7757 Machine Learning Jobs - Page 24

Job Description: Technical skills Programming Python R SQL ML algorithms Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains NLP speech computer vision structured data Learning patterns supervised unsupervised reinforcement learning Tools for data analysis auto ML model deployment scaling model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets pre built models available in open community and 3rd party providers Knowledge of software development architectures Knowledge of hyperscalers their AI capabilities Azure AWS GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Key Responsibilities: Technical skills Programming Python R SQL ML algorithms Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains NLP speech computer vision structured data Learning patterns supervised unsupervised reinforcement learning Tools for data analysis auto ML model deployment scaling model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets pre built models available in open community and 3rd party providers Knowledge of software development architectures Knowledge of hyperscalers their AI capabilities Azure AWS GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Technical Requirements: Technical skills Programming Python R SQL ML algorithms Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains NLP speech computer vision structured data Learning patterns supervised unsupervised reinforcement learning Tools for data analysis auto ML model deployment scaling model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets pre built models available in open community and 3rd party providers Knowledge of software development architectures Knowledge of hyperscalers their AI capabilities Azure AWS GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Preferred Skills: Technology->Machine learning->data science,Technology->Machine Learning->Generative AI,Technology->Machine Learning->Python

Job Description: SAP FI S4 HANA Finance Principal Consultant Looking for a smart and dynamic talent of 12 years consultants The Lead team would work closely with CFO Team in supporting finance Transformation programs Advanced Finance Close Central Finance Group Reporting Cash Management powered by HANA Collections process re imagination Swift Implementation Support and maintenance of implemented solutions Key Responsibilities: SAP consulting experience including customer facing implementations roll outs expert advisory assignments in S 4HANA environment Closely work with the Business teams on problem definition solution architecting rollout plan Manage a team of people across various modules in SAP with focus on reengineering the business processes and migrating the business to a new instance Responsible for deploying in various countries by coordinating between various teams in processes IT business and answering various stakeholders Co working with cross functional teams Data modelling Analytics governance infrastructure Technical Requirements: Primary Skills Professionally qualified Chartered Accountant CMA MBA Finance with 12 15 years of SAP consulting experience in Finance Controlling besides a good understanding of business processes Well versed with US GAAP IFRS Local GAAP for multiple countries VAT Sales Tax Requirements etc Solid understanding of accounting concepts processes and key controls policies reporting and budgeting principles Preferably someone with a knowledge of using new age technologies like robotics machine learning artificial intelligence and drive transformation projects using design thinking methods Influencing skills creative thinking innovative mind set Deep understanding of basic FICO processes covered or related to Financial Accounting modules GL AP AR FA Taxes SAP Financial Supply Chain Management BCM TRM Working knowledge of integration OTR P2P Process Secondary Skills Working knowledge on 1 or more of the below would be an added advantage Additional Responsibilities: Qualification CA CWA CS MBA Work Experience 12 to 15 years Notice Period Immediate to 30 days Work Location Bangalore Preferred Skills: Technology->SAP Functional->SAP Finance

Key Responsibilities: A day in the life of an Infoscion As part of the Infosys delivery team your primary role would be to provide best fit architectural solutions for one or more projects You would also provide technology consultation and assist in defining scope and sizing of work You would implement solutions create technology differentiation and leverage partner technologies Additionally you would participate in competency development with the objective of ensuring the best fit and high quality technical solutions You would be a key contributor in creating thought leadership within the area of technology specialization and in compliance with guidelines policies and norms of Infosys If you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you Technical Requirements: Primary skills Technology Big Data Big Data ALL Technology Cloud Platform Amazon Webservices Architecture Technology Data Security Public Key Infrastructure Digital Signatures Cryptography Transport Layer Security Thawte Technology Machine Learning Python Additional Responsibilities: Knowledge of architectural design patterns performance tuning database and functional designs Hands on experience in Service Oriented Architecture Ability to lead solution development and delivery for the design solutions Experience in designing high level and low level documents is a plus Good understanding of SDLC is a pre requisite Awareness of latest technologies and trends Logical thinking and problem solving skills along with an ability to collaborate Preferred Skills: Technology->Big Data->Big Data - ALL,Technology->Cloud Platform->Azure IOT,Technology->Cloud Platform->Amazon Webservices Architecture,Technology->Machine Learning->Python

Job Description: Strategic Technology Group is a core team within Infosys supported by Power Programmers who are tech polyglots Our team of Power Programmers works on complex projects and builds solutions to solve some of the world s most challenging business problems Introduction We are looking for a passionate and talented Researcher to join Infosys Applied AI research team As an Researcher you will work on architecting building refining and optimizing state of the art Models that drive cutting edge multi modal multi domain understanding and generation capabilities If you have experience building LLM SLM Multimodal models we would love to hear from you Why Join Us Work with an innovative team on cutting edge projects that are pushing the boundaries of artificial intelligence Opportunity to grow professionally and contribute to groundbreaking advancements in NLP and AI Competitive compensation and benefits package Bangalore preferred Flexible work environment with remote work options available Key Responsibilities: Design develop and train transformer based models for multiple modality to support a variety of AI powered applications Experiment with various architectures training techniques and optimization methods to improve the model s understanding and generative capabilities Innovate robust and scalable architectures to accommodate the future requirements Troubleshoot and debug model issues ensuring the models remain robust and adaptable Technical Requirements: We are looking for a passionate and talented Researcher to join Infosys Applied AI research team As an Researcher you will work on architecting building refining and optimizing state of the art Models that drive cutting edge multi modal multi domain understanding and generation capabilities If you have experience building LLM SLM Multimodal models we would love to hear from you Additional Responsibilities: Master s degree or PhD in Computer Science Artificial Intelligence Machine Learning or related fields Ph D preferred Proven experience in training models both text and multi modal models Strong knowledge of transformer architectures and their underlying principles Experience with model pre training finetuning and distributed training One or more scientific publication submissions for conferences journals or public repositories e g ICML ICLR NeurIPS Preferred Skills: Technology->Machine Learning->AI/ML Solution Architecture and Design->generative ai

7+ years of Software Development Experience with at least 3+ years of full-time data scientist, machine learning researcher, or machine learning engineerFluency in R, Python, and experience with common data science libraries, such as Pandas, numpy, and scikit-learn Experience using neural networks and/or Deep Learning techniques and relevant Python platforms/APIs such as Tensorflow, PyTorch, and Keras in a production settingKnowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc) and their real-world advantages/drawbacks Experience with NLP (especially sentiment analysis, entity recognition, and use of the SpaCy library)Experience with SQL databases and SQL queriesSelf-starting, with the interest and passion to contribute in a fast-paced start-up like environmentExperience working on or with cloud platforms (AWS, GCP, Azure)optionalSkills[] , "rolesBuild , deploy, monitor, and manage Machine Learning modelsIdentify valuable input features and implement a means for calculating them (feature engineering)Investigate, clean, analyze, and otherwise prepare new data sources for use in higher-order analysis or as input into model features Data analysis and presentation using data visualization techniques, sometimes to broader audiences within or outside of TeraweTransition models from research to production, working with Data Engineers Fine-tune model performance in a production setting using adaptive/incremental machine learning techniquesMap customer and/or product requirements to correct modeling, analysis, and/or visualization approaches Recommend ways to improve data reliability and quality and implement them Collaborate with Product development team to plan new featuresexperience"

We help the world run better At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. What youll do: As a Senior User experience designer, You would Design a professional grade user experience (based on SAPs Design System) by collaborating with UX Designers, UA Developers, Product Development team(s), Product Managers and other stakeholders. Provide design specifications and assets required for implementation by the development team. Ensure quality by supporting the development team during the development phase by conducting continuous reviews of the implemented UIs to ensure adherence to the specifications, standards and guidelines. Adopt a data driven solution discovery, design and development process by seeking and utilizing data from multiple data channels such as Telemetry, UX Surveys, User Research and Customer Engagement activities to enable you to take design decisions based on insights derived from the various data channels. Help conduct user research and usability testing to understand AI-driven enterprise needs. Create AI interactions that augment human decision-making & ensure AI experiences are transparent, consistent, ethical, and trustworthy. Develop intuitive explanations and guidelines for AI recommendations and predictions. What you bring: Bachelor s and/ or Master s degree in Interaction Design, Product Design, Digital Media Design, Human Computer Interaction from recognized Design institutes 7+ years of relevant experience Proficiency in Figma, Sketch, Adobe XD, or similar tools. Skills in creating wireframes, journey maps, and high-fidelity prototypes. Hands-on experience in conducting UX research such as user interviews, usability testing, surveys, contextual inquiries, usability inspection, user data collection, or diary studies. Basic understanding of AI concepts esp. designing conversational experiences is preferrable Experience in enterprise or B2B software is a plus Excellent communication skills, both written and verbal. Meet your team: Envisioning to Delight customers. Always. , the Customer eXperience & Solutions (CXS) teams within the Customer Support organization engineer software products in Application Lifecycle Management (ALM) that helps to create the perfect experience throughout the customer journey, from discovery & implementation to go-live & operations, for all SAP products. SAP Cloud ALM is one the fastest growing SaaS product within SAP, that has reached 10K+ customers. We have engineered SAP Cloud ALM in a cloud-native architecture, with single trunk development that enables daily delivery to production. Our team works at the intersection of user experience design and machine learning to build the future and help us create best in-class apps #UXT3 Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world. SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy . Specific conditions may apply for roles in Vocational Training. EOE AA M/F/Vet/Disability: Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. Successful candidates might be required to undergo a background verification with an external vendor. Requisition ID: 428505 | Work Area: Software-User Experience | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid. Requisition ID: 428505 Posted Date: Jun 4, 2025 Work Area: Software-User Experience Career Status: Professional Employment Type: Regular Full Time Expected Travel: 0 - 10% Location:

We help the world run better At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. As an AI Application Engineer, you will be responsible for designing and building AI applications, utilizing machine learning and deep learning techniques. Collaborate with various teams to understand business goals and translate them into technical requirements. Develop prompts for data analysis and model training, ensuring high accuracy and performance. Optimize existing AI models and applications for better efficiency. Troubleshoot and fix any technical glitches that occur during development or deployment. Keep up with the latest trends in AI to contribute innovative ideas to projects. What youll do At SAP, a global powerhouse in enterprise software, youll join a vibrant and innovative team. Were on an AI - first journey, integrating AI into every aspect of product development. Right now, our team is engaged in diverse cutting - edge projects. Our chatbot, already serving a vast international user base across industries, efficiently handles complex customer inquiries. Youll also get to contribute to exciting initiatives, especially in AI agents. Its a collaborative space where knowledge sharing thrives, offering endless opportunities for your growth in enterprise AI development. Come be a part of our dynamic team and shape the future of AI applications! Duties and Responsibilities: Experience in the full lifecycle development of AI applications, from conceptualization to deployment, leveraging hands-on experience to ensure seamless functionality and high performance, such as data ingestion, model training, and application integration. Collaborate with cross-functional teams to understand business needs and translate them into technical solutions. Apply in-depth knowledge of prevalent large language models like GPT and Llama, as well as other relevant AI technologies, in the development process. This involves exploring their capabilities, limitations, and potential applications to create innovative and competitive AI applications. Conduct comprehensive testing and meticulous optimization of AI applications, includes performance testing, accuracy validation, and addressing any identified issues or bottlenecks to enhance the overall quality and efficiency of the applications. Manage data pipeline for AI model training, including data collection, cleaning, preprocessing, and ensuring data quality and integrity to support accurate and reliable model training. Integrate AI features into existing systems and architectures. Stay updated on the latest industry trends, emerging technologies, and best practices in AI. Provide ongoing support and maintenance for deployed AI applications. This involves monitoring performance, addressing user feedback, and making necessary updates or adjustments to ensure the applications continue to function optimally What you bring Required Skills & Experience: Bachelors degree or above in a relevant field. At least 8 years of work experience in AI-related fields. Proven AI product development experience. Proficiency in writing prompts. Experience in Agentic AI, Knowledge Graph and etc. Understanding of large language model principles. Strong programming skills. Problem-solving ability. Familiarity with data processing and analysis. Familiarity with cloud computing platforms like AWS, Azure. Eagerness to learn new AI technologies and strong learning ability. Good teamwork and communication skills. Excellent English communication skills. Meet your team Joule in SuccessFactors is the New Generative AI Assistant built-upon embedded ONE SAP AI copilot, part of SAPs cloud enterprise portfolio. We are the team building AI Skills/Capabilities to help people get work done smarter & faster and drive better business outcomes in a secure, compliant way in Human Experience Management (HXM) domain. The product rolled out to market in Nov 2024, in the progress to booster customer adoption and deliver more attractive skills. We are looking for you to join and experience the journey. Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world. SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy . Specific conditions may apply for roles in Vocational Training. EOE AA M/F/Vet/Disability: Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. Successful candidates might be required to undergo a background verification with an external vendor. Requisition ID: 428199 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid. Requisition ID: 428199 Posted Date: May 31, 2025 Work Area: Software-Design and Development Career Status: Professional Employment Type: Regular Full Time Expected Travel: 0 - 10% Location:

We help the world run better At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. What Youll Do Design and build stable and scalable AI-based solutions, PoCs and first versions of new products & features. Make critical design decisions selecting underlying technologies. Iterate rapidly experimenting with GenAI, developing both front and backend components. Work alongside colleagues in a cross-functional team to develop and deliver modular, reusable components, ensuring they can be seamlessly integrated across a diverse array of cloud technology environments. Explore and assess new technologies in the field of generative AI, Large Language Models (LLMs), AI-augmented development, tools, and infrastructure to evolve existing highly used functionalities and services in the cloud. Design, maintain, and optimize the framework for collecting, processing, transforming, and granting access to data for GenAI applications. Tech Expertise: SAP BTP, Cloud Foundry/Kyma, Docker, Cloud-Native Development, TypeScript, SAP CAP, UI5, React, Jenkins, Git, GitOps, DevOps, Python. What You Bring Proven experience developing solutions with SAP Business Technology Platform, ideally in combination with SAP ERP/SAP S/4HANA A solid understanding of AI modeling and methodology and tools in addition to general AI/ML. Prior experience in conceiving microservice environments including containerization and implementation with Cloud Foundry, Kubernetes, Kyma, or SAP AI Core Deep knowledge of software development with Python and JavaScript. Experience with others such as SAP UI5, ABAP, or JAVA is a plus. A strong understanding of machine Learning and AI frameworks such as PyTorch, TensorFlow, SAP HANA APL/PAL, scikit-learn, and their application to business environments. Prior experience with cloud/hybrid machine learning, data integration, data modeling, data analysis, integrations, and the development of applications and architectures Extensive knowledge in statistics, probability, and linear algebra with superior analytical skills. Exceptional presentation and facilitation skills, with the ability to effectively communicate complex information. Team-oriented with demonstrated leadership and mentoring skills. 6-11 years of relevant professional experience and a relevant college degree Meet your team Within S/4HANA Hub - Delivery @ Scale - we help our customers with Intelligent Enterprise Adoption through business process Innovation, Automation and Intelligence. The focus is on working with our S/4HANA Industry and LoB domains etc., to solve real-world business problems through our easy-to-consume service offerings, packages and accelerators. We do this through the right mix of process / functional expertise, technology expertise and innovative practices. #BusinessProcessT2 #BusinessProcessT3 Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world. SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy . Specific conditions may apply for roles in Vocational Training. EOE AA M/F/Vet/Disability: Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. Successful candidates might be required to undergo a background verification with an external vendor. Requisition ID: 411346 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid. Requisition ID: 411346 Posted Date: Jun 12, 2025 Work Area: Consulting and Professional Services Career Status: Professional Employment Type: Regular Full Time Expected Travel: 0 - 10% Location:

We help the world run better At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. What youll do This is a US Facing role, working hours 6:00 PM to 3:00 AM IST This is a position for Concur Solution Area to develop reusable AI capabilities for solving business problems for products such as Joule and GenAI Hub. The developments might include using Python based Machine learning and deep learning models such a BERT or ROBERTA and deep understanding of model working is essential. A part of this team delivers AI capabilities for streamlining process operations and and on-going production-level support and improvements to LoBs operational working methodologies.Creating a cycle of prioritization, execution, and collecting feedback/signals as quickly and efficiently as possible. The fellows will be supporting our AI, Robotics and Automation Services (Application Development, Document Information Processing, Data Attribute Recommendation, and Product Recommendation). Expectations for this role include: 1-3 years of Full stack developer (Java & Python must) Development on Python Based AI models Usage of Joule based products Usage of BTP based products Under standing Concur as a product capability Creating clarity by translating the customer pain point into an AI problem to be solved Evaluating the impact of the AI deliverable Designing a solution for the AI problem and developing the application Tasks include: Working closely and meeting regularly with stakeholder teams (outbound PM team, LoB partner team, etc.) AI based developments and then usage of Robotics to enable the intelligence to be transformed into action. Writing pitch documents that outline the use case, the proposed solution, the work items, timeline, and impact Partnering with the product owner in unblocking any issues for development Learning & Development Opportunities We are looking for highly talented and flexible candidates who have: Good knowledge on LLM, Gen AI and Machine learning Working knowledge on Opensource languages such as Python and JavaScript. HANA ML is added advantage Demonstrates full responsibility for accepted tasks with high quality, speed, reliability and efficiency. good presentation, analytical and troubleshooting skills Fellows will along with polishing their technical skills will be able to learn the following: Real time experience on SaaS business model Servicing and Support within cloud business Collaborating with internal stake holders Delivering business presentation/Demo to Executive Sponsors and Leadership teams Additional Notes Candidate should be able to develop and understand complex Python Code. Candidate should be able to understand and learn BTP capabilities. #SAPInternalT1 #T1 Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world. SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy . Specific conditions may apply for roles in Vocational Training. EOE AA M/F/Vet/Disability: Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. Successful candidates might be required to undergo a background verification with an external vendor. Requisition ID: 425646 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 10% | Career Status: Graduate | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid. Requisition ID: 425646 Posted Date: Jun 13, 2025 Work Area: Consulting and Professional Services Career Status: Graduate Employment Type: Regular Full Time Expected Travel: 0 - 10%

We help the world run better At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. What youll do Independently handle large implementation projects and lead team to deliver an outcome following SAP Activate methodology. Warehouse Management knowledge is preferred Demonstrate the ability to plan, run, and manage blueprint workshops / meetings with internal and external clients Responsible for defining the scope of a project / opportunities, estimating efforts and project timelines Participating in RFP discussions and estimating under guidance from a Bid Manager Creative source of ideas and solutions to address problems What you bring Minimum of 2+ years industry experience and a minimum of 1-2 years of SAP MM and Ariba experience Knowledge on SAP S/4HANA Public Cloud solution and SAP Innovation portfolio will be preferred SAP Certified in MM Awareness and knowledge on Machine Learning, Artificial Intelligence and Block Chain functional use cases will be desirable Degree in Engineering (BE, BTech) Minimum 1 full life cycle SAP implementations with minimum 1 Ariba Implementation Strong knowledge in S/4HANA Procurement and Inventory Management solution Good integration knowledge with other components within SAP (FI / CO / SD / PS / PP / QM/ WM) Expertise in handling CVI and mandatory logistics conversion tasks Strong integration knowledge with Ariba and Procurement Fiori apps knowledge Strong Client facing experience Knowledge of S/4HANA Cloud, Fieldglass and Central Procurement an added advantage Mobility is must - candidate must be ready to travel to project locations (short term and long term) Meet your team Address requirements in the area of S/4HANA Procurement, build competencies at Solution Delivery Centre to deliver solutions especially in areas relating to S/4HANA Procurement, ARIBA Integration #BusinessProcessT1 Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world. SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy . Specific conditions may apply for roles in Vocational Training. EOE AA M/F/Vet/Disability: Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. Successful candidates might be required to undergo a background verification with an external vendor. Requisition ID: 429860 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 10% | Career Status: Graduate | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid. Requisition ID: 429860 Posted Date: Jun 23, 2025 Work Area: Consulting and Professional Services Career Status: Graduate Employment Type: Regular Full Time Expected Travel: 0 - 10%

We help the world run better At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. AI Developer -Product, Data & Technology - Tools India What youll do As an AI Developer, you will play a key role in building innovative AI-powered applications to solve complex business challenges. Your responsibilities will include: Developing AI-powered applications leveraging Large Language Models (LLMs), AI agents, Model Context Protocol (MCP), Agent-to-Agent (A2A) protocol. Development, testing, performance, security and user experience of AI applications from prototyping to production. Collaborating with cross-functional teams to integrate AI capabilities into existing applications and workflows. What you bring Bachelor s or Masters degree in Computer Science, Artificial Intelligence, or a related field. 6+ years of IT experience. Must have skills Excellent programming skills in Python Experience with developing AI-powered applications Large Language Models (e.g., OpenAI, Hugging Face, LangChain, LLaMA) Agentic AI concepts and protocols (Model Context Protocol, Agent-to-Agent protocol) Nice to have skills Machine Learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Lifecycle management for AI models (training, validation, deployment, and monitoring) DevOps / AIOps practices Meet your team Product, Data & Technology - Tools India is responsible for defining, designing & developing applications that support product development at SAP. We are the team responsible for several innovative applications including: Hyperspace (SAP s official internal development platform) SAP Jira (SAP s official backlog management tool with over 100,000 end-users) Lucid Capacity (simplified capacity management for development) SAP Transformation Navigator (provides guidance to SAP customers on charting their path to an intelligent enterprise. Winner of the 2017 Hasso Plattner Award) AI Pair Programming with GitHub Copilot We aim for excellence in our work and prioritize developing strong professional relationships and having fun at work. With teams in Walldorf, Palo Alto, Sofia, Paris and Bangalore, we offer an open, collaborative and international environment for continuous learning and career development! Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world. SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy . Specific conditions may apply for roles in Vocational Training. EOE AA M/F/Vet/Disability: Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. Successful candidates might be required to undergo a background verification with an external vendor. Requisition ID: 423243 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid. Requisition ID: 423243 Posted Date: Jun 21, 2025 Work Area: Software-Design and Development Career Status: Professional Employment Type: Regular Full Time Expected Travel: 0 - 10%

Senior ML Ops Engineer - India We seek a Senior ML Ops Engineer to play a critical role in operationalizing machine learning workflows that drive dynamic pricing and personalized consumer experiences. This position focuses on building robust ML infrastructure and frameworks, including drift detection, model calibration, versioning, and reinforcement learning orchestration. The ideal candidate will bring expertise in Databricks, Unity Catalog, and feature stores and a deep understanding of Git workflows, Databricks workflows, and automated ML training pipelines. Key Responsibilities ML Infrastructure Development: Build and maintain scalable ML infrastructure on Databricks, leveraging Unity Catalog and feature stores to support model development and deployment. Drift Detection Frameworks: Design and implement frameworks for detecting data and model drift, ensuring continuous monitoring and high reliability of ML models in production. Model Calibration & Versioning: Develop model calibration frameworks and establish versioning practices to maintain transparency and reproducibility across the ML lifecycle. Low-Latency Orchestration: Design and optimize reinforcement learning (RL) orchestration pipelines, including Contextual Bandits, for real-time execution in low-latency environments. Automated Training Pipelines: Create automated frameworks for training, retraining, and validating ML models, enabling efficient experimentation and deployment. CI/CD for ML: Implement CI/CD best practices to streamline the deployment and monitoring of ML models, integrating with Databricks workflows and Git-based version control systems. Collaboration: Work closely with ML Scientists to ship, deploy, and maintain models Monitoring & Optimization: Build tools for model performance monitoring, operational analytics, and drift mitigation, ensuring reliable operation in production environments. Qualifications 7+ years in MLOps, ML Engineering, or related roles, focusing on deploying and managing ML workflows in production environments. Hands-on experience building drift detection systems, model calibration frameworks, and robust monitoring tools for ML pipelines. Proficient in using Databricks, Apace Spark, ML Flow, Unity Catalog, and feature stores. Expertise in deploying and orchestrating low-latency ML models, including reinforcement learning solutions like Contextual Bandits and Q-learning. Experience designing automated training pipelines for ML models, focussing on efficiency Strong knowledge of Git workflows, CI/CD practices, and tools like GitLab or similar. Proficiency in Python, SQL, and big data processing tools like Spark. Familiarity with ML lifecycle tools such as MLflow, Kubeflow, and Airflow. Strong understanding of model performance monitoring, drift detection, and retraining workflows

Neuralzome Cybernetics is looking for Robotics Control Intern to join our dynamic team and embark on a rewarding career journey Support design of control algorithms for robotic systems Implement and test motion planning modules Use tools like ROS and Python/C++ Document outcomes and research findings

Honeybee Digital is looking for Data Science Intern to join our dynamic team and embark on a rewarding career journey Assist in data science projects and activities Conduct data analysis and visualization Develop and implement data science models and algorithms Monitor and report on data science performance metrics Collaborate with data science teams to optimize operations Gain practical experience in data science

Socialion Media is looking for Data Analyst to join our dynamic team and embark on a rewarding career journey Collecting and analyzing large data sets using statistical and data visualization tools Identifying patterns, trends, and correlations in data to inform business decisions Developing and maintaining databases, data systems, and data analytics tools Developing and implementing data analysis processes and methodologies Creating and delivering reports and presentations that clearly communicate data insights to management and other stakeholders Collaborating with other departments, such as marketing and operations, to develop data-driven solutions to business problems Ensuring data accuracy, completeness, and integrity Designing and conducting experiments to test hypotheses and validate assumptions Developing and maintaining predictive models to forecast business outcomes

# Hands on programming exp in R language and Shiny tool # Experience in R libraries covering MS SQL Datasource Connectivity, Data Ingestion and Transformation # Experience in Shiny tool in developing complex UI with the combination of Generic charts and custom Graphs # Inquisitiveness to learn and good problem solving ability # Experience in R libraries covering MS SQL Datasource Connectivity, Data Ingestion and Transformation # Experience in Shiny tool in developing complex UI with the combination of Generic charts and custom Graphs # Inquisitiveness to learn and good problem solving ability Interested candidates may email their resume to . Role:- You will be a part of current development team and will play a part developing applications as a part of internal products or business requirement.

Requirements:- # Hands on programming experience in Python language and framework like Django # Integrate external libraries, APIs, and databases into Python frameworks # Experience in Python libraries Numpy,Pandas # Develop scalable algorithms and computational methods to process, analyze, and interpret biological data sets # Collaborate with cross-functional teams to design and implement Python-based bioinformatics tools and pipelines # Inquisitiveness to learn and good problem solving ability # Hard working and ready to contribute R & D bioinformatics lab # Knowledge of algorithm development, statistical analysis, and machine learning techniques applied to biological data is a plus # Integrate external libraries, APIs, and databases into Python frameworks # Experience in Python libraries Numpy,Pandas # Develop scalable algorithms and computational methods to process, analyze, and interpret biological data sets # Collaborate with cross-functional teams to design and implement Python-based bioinformatics tools and pipelines # Inquisitiveness to learn and good problem solving ability # Hard working and ready to contribute R & D bioinformatics lab # Knowledge of algorithm development, statistical analysis, and machine learning techniques applied to biological data is a plus Role:- You will be a part of current development team and will play a part developing applications as a part of internal products , research development and client product Development.

Job Summary: We are seeking an experienced Full Stack Architect with deep expertise in front-end frameworks ( React.js, Angular ), back-end development ( Node.js, Python ), and advanced knowledge in Artificial Intelligence/Machine Learning . The ideal candidate will lead the architecture, design, and implementation of scalable, high-performance web applications while integrating AI-powered features. This is a strategic technical leadership role involving hands-on development, team mentoring, and solution design across the stack. Key Responsibilities: Design and lead the architecture of complex, full-stack web applications using React.js, Angular, Node.js, and Python. Collaborate with data scientists and AI/ML engineers to integrate intelligent features into platforms. Create scalable and reusable components and microservices to support multiple products. Define and enforce coding standards, architectural guidelines, and best practices. Drive cloud-native architecture using platforms such as AWS, Azure, or GCP. Perform hands-on development and code reviews to ensure quality and performance. Work closely with DevOps to ensure CI/CD pipelines, containerization (Docker/Kubernetes), and automation are in place. Translate product requirements into technical specifications and development plans. Provide mentorship and technical guidance to full stack and AI developers. Stay up to date with emerging technologies, frameworks, and industry trends. Required Skills and Experience: Proven experience as a Full Stack Architect or Senior Full Stack Developer (8+ years). Expert in React.js , Angular , and TypeScript for front-end architecture. Strong proficiency with Node.js and Python in building back-end APIs and services. Experience with AI/ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and integrating AI into applications. Solid understanding of RESTful APIs, GraphQL, and WebSocket architecture. Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Redis). Familiarity with cloud platforms (AWS, GCP, or Azure) and serverless architecture. Proficiency in containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines. Strong understanding of system design, distributed systems, and microservices architecture. Excellent problem-solving, leadership, and communication skills. Preferred Qualifications: Master s or Bachelor s degree in Computer Science, Engineering, or related field. Certification in cloud platforms (AWS Architect, GCP Professional Cloud Architect, etc.). Experience with generative AI (e.g., OpenAI, LLMs) and deploying AI models in production. Familiarity with infrastructure as code (Terraform, CloudFormation). Benefits: Competitive salary and performance bonuses Flexible work hours and remote work options :Career growth opportunities Access to advanced AI/ML tools and compute resources Collaborative and innovative team environment Location: Remote Timing- 2:30 pm to 11:30 pm Sub-Department: Architect

Req ID: 323701 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Gen AI Lead Engineer to join our team in Bangalore, Karn taka (IN-KA), India (IN). Job Duties: Exercise expertise in ideating and developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. Apply statistical skills and advanced statistical techniques and concepts. Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc. Display proficiency in programming languages such as Python and understanding of various Python packages. Experience with TensorFlow, PyTorch, or Keras. Develop and implement GenAI solutions, collaborating with cross-functional teams, and supporting the successful execution of AI projects for a diverse range of clients. Assist in the design and implementation of GenAI use cases, projects, and POCs across multiple industries. Work on RAG models and Agents Frameworks to enhance GenAI solutions by incorporating relevant information retrieval mechanisms and frameworks Create and maintain data infrastructure to ingest, normalize, and combine datasets for actionable insights. Work closely with customers to understand their requirements and deliver customized AI solutions. Interact at appropriate levels to ensure client satisfaction and project success. Communicate complex technical concepts clearly to non-technical audiences. Conduct training sessions to enhance overall data science skills within the organization Build solutions for Private AI and Smart Agentic Solutions Minimum Skills Required: 2+ years of experience architecting high-impact GenAI solutions for diverse clients, preferably in Private AI and Smart Agentic Solutions 8+ year(s) of experience participating in projects that focused on one or more of the following areas: o Predictive Analytics o Data Design o Generative AI o AI/ML o ML Ops 3+ years of experience using Python. Ability to travel at least 25%. Bachelor s Degree required.

Req ID: 326459 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a BFSI Data and Analytics Project Lead - CITI Bank to join our team in Bangalore, Karn taka (IN-KA), India (IN). "Job Duties: Data & Analytics Project Lead with over 12+ years of experience in BFSI Domain The Data and Analytics Delivery Manager will oversee the successful delivery of the Clients data and analytics projects, ensuring our clients derive maximum value from their data assets. This leadership role involves setting strategy, managing delivery teams, collaborating across functions, and upholding data governance and quality standards. The ideal candidate brings strong technical and business acumen to build and execute data-driven strategies aligned with the Clients mission of transforming their business with data-driven insights. The core responsibilities for the job include the following: Project and Program Oversight: Oversee end-to-end delivery of complex data and analytics projects, ensuring timely, high-quality, and cost-effective outcomes. Establish project governance, risk management, and quality assurance standards for effective project delivery. Monitor project portfolios and allocate resources to optimize productivity across multiple client engagements. Stakeholder Collaboration and Engagement: Serve as the primary liaison between data delivery teams, sales, product, and client-facing teams to ensure client needs are met. Present data strategies, project status, and insights effectively to both technical and non-technical stakeholders, fostering alignment. Drive collaboration with product management and engineering teams to align on data needs and operational goals. Innovation and Technology Adoption: Stay abreast of the latest trends in GenAI, Agentic AI in data engineering, data science, machine learning, and AI to enhance the Clients data capabilities. Must have experience in Cloud Modernization, DWH, Datalake project execution Drive the adoption of advanced analytics tools and technologies to improve data delivery efficiency and solution impact. Assess and recommend new tools, platforms, and partners to continuously improve data solutions. Team Development and Leadership: Recruit, mentor, and retain a high-performing data and analytics team, fostering a culture of collaboration and continuous improvement. Set performance goals, conduct regular evaluations, and provide ongoing feedback to support team growth. Minimum Skills Required: Requirements: Educational Background: Bachelors or Masters degree in Data Science, Computer Science, Business Administration, or a related field. Experience: 15+ years of experience in data and analytics, including at least 5 years in a leadership role with a proven track record in delivery management. Technical Proficiency: Deep understanding of data warehousing, data visualization, data governance, data trust and big data tools (SQL, Python, R, Tableau, Power BI, and cloud platforms like AWS, Azure, or Google Cloud). Must have experience in Cloud Modernization, DWH, Datalake project execution BFSI Knowledge: Mandatory to have worked in BFSI projects delivered Data & Analytics projects to BFSI clients Project Management Expertise: Strong background in Agile, Scrum, or other project management methodologies. Leadership and Communication: Excellent interpersonal and communication skills, with a demonstrated ability to lead, influence, and engage stakeholders at all levels. Analytical and Problem-Solving Skills: Strong analytical mindset with a track record of delivering actionable insights from complex data The Data and Analytics Delivery Manager will oversee the successful delivery of the Clients data and analytics projects, ensuring our retail clients derive maximum value from their data assets. This leadership role involves setting strategy, managing delivery teams, collaborating across functions, and upholding data governance and quality standards. The ideal candidate brings strong technical and business acumen to build and execute data-driven strategies aligned with the Clients mission of transforming retail with data-driven insights."

For more than 40 years, Accelya has been the industry s partner for change, simplifying airline financial and commercial processes and empowering the air transport community to take better control of the future. Whether partnering with IATA on industry-wide initiatives or enabling digital transformation to simplify airline processes, Accelya drives the airline industry forward and proudly puts control back in the hands of airlines so they can move further, faster. Job Summary: The Senior Specialist - Software Development (Artificial Intelligence) leads the design, development, and implementation of AI and machine learning solutions that address complex business challenges. This role requires expertise in AI algorithms, model development, and software engineering best practices. The individual will work closely with cross-functional teams to deliver intelligent systems that enhance business operations and decision-making. Key Responsibilities: AI Solution Design & Development: o Lead the development of AI-driven applications and platforms using machine learning, deep learning, and NLP techniques. o Design, train, and optimize machine learning models using frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn. o Implement advanced algorithms for supervised and unsupervised learning, reinforcement learning, and computer vision. Software Development & Integration: o Develop scalable AI models and integrate them into software applications using languages such as Python, R, or Java. o Build APIs and microservices to enable the deployment of AI models in cloud environments or on-premise systems. o Ensure that AI models are integrated with back-end systems, databases, and other business applications. Data Management & Preprocessing: o Collaborate with data scientists and data engineers to gather, preprocess, and analyze large datasets. o Develop data pipelines to ensure the continuous availability of clean, structured data for model training and evaluation. o Implement feature engineering techniques to enhance the accuracy and performance of machine learning models. AI Model Evaluation & Optimization: o Regularly evaluate AI models using performance metrics (e.g., precision, recall, F1 score) and fine-tune them to improve accuracy. o Perform hyperparameter tuning and cross-validation to ensure robust model performance. o Implement methods for model explainability and transparency (e.g., LIME, SHAP) to ensure trustworthiness in AI decisions. AI Strategy & Leadership: o Collaborate with business stakeholders to identify opportunities for AI adoption and develop project roadmaps. o Provide technical leadership and mentorship to junior AI developers and data scientists, ensuring adherence to best practices in AI development. o Stay current with AI trends and research, introducing innovative techniques and tools to the team. Security & Ethical Considerations: o Ensure AI models comply with ethical guidelines, including fairness, accountability, and transparency. o Implement security measures to protect sensitive data and AI models from vulnerabilities and attacks. o Monitor the performance of AI systems in production, ensuring they operate within ethical and legal boundaries. Collaboration & Cross-Functional Support: o Collaborate with DevOps teams to ensure AI models are deployed efficiently in production environments. o Work closely with product managers, business analysts, and stakeholders to understand requirements and align AI solutions with business needs. o Participate in Agile ceremonies, including sprint planning and retrospectives, to ensure timely delivery of AI projects. Continuous Improvement & Research: o Conduct research and stay updated with the latest developments in AI and machine learning technologies. o Evaluate new tools, libraries, and methodologies to improve the efficiency and accuracy of AI model development. o Drive continuous improvement initiatives to enhance the scalability and robustness of AI systems. Required Skills & Qualifications: Bachelor s degree in Computer Science, Data Science, Artificial Intelligence, or related field. 5+ years of experience in software development with a strong focus on AI and machine learning. Expertise in AI frameworks and libraries (e.g., TensorFlow, PyTorch, Keras, Scikit-learn). Proficiency in programming languages such as Python, R, or Java, and familiarity with AI-related tools (e.g., Jupyter Notebooks, MLflow). Strong knowledge of data science and machine learning algorithms, including regression, classification, clustering, and deep learning models. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying AI models and managing data pipelines. Strong understanding of data structures, databases, and large-scale data processing technologies (e.g., Hadoop, Spark). Familiarity with Agile development methodologies and version control systems (Git). Preferred Qualifications: Master s or PhD in Artificial Intelligence, Machine Learning, or related field. Experience with natural language processing (NLP) techniques (e.g., BERT, GPT, LSTM, Transformer models). Knowledge of computer vision technologies (e.g., CNNs, OpenCV). Familiarity with edge computing and deploying AI models on IoT devices. Certification in AI/ML or cloud platforms (e.g., AWS Certified Machine Learning, Google Professional Data Engineer). What does the future of the air transport industry look like to you? Whether you re an industry veteran or someone with experience from other industries, we want to make your ambitions a reality!

Role Overview We are seeking a highly motivated AI Researcher with a Ph.D. in Mathematics or Physics to join our research team. You will contribute to the development of cutting-edge AI models applied to biological data, collaborating with scientists and engineers to drive discovery and innovation. Develop, analyze, and optimize advanced machine learning models, including deep learning and probabilistic models, tailored to biomedical applications. Conduct theoretical and applied research bridging mathematics/physics with biological systems and data. Collaborate with domain experts to frame complex biological challenges into solvable AI problems. Design and implement experiments to validate model performance on real-world biological datasets (e.g., genomics, proteomics, medical imaging). Publish findings in top-tier journals and conferences, and contribute to patents and IP development. Stay current with the latest research in AI, applied mathematics, and computational biology. Qualifications Ph.D. in Mathematics, Physics, or a closely related field. Strong background in one or more of the following: statistical mechanics, optimization, information theory, Bayesian inference, or numerical modeling. Solid programming skills in Python and experience with machine learning libraries (e.g., PyTorch, TensorFlow, JAX). Ability to work with large-scale, high-dimensional datasets. Excellent problem-solving and mathematical modeling skills. Strong communication skills and the ability to work in an interdisciplinary team. Preferred Qualifications Experience with AI applications in biology, chemistry, or healthcare. Familiarity with bioinformatics tools and biological data formats (e.g., FASTA, VCF). Previous publications or projects in applied AI research.

About ThinkBio.Ai ThinkBio.Ai is revolutionizing the biopharmaceutical and healthcare fields with AI-powered resources. Our five specialized teams clinical, science, AI, software, and managed services work together to develop AI-based solutions that are deployed horizontally (data platforms and workflow tools) and vertically (clinical focus areas such as oncology, autoimmune diseases, and cardiology). Our mission is to help our clients find answers to their toughest questions and to accelerate the application of scientific breakthroughs in the clinic. Position Summary: We are seeking a highly motivated individual with expertise in computational chemistry to join our team as a Postdoctoral Fellow or Scientist, depending on experience level. The position will involve applying advanced computational methods to design, optimize, and analyze small molecules and their interactions with biological targets, contributing to drug discovery and disease modeling efforts. The successful candidate will have a PhD in computational chemistry, cheminformatics, physical chemistry, or a related field, with a deep understanding of molecular modeling, simulations, and structure-activity relationships. Fresh PhD graduates will be hired as Postdoctoral Fellows for a two-year term, while candidates with at least two years of postdoctoral fellowship or industry experience will be considered for a Scientist position. : Apply deep domain knowledge in computational chemistry to support drug discovery projects, including virtual screening, lead optimization, and ADME/Tox predictions. Utilize molecular modeling, molecular dynamics simulations, quantum mechanics, and docking techniques to understand ligand-protein interactions and predict binding affinities. Integrate chemical data with multi-omics data (genomics, transcriptomics, proteomics, and metabolomics) to identify novel therapeutic opportunities and understand disease mechanisms. Work with a team of computational biologists and software experts to develop and apply AI/ML approaches for chemical property prediction and drug design. Stay up to date with the latest advancements in computational chemistry, cheminformatics, and AI-driven drug discovery to incorporate cutting-edge research into project efforts. Collaboration & Project Management: Work closely with cross-functional teams, including medicinal chemists, biologists, computational scientists, and software engineers to enhance translational research efforts. Work with the Scientific Manager to help in project planning, execution, and reporting, ensuring alignment with research objectives. Communicate findings effectively through reports, presentations, and discussions with internal teams and external collaborators. Publish research findings in high-impact, peer-reviewed journals. Present work at scientific conferences, symposia, and internal research meetings. Contribute to grant applications and funding proposals where relevant. Qualifications & Experience: PhD in computational chemistry, cheminformatics, physical chemistry, or a closely related field. Strong expertise in molecular modeling, molecular dynamics simulations, quantum mechanics, and virtual screening techniques. Solid understanding of drug discovery principles, medicinal chemistry concepts, and structure-activity relationships. Proficiency with relevant computational chemistry software (e.g., Schr dinger, OpenEye, GROMACS, Amber) and programming languages (e.g., Python, R). Excellent verbal and written communication skills, with the ability to convey complex chemical and computational concepts clearly. Preferred: Experience with large-scale chemical data analysis and cheminformatics tools. Experience applying machine learning or artificial intelligence to chemical problems. Previous experience working in a multidisciplinary research environment, especially in a biopharmaceutical setting. Other Considerations: Fresh PhD graduates will be hired as Postdoctoral Fellows for a two-year term with an opportunity for promotion to Scientist based on performance. Candidates with at least two years of postdoctoral experience in computational chemistry in either academia or industry will be hired as Scientists with opportunities for career advancement. Why Join Us? Work at the cutting edge of computational chemistry and AI-driven drug discovery. Contribute to groundbreaking disease modeling and omics integration efforts. Collaborate with leading experts in multiple disease domains. Competitive salary, benefits, and career development opportunities. Application Instructions: Interested candidates should submit a cover letter and CV to careers@thinkbioai.com .

About ThinkBio.Ai ThinkBio.Ai is revolutionizing the biopharmaceutical and healthcare fields with AI-powered resources. Our five specialized teams clinical, science, AI, software, and managed services work together to develop AI-based solutions that are deployed horizontally (data platforms and workflow tools) and vertically (clinical focus areas such as oncology, autoimmune diseases, and cardiology). Our mission is to help our clients find answers to their toughest questions and to accelerate the application of scientific breakthroughs in the clinic. Position Summary: We are seeking a highly motivated individual with expertise in computational biology to join our team as a Postdoctoral Fellow or Scientist, depending on experience level. The position will involve developing and applying computational methods to integrate multi-omics data for disease modeling and understanding biological mechanisms. The successful candidate will have a PhD in computational biology, bioinformatics, systems biology, or a related field, with a deep understanding of analyzing large-scale biological datasets. Fresh PhD graduates will be hired as Postdoctoral Fellows for a two-year term, while candidates with at least two years of postdoctoral fellowship or industry experience will be considered for a Scientist position. : Apply deep domain knowledge in computational biology to develop and refine disease models using diverse biological data. Integrate multi-omics data (genomics, transcriptomics, proteomics, and metabolomics) to identify key biological insights and mechanisms. Develop and implement computational pipelines and algorithms for the analysis of complex biological data from public and proprietary sources. Stay up to date with the latest advancements in computational biology, bioinformatics, and systems biology to incorporate cutting-edge research into disease modeling efforts. Collaboration & Project Management: Work closely with cross-functional teams, including disease domain experts, experimental scientists, and software engineers to enhance translational research efforts. Work with the Scientific Manager to help in project planning, execution, and reporting, ensuring alignment with research objectives. Communicate findings effectively through reports, presentations, and discussions with internal teams and external collaborators. Publish research findings in high-impact, peer-reviewed journals. Present work at scientific conferences, symposia, and internal research meetings. Contribute to grant applications and funding proposals where relevant. Qualifications & Experience: PhD in computational biology, bioinformatics, systems biology, or a closely related field. Strong expertise in analyzing and interpreting large-scale biological datasets, including genomics, transcriptomics, proteomics, or metabolomics. Solid understanding of disease biology, with the ability to contextualize computational findings within broader disease mechanisms. Proficiency in programming languages commonly used in computational biology (e.g., Python, R) and experience with relevant software tools and databases. Excellent verbal and written communication skills, with the ability to convey complex computational concepts clearly. Preferred: Experience with machine learning or artificial intelligence techniques applied to biological data. Previous experience working in a multidisciplinary research environment. Familiarity with cloud computing environments and high-performance computing. Other Considerations: Fresh PhD graduates will be hired as Postdoctoral Fellows for a two-year term with an opportunity for promotion to Scientist based on performance. Candidates with at least two years of postdoctoral experience in computational biology/bioinformatics in either academia or industry will be hired as Scientists with opportunities for career advancement. Why Join Us? Work at the cutting edge of computational biology and disease modeling. Contribute to groundbreaking disease modeling and omics integration efforts. Collaborate with leading experts in multiple disease domains. Competitive salary, benefits, and career development opportunities. Application Instructions: Interested candidates should submit a cover letter and CV to careers@thinkbioai.com .

Description & Requirements Job Title: Lead Machine Learning Engineer Location: Bangalore Job Type: Full Time We are seeking a skilled and experienced Data Scientist with expertise in Natural Language Processing (NLP), Python programming, Generative AI, Large Language Models, Machine Learning, Deep Learning, and associated frameworks. The ideal candidate will play a key role in leading the development and implementation of AI and GenAI solutions for our Clients. Key Responsibilities: Design, develop, and implement Natural Language Processing solutions leveraging Python and associated frameworks. Work on Generative AI models, specifically Retrieval Augmented Generation (RAG), Agentic workflows, LLM finetuning etc to create innovative and effective solutions, ensuring alignment with business goals. Utilize Large Language Models for text generation, summarization, and related applications. Development, and implementation of machine learning models and algorithms. Evaluate the LLM and the solutions leveraging LLMs for their effectiveness. Develop and deploy solutions on the Azure/AWS cloud platform, ensuring scalability, reliability, and efficiency. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Deploy machine learning models into production environments and monitor their performance. Document methodologies, processes, and results to ensure reproducibility and knowledge sharing. Mentor and guide ML engineers and data scientists, fostering a collaborative and growth-oriented team culture. Stay up to date with the latest advancements in machine learning, Generative AI and related technologies. Required Skills and Qualifications: Master s or Ph.D. degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 5-7 years of hands-on experience in machine learning, data analysis, or software development. Strong fundamental knowledge of statistical modeling, machine learning, deep learning, Generative AI, natural language processing, computer vision etc. Proficient in programming languages such as Python and development with the opensource machine learning and Generative AI stack like pytorch, keras, scikit-learn, langchain, llamaIndex, chromaDB, qdrant, SQL, MongoDB etc. Experience and reasonable understanding of setting up LLM evaluations, frameworks like deepeval and approaches like LLM-as-a-Juge Experience with developing use-cases related to Conversational AI or Vision AI or AI enabled automation. Handson with software development best practices, including version control (Git), DevOps tools and Agile methodologies. Handson with MLOps/LLMOps tools and toolchain and their implementation for orchestration, automation, monitoring and retraining covering CI/CD/CT. Excellent problem-solving skills and ability to think critically and creatively. Strong communication and presentation skills, with the ability to explain complex concepts to both technical and non-technical audiences. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Preferred Skills and Qualifications: Experience with big data tools and platforms, such as Hadoop, Spark, or Hive Experience with latest technologies in natural language processing or computer vision or Generative AI (RAG, Agentic workflows, multi-modal models etc) Good understanding of Responsible AI aspects like explainability , privacy preservation, bias detection etc. Published research papers or contributions to the AI/NLP community. Important Notice: Recruitment Scams Please be aware that HARMAN recruiters will always communicate with you from an @harman.com email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for . HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Apply