information Lifecycle Management tools, Document Archiving and Printlist Archiving SAP Legacy decommissioning using Dart, SAP ILM software & Open Text. Configure Retention policies, Audit policies based on legal requirements across countries with ILM system. Configure ILM technical configuration, Retention warehouse, extraction methods etc. Should have been involved in at least 2 end to end SAP Archival implementation and worked as a Consultant on SAP Archiving activities. Understand Business processes and Map or identify the archive objects required. Experience in Retention policy management Expert in Creating archive files and snapshots Experience/Knowledge in data destruction Database growth Analysis, Planning the Archiving strategy, Techno-functional knowledge of the data dependent tables for different modules in SAP. Implementation of Print List Archiving, implementation of Document Archiving, Implementation of Archiving object. Scheduling of archiving jobs and monitoring job logs. Prepare archiving statistics. Monitor System performance and implement correction notes as applicable Proficiency in SAP ILM configuration, ArchiveLink, ADK files, and ILM-certified storage systems. Understanding of SAP Basis and HANA database concepts. Familiarity with integration tools and technologies (e.g., OpenText, Content Server). Preferred Certifications: SAP Certified Technology Specialist - SAP ILM SAP Certified Application Associate - Data Archiving and ILM Key Deliverables: Successful implementation of ILM solutions tailored to business needs. Reduced system downtime and storage costs. Compliance with legal and regulatory requirements for data management.

Basic Section No. Of Openings 1 External Title Cluster Manager - MF Employment Type Permanent Employment Category Field Closing Date 13 Jun 2025 Organisational Entity Equitas Small Finance Bank Business Unit Assets Division/Function (SBU) Inclusive Banking - MF Department Micro Finance Sub-Department Business Generic Role Cluster Manager External Title (Job Role) Cluster Manager - MF Division Inclusive Banking - MF Zone West State Maharashtra Region Pune Area Kolhapur Cluster Datta Nagar PT Location Maharashtra Branch Code 9064 Branch Name Datta Nagar Skills Skill Sales Highest Education Bachelor of Arts Working Language Marathi About The Role anage the Branch in terms of achieving defined member target for the branch , Branch operations and administration. 2.Build a high Quality Loan portfolio 3.Track and Ensure Repayments of the Loan disbursed 4. Maintain Manage Acquit ion of micro finance member and collection of the branch 5.Enable sales team to high performance and be a team player 6.To Build and Nurture team & enable them to achieve high performance as per the branch capacity & budget. 7. Manage Administrative smooth functioning of the branch 8. Conversion of Micro finance eligible member to enroll recurring deposit of the bank 9.Lead generation for existing micro finance members who require MICRO LAP or MICRO Housing 10. Ensure consistent delivery of Equitas products and services and prompt repayment in an efficient and cost effective mann

Data Science Consultants (DSCs) design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. Responsibilities: Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevantinformation Collaborating with clients and cross functional teams to develop & deploy the data science solutions effectively & communicate the analysis findings Contribute to the evaluation of emerging datasets and technologies that may contribute toour analytical platform Evaluating emerging datasets and technologies that may contribute to our analytical platform Owning the development of select assets/accelerators for efficient scaling of capability Contributing to the thought leadership of the firm by helping in researching the evolving topics and publishing them Qualifications: Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytic and quantitative coursework is required; Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.); Knowledge of programming (e.g. Java/Python/R); Exposure to tools/platforms (e.g. Hadoop eco system and database systems); Excellent oral and written communication skills; Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity. ZS is a global consulting firm; fluency in English is required, additional fluency in at least one European or Asian language is desirable. ZS offers a competitive compensation package with salary and bonus incentives, plus an attractive benefits package.

Responsibilities : 1. Strategic Leadership : a. Define and drive the overall data science strategy and roadmap for the organization, aligning it with business objectives and technical capabilities. b. Oversee the design, development, and implementation of data science solutions. c. Foster a culture of innovation and continuous improvement within the data science team. 2. Data Strategy : a. Develop and deploy advanced data science models and algorithms, including LLMs, to solve complex business problems. Identify, acquire, and curate high-quality datasets relevant ML tasks. b. Design and implement data preprocessing, cleaning, and augmentation techniques. c. Leverage LLMs to extract deeper insights from data, including unstructured text and natural language data. 3. Data-Driven ML Development : a. Collaborate with LLM experts to integrate LLMs into data science pipelines and applications. b. Optimize LLM performance for specific tasks and domains. c. Apply advanced data mining and machine learning techniques to extract valuable insights. d. Evaluate ML performance using rigorous data-driven metrics. 4. ML Data Visualization and Analysis : a. Develop data visualizations and analysis techniques to understand ML Al behavior and performance. b. Identify trends, patterns, and anomalies in data. Explore new applications of LLMs in data science, such as LLM-powered recommendation systems, predictive analytics, and anomaly detection. c. Communicate data-driven insights to stakeholders effectively. Minimum Required Skills : - 11+ years of experience preferred. - Advanced degree in computer science, data science, or a related field. - Deep understanding of LLM architectures, algorithms, and techniques. - Strong experience in Python, SQL. - Should be extremely comfortable with Numpy, Pandas, Matplotlib and Scikit learn python libraries - Strong understanding of machine learning concepts and algorithms. Should know deep learning techniques such as clustering, decision trees, random forest, etc. - Knowledge on text classification, sentiment analysis, named entity recognition, machine translation, text summarization and question-answering is must. - Experience with LLM frameworks (Hugging Face Transformers, TensorFlow, PyTorch) - Experience with data labeling and annotation tools. - Certifications in cloud platforms or ML technologies can be a plus. - Proficient knowledge of cloud platforms (AWS, GCP, Azure). - Strong problem-solving and analytical skills. - Ability to work in team-oriented, collaborative environment. Keywords : - Data Scientist - Statistician - Data Engineer - Python - R - Supervised & Unsupervised learning - Machine Learning Algorithms - Deep Learning - Hugging Face - Natural Language Processing (NLP) - Computer Vision - TensorFlow - PyTorch - Scikit-learn - Transformers - LLM Frameworks - LLM Models - GPT -3, 4o - BERT - Llama

Role : Principal Data Scientist / LLM Specialist Responsibilities : 1. Strategic Leadership : a. Define and drive the overall data science strategy and roadmap for the organization, aligning it with business objectives and technical capabilities. b. Oversee the design, development, and implementation of data science solutions. c. Foster a culture of innovation and continuous improvement within the data science team. 2. Data Strategy : a. Develop and deploy advanced data science models and algorithms, including LLMs, to solve complex business problems. Identify, acquire, and curate high-quality datasets relevant ML tasks. b. Design and implement data preprocessing, cleaning, and augmentation techniques. c. Leverage LLMs to extract deeper insights from data, including unstructured text and natural language data. 3. Data-Driven ML Development : a. Collaborate with LLM experts to integrate LLMs into data science pipelines and applications. b. Optimize LLM performance for specific tasks and domains. c. Apply advanced data mining and machine learning techniques to extract valuable insights. d. Evaluate ML performance using rigorous data-driven metrics. 4. ML Data Visualization and Analysis : a. Develop data visualizations and analysis techniques to understand ML Al behavior and performance. b. Identify trends, patterns, and anomalies in data. Explore new applications of LLMs in data science, such as LLM-powered recommendation systems, predictive analytics, and anomaly detection. c. Communicate data-driven insights to stakeholders effectively. Minimum Required Skills : - 11+ years of experience preferred. - Advanced degree in computer science, data science, or a related field. - Deep understanding of LLM architectures, algorithms, and techniques. - Strong experience in Python, SQL. - Should be extremely comfortable with Numpy, Pandas, Matplotlib and Scikit learn python libraries - Strong understanding of machine learning concepts and algorithms. Should know deep learning techniques such as clustering, decision trees, random forest, etc. - Knowledge on text classification, sentiment analysis, named entity recognition, machine translation, text summarization and question-answering is must. - Experience with LLM frameworks (Hugging Face Transformers, TensorFlow, PyTorch) - Experience with data labeling and annotation tools. - Certifications in cloud platforms or ML technologies can be a plus. - Proficient knowledge of cloud platforms (AWS, GCP, Azure). - Strong problem-solving and analytical skills. - Ability to work in team-oriented, collaborative environment. Keywords : - Data Scientist - Statistician - Data Engineer - Python - R - Supervised & Unsupervised learning - Machine Learning Algorithms - Deep Learning - Hugging Face - Natural Language Processing (NLP) - Computer Vision - TensorFlow - PyTorch - Scikit-learn - Transformers - LLM Frameworks - LLM Models - GPT -3, 4o - BERT - Llama

About The Role We are looking for a skilled Modeling Analytics Specialist to join our dynamic team. In this role, you will be responsible for leveraging advanced statistical and machine learning models to analyze complex data sets. Your insights and recommendations will drive strategic decision-making and optimize business processes. The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Roles and responsibilities: Develop and implement predictive models, segmentation analysis, and statistical analyses to extract insights from large datasets. Apply machine learning algorithms to solve business problems and improve operational efficiency. Collaborate with cross-functional teams to identify business requirements and translate them into analytical solutions. Utilize tools such as [list specific tools, e.g., Python, R] for data manipulation, modeling, and visualization. Create and automate reports and dashboards to present findings and actionable recommendations to stakeholders. Conduct deep dives into data to identify trends, patterns, and anomalies that can inform strategic initiatives. Ensure data accuracy and integrity by validating data sources and implementing quality assurance measures. Stay updated on industry trends and best practices in modeling, analytics, and data science. Technical and Functional Skills: Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field (preferred) with 7+ years of proven experience in statistical modeling, machine learning, and data analysis. Proficiency in programming languages such as [specific tools you use, e.g., Python, R]. Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights and findings. Strong analytical and problem-solving skills with the ability to interpret complex data sets. Excellent communication and collaboration skills to work effectively with diverse teams. About the Team eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.

About The Role We are looking for a skilled Modeling Analytics Specialist to join our dynamic team. In this role, you will be responsible for leveraging advanced statistical and machine learning models to analyze complex data sets. Your insights and recommendations will drive strategic decision-making and optimize business processes. The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Roles and responsibilities: Develop and implement predictive models, segmentation analysis, and statistical analyses to extract insights from large datasets. Apply machine learning algorithms to solve business problems and improve operational efficiency. Collaborate with cross-functional teams to identify business requirements and translate them into analytical solutions. Utilize tools such as [list specific tools, e.g., Python, R] for data manipulation, modeling, and visualization. Create and automate reports and dashboards to present findings and actionable recommendations to stakeholders. Conduct deep dives into data to identify trends, patterns, and anomalies that can inform strategic initiatives. Ensure data accuracy and integrity by validating data sources and implementing quality assurance measures. Stay updated on industry trends and best practices in modeling, analytics, and data science. Technical and Functional Skills: Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field (preferred) with 7+ years of proven experience in statistical modeling, machine learning, and data analysis. Proficiency in programming languages such as [specific tools you use, e.g., Python, R]. Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights and findings. Strong analytical and problem-solving skills with the ability to interpret complex data sets. Excellent communication and collaboration skills to work effectively with diverse teams. About the Team eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.

About The Role We are looking for a skilled Modeling Analytics Specialist to join our dynamic team. In this role, you will be responsible for leveraging advanced statistical and machine learning models to analyze complex data sets. Your insights and recommendations will drive strategic decision-making and optimize business processes. The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Roles and responsibilities: Develop and implement predictive models, segmentation analysis, and statistical analyses to extract insights from large datasets. Apply machine learning algorithms to solve business problems and improve operational efficiency. Collaborate with cross-functional teams to identify business requirements and translate them into analytical solutions. Utilize tools such as [list specific tools, e.g., Python, R] for data manipulation, modeling, and visualization. Create and automate reports and dashboards to present findings and actionable recommendations to stakeholders. Conduct deep dives into data to identify trends, patterns, and anomalies that can inform strategic initiatives. Ensure data accuracy and integrity by validating data sources and implementing quality assurance measures. Stay updated on industry trends and best practices in modeling, analytics, and data science. Technical and Functional Skills: Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field (preferred) with 7+ years of proven experience in statistical modeling, machine learning, and data analysis. Proficiency in programming languages such as [specific tools you use, e.g., Python, R]. Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights and findings. Strong analytical and problem-solving skills with the ability to interpret complex data sets. Excellent communication and collaboration skills to work effectively with diverse teams. About the Team eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.

About The Role We are looking for a skilled Modeling Analytics Specialist to join our dynamic team. In this role, you will be responsible for leveraging advanced statistical and machine learning models to analyze complex data sets. Your insights and recommendations will drive strategic decision-making and optimize business processes. The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Roles and responsibilities: Develop and implement predictive models, segmentation analysis, and statistical analyses to extract insights from large datasets. Apply machine learning algorithms to solve business problems and improve operational efficiency. Collaborate with cross-functional teams to identify business requirements and translate them into analytical solutions. Utilize tools such as [list specific tools, e.g., Python, R] for data manipulation, modeling, and visualization. Create and automate reports and dashboards to present findings and actionable recommendations to stakeholders. Conduct deep dives into data to identify trends, patterns, and anomalies that can inform strategic initiatives. Ensure data accuracy and integrity by validating data sources and implementing quality assurance measures. Stay updated on industry trends and best practices in modeling, analytics, and data science. Technical and Functional Skills: Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field (preferred) with 7+ years of proven experience in statistical modeling, machine learning, and data analysis. Proficiency in programming languages such as [specific tools you use, e.g., Python, R]. Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights and findings. Strong analytical and problem-solving skills with the ability to interpret complex data sets. Excellent communication and collaboration skills to work effectively with diverse teams. About the Team eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.

About The Role We are looking for a skilled Modeling Analytics Specialist to join our dynamic team. In this role, you will be responsible for leveraging advanced statistical and machine learning models to analyze complex data sets. Your insights and recommendations will drive strategic decision-making and optimize business processes. The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Roles and responsibilities: Develop and implement predictive models, segmentation analysis, and statistical analyses to extract insights from large datasets. Apply machine learning algorithms to solve business problems and improve operational efficiency. Collaborate with cross-functional teams to identify business requirements and translate them into analytical solutions. Utilize tools such as [list specific tools, e.g., Python, R] for data manipulation, modeling, and visualization. Create and automate reports and dashboards to present findings and actionable recommendations to stakeholders. Conduct deep dives into data to identify trends, patterns, and anomalies that can inform strategic initiatives. Ensure data accuracy and integrity by validating data sources and implementing quality assurance measures. Stay updated on industry trends and best practices in modeling, analytics, and data science. Technical and Functional Skills: Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field (preferred) with 7+ years of proven experience in statistical modeling, machine learning, and data analysis. Proficiency in programming languages such as [specific tools you use, e.g., Python, R]. Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights and findings. Strong analytical and problem-solving skills with the ability to interpret complex data sets. Excellent communication and collaboration skills to work effectively with diverse teams. About the Team eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.

About The Role We are looking for a skilled Modeling Analytics Specialist to join our dynamic team. In this role, you will be responsible for leveraging advanced statistical and machine learning models to analyze complex data sets. Your insights and recommendations will drive strategic decision-making and optimize business processes. The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Roles and responsibilities: Develop and implement predictive models, segmentation analysis, and statistical analyses to extract insights from large datasets. Apply machine learning algorithms to solve business problems and improve operational efficiency. Collaborate with cross-functional teams to identify business requirements and translate them into analytical solutions. Utilize tools such as [list specific tools, e.g., Python, R] for data manipulation, modeling, and visualization. Create and automate reports and dashboards to present findings and actionable recommendations to stakeholders. Conduct deep dives into data to identify trends, patterns, and anomalies that can inform strategic initiatives. Ensure data accuracy and integrity by validating data sources and implementing quality assurance measures. Stay updated on industry trends and best practices in modeling, analytics, and data science. Technical and Functional Skills: Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field (preferred) with 7+ years of proven experience in statistical modeling, machine learning, and data analysis. Proficiency in programming languages such as [specific tools you use, e.g., Python, R]. Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights and findings. Strong analytical and problem-solving skills with the ability to interpret complex data sets. Excellent communication and collaboration skills to work effectively with diverse teams. About the Team eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.

About The Role : In Scope of Position based Promotions (INTERNAL only) Job Title- Risk Frameworks Specialist, AS Location- Pune, India Role Description Market Risk Management (MRM) provides an independent view of market risks to Deutsche Banks senior management and manages Deutsche Banks Market Risk position in an independent and neutral way. The Market Risk Analysis and Control (MRAC) function is responsible for the provision of all official market risk metrics and core analysis in support of risk management decision making, on behalf of the Market Risk Management department. The team has a global presence with staff located in London, New York, Singapore, Mumbai and Pune. The team operates a business/asset class and risk metric aligned organisational matrix supported by central functions. Functionally the team is organised as follows: Asset Class Teams own the front to back process for the asset class, infrastructure optimization, market data optimization, MRM management interface. This team is divided by business e.g. Equity, Credit, FX, Rates, Emerging Markets, and Treasury etc. Metric Production and Analysis - risk position data validation, calculation and reporting of all official market risk exposures and metrics using Historical Simulation, provision of analysis and commentary across all relevant risk metrics Strategic Production FRTB calculations, processes, controls and reporting Run the Bank (RTB) Change - continuous improvement, business process reengineering, stability and process optimisation, test execution management Data Quality and Operational Governance - data standards, completeness and accuracy, BCBS compliance, governance, documentation (KOP) Reporting strategic reporting and related data requirements, optimisation of reporting inventory and production, branding and quality of key reports COO organisational development, audit management, regulatory liaison What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities This role focuses on a number of activities across Metric Production and Analysis , Data Quality and Reporting for individual asset classes and Deutsche Bank as a whole. The primary responsibilities will be: Risk feed validation, mapping and related control Running of daily, weekly and month risk metrics like VaR, SVaR, IRC etc Review of various risk metrics at a business & portfolio level Generation and review of critical risk reports across different risk metrics VaR/ SVaR, EC, PST, IRC/CVA Work closely with other MRAC functions, MRMs and Finance teams for risk analysis and resolve issues around respective asset classes Collate and analyse data to help highlight the issues that are impacting the daily production process and contribute to initiatives to resolve them. Contribute to governance forums around BCBS239 Support testing of the banks risk models e.g Stressed Period Selection etc. Your skills and experience Grad/post-grad degree. Qualified in a numerate discipline (Engineering/Maths/Statistics) will be plus. Strong understanding of financial markets, products, derivative pricing, and methodology Excellent communication skills ability to articulate technical and financial topics with global stakeholders A reliable team player with the motivation to work in a dynamic, international and diverse environment. A committed and motivated individual for self-development and growth Keen interest in various risk frameworks and how they are interconnected for banks capital Basic experience in using large datasets with experience in relevant software packages, e.g. MS Excel, MS Access, VBA, and SQL. Experience with additional programming languages is a plus, e.g. Python, Matlab, R, or C++. Knowledge of coding in Python and SAS tool useful Able to multi-task and deliver under tight deadlines Able to work different shifts Benefits: This is an exciting opportunity to work in a diversified role with exposure to global stakeholders and multiple business lines, including investment and commercial bank exposure. The team is a small, highly skilled group with a flat and globally aligned hierarchy. As part of the Deutsche Bank Risk Division this team has access to the industrys state-of-the-art risk management models. How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs

About The Role : Job TitleEngineer, AVP LocationPune, India Role Description The candidate in this role will architect, design, develop application code, implement technical solutions, and configure applications in different environments in response to business problems. To meet the requirements of the business, the candidate will actively participate in architecture design, application development lifecycle, investigate issues (bugs/performance), propose solutions, promote re-usability of existing components, and contribute to the creation of frameworks. The candidate will assist junior members of the team and guide them as applicable. Knowledge of Trade finance domain will be an advantage. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Support business and key stakeholders to make data-driven decisions Work with the team on AI/ML solutions to improve the efficiency of various Trade Finance products Support with the migration of existing ML workflow to GCP using products such as DocAI Your skills and experience Experience using common languages used in data science preferably Python Experience in Google Doc AI, Gemini or other state-of-the-art LLMs is necessary Knowledge of AI/ML concepts beneficial - especially Natural Language Processing, Document Understanding and Computer Vision Knowledge of common frameworks like numpy, sklearn, pandas, tensorflow Familiarity with agile software development practices Desire to learn and adapt to new technology Strong analytical skills, with a university degree in Computer Science, Data Science, Mathematics, Physics or similar How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Role : Principal Data Scientist / LLM Specialist Responsibilities : Strategic Leadership :a. Define and drive the overall data science strategy and roadmap for the organization, aligning it with business objectives and technical capabilities.b. Oversee the design, development, and implementation of data science solutions.c. Foster a culture of innovation and continuous improvement within the data science team. Data Strategy :a. Develop and deploy advanced data science models and algorithms, including LLMs, to solve complex business problems. Identify, acquire, and curate high-quality datasets relevant ML tasks.b. Design and implement data preprocessing, cleaning, and augmentation techniques.c. Leverage LLMs to extract deeper insights from data, including unstructured text and natural language data. Data-Driven ML Development :a. Collaborate with LLM experts to integrate LLMs into data science pipelines and applications. b. Optimize LLM performance for specific tasks and domains.c. Apply advanced data mining and machine learning techniques to extract valuable insights.d. Evaluate ML performance using rigorous data-driven metrics. ML Data Visualization and Analysis :a. Develop data visualizations and analysis techniques to understand ML Al behavior and performance.b. Identify trends, patterns, and anomalies in data. Explore new applications of LLMs in data science, such as LLM-powered recommendation systems, predictive analytics, and anomaly detection.c. Communicate data-driven insights to stakeholders effectively. Minimum Required Skills :- 11+ years of experience preferred. - Advanced degree in computer science, data science, or a related field.- Deep understanding of LLM architectures, algorithms, and techniques.- Strong experience in Python, SQL. Should be extremely comfortable with Numpy, Pandas, Matplotlib and Scikit learn python libraries Strong understanding of machine learning concepts and algorithms. Should know deep learning techniques such as clustering, decision trees, random forest, etc. Knowledge on text classification, sentiment analysis, named entity recognition, machine translation, text summarization and question answering is must. Experience with LLM frameworks (Hugging Face Transformers, TensorFlow, PyTorch) Experience with data labeling and annotation tools. Certifications in cloud platforms or ML technologies can be a plus. Proficient knowledge of cloud platforms (AWS, GCP, Azure). Strong problem solving and analytical skills. Ability to work in team oriented, collaborative environment.Keywords : Data Scientist Statistician Data Engineer Python R Supervised & Unsupervised learning Machine Learning Algorithms Deep Learning Hugging Face Natural Language Processing (NLP) Computer Vision TensorFlow PyTorch Scikit learn Transformers LLM Frameworks LLM Models GPT 3, 4o BERT Llama

Responsibilities : 1. Strategic Leadership : a. Define and drive the overall data science strategy and roadmap for the organization, aligning it with business objectives and technical capabilities. b. Oversee the design, development, and implementation of data science solutions. c. Foster a culture of innovation and continuous improvement within the data science team. 2. Data Strategy : a. Develop and deploy advanced data science models and algorithms, including LLMs, to solve complex business problems. Identify, acquire, and curate high-quality datasets relevant ML tasks. b. Design and implement data preprocessing, cleaning, and augmentation techniques. c. Leverage LLMs to extract deeper insights from data, including unstructured text and natural language data. 3. Data-Driven ML Development : a. Collaborate with LLM experts to integrate LLMs into data science pipelines and applications. b. Optimize LLM performance for specific tasks and domains. c. Apply advanced data mining and machine learning techniques to extract valuable insights. d. Evaluate ML performance using rigorous data-driven metrics. 4. ML Data Visualization and Analysis : a. Develop data visualizations and analysis techniques to understand ML Al behavior and performance. b. Identify trends, patterns, and anomalies in data. Explore new applications of LLMs in data science, such as LLM-powered recommendation systems, predictive analytics, and anomaly detection. c. Communicate data-driven insights to stakeholders effectively. Minimum Required Skills : - 11+ years of experience preferred. - Advanced degree in computer science, data science, or a related field. - Deep understanding of LLM architectures, algorithms, and techniques. - Strong experience in Python, SQL. - Should be extremely comfortable with Numpy, Pandas, Matplotlib and Scikit learn python libraries - Strong understanding of machine learning concepts and algorithms. Should know deep learning techniques such as clustering, decision trees, random forest, etc. - Knowledge on text classification, sentiment analysis, named entity recognition, machine translation, text summarization and question-answering is must. - Experience with LLM frameworks (Hugging Face Transformers, TensorFlow, PyTorch) - Experience with data labeling and annotation tools. - Certifications in cloud platforms or ML technologies can be a plus. - Proficient knowledge of cloud platforms (AWS, GCP, Azure). - Strong problem-solving and analytical skills. - Ability to work in team-oriented, collaborative environment. Keywords : - Data Scientist - Statistician - Data Engineer - Python - R - Supervised & Unsupervised learning - Machine Learning Algorithms - Deep Learning - Hugging Face - Natural Language Processing (NLP) - Computer Vision - TensorFlow - PyTorch - Scikit-learn - Transformers - LLM Frameworks - LLM Models - GPT -3, 4o - BERT - Llama

Responsibilities : 1. Strategic Leadership : a. Define and drive the overall data science strategy and roadmap for the organization, aligning it with business objectives and technical capabilities. b. Oversee the design, development, and implementation of data science solutions. c. Foster a culture of innovation and continuous improvement within the data science team. 2. Data Strategy : a. Develop and deploy advanced data science models and algorithms, including LLMs, to solve complex business problems. Identify, acquire, and curate high-quality datasets relevant ML tasks. b. Design and implement data preprocessing, cleaning, and augmentation techniques. c. Leverage LLMs to extract deeper insights from data, including unstructured text and natural language data. 3. Data-Driven ML Development : a. Collaborate with LLM experts to integrate LLMs into data science pipelines and applications. b. Optimize LLM performance for specific tasks and domains. c. Apply advanced data mining and machine learning techniques to extract valuable insights. d. Evaluate ML performance using rigorous data-driven metrics. 4. ML Data Visualization and Analysis : a. Develop data visualizations and analysis techniques to understand ML Al behavior and performance. b. Identify trends, patterns, and anomalies in data. Explore new applications of LLMs in data science, such as LLM-powered recommendation systems, predictive analytics, and anomaly detection. c. Communicate data-driven insights to stakeholders effectively. Minimum Required Skills : - 11+ years of experience preferred. - Advanced degree in computer science, data science, or a related field. - Deep understanding of LLM architectures, algorithms, and techniques. - Strong experience in Python, SQL. - Should be extremely comfortable with Numpy, Pandas, Matplotlib and Scikit learn python libraries - Strong understanding of machine learning concepts and algorithms. Should know deep learning techniques such as clustering, decision trees, random forest, etc. - Knowledge on text classification, sentiment analysis, named entity recognition, machine translation, text summarization and question-answering is must. - Experience with LLM frameworks (Hugging Face Transformers, TensorFlow, PyTorch) - Experience with data labeling and annotation tools. - Certifications in cloud platforms or ML technologies can be a plus. - Proficient knowledge of cloud platforms (AWS, GCP, Azure). - Strong problem-solving and analytical skills. - Ability to work in team-oriented, collaborative environment. Keywords : - Data Scientist - Statistician - Data Engineer - Python - R - Supervised & Unsupervised learning - Machine Learning Algorithms - Deep Learning - Hugging Face - Natural Language Processing (NLP) - Computer Vision - TensorFlow - PyTorch - Scikit-learn - Transformers - LLM Frameworks - LLM Models - GPT -3, 4o - BERT - Llama