6971 Machine Learning Jobs - Page 40

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 Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience, Experience in computational linguistics or engineering, Experience in working with customers, executives, and technical leads, Experience in building chatbots or voicebots, Preferred qualifications: Experience in building chatbots or voicebots with Dialogflow, with launching chatbot or voicebot applications, Experience building cloud-based conversational AI solutions, Experience with natural language processing and related concepts, Excellent leadership and collaboration skills in the field of AI or Machine Learning, Excellent communication, presentation and problem solving skills, About The Job As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships, You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources, Google Cloud accelerates every organizations ability to digitally transform its business and industry We deliver enterprise-grade solutions that leverage Googles 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 Build virtual agent solutions on Googles core conversational AI platforms such as Dialogflow, Work with customer technical leads, client executives, and partners to scope, manage, and deliver successful implementations of Contact Center AI solutions becoming a trusted advisor to decision-makers throughout the engagement, Interact with business partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines to ensure successful client outcomes Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on field experience, Propose solution architectures and manage the deployment of cloud based virtual agent solutions according to customer requirements, Travel approximately 30% of the time for client engagements, 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 ,

Openings : 01 Experience : 2+ years Location : Surat Varachha 5-Days Working Paid Leaves Complimentary Health Insurance Overtime Pay Fun Activities Personal Loan Employee Training Positive Work Environment Professional Developments Job Description We are looking for an experienced AI/ML cum Python Developer with 2+ years of hands-on work in machine learning, Python development, and API integration The ideal candidate should also have experience building AI agents?smart systems that can plan tasks, make decisions, and work independently using tools like LangChain, AutoGPT, or similar frameworks Youll be part of a collaborative team, working on real-world AI projects and helping us build intelligent, scalable solutions, Job Responsibility Key Responsibilities: Develop, train, and deploy machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn, Develop AI agents capable of decision-making and multi-step task execution Write efficient and maintainable Python code for data processing, automation, and backend services, Design and implement REST APIs or backend services for model integration, Handle preprocessing, cleaning, and transformation of large datasets, Evaluate model accuracy and performance, and make necessary optimizations, Collaborate with cross-functional teams including UI/UX, QA, and product managers, Stay updated with the latest trends and advancements in AI/ML, Key Performance Areas (KPAs) Development of AI/ML algorithms and backend services AI agent development and performance Model evaluation, testing, and optimization Seamless deployment and integration of models in production Technical documentation and project support Research and implementation of emerging AI technologies Key Performance Indicators (KPIs) Accuracy and efficiency of AI models delivered Clean, reusable, and well-documented Python code Timely delivery of assigned tasks and milestones Issue resolution and minimal bugs in production Contribution to innovation and internal R&D efforts Required Skills & Qualification Bachelors or Masters degree in Computer Science, IT, or related field Minimum 2 years of experience in Python and machine learning Hands-on with AI agent tools like LangChain, AutoGPT, OpenAI APIs, Pinecone, etc Strong foundation in algorithms, data structures, and mathematics Experience with Flask, FastAPI, or Django for API development Good understanding of model evaluation and optimization techniques Familiarity with version control tools like Git Strong communication and team collaboration skills Interview Process HR Round Technical Round Practical Round Salary Negotiation Offer Release Apply Job

Minimum qualifications: Bachelor's degree or equivalent practical experience, 8 years of experience in software development, 5 years of experience testing, and launching software products, Experience in Machine Learning, Preferred qualifications: Masters degree or PhD in Engineering, Computer Science, or a related technical field, Experience in Large Language Models/ Deep Learning/NLP, About The Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another Our products need to handle information at massive scale, and extend well beyond web search We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward, With your technical expertise you will manage project priorities, deadlines, and deliverables You will design, develop, test, deploy, maintain, and enhance software solutions, In Google Search, we're reimagining what it means to search for information any way and anywhere To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on In joining the Search team, you'll have an opportunity to make an impact on billions of people globally, Responsibilities Emerge with the roadmap for the sports AI insights team and deliver, Be the technical lead for the Sports AI insights team while solving technical problems, Build solutions to ground up to enable novel sports experiences, Work with teammates to identify opportunities to make offerings simpler to next generation sports experiences, Collaborate, mentor and develop other team members, 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 ,

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact, We are seeking a talented Research Scientist (freelancer) to join our dynamic team and contribute to cutting-edge AI research and development This is a remote, flexible opportunity where you can leverage your expertise in AI and machine learning to advance our research efforts and contribute to transformative technologies, Key Responsibilities: Annotate and evaluate AI-generated research content in the field of AI, machine learning, and related domains, Design research prompts and assess AI responses for clarity, relevance, and scientific accuracy in AI and machine learning concepts, Provide detailed feedback to enhance the AI's research quality and its ability to produce valuable, high-impact insights, Collaborate with AI teams to improve the integration of research findings into practical AI applications and systems, Develop novel algorithms and models for AI-driven applications across various domains, Collaborate with cross-functional teams to integrate research outcomes into production-level systems and products, Required Qualifications: D Strong background in machine learning, deep learning, reinforcement learning, or natural language processing, Proven track record of original research, including publications in leading AI conferences or journals, Expertise in programming languages such as Python, C++, or similar, and knowledge of machine learning frameworks (e-g , TensorFlow, PyTorch), Ability to think critically and creatively to address complex AI challenges, Excellent problem-solving skills, strong communication skills, and the ability to collaborate effectively in a team setting, Why join us Competitive hourly pay: upto ??1500 per hour, Fully remote and flexible work schedule, Opportunity to contribute to the advancement of AI technology, NOTE: Pay will vary by project and typically is up to ??1500 per hour If you work an average of 3 hours every day, you could earn up to ??90,000 per month once you clear our screening process,

Join us as a Data Analyst at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences, You will be assessed on the key critical skills relevant for success in role, such as experience with Basel IV regulatory changes , Risk reporting & management , experience in accounting & balance sheet understanding , as well as hands on experience in reconciliation ( risk & finance) , Risk Weight Asset calculation & in-depth product knowledge will be an added advantage At Barclays, we don't just anticipate the future we're creating it, To be successful in this role, you should have below skills: Knowledge in Basel IV regulatory requirements/changes Regulatory Reporting Regulatory Process Analysis of risk data to identify trends, patterns, and outliers, and assess the impact of risk exposures Accounting knowledge experience in reconciliation Sound knowledge of accounting of transactions and its representation in a Banks financial statements (P&L and Balance sheet) Sound knowledge of investment banking & Corporate banking knowledge , nature of the products , how the accounting /netting logics applied in BFSI Expert level hands on experience with methods to analyse poor quality data and understand data lineage, Some Other Highly Valued Skills May Include Below Knowledge\Experience in posting eviewing of accounting entries for complex derivative trade structures, Technical knowledge SQL, Macro, preparing BRD for projects, Finance accounting knowledge ( balance sheet /pnl reconciliation) You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills, This role is based in our Chennai office, Purpose of the role To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources, Accountabilities Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, Execution of data cleansing and transformation tasks to prepare data for analysis, Designing and building data pipelines to automate data movement and processing, Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems, Documentation of data quality findings and recommendations for improvement, Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement, Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources, If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard The four LEAD behaviours are: L Listen and be authentic, E Energise and inspire, A Align across the enterprise, D Develop others, OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate, Will have an impact on the work of related teams within the area, Partner with other functions and business areas, Takes responsibility for end results of a teams operational processing and activities, Escalate breaches of policies / procedure appropriately, Take responsibility for embedding new policies/ procedures adopted due to risk mitigation, Advise and influence decision making within own area of expertise, Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct, Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function, Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function, Make evaluative judgements based on the analysis of factual information, paying attention to detail, Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents, Guide and persuade team members and communicate complex / sensitive information, Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation, All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship our moral compass, helping us do what we believe is right They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge and Drive the operating manual for how we behave,

Minimum qualifications: Bachelor's degree or equivalent practical experience, 8 years of experience in product management or related technical role, 5 years of experience taking technical products from conception to launch, Preferred qualifications: Experience with ML and modeling, Experience in Ad tech including with Google Analytics, Google Ads, or similar tools, Experience with stakeholder management and delivering impact, About The Job At Google, we put our users first The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day, In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds You can break down complex problems into steps that drive product development, One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management Our team works closely with creative engineers, designers, marketers, etc to help design and develop technologies that improve access to the world's information We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users, Users come first at Google Nowhere is this more important than on our Advertising and Commerce team: we believe that ads and commercial information can be highly useful to our users if that information is relevant to what our users wish to find or do Advertisers worldwide use Google Ads to promote their products; publishers use AdSense to serve relevant ads on their website; and business around the world use our products (like Google Shopping, and Google Wallet) to support their online businesses and bring users into their offline stores We are constantly innovating to deliver the most effective advertising and commerce opportunities of tomorrow, Responsibilities Partner with the Google Ads team on how Google can continue to deliver omnichannel (online and offline) measurement in a privacy focused environment, Collaborate with Sales to lead businesses to understand, trust, and adopt measurement solutions, Identify and apply new data sources to improve measurement capabilities, and apply advanced Machine Learning (ML)/modeling techniques to deliver measurement breadth and accuracy for advertisers in a data-constrained environment, Collaborate with Google Ads Advertiser and Enterprise Platforms product managers to bring ideas and solutions to life in the Google Ads UI, Work across Google teams (e-g , Legal, BD, Sales, other Ads teams, Geo) to develop high-quality and privacy-durable measurement, Mentor junior product managers, 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 ,

Step into a role of Assistant Manager Internal Fraud Optimisation, where youll take responsibility for client service and operational execution task You must take responsibility for controlling risk and enhancing controls in connection to your job and areas of responsibility in accordance with rules and regulations You must follow well defined procedures that may require a range of job routines and make judgement based on practice and previous experience, To thrive in this role, youll need some previous experience in: Bachelors degree or equivalent in quantitative field of study (masters candidate is good to have), Candidate possessing data and analytical experience with problem solving skills, Ability to perform and handle multiple workstreams with deadline driven environment, Working knowledge of SAS, SQL, and Microsoft Excel, Relevant industry experience, Effective communication skills fluent in English written and spoken, You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills, This role is based in Noida, Purpose of the role To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources, Accountabilities Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, Execution of data cleansing and transformation tasks to prepare data for analysis, Designing and building data pipelines to automate data movement and processing, Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems, Documentation of data quality findings and recommendations for improvement, Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement, Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources, If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard The four LEAD behaviours are: L Listen and be authentic, E Energise and inspire, A Align across the enterprise, D Develop others, OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate, Will have an impact on the work of related teams within the area, Partner with other functions and business areas, Takes responsibility for end results of a teams operational processing and activities, Escalate breaches of policies / procedure appropriately, Take responsibility for embedding new policies/ procedures adopted due to risk mitigation, Advise and influence decision making within own area of expertise, Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct, Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function, Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function, Make evaluative judgements based on the analysis of factual information, paying attention to detail, Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents, Guide and persuade team members and communicate complex / sensitive information, Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation, All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship our moral compass, helping us do what we believe is right They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge and Drive the operating manual for how we behave,

Minimum qualifications: Bachelor's degree or equivalent practical experience, 8 years of experience with software development in one or more programming languages (e-g , Python, C, C++, Java, JavaScript), 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision or a team leadership role, Preferred qualifications: Experience in working with ML models, Generative AI model quality, Experience in leading software engineers and technical leads, Experience with the Support domain, About the jobLike Google's own ambitions, the work of a Software Engineer goes beyond just Search Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers You not only optimize your own code but make sure Engineers are able to optimize theirs As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day Operating with scale and speed, our exceptional software engineers are just getting started -and as a manager, you guide the way, With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world We explore new ideas, solve real problems, and have fun ? and we do it all together, Responsibilities Lead a team of software engineers, drive technical strategy and execute projects on delivering Creator Support on full stack and Artificial Intelligence/Machine Learning (AI/ML) technologies Ensure quality delivery, Collaborate with key stakeholders and cross-functional teams to define the goals and roadmap of the team, Provide team management, technical mentorship and guidance to team members, promoting their growth and development, Promote a culture of innovation, collaboration, and learning within the team, 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 ,

Minimum qualifications: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or equivalent practical experience 1 year of experience with software development in C++, or a related object oriented language, Experience with C++, Software Development, Software Implementation/Integration, Preferred qualifications: Master's degree in Computer Science, Computer Engineering, 3 year of experience with software development in C++, or a related object oriented language, Experience in software development with C++ in embedded APIs/runtime/firmware or applications with hardware accelerators such as Demand-side platforms (DSPs), Graphics Processing Units (GPUs) and Tensor Processing Unit (TPUs), Experience with performance/power analysis and optimization with embedded systems or machine learning, Experience in Android/Linux with the knowledge of operating systems internals, Experience in Runtimes, Firmware, GPU Drivers, Embedded Systems, Embedded Processors, Real Time Systems, About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another Our products need to handle information at massive scale, and extend well beyond web search We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward, In this role, you will manage project priorities, deadlines, and deliverables You will design, develop, test, deploy, maintain, and enhance software solutions Google's mission is to organize the world's information and make it universally accessible and useful Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful We aim to make people's lives better through technology, Responsibilities Build C++ based runtime and firmware for compute on the Tensor System on a chip (SoC), Define stable, backward-compatible Application programming interfaces (APIs) that allow applications to leverage compute acceleration Work with first-party app developers on Google devices to ensure a quality user experience on device, Develop unit tests and end-to-end tests that validate the software stack, Develop tools and infrastructure that enables customers to integrate and test their code, Help to set the direction for new system architectures to support future applications such as heterogeneous compute, 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 ,

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurgaon, Haryana, India Minimum qualifications: Bachelor's degree or equivalent practical experience, 10 years of experience with cloud architecture working with a system integrator as architect or delivery providing solutions to end customers, Experience with data migration strategies and moving production systems in on-premise/data center environments or migration to cloud scenarios, Experience in designing and building architectures and with migration of workloads to cloud environments, Experience with database technologies (e-g , Oracle, SQL Server, PostgreSQL, MySQL, etc ), Preferred qualifications: Experience building business partnerships, Experience in cloud migrations and application modernization translating customer business needs into cloud-centric solutions, Experience with data and Artificial Intelligence/ Machine Learning (AI/ML) workloads, Knowledge of application data management architectures including storage subsystems, high availability, backup/recovery, disaster recovery, performance, scalability, security, monitoring and database management, Ability to conduct technical discussions and engagements, Excellent communication skills, About the jobWhen leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative You deliver what is most helpful for the customer You assist fellow sales Googlers by problem-solving key technical issues for our customers You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products, In this role , you will work with partner development managers to grow and support the Google Cloud partner ecosystem You will understand the technical capabilities of our partners and recommend the right partner and solutions to our customers You will guide the effort to enable partners across technologies and solutions You will contribute to customer adoption of Google Cloud by supporting partners as they illustrate how Google Cloud services can help customers bring their services to market faster, differentiate against the competition, and create new business growth streams You will help partners succeed in the migration and deployment phase, ensuring they have full access to Google Clouds artifacts, tools, templates, and best practices You will help prospective partners understand Google Cloud features, help them build solutions and align with the product marketing and engineering teams to recommend improvements to Google Cloud products, Google Cloud accelerates every organizations ability to digitally transform its business and industry We deliver enterprise-grade solutions that leverage Googles 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 Enable System Integrator (SI) partners and Independent Software Vendors (ISV) technical teams skills, capabilities, and capacity through prototyping and demonstrating product integrations Guide customers through assessments of their existing legacy application environment, Work with partner managers to identify and recruit partners in the market and monitor partner delivery capabilities, Onboard ISV partners to the Marketplace and empower SI partners to motivate a successful pilot, proof of concept or production workloads Create partner technical development plans, aligned to annual planning and motivate technical wins of SI partners, alignment of SI partners to customer opportunities, Collaborate with ISV/SI partners to develop solution documentation, joint technical articles, webinars, etc Build solution focused technical assets for internal/external partners, Recommend integration strategies, enterprise architectures, platforms, application infrastructure required to successfully implement a complete solution on Google Cloud, 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 ,

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact, We are seeking an Environmental Engineer (freelancer) to join our team and apply engineering principles to create innovative AI-driven solutions for environmental challenges This is a remote, flexible opportunity where you can help improve sustainability efforts and environmental safety using advanced technologies, Key Responsibilities: Design, develop, and implement AI-based solutions for environmental management, focusing on waste management, pollution control, and sustainable infrastructure, Evaluate environmental impact assessments and recommend improvements based on engineering principles and AI predictions, Collaborate with AI teams to integrate engineering models with AI systems for environmental applications, Analyze environmental data to optimize processes related to water, air, and waste management, Ensure compliance with environmental laws, regulations, and industry standards while developing solutions, Provide feedback and insights to improve the quality and effectiveness of AI-driven environmental systems, Stay informed about emerging technologies and advancements in environmental engineering, Required Qualifications: Bachelors or Masters degree in Environmental Engineering, Civil Engineering, or a related field, Strong background in environmental impact assessment, pollution control, and sustainable engineering practices, Experience with AI, machine learning, or environmental data analysis is a plus, Knowledge of environmental regulations and industry standards, Strong problem-solving and analytical skills, Why join us Competitive hourly pay: upto ??1500 per hour, Fully remote and flexible work schedule, Opportunity to contribute to the advancement of AI technology, NOTE: Pay will vary by project and typically is up to ??1500 per hour If you work an average of 3 hours every day, you could earn up to ??90,000 per month once you clear our screening process,

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact, We are seeking an experienced Data Science Manager to lead our data science team and drive the development of innovative AI and machine learning solutions If you have a strong leadership background and a passion for data-driven decision-making, we would love to hear from you! Key Responsibilities: Lead and mentor a team of data scientists to deliver actionable insights and data-driven solutions, Oversee the design and implementation of machine learning models and data analysis workflows, Collaborate with cross-functional teams to identify key business challenges and provide data-driven recommendations, Ensure best practices for data analysis, model deployment, and algorithm development, Manage project timelines, resources, and deliverables to ensure the successful execution of data science initiatives, Required Qualifications: 4+ years of experience in data science, including 1+ years in a leadership role, Strong proficiency in Python, R, SQL, and machine learning frameworks, Experience in leading data science projects and managing teams, Strong problem-solving skills and the ability to translate complex data insights into business strategies, Why Join Us Competitive pay (??1200/hour), Flexible hours, Remote opportunity, NOTE: Pay will vary by project and typically is up to Rs 1200 per hour (if you work an average of 3 hours every day that could be as high as Rs 108K per month) once you clear our screening process, Shape the future of AI with Soul AI!

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI) We are looking for Indias top 1% Data Scientists for a unique job opportunity to work with the industry leaders, Who can be a part of the community We are looking for top-tier Data Scientists with expertise in predictive modeling, statistical analysis, and A/B testing If you have experience in this field then this is your chance to collaborate with industry leaders, Whats in it for you Pay above market standards The role is going to be contract based with project timelines from 2 12 months, or freelancing, Be a part of an Elite Community of professionals who can solve complex AI challenges, Work location could be: Remote (Highly likely) Onsite on client location Deccan AIs Office: Hyderabad or Bangalore Responsibilities: Lead design, development, and deployment of scalable data science solutions optimizing large-scale data pipelines in collaboration with engineering teams, Architect advanced machine learning models (deep learning, RL, ensemble) and apply statistical analysis for business insights, Apply statistical analysis, predictive modeling, and optimization techniques to derive actionable business insights, Own the full lifecycle of data science projects?from data acquisition, preprocessing, and exploratory data analysis (EDA) to model development, deployment, and monitoring, Implement MLOps workflows (model training, deployment, versioning, monitoring) and conduct A/B testing to validate models, Required Skills: Expert in Python, data science libraries (Pandas, NumPy, Scikit-learn), and R with extensive experience with machine learning (XGBoost, PyTorch, TensorFlow) and statistical modeling, Proficient in building scalable data pipelines (Apache Spark, Dask) and cloud platforms (AWS, GCP, Azure), Expertise in MLOps (Docker, Kubernetes, MLflow, CI/CD) along with strong data visualization skills (Tableau, Plotly Dash) and business acumen, Nice to Have: Experience with NLP, computer vision, recommendation systems, or real-time data processing (Kafka, Flink), Knowledge of data privacy regulations (GDPR, CCPA) and ethical AI practices, Contributions to open-source projects or published research, What are the next steps Register on our Soul AI website Our team will review your profile Clear all the screening rounds: Clear the assessments once you are shortlisted Profile matching and Project Allocation: Be patient while we align your skills and preferences with the available project Skip the Noise Focus on Opportunities Built for You!

Job Title "Senior ML Engineer at TrueFoundry, based out of US Onsite Role" Company Details TrueFoundry offers Data Scientists and ML Engineers a rapid framework for Post Model Pipeline, delivering monitored endpoints in just 15 minutes using advanced DevOps practices, accelerating innovation while ensuring efficiency and reliability in machine learning deployment, Job Roles & Responsibilities Develop scalable ML models and deploy them using Python, Collaborate with Data Scientists to transform insights into actionable production-grade models, Implement best DevOps practices to ensure rapid deployment of monitored model endpoints, Optimize post-model pipelines using TrueFoundry's framework for efficiency, Lead troubleshooting, debugging, and continuous improvement of ML systems, Stay updated with the latest AI/ML technologies and integrate them where necessary, Mentor junior engineers and contribute to team growth, Work closely with cross-functional teams to align AI solutions with company goals, Cultural Expectations Embrace fast-paced, iterative development and deployment of ML models Communicate effectively within multidisciplinary teams Display innovation and creativity in problem-solving Align with a culture emphasizing DevOps best practices Exhibit professionalism and reliability in delivering upon project commitments Hiring Process R1: Profile Shortlisting R2: Tech interview-DSA interview R3: Tech interview-fine-tuning interview R4: Tech interview-ML deployment interview (model deployment) R5: Culture fit

Overview: Dozee Health AI is a pioneer in Contactless Remote Patient Monitoring (RPM), proven to drive transformation at scale Headquartered in Bengaluru, India, Dozee has emerged as Indias no 1 RPM Company, We are seeking visionary individuals to help us in this very exciting journey As a part of our dynamic team, youll have the opportunity to collaborate with top healthcare providers in the country, applying AI-powered RPM solutions to tackle some of the most pressing challenges in healthcare enhancing staff efficiency, improving patient outcomes, and pioneering the next generation of care models, Responsibilities To initiate, develop and optimize algorithms to solve healthcare problems To ensure a constant flow of case studies/publications from acquired health datasets To extract feedback for product and marketing in order to improve and optimize their functions To optimize and upgrade existing pipelines and processesTo ensure performance on par with business requirements To keep the software stack and implementation up to date with the latest advancements in the industry Requirement 5+ years of relevant work experienceStrong fundamentals in statistics and machine learning Excellent scripting and programming skills with Python(preferred), Julia or R Experience of working with Time series data Experience of mining, handling and analyzing big datasets Experience of working with TensorFlow/Keras/Pytorch Experience of working with Spark/Hadoop and help setup pipelines Excellent data communication, sharp analytical abilities with proven design skills along with ability to think critically of the current system and existing projects Vision & Mission Save Million lives with Health AI Dozee is Indias leading AI-Powered contactless Remote Patient Monitoring (RPM) and Early Warning System (EWS) A solution that continuously monitors patients and provides early warnings of clinical deterioration, enabling timely interventions and enhancing patient safety in hospitals, nursing facilities and patient homes A "Made in India for the World" solution, Dozee has pioneered the worlds first non-contact blood pressure monitoring system Trusted by leading healthcare providers in India, the USA, and Africa, Dozee is transforming patient safety and care by enhancing outcomes and reducing costs, Dozee is adopted by 300+ hospitals and monitors 16000+ beds across 4 countries Dozee has monitored over 1 Mn Patients, Delivered 35000+ Life Saving Alerts and Saved 10 Mn+ Nursing Hours, Videos Science Behind Dozee : Ballistocardiography & Artificial Intelligence 100 Dozee deliver 144 life saving alerts and INR 2 7 Cr of saving Sattva Study Dozee saves life of a mother at home Leading Healthcare Game changers work with Dozee I I ntroducing Dozee VS Dozee Shravan A clinical grade RPM service Dozee In News Bloomberg Oct 21, 2024 From AI Beds to Remote ICUs, Startups are plugging India's health Gaps News18Oct 26, 2024 Now, You Can Remotely Monitor Your Loved Ones in Hospital With Bengaluru Start-Up's 'Shravan' Analytics India MagazineOct 29, 2024 Dozee Harness AI for Personalised Patient Care ET HealthWorldSep 16, 2024 We trust AI everyday From Google Maps to Smartphones, So why not use it to enhance patient safety in healthcare BW healthcareworldOct 29, 2024 Dozee's AI-Powered System Predicts Patient Deterioration 16 Hours in Advance A tertiary care hospital study published in JMIR , validated Dozees Early Warning System (EWS), showing it identified 97% of deteriorating patients, provided alerts ~19 hours in advance , and generated 5x fewer alerts, reducing alarm fatigue and improving patient outcomes, A study at King George Medical University, Lucknow, and published in Frontiers in Medical Technology demonstrated that Dozees automation can potentially save 2 5 hours of nursing time per shift , improving workflow efficiency and allowing more focus on patient care, A study on remote patient monitoring in general wards published in Cureus found that 90%+ of healthcare providers reported improved care and patient safety, 74% of patients felt safer , and there was a 43% increase in time for direct patient care, Research by Sattva , an independent consulting firm, demonstrates Dozee's substantial impact: for every 100 Dozee-connected beds, it can save approximately 144 lives , reduce nursestime for vital checks by 80% , and decrease ICU average length of stay by 1 3 days, Key Highlights Founded : October, 2015 Founders : Mudit Dandwate, Gaurav Parchani Headquarters : Bangalore, India | Houston, USA | Dubai, UAE Key Investors & Backers : Prime Ventures, 3one4 Capital, YourNest Capital, Gokul Rajaram, BIRAC (Department of Biotechnology, State Bank of India, and Dinesh Mody Ventures, Temasek Foundation, Horizons Ventures Stage : Series A+ Team Strength : 280+ Business : Providing Continuum of care with AI-powered contactless Remote Patient Monitoring (RPM) and Early Warning System (EWS) for Hospitals and Home, Certifications & Accreditations : ISO13485:2016 Certified, ISO27001:2022 Certified, CDSCO Registered, FDA510K Cleared for the flagship product Dozee Vitals Signs (VS) measurement system and SOC2 Type II Certified Achievements Forbes India 30 under 30 Forbes Asia 100 to Watch Times Network India Health Awards 2024 for AI innovation in Bharat Healthcare tech BML Munjal Award for Business Excellence using Learning and Development FICCI Digital Innovation in Healthcare Award Anjani Mashelkar Inclusive Innovation Award Marico Innovation For India Award, To know more about life@dozee, click here , Disclaimer: Dozee is an equal opportunity employer We celebrate diversity and are committed to creating an inclusive environment for all employees ? Dozee does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law All employment is decided on the basis of qualifications, merit, and business need Dozee will not tolerate discrimination or harassment based on any of these characteristics

Company Description Wise is a global technology company, building the best way to move and manage the worlds money, Min fees Max ease Full speed, Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money, As part of our team, you will be helping us create an entirely new network for the world's money, For everyone, everywhere, Job Description More about our mission and what we offer, Salary Range: INR 3,406,000 3,926,000 Per Annum + RSU's Your mission will be to deeply understand the needs of Indian customers and help your team to focus on solving their most critical problems, The focus of this team is to ensure that customers in India use Wise in the most seamless, cost-effective, convenient, and fast way The goal for you, in this role will be to focus on and impact parts of our product that will help us scale 10x as we enable core functionality for global money transfers You will also help create a roadmap for Wises expansion in India, and bring more of Wises features to the country, How Youll Contribute Provide data drive insight to inform product decisions, from improving our onboarding flow to reduce friction using one product, Partner with Product Managers and other Analysts to set KPIs for the India team and monitor new product features impact on conversion, stickiness and engagement, Understand customers and the impact of our product on their lives, Build conviction on high-value areas and challenge them if there are faster or more effective ways to grow the market, Develop and execute a strategic roadmap for Wises expansion in India, introducing more of Wises innovative features to the market, Inspire a team environment where ideas are shared and openness is valued, Make contributions to the wider product goals of the company to achieve our Mission: Money without borders, Work cross-functionally with global teams to ensure alignment and integration of regional initiatives with Wises overall strategy, This Role Will Give You The Opportunity To Choose your path to impact we believe people are most empowered when they can act autonomously So rather than telling you what to do, youll work with your team to create a vision of your own Of course, you can always gather feedback from smart, curious people across Wise but youll have the freedom to make your own calls Grow as a Product Analyst Grow and inspire your team and others across Wise Get amazing exposure to the full breadth and depth of our product while working with a group of multi disciplinary teams of amazing, smart and dedicated product analysts, engineers, product managers, researchers, designers and many more The freedom to have real impact The opportunities youll identify are key to Wise reaching future millions of customers and redefining how payments work internationally at scale Qualifications Ideal candidate would have: At least 7 years of experience Strong analytical mind and product intuition, centered around the Indian banking and financial industry, Technical skill-set in Python, advanced SQL, BI tools Experience working with technical teams (PMs, engineers, designers, analysts) Relevant experience in a data driven and complex environment with limited guidance Understanding of events data Mixpanel / Google Analytics / Amplitude or similar Excellent data visualisation and presentation skills Hustler-mentality You can take work beyond the analysis and get things done, Good To Have Knowledge of the fintech ecosystem in India Knowledge of regulations and competitive landscape Knowledge of utilities like Airflow/Github/DBT Experience on funnel optimization Experience in Data Science and Machine Learning Interest in learning new tools Additional Information For everyone, everywhere We're people building money without borders ? without judgement or prejudice, too We believe teams are strongest when they are diverse, equitable and inclusive, We're proud to have a truly international team, and we celebrate our differences, Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers, If you want to find out more about what it's like to work at Wise visit Wise Jobs, Keep up to date with life at Wise by following us on LinkedIn and Instagram,

Job Description - You Will :Focus on ML model load testing and creation of E2E test case sEvaluate modelsscalability and latency by running suites of metrics under different RPS and creating and automating the test cases for individual models, ensuring a smooth rollout of the model sEnhance monitoring of model scalability, and handle incident of increased error rat eCollaborate with existing machine learning engineers, backend engineers and QA test engineers from cross-functional team s You Brin g:Advanced degree (Masters or Ph D ) in Computer Science/Statistics/Data Science, specializing in machine learni ng3+ years of industry experience (pls dont include years in a research group or R&D tea m)Strong programming skills in languages such as Java, Python, Sca laHands-on Experience in Databricks, mlFlow, Seld onExcellent problem-solving skills and analytical skil lsExpertise in recommendation algorith msExperience with software engineering principles, and use of cloud services like A WS Preferred Qualificatio ns:Experience in Kubeflow, Tecton, Jenk insExperience in building and monitoring large-scale online customer-facing ML applications, preferably recommendation syst emsExperience working with custom ML platforms, feature store, and monitoring ML mod elsFamiliarity with best practices in machine learning and software engineeri

Python Developer GCPS As a Python Developer you will strengthen our agile cross-functional team with your experience in IT projects, cloud architecture and development in a modern state-of-the-art tech stack You will be part of an agile team responsible for the development of Global Pricing Services You will use your knowledge to provide leading-edge, high-quality deliverables for multiple OEs Join us, if you enjoy a startup atmosphere whilst having the reach and market access of one of the largest insurance companies worldwide, You will You will work in cross-functional teams for Global Commercial Pricing services Develop and implement scalable pipelines for large or complex data series using common Python modules/packages, Development of powerful APIs Quantitative Development Data modelling and enrichment as well as transformation using statistical methods and/or ML Continuous development (CI/CD) as well as support of processes in a heterogeneous system landscape Participation in the renewal of the technology stack with cloud-based services Support of , including the implementation of overarching functional enhancements Depending on experience, acting as project manager with planning, coordination and implementation, including requirements analysis (and customer communication) possible Your Skills Very good Python knowledge optionally including Machine Learning 3-6 years of experience in Python Development, Experience with cloud solutions and data lakes Knowledge of SQL (Oracle desirable) Interest in topics related to the finance/insurance industry, Analytical and conceptual skills, coordination and organizational skills High level of analytical thinking, motivation, reliability, personal responsibility and independence Team spirit and strong communication skills Customerand service-oriented, confident appearance in an international environment High proficiency in English Excellent analytical, problem-solving skills, Successfully completed technical or university studies in (business) computer science or equivalent with IT orientation and/or comparable professional experience Your benefits: We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl up to 25 days per year working from abroad We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location) From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach About Allianz Technology Allianz Technology is the global IT service provider for Allianz and delivers IT solutions that drive the digitalization of the Group With more than 13,000 employees located in 22 countries around the globe, Allianz Technology works together with other Allianz entities in pioneering the digitalization of the financial services industry, We oversee the full digitalization spectrum from one of the industrys largest IT infrastructure projects that includes data centers, networking and security, to application platforms that span from workplace services to digital interaction In short, we deliver full-scale, end-to-end IT solutions for Allianz in the digital age, D&I statement Allianz Technology is proud to be an equal opportunity employer encouraging diversity in the working environment We are interested in your strengths and experience We welcome all applications from all people regardless of gender identity and/or expression, sexual orientation, race or ethnicity, age, nationality, religion, disability, or philosophy of life, Join us Let?s care for tomorrow, You IT Allianz Group is one of the most trusted insurance and asset management companies in the world Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us, We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in, We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation, Join us Let's care for tomorrow,

Job Summary We are looking for a talented Data Scientist to join our team The ideal candidate will have a strong foundation in data analysis, statistical models, and machine learning algorithms You will work closely with the team to solve complex problems and drive business decisions using data This role requires strategic thinking, problem-solving skills, and a passion for data, Job Responsibilities Analyse large, complex datasets to extract insights and determine appropriate techniques to use, Build predictive models, machine learning algorithms and conduct A/B tests to assess the effectiveness of models, Present information using data visualization techniques, Collaborate with different teams (e-g , product development, marketing) and stakeholders to understand business needs and devise possible solutions, Stay updated with the latest technology trends in data science, Develop and implement real-time machine learning models for various projects, Engage with clients and consultants to gather and understand project requirements and expectations, Write well-structured, detailed, and compute-efficient code in Python to facilitate data analysis and model development, Utilize IDEs such as Jupyter Notebook, Spyder, and PyCharm for coding and model development, Apply agile methodology in project execution, participating in sprints, stand-ups, and retrospectives to enhance team collaboration and efficiency, Education IC Typically requires a minimum of 5 years of related experience Mgr & Exec Typically requires a minimum of 3 years of related experience, At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process, Equal Opportunity Employer NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification, Why NetApp We are all about helping customers turn challenges into business opportunity It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better but also to innovate We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches, We enable a healthy work-life balance Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life, If you want to help us build knowledge and solve big problems, let's talk,

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, 5 years of experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or 2 years of experience with a Master's degree, Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, Experience with developing machine learning models (supervised and unsupervised), Launch Experiments (A/B Testing), end-to-end Data infrastructure and Analytics pipelines, Experience with classification and regression, prediction and inferential tasks, training/validation criteria for machine learning algorithm performance, Experience in identifying opportunities for business/product improvement and defining the initiatives, Experience in developing new models, methods, analysis and approaches, About The Job Help serve Google's worldwide user base of more than a billion people Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions You will weave stories with meaningful insight from data You'll make critical recommendations for your fellow Googlers in Engineering and Product Management You relish tallying up the numbers one minute and communicating your findings to a team leader the next, Responsibilities Partner with Play/Apps Product Managers, Engineering, UX and other Play teams to understand user behaviors, design and analyze experiments and drive product insights to improve user experiences, Act as a thought partner to produce insights and metrics for various technical and business stakeholders across the Play/Apps team, Deliver presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information, Follow engineering best practice to create data pipelines and models, Develop and automate reports, build and prototype dashboards to provide insights for problem-solving needs, 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 ,

Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience, Experience in computational linguistics or engineering, Experience in working with customers, executives, and technical leads, Experience in building chatbots or voicebots, Preferred qualifications: Experience in building chatbots or voicebots with Dialogflow, with launching chatbot or voicebot applications, Experience building cloud-based conversational AI solutions, Experience with natural language processing and related concepts, Excellent leadership and collaboration skills in the field of AI or Machine Learning, Excellent communication, presentation and problem solving skills, About the jobAs a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships, You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources Google Cloud accelerates every organizations ability to digitally transform its business and industry We deliver enterprise-grade solutions that leverage Googles 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 Build virtual agent solutions on Googles core conversational AI platforms such as Dialogflow, Work with customer technical leads, client executives, and partners to scope, manage and deliver successful implementations of Contact Center AI solutions becoming a trusted advisor to decision makers throughout the engagement, Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for successful client outcomes Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on your field experience, Propose solution architectures and manage the deployment of cloud based virtual agent solutions according to complex customer requirements and implementation best practices, Travel approximately 30% of the time for client engagements, 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 ,

As a Product Data Taxonomy Specialist in our eCommerce organization at MilliporeSigma, you will play a critical role in ensuring data governance, compliance, and effective taxonomy management across our extensive portfolio of over 350,000 products. You will be accountable for evolving, expanding, and enriching our product data taxonomy structure to support a best-in-class shopping experience for our customers. Who Are You: Lead the development of product category taxonomies to effectively organize and categorize our expansive and diverse catalog of reagents, chemicals, and instrumentation. Establish and maintain effective taxonomy structures that enhance product categorization and facilitate data retrieval. Develop and maintain standard operating procedures (SOPs) for implementing taxonomy changes. Collaborate with our Product Teams on establishing requirements and enhancements to Taxonomy Management Service/Application Conduct competitive research on product taxonomy structures, both internally and externally. Analyze website metrics and product discovery behaviors to drive data-informed decisions. Collaborate with stakeholders to promote the availability of high-quality, trusted data as a strategic asset in support of operational effectiveness and decision-making. Monitor and evaluate product data quality on an ongoing basis, identifying areas for improvement and driving corrective actions. Mentor internal users on data governance principles, taxonomy management, and compliance requirements. Educate technical and non-technical audiences on information architecture concepts. Basic/Minimum Qualifications: 2+ years of experience in Scientific Taxonomy/Ontology and its applications to eCommerce Taxonomy management, Search Engine management, or Information Architecture Bachelors degree in Chemistry, Biology, Materials Science, Data Science, or a related field. Experience working with PIM systems Familiarity with digital marketing, web content development, and the implications of product data structure on marketing strategies Experience creating and communicating technical requirements to engineering teams Strong understanding of data management best practices, including taxonomy management, metadata management, data quality management, and compliance frameworks. Understand the flow of e-Commerce product catalog information from search to checkout Preferred Qualifications: Masters Degree in Chemistry, Biology, Materials Science, Data Science, or a related field. Experience with scientific products and laboratory workflows Familiarity with database management concepts, and experience with advanced data manipulation techniques Demonstrable ability to devise, communicate, and implement information architecture strategy Deep familiarity with taxonomies, ontologies, and classification systems and their management Familiarity with machine learning and natural language concepts and applications Adept at diving deep into search including algorithms and technical details Intellectually curious, technically savvy, detail oriented, entrepreneurial

As an Senior Automation Analyst, you will have the unique opportunity to influence and drive decisions with an advanced logical mindset, process oriented and a background in leveraging technologies to drive results. Provides primary support for assigned systems and applications. Works independently with limited support. Prior Experience in Healthcare domain will be an added advantage. Excellent interpersonal & competent analytical skills. Strong team player attitude to deliver necessary requirements on time and ability to work through obstacles under challenging circumstances. Should be able to work in shifts as required by the project. Be self-motivated and eager to engage in high impact, challenging engineering problems while continuously raising the standard of quality in our products and services. Willing to adapt new technologies and skills in automation. Key Responsibilities: Analyzes the business processes and assessing the automation potentials. Expertise in end-to-end development of bots and implementing the full life cycle of process automation solutions: identify automation opportunities, designing solutions, develop, test, & deploy using RPA, Chatbot, IDP, Test automation and etc... Expertise in designing and implementing intelligent automation solution using Machine Learning, Deep Learning, Python etc. Ability to build reusable components which can be shared and used across different projects to save efforts. Responsibilities to set a strategic direction for automation and managing day-to-day operations, establish high performing service delivery organization. Collaborates with others on the project to brainstorm and finding efficient ways to tackle technical, infrastructure, security, or development problem. Plans and accompanies the smooth transition from project to stable operations from a technical perspective, Demonstrate technical leadership with incident handling and troubleshooting. Ensures adequate technical project documentation. Develops automation portfolio gathering requirements from the functions / cross-functions. Actively manages and monitors the overall project schedule and milestones. Coordinates tasks and communication both within and outside of the project team, ensuring communication with all relevant stakeholders. Pro-actively assesses and mitigates project risks. Ability to familiarize himself / herself independently with entirely new subjects and thus provide comprehensive and innovative solutions. Minimum Qualifications: Minimum of 6+years of experience working with UiPath. Minimum 6 years of Experience with automation technologies like UiPath's RPA, Automation Hub, Process Mining, Insights, Document Understanding, AI Center, Action Center, RASA framework, AI/ML,NLP, Microsoft's Powerautomate and etc. Experience in UiPath's test automation solutions. Experience of development in agile methodology and following best practices. Experience in Project tracking and Defect Management tools such as JIRA, HP ALM and etc. Experience in one of the standard scripting languages such as Python,.NET, PL/SQL and etc. Experience in managing and maintaining applications hosted on cloud. Debugging and troubleshooting skills, with an enthusiastic attitude to support and resolve problems. Working knowledge of information security and best practices. Service Delivery Management mindset. Minimum of Bachelors degree or similar degree applicable experience within information systems. Excellent written and verbal communications skills. Preferred Qualifications: Experience in building dashboards and aggregating metrics. Experience building GenAI & RAG solution using Azure OpenAI. Flexibility to adopt to new technologies and drive initiatives to integrate these technologies with existing platform/technologies available. Exposure to working with RASA or other chatbot technologies. Exposure to large-scale systems and application architectures. Experience in creating and managing technical documents. Experience in GxP process will be an added advantage. Linux and Windows scripting (BASH and Powershell). Working knowledge of Network Topology and communications protocols e.g. TCP/IP, Telnet, SMTP, FTP. General DevOps automation, build, deployment, configuration of multiple environments.

As a member of the Data and Technology practice, you will be working on advanced AI ML engagements tailored for the investment banking sector. This includes developing and maintaining data pipelines, ensuring data quality, and enabling data-driven insights. Your core responsibility will be to build and manage scalable data infrastructure that supports our proof-of-concept initiatives (POCs) and full-scale solutions for our clients. You will work closely with data scientists, DevOps engineers, and clients to understand their data requirements, translate them into technical tasks, and develop robust data solutions. Your primary duties will encompass: Develop, optimize, and maintain scalable and reliable data pipelines using tools such as Python, SQL, and Spark. Integrate data from various sources including APIs, databases, and cloud storage solutions such as Azure, Snowflake, and Databricks. Implement data quality checks and ensure the accuracy and consistency of data. Manage and optimize data storage solutions, ensuring high performance and availability. Work closely with data scientists and DevOps engineers to ensure seamless integration of data pipelines and support machine learning model deployment. Monitor and optimize the performance of data workflows to handle large volumes of data efficiently. Create detailed documentation of data processes. Implement security best practices and ensure compliance with industry standards. Experience / Skills 5+ years of relevant experience in: Experience in a data engineering role , preferably within the financial services industry . Strong experience with data pipeline tools and frameworks such as Python, SQL, and Spark. Proficiency in cloud platforms, particularly Azure, Snowflake, and Databricks. Experience with data integration from various sources including APIs and databases. Strong understanding of data warehousing concepts and practices. Excellent problem-solving skills and attention to detail. Strong communication skills, both written and oral, with a business and technical aptitude. Additionally, desired skills: Familiarity with big data technologies and frameworks. Experience with financial datasets and understanding of investment banking metrics. Knowledge of visualization tools (e.g., PowerBI). Education Bachelors or Masters in Science or Engineering disciplines such as Computer Science, Engineering, Mathematics, Physics, etc.

Job Purpose As a key member of the DTS team, you will primarily collaborate closely with a leading global hedge fund on data engagements. Contribute to a variety of Development initiatives, focusing on cloud migration, automation, and application development, delivering scalable, efficient, and secure solutions, implementing DevOps best practices in multi-cloud environments, with a strong emphasis on Google Cloud Platform (GCP). Desired Skills and Experience Essential skills Bachelor's degree in computer science, Engineering, or a related field. 3+ experience in software development using C#, MSSQL, Python, and GCP/BigQuery. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Experience in code reviews and maintaining code quality. Ability to mentor and guide junior developers. Key Responsibilities Design and Development: Contribute to the design and development of innovative software solutions that meet business requirements. Application Development: Develop and maintain applications using specified technologies such as C#, MSSQL, Python, and GCP/BigQuery. Code Reviews: Participate in code reviews to ensure high-quality code and adherence to best practices. Troubleshooting: Troubleshoot and resolve technical issues promptly to ensure smooth operation of applications. Collaboration: Collaborate with cross-functional teams to integrate software solutions and achieve project goals. Mentorship: Provide technical guidance and mentorship to junior team members, fostering their growth and development. Key Metrics C#, MSSQL, Python GCP/BigQuery Exposure to Devops Behavioral Competencies Good communication (verbal and written) Experience in managing client stakeholders