108612 Ai Jobs - Page 29

Maximize Your Impact with TP Welcome to TP, a global hub of innovation and empowerment, where we redefine the future. With a remarkable €10 billion annual revenue and a global team of 500,000 employees serving 170 countries in over 300 languages, we lead in intelligent, digital-first solutions. As a globally certified Great Place to Work in 72 countries, our culture thrives on diversity, equity, and inclusion. We value your unique perspective and believe that your talent is the missing piece that completes our vision for a brighter, digitally driven tomorrow. The Opportunity This role involves overseeing the development, implementation, and management of core training programs aligned with clients' culture, communication training needs. Responsibilities include fostering individual development, defining budget requirements, and tracking training costs for both the company and clients. By creating a dynamic learning environment, this position enhances employee retention and satisfaction, contributing to the organization's overall growth. The Responsibilities & Duties Participating in calls with clients to understand requirements basis soft skills, language assessment and communication skills training and implement actions that meet client expectations Attending and represent weekly and monthly business reviews (WBR/MBR) with clients and operations for respective processes. Evaluating the quality of soft skills and communication training delivered using feedback tools, training quality scores, and training efficiency (conversion) scores and coordinating with functional training team with respect to the KPIs Ensuring complete audit coverage operator-wise as per audit plan and budgeted workforce Conducting audits to gauge the efficacy of testing systems and applications and continually update training materials as new products and processes are introduced. Leveraging AI technologies to create personalized learning paths, adaptive learning experiences, and intelligent tutoring systems. Use AI to analyse training data for actionable insights, implement AI-driven automation to streamline administrative tasks, and stay abreast of the latest AI developments to evaluate their impact on the organization's training programs. Representing the communication training function during client pitches to showcase the organization’s capabilities, achievements, and robust learning environment. Reviewing and redefining the end-to-end non-compliance monitoring process. The Qualifications Graduate/Postgraduate from a recognized university Minimum 12 years of language assessment and communication Training experience in an international BPO/outsourced or Service Industry environment and at least 5 years in a leadership role Experience in CSAT/ NPS metric management. Excellent in language proficiency and communication Excellent client management skills, presentation abilities, and stakeholder management Ability to coach, develop action plans which maximize performance and provide effective feedback Be flexible and work creatively and analytically in a problem-solving environment Pre-Employment Screenings By TP policy, employment in this position will be contingent on your successful completion and passage of a comprehensive background check, including global sanctions and watch list screening. Important | Policy on Unsolicited Third-Party Candidate Submissions TP does not accept candidate submissions from unsolicited third parties, including recruiters or headhunters. Applications will not be considered, and no contractual association will be established through such submissions. Diversity, Equity & Inclusion At TP, we are committed to fostering a diverse, equitable, and inclusive workplace. We welcome individuals from all backgrounds and lifestyles and do not discriminate based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or other differences.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: Responsibilities: · • Lead the development and deployment of AIML/generative AI models, managing full project lifecycles from conception to delivery. • Collaborate with senior stakeholders to identify strategic opportunities for AI applications, aligning them with business objectives. • Collaborate/Oversee teams of data scientists and engineers, providing guidance, mentorship, and ensuring high-quality deliverables. • Drive research and innovation in AI techniques and tools, fostering an environment of continuous improvement and learning. • Ensure compliance with data governance standards and ethical AI practices in all implementations. • Present AI insights and project progress to clients and internal leadership, adapting technical language to suit audience expertise levels. Mandatory skill sets: AI/ML, NLP, and Generative AI models, Preferred skill sets: Azure, Google Cloud Years of experience required: 7-8 Years Education qualification: Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or related discipline. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor Degree, Doctor of Philosophy Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Azure Devops Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: Responsibilities: · • Lead the development and deployment of AIML/generative AI models, managing full project lifecycles from conception to delivery. • Collaborate with senior stakeholders to identify strategic opportunities for AI applications, aligning them with business objectives. • Collaborate/Oversee teams of data scientists and engineers, providing guidance, mentorship, and ensuring high-quality deliverables. • Drive research and innovation in AI techniques and tools, fostering an environment of continuous improvement and learning. • Ensure compliance with data governance standards and ethical AI practices in all implementations. • Present AI insights and project progress to clients and internal leadership, adapting technical language to suit audience expertise levels. Mandatory skill sets: AI/ML, NLP, and Generative AI models, Preferred skill sets: Azure, Google Cloud Years of experience required: 7-8 Years Education qualification: Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or related discipline. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Doctor of Philosophy, Bachelor Degree Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Azure Devops Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: Responsibilities: · • Lead the development and deployment of AIML/generative AI models, managing full project lifecycles from conception to delivery. • Collaborate with senior stakeholders to identify strategic opportunities for AI applications, aligning them with business objectives. • Collaborate/Oversee teams of data scientists and engineers, providing guidance, mentorship, and ensuring high-quality deliverables. • Drive research and innovation in AI techniques and tools, fostering an environment of continuous improvement and learning. • Ensure compliance with data governance standards and ethical AI practices in all implementations. • Present AI insights and project progress to clients and internal leadership, adapting technical language to suit audience expertise levels. Mandatory skill sets: AI/ML, NLP, and Generative AI models, Preferred skill sets: Azure, Google Cloud Years of experience required: 7-8 Years Education qualification: Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or related discipline. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor Degree, Doctor of Philosophy Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Azure Devops Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: Responsibilities: · • Lead the development and deployment of AIML/generative AI models, managing full project lifecycles from conception to delivery. • Collaborate with senior stakeholders to identify strategic opportunities for AI applications, aligning them with business objectives. • Collaborate/Oversee teams of data scientists and engineers, providing guidance, mentorship, and ensuring high-quality deliverables. • Drive research and innovation in AI techniques and tools, fostering an environment of continuous improvement and learning. • Ensure compliance with data governance standards and ethical AI practices in all implementations. • Present AI insights and project progress to clients and internal leadership, adapting technical language to suit audience expertise levels. Mandatory skill sets: AI/ML, NLP, and Generative AI models, Preferred skill sets: Azure, Google Cloud Years of experience required: 7-8 Years Education qualification: Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or related discipline. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor Degree, Doctor of Philosophy Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Azure Devops Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: Responsibilities: · • Lead the development and deployment of AIML/generative AI models, managing full project lifecycles from conception to delivery. • Collaborate with senior stakeholders to identify strategic opportunities for AI applications, aligning them with business objectives. • Collaborate/Oversee teams of data scientists and engineers, providing guidance, mentorship, and ensuring high-quality deliverables. • Drive research and innovation in AI techniques and tools, fostering an environment of continuous improvement and learning. • Ensure compliance with data governance standards and ethical AI practices in all implementations. • Present AI insights and project progress to clients and internal leadership, adapting technical language to suit audience expertise levels. Mandatory skill sets: AI/ML, NLP, and Generative AI models, Preferred skill sets: Azure, Google Cloud Years of experience required: 7-8 Years Education qualification: Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or related discipline. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor Degree, Doctor of Philosophy Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Azure Devops Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: Responsibilities: · • Lead the development and deployment of AIML/generative AI models, managing full project lifecycles from conception to delivery. • Collaborate with senior stakeholders to identify strategic opportunities for AI applications, aligning them with business objectives. • Collaborate/Oversee teams of data scientists and engineers, providing guidance, mentorship, and ensuring high-quality deliverables. • Drive research and innovation in AI techniques and tools, fostering an environment of continuous improvement and learning. • Ensure compliance with data governance standards and ethical AI practices in all implementations. • Present AI insights and project progress to clients and internal leadership, adapting technical language to suit audience expertise levels. Mandatory skill sets: AI/ML, NLP, and Generative AI models, Preferred skill sets: Azure, Google Cloud Years of experience required: 7-8 Years Education qualification: Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or related discipline. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor Degree, Doctor of Philosophy Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Azure Devops Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Administrative Job Description & Summary At PwC, our people in business services and support focus on providing efficient and effective administrative support to enable smooth operations within the organisation. This includes managing schedules, coordinating meetings, and handling confidential information. Those working as assistants and office support at PwC will provide high-level administrative support to senior executives, including managing their schedules, coordinating meetings, and handling confidential information. You will play a crucial role in maintaining smooth operations and effective communication within the organisation. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Responsibilities: JD FOR EA Hiring:- Act as the point of contact among executives, employees, clients and other external partners · Manage information flow in a timely and accurate manner · Manage executives’ calendars and set up meetings · Make travel and accommodation arrangements · Rack daily expenses and prepare weekly, monthly or quarterly reports · Oversee the performance of other clerical staff · Act as an office manager by keeping up with office supply inventory · Format information for internal and external communication – memos, emails, presentations, reports · Take minutes during meetings · Screen and direct phone calls and distribute correspondence · Organize and maintain the office filing system Work experience as an Executive Assistant, Personal Assistant or similar role · Excellent MS Office knowledge. · Outstanding organizational and time management skills · Familiarity with office gadgets and applications (e.g. e-calendars and copy machines) · Excellent verbal and written communications skills · Discretion and confidentiality Mandatory skill sets: EA- Executive Assistant Preferred skill sets: EA- Executive Assistant Years of experience required: 7+ Education qualification: BE/BTech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Executive Assistance Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Administrative Support, Agile Database Administration, Business Process Improvement, Calendar Management, Clerical Support, Collaborative Forecasting, Communication, Communications Management, Concur Travel, Conducting Research, Confidential Information Handling, Corporate Records Management, Correspondence Management, Credentialing Database, Customer Relationship Management, Customer Service Excellence, Customer Service Management, Data Entry, Deployment Coordination, Electronic Billing, Electronic Filing, Electronic Records Management {+ 31 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

DataAnnotation is committed to creating quality AI. Join our team to help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule. We are looking for a Remote Interpreter to join our team and teach AI chatbots. You will have conversations in both Kannada and English with chatbots in order to measure their progress, as well as write novel conversations in order to teach them what to say. Benefits: This is a full-time or part-time REMOTE position You’ll be able to choose which projects you want to work on You can work on your own schedule Projects are paid hourly, starting at $20 USD per hour, with bonuses for high-quality and high-volume work Responsibilities (both in Kannada and English): Come up with diverse conversations over a range of topics Write high-quality answers when given specific prompts Compare the performance of different AI models Research and fact-check AI responses Qualifications: Fluent in Kannada + English (native or bilingual level) A bachelor's degree (completed or in progress) Excellent writing and grammar skills Strong research and fact-checking skills to ensure accuracy and originality Note: Payment is made via PayPal. We will never ask you for money. PayPal handles all currency conversions from USD. #kannada

Overview of 66degrees 66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. With our unmatched engineering capabilities and vast industry experience, we help the world's leading brands transform their business challenges into opportunities and shape the future of work. At 66degrees, we believe in embracing the challenge and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way. Overview of Role As the ideal Conversational Architect, you are someone who can do a deep technical dive and communicate effectively with others. Our Conversational Architects love to focus on the user experience and build complex virtual agents for our clients. Responsibilities Lead discovery workshops to capture business requirements, success criteria, and constraints to understand and prioritize, document virtual agent requirements, build virtual agents that are conversational, friendly, engaging and efficient Be able to present the conversational agents in Dialogflow CX to customers and work through QA issues, feedback, and troubleshooting Creatively solve problems using all components of Dialogflow CX - including generators, data stores, and generative fallback Work closely with product, development, and engineering teams to validate design solutions, and participate in iterative product enhancement cycles Create new concepts, wireframes, mockups, and prototypes based on internal requirements and creative briefs Establish visual and interactive standards documentation, and work with the development team to ensure that designs fit the technical specifications of the product or application Cultivate an understanding of industry trends and regularly use this information Qualifications 2-3+ years experience in Architecting, Designing, and Building virtual agent solutions (preferably Dialogflow CX) Experience bringing a virtual agent to market (or working on an already-deployed virtual agent), either externally for customers or internally for company associates Intimate knowledge of NLP, NLU, and the complexities of creating and maintaining strong models, intents, and entities Strong understanding of the importance of data to the overall virtual agent continuous improvement lifecycle Experience working with programming languages like Java or Python to pass data between source systems for use in virtual agent flows Experience designing for both chat and voice virtual agents a plus Prior experience with user dashboards or analytical applications is a plus (Looker, Tableau, Power BI, etc.) Excellent communication, presentation, and interpersonal skills, and the ability to articulate strategies to clients Up-to-date knowledge of web and mobile trends and technology, and thorough understanding of interface design and usability standards Strong conceptual skills and proven ability to create rapid wireframes/mockups and prototypes 66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.

Role Overview We are seeking a highly skilled and motivated System Engineer || Bangalore with 6+ years of experience. If you're passionate about coding, problem-solving, and innovation, we'd love to hear from you! About Us CodeVyasa is a mid-sized product engineering company that works with top-tier product/solutions companies such as McKinsey, Walmart, RazorPay, Swiggy, and others. We are about 550+ people strong and we cater to Product & Data Engineering use-cases around Agentic AI, RPA, Full-stack and various other GenAI areas. Key Responsibilities: Design, develop, and maintain Java-based applications for data processing and analytics. Implement efficient algorithms and data structures to optimize system performance. Work with query engines and databases to enable fast data retrieval and processing. Develop, test, and deploy large-scale data processing pipelines. Collaborate with cross-functional teams to gather requirements and deliver solutions. Ensure code quality, performance optimization, and adherence to best practices. Must-Have Skills: Strong proficiency in Java and Object-Oriented Programming (OOP) . Solid understanding of Data Structures & Algorithms . Experience with query engines (e.g., Apache Hive, Presto, Spark SQL, Trino). Hands-on experience with databases (SQL/NoSQL). Familiarity with large-scale data processing systems (e.g., Apache Spark, Hadoop, Flink). Good-to-Have Skills: Experience with distributed computing frameworks. Knowledge of performance tuning and optimization for large datasets. Familiarity with cloud-based data solutions (AWS, GCP, Azure). Why Join CodeVyasa? Work on innovative, high-impact projects with a team of top-tier professionals. Continuous learning opportunities and professional growth. Flexible work environment with a supportive company culture. Competitive salary and comprehensive benefits package. Free healthcare coverage.

Job Title: AI Implementor / AI Implementation Specialist Department: Technology / Innovation / Digital Transformation Reporting to: Head of Digital Transformation / CTO / CXO Job Type: Full-time / Contract / Freelance Experience Required: 1 year in tech or digital roles with strong AI exposure , Salary - 15 to 20 k Job Summary: We are seeking an AI Implementor who can bridge the gap between business needs and AI-powered solutions. This role is ideal for someone with a deep understanding of AI tools (like ChatGPT, Midjourney, Zapier, Make, etc.), automation platforms, and a passion for solving real-world problems with cutting-edge tech. You will be responsible for identifying AI use-cases, building workflows, integrating tools, and ensuring smooth implementation across departments. Key Responsibilities: Understand and analyze business operations to identify automation or AI enhancement opportunities. Design, test, and deploy AI-driven solutions using tools such as ChatGPT, GPT APIs, Make (Integromat), Zapier, and other automation platforms. Collaborate with cross-functional teams (Marketing, Sales, HR, Ops) to implement AI into workflows (e.g., chatbots, lead scoring, content generation, email automation, CRM updates, etc.). Customize pre-trained models or build prompt systems to suit internal use-cases. Create SOPs, training documentation, and provide internal training for AI tool usage. Monitor, troubleshoot, and optimize AI implementations for better results. Stay updated with the latest AI trends, tools, and features to proactively upgrade internal systems. Required Skills & Qualifications: Proven experience with tools like ChatGPT, Zapier, Make, Airtable, Notion AI, and similar platforms. Strong understanding of workflows, automation logic, and prompt engineering. Familiarity with APIs, no-code/low-code platforms, and data integration tools. Ability to translate business goals into technical processes and vice versa. Analytical mindset with problem-solving capability. Excellent communication and documentation skills. (Bonus) Knowledge of Python, JavaScript, or other scripting languages. (Bonus) Background in marketing, sales ops, or business automation. Nice to Have: Experience in AI project deployment in startups, marketing agencies, or digital-first businesses. Prior work in CRM integration, email personalization, data handling, or customer experience automation. Why Join Us: Be part of a forward-thinking team driving digital innovation. Opportunity to work on cutting-edge projects across multiple domains. Freedom to experiment, explore, and lead AI transformation initiatives. Flexible work environment and a learning-centric culture. Job Type: Full-time Pay: ₹15,000.00 - ₹25,000.00 per month Benefits: Cell phone reimbursement Health insurance Leave encashment Provident Fund Work Location: In person

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: About the Role: We are seeking a hands-on Data Engineer with 5-8 years of experience specializing in on-premises database migration to cloud. The ideal candidate will have a strong background in cloud migration whether on-premises to Azure cloud, or cloud to Azure cloud. Key Responsibilities: · Should have experience of database migration strategy and related technologies. · Experience of Microsoft SQL DB migration from on-prem to cloud platform. · Experience of any other cloud (e.g. AWS or GCP) to Azure cloud platform. · Review Database migration plans, provide recommendation and liaise with Customer and Migration Factory for successful migrations. · Ability to identify and resolve performance issues post-migration Required Skills: · Knowledge in using tools like Azure Data Studio, Azure DMA, Azure DMS, Azure SQL/MI · Familiarity with migrating SSIS packages using ADF. SSMA Migration Tool, Database migration using SSIS Packages · In-depth knowledge of SQL, TSQL and programming experience with stored procedures, triggers, functions, etc. · Stronger performance tuning (partitioning, exec plans, indexing etc.), data modeling experience and dacpac deployment experience, Stored Procedures Optimization · Extensive experience with Azure Data Services, including Azure Data Factory, Azure SQL Data Warehouse, and Synapse Analytics. · Strong understanding of database architecture principles and best practices. Preferred Qualifications: · Azure Solutions Architect Expert certification. · Knowledge of SQL Clustering/Always on Availability Groups, Azure SQL, SQL MI · Experience of CTS/Migration technologies. (Rehost/Clean Deployments) · Should have exp on Azure project and GitHib as Code Repo · Knowledge of setting up High Availability & Disaster Recovery configuration. · Experience in setting up Always ON Availability Groups & Zone Redundant Storage · Familiarity with Azure DevOps (ADO) for (CI/CD) pipelines, Infrastructure as Code (IaC) tools like Terraform for deploying container apps and associated services · Knowledge of security best practices and compliance requirements for cloud-based applications · Backup/recovery, Security related activities, Audit tracking and reporting · Maintaining and supporting, monitoring production and test environments · Implementing of High Availability such as Clustering, Database Mirroring, Log Shipping, and Replication Mandatory skill sets: · Knowledge in using tools like Azure Data Studio, Azure DMA, Azure DMS, Azure SQL/MI · Familiarity with migrating SSIS packages using ADF. SSMA Migration Tool, Database migration using SSIS Packages · In-depth knowledge of SQL, TSQL and programming experience with stored procedures, triggers, functions, etc. Preferred skill sets: · Azure Solutions Architect Expert certification. · Knowledge of SQL Clustering/Always on Availability Groups, Azure SQL, SQL MI · Experience of CTS/Migration technologies. (Rehost/Clean Deployments) · Should have exp on Azure project and Git Hib as Code Repo Years of experience required: Experience: 5-8 Years Education qualification: B.Tech / M.Tech / MCA/MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Database Migrations Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: About the Role: We are seeking a hands-on Data Engineer with 5-8 years of experience specializing in on-premises database migration to cloud. The ideal candidate will have a strong background in cloud migration whether on-premises to Azure cloud, or cloud to Azure cloud. Key Responsibilities: · Should have experience of database migration strategy and related technologies. · Experience of Microsoft SQL DB migration from on-prem to cloud platform. · Experience of any other cloud (e.g. AWS or GCP) to Azure cloud platform. · Review Database migration plans, provide recommendation and liaise with Customer and Migration Factory for successful migrations. · Ability to identify and resolve performance issues post-migration Required Skills: · Knowledge in using tools like Azure Data Studio, Azure DMA, Azure DMS, Azure SQL/MI · Familiarity with migrating SSIS packages using ADF. SSMA Migration Tool, Database migration using SSIS Packages · In-depth knowledge of SQL, TSQL and programming experience with stored procedures, triggers, functions, etc. · Stronger performance tuning (partitioning, exec plans, indexing etc.), data modeling experience and dacpac deployment experience, Stored Procedures Optimization · Extensive experience with Azure Data Services, including Azure Data Factory, Azure SQL Data Warehouse, and Synapse Analytics. · Strong understanding of database architecture principles and best practices. Preferred Qualifications: · Azure Solutions Architect Expert certification. · Knowledge of SQL Clustering/Always on Availability Groups, Azure SQL, SQL MI · Experience of CTS/Migration technologies. (Rehost/Clean Deployments) · Should have exp on Azure project and GitHib as Code Repo · Knowledge of setting up High Availability & Disaster Recovery configuration. · Experience in setting up Always ON Availability Groups & Zone Redundant Storage · Familiarity with Azure DevOps (ADO) for (CI/CD) pipelines, Infrastructure as Code (IaC) tools like Terraform for deploying container apps and associated services · Knowledge of security best practices and compliance requirements for cloud-based applications · Backup/recovery, Security related activities, Audit tracking and reporting · Maintaining and supporting, monitoring production and test environments · Implementing of High Availability such as Clustering, Database Mirroring, Log Shipping, and Replication Mandatory skill sets: · Knowledge in using tools like Azure Data Studio, Azure DMA, Azure DMS, Azure SQL/MI · Familiarity with migrating SSIS packages using ADF. SSMA Migration Tool, Database migration using SSIS Packages · In-depth knowledge of SQL, TSQL and programming experience with stored procedures, triggers, functions, etc. Preferred skill sets: · Azure Solutions Architect Expert certification. · Knowledge of SQL Clustering/Always on Availability Groups, Azure SQL, SQL MI · Experience of CTS/Migration technologies. (Rehost/Clean Deployments) · Should have exp on Azure project and Git Hib as Code Repo Years of experience required: Experience: 5-8 Years Education qualification: B.Tech / M.Tech / MCA/MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Database Migrations Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: About the Role: We are seeking a hands-on Data Engineer with 5-8 years of experience specializing in on-premises database migration to cloud. The ideal candidate will have a strong background in cloud migration whether on-premises to Azure cloud, or cloud to Azure cloud. Key Responsibilities: · Should have experience of database migration strategy and related technologies. · Experience of Microsoft SQL DB migration from on-prem to cloud platform. · Experience of any other cloud (e.g. AWS or GCP) to Azure cloud platform. · Review Database migration plans, provide recommendation and liaise with Customer and Migration Factory for successful migrations. · Ability to identify and resolve performance issues post-migration Required Skills: · Knowledge in using tools like Azure Data Studio, Azure DMA, Azure DMS, Azure SQL/MI · Familiarity with migrating SSIS packages using ADF. SSMA Migration Tool, Database migration using SSIS Packages · In-depth knowledge of SQL, TSQL and programming experience with stored procedures, triggers, functions, etc. · Stronger performance tuning (partitioning, exec plans, indexing etc.), data modeling experience and dacpac deployment experience, Stored Procedures Optimization · Extensive experience with Azure Data Services, including Azure Data Factory, Azure SQL Data Warehouse, and Synapse Analytics. · Strong understanding of database architecture principles and best practices. Preferred Qualifications: · Azure Solutions Architect Expert certification. · Knowledge of SQL Clustering/Always on Availability Groups, Azure SQL, SQL MI · Experience of CTS/Migration technologies. (Rehost/Clean Deployments) · Should have exp on Azure project and GitHib as Code Repo · Knowledge of setting up High Availability & Disaster Recovery configuration. · Experience in setting up Always ON Availability Groups & Zone Redundant Storage · Familiarity with Azure DevOps (ADO) for (CI/CD) pipelines, Infrastructure as Code (IaC) tools like Terraform for deploying container apps and associated services · Knowledge of security best practices and compliance requirements for cloud-based applications · Backup/recovery, Security related activities, Audit tracking and reporting · Maintaining and supporting, monitoring production and test environments · Implementing of High Availability such as Clustering, Database Mirroring, Log Shipping, and Replication Mandatory skill sets: · Knowledge in using tools like Azure Data Studio, Azure DMA, Azure DMS, Azure SQL/MI · Familiarity with migrating SSIS packages using ADF. SSMA Migration Tool, Database migration using SSIS Packages · In-depth knowledge of SQL, TSQL and programming experience with stored procedures, triggers, functions, etc. Preferred skill sets: · Azure Solutions Architect Expert certification. · Knowledge of SQL Clustering/Always on Availability Groups, Azure SQL, SQL MI · Experience of CTS/Migration technologies. (Rehost/Clean Deployments) · Should have exp on Azure project and Git Hib as Code Repo Years of experience required: Experience: 5-8 Years Education qualification: B.Tech / M.Tech / MCA/MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration) Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Database Migrations Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: About the Role: We are seeking a hands-on Data Engineer with 5-8 years of experience specializing in on-premises database migration to cloud. The ideal candidate will have a strong background in cloud migration whether on-premises to Azure cloud, or cloud to Azure cloud. Key Responsibilities: · Should have experience of database migration strategy and related technologies. · Experience of Microsoft SQL DB migration from on-prem to cloud platform. · Experience of any other cloud (e.g. AWS or GCP) to Azure cloud platform. · Review Database migration plans, provide recommendation and liaise with Customer and Migration Factory for successful migrations. · Ability to identify and resolve performance issues post-migration Required Skills: · Knowledge in using tools like Azure Data Studio, Azure DMA, Azure DMS, Azure SQL/MI · Familiarity with migrating SSIS packages using ADF. SSMA Migration Tool, Database migration using SSIS Packages · In-depth knowledge of SQL, TSQL and programming experience with stored procedures, triggers, functions, etc. · Stronger performance tuning (partitioning, exec plans, indexing etc.), data modeling experience and dacpac deployment experience, Stored Procedures Optimization · Extensive experience with Azure Data Services, including Azure Data Factory, Azure SQL Data Warehouse, and Synapse Analytics. · Strong understanding of database architecture principles and best practices. Preferred Qualifications: · Azure Solutions Architect Expert certification. · Knowledge of SQL Clustering/Always on Availability Groups, Azure SQL, SQL MI · Experience of CTS/Migration technologies. (Rehost/Clean Deployments) · Should have exp on Azure project and GitHib as Code Repo · Knowledge of setting up High Availability & Disaster Recovery configuration. · Experience in setting up Always ON Availability Groups & Zone Redundant Storage · Familiarity with Azure DevOps (ADO) for (CI/CD) pipelines, Infrastructure as Code (IaC) tools like Terraform for deploying container apps and associated services · Knowledge of security best practices and compliance requirements for cloud-based applications · Backup/recovery, Security related activities, Audit tracking and reporting · Maintaining and supporting, monitoring production and test environments · Implementing of High Availability such as Clustering, Database Mirroring, Log Shipping, and Replication Mandatory skill sets: · Knowledge in using tools like Azure Data Studio, Azure DMA, Azure DMS, Azure SQL/MI · Familiarity with migrating SSIS packages using ADF. SSMA Migration Tool, Database migration using SSIS Packages · In-depth knowledge of SQL, TSQL and programming experience with stored procedures, triggers, functions, etc. Preferred skill sets: · Azure Solutions Architect Expert certification. · Knowledge of SQL Clustering/Always on Availability Groups, Azure SQL, SQL MI · Experience of CTS/Migration technologies. (Rehost/Clean Deployments) · Should have exp on Azure project and Git Hib as Code Repo Years of experience required: Experience: 5-8 Years Education qualification: B.Tech / M.Tech / MCA/MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Database Migrations Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Company: Epiq Global Website: Visit Website Business Type: Enterprise Company Type: Product Business Model: B2B Funding Stage: IPO/Public Industry: Legal Tech Salary Range: ₹ 35-40 Lacs PA Job Description Epiq is a global leader in technology-enabled legal, compliance, and business services, partnering with law firms, corporations, financial institutions, and government agencies. With 6,200+ employees across 18 countries, we deliver expertise in eDiscovery, compliance, legal operations, contract management, restructuring, and business transformation. Leveraging AI, analytics, and automation, Epiq streamlines complex workflows to help clients achieve efficiency, security, and innovation at scale. Position Summary We are looking for a highly skilled Senior Software Engineer with deep expertise in Java Full Stack Development, Cloud technologies, and a strong foundation in Application Security. This role is part of a strategic engineering operations team, requiring hands-on technical leadership and end-to-end project ownership. As a Senior Developer, you will collaborate closely with lead engineers, business stakeholders, leadership, DevOps, and cross-functional teams to design and build robust, secure, and scalable applications. Key Responsibilities Lead the entire software development lifecycle: requirements gathering, design, development, implementation, and support. Solve complex business problems using strong analytical and problem-solving skills. Design and build scalable SaaS applications and manage cloud migrations. Explore and implement new technologies to enhance system performance, reliability, and maintainability. Build dashboards and visual tools to track system KPIs and metrics. Work extensively with modern Java frameworks like Spring Boot, Spring Security, Spring Cloud, and Quarkus. Drive DevOps and DevSecOps best practices across development workflows. Communicate technical solutions and insights effectively to leadership and stakeholders. Stay updated with advancements in AI/Gen AI and contribute to AI-driven improvements in engineering operations. Mentor junior developers, resolve technical challenges, and promote collaboration within the team. Required Qualifications And Skills Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field (B.Tech, MCA, MS). 8+ years of experience in software engineering. Strong architectural mindset with hands-on experience in Full Stack Development. Expertise in Java, Data Structures, and RDBMS. Proficiency in Spring Framework (Boot, Security, Data, Cloud) and/or Quarkus. Experience working on multiple cloud platforms (Azure, AWS, or GCP). Strong front-end development skills in React or Angular. Hands-on experience with API integration and design patterns. Experience with data visualization tools and libraries. Experience with Application Security is a Must. Knowledge of Cybersecurity, Data Security, or Data Breach domains is a plus. Familiarity with CI/CD pipelines, Kubernetes, SAST, DAST, TDD. Experience with Agile/Scrum and SDLC best practices. Proficiency in project management and collaboration tools. Excellent communication skills to engage with clients, leadership, and cross-functional teams. Java Certification is a plus.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: About the Role: We are seeking a hands-on Data Engineer with 5-8 years of experience specializing in on-premises database migration to cloud. The ideal candidate will have a strong background in cloud migration whether on-premises to Azure cloud, or cloud to Azure cloud. Key Responsibilities: · Should have experience of database migration strategy and related technologies. · Experience of Microsoft SQL DB migration from on-prem to cloud platform. · Experience of any other cloud (e.g. AWS or GCP) to Azure cloud platform. · Review Database migration plans, provide recommendation and liaise with Customer and Migration Factory for successful migrations. · Ability to identify and resolve performance issues post-migration Required Skills: · Knowledge in using tools like Azure Data Studio, Azure DMA, Azure DMS, Azure SQL/MI · Familiarity with migrating SSIS packages using ADF. SSMA Migration Tool, Database migration using SSIS Packages · In-depth knowledge of SQL, TSQL and programming experience with stored procedures, triggers, functions, etc. · Stronger performance tuning (partitioning, exec plans, indexing etc.), data modeling experience and dacpac deployment experience, Stored Procedures Optimization · Extensive experience with Azure Data Services, including Azure Data Factory, Azure SQL Data Warehouse, and Synapse Analytics. · Strong understanding of database architecture principles and best practices. Preferred Qualifications: · Azure Solutions Architect Expert certification. · Knowledge of SQL Clustering/Always on Availability Groups, Azure SQL, SQL MI · Experience of CTS/Migration technologies. (Rehost/Clean Deployments) · Should have exp on Azure project and GitHib as Code Repo · Knowledge of setting up High Availability & Disaster Recovery configuration. · Experience in setting up Always ON Availability Groups & Zone Redundant Storage · Familiarity with Azure DevOps (ADO) for (CI/CD) pipelines, Infrastructure as Code (IaC) tools like Terraform for deploying container apps and associated services · Knowledge of security best practices and compliance requirements for cloud-based applications · Backup/recovery, Security related activities, Audit tracking and reporting · Maintaining and supporting, monitoring production and test environments · Implementing of High Availability such as Clustering, Database Mirroring, Log Shipping, and Replication Mandatory skill sets: · Knowledge in using tools like Azure Data Studio, Azure DMA, Azure DMS, Azure SQL/MI · Familiarity with migrating SSIS packages using ADF. SSMA Migration Tool, Database migration using SSIS Packages · In-depth knowledge of SQL, TSQL and programming experience with stored procedures, triggers, functions, etc. Preferred skill sets: · Azure Solutions Architect Expert certification. · Knowledge of SQL Clustering/Always on Availability Groups, Azure SQL, SQL MI · Experience of CTS/Migration technologies. (Rehost/Clean Deployments) · Should have exp on Azure project and Git Hib as Code Repo Years of experience required: Experience: 5-8 Years Education qualification: B.Tech / M.Tech / MCA/MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration) Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Database Migrations Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Are you the 1 in 3978 Systems Analyst who love evaluating AI platforms but are stuck in at a traditional company that is not advanced? *Note: Job Based Onsite in Dubai (Full Relocation & Visa Sponsorship Provided)* You're at the top of your game. You've mastered complex SaaS platform analysis, tamed complex software evaluations, and can build a comparative matrix in your sleep. But you're hitting a ceiling! You're tired of your recommendations gathering dust in endless reports, fighting for the attention of leaders who don't understand the tech, and feeling like your true impact is being diluted. You know you have the talent to architect a company's technological future, but you're stuck in a role that asks you to maintain, not build. Well, here is an invitation to the next chapter in your career. We believe elite talent deserves a premium commitment. We back our vision with two things you won't find anywhere else: a world-class lifestyle and the world's most advanced AI-Native toolbox . Your Reward (The Lifestyle): A highly competitive and transparent salary of AED 15,000 - AED 25,000/month + up to 10% performance bonus, all tax-free and top in class. Your Toolbox (The Unfair Advantage): While other companies are forming committees to discuss AI, we are rebuilding our entire business around it. You will not be a supporting analyst; you will be our AI scout, working in a truly AI-first environment with a direct line to our Chief AI Operations Officer. This is a competitive advantage that few Evaluation Specialists in the world will have. At Puffy, we're not just offering a job. We're offering you a plan to realize your full potential: Directly Architect Our AI-Powered Future: You won't just evaluate software—you will work directly with our Chief AI Operations Officer to proactively discover, test, and select the emerging AI / SaaS tools that will define our strategy. Your analysis will be the company's roadmap. Act with Radical Freedom: We've eliminated the red tape that suffocates A-Players. You'll have the mandate and autonomy to conduct rapid, hands-on evaluations and deliver decisive recommendations that get implemented immediately, without layers of approval. Experience True Impact: Work within an organization led by our Forbes Council Member CEO, gaining exposure to elite-level business operations and thought leadership. You will see the direct line from your tool discovery to our business transformation. You won’t just write reports; you will be the catalyst for adopting the technology that gives Puffy a decisive edge on a global stage. This role is for you if: You have a 3+ year history of not just analyzing software , but translating its potential into clear, actionable business value . You are obsessed with AI from a user's perspective and can rapidly master new tools, separating market hype from true strategic impact. You use data, hands-on testing, and weighted scoring to build irrefutable business cases that drive swift and decisive action. The Puffy DNA: We’re restless, perpetually hungry, and fast-paced , driven by an unwavering belief that we can outperform any competitor — regardless of their size. Let's understand what success means for you: Be the Owner: We don't hire employees; we welcome owners. You are given the autonomy to make decisions and the expectation to see them through. You proactively identify and solve problems beyond your defined role, because you’re accountable for results - not activity. Execute with Urgency: Our mission demands relentless speed and precision. We thrive in a high-stakes, dynamic environment by making thoughtful decisions quickly, acting decisively and operating with a constant sense of purpose that separates us from the competition. Demand Excellence: We are not here to do what's easy; we are here to solve the hard problems that others can't. You will push the boundaries of your craft and insist on the highest standards to deliver impactful results. Go All-In: When the mission demands it, we rally as one team to cross the finish line. Critical projects require critical commitment, and here, going all-in means you’ll grow faster, achieve more, and be part of wins worth working for. Here's What Success Looks Like: In 12-24 months, you will have become the company's subject matter expert in applied AI, accelerated your path to a strategic leadership role, and be living a tax-free, world-class lifestyle in Dubai. You will look back at this as the moment your career transformed from being a great Analyst to being a true technology architect. The Alternative is clear: another year in a role where your potential is capped and your best ideas die in committee. Ready to Shape Your Story? Click "Apply" and take the first step. Our streamlined 3-phase hiring process is designed for elite talent like you. If you pass our online assessment, you could be invited to Phase 2 within one business day.

Company Description At Eco AI Media, we provide end-to-end marketing solutions driven by intelligent automation and strategic insight. Our AI-powered approach ensures consistency, efficiency, and relevance across both digital and offline channels. Guided by our core values of clarity, creativity, and conscious growth, we build meaningful connections rather than just marketing. Every touchpoint is thoughtfully crafted to resonate, engage, and deliver real impact. Role Description This is a full-time on-site role for a Paid Media Specialist located in Hyderabad. The role involves planning and executing paid media campaigns, researching market trends, and optimizing media strategies. The specialist will work closely with the marketing team to ensure ads meet performance metrics and contribute to overall marketing goals. Qualifications Media Planning and Research skills Strong Communication and New Media skills Experience in Marketing and Media campaigns Excellent analytical and problem-solving skills Relevant degree in Marketing, Communications, or related field Ability to work effectively in a team-oriented environment Familiarity with AI-based marketing tools is a plus Experience is Meta, Google, Linkedin ADs Experience is Budget planning. GMB, SEO , SMO

Requirements Description and Requirements Position Summary MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science Role Value Proposition: We are looking for you: high performing data and analytics professional - driven by passion and purpose, to drive quality standards and support end-to-end development of actionable, high-impact AI solutions for MetLife’s enterprise functions and lines of businesses across markets. This position requires hands-on experience of developing an end-to-end Machine Learning/AI solution that can be leveraged for maximum business impact through on prem /cloud in both real time and batch mode depending upon business requirements. The role would collaborate with multiple stakeholders under the guidance of Lead/Director Data scientists to develop robust, stable, and scalable advanced analytics/machine learning solutions leveraging new age methodologies/techniques. Superior problem-solving ability, curiosity, strong coding skills and attention to detail are the key success factors. Job Responsibilities Expert-level proficiency in at least one statistical tool language (R, Python) with a strong preference towards Python with excellent debugging skills Strong conceptual understanding of machine learning algorithms including linear regressions, classification algorithms, time series techniques, topic modeling etc. Good written, oral communication with ability to communicate effectively with stakeholders Basic to mid-level understanding of the insurance risk selection, underwriting practices and experience in analyzing the insurance portfolios is a plus Mentoring skills are considered as a plus Experience with Big Data platforms – Hadoop (Hive, Pig, Map Reduce, HQL)/Spark/H2O-Linux environment is considered as a plus Experience in technologies like Azure and advanced analytics concepts like Simulation, Deep Learning etc. are considered as a plus Knowledge, Skills And Abilities Education Bachelor’s degree in a quantitative field required; Masters or PHD preferred Experience 5-8 years of experience in insurance analytics, data science or similar function Work with Lead Data Scientist to translate given business problem into analytical use-cases with defined outcomes Collaborate with Data Scientists to develop, implement and test most appropriate algorithms for a given use-case; be able to review the work of data scientists and provide guidance Translate statistical analysis to insights and recommendations and work with Data Engineers to automate / production Alize them Ensure coding standards as well as designing standards to ensure reusability Drive innovation by enhancing existing solutions and designing new ones Build collaboration and awareness in the global analytics community About MetLife Recognized on Fortune magazine's list of the 2025 "World's Most Admired Companies" and Fortune World’s 25 Best Workplaces™ for 2024, MetLife , through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by empathy, we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible . Join us!

Lyric, formerly ClaimsXten, is a leading healthcare technology company, committed to simplifying the business of care. Over 30 years of experience, dedicated teams, and top technology help deliver more than $14 billion of annual savings to our many loyal and valued customers—including 9 of the top 10 payers across the country. Lyric’s solutions leverage the power of machine learning, AI, and predictive analytics to empower health plan payers with pathways to increased accuracy and efficiency, while maximizing value and savings. Lyric’s strong relationships as a trusted ally to customers resulted in recognition from KLAS as “true partner” and “excellent value for investment,” with a top score for overall customer satisfaction and A+ likelihood to recommend in their October 2023 Payment Integrity and Accuracy Report. Discover more at Lyric.ai. The AI Engineer is an ML engineer who is responsible for building and optimizing machine learning models, retrieval-augmented generation (RAG) systems, and verifiable ML systems that transform how we search and analyze complex medical and insurance data. This role requires a deep understanding of machine learning, LLM technologies, data science, and software engineering. This is an ML-engineering role and not a data science role , which means you should be comfortable building production-ready systems. This is not a research role. This is a Hybrid role in the HYD office, 3 days a week. Job Responsibilities Data engineering: Design and optimize systems capable of processing large volumes of data in both batch and real-time. Design, implement, and optimize retrieval-augmented generation (RAG) systems that leverage the latest LLM technologies to deliver highly relevant search results at scale. Develop and refine embedding models, vector databases, and retrieval mechanisms that maximize search relevance while minimizing latency and operational costs. Create robust evaluation frameworks to measure quality, continuously improve our LLM-based solution based on user feedback and performance metrics. Build and optimize machine learning models and verifiable ML systems that transform how we search and analyze complex medical and insurance data. Build and optimize production-ready systems that are scalable and can handle large amounts of data. Build and optimize agentic systems that can reason and make decisions. Develop machine learning models in healthcare and insurance settings with the highest standards for safety and quality. Stay on top of AI and ML security and governance requirements. Basic Requirements BS in Computer Science (concentration on machine learning/AI), Engineering, Statistics, or a related field At least three (3) years of industry experience and specifically with some of the recent Gen AI technologies. Experience with containerization, Kubernetes, and cloud-native ML technologies such as Kubeflow. Experience with CI/CD pipelines and automated testing. High level of proficiency with Python and several ML frameworks. Preferred Requirements Experience with medical coding and clinical policy analysis. Exposure to USA healthcare insurance will be an advantage. Strong understanding of clinical coding standards (e.g., ICD-10, CPT, HCPCS) is an advantage.

Company: APTY Website: Visit Website Business Type: Startup Company Type: Product Business Model: B2B Funding Stage: Pre-seed Industry: Technology, Information and Internet Salary Range: ₹ 6-12 Lacs PA Job Description About Apty: Apty is a fast-growing, AI-powered Digital Adoption Platform (HQ: Austin, TX) helping enterprises improve software adoption, productivity, and compliance through real-time, in-app guidance and automation. Backed by $12.9M funding, Apty serves global clients across Salesforce, Workday, Oracle, and more. Role Overview We are looking for a talented Full Stack Developer with 2–5 years of experience to join our dynamic team in Hyderabad. As a Senior Full Stack Developer at Apty, you will contribute to the design, development, and maintenance of cutting-edge web applications and browser extensions that serve enterprise clients worldwide. You should have strong problem-solving skills and be proficient in both front-end and back-end technologies. Key Responsibilities Develop responsive and user-friendly web interfaces using HTML, CSS, and React.js. Build robust server-side applications and APIs using Node.js. Design and manage relational databases using SQL. Collaborate with cross-functional teams to gather requirements and translate them into technical solutions. Debug, troubleshoot, and enhance existing applications for optimal performance and scalability. Ensure code quality through reviews, testing, and adherence to best practices. Stay updated with the latest trends and technologies. Requirements Qualifications Education: Bachelor's degree in Computer Science, Engineering, or a related field. Strong programming and problem-solving skills. Proficiency in HTML, CSS, and React.js for front-end development. Experience with Node.js for back-end development. Good understanding of relational databases, including SQL. Familiarity with RESTful APIs and web application architecture. Benefits An opportunity to work with a fast-growing SaaS company impacting millions of users globally. A collaborative and inclusive work environment. Opportunities for professional growth and skill development. Competitive salary and benefits package.

Job Title: AI ENGINEER Location: HYDERABAD, INDIA Company: KILONEWTONS Website: www.kilonewtons.com Experience: 5+ Years in AI/ML Development Job Description KILONEWTONS is seeking a talented AI ENGINEER to join our Hyderabad AI Research Center. You’ll develop cutting-edge artificial intelligence solutions that transform industries while working with our global team of experts. Key Responsibilities Design and implement machine learning models for real-world applications Develop and optimize deep learning architectures (CNNs, RNNs, Transformers) Build NLP systems for text classification, generation, and understanding Create computer vision solutions for image/video analysis Deploy AI models at scale using cloud platforms Collaborate with data engineers to build robust pipelines Stay updated with latest AI research papers and techniques Mentor junior engineers in AI best practices Must-Have Skills 5+ years hands-on AI/ML experience Expertise in: Deep Learning Frameworks: TensorFlow, PyTorch, Keras NLP: BERT, GPT, Transformer models Computer Vision: OpenCV, YOLO, Image Segmentation Model Deployment: Flask, FastAPI, Docker Proficient with: Python (NumPy, Pandas, Scikit-learn) Cloud AI Services (AWS SageMaker, GCP AI) MLOps tools (MLflow, Kubeflow) Big Data Technologies (Spark, Hadoop) Bonus Skills: Reinforcement Learning Generative AI (Diffusion Models, GANs) Edge AI Deployment Why Join KILONEWTONS Hyderabad? Best-in-class compensation + stock options State-of-the-art AI research lab High-end GPU workstations Global collaboration opportunities Free meals & premium snacks Fast-track career growth How to Apply? Submit Your Updated CV highlighting AI projects GitHub profile with relevant code samples Research papers/publications (if any) Email: careers@kilonewtons.com Subject: “AI ENGINEER Application – Hyderabad – [Your Name]” Careers Portal: www.kilonewtons.com/careers

We’re Hiring – Python Data Experts Join our Performance Marketing AI/ML projects and work on cutting-edge data visualization and engineering. Roles Open: 30 Data Scientists / Visualization Experts 20 Data Engineers You should have: Advanced Python skills (pandas, matplotlib, plotly, bokeh, dash) Data wrangling and large dataset handling experience Interactive dashboard creation expertise (Bonus) BI tools: Tableau, Power BI, Looker Remote | Contract | Flexible Apply now: https://forms.gle/CsNS4SyVkekmuoJZA Only shortlisted candidates will be contacted. #DataScience #DataEngineering #Python #DataVisualization #DataJobs #RemoteWork #FreelanceJobs #MachineLearning #AIML #BusinessIntelligence #Dashboards #Plotly #Matplotlib #DataWrangling #BigData #Tableau #PowerBI #Bokeh #Dash