946 Dataset Jobs - Page 12

Description Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. Basic Qualifications Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in Spanish language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA Preferred Qualifications Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Haryana Job ID: A3033825

Description Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. Basic Qualifications Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in Spanish language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA Preferred Qualifications Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Haryana Job ID: A3033830

Description Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. Basic Qualifications Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in Spanish language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA Preferred Qualifications Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Haryana Job ID: A3033844

Description Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. Basic Qualifications Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in Spanish language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA Preferred Qualifications Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Haryana Job ID: A3033855

Description Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. Basic Qualifications Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in Spanish language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA Preferred Qualifications Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Haryana Job ID: A3033852

Description Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. Basic Qualifications Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in Spanish language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA Preferred Qualifications Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Haryana Job ID: A3033854

Description Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. Basic Qualifications Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in Spanish language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA Preferred Qualifications Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Haryana Job ID: A3033832

About the company SBI Card is a leading pure-play credit card issuer in India, offering a wide range of credit cards to cater to diverse customer needs. We are constantly innovating to meet the evolving financial needs of our customers, empowering them with digital currency for seamless payment experience and indulge in rewarding benefits. At SBI Card, the motto 'Make Life Simple' inspires every initiative, ensuring that customer convenience is at the forefront of all that we do. We are committed to building an environment where people can thrive and create a better future for everyone. SBI Card is proud to be an equal opportunity & inclusive employer and welcome employees without any discrimination on the grounds of race, colour, gender, religion, creed, disability, sexual orientation, gender identity, marital status, caste etc. SBI Card is committed to fostering an inclusive and diverse workplace where all employees are treated equally with dignity and respect which makes it a promising place to work. Join us to shape the future of digital payment in India and unlock your full potential. What’s in it for YOU SBI Card truly lives by the work-life balance philosophy. We offer a robust wellness and wellbeing program to support mental and physical health of our employees Admirable work deserves to be rewarded. We have a well curated bouquet of rewards and recognition program for the employees Dynamic, Inclusive and Diverse team culture Gender Neutral Policy Inclusive Health Benefits for all - Medical Insurance, Personal Accidental, Group Term Life Insurance and Annual Health Checkup, Dental and OPD benefits Commitment to the overall development of an employee through comprehensive learning & development framework Role Purpose Responsible for managing Real time Management operations of Outbound Dialer and performing analysis on the dataset & Report management. Role Accountability Responsible for facilitation of Dialer strategy and Dialer Metric Monitor all agents are logged into dialer system to assure agents logged into appropriate campaigns for each department group and to maximize utilization of agent productivity while logged into campaigns Collaborate with IT and Process owners for Automation of processes leading to productivity Increase Implement and execute approved dialer strategies Ensure parity across sites for the processes / procedures / strategies implemented Track daily activity closure and timelines Ensure all approvals are in place for any change implemented in dialer strategy Required to work in a 24*7 environment on rotational shifts/week-offs as per business process requirements Ensure a continued work routine as per business process requirements Ensure all tasks listed below are completed daily. Scrubbing Access Activity Import/Export Data Table Assign Filter Check Fresh/Import/call table Access Activity Scheduler For DR Scheduler For DC File placing shared drive File placing on vender location drive Measures of Success RCA & Reporting Strategies to ensure better connect & conversion Reduction in cost to serve Timely mitigation of foreseeable risk Timely and error free running of the dialer Overall Connect/Contact & Coverage achievement Overall Abandonment Rate Process adherence as per SOP Any new campaigns from services & sales perspective. Technical Skills / Experience / Certifications Knowledge of WFM & outbound dialer Expertise in MS Office tools Experience in the arena of Managing Aspect and Dialer Management Competencies critical to the role Teamwork and Collaboration Business Acumen Problem Solving Stakeholder Management Qualification Graduate in any discipline Preferred Industry FSI

DESCRIPTION Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. BASIC QUALIFICATIONS Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in Spanish language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA PREFERRED QUALIFICATIONS Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, HR, Gurugram Editorial, Writing, & Content Management

Job Summary We are seeking a seasoned analytics leader to head enterprise analytics initiatives, with a focus on delivering actionable insights, enabling self-service BI, and scaling data science capabilities across the organization. The ideal candidate will bring deep expertise in Power BI, SQL, Microsoft Fabric, ELT pipelines, and applied data science, along with a proven record of driving value through data-driven decision-making. Key Responsibilities Strategic Leadership Define and execute enterprise analytics strategy aligned with business goals. Champion a data-driven culture across departments, enabling effective decision-making through analytics. Collaborate with cross-functional leadership to prioritize analytical initiatives and drive adoption. Business Intelligence (Power BI) Lead the design, development, and optimization of enterprise-grade dashboards and reporting systems using Power BI. Establish Power BI governance including dataset management, workspace structuring, DAX standards, and row-level security (RLS). Mentor and develop Power BI developers and analysts across teams. Drive adoption of Microsoft Fabric, including integration of OneLake, Lakehouse, Data Factory, and Delta Lake for seamless data experiences. Manage and optimize Power BI/Fabric workspaces, datasets, and capacity, ensuring best practices in performance, security, and usability. Data Science & Advanced Analytics Drive analytical use cases using Python and machine learning techniques to solve complex business problems. Collaborate with business stakeholders to develop and track KPIs, performance models, and hypothesis testing frameworks. Data Engineering & ELT Oversee data integration, transformation, and modeling efforts using ELT pipelines and modern data stack tools. Ensure high-quality, well-documented, and timely data pipelines feeding into analytics platforms. Work with IT/Data Engineering to define data lake and data warehouse architectures. SQL & Data Operations Review and optimize SQL queries for performance across large datasets. Promote best practices in query writing, indexing, and data retrieval across analytics teams. Ensure clean, validated, and trusted data layers for reporting and modeling. Governance, Compliance & Performance Establish best practices for data quality, security, and compliance with regulatory requirements (e.g., GDPR, ISO). Monitor usage analytics and platform performance, driving improvements and cost optimization. Develop training plans and guidelines for democratizing analytics access. Qualifications & Skills Required: 15+ years of progressive experience in analytics, business intelligence, and data science. Expertise in Power BI , including DAX, Power Query (M), and Power BI Service. Strong SQL proficiency, with ability to query, transform, and validate large datasets. Working knowledge of data pipelines , ETL/ELT using tools like Azure Data Factory, SSIS, or DBT. Proven experience in data science , machine learning, and statistical modeling (using Python, R). Excellent stakeholder engagement, business acumen, and communication skills. Preferred: Experience with cloud platforms (Azure, AWS, GCP), especially Azure Synapse, Azure Data Lake, and Power Platform. Knowledge of CI/CD pipelines for BI or data science projects. Prior experience in manufacturing, FMCG, financial services, or retail analytics is a plus. Certifications: Microsoft Power BI, Azure Data Engineer/Scientist, or equivalent.

What You'll Be Doing: Lead the creation and curation of a specialized Physics dataset focused on skills mentioned below. Review and validate Physics content for accuracy, relevance, and subject value Establish quality control standards and review frameworks for dataset development Make authoritative decisions on content inclusion, modification, or removal, and implement action plans to address quality issues or knowledge gaps Collaborate with AI researchers to understand model training requirements Document dataset creation methodologies and quality assurance processes What We're Looking For: MSc or PhD in Physics is required, with extensive knowledge and expertise in domains given below. Strong understanding of chemistry concepts at advanced levels Experience in academic review or content validation preferred Excellent attention to detail and analytical thinking skills, along with strong written and verbal communication abilities Good to have: Experience tutoring postgraduate-level students Familiarity with Question bank Creation at Postgraduate level. Experience in academic research or teaching in Physics Required Domain Knowledge Classical Mechanics Electromagnetism Thermodynamics Statistical Mechanics Quantum Mechanics Nuclear Physics

• A Bachelor’s Degree and relevant work experience of 3+ years. • Excellent level of English and German, C1 level or above. • Candidate must demonstrate ability to analyze and interpret complex SOPs. • Excellent problem-solving skills with a proactive approach to identifying and implementing process improvements. • Strong communication and interpersonal skills to effectively guide and mentor associates. • Ability to work collaboratively with cross-functional teams. • Thoroughly understand multiple SOPs and ensure adherence to established processes. • Identify areas for process improvement and SOP enhancement, and develop actionable plans for implementation. • Lead and participate in process improvement initiatives. • Comfortable working in a fast paced, highly collaborative, dynamic work environment · Willingness to support several projects at one time, and to accept re-prioritization as necessary. • Adaptive to change and able to work in a fast-paced environment. At Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cuttingedge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities The candidate actively seeks to understand Amazon’s core business values and initiatives, and translates those into everyday practices. Some of the key result areas include, but not limited to: • Experience in managing process and operational escalations • Driving appropriate data oriented analysis, adoption of technology solutions and process improvement projects to achieve operational and business goal • Managing stakeholder communication across multiple lines of business on operational milestones, process changes and escalations • Communicate and take the lead role in identifying gaps in process areas and work with all stakeholders to resolve the gaps • Be a SME for the process and a referral point for peers and junior team members • Has the ability to drive business/operational metrics through quantitative decision making, and adoption of different tools and resources • Ability to meet deadlines in a fast paced work environment driven by complex software systems and processes • Ability to perform deep dive in the process and come up with process improvement solutions • Shall collaborate effectively with other teams and subject matter experts (SMEs), Language Engineers (LaEs) to support launches of new process and services Experience with Artificial Intelligence interaction, such as prompt generation. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Position Overview We are seeking an experienced SAS Programmer - Pharmaceutical to join our clinical programming team. The successful candidate will be responsible for developing, testing, and maintaining SAS programs for clinical trial data processing, CDISC dataset creation, and regulatory submission deliverables in compliance with pharmaceutical industry standards. Key ResponsibilitiesSAS Programming & Development Develop and maintain complex SAS programs for clinical trial data processing and transformation Create SDTM (Study Data Tabulation Model) datasets from raw clinical data Build ADaM (Analysis Data Model) datasets for statistical analysis Generate tables, listings, and figures (TLFs) using SAS procedures Develop reusable SAS macros and standard programming libraries Optimize SAS code for performance and efficiency Data Processing & Validation Transform and clean clinical trial data using SAS DATA steps and procedures Implement data validation checks and quality control processes Create and maintain data derivation specifications and programming documentation Perform dataset reconciliation and data integrity checks Debug and troubleshoot SAS programs to ensure accurate outputs CDISC Implementation Implement CDISC standards (SDTM, ADaM) using SAS programming Create and maintain CDISC-compliant datasets for regulatory submissions Develop define.xml files and associated documentation Ensure metadata consistency across programming deliverables Support CDISC validation and compliance reviews Regulatory Support Prepare SAS programs and datasets for regulatory submissions (NDA, BLA, IND) Ensure programming deliverables meet FDA, EMA, and other regulatory requirements Support regulatory inspections by providing programming documentation Maintain 21 CFR Part 11 compliance in all programming activities Create and maintain programming specifications and validation documentation Technical Collaboration Work with biostatisticians to understand analysis requirements and specifications Collaborate with data managers on database design and data transfer processes Support clinical teams with ad-hoc programming requests and data queries Participate in UAT (User Acceptance Testing) and validation activities Provide technical guidance to junior programmers Required QualificationsTechnical Skills Advanced proficiency in SAS programming (Base SAS, SAS/STAT, SAS/GRAPH, SAS Macro) Strong experience with SAS DATA steps, procedures, and functions Proficiency in SQL and database programming Experience with CDISC standards implementation (SDTM, ADaM) Knowledge of clinical trial data structures and pharmaceutical data flows Understanding of regulatory requirements for pharmaceutical submissions Experience Bachelor's degree in Computer Science, Statistics, Mathematics, or related field 3-5 years of SAS programming experience in pharmaceutical/biotech environment Hands-on experience with clinical trial programming and CDISC datasets Experience with regulatory submission programming deliverables Knowledge of clinical research processes and Good Clinical Practice (GCP) Programming Competencies Expertise in SAS macro programming and automation Experience with complex data manipulations and transformations Proficiency in creating and maintaining programming documentation Strong debugging and troubleshooting skills Experience with version control systems and programming best practices Preferred QualificationsAdvanced Technical Skills Experience with SAS Enterprise Guide, SAS Studio, or SAS Viya Knowledge of other programming languages (R, Python, SQL) Experience with cloud-based SAS environments (AWS, Azure) Familiarity with clinical data standards beyond CDISC (HL7 FHIR, etc.) Experience with automated testing and validation frameworks Industry Experience Experience across multiple therapeutic areas and study phases Knowledge of adaptive trial designs and complex study protocols Experience with global regulatory submissions and requirements Familiarity with electronic submission formats (eCTD, STDM) Experience with clinical trial management systems and EDC platforms Certifications SAS Certified Base Programmer SAS Certified Advanced Programmer CDISC certification (preferred) Technical EnvironmentSAS 9.4 or SAS Viya platform Windows/Linux server environments Oracle, SQL Server, or other enterprise databases Version control systems (Git, SVN) Clinical trial management and EDC systems Working ConditionsHybrid/remote work flexibility Collaborative programming team environment Project-based work with varying deadlines Occasional overtime during submission timelines Professional development and training opportunities

Kyndryl Data Science Bengaluru, Karnataka, India Gurugram, Haryana, India Hyderabad, Telangana, India Chennai, Tamil Nadu, India Pune, Maharashtra, India Pune, Maharashtra, India Sector 135, Noida, Uttar Pradesh, India Posted on Jul 14, 2025 Apply now Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Are you ready to dive headfirst into the captivating world of data engineering at Kyndryl? As a Data Engineer, you'll be the visionary behind our data platforms, crafting them into powerful tools for decision-makers. Your role? Ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips. As a Data Engineer at Kyndryl, you'll be at the forefront of the data revolution, crafting and shaping data platforms that power our organization's success. This role is not just about code and databases; it's about transforming raw data into actionable insights that drive strategic decisions and innovation. In this role, you'll be engineering the backbone of our data infrastructure, ensuring the availability of pristine, refined data sets. With a well-defined methodology, critical thinking, and a rich blend of domain expertise, consulting finesse, and software engineering prowess, you'll be the mastermind of data transformation. Your journey begins by understanding project objectives and requirements from a business perspective, converting this knowledge into a data puzzle. You'll be delving into the depths of information to uncover quality issues and initial insights, setting the stage for data excellence. But it doesn't stop there. You'll be the architect of data pipelines, using your expertise to cleanse, normalize, and transform raw data into the final dataset—a true data alchemist. Armed with a keen eye for detail, you'll scrutinize data solutions, ensuring they align with business and technical requirements. Your work isn't just a means to an end; it's the foundation upon which data-driven decisions are made – and your lifecycle management expertise will ensure our data remains fresh and impactful. So, if you're a technical enthusiast with a passion for data, we invite you to join us in the exhilarating world of data engineering at Kyndryl. Let's transform data into a compelling story of innovation and growth. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Skills And Experience 6 Years experience in Data Engineer 2 to 3 Years relevant experience in ELK Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes Experience in data pipelines development and tooling, e.g., Glue, Databricks, Synapse, or Datapro Experience with both relational and NoSQL databases, PostgreSQL, DB2, MongoDB Excellent problem-solving, analytical, and critical thinking skills Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail Communication Skills: Must be able to communicate with both technical and non-technical colleagues, to derive technical requirements from business needs and problems Preferred Skills And Experience Experience working as a Data Engineer and/or in cloud modernization Experience in Data Modelling, to create conceptual model of how data is connected and how it will be used in business processes Professional certification, e.g., Open Certified Technical Specialist with Data Engineering Specialization Cloud platform certification, e.g., AWS Certified Data Analytics – Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address. Apply now See more open positions at Kyndryl

Description Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. The candidate will leverage data analysis tools like SQL, Excel, and other data management systems to extract and examine data, driving informed decision-making. By monitoring existing metrics and developing new ones in collaboration with internal teams, identify opportunities to enhance processes and systems. Design and implement reporting solutions that empower stakeholders to effectively manage the business. Additionally, support cross-functional teams in the day-to-day execution of program implementation and lead small to medium operational enhancement projects, driving continuous improvement and optimizing outcomes. Key job responsibilities Retrieve and analyze data using SQL, Excel, and other data management systems. Monitor existing metrics and create/implement new metrics where needed, partnering with internal teams to identify process and system improvement opportunities. Design and implement reporting solutions to enable stakeholders to manage the business and make effective decisions. Support cross-functional teams on the day-to-day execution of the existing program implementation. Drive small to medium operational enhancement projects. Basic Qualifications Bachelor's degree or equivalent Experience in Excel (macros, index, conditional list, arrays, pivots, lookups) Bachelor's degree in business or analytical discipline Knowledge of SQL Knowledge of Python, VBA, Macros, Selenium scripts Preferred Qualifications 3+ years of complex Excel VBA macros writing experience Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc. Are enrolled in or have completed a Bachelor's degree in business or analytical discipline Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 12 SEZ Job ID: A3032594

What You'll Be Doing: Lead the creation and curation of a specialized mathematics dataset focused on skills mentioned below. Review and validate mathematical content for accuracy, relevance, and mathematical value Establish quality control standards and review frameworks for dataset development Make authoritative decisions on content inclusion, modification, or removal, and implement action plans to address quality issues or knowledge gaps Collaborate with AI researchers to understand model training requirements Document dataset creation methodologies and quality assurance processes What We're Looking For: MSc or PhD in Mathematics required, with extensive knowledge and expertise in domains given below. Strong understanding of mathematical concepts at advanced levels Experience in academic review or content validation preferred Excellent attention to detail and analytical thinking skills, along with strong written and verbal communication abilities Good to have: Experience tutoring postgraduate-level students Familiarity with Question bank Creation at Postgraduate level. Experience in academic research or teaching in mathematics Required Domain Knowledge Mathematical Optimization & Game Theory Probability & Statistics Abstract & Discrete Mathematics Mathematical Analysis & Complex Analysis Calculus Number Theory Geometry

What You'll Be Doing: Lead the creation and curation of a specialized Chemistry dataset focused on skills mentioned below. Review and validate chemistry content for accuracy, relevance, and subject value Establish quality control standards and review frameworks for dataset development Make authoritative decisions on content inclusion, modification, or removal, and implement action plans to address quality issues or knowledge gaps Collaborate with AI researchers to understand model training requirements Document dataset creation methodologies and quality assurance processes What We're Looking For: MSc or PhD in Chemistry is required, with extensive knowledge and expertise in domains given below. Strong understanding of chemistry concepts at advanced levels Experience in academic review or content validation preferred Excellent attention to detail and analytical thinking skills, along with strong written and verbal communication abilities Good to have: Experience tutoring postgraduate-level students Familiarity with Question bank Creation at Postgraduate level. Experience in academic research or teaching in chemistry Required Domain Knowledge Organic Chemistry Inorganic Chemistry Analytical Chemistry Biochemistry Physical Chemistry

Job title : Senior Analyst Hiring Manager : Team Lead Commercial Analytics Location : Hyderabad % of travel expected : Travel required as per business need, if any Job type : Permanent and Full time About the job Our Team: Sanofi Global Hub (SGH) is an internal Sanofi resource organization based in India and is setup to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions. SGH strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations in Sanofi, Globally. Main responsibilities: The overall purpose and main responsibilities are listed below: At our Sanofi we are leveraging analytics and technology, on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making that will allow us to tackle some of the world’s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. Deliverables support planning and decision making across multiple functional areas such as finance, manufacturing, product development and commercial. In addition to ensuring high-quality deliverables, our team drives synergies across the franchise, fosters innovation and best practices, and creates solutions to bring speed, scale and shareability to our planning processes. As we endeavour, we are seeking a dynamic talent for the role of “ Senior Analyst ” We are looking for a team member to support our analytics team based out of US. Robust analytics is a priority for our businesses, as the product potential has major implications to a wide range of disciplines. It is essential to have someone who understands and aspires to implement innovative analytics techniques to drive our insights generation. People: Maintain effective relationship with the end stakeholders within the allocated GBU and tasks – with an end objective to develop report and analysis as per requirement Collaborate with global stakeholders for project planning and setting up the timelines and maintaining budget Performance indicators: Feedback from (end stakeholders) on overall satisfaction Performance: Ability to translate business question to analytical requirement and work on it to develop reports/decks with minimum supervision. Experience working on patient analytics report and dataset such as LAAD and data from Speciality distributor,Speciality Pharma, and patient hub Will assist in managing business rules, definition and KPIs for reporting and insight He/she will ensure on time and accurate delivery of all analytics and dashboard requirement by collaborating with relevant stakeholders He/she will ensure dashboards and metrics are maintained as per requirements Responsible for access management of all trackers (Smartsheet, Excel, other Software) and Dashboard Ensuring data consistency across all dashboards and analytics requirements Pro-actively identifying analytical requirements Building advance tools, automatization and/or improvement processes for analytical and other needs Collaborates with Digital to enhance data access across various sources, develop tools and process to constantly improve quality and productivity. Performance indicators: Adherence to timeline, quality target Process: Support delivery of projects in terms of resourcing, coordination, quality, timeliness, efficiency, and high technical standards for deliveries made by the medical writing group, including scientific documents and clinical/medical reports Contribute to overall quality enhancement by ensuring high scientific standards for the output produced by the medical writing group; and Secure adherence to compliance procedures and internal/operational risk controls in accordance with all applicable standards Use latest tools/technologies/methodologies and partner with internal teams to continuously improve data quality and availability by building business processes that support global standardization Ability to work cross-functionally, gather requirements, analyse data, and generate insights and reports that can be used by the GBU Performance indicators: Feedback from stakeholders on satisfaction with deliverables Stakeholder: Work closely with global teams and/ external vendors to ensure the end-to-end effective project delivery of the designated publication/medical education deliverables Work collaboratively with the stakeholder teams to prioritize work and deliver on time-sensitive requests Performance indicators: Feedback from stakeholders on satisfaction with deliverables About you Experience: 5+ years relevant work experience with solid understanding of principles, standards, and best practices of Dashboard development ,Reporting, Insight Generation and story telling . In-depth knowledge of Rare disease and common databases like IQVIA, APLD, LAAD, Speciality Pharma and Distributor, Claims data etc. Other highly relevant experiences include: HCP and account valuation, segmentation, field promotional activities KPIs Soft skills : Strong learning agility; Ability to manage ambiguous environments, and to adapt to changing needs of the business; Good interpersonal and communication skills; strong presentation skills a must; Team player who is curious, dynamic, result oriented and can work collaboratively, and proactively; Ability to think strategically in an ambiguous environment; Ability to operate effectively in an international matrix environment, with ability to work across time zones; Demonstrated leadership and management in driving innovation and automation leveraging advanced statistical and analytical techniques Technical skills : Expert in Relational database technologies and concepts Strong project management abilities; capable of prioritizing and handling multiple projects simultaneously Working experience of using analytical tools like PowerBI, SQL, Snowflake, Smartsheet, advanced excel (including VBA),PPT etc Experience of developing and managing dashboards and reports Excellent planning, design, project management and documentation skills Excellent management of customer expectations, listening, and multi-tasking skills. Ability to take initiative, follow through, and meet deadlines as necessary while maintaining the quality Proficiency of programming languages SQL, SAS mandatory and Python, R, VB good to have Strong exp erience using analytical platforms (e.g., Databricks, IICS, Snowflake) Exp erience with pharmaceutical data sources and CRM data systems (e.g. IQVIA, Symphony, Claims data, LAAD, Speciality Pharmacy and Distributor data) Exp erience of using analytical tools like Power BI / Qliksense, Tableau, Alteryx etc; Expert knowledge of Excel ,PowerPoint . P a plus. Exp erience of developing and managing dashboards and reports Project management abilities; capable of prioritizing and handling multiple projects simultaneously An aptitude for problem solving and strategic thinking Ability to synthesize complex information into clear and actionable insights Proven ability to work effectively across all levels of stakeholders and diverse functions Solid understanding of pharmaceutical development, manufacturing, supply chain and marketing functions Demonstrated leadership and management in driving innovation and automation leveraging advanced statistical and analytical techniques Education : Bachelor’s or Master’s degree in areas such as Information Science/Operations/Management/Statistics/Decision Sciences/Engineering/Life Sciences/ Business Analytics or related field (e.g., PhD / MBA / Masters); Languages : Excellent knowledge in English and strong communication skills – written and spoken Other Requirement: This role is a sole contributor focused on development, delivery and communication of insights Pursue Progress, discover Extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

JD-Power BI The Power BI Developer is responsible for delivering high quality Power BI reports and dashboards that support the business needs of TAOS Inc. and its customers. The Incumbent must possess a very good business understanding and should demonstrate the ability to translate the business requirement into the technical specifications and workable prototypes / applications. The incumbent will also be responsible for assisting in the design and maintenance of the Business Intelligence and Analytics delivery layer architecture by enforcing security and enterprise standards and procedures. Responsibilities Author complex Power BI reports, KPIs, and Dashboards. Work with business groups to understand data structures and data element definition and accuracy. Conduct data and visualization performance analysis, modify Power BI elements for efficiency and efficacy. Monitor recurring jobs, scripts, and events, proactively addressing any potential issues. Maintain and support datasets, templates and reporting packages. Understand business reporting specifications and dataset needs, relating technical requirements to architectural and ETL resources. Use concepts and abilities of an application developer to solve a wide range of difficult problems in imaginative and practical ways. Provide training to report authors and support personnel. Provide upper tier support to report authors on visualization usage, data modelling, DAX and Power Query. 1. Structure the data. 2. Reuse. 3. Data visualization. 4. Predictive analytics and insights. Job Types: Full-time, Permanent Pay: ₹400,000.00 - ₹600,000.00 per year Benefits: Work from home Schedule: US shift Work Location: In person Application Deadline: 01/08/2025 Expected Start Date: 04/08/2025

About Calaxis by Credartha Calaxis by Credartha is on a mission to unchain AI development. We believe the $15 trillion promise of AI is being held hostage by a broken, fragmented, and prohibitively expensive development process. Our integrated pipeline is engineered to master data and empower organizations to own their future by building trustworthy, domain-specific AI. We are eliminating the bottlenecks of slow, biased, and unscalable manual annotation by pioneering a new method. Our core innovation, the "Council of Judges," automates expert data validation, replacing human armies with a cascade of specialized AI models to deliver systematic, scalable quality assurance. The Role We are looking for a pioneering Data Science Researcher to be the engine of our innovation and the architect of our technological advantage. You will be responsible for advancing the core intellectual property that underpins our entire platform. This role goes beyond applying existing models; you will be conducting foundational research to build, refine, and scale our proprietary methodologies, including our "Council of Judges" and our "Deeptech Self-Improving Flywheel". Your work will directly contribute to keeping Calaxis at the forefront of the AI evolution, ensuring our methods remain more efficient and powerful than the capital-intensive approaches that dominate the market. If you are driven to solve the most challenging problems in AI data generation, validation, and model improvement, and want to see your research have a direct commercial impact, this role is for you. What You'll Do: Lead foundational research and development of our "Council of Judges" AI, including advancing our proprietary "Two-Tiered" training paradigm. Design and implement novel algorithms and experiments to enhance the "Deeptech Self-Improving Flywheel," ensuring our entire system becomes more intelligent and efficient over time. Spearhead the research, testing, and integration of advanced Reinforcement Learning (RL) techniques to enhance our data generation and validation capabilities. Drive the continued development of our custom architectures, including our Multimodal LLM (VLM) for interpreting visual data and our Retrieval-Augmented Generation (RAG) pipeline. Innovate on our Central Dataset Generator to improve the quality and complexity of our automatically generated instruction-following datasets. Develop new methods for automated data validation and quality assurance, pushing the boundaries of what is possible in building trustworthy AI. Publish your findings in top-tier AI conferences and journals, establishing Calaxis as a thought leader in the industry. Collaborate closely with the engineering team to translate cutting-edge research into robust, scalable components of our production platform. Who You Are: You possess a Ph.D. , Master's or Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong publication record. You have proven experience in conducting original research in Natural Language Processing (NLP), and Machine Learning, particularly with Large Language Models (LLMs). You have deep expertise in areas such as Reinforcement Learning (especially RLHF), model fine-tuning, retrieval-augmented generation (RAG), and data generation techniques. Experience with multimodal models (V)LM is a significant advantage. You are a master of scientific programming with expert-level skills in Python and deep learning frameworks like PyTorch or TensorFlow. You have a pioneering mindset and are driven by the challenge of creating new methods, not just applying existing ones. You are capable of working independently to define research problems and see them through to production-ready solutions. Why Join Calaxis? This is a rare opportunity to shape the core technology of a company set to redefine the AI development lifecycle. At Calaxis, your research will not be a theoretical exercise; it will be the "core IP" that drives our business. You will have the resources and autonomy to pursue breakthrough ideas and see them deployed on a platform designed to impact every major industry vertical. Join us and build the future of AI.

Virohan is a Healthcare focused Ed-Tech company training youth for jobs in the healthcare sector. We aim to create India’s largest Industry demand-led edtech platform for healthcare professionals. We are funded by Blume Ventures, Rebright Partners (Japan), elea Foundation for Ethics in Globalization (Switzerland), Artha Impact (Switzerland), Yunus Social Business (an impact fund founded by Noble Laureate Prof. Mohammad Yunus based out of Germany), AngelList, Keiretsu Forum amongst others. Virohan is operating at the cusp of Edtech and Healthcare. Both these industries have entered a new phase of growth because of the pandemic and will grow rapidly over the next 10 years. The time to enter this space and make your mark is now! We are looking for entrepreneurs to join us and help us build the next edtech unicorn! We're building the Marketing & Growth team at Virohan on the following 4 pillars: ● Talent - We look for solution-hungry complex-problem solvers to increase the talent density of our team ● Ownership - We expect very high ownership from outcome-paranoid team players ● Communication - We propagate open & honest communication with frequent un-filtered constructive feedback ● Bias for Action - We believe done is better than perfect, and that said & done shouldn't differ by much Are you the right fit? Are you someone who seeks complex problems and enjoys getting into depth & numbers to try and solve them? Are you someone who likes to make spreadsheets for everything - shopping lists, travel plans, personal finance, etc? Do you often find yourself questioning “why” while others are thinking “how”? Are you looking to join the next big start-up with the vision of becoming the next big unicorn? If you’re nodding your head, this is for you. We’re looking for passionate, talented people who want to change the way the world thinks about higher education and unlock human potential, regardless of circumstance. You will own the Marketing Analytics function, that spans the following: Analytics Powerhouse for Marketing - right from the way our database is structured, to pipelining & further coming up with automated dashboards & reports that serve as the backbone for all data-driven decision making for the marketing team -Requires you to be well-versed with SQL & Excel, understand Virohan’s internal & marketing channels database architecture. Unifying Leads Data - We generate a large volume of enquiries for our products, that come with a unique set of attributes depending on the channel that these are acquired from. We are presently unable to harness the true value of these attributes in terms of marrying these with the sales funnel & extracting insights that would allow us to build Marketing & Sales efficiency -- Involves working on a large dataset to be able to extract insights, and eventually build a process out of a one-time exercise after aligning stakeholders across marketing, sales & product. Event tracking and integrations with digital marketing channels (Meta, Google, Affiliates) to enable performance marketing -At this stage of the business, this is a big lever to drive efficiency across marketing & sales requires adept project management and understanding of performance marketing You are the right fit for the role, if: You have 2-3 years of experience in analytics / business intelligence / product marketing / digital marketing / product management You are very well versed in SQL & Excel You love numbers & objectivity, you seek problem solving opportunities with a rational approach You’ve worked on tracking & measurement in the past - creating, templatising & automating dashboards & reporting. You are obsessed with detail & often spot opportunities by paying attention to detail. You’ve had experience with / exposure to lead generation & marketing (good to have) You’ve had experience of working with Python (good to have) What’s in it for you: Great set of peers to work with, who value mutual respect and clear communication Right to win - The founding team understands business and has a clear vision to chase Opportunity to work on a critical role, which will have a direct and big impact Transparent work culture with ‘No door’ policy A chance to join a high potential company very early, with competitive compensation.

Backdrop AVIZVA is a Healthcare Technology Organization that harnesses technology to simplify, accelerate, & optimize the way healthcare enterprises deliver care. Established in 2011, we have served as strategic enablers for healthcare enterprises, helping them enhance their overall care delivery. With over 14 years of expertise, we have engineered more than 150 tailored products for leading Medical Health Plans, Dental and Vision Plan Providers, PBMs, Medicare Plan Providers, TPAs, and more. Overview of The Role As a System Analyst within a product development team in AVIZVA, you will be one of the front- liners of the team spearheading your product’s solution design activities alongside the product owners, system architect, lead developers while collaborating with all business & technology stakeholders. Note: Candidates with max 30 days of notice period will only be considered. Job Responsibilities Gather & analyze business, functional, data requirements with the PO, & relevant stakeholders and derive system requirements from the same. Work with the system architect to develop an understanding of the product's architecture, components, Interaction, flow, and build clarity around the technological nuances & constructs involved. Develop an understanding of the various datasets relevant to the industry, their business significance and logical structuring from a data modeling perspective. Conduct in-depth industry research around datasets pertinent to the underlying problem statements. Identify, (data) model & document the various entities, relationships & attributes alongwith appropriate cardinality and normalization. Apply ETL principles to formulate & document data dictionaries, business rules, transformation & enrichment logic, for various datasets in question pertaining to various source & target systems in context. Define data flow, validations & business rules driving the interchange of data between components of a system or multiple systems. Define requirements around system integrations and exchange of data such as systems involved, services (APIs) involved, nature of integration, handshake details (data involved, authentication, etc.) Identify use-cases for exposure of data within an entity/dataset via APIs and define detailed API signatures and create API documentation. Provide clarifications to the development team around requirements, system design, integrations, data flows, scenarios. Support to other product teams dependent on the APIs, integrations defined by your product team, in understanding the endpoints, logics, business, entity structure etc. Provide backlog grooming support to the Product Owner through activities such as functional analysis and data analysis. Skills & Qualifications Bachelor’s or Master’s degree in Computer Science or any other analytically inclined field of study. At least 4 years of relevant experience in roles such as Business Analyst, Systems Analyst or Business System Analyst. Experience in analysing & defining systems involving varying levels of complexity in terms of underlying components, data, integrations, flows, etc. Experience working with data (structured, semi-structureed), data modeling, writing database queries with hands-on SQL, and working knowledge of Elasticsearch indexes. Experience with Unstructured data will be a huge plus. Experience of identifying & defining entities & APIs, writing API specifications, & API consumer specifications. Ability to map data from various sources to various consumer endpoints such as a system, a service, UI, process, sub-process, workflow etc. Experience with data management products based on ETL principles, involving multitudes of datasets, disparate data sources and target systems. A strong analytical mindset with a proven ability to understand a variety of business problems through stakeholder interactions and other methods to ideate the most aligned and appropriate technology solutions. Exposure to diagrammatic analysis & elicitation of business processes, data & system flows using BPMN & UML diagrams, such as activity flow, use-cases, sequence diagrams, DFDs, etc. Exposure to writing requirements documentation such as BRD, FRD, SRS, Use-Cases, User-Stories etc. An appreciation for the systems’ technological and architectural concepts with an ability to speak about the components of an IT system, inter-component interactions, database, external and internal data sources, data flows & system flows. Experience (at least familiarity) of working with the Atlassian suite (Jira, & Confluence). Experience in product implementations & customisations through system configurations will be an added plus. Experience of driving UX design activities in collaboration with graphic & UI design teams, by means of enabler tools such as Wireframes, sketches, flow diagrams, information architecture etc. will be an added plus. Exposure to UX designing & collaboration tools such as Figma, Zeplin, etc. will be an added plus. Awareness or prior exposure to Healthcare & Insurance business & data will be a huge advantage.

About Ellucian Ellucian is a global market leader in education technology. We power innovation for higher education, partnering with more than 2,900 customers across 50 countries and serving over 20 million students. Ellucian's AI-powered platform, trained on the richest dataset available in higher education, drives efficiency, personalized experiences, and strengthened engagement for all students, faculty and staff. Fueled by decades of experience with a singular focus on the unique needs of learning institutions, the Ellucian platform features best-in-class SaaS capabilities and delivers insights needed now and into the future. These solutions and services span the entire student lifecycle, from student recruitment, enrollment, and retention to workforce analytics, fundraising, and alumni engagement. Ellucian's innovative solutions, vast ecosystem of partners, and user community of more than 45,000 provide best practices leading to greater institutional success and achieving better student outcomes. Values Rooted in Purpose We embrace the power to lead , the courage to innovate , and the determination to grow . At our core, we believe in humanizing our approach, recognizing that our people are our greatest strength. With a shared vision of transformation , we endeavor to shape a brighter future for higher education. About The Opportunity The ‘Consultant- BI Reporting’ uses his superior report development skills and his Data Warehousing/BI knowledge to provide outstanding service to the Ellucian Managed Services client community. He/she will closely work with the Business Users to gather and prioritize the requirements. He/she will be involved in building the prototypes and demonstrating the same to the customer. Once reports are developed and tested he will provide a reports demo to end users. He is also involved in the documenting of functional and technical requirements. Responsibilities also include knowledge sharing through demonstrations and training to technical staff and end users. In addition, the successful candidate will be responsible for needs assessment, solutioning and developing a strong working relationship with the client. Where you will make an impact The ‘Consultant- BI Reporting’ Consultant will: Connect with business users to understand the reporting needs and build/demonstrate prototypes that may suit the user needs Develop and test the reports (requested by the business users) using various reporting tools like SSRS , OBIEE , Cognos, Argos etc Migration of reports from one reporting tool to another. This involves understanding/clarifying the requirements for the existing reports and rebuilding the same in a new reporting tool Debugging the issues with the existing reports and provide the appropriate fixes Provide technical assistance by responding to inquiries from others regarding errors, problems, or questions about reporting applications. Analyze code to find causes of errors and revise applications Prepare documents related to requirements and specifications for conversion, reporting, interfaces and custom applications. Write documentation that describes installation and operating procedures. What You Will Bring Overall 4 - 7 years of experience. With 4 + years of relevant experience in the area of reports development Working experience with any of these reporting tools : SSRS , OBIEE, Cognos Strong Data Warehousing concepts (Facts , Dimensions ,Hierarchies , Aggregate tables , Dimensional Data Modelling etc) Strong experience of SQL queries and performance tuning Prior experience of directly working with the business users for gathering the requirements , prototype demonstrations etc Willing to learn new technologies to serve the ever changing customer needs Strong interpersonal communication skills and the ability to maintain effective working relationships with co-workers, vendors and customers. Proactively communicate and collaborate with external and internal customers to analyze information needs and functional requirements and deliver the artifacts as needed Develop accurate and comprehensive test plans and execute tests according to plans. Desired Skills Knowledge of Cognos , Tableaue Reporting tool Knowledge of ETL development Knowledge about the US Higher Education Domain What makes #Ellucianlife 22 days annual leave plus 11 public holidays Competitive gratuity policy Group insurance and Annual health checkup plan with a variety of family and wellness benefits. Thrive Flex Lifestyle Account (LSA) that allows you to contribute towards your health, financial or learning interests 5 charitable days to support the community that supports us Wellness Headspace (mental health) Wellbeats (virtual fitness classes) RethinkCare - caregiver support Diversity and inclusion programs that promote employee resource groups such as: Buzzinga and Lean In Team to name a few. Parental leave Employee referral bonuses to encourage the addition of great new people to the team We Foster a learning culture with: Education Assistance Program Professional development opportunities

We are hiring a linguist at the Pune location. Location: Pashan, Pune Type: Full-Time (Contractual) Experience: 2+ Years 📚 Qualifications BA/MA in Linguistics, Applied Linguistics, or English Training in computational linguistics is preferred 🔍 Skills Strong computer proficiency (Microsoft Word, Excel, PowerPoint) Typing skills in English and Indian languages, including Hindi Lexicon and linguistic dataset creation/testing English grammar expertise for text analysis 🧠 Role Highlights Create and test English lexical entries Evaluate grammatical structures and NLP tags Collaborate in computational platforms (NLP & AI) Contribute to AI-driven linguistic datasets

We are Hiring for computational linguists. Location: Pashan, Pune Type: Full-Time (Contractual) 🎓 Desired Educational Qualifications MA in Linguistics/Applied Linguistics with First Class or Equivalent Grade from a UGC-Approved Reputable University OR MPhil / PhD in Linguistics / Applied Linguistics with formal training in Computational Linguistics Research Publications in NLP , Semantics/Lexicology , or Discourse Studies are highly desirable 🛠 Desired Skill Sets Proficiency in Hindi and other Indian/foreign languages , including linguistic typing and dataset/lexicon creation Experience in NLP Tagging, Annotation , and ML-labelled data entry Familiarity with Ontologies , PoS taggers , NER , and other language processing tools (English/Hindi/Other Indian Languages) Hands-on experience in tools such as Protégé , Excel , Word , and other NLP annotation platforms 💼 Job Profile Responsible for Lexicon Testing & Creation Capable of creating Lexical Entries in English and Hindi using Microsoft Office tools and NLP software Collaborate within teams and engage proactively in AI & NLP learning environments Contribute to ML-labelled data creation and domain-specific dataset development