2079 Reinforcement Jobs - Page 22

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: A3033837

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: A3033831

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: A3033807

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: A3033834

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

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

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets. We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world’s most complex challenges and deliver more impact together. Role description: Role description: We are now recruiting talented individuals to fill our current vacancy for Senior BIM Modeler to work on our projects in Bangalore, Mumbai, Noida and Hyderabad. Role accountabilities: Interpret structural design intent to produce detailed error reinforcement drawings and schedules for fabrication. Collaborate with engineers and clients to understand design requirements and resolve discrepancies Identify potential difficulties, conflicts or hazards and propose workable solutions Perform quality checks on all drawings and schedule before submission Ensure all drawings comply with relevant codes and standards Maintain accurate records of drawings, revisions and communication Collaborate and coordinate with other disciplines for design-changes and model challenges. Adhere to BIM Execution Plan and BIM project workflow criteria. Required competencies: Proficiency in CADS RC 2D rebar detailing software. Knowledge CADS RC 3D will be added advantage. Knowledge of Automation Scripting like Dynamo will be a big advantage. Strong knowledge of Euro codes and British codes, drawing standards and construction practices. Ability to read and interpret General arrangement drawings and structural design intent. Strong verbal and written communication skills for effective collaboration with Stakeholders. A strong, self-motivated, and assertive person capable of working under pressure, with a proactive attitude toward continuous learning and professional development . Well-developed interpersonal skills and the ability to communicate effectively at all levels. Flexible to adopt new work /challenge work as per business requirement. Software Expectations: Expert on detailing tools such as CADS RC 2D/3D Knowledge of BIM tools such as ACC, BIM 360 etc. Knowledge of REVIT® Qualifications & Experience: BE Civil/Diploma in Civil Engineering from a recognized University. 8 to 12 years’ experience as an RC detailer. Why Arcadis? We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It’s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together. You’ll do meaningful work, and no matter what role, you’ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you. Together, we can create a lasting legacy. Our Commitment to Equality, Diversity, Inclusion & Belonging We want you to be able to bring your best self to work every day which is why equality and inclusion is at the forefront of all our activities. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity employer; women, minorities, and people with disabilities are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, caste, creed, colour, religion, sex, age, disability, marital status, sexual orientation, and gender identity. #Join Arcadis. #Create a Legacy. #Hybrid #LI-AA4

Country/Region: IN Requisition ID: 27204 Work Model: Position Type: Salary Range: Location: INDIA - NOIDA- BIRLASOFT OFFICE Title: Technical Lead-App Development Description: Area(s) of responsibility About Birlasoft: Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CKA Birla Group, a multibillion-dollar enterprise, we boast a 12,500+ professional team committed to upholding the Group's 162-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose. About the Job - We are looking for an experienced technical lead to implement an enterprise-grade conversational AI interface leveraging technologies like NodeJS, Python, LangChain, Azure OpenAI and Azure Cognitive Services. Job Title - GenAI App Tech Lead – Azure OpenAI & Azure Cognitive Search Location: Pune/Noida Educational Background: Bachelor’s degree in computer science, Information Technology, or related field. Mode of Work- Hybrid Experience Required - 6+ years in core Application Development Job Description : Responsibilities: Implement conversational AI application using NodeJS,Azure OpenAI and Python Integrate various AI technologies like OpenAI models, LangChain, Azure Cognitive Services (Cogniitve Search, Indexes,Indexers and APIS etc) to enable sophisticated natural language capabilities Implementation of private endpoints across the Azure services leveraged for the application Implement schemas, APIs, frameworks and platforms to operationalize AI models and connect them to conversational interfaces Implement app logic for conversation workflows, context handling, personalized recommendations, sentiment analysis etc. Build and deploy the production application on Azure while meeting security, reliability, and compliance standards Create tools and systems for annotating training data, monitoring model performance, and continuously improving the application Mentor developers and provide training on conversational AI development best practices Build and productionize vector databases for the application on Azure cloud Key Responsibilities: 6-8 years of overall technology experience in core application development 2+ years experience leading development of AI apps and conversational interfaces Hands-on implementation centric knowledge of generative AI tools on Azure cloud Deep,hands-on and development proficiency in Python and NodeJS Hands-on expertise of SharePoint indexes and data/file structures (Azure SQL) Hands-on knowledge of Azure Form Recognizer tools Experience with LangChain, Azure OpenAI and Azure Cognitive Search Retrieval Augmented Generation (RAG) and RLHF (Reinforcement Learning from Human Feedback) using Python Vector databases on Azure cloud using PostgreSQL Pinecone,FAISS,Weaviate or ChromaDB Prompt Engineering using LangChain or Llama Index Knowledge of NLP techniques like transformer networks, embeddings, intent recognition etc. Hands-on skills on Embedding and finetuning Azure OpenAI using MLOPS/LLMOPS pipelines Good to have - Strong communication, DevOps, and collaboration skills

Lead Assistant Manager EXL/LAM/1412569 Insurance Property & CasualtiesNoida Posted On 04 Jul 2025 End Date 18 Aug 2025 Required Experience 5 - 15 Years Basic Section Number Of Positions 3 Band B2 Band Name Lead Assistant Manager Cost Code D003451 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type New Max CTC 1500000.0000 - 2400000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group Insurance Sub Group Insurance Organization Insurance Property & Casualties LOB Back Office SBU Operations Country India City Noida Center Noida - Centre 59 Skills Skill INSTRUCTIONAL DESIGN CONTENT MANAGEMENT Minimum Qualification GRADUATE Certification No data available Job Description Job Description Job Name Instructional Designer Job Function HR/Business Shared Job Summary Summary of the overall responsibilities of this job (please note that this information is typically used to provide a general overview of the position to internal and external applicants.) Works with an experienced instructional designer to review needs assessment information to determine training goals. Reviews and updates existing training programs using content provided by subject matter experts. Uses template-oriented e-Learning software applications to update or develop online courses. Creates program evaluations and tests based on course objectives. Job Responsibilities List of the role's key duties and/or responsibilities (up to a maximum of eight) including important features of the job, the general nature, and the level of the work that an employee performs. Assists in conducting in-depth job-task analysis and/or needs assessment to identify learning objectives, and to determine training solutions and other performance enhancement solutions (e.g., management reinforcement, rewards, role clarity, job aids, etc.) Consults with managers and reviews needs assessment and/or job-task analysis information to determine the focus of training content, and to ensure training is focused on increasing the capability of employees to perform in their job. Applies knowledge of instructional design theory to design course content, working with subject matter experts, management, trainers, etc. At this level, design efforts are targeted on individual modules within larger programs or are standalone products focused on a narrow topic. Applies knowledge of adult learning theory to identify appropriate training media and methodologies based on audience learning styles, course content, audience location, point within the learning process, etc. Training methodologies may include group lecture, role play, simulation exercises, self-study, on-the-job training, computer-based training, etc. Researchers, selects, and modifies existing training curriculum, content, materials, job aids, etc. to meet learning needs. Reviews program evaluations, test results, and participant and manager feedback on training effectiveness to make recommendations for program improvement. Creates program evaluations and tools to measure program effectiveness, to assist in determining whether desired learning and performance outcomes are achieved. Identifies needs for outside resources, and sources vendors, as appropriate. Handles vendor management, to include coordination of resources and ensuring quality of product and service levels delivered. Preparation, Training & Experience Overview of the minimum knowledge, skills and abilities that are typically required to perform the duties of the role. In lieu of any required and/or preferred technical/managerial experience, participation in a company-wide sponsored rotational assignment program that provides broad exposure to multiple functions within the organization would be considered. Bachelor's degree or equivalent experience required, in addition to 3 to 4 years of experience in delivering training or supporting the development of training materials. Must have completed formal courses in learning design and adult learning theory, and reflect clear ability to translate that knowledge into developing quality training solutions. Demonstrates strong written and verbal communication skills. Demonstrates solid project management skills. Knowledge of common e-Learning software applications required, including creating new modules Required Software Skills: Microsoft Office, Articulate Storyline, Vyond, Well Said Proficiency Level in each: Intermediate to Advanced Workflow Workflow Type Back Office

Job Description: As a Machine Learning Engineer at Agnisys, you will play a crucial role in designing, developing, and deploying machine learning models, particularly in the field of Natural Language Processing (NLP). The ideal candidate should have a strong foundation in mathematical concepts of ML algorithms and hands-on experience with transformer architectures. Responsibilities: 1. **Mathematical Proficiency:** - Demonstrate a solid understanding of mathematical concepts underlying machine learning algorithms. - Apply mathematical principles to design and optimize machine learning models. - Good understanding of Supervised Learning algorithms like Logistic Regression, Linear Regression, SVM, Decision Trees, Ensemble Techniques (Bagging, Boosting), etc. - Experience with Unsupervised Learning algorithms, such as clustering (k-means, hierarchical clustering).2. **NLP Expertise:** - Possess practical experience in working with NLP technologies. - Showcase a deep understanding of transformer architecture and its applications in NLP tasks.3. **Advanced Concepts:** - Familiarity with advanced concepts such as prompt engineering, retrieval augmented generation, and reinforcement learning is highly desirable. - Proactively stay updated on the latest advancements in ML, including Deep Neural Networks (MLP, CNN, LSTM, GRUs), and incorporate relevant techniques into projects.4. **Deployment Experience:** - Have a proven track record of deploying machine learning models into production environments. - Ensure scalability, reliability, and maintainability of deployed ML systems. Qualifications: - Bachelor's, Master's, or Ph.D. in Computer Science, Machine Learning, or a related field. - Solid understanding of machine learning algorithms, statistical modeling, and supervised/unsupervised learning techniques. - Hands-on experience with NLP technologies, with a focus on transformer architectures. - Familiarity with prompt engineering, retrieval augmented generation, and reinforcement learning is a plus. - Proven experience in deploying machine learning models in production. - Strong programming skills in languages such as Python, TensorFlow, and PyTorch. - Excellent problem-solving and communication skills. Job Type: Full-time Pay: ₹360,020.77 - ₹1,595,226.79 per year Benefits: Health insurance Work from home Schedule: Day shift Supplemental Pay: Yearly bonus Work Location: In person

We are seeking a detail-oriented and proactive Accounts Payable Specialist / Sr.Finance Analyst to join our Finance team. This role involves managing end-to-end accounts payable functions, ensuring timely and accurate processing of vendor invoices, and handling TDS/GST compliance. The ideal candidate will have a strong foundation in financial processes, excellent communication skills, and the ability to work independently as well as collaboratively. Title : Accounts Payable Specialist / Sr.Finance Analyst Location: Remote work Work Timings: 2:00 PM to 11:00 PM No of Openings: 2 Exp Level : Strictly Between 5 to 10 years of exp only To help expedite your application , we recommend completing a quick video assessment using the following link: https://hire.techolution.com/video-resume?role=63545e22-8f0d-4eac-818c-483086dd16b6 Key Responsibilities: Accurately process vendor invoices after proper approval workflows and statutory deductions. Reconcile actual expenses against budgets and report any variances to relevant stakeholders. Prepare and compile data for timely payments and statutory filings, including TDS , GST , and other tax obligations. Develop monthly cash expense budgets to support organizational cash flow forecasting. Conduct periodic ledger scrutiny to identify inconsistencies and ensure data integrity. Generate monthly reports covering accounts payable activities and other financial metrics. Collaborate with internal departments (Legal, HR, PMO, Operations) to gather and validate financial information. Track unbudgeted expenses and actively engage with internal teams for clarification and resolution. Investigate and resolve invoice/payment discrepancies in a timely and professional manner. Provide support for general financial analysis and assist with broader finance functions. Maintain well-organized and up-to-date documentation for accounts payable and statutory records. Required Skills & Qualifications: Education: Postgraduate degree or MBA in Finance ; CA (Chartered Accountant) qualification is required . Proven experience in budgeting of expenses and preparing outstanding expenses on both cash and accrual basis . Strong understanding of core accounting principles and accounts payable best practices. Hands-on experience with QuickBooks , Google Sheets , and Microsoft Excel . In-depth knowledge of Indian tax regulations , especially TDS and GST . Excellent verbal and written communication skills and strong interpersonal abilities . High level of analytical thinking and keen attention to detail . Ability to work independently , take ownership, and contribute effectively within cross-functional teams. About Techolution: Techolution is a next gen Consulting firm on track to become one of the most admired brands in the world for "innovation done right". Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve. We are honored to have recently received the prestigious Inc 500 Best In Business award, a testament to our commitment to excellence. We were also awarded - AI Solution Provider of the Year by The AI Summit 2023, Platinum sponsor at Advantage DoD 2024 Symposium and a lot more exciting stuff! While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we serve. Our thought leader, Luv Tulsidas, wrote and published a book in collaboration with Forbes, “Failing Fast? Secrets to succeed fast with AI”. Refer here for more details on the content - https://www.luvtulsidas.com/ Let's explore further! Uncover our unique AI accelerators with us: 1. Enterprise LLM Studio: Our no-code DIY AI studio for enterprises. Choose an LLM, connect it to your data, and create an expert-level agent in 20 minutes. 2. AppMod. AI: Modernizes ancient tech stacks quickly, achieving over 80% autonomy for major brands! 3. Computer Vision. AI: Our Computer Vision. AI Offers customizable Computer Vision and Audio AI models, plus DIY tools and a Real-Time Co-Pilot for human-AI collaboration! 4. Robotics and Edge Device Fabrication: Provides comprehensive robotics, hardware fabrication, and AI-integrated edge design services. 5. RLEF AI Platform: Our proven Reinforcement Learning with Expert Feedback (RLEF) approach bridges Lab-Grade AI to Real-World AI. 6. AI Center of Excellence: Establishes an AI Center of Excellence to maximize AI potential and ROI. Some videos you wanna watch! Computer Vision demo at The AI Summit New York 2023 Life at Techolution Google Next 2023 Ai4 - Artificial Intelligence Conferences 2023 WaWa - Solving Food Wastage Saving lives - Brooklyn Hospital Innovation Done Right on Google Cloud Techolution featured on Worldwide Business with KathyIreland Techolution presented by ION World’s Greatest Visit us @www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology.

Job description:- Primarily working on Revit structural in creating 3D models and 2D drawings for general arrangement , sections, reinforcement detailing of concrete /steel buildings Knowledge of Dynamo scripts Estimating modelling hours for proposals Working closely with the project team and interface with other disciplines Working level experience on BIM360/ Autodesk construction cloud/ Bluebeam Excellent communication skills Clash detection using various tools Candidate specification:- Diploma/ Bachelor's Degree in Civil / Structural with 5+ years experince Proficiency in Revit Excellent communication skills both written and verbal Some knowledge of 3D modelling (including Revit/Civils 3D) would be an advantage Experience on UK projects and Eurocodes, will be an added advantage or preferred Agile and safe working environment Competitive annual leave and sick leaves Group incentive scheme Group term life insurance, Workmen’s compensation and Group medical insurance coverage Short and Long-term Global employment opportunities Global collaboration and knowledge sharing Digital Innovation and Transformation We Can Offer (subject To Company’s Policy) Agile and safe working environment Competitive annual leave and sick leaves Group incentive scheme Group term life insurance, Workmen’s compensation and Group medical insurance coverage Short and Long-term Global employment opportunities Global collaboration and knowledge sharing Digital Innovation and Transformation Equality, diversity and inclusion We put equality, diversity and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they have the opportunity to contribute. Agile working At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team and personal commitments. We embrace agility, flexibility and trust. Location(s): Bengaluru, KA, IN Noida, UP, IN Contract Type: Permanent Work Pattern: Full Time Market: Buildings Discipline: Building services Job Ref: 9109 Recruiter Contact: Mamta Divekar

Position Overview: We are seeking a Senior Data Scientist Engineer with experience bringing highly scalable enterprise SaaS applications to market. This is a uniquely impactful opportunity to help drive our business forward and directly contribute to long-term growth at Virtana. If you thrive in a fast-paced environment, take initiative, embrace proactivity and collaboration, and you’re seeking an environment for continuous learning and improvement, we’d love to hear from you! Virtana is a “remote first” work environment so you’ll be able to work from the comfort of your home while collaborating with teammates on a variety of connectivity tools and technologies. Role Responsibilities: Research and test machine learning approaches for analyzing large-scale distributed computing applications. Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy, efficacy, and robustness Work closely with other functional teams to integrate implemented systems into the SaaS platform Suggest innovative and creative concepts and ideas that would improve the overall platform. Job Location - Pune, Chennai or Remote Qualifications: The ideal candidate must have the following qualifications: 6 + years’ experience in practical implementation and deployment of large customer-facing ML based systems. MS or M Tech (preferred) in applied mathematics/statistics; CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization Experience in working on modeling graph structures related to spatiotemporal systems Programming skills in Python is a must Experience in understanding and usage of LLM models and Prompt engineering is preferred. Experience in developing and deploying on cloud (AWS or Google or Azure) Good verbal and written communication skills Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow About Virtana: Virtana delivers the industry’s only unified software multi-cloud management platform that allows organizations to monitor infrastructure, de-risk cloud migrations, and reduce cloud costs by 25% or more. Over 200 Global 2000 enterprise customers, such as AstraZeneca, Dell, Salesforce, Geico, Costco, Nasdaq, and Boeing, have valued Virtana’s software solutions for over a decade. Our modular platform for hybrid IT digital operations includes Infrastructure Performance Monitoring and Management (IPM), Artificial Intelligence for IT Operations (AIOps), Cloud Cost Management (Fin Ops), and Workload Placement Readiness Solutions. Virtana is simplifying the complexity of hybrid IT environments with a single cloud-agnostic platform across all the categories listed above. The $30B IT Operations Management (ITOM) Software market is ripe for disruption, and Virtana is uniquely positioned for success. Company Profitable Growth and Recognition In FY2023 (Fiscal year ending January 2023), Virtana earned: — Best CEO, Best CEO for Women, and Best CEO for Diversity by Comparably — Two years in a row YoY Profitable Annual Recurring Revenue (ARR) Growth — Two consecutive years of +EBITDA, 78% YoY EBITDA growth, or 20% of Revenue — Positive Cash Flow, 171% YoY cash flow growth

🚀 We’re Hiring: Machine Learning Architect 📍 Pune / Remote | 💼 8+ Years Experience Are you passionate about building intelligent systems that scale? Do you enjoy solving complex optimization problems and integrating machine learning into real-world production environments? Join us as a Machine Learning Architect and help shape the future of AI-driven innovation. 🧠 What You'll Do As a key member of our team, you will: Design and implement scalable machine learning architectures aligned with business goals Solve high-impact optimization challenges using Gurobi and Google OR Leverage the power of Google Cloud AI/ML tools including Vertex AI, AutoML, TensorFlow Collaborate with cross-functional teams to bring ML solutions into production Build and maintain robust data pipelines for model training and deployment Continuously monitor, evaluate, and improve model performance ✅ What We’re Looking For Bachelor’s/Master’s in Computer Science, AI, Data Science, or related field 5+ years of hands-on experience designing and deploying ML solutions Strong command over Python , TensorFlow , PyTorch , Gurobi , and Google OR Deep understanding of Google Cloud AI/ML services , BigQuery , and Spark ⭐ Bonus Points PhD in Artificial Intelligence or Machine Learning Experience with reinforcement learning and advanced optimization algorithms Working knowledge of MLOps , CI/CD pipelines , and cloud security best practices 🎯 Why Join Us? Work remotely or from our Pune office—your choice Solve real-world problems with cutting-edge ML and cloud technologies Be part of a forward-thinking, collaborative, and fast-paced environment 👉 Ready to build the future of ML with us? Apply now and let’s create something extraordinary. #Hiring #MachineLearning #MLArchitect #GoogleCloud #RemoteJobs #DataScience #AI #VertexAI #MLOps #Optimization

We are seeking a highly skilled Machine Learning Architect to design and implement cutting-edge Al/ML solutions that drive business innovation. This role requires expertise in Google Cloud, Gurobi, and Google OR, ensuring scalable and optimized machine learning models for complex decision￾making processes. Key Responsibilities •⁠ ⁠Design and develop machine learning architecturesthat align with business objectives. •⁠ ⁠Implement optimization models using Gurobi and Google OR to solve complex operational problems. •⁠ ⁠Leverage Google Cloud Al/ML services (Vertex Al, TensorFlow, AutoML) for scalable model deployment. •⁠ ⁠Collaborate with data scientists, engineers, and business stakeholders to integrate ML solutions into production. •⁠ ⁠Ensure high-performance computing and efficient resource utilization in cloud environments. •⁠ ⁠Develop automated pipelines for data preprocessing, model training, and deployment. •⁠ ⁠Monitor and enhance ML model performance, ensuring accuracy and efficiency. •⁠ ⁠Stay updated with emerging Al/ML trends and best practices. Required Qualifications •⁠ ⁠Bachelor's/Master's degree in Computer Science, Al, Data Science, or related field. •⁠ ⁠5+ years of experience in machine learning architecture and deployment. •⁠ ⁠Strong expertise in Google Cloud Al/ML services. •⁠ ⁠Hands-on experience with Gurobi and Google OR for optimization problems. •⁠ ⁠Proficiency in Python, TensorFIow, PyTorch, and cloud-based ML frameworks. •⁠ ⁠Experience in big data processing (Apache Spark, BigQuery). •⁠ ⁠Strong problem-solving skills and ability to work in cross-functional teams Preferred Qualifications •⁠ ⁠PhD in Al/ML or related field. •⁠ ⁠Experience in reinforcement learning and optimization algorithms. •⁠ ⁠Knowledge of MLOps and CI/CD pipelines for ML model deployment. •⁠ ⁠Familiarity with Google Cloud security best practices

Open Positions: Piping Procurement Engineer – 5+ years’ experience Senior Piping Procurement Engineer – 10+ years’ experience Key Responsibilities: End-to-end procurement for key project packages including: Piping : Pipes (CS, SS, DI, HDPE, GRE, PVC), valves, fittings, flanges, gaskets, supports Structural Steel : Rolled sections (beams, channels, angles, plates), gratings, handrails, ladders Reinforcement Steel (TMT) : As per structural BOQ and drawings Cement & Civil Bulk Materials : OPC/PPC, GGBS, fly ash, aggregates, bricks, concrete additives Float and manage RFQs, bid evaluations (technical + commercial), and vendor negotiations. Coordinate with engineering and site teams to ensure specifications and delivery timelines are met. Issue purchase orders (POs) aligned with project budget and contractual terms. Liaise with vendors for material submittals, inspections, and documentation. Track and expedite deliveries; resolve supply or quality-related issues. Maintain procurement logs, vendor data, and cost comparisons. Ensure compliance with internal procurement procedures and project requirements. Additional Responsibilities for Sr. Role (10+ years): Lead procurement strategy for multiple projects or large-value packages. Develop and maintain key vendor relationships and rate contracts. Mentor junior procurement staff and assist in team planning. Support strategic sourcing and cost optimization initiatives. Required Qualifications: Bachelor’s Degree in Mechanical / Civil Engineering or equivalent. 5+ years (Engineer) / 10+ years (Sr. Engineer) of relevant procurement experience in an EPC environment. Experience in sourcing and managing materials for piping, structural steel, and cement/civil works . Strong knowledge of IS/ASTM/ASME standards and civil/piping drawings. Hands-on experience with ERP systems (e.g., SAP, Oracle). Good knowledge of Incoterms, logistics, inspection, and vendor quality protocols. Excellent negotiation and communication skills. Preferred Experience: Experience in water & wastewater , infrastructure , or industrial EPC projects. Exposure to both domestic and international suppliers. Familiarity with site requirements, packaging, and shipping logistics.

Qualification: BE/B.Tech – Civil Engineering Experience: 6+ Year Roles & Responsibilities : • Should have knowledge and experience in finishing work i.e. gypsum and sand plaster, tiling, waterproofing, painting, false ceiling, aluminum sliding and carpentry work. • Coordinate the team members and provide adequate information for the progress. • Workout quantities of all finishing work. • Workout material wastage • Responsible for interior Finishing Works. • Plan for the material, Manpower, and activities prior to a month in addition to the weekly and daily • Work-out quantities of various materials and prepare indent for a purchase order. • Reinforcement and framework final checking in the structural components as per approved drawing to prevent future errors. • Preparation of Bar Bending Schedule (BBS) and concrete reconciliation. • Checking of Centerline for the structural components with respect to the survey points. • Verification of pour card for the structure to be cast and make sure the dimensional parameters. • Prepare Monthly Reports, MOM, checklists, and other necessary paperwork needed for ISO Documentation. • Execute All finishing work like Gypsum, Waterproofing, and Tilling Work. Preparation of Bar Bending Schedule (BBS) and concrete reconciliation. Checking of Centerline for the structural components with respect to the survey points. • Maintain proper daily reports about the project activities and discuss the project information with the Project manager and with senior faculties. • Knowledge of site execution, piling, anchoring, RCC, Finishing work, waterproofing and civil works

About Client : Our client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. They helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Powering this growth is our clients talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications. Job Title: Sr. Python Location: Pan India Experience:6+ years Employment Type: Contract to hire Work Mode: Remote Notice Period: Immediate joiners Required Skills: Strong experience with Python Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases . Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.

• 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.