1499 Vertex Jobs - Page 48

Position Summary... What you'll do... About Team: The Data Science team at Walmart Global marketplace is focused on applying the latest research in machine learning, statistics and optimization to solve business problems in areas powering Marketplace growth and operation efficiency for multiple countries within Walmarts global operations. We, build and deploy Machine Learning models and use the latest algorithms and technology to empower business decision-making. We work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem to productize our solutions. What youII Do: As a Distinguished Data Scientist in the Marketplace data sciences team, you'll have the opportunity to - Drive innovative strategic solutions for Marketplace utilizing advanced SOTA AI and ML solutions at large scale and at accelerated pace. Drive data-derived insights by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives Work closely with Directors, Sr. Managers of Data Science, and leaders of Architecture, Engineering, Product ; business teams to drive the Organizational strategy around Marketplace. Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals Mentor and guide a set of Data Scientists, Data Analysts across IDC and US to drive Marketplace growth and operation efficiency using advanced Machine Learning and Gen AI. Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights Build and train AI/ML models for replication for future projects Deploy and maintain the data science solutions Communicate recommendations to business partners and influence future plans based on insights Consult with product and business stakeholders regarding algorithm-based recommendations and be a thought-leader to develop these into business actions. Guides data scientists, senior data scientists and staff data scientists across the domain DS team to ensure on-time delivery of ML products. Proactive collaboration with cross-functional teams on driving the end-to-end content improvement. Research oriented development to find innovative solutions on content improvement, with a strong grasp of multi-lingual and multi-modal foundational models. Guides the data science team members to ensure on-time delivery of ML products Proactive identification of complex business problems that can be solved using advanced ML and Computer Vision, finding opportunities and gaps in the current business domain Evaluates proposed business cases for projects and initiatives Translates business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives, and drives the execution of deliverables Sets relevant deliverables based on the established success criteria and define key metrics to measure progress and effectiveness of the solution Quantifies business impact and ensures regular impact measurement of all ML products in the domain. Identifies and reviews model evaluation metrics based on analytical requirements Ensures testing information is documented and maintained by the team Guide teams to perform model deployment following MLOps guidelines. Play a key role to solve complex problems, pivotal to Walmarts business and drive actionable insights Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems Articulate and present recommendations to business partners and influence plans based on insights Partner and engage with associates in other regions for delivering the best services to customers around the globe Work with the customer-centric mindset to deliver high-quality business-driven analytic solutions. Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving Proactively engages in the external community to build Walmarts brand and learn more about industry practices Promote and support company policies, procedures, mission, values, and standards of ethics and integrity What YouII Bring: Bachelors with > 20 years, Masters > 17 years OR Ph.D. in Comp Science/Statistics/Mathematics with > 14 years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or a related area. Experience of acting as a tech lead for > 10 years. Ability to lead data science projects end to end. Deep experience in building data science solutions at the scale of billions of datapoints across many countries. Strong experience in machine learning, supervised and unsupervised: NLP, Classification, Data/Text Mining, Multi-modal supervised and unsupervised models, Neural Networks, Deep Learning Algorithms, Generative AI models. Experience in analyzing complex problems and translating them into analytical solutions. Deep experience in analyzing complex problems and translating them into analytical solutions. Strong experience in Computer Vision, image processing, object detection, Deep learning. Exposure to image features, edge detection, blur, sharpness, corner detection, face detection, knowledge of how image data is represented. Knowledge of Deep learning, CNNs, and components of CNNs, loss functions for classification, object detection, segmentation. Experience in machine learning: Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization, Recommendation models, deep-learning, Graph ML, Causal inference, Causal ML, Statistical Learning, experimentation Ability to utilize data science solutions outcomes to drive predictive and prescriptive analytics. Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data Ability to scale and deploy data science solutions. Experience in LLMs, VLMs, embedding generation from multimodal data, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance. Strong Experience in Python, PySpark, OpenCV, Python, C++, Keras, tensorflow, pytorch, big data platforms like Hadoop Google Cloud platform, Vertex AI, Kubeflow, model deployment, Kafka streaming, API development ; deployment, CI/CD, MLOPs About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. Thats what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is ''everyone included.'' By fostering a workplace culture where everyone isand feelsincluded, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, were able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions while being welcoming of all people. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field. Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 3: 8 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Primary Location... 4,5,6, 7 Floor, Building 10, Sez, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-2140023 Show more Show less

Job Summary: We are looking for a highly motivated and technically versatile professional to lead, build, and train teams on No-Code/Low-Code AI automation solutions . The ideal candidate will spearhead automation projects, implement scalable AI-driven workflows, and deliver comprehensive training to empower teams and clients. Key Responsibilities: Automation Development & Implementation Design and build end-to-end automation solutions using no-code/low-code platforms (e.g., Power Automate, Zapier, Make, Airtable, Glide, AppSheet). Integrate AI tools (e.g., OpenAI API, ChatGPT, Microsoft Copilot, Google Vertex AI) with automation workflows. Automate business processes including CRM, HR, finance, marketing, and customer support. Ensure solutions are scalable, secure, and compliant with industry standards. Technical Leadership & Project Management Lead automation projects from concept to deployment. Collaborate with cross-functional teams to understand business needs and convert them into automation solutions. Define best practices, governance models, and documentation standards for no-code/AI projects. Evaluate and implement new tools in the no-code/AI ecosystem. Training & Enablement Develop training programs, learning materials, and documentation for internal teams or external clients. Conduct live sessions, hands-on workshops, and onboarding sessions on no-code platforms and AI integrations. Mentor junior developers and business users on no-code thinking and automation strategies. Stay up-to-date with platform updates and AI trends, sharing insights with the team. Required Skills and Qualifications: Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience). 2-3 years of experience with automation tools such as Power Automate, Zapier, Integromat, Airtable, Notion, etc. Proficiency in integrating APIs and AI tools like ChatGPT, GPT-4, LangChain, Hugging Face models, etc. Strong problem-solving and process mapping skills. Experience in delivering technical training or workshops. Excellent communication and stakeholder management skills. Working Location: Mohali(Punjab) Job Type: Full-time Pay: Up to ₹50,000.00 per month Benefits: Health insurance Schedule: Day shift Monday to Friday Morning shift Experience: AI Automation: 2 years (Preferred) Work Location: In person

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India; Mumbai, Maharashtra, India . Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. 6 years of experience in modernizing legacy applications and applying cloud native development methodologies and tools, including container technology. Experience with software development, code technology migrations programs, code version migrations. Experience with frameworks such as springboot, Model-View-Controller (MVC) frameworks. Experience in one or more languages/frameworks: Python, Java, GoLang, JavaScript, Typescript, PyTorch, and Jupyter/Colab notebooks. Preferred qualifications: Experience with modern software development life-cycle methodologies and tools including commonly used IDEs, CI/CD, container orchestration and operations. Experience in Google Cloud Platform (GCP) and Vertex AI. Ability to create quick prototypes/demos, and articulate this to a customer audience, while integrating with existing systems. Ability to engage with C-level or executive business leaders and influence decisions. Excellent consulting skills, with the ability to deliver technical presentations while leading detailed discovery and planning sessions that are aligned with the customer with defined scope and success criteria. About The Job The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. In this role, you will work with technical business teams as a Gemini Code Assist subject matter expert. You will help customers and partners in understanding the power of Gemini code assist, explaining technical differentiators, helping customers deploy the tool in the development eco-system, building use-cases for Artificial Intelligence (AI) assisted software development tooling like legacy code migration, version migration etc., and problem-solving any potential roadblocks and day-to-day software development life-cycle. You will work with our top strategic partners and their customers and internally with a cross-functional team across Google product engineering, field sales and developer relations teams to drive the adoption of AI in Application innovation thereby accelerating time to value for our customers and product development to shape the future of the Gemini Code Assist. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Work with the teams to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers. Provide expertise on GCA and build technical relationships with Google’s strategic partners delivering product and solution briefings, proof-of-concepts, and partner directly with product management to prioritize capabilities impacting partners’ adoption of Gemini Code Assistant. Specialize in Gemini Code Assist (GCA), with a focus on integrating GCA capabilities within existing cloud services to help partners build, deploy, and operate applications faster and more efficiently throughout the software development life cycle. Travel to partner/customer sites, conferences, and other related events as needed to share knowledge, network with peers, grow business and stay current on the latest trends. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India; Mumbai, Maharashtra, India . Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. 6 years of experience in modernizing legacy applications and applying cloud native development methodologies and tools, including container technology. Experience with software development, code technology migrations programs, code version migrations. Experience with frameworks such as springboot, Model-View-Controller (MVC) frameworks. Experience in one or more languages/frameworks: Python, Java, GoLang, JavaScript, Typescript, PyTorch, and Jupyter/Colab notebooks. Preferred qualifications: Experience with modern software development life-cycle methodologies and tools including commonly used IDEs, CI/CD, container orchestration and operations. Experience in Google Cloud Platform (GCP) and Vertex AI. Ability to create quick prototypes/demos, and articulate this to a customer audience, while integrating with existing systems. Ability to engage with C-level or executive business leaders and influence decisions. Excellent consulting skills, with the ability to deliver technical presentations while leading detailed discovery and planning sessions that are aligned with the customer with defined scope and success criteria. About The Job The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. In this role, you will work with technical business teams as a Gemini Code Assist subject matter expert. You will help customers and partners in understanding the power of Gemini code assist, explaining technical differentiators, helping customers deploy the tool in the development eco-system, building use-cases for Artificial Intelligence (AI) assisted software development tooling like legacy code migration, version migration etc., and problem-solving any potential roadblocks and day-to-day software development life-cycle. You will work with our top strategic partners and their customers and internally with a cross-functional team across Google product engineering, field sales and developer relations teams to drive the adoption of AI in Application innovation thereby accelerating time to value for our customers and product development to shape the future of the Gemini Code Assist. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Work with the teams to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers. Provide expertise on GCA and build technical relationships with Google’s strategic partners delivering product and solution briefings, proof-of-concepts, and partner directly with product management to prioritize capabilities impacting partners’ adoption of Gemini Code Assistant. Specialize in Gemini Code Assist (GCA), with a focus on integrating GCA capabilities within existing cloud services to help partners build, deploy, and operate applications faster and more efficiently throughout the software development life cycle. Travel to partner/customer sites, conferences, and other related events as needed to share knowledge, network with peers, grow business and stay current on the latest trends. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less

Job Title: Full Stack GenAI Lead Location: Gurgaon Job Summary: We are seeking a Full stack Lead Developer with strong expertise in Python, Angular, and Java, along with hands-on experience or exposure to Agentic AI Framework or Generative AI (GenAI) technologies. The ideal candidate will be responsible for designing and developing end-to-end solutions, leading development teams, and integrating GenAi capabilities into scalable applications. Knowledge of Agile/Scrum methodologies and SDLC, release/change management Key Responsibilities: Work closely with cross-functional teams to gather and refine requirements, and align technical solutions with business goals. Sound knowledge of Angular and Python , AWS bedrock, Lambda, Step function Implement and manage CI/CD pipelines optimized for GenAI model deployment. Integrate GenAI models (LLMs, etc.) into existing and new software systems. Ensure data pipelines for GenAI model training and inference are efficient and reliable. Troubleshoot and resolve issues across the full stack and GenAI integrations. Stay current with GenAI advancements and full-stack technologies Proficiency in multiple programming languages (e.g., Python, JavaScript, Java). Strong experience with front-end frameworks (e.g., React, Angular, Vue.js). Solid back-end development skills (e.g., Node.js, Python frameworks like Flask/Django, Spring). Experience with databases (SQL, NoSQL). Familiarity with cloud platforms (AWS). Understanding of SDLC principles and agile methodologies. Hands-on experience integrating AI/ML models into applications. Understanding of Generative AI concepts (LLMs, transformers, etc.).work with Agentic AI framework or other Gen AI models/APIs (e.g., OpenAI, Hugging Face, Google Vertex AI). Excellent problem-solving and analytical skills. Strong communication and leadership abilities. Show more Show less

JOB DESCRIPTION – PRINCIPAL About Us Established in 2004, we are a chain of schools offering national and international curriculums across 39 schools pan India. With our well-researched curriculum, modern teaching methodologies and wide range of extra-curricular activities and facilities we constantly strive to enthuse our students with fascinating learning experiences every single day. Role Principal Department Principal’s Office Designation Principal Band and Grade L1 Location School Primary Purpose The primary purpose of Principal should be to maintain high standard of academic performance. Must be a strategic leader for school’s improvement and development. Should effectively guide and motivate staff to drive their best as per the VIBGYOR philosophy. Key Responsibilities Financial Operation: Ensure proper preparation of the School's Budget and management of School's P&L Ensure timely collection of Fee and monitor Fee receivables Must ensure cost optimization by monitoring vendors and other payments. Academic Operation: Ensure Optimum utilization of Teaching Staff by giving required WL and delegating additional responsibilities Ensure statutory regulations as per Board and internal process is followed Should ensure timely compliance of board requirements Ensure timely coordination and correspondence with Government authorities and Boards Ensure effective implementation of Curriculum and other activities as per the guidelines shared by VERTEX team Ensure school events are conducted effectively Manage PTA and other Parent Engagement Activities effectively. Handle Parent concerns and feedback effectively. Should conduct Teacher / Coordinator observations and giving constructive feedback Ensure observations by Coordinators/ VP are done as per schedule Must send reports to VERTEX Academics as required Oversee Sports and Performing Arts Should promote registration for Value Added services Admin Operation: To Coordinate and supervise the administration activities. Ensure proper audit is conducted, effective feedback is generated while meeting the compliance. To ensure all documents are maintained neatly and correctly by respective departments. Must have active involvement in admission and marketing planning Should participate in planning of new projects in discussion with the management. Co-ordinate with the various departments In CO for the smooth functioning of school operations. Should offer solutions and suggestions regarding compliance to various authorities. Must notify immediately the Board, and appropriate personnel and agencies when there is evidence of child abuse, child neglect, severe medical or social conditions etc. Ensure effective communication with students, staff and parents are maintained Ensure and guide the Relationship Cell team to resolve parent concerns/queries effectively. Ensure all SRs are closed effectively within TAT Ensure implementation of any other assignments as directed by the managing committee HR Operation: Ensure that there is maximum adherence to HR Policies. Ensure the Human Resources team recruits efficient resources within the prescribed time frame. Should effectively control attrition by facilitating a conducive work environment for the school staff. Ensure teaching and non-teaching staff are taken through induction program at regular intervals Identify talents, grooming and training to shoulder further responsibilities Handle Staff Grievance and organizing Staff engagement activities Admission Management: Ensure effective Planning of LC analysis, retention of LCs & Student Projection Ensure that the admission targets for the academic year are met by effectively support the RE team. Effectively lead the admission process at the center whereby ensuring that USPs associated with the VIBGYOR brand is percolated at the parent level. Ensure admission targets are taken care of by effectively training and mentorship of the Relationship Cell team. Desired Qualification B.Ed. /M.Ed. in any specialization. Experience 10 – 15 years Expected Competencies Situational Adaptability Compassion and patience Customer Service Proactive, ethical, and responsible nature Accountability Decision Making Result Driven Communication Interpersonal Skills and effective leadership Collaboration Optimizing work processes Time management Critical Thinking Skills and Knowledge skilled in leadership, relationship-building, organization, communication, and goal setting Show more Show less

AI Software Engineer Job Summary: We are seeking a highly skilled and innovative AI Solutions Specialist to design, develop, and deploy AI-driven solutions that address complex business problems. The ideal candidate will work closely with cross-functional teams to understand business requirements, evaluate AI technologies, and implement end-to-end intelligent systems using machine learning, deep learning, and other AI techniques. Key Responsibilities: Lead the evolution of the Data Engineering, Machine Learning and AI capabilities through the solution lifecycle Collaborate with project teams, data science teams and other development teams to drive the technical roadmap and guide development and implementation of new data driven business solutions. Collaborate with stakeholders to identify opportunities for AI and ML applications. Design scalable AI solutions that integrate with existing infrastructure and processes. Develop, train, and optimize machine learning models and AI algorithms. Evaluate third-party AI tools and APIs for integration where applicable. Create technical specifications, architecture documents, and proof-of-concept prototypes. Work with data engineering teams to ensure data quality, accessibility, and readiness. Monitor performance of AI models in production and iterate for improvement. Ensure ethical and responsible AI practices, including explainability, bias mitigation, and privacy. Present solutions and progress to technical and non-technical stakeholders. Stay updated with AI research and industry trends to propose innovative solutions. Strong knowledge of machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn. Proficiency in Python and experience with AI development libraries and tools. Understanding of cloud AI/ML services (e.g., AWS SageMaker, Azure ML, Google Vertex AI AWS, Databricks, Snowflake, Python, Pyspark, Docker, Kubernetes, Terraform, Ansible, Prometheus, Grafana, ELK, Hadoop, Spark, Kafka, Elastic Search, SQL, NoSQL databases, Postgres, Cassandra, Salesforce). Experience with data preprocessing, feature engineering, and model evaluation techniques. Excellent problem-solving, communication, and stakeholder management skills. Experience with generative AI (e.g., GPT, diffusion models) or LLMs. Familiarity with MLOps practices and deployment pipelines (Docker, CI/CD, MLflow). Background in natural language processing (NLP), computer vision, or reinforcement learning. Publications, patents, or open-source contributions in AI/ML are a plus. Deep understanding of Junos OS architecture, features, and operational nuances. Experience: Minimum 6–8 years in data and analytics with expertise across AI, ML, data platforms, BI tools, and data engineering Experience with leading and architecting and building infrastructure to manage the Data/AI model lifecycle Deep understanding of technology trends, architectures and integrations related to Generative AI Hands-on experience with advanced analytics, predictive modelling, NLP, information retrieval, deep learning etc Communication Skills: Excellent verbal and written communication skills, with the ability to explain technical concepts clearly and concisely. Show more Show less

JOB DESCRIPTION – PRINCIPAL About Us Established in 2004, we are a chain of schools offering national and international curriculums across 39 schools pan India. With our well-researched curriculum, modern teaching methodologies and wide range of extra-curricular activities and facilities we constantly strive to enthuse our students with fascinating learning experiences every single day. Role Principal Department Principal’s Office Designation Principal Band and Grade L1 Location School Primary Purpose The primary purpose of Principal should be to maintain high standard of academic performance. Must be a strategic leader for school’s improvement and development. Should effectively guide and motivate staff to drive their best as per the VIBGYOR philosophy. Key Responsibilities Financial Operation: Ensure proper preparation of the School's Budget and management of School's P&L Ensure timely collection of Fee and monitor Fee receivables Must ensure cost optimization by monitoring vendors and other payments. Academic Operation: Ensure Optimum utilization of Teaching Staff by giving required WL and delegating additional responsibilities Ensure statutory regulations as per Board and internal process is followed Should ensure timely compliance of board requirements Ensure timely coordination and correspondence with Government authorities and Boards Ensure effective implementation of Curriculum and other activities as per the guidelines shared by VERTEX team Ensure school events are conducted effectively Manage PTA and other Parent Engagement Activities effectively. Handle Parent concerns and feedback effectively. Should conduct Teacher / Coordinator observations and giving constructive feedback Ensure observations by Coordinators/ VP are done as per schedule Must send reports to VERTEX Academics as required Oversee Sports and Performing Arts Should promote registration for Value Added services Admin Operation: To Coordinate and supervise the administration activities. Ensure proper audit is conducted, effective feedback is generated while meeting the compliance. To ensure all documents are maintained neatly and correctly by respective departments. Must have active involvement in admission and marketing planning Should participate in planning of new projects in discussion with the management. Co-ordinate with the various departments In CO for the smooth functioning of school operations. Should offer solutions and suggestions regarding compliance to various authorities. Must notify immediately the Board, and appropriate personnel and agencies when there is evidence of child abuse, child neglect, severe medical or social conditions etc. Ensure effective communication with students, staff and parents are maintained Ensure and guide the Relationship Cell team to resolve parent concerns/queries effectively. Ensure all SRs are closed effectively within TAT Ensure implementation of any other assignments as directed by the managing committee HR Operation: Ensure that there is maximum adherence to HR Policies. Ensure the Human Resources team recruits efficient resources within the prescribed time frame. Should effectively control attrition by facilitating a conducive work environment for the school staff. Ensure teaching and non-teaching staff are taken through induction program at regular intervals Identify talents, grooming and training to shoulder further responsibilities Handle Staff Grievance and organizing Staff engagement activities Admission Management: Ensure effective Planning of LC analysis, retention of LCs & Student Projection Ensure that the admission targets for the academic year are met by effectively support the RE team. Effectively lead the admission process at the center whereby ensuring that USPs associated with the VIBGYOR brand is percolated at the parent level. Ensure admission targets are taken care of by effectively training and mentorship of the Relationship Cell team. Desired Qualification B.Ed. /M.Ed. in any specialization. Experience 10 – 15 years Expected Competencies Situational Adaptability Compassion and patience Customer Service Proactive, ethical, and responsible nature Accountability Decision Making Result Driven Communication Interpersonal Skills and effective leadership Collaboration Optimizing work processes Time management Critical Thinking Skills and Knowledge skilled in leadership, relationship-building, organization, communication, and goal setting Show more Show less

JOB DESCRIPTION – PRINCIPAL About Us Established in 2004, we are a chain of schools offering national and international curriculums across 39 schools pan India. With our well-researched curriculum, modern teaching methodologies and wide range of extra-curricular activities and facilities we constantly strive to enthuse our students with fascinating learning experiences every single day. Role Principal Department Principal’s Office Designation Principal Band and Grade L1 Location School Primary Purpose The primary purpose of Principal should be to maintain high standard of academic performance. Must be a strategic leader for school’s improvement and development. Should effectively guide and motivate staff to drive their best as per the VIBGYOR philosophy. Key Responsibilities Financial Operation: Ensure proper preparation of the School's Budget and management of School's P&L Ensure timely collection of Fee and monitor Fee receivables Must ensure cost optimization by monitoring vendors and other payments. Academic Operation: Ensure Optimum utilization of Teaching Staff by giving required WL and delegating additional responsibilities Ensure statutory regulations as per Board and internal process is followed Should ensure timely compliance of board requirements Ensure timely coordination and correspondence with Government authorities and Boards Ensure effective implementation of Curriculum and other activities as per the guidelines shared by VERTEX team Ensure school events are conducted effectively Manage PTA and other Parent Engagement Activities effectively. Handle Parent concerns and feedback effectively. Should conduct Teacher / Coordinator observations and giving constructive feedback Ensure observations by Coordinators/ VP are done as per schedule Must send reports to VERTEX Academics as required Oversee Sports and Performing Arts Should promote registration for Value Added services Admin Operation: To Coordinate and supervise the administration activities. Ensure proper audit is conducted, effective feedback is generated while meeting the compliance. To ensure all documents are maintained neatly and correctly by respective departments. Must have active involvement in admission and marketing planning Should participate in planning of new projects in discussion with the management. Co-ordinate with the various departments In CO for the smooth functioning of school operations. Should offer solutions and suggestions regarding compliance to various authorities. Must notify immediately the Board, and appropriate personnel and agencies when there is evidence of child abuse, child neglect, severe medical or social conditions etc. Ensure effective communication with students, staff and parents are maintained Ensure and guide the Relationship Cell team to resolve parent concerns/queries effectively. Ensure all SRs are closed effectively within TAT Ensure implementation of any other assignments as directed by the managing committee HR Operation: Ensure that there is maximum adherence to HR Policies. Ensure the Human Resources team recruits efficient resources within the prescribed time frame. Should effectively control attrition by facilitating a conducive work environment for the school staff. Ensure teaching and non-teaching staff are taken through induction program at regular intervals Identify talents, grooming and training to shoulder further responsibilities Handle Staff Grievance and organizing Staff engagement activities Admission Management: Ensure effective Planning of LC analysis, retention of LCs & Student Projection Ensure that the admission targets for the academic year are met by effectively support the RE team. Effectively lead the admission process at the center whereby ensuring that USPs associated with the VIBGYOR brand is percolated at the parent level. Ensure admission targets are taken care of by effectively training and mentorship of the Relationship Cell team. Desired Qualification B.Ed. /M.Ed. in any specialization. Experience 10 – 15 years Expected Competencies Situational Adaptability Compassion and patience Customer Service Proactive, ethical, and responsible nature Accountability Decision Making Result Driven Communication Interpersonal Skills and effective leadership Collaboration Optimizing work processes Time management Critical Thinking Skills and Knowledge skilled in leadership, relationship-building, organization, communication, and goal setting Show more Show less

Skill required: Digital Inside Sales - Inside Sales Designation: Delivery Lead Manager Qualifications: Any Graduation Years of Experience: 13 to 18 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? This position is responsible for leading the drive of product adoption, deliver high levels of business value, and cultivate deep internal and external customer relationships. This role will assist with all aspects of renewals, account management, adoption, customer success planning, and expansion sales. The role drives overall customer satisfaction including reporting and analytics of revenue impact tied to client success, client testimonials, and client references. ESSENTIAL JOB FUNCTIONS AND RESPONSIBILITIES: Ensure that employees are connecting and aligning their work and goals to the Enterprise Objectives. Drive adoption of Winning Way behaviors. Support and drive attainment of core company metrics. Align with and ensure Customer Success Management team is aligned with goals of Chief Customer Officer and Customer Center of Excellence team. Work with Zone and Line of Business Owners to ensure alignment with operational strategy and goals. Transform and evolve the Customer Success Management Team to align with operational strategy and goals. Collaborate and align with Line of Business Owners, Product Managers and Product Owners on roadmap deliverables and messaging so that the Manager of CSM can train and educate the team on upcoming releases and roadmaps. Personally manage escalations from dire Provide support for lead/opportunity generation: conduct calls / send emails / connect via social media to generate leads, schedule first meetings for sales/pre-sales, conduct customer surveys, identify participants for events, and bring awareness of the product or offering on behalf of sales/marketing teams. What are we looking for? KNOWLEDGE, SKILLS AND ABILITIES: Continually seeks opportunities to increase customer satisfaction and deepen client relationships. Excellent technical aptitude with the ability to analyze and decipher large amounts of customer data. Excellent communication skills, including issue tracking, triaging and crisis management. Ability to efficiently manage multiple customer projects simultaneously. Ability to communicate with internal and external customers and all levels of management. KNOWLEDGE, SKILLS AND ABILITIES: Continually seeks opportunities to increase customer satisfaction and deepen client relationships. Excellent technical aptitude with the ability to analyze and decipher large amounts of customer data. Excellent communication skills, including issue tracking, triaging and crisis management. Ability to efficiently manage multiple customer projects simultaneously. Ability to communicate with internal and external customers and all levels of management. Roles and Responsibilities: Ensure that employees are connecting and aligning their work and goals to the Enterprise Objectives. Drive adoption of Winning Way behaviors. Support and drive attainment of core company metrics. Align with and ensure Customer Success Management team is aligned with goals of Chief Customer Officer and Customer Center of Excellence team. Work with Zone and Line of Business Owners to ensure alignment with operational strategy and goals. Transform and evolve the Customer Success Management Team to align with operational strategy and goals. Collaborate and align with Line of Business Owners, Product Managers and Product Owners on roadmap deliverables and messaging so that the Manager of CSM can train and educate the team on upcoming releases and roadmaps. Personally manage escalations from direct reports and follow a methodical escalation process to leadership Lead the development of the relationship of the CSM team as the trusted advisor relationship with customer stakeholders and executive sponsors to drive product adoption and ensure they are leveraging the solution to achieve full business value. Act as an extension of the customer, being a proactive advocate within Vertex and the customer to accomplish defined objectives. This includes working with the various internal Support teams. Proactively grow the breadth and depth of strategic relationships with customers. Identify opportunities for continuous improvement. Define and oversee lifecycle processes/touch points, including QBR process, "listening" points (e.g. on usage, NPS), and measuring business value, penetration, usage, and adoption. Partner with internal stakeholders (from executive to supervisor) to align account activities with the customer’s business case and strategy. Responsible to help identify data driven revenue expansion within the customer base throughout all customer lifecycles. Work with leadership to identify annual targets Responsible for change management. Closely managing and nurturing accounts to identify and eliminate risk of attrition through regular touch points (conference calls, client visits, webinars, etc.). Establishing trusted relationships with customers, sustaining relationships through the full life cycle of the subscription ensuring their success. Any Graduation Show more Show less

Role : MLOps Engineer Location - Coimbatore Mode of Interview - In Person Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities: Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps maturity in the organization. Proactively introduce a modern, agile and automated approach to Data Science. Conduct internal training and presentations about MLOps tools’ benefits and usage. Required experience and qualifications: Wide experience with Kubernetes. Experience in operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube). Good understanding of ML and AI concepts. Hands-on experience in ML model development. Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command line toolkit. Experience in CI/CD/CT pipelines implementation. Experience with cloud platforms - preferably AWS - would be an advantage.

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. We are seeking an innovative and highly skilled Lead Generative AI (GenAI) Engineer to spearhead the design, development, and deployment of advanced AI-powered solutions. In this role, you will lead a team of engineers and data scientists to harness cutting-edge Generative AI technologies and implement them to solve complex business problems, enhance user experiences, and drive innovation. This role combines deep technical expertise, leadership, and a strong understanding of AI trends and tools. Key Responsibilities Technical Leadership: Lead the end-to-end design and implementation of Generative AI solutions. Provide technical guidance and mentorship to engineers and data scientists working on GenAI projects. Stay updated with the latest trends, research, and advancements in Generative AI and Large Language Models (LLMs). Solution Development: Architect, train, and fine-tune state-of-the-art LLMs and generative AI models Develop and optimize pipelines for prompt engineering, retrieval-augmented generation (RAG), and domain-specific fine-tuning. Develop and deploy generative AI models, particularly focusing on ChatGPT, using Python on Azure or AWS Platform or .Net on Azure platform Ensure scalability, performance, and security of AI solutions deployed in production. Integration and Deployment: API Development: Ability to define and deliver API access for GenAI services, facilitating integration with other systems and applications. Collaborate with software engineering teams to integrate GenAI solutions into enterprise applications and services. Utilize cloud platforms (e.g., Azure, AWS, or GCP) to deploy and manage AI models and APIs. Leverage MLOps practices for continuous model monitoring, retraining, and improvement. Data Strategy and Preparation: Collaborate with data engineering teams to ensure high-quality data acquisition, preprocessing, and augmentation for model training and fine-tuning. Implement data governance and privacy practices in line with organizational policies. Innovation and Research: Experiment with new generative AI techniques, such as multimodal AI, reinforcement learning with human feedback (RLHF), and active learning. Evaluate and recommend AI frameworks, libraries, and platforms for project requirements. Stakeholder Collaboration: Work closely with product managers, business stakeholders, and UX designers to define AI-powered product features and use cases. Present technical concepts, project progress, and AI capabilities to non-technical audiences. Key Requirements Technical Skills: Hands-on experience with cloud platforms and services for AI/ML, such as Azure AI Services, Azure Machine Learning, AWS Bedrock, or Google Vertex AI. Hands on experience in any of LLMs such as OpenAI’s ChatGPT Models , Gemini, Llama 2 ,Claude 2 ,Grok Hands on experience in any of the agentic frameworks like LangChain, Semantic kernel, AutoGen, CrewAi Hands on experience using any of vector database like Chroma, Pinecone, Weaviate, Faiss Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF) Strong expertise in LLMs and generative AI frameworks like OpenAI, Hugging Face Transformers, or similar platforms. Deep understanding of natural language processing (NLP) concepts, including tokenization, embeddings, and sequence-to-sequence models. Proficiency in Python and libraries such as TensorFlow, PyTorch, and Scikit-learn. Experience in CI/CD pipeline management and automation tools, particularly within the Azure DevOps environment. Knowledge of containerization (e.g., Docker) and orchestration tools is also important Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or Docker. Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred). 8+ years of experience in AI/ML engineering, with 2+ years specifically in Generative AI. Minimum of 2 years of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science Proven track record of leading AI projects from inception to production. Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF). Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, AWS Certified Machine Learning). Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy Orion Systems Integrators, LLC And Its Subsidiaries And Its Affiliates (collectively, “Orion,” “we” Or “us”) Are Committed To Protecting Your Privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) Explains What information we collect during our application and recruitment process and why we collect it; How we handle that information; and How to access and update that information. Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy. Show more Show less

About Spyne At Spyne, we are transforming how cars are marketed and sold with cutting-edge Generative AI. What started as a bold idea—using AI-powered visuals to help auto dealers sell faster online—has now evolved into a full-fledged, AI-first automotive retail ecosystem. Backed by $16M in Series A funding from Accel, Vertex Ventures, and other top investors, we’re scaling at breakneck speed: Launched industry-first AI-powered Image, Video & 360° solutions for Automotive dealers Launching Gen AI powered Automotive Retail Suite to power Inventory, Marketing, CRM for dealers Onboarded 1500+ dealers across US, EU and other key markets in the past 2 years of launch Gearing up to onboard 10K+ dealers across global market of 200K+ dealers 150+ members team with near equal split on R&D and GTM Learn more about our products: Spyne AI Products - StudioAI , RetailAI Series A Announcement - CNBC-TV18 , Yourstory Role Overview We’re hiring a Head of Marketing to lead Spyne’s global marketing engine across product, performance, brand, and community. This is a senior leadership role owning everything from pipeline creation to category definition . You’ll lead a high-performance team, partner closely with Sales, Product, and CS, and build the strategy and execution muscle to scale Spyne from $5M to $20M+ ARR. 📍 Location : Gurugram (Work from Office, 5 days a week) 🖥 Role : Full-time. Head of Marketing Key Responsibilities 1. Product Marketing Own positioning, messaging, and value propositions across product lines Lead product launches and GTM in partnership with Product and Sales Create persona-driven collateral: decks, one-pagers, use cases, and battlecards Conduct competitor benchmarking and win/loss analysis Drive in-product comms and feature adoption strategies 2. Demand Generation Own global pipeline generation through paid, SEO, content, ABM, and email Build full-funnel campaigns optimized for MQL, SQL, and ARR targets Set up attribution, analytics, and campaign automation using HubSpot (or equivalent) Partner with Sales to improve MQL→SQL conversion and feedback loops Hire and lead performance marketers, campaign managers, and content specialists 3. Brand, PR & Communications Define and evolve Spyne’s brand in U.S., EU, and India markets Lead PR for launches, funding, partnerships, and founder features Build and manage media relationships, PR agencies, and analyst networks Drive thought leadership via content, panels, podcasts, and opinion articles 4. Community Building (India Focus) Grow an active dealer community through meetups, webinars, forums Launch dealer WhatsApp groups, newsletters, and ambassador programs Build India's first auto retail exhibition modeled after NADA/NIADA Turn top dealers into advocates, speakers, and brand champions 5. Content & Social Media Manage content calendar aligned with GTM, product, and brand goals Own presence across LinkedIn, YouTube, Twitter/X, Instagram Produce high-quality short-form content: videos, reels, case studies Track engagement, experiment with formats, and optimize for reach 6. Marketing Strategy & Leadership Define marketing OKRs and drive alignment across GTM teams Build and scale a world-class marketing org across India and the U.S. Hire top talent across product marketing, growth, content, and events Own marketing budget and drive ROI across all functions 7. Category Creation & Education Position Spyne as the category leader in AI-powered Auto Retail Launch market education campaigns: reports, guides, state-of-industry content Build ecosystem partnerships with dealer networks and auto platforms Drive engagement with influencers, analysts, and industry associations 8. Customer Marketing Turn customers into evangelists via case studies, testimonials, events Build a reference engine to accelerate sales cycles Launch referral and upsell campaigns to boost retention and ACV Collaborate with CS to convert promoters into active brand assets Ideal Candidate You’re a great fit if you’ve… Built and scaled full-funnel marketing engines—owning brand, product marketing, and demand generation Launched GTM for new products or markets, especially in the U.S. or other developed geographies Owned a pipeline target and delivered measurable revenue impact from marketing-led efforts Run integrated campaigns across paid, content, SEO, events, and email—and tracked attribution to the dollar Written positioning and messaging from scratch, and equipped Sales with pitch decks, one-pagers, and battlecards Built organic momentum—through campaigns, content, community, or thought leadership Created buzz and press by crafting angles journalists care about, and getting top-tier coverage without relying solely on agencies Rolled up your sleeves to get from zero to 100 engaged users in a vertical, using storytelling, hustle, and listening Built or nurtured customer communities or advocacy programs—whether it was called that or not Managed teams and agencies, but are just as comfortable writing a tweet, editing a blog, or drafting a press pitch yourself You’re Likely not a fit If You… Need a large team or agency to execute the basics View marketing as “support” rather than a revenue-driving function Believe brand = aesthetics and demand gen = paid ads Aren’t hands-on with tools like HubSpot, GA4, LinkedIn Ads, Canva, etc. Struggle to switch gears between execution, strategy, and cross-functional leadership Preferred background: 8–12 years of marketing experience, ideally in B2B SaaS or Auto/Mobility Tech Tier 1 MBA with post MBA experience in Marketing & Branding preferred, but not necessary—execution and outcomes matter more Proven track record of owning ARR-influencing metrics, not just vanity metrics Experience across Product Marketing, Demand Gen, and Brand/Comms Prior exposure to the U.S./EU markets, either through campaign execution or GTM ownership Strong portfolio of launches, campaigns, content, and outcomes Experience building or scaling a marketing org from early to growth stage Bonus: Experience in automotive, marketplace, or dealership ecosystem Why Spyne? Culture: High-ownership, zero-politics, execution-first Growth: $5M to $20M ARR trajectory Learning: Work with top GTM leaders and startup veterans Exposure: Global exposure across U.S., EU, and India markets Compensation: Competitive base + performance incentives + stock options Show more Show less

We’re hiring a Senior ML Engineer (MLOps) — 3-5 yrs Location: Chennai What you’ll do Tame data → pull, clean, and shape structured & unstructured data. Orchestrate pipelines → Airflow / Step Functions / ADF… your call. Ship models → build, tune, and push to prod on SageMaker, Azure ML, or Vertex AI. Scale → Spark / Databricks for the heavy lifting. Automate everything → Docker, Kubernetes, CI/CD, MLFlow, Seldon, Kubeflow. Pair up → work with engineers, architects, and business folks to solve real problems, fast. What you bring 3+ yrs hands-on MLOps (4-5 yrs total software experience). Proven chops on one hyperscaler (AWS, Azure, or GCP). Confidence with Databricks / Spark , Python, SQL, TensorFlow / PyTorch / Scikit-learn. You debug Kubernetes in your sleep and treat Dockerfiles like breathing. You prototype with open-source first, choose the right tool, then make it scale. Sharp mind, low ego, bias for action. Nice-to-haves Sagemaker, Azure ML, or Vertex AI in production. Love for clean code, clear docs, and crisp PRs. Why Datadivr? Domain focus: we live and breathe F&B — your work ships to plants, not just slides. Small team, big autonomy: no endless layers; you own what you build. 📬 How to apply Shoot your CV + a short note on a project you shipped to careers@datadivr.com or DM me here. We reply to every serious applicant. Know someone perfect? Please share — good people know good people. Show more Show less

Client- UK Based client Availability: 8 hours per day Shift: 2 PM IST to 11 PM IST Exp -10+ Yrs Mode: WFH ( Freelancing) If you're interested, kindly share your CV-thara.dhanaraj@excelenciaconsulting.com/ Call7358452333 Key Responsibilities: Design, build, and maintain ML infrastructure on GCP using tools such as Vertex AI, GKE, Dataflow, BigQuery, and Cloud Functions. Develop and automate ML pipelines for model training, validation, deployment, and monitoring using tools like Kubeflow Pipelines, TFX, or Vertex AI Pipelines. Work with Data Scientists to productionize ML models and support experimentation workflows. Implement model monitoring and alerting for drift, performance degradation, and data quality issues. Manage and scale containerized ML workloads using Kubernetes (GKE) and Docker. Set up CI/CD workflows for ML using tools like Cloud Build, Bitbucket, Jenkins, or similar. Ensure proper security, versioning, and compliance across the ML lifecycle. Maintain documentation, artifacts, and reusable templates for reproducibility and auditability. Having GCP MLE Certification is Plus Show more Show less

GURUGRAM, 122001, IN Job details Work flexibility: Hybrid Req ID: R527295 Employee type: Full Time Job category: Information Systems Travel: 20% Relocation: No Related content Looking for a place that values your unique talents? Discover Stryker's award-winning culture. We are proud to offer you our total rewards package which includes bonuses, healthcare, insurance benefits, retirement programs, wellness programs, as well as service and performance awards – not to mention various social and recreational activities, all of which are location specific. Job description What you will do: Drive solutions focused on SAP RAR process and related integrations. Drive solutions focused on Asset accounting and related integration with other SAP modules and Intercompany Accounting Drives solutions focused on Intercompany Accounting Responsible for the delivery of capabilities across the SAP S/4 Finance application platform including other Finance integrating systems and end to end solutions with PayMetric, Vertex, SWIFT, Spend Management applications. Identify opportunities to improve the systems process flow, performance and technical efficiencies. Be able to support the business and recommend/provide holistic solutions that integrate the existing global standards with the business needs and processes What you need: Required Qualifications: Master’s degree in finance - MBA or professional qualification CA, ACCA or related preferred Extensive knowledge in General ledger accounting / AP/ AR/ Fixed Assets In-depth knowledge of integration of FI with SD and MM Understanding of integration with other applications through interfaces, EDI etc At least 1 implementation in SAP & basic Knowledge of Controlling modules Preferred Qualifications: Exposure to Intercompany Accounting & bank Accounting Knowledge in RAR, FSCM & cash application Exposure to Europe VAT and localization requirements & at lleast 1 implementation in S4 Hana Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology and Orthopaedics that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.

Job Description Experience in SonarQube, CICD, Tekton, terraform, GCS, GCP Looker, Google cloud build, cloud run, Vertex AI, Airflow, TensorFlow, etc., Experience in Train, Build and Deploy ML, DL Models Experience in HuggingFace, Chainlit, React Ability to understand technical, functional, non-functional, security aspects of business requirements and delivering them end-to-end. Ability to adapt quickly with opensource products & tools to integrate with ML Platforms Building and deploying Models (Scikit learn, DataRobots, TensorFlow PyTorch, etc.) Developing and deploying On-Prem & Cloud environments Kubernetes, Tekton, OpenShift, Terraform, Vertex AI Experience in LLM models like PaLM, GPT4, Mistral (open-source models), Work through the complete lifecycle of Gen AI model development, from training and testing to deployment and performance monitoring. Developing and maintaining AI pipelines with multimodalities like text, image, audio etc. Have implemented in real-world Chat bots or conversational agents at scale handling different data sources. Experience in developing Image generation/translation tools using any of the latent diffusion models like stable diffusion, Instruct pix2pix. Expertise in handling large scale structured and unstructured data. Efficiently handled large-scale generative AI datasets and outputs. Familiarity in the use of Docker tools, pipenv/conda/poetry env Comfort level in following Python project management best practices (use of cxzsetup.py, logging, pytests, relative module imports,sphinx docs,etc.,) Familiarity in use of Github (clone, fetch, pull/push,raising issues and PR, etc.,) High familiarity in the use of DL theory/practices in NLP applications Comfort level to code in Huggingface, LangChain, Chainlit, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas Comfort level to use two/more of open source NLP modules like SpaCy, TorchText, fastai.text, farm-haystack, and others Knowledge in fundamental text data processing (like use of regex, token/word analysis, spelling correction/noise reduction in text, segmenting noisy unfamiliar sentences/phrases at right places, deriving insights from clustering, etc.,) Have implemented in real-world BERT/or other transformer fine-tuned models (Seq classification, NER or QA) from data preparation, model creation and inference till deployment Use of GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI, Good working knowledge on other open source packages to benchmark and derive summary Experience in using GPU/CPU of cloud and on-prem infrastructures Skillset to leverage cloud platform for Data Engineering, Big Data and ML needs. Use of Dockers (experience in experimental docker features, docker-compose, etc.,) Familiarity with orchestration tools such as airflow, Kubeflow Experience in CI/CD, infrastructure as code tools like terraform etc. Kubernetes or any other containerization tool with experience in Helm, Argoworkflow, etc., Ability to develop APIs with compliance, ethical, secure and safe AI tools. Good UI skills to visualize and build better applications using Gradio, Dash, Streamlit, React, Django, etc., Deeper understanding of javascript, css, angular, html, etc., is a plus. Responsibilities Design NLP/LLM/GenAI applications/products by following robust coding practices, Explore SoTA models/techniques so that they can be applied for automotive industry usecases Conduct ML experiments to train/infer models; if need be, build models that abide by memory & latency restrictions, Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools Showcase NLP/LLM/GenAI applications in the best way possible to users through web frameworks (Dash, Plotly, Streamlit, etc.,) Converge multibots into super apps using LLMs with multimodalities Develop agentic workflow using Autogen, Agentbuilder, langgraph Build modular AI/ML products that could be consumed at scale. Qualifications Education : Bachelor’s or Master’s Degree in Computer Science, Engineering, Maths or Science Performed any modern NLP/LLM courses/open competitions is also welcomed. Show more Show less

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day. We have 3.44 PB of RAM deployed across our fleet of C* servers - and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About The Role The charter of the Data + ML Platform team is to harness all the data that is ingested and cataloged within the Data LakeHouse for exploration, insights, model development, ML Engineering and Insights Activation. This team is situated within the larger Data Platform group, which serves as one of the core pillars of our company. We process data at a truly immense scale. Our processing is composed of various facets including threat events collected via telemetry data, associated metadata, along with IT asset information, contextual information about threat exposure based on additional processing, etc. These facets comprise the overall data platform, which is currently over 200 PB and maintained in a hyper scale Data Lakehouse, built and owned by the Data Platform team. The ingestion mechanisms include both batch and near real-time streams that form the core Threat Analytics Platform used for insights, threat hunting, incident investigations and more. As an engineer in this team, you will play an integral role as we build out our ML Experimentation Platform from the ground up. You will collaborate closely with Data Platform Software Engineers, Data Scientists & Threat Analysts to design, implement, and maintain scalable ML pipelines that will be used for Data Preparation, Cataloging, Feature Engineering, Model Training, and Model Serving that influence critical business decisions. You’ll be a key contributor in a production-focused culture that bridges the gap between model development and operational success. Future plans include generative AI investments for use cases such as modeling attack paths for IT assets. What You’ll Do Help design, build, and facilitate adoption of a modern Data+ML platform Modularize complex ML code into standardized and repeatable components Establish and facilitate adoption of repeatable patterns for model development, deployment, and monitoring Build a platform that scales to thousands of users and offers self-service capability to build ML experimentation pipelines Leverage workflow orchestration tools to deploy efficient and scalable execution of complex data and ML pipelines Review code changes from data scientists and champion software development best practices Leverage cloud services like Kubernetes, blob storage, and queues in our cloud first environment What You’ll Need B.S. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field and 7 + years related experience; or M.S. with 5+ years of experience; or Ph.D with 6+ years of experience. 3+ years experience developing and deploying machine learning solutions to production. Familiarity with typical machine learning algorithms from an engineering perspective (how they are built and used, not necessarily the theory); familiarity with supervised / unsupervised approaches: how, why, and when and labeled data is created and used 3+ years experience with ML Platform tools like Jupyter Notebooks, NVidia Workbench, MLFlow, Ray, Vertex AI etc. Experience building data platform product(s) or features with (one of) Apache Spark, Flink or comparable tools in GCP. Experience with Iceberg is highly desirable. Proficiency in distributed computing and orchestration technologies (Kubernetes, Airflow, etc.) Production experience with infrastructure-as-code tools such as Terraform, FluxCD Expert level experience with Python; Java/Scala exposure is recommended. Ability to write Python interfaces to provide standardized and simplified interfaces for data scientists to utilize internal Crowdstrike tools Expert level experience with CI/CD frameworks such as GitHub Actions Expert level experience with containerization frameworks Strong analytical and problem solving skills, capable of working in a dynamic environment Exceptional interpersonal and communication skills. Work with stakeholders across multiple teams and synthesize their needs into software interfaces and processes. Experience With The Following Is Desirable Go Iceberg Pinot or other time-series/OLAP-style database Jenkins Parquet Protocol Buffers/GRPC VJ1 Benefits Of Working At CrowdStrike Remote-friendly and flexible work culture Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Resource Groups, geographic neighbourhood groups and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. Show more Show less

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day. We have 3.44 PB of RAM deployed across our fleet of C* servers - and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About The Role The charter of the Data + ML Platform team is to harness all the data that is ingested and cataloged within the Data LakeHouse for exploration, insights, model development, ML Engineering and Insights Activation. This team is situated within the larger Data Platform group, which serves as one of the core pillars of our company. We process data at a truly immense scale. Our processing is composed of various facets including threat events collected via telemetry data, associated metadata, along with IT asset information, contextual information about threat exposure based on additional processing, etc. These facets comprise the overall data platform, which is currently over 200 PB and maintained in a hyper scale Data Lakehouse, built and owned by the Data Platform team. The ingestion mechanisms include both batch and near real-time streams that form the core Threat Analytics Platform used for insights, threat hunting, incident investigations and more. As an engineer in this team, you will play an integral role as we build out our ML Experimentation Platform from the ground up. You will collaborate closely with Data Platform Software Engineers, Data Scientists & Threat Analysts to design, implement, and maintain scalable ML pipelines that will be used for Data Preparation, Cataloging, Feature Engineering, Model Training, and Model Serving that influence critical business decisions. You’ll be a key contributor in a production-focused culture that bridges the gap between model development and operational success. Future plans include generative AI investments for use cases such as modeling attack paths for IT assets. What You’ll Do Help design, build, and facilitate adoption of a modern Data+ML platform Modularize complex ML code into standardized and repeatable components Establish and facilitate adoption of repeatable patterns for model development, deployment, and monitoring Build a platform that scales to thousands of users and offers self-service capability to build ML experimentation pipelines Leverage workflow orchestration tools to deploy efficient and scalable execution of complex data and ML pipelines Review code changes from data scientists and champion software development best practices Leverage cloud services like Kubernetes, blob storage, and queues in our cloud first environment What You’ll Need B.S. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field and 7 + years related experience; or M.S. with 5+ years of experience; or Ph.D with 6+ years of experience. 3+ years experience developing and deploying machine learning solutions to production. Familiarity with typical machine learning algorithms from an engineering perspective (how they are built and used, not necessarily the theory); familiarity with supervised / unsupervised approaches: how, why, and when and labeled data is created and used 3+ years experience with ML Platform tools like Jupyter Notebooks, NVidia Workbench, MLFlow, Ray, Vertex AI etc. Experience building data platform product(s) or features with (one of) Apache Spark, Flink or comparable tools in GCP. Experience with Iceberg is highly desirable. Proficiency in distributed computing and orchestration technologies (Kubernetes, Airflow, etc.) Production experience with infrastructure-as-code tools such as Terraform, FluxCD Expert level experience with Python; Java/Scala exposure is recommended. Ability to write Python interfaces to provide standardized and simplified interfaces for data scientists to utilize internal Crowdstrike tools Expert level experience with CI/CD frameworks such as GitHub Actions Expert level experience with containerization frameworks Strong analytical and problem solving skills, capable of working in a dynamic environment Exceptional interpersonal and communication skills. Work with stakeholders across multiple teams and synthesize their needs into software interfaces and processes. Experience With The Following Is Desirable Go Iceberg Pinot or other time-series/OLAP-style database Jenkins Parquet Protocol Buffers/GRPC VJ1 Benefits Of Working At CrowdStrike Remote-friendly and flexible work culture Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Resource Groups, geographic neighbourhood groups and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. Show more Show less

Job Title: Data Architecture Location: Chennai Experience: 8-15 Years Key Responsibilites Design and implement data-centric solutions on Google Cloud Platform (GCP) using various GCP tools like Big Query, Google Cloud Storage, Cloud SQL, Memory Store, Dataflow, Dataproc, Artifact Registry, Cloud Build, Cloud Run, Vertex AI, Pub/Sub, GCP APIs. Build ETL pipelines to ingest the data from heterogeneous sources into our system Develop data processing pipelines using programming languages like Java and Python to extract, transform, and load (ETL) data Create and maintain data models, ensuring efficient storage, retrieval, and analysis of large datasets Deploy and manage databases, both SQL and NoSQL, such as Bigtable, Firestore, or Cloud SQL, based on project requirements Optimize data workflows for performance, reliability, and cost-effectiveness on the GCP infrastructure. Implement version control and CI/CD practices for data engineering workflows to ensure reliable and efficient deployments. Utilize GCP monitoring and logging tools to proactively identify and address performance bottlenecks and system failures Troubleshoot and resolve issues related to data processing, storage, and retrieval. Promptly address code quality issues using SonarQube, Checkmarx, Fossa, and Cycode throughout the development lifecycle Implement security measures and data governance policies to ensure the integrity and confidentiality of data Collaborate with stakeholders to gather and define data requirements, ensuring alignment with business objectives. Develop and maintain documentation for data engineering processes, ensuring knowledge transfer and ease of system maintenance. Participate in on-call rotations to address critical issues and ensure the reliability of data engineering systems. Provide mentorship and guidance to junior team members, fostering a collaborative and knowledge-sharing environment Show more Show less

Provide functional leadership and daily support for Oracle Financials modules tailored to manufacturing processes and operations. Manage and execute month-end, quarter-end, and year-end financial close activities, including reconciliations, accruals, and reporting. Ensure accurate and timely financial postings and support finance teams with period-close issues and improvements. Handle application managed services (AMS) support, including incident management, service requests, and change management. Maintain and govern master data for finance and supply chain, ensuring consistency and integrity across modules. Support integration efforts between Oracle Financials and other internal or third-party systems. Implement and support Onsource Tax configurations, compliance rules, and reporting requirements. Develop and maintain financial reporting solutions using Oracle BI tools (BI Publisher, OTBI, FRS, etc.). Recommend and drive system enhancements, innovations, and best practices aligned with business goals. Collaborate with cross-functional teams to analyze requirements, design solutions, and execute testing (SIT/UAT). 7+ years of hands-on experience with Oracle E-Business Suite (R12) or Oracle Cloud Financials. Strong domain expertise in manufacturing finance, including costing, inventory accounting, and supply chain finance processes. Proven experience in financial close cycles, including hands-on support and resolution of close-related issues. Deep functional knowledge of AP, AR, GL, FA, Multi-Currency, Subledger Accounting. Experience with BI reporting and Oracle tools like OTBI, BI Publisher, or FRS. Expertise in Onsource Tax and familiarity with other tax engines (e.g., Vertex, Avalara). Experience in AMS/support environments, with strong customer service and communication skills. Ability to analyze complex issues and deliver innovative solutions to improve operational efficiency. Mandatory Skills Oracle E-Business Suite (R12) Oracle Cloud Financials Deep functional knowledge of AP, AR, GL, FA, Multi-Currency, Subledger Accounting. BI reporting and Oracle tools like OTBI, BI Publisher, or FRS Show more Show less

The candidate should have experience in AI Development including experience in developing, deploying, and optimizing AI and Generative AI solutions. The ideal candidate will have a strong technical background, hands-on experience with modern AI tools and platforms, and a proven ability to build innovative applications that leverage advanced AI techniques. You will work collaboratively with cross-functional teams to deliver AI-driven products and services that meet business needs and delight end-users. Job Duties and Responsibilities: Define and maintain project plans, schedule, requirements, document for product deliverables. Define project scope, deliverables, roles, and responsibilities in collaboration with Product Owner and stakeholders as per defined organization framework (XPMC) Follow agile methodology and maintain team dashboard (KANBAN) – Assign work to project team, track, and monitor team deliverables. Provide recommendations based on best practices and industry standards. Work closely with the team to ensure adherence to schedule timelines. Key Prerequisites Experience in AI and Generative AI Development Experience in Design, develop, and deploy AI models for various use cases, such as predictive analytics, recommendation systems, and natural language processing (NLP). Experience in Building and fine-tuning Generative AI models for applications like chatbots, text summarization, content generation, and image synthesis. Experience in implementation and optimization of large language models (LLMs) and transformer-based architectures (e.g., GPT, BERT). Experience in ingestion and cleaning of data Feature Engineering and Data Engineering Experience in Design and implementation of data pipelines for ingesting, processing, and storing large datasets. Experience in Model Training and Optimization Exposure to deep learning models and fine-tuning pre-trained models using frameworks like TensorFlow, PyTorch, or Hugging Face. Exposure to optimization of models for performance, scalability, and cost-efficiency on cloud platforms (e.g., AWS SageMaker, Azure ML, Google Vertex AI). Hands-on experience in monitoring and improving model performance through retraining and evaluation metrics like accuracy, precision, and recall. AI Tools and Platform Expertise OpenAI, Hugging Face MLOps tools Generative AI-specific tools and libraries for innovative applications. Technical Skills Strong programming skills in Python (preferred) or other languages like Java, R, or Julia. Expertise in AI frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face. Proficiency in working with transformer-based models (e.g., GPT, BERT, T5, DALL-E). Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization tools (Docker, Kubernetes). Solid understanding of databases (SQL, NoSQL) and big data processing tools (Spark, Hadoop). Show more Show less

Role Description Job Summary: We are seeking a highly skilled Senior Python Developer with expertise in Machine Learning (ML) , Large Language Models (LLMs) , and cloud technologies . The ideal candidate will be responsible for end-to-end execution — from requirement analysis and discovery to the design, development, and implementation of ML-driven solutions. The role demands both technical excellence and strong communication skills to work directly with clients, delivering POCs, MVPs, and scalable production systems. Key Responsibilities Collaborate with clients to understand business needs and identify ML-driven opportunities. Independently design and develop robust ML models, time series models, deep learning solutions, and LLM-based systems. Deliver Proof of Concepts (POCs) and Minimum Viable Products (MVPs) with agility and innovation. Architect and optimize Python-based ML applications focusing on performance and scalability. Utilize GitHub for version control, collaboration, and CI/CD automation. Deploy ML models on cloud platforms such as AWS, Azure, or GCP. Follow best practices in software development including clean code, automated testing, and thorough documentation. Stay updated with evolving trends in ML, LLMs, and cloud ecosystem. Work collaboratively with Data Scientists, DevOps engineers, and Business Analysts. Must-Have Skills Strong programming experience in Python and frameworks such as FastAPI, Flask, or Django. Solid hands-on expertise in ML using Scikit-learn, TensorFlow, PyTorch, Prophet, etc. Experience with LLMs (e.g., OpenAI, LangChain, Hugging Face, vector search). Proficiency in cloud services like AWS (S3, Lambda, SageMaker), Azure ML, or GCP Vertex AI. Strong grasp of software engineering concepts: OOP, design patterns, data structures. Experience in version control systems (Git/GitHub/GitLab) and setting up CI/CD pipelines. Ability to work independently and solve complex problems with minimal supervision. Excellent communication and client interaction skills. Skills Python,Machine Learning,Machine Learning Models Show more Show less

About General Mills We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, we’ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell. How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team, who upholds a vision of relentless innovation while being a force for good. For more details, check out http://www.generalmills.com General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization, delivering business value, service excellence, and growth, while standing for good for our planet and people. With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC), Digital & Technology (D&T) Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI) , Global Shared Services (GSS), Finance Shared Services (FSS) and Human Resources Shared Services (HRSS). For more details, check out https://www.generalmills.co.in We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow. Job Overview Function Overview The Digital and Technology team at General Mills stands as the largest and foremost unit, dedicated to exploring the latest trends and innovations in technology while leading the adoption of cutting-edge technologies across the organization. Collaborating closely with global business teams, the focus is on understanding business models and identifying opportunities to leverage technology for increased efficiency and disruption. The team's expertise spans a wide range of areas, including AI/ML, Data Science, IoT, NLP, Cloud, Infrastructure, RPA and Automation, Digital Transformation, Cyber Security, Blockchain, SAP S4 HANA, and Enterprise Architecture. The MillsWorks initiative embodies an agile@scale delivery model, where business and technology teams operate cohesively in pods with a unified mission to deliver value for the company. Employees working on significant technology projects are recognized as Digital Transformation change agents. The team places a strong emphasis on service partnerships and employee engagement with a commitment to advancing equity and supporting communities. In fostering an inclusive culture, the team values individuals passionate about learning and growing with technology, exemplified by the "Work with Heart" philosophy, emphasizing results over facetime. Those intrigued by the prospect of contributing to the digital transformation journey of a Fortune 500 company are encouraged to explore more details about the function through the provided Link. Purpose of the role General Mills, Digital and Technology India, is seeking a Lead Data Scientist to join our dynamic and innovative Data Science team. As a Lead Data Scientist, you will play a crucial role in shaping our AI and machine learning strategies, managing model development projects, AI technical explorations, and mentoring our talented team of data scientists. The ideal candidate will have expertise in AI platforms, ML modelling techniques, development life cycle, GCP Vertex AI, and a proven track record of successful AI solution delivery. Key Accountabilities AI and ML strategy: Develop and implement AI and ML strategies aligned with business objectives. Stay abreast of industry trends and emerging technologies to ensure our strategies remain cutting-edge. Constructively challenge the other data scientists on the approach Utilize and provide expertise in leading AI platforms, frameworks, and libraries. Evaluate and recommend new tools and technologies to enhance our machine learning capabilities. Lead The AI Solutions Delivery Partners with business stakeholders to deliver value-added insights and intelligent solutions through ML and AI. Collaborates with ML engineers and systems engineers to ensure the models are deployed in a scaled and optimized way. Additionally, ensure support for the post-production to ensure model performance degradation is proactively managed. Is considered an expert in at least one of the functional areas; brings together business knowledge, resources, people, and technology to create more effective solutions Model Development And Explorations Lead and contribute to the development of machine learning models from ideation to production deployment. Hands-on experience with Google Cloud Platform's Vertex AI for building, deploying, and managing machine learning models. Oversee the entire development life cycle of AI solutions, including MLOps practices, ensuring high-quality and scalable deliverables. Collaborate with cross-functional teams to integrate machine learning solutions into existing products or processes. Lead explorations for AI techniques, platforms, and tools. Team Management Mentor and development of a team of 4-5 data scientists Team Collaboration and Communication. Own development of the resources and career progression Guide Project Prioritization and Resource Allocation Collaborate with global partners to evolve ways of working AI Literacy And Mentorship To The Broader Organization Mentor and guide a team of data scientists in the approach for AI solution delivery Foster a collaborative and innovative team environment Contribute to the overall effort to educate stakeholders on AI practices Closely collaborates with the stakeholders on projects and data science leaders to ensure practices are developed and enhanced to support accelerated analytic development and maintainability Minimum Qualifications Bachelors Degree in Computer Science, Statistics/ Applied Mathematics from Tier 1 Istitute Tier 1 Education and 5+ years of experience OR 12 years of industry experience with 8+ years in providing data science solutions Proven skills in leading implementations of AI solutions Experience in managing team Experienced in providing technical mentorship Technical Concepts- MLOps, Containerization, Data Lineage and Visualization Experience working with an Agile development methodology featuring sprints, point estimation and daily stand-ups Excellent stakeholder management skills and storytelling skills Expert level of experience around AI solutions architecture, Supervised ML algorithms, optimization, performance tuning, Google Cloud Platform, Python and SQL Intermediate level of experience with MLOps, GCP Cloud Architecture/ any other cloud, AtScale & Alation, Deep Learning, Container, GKE Preferred Qualifications Publications or contributions to the data science and AI community Certifications in AI, Machine Learning or related fields Company Overview We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next. Show more Show less

Backend ● Bachelors/Masters in Computer science from a reputed institute/university ● 3-7 years of strong experience in building Java/golang/python based server side solutions ● Strong in data structure, algorithm and software design ● Experience in designing and building RESTful micro services ● Experience with Server side frameworks such as JPA (HIbernate/SpringData), Spring, vertex, Springboot, Redis, Kafka, Lucene/Solr/ElasticSearch etc. ● Experience in data modeling and design, database query tuning ● Experience in MySQL and strong understanding of relational databases. ● Comfortable with agile, iterative development practices ● Excellent communication (verbal & written), interpersonal and leadership skills ● Previous experience as part of a Start-up or a Product company. ● Experience with AWS technologies would be a plus ● Experience with reactive programming frameworks would be a plus · Contributions to opensource are a plus ● Familiarity with deployment architecture principles and prior experience with container orchestration platforms, particularly Kubernetes, would be a significant advantage Show more Show less