Experience : 8.00 + years Salary : USD 4074-4814 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 5 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - A leading US-based digital consultancy with a track record of excellence) What do you need for this opportunity? Must have skills required: FastAPI, Hugging Face, Knowledge graphs, MLOps, Quantization, TensorFlow, AI, ChatGPT, LLM Fine-tuning, Rag (retrieval-augmented generation), Vector databases, Python A leading US-based digital consultancy with a track record of excellence is Looking for: Role : Senior Python / AI Engineer: Hybrid (Mumbai) Experience : 6+years Work Location : Mumbai : Hybrid (One week in a month) Engagement : Contract To Hire (Initially 5 months to start) : Start date : Immediate Timing : 2pm to 11 pm IST Interview process: 2 Rounds(Aptitude round + Technical round ) Job Description : Overall Job Mission: To design, develop, implement, and optimize AI-driven solutions by effectively leveraging and integrating existing Large Language Models and related technologies. Outcomes (What does the person need to achieve?) LLM Integration & Application Development: Successfully integrate existing LLMs (e.g., GPT, LLaMA, Mistral, Claude, Gemini) into Python-based applications to deliver AI-powered features. (e.g., Develop and deploy 3 applications with LLM-driven functionality within the first 6 months with a user satisfaction rating of 4.5/5). Prompt Engineering & Optimization: Design, implement, and rigorously test prompts to maximize the effectiveness and accuracy of existing LLMs for specific application requirements. (e.g., Improve the accuracy of LLM-driven features by 20% through prompt engineering best practices). AI Solution Optimization: Optimize the performance, efficiency, and scalability of AI solutions built with LLMs, focusing on factors like response time, cost-effectiveness, and resource utilization. (e.g., Reduce the average response time of LLM-based applications by 15% while maintaining accuracy). Data Handling & Retrieval: Implement effective data processing, including preprocessing and cleaning of text datasets, and utilize vector databases to enable efficient information retrieval for LLM applications. (e.g., Achieve a 90% success rate in retrieving relevant information from vector databases for LLM queries). Deployment & Scalability: Deploy and scale LLM-powered applications on cloud platforms to support a growing user base and ensure high availability. (e.g., Successfully scale LLM applications to handle a 50% increase in user traffic without performance degradation). Competencies (How does the person need to behave?) LLM Application Expertise: Possesses strong skills in integrating and applying existing LLMs through APIs and libraries, with a focus on prompt engineering and application development. Python Development & AI Frameworks: Demonstrates proficiency in Python programming and AI/ML frameworks (Hugging Face, PyTorch, TensorFlow) for building and deploying LLM-based solutions. Problem Solving & Adaptability: Exhibits the ability to solve challenges related to LLM integration, optimize performance, and adapt to the evolving landscape of LLM technologies. Collaboration & Communication: Effectively communicates technical solutions and collaborates with cross-functional teams to deliver impactful AI applications. Results Orientation: Focuses on delivering functional, efficient, and scalable AI solutions that meet business needs and user expectations. Required Skills & Experience- Must-Have Hands-on Experience: Python programming with AI/ML frameworks (Hugging Face, PyTorch, TensorFlow). Hands-on experience working with LLMs and fine-tuning. Experience in prompt engineering and optimizing AI model outputs. Building APIs with FastAPI or Flask for AI model integration. Familiarity with vector databases and embedding models. Experience with LangChain, LlamaIndex, or Retrieval-Augmented Generation (RAG). Nice to Have (or Learn on the Job): Knowledge of quantization techniques (LoRA, GPTQ, vLLM, ONNX) for efficient model deployment. Experience working with knowledge graphs and reasoning-based AI. Background in MLOps for tracking and managing AI models. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

POSITION DESCRIPTION : Setting Up project management for quality services at client location. Responsible for complete site management related to operations, Quality, Reporting, Redi processes, recruitment and training, Inspector development, etc. Establish and maintain a strong relationship with the Client Management. Organize operations: For each Quality control, deploy resources, documents, methods, reporting, etc … Manage a team at Site, depending on the size of the operations. Inspectors Management: instructions, controls of procedures, Quality audit, control of lead-time, etc … In charge of the location / Region: direct reporting to Operation Quality Manager, profitability draft, statistics concerning the correct use of resources, identification of requirements to support the process, etc... Execution management: Managing customer relationship, Handling Customer complaint, rout cause analysis and corrective action, inspector training. Project Specific Requirement: handling customer specific technical requirement, Quality Requirements & Reporting requirement. Computer Skills: Handson MS Word, Excel, Power Point, can develop report structure, data analytics with graphs & able deliver customer specific reporting Quality Control Skills: Having experience into Engineering / Automotive Quality Domain including commodities like Casting, Forging, Sheet Metal, Plastic Molding,Rubber, Welding & fabrication, Machining & Assembly processes. Customer centric Approach: Flexible, adoptable & service-oriented approach to deliver the best result to customer. able to bring change to deliver customer satisfaction. Qualification: Diploma or BE (Mechanical, Automobile & Production). Duration of exp: Required 5 to 7 years’ Experience. Job Types: Full-time, Permanent Pay: ₹400,000.00 - ₹450,000.00 per year Benefits: Food provided Health insurance Leave encashment Provident Fund Schedule: Day shift Work Location: In person Expected Start Date: 08/06/2025

Control Automation Analyst1 (C09) -SIS About CITI Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have 200+ years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. About AIM: Analytics and Information Management (AIM) is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast-growing organization working with Citi businesses and functions across the world. What do we do: We simplify, streamline, and automate controls—strengthening our ability to prevent issues. Control Testing Automation Team automates manual testing through data driven capabilities using industry standard tools & techniques in collaboration with Business, Internal Audit, Internal Citi Risk and Control and Technology. Through automation we identify control, testing gaps and provide the evidence to Business/Risk teams to mitigate any type of risk like Regulatory/AML/KYC/Sanctions/Anti Bribery/Sales Practice/Reputational/Fraud and Theft. Expertise Required: Analytical Skills Good in Data analysis & Data patterns. Beginner level in transforming data sets, quantitative and qualitative analysis into compelling visuals. Capable of designing and development of Charts, Graphs, and simple Dashboards for Controls Testing Automation. Provide recommendations and generate actionable Business Insights. Tools and Platforms Hands-on experience in Tableau/Power BI(Beginner) Knowledge in SQL, Teradata Proficient in MS Excel, PowerPoint Soft Skills Excellent verbal/written communication, and inter-personal skills. Ability to thrive in a dynamic and fast-paced environment. Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc. Proactive approach in solving problems and eye for details. A strong team player Basic Qualifications Master’s degree in information technology / Information Systems / Computer Applications / Engineering from a premier institute. BTech/B. E/MCA in Information Technology / Information Systems / Computer Applications. (Preferred) Postgraduate in – Masters in computers 0 - 3 years of hands-on experience in delivering Tableau/Power BI Dashboards/MIS/Data analysis solutions. - Job Family Group: Decision Management - Job Family: Data/Information Management - Time Type: Full time - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. ͏ Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customer’s business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement ͏ Deliver No Performance Parameter Measure 1. Analyses data sets and provide relevant information to the client No. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy ͏ ͏ Mandatory Skills: Tableau. Experience: 3-5 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Position - Flutter Developer Experience - 3+years Develop and maintain high-quality mobile applications using Flutter. Implement state management using GetX . Work with visualization libraries for charts, graphs, sheets, calendar views, and timetable views. Utilize compute and isolate for multi-threading to enhance performance. Integrate with REST APIs, Firebase, and third-party libraries . Ensure high performance, responsiveness, and a smooth user experience. Optimize application performance, fix bugs, and improve application usability. Collaborate with UI/UX designers to implement modern and intuitive interfaces. Implement Flutter unit testing, widget testing, and integration testing . Work on native development (Android - Java/Kotlin or iOS - Objective-C/Swift) when required. Keep up to date with new Flutter updates, best practices, and industry trends. Job Type: Full-time Pay: From ₹50,000.00 per month Benefits: Paid sick time Schedule: Day shift Monday to Friday Work Location: In person

Experience : 8.00 + years Salary : USD 4074-4814 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 5 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - A leading US-based digital consultancy with a track record of excellence) What do you need for this opportunity? Must have skills required: FastAPI, Hugging Face, Knowledge graphs, MLOps, Quantization, TensorFlow, AI, ChatGPT, LLM Fine-tuning, Rag (retrieval-augmented generation), Vector databases, Python A leading US-based digital consultancy with a track record of excellence is Looking for: Role : Senior Python / AI Engineer: Hybrid (Mumbai) Experience : 6+years Work Location : Mumbai : Hybrid (One week in a month) Engagement : Contract To Hire (Initially 5 months to start) : Start date : Immediate Timing : 2pm to 11 pm IST Interview process: 2 Rounds(Aptitude round + Technical round ) Job Description : Overall Job Mission: To design, develop, implement, and optimize AI-driven solutions by effectively leveraging and integrating existing Large Language Models and related technologies. Outcomes (What does the person need to achieve?) LLM Integration & Application Development: Successfully integrate existing LLMs (e.g., GPT, LLaMA, Mistral, Claude, Gemini) into Python-based applications to deliver AI-powered features. (e.g., Develop and deploy 3 applications with LLM-driven functionality within the first 6 months with a user satisfaction rating of 4.5/5). Prompt Engineering & Optimization: Design, implement, and rigorously test prompts to maximize the effectiveness and accuracy of existing LLMs for specific application requirements. (e.g., Improve the accuracy of LLM-driven features by 20% through prompt engineering best practices). AI Solution Optimization: Optimize the performance, efficiency, and scalability of AI solutions built with LLMs, focusing on factors like response time, cost-effectiveness, and resource utilization. (e.g., Reduce the average response time of LLM-based applications by 15% while maintaining accuracy). Data Handling & Retrieval: Implement effective data processing, including preprocessing and cleaning of text datasets, and utilize vector databases to enable efficient information retrieval for LLM applications. (e.g., Achieve a 90% success rate in retrieving relevant information from vector databases for LLM queries). Deployment & Scalability: Deploy and scale LLM-powered applications on cloud platforms to support a growing user base and ensure high availability. (e.g., Successfully scale LLM applications to handle a 50% increase in user traffic without performance degradation). Competencies (How does the person need to behave?) LLM Application Expertise: Possesses strong skills in integrating and applying existing LLMs through APIs and libraries, with a focus on prompt engineering and application development. Python Development & AI Frameworks: Demonstrates proficiency in Python programming and AI/ML frameworks (Hugging Face, PyTorch, TensorFlow) for building and deploying LLM-based solutions. Problem Solving & Adaptability: Exhibits the ability to solve challenges related to LLM integration, optimize performance, and adapt to the evolving landscape of LLM technologies. Collaboration & Communication: Effectively communicates technical solutions and collaborates with cross-functional teams to deliver impactful AI applications. Results Orientation: Focuses on delivering functional, efficient, and scalable AI solutions that meet business needs and user expectations. Required Skills & Experience- Must-Have Hands-on Experience: Python programming with AI/ML frameworks (Hugging Face, PyTorch, TensorFlow). Hands-on experience working with LLMs and fine-tuning. Experience in prompt engineering and optimizing AI model outputs. Building APIs with FastAPI or Flask for AI model integration. Familiarity with vector databases and embedding models. Experience with LangChain, LlamaIndex, or Retrieval-Augmented Generation (RAG). Nice to Have (or Learn on the Job): Knowledge of quantization techniques (LoRA, GPTQ, vLLM, ONNX) for efficient model deployment. Experience working with knowledge graphs and reasoning-based AI. Background in MLOps for tracking and managing AI models. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 8.00 + years Salary : USD 4074-4814 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 5 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - A leading US-based digital consultancy with a track record of excellence) What do you need for this opportunity? Must have skills required: FastAPI, Hugging Face, Knowledge graphs, MLOps, Quantization, TensorFlow, AI, ChatGPT, LLM Fine-tuning, Rag (retrieval-augmented generation), Vector databases, Python A leading US-based digital consultancy with a track record of excellence is Looking for: Role : Senior Python / AI Engineer: Hybrid (Mumbai) Experience : 6+years Work Location : Mumbai : Hybrid (One week in a month) Engagement : Contract To Hire (Initially 5 months to start) : Start date : Immediate Timing : 2pm to 11 pm IST Interview process: 2 Rounds(Aptitude round + Technical round ) Job Description : Overall Job Mission: To design, develop, implement, and optimize AI-driven solutions by effectively leveraging and integrating existing Large Language Models and related technologies. Outcomes (What does the person need to achieve?) LLM Integration & Application Development: Successfully integrate existing LLMs (e.g., GPT, LLaMA, Mistral, Claude, Gemini) into Python-based applications to deliver AI-powered features. (e.g., Develop and deploy 3 applications with LLM-driven functionality within the first 6 months with a user satisfaction rating of 4.5/5). Prompt Engineering & Optimization: Design, implement, and rigorously test prompts to maximize the effectiveness and accuracy of existing LLMs for specific application requirements. (e.g., Improve the accuracy of LLM-driven features by 20% through prompt engineering best practices). AI Solution Optimization: Optimize the performance, efficiency, and scalability of AI solutions built with LLMs, focusing on factors like response time, cost-effectiveness, and resource utilization. (e.g., Reduce the average response time of LLM-based applications by 15% while maintaining accuracy). Data Handling & Retrieval: Implement effective data processing, including preprocessing and cleaning of text datasets, and utilize vector databases to enable efficient information retrieval for LLM applications. (e.g., Achieve a 90% success rate in retrieving relevant information from vector databases for LLM queries). Deployment & Scalability: Deploy and scale LLM-powered applications on cloud platforms to support a growing user base and ensure high availability. (e.g., Successfully scale LLM applications to handle a 50% increase in user traffic without performance degradation). Competencies (How does the person need to behave?) LLM Application Expertise: Possesses strong skills in integrating and applying existing LLMs through APIs and libraries, with a focus on prompt engineering and application development. Python Development & AI Frameworks: Demonstrates proficiency in Python programming and AI/ML frameworks (Hugging Face, PyTorch, TensorFlow) for building and deploying LLM-based solutions. Problem Solving & Adaptability: Exhibits the ability to solve challenges related to LLM integration, optimize performance, and adapt to the evolving landscape of LLM technologies. Collaboration & Communication: Effectively communicates technical solutions and collaborates with cross-functional teams to deliver impactful AI applications. Results Orientation: Focuses on delivering functional, efficient, and scalable AI solutions that meet business needs and user expectations. Required Skills & Experience- Must-Have Hands-on Experience: Python programming with AI/ML frameworks (Hugging Face, PyTorch, TensorFlow). Hands-on experience working with LLMs and fine-tuning. Experience in prompt engineering and optimizing AI model outputs. Building APIs with FastAPI or Flask for AI model integration. Familiarity with vector databases and embedding models. Experience with LangChain, LlamaIndex, or Retrieval-Augmented Generation (RAG). Nice to Have (or Learn on the Job): Knowledge of quantization techniques (LoRA, GPTQ, vLLM, ONNX) for efficient model deployment. Experience working with knowledge graphs and reasoning-based AI. Background in MLOps for tracking and managing AI models. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 8.00 + years Salary : USD 4074-4814 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 5 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - A leading US-based digital consultancy with a track record of excellence) What do you need for this opportunity? Must have skills required: FastAPI, Hugging Face, Knowledge graphs, MLOps, Quantization, TensorFlow, AI, ChatGPT, LLM Fine-tuning, Rag (retrieval-augmented generation), Vector databases, Python A leading US-based digital consultancy with a track record of excellence is Looking for: Role : Senior Python / AI Engineer: Hybrid (Mumbai) Experience : 6+years Work Location : Mumbai : Hybrid (One week in a month) Engagement : Contract To Hire (Initially 5 months to start) : Start date : Immediate Timing : 2pm to 11 pm IST Interview process: 2 Rounds(Aptitude round + Technical round ) Job Description : Overall Job Mission: To design, develop, implement, and optimize AI-driven solutions by effectively leveraging and integrating existing Large Language Models and related technologies. Outcomes (What does the person need to achieve?) LLM Integration & Application Development: Successfully integrate existing LLMs (e.g., GPT, LLaMA, Mistral, Claude, Gemini) into Python-based applications to deliver AI-powered features. (e.g., Develop and deploy 3 applications with LLM-driven functionality within the first 6 months with a user satisfaction rating of 4.5/5). Prompt Engineering & Optimization: Design, implement, and rigorously test prompts to maximize the effectiveness and accuracy of existing LLMs for specific application requirements. (e.g., Improve the accuracy of LLM-driven features by 20% through prompt engineering best practices). AI Solution Optimization: Optimize the performance, efficiency, and scalability of AI solutions built with LLMs, focusing on factors like response time, cost-effectiveness, and resource utilization. (e.g., Reduce the average response time of LLM-based applications by 15% while maintaining accuracy). Data Handling & Retrieval: Implement effective data processing, including preprocessing and cleaning of text datasets, and utilize vector databases to enable efficient information retrieval for LLM applications. (e.g., Achieve a 90% success rate in retrieving relevant information from vector databases for LLM queries). Deployment & Scalability: Deploy and scale LLM-powered applications on cloud platforms to support a growing user base and ensure high availability. (e.g., Successfully scale LLM applications to handle a 50% increase in user traffic without performance degradation). Competencies (How does the person need to behave?) LLM Application Expertise: Possesses strong skills in integrating and applying existing LLMs through APIs and libraries, with a focus on prompt engineering and application development. Python Development & AI Frameworks: Demonstrates proficiency in Python programming and AI/ML frameworks (Hugging Face, PyTorch, TensorFlow) for building and deploying LLM-based solutions. Problem Solving & Adaptability: Exhibits the ability to solve challenges related to LLM integration, optimize performance, and adapt to the evolving landscape of LLM technologies. Collaboration & Communication: Effectively communicates technical solutions and collaborates with cross-functional teams to deliver impactful AI applications. Results Orientation: Focuses on delivering functional, efficient, and scalable AI solutions that meet business needs and user expectations. Required Skills & Experience- Must-Have Hands-on Experience: Python programming with AI/ML frameworks (Hugging Face, PyTorch, TensorFlow). Hands-on experience working with LLMs and fine-tuning. Experience in prompt engineering and optimizing AI model outputs. Building APIs with FastAPI or Flask for AI model integration. Familiarity with vector databases and embedding models. Experience with LangChain, LlamaIndex, or Retrieval-Augmented Generation (RAG). Nice to Have (or Learn on the Job): Knowledge of quantization techniques (LoRA, GPTQ, vLLM, ONNX) for efficient model deployment. Experience working with knowledge graphs and reasoning-based AI. Background in MLOps for tracking and managing AI models. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 8.00 + years Salary : USD 4074-4814 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 5 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - A leading US-based digital consultancy with a track record of excellence) What do you need for this opportunity? Must have skills required: FastAPI, Hugging Face, Knowledge graphs, MLOps, Quantization, TensorFlow, AI, ChatGPT, LLM Fine-tuning, Rag (retrieval-augmented generation), Vector databases, Python A leading US-based digital consultancy with a track record of excellence is Looking for: Role : Senior Python / AI Engineer: Hybrid (Mumbai) Experience : 6+years Work Location : Mumbai : Hybrid (One week in a month) Engagement : Contract To Hire (Initially 5 months to start) : Start date : Immediate Timing : 2pm to 11 pm IST Interview process: 2 Rounds(Aptitude round + Technical round ) Job Description : Overall Job Mission: To design, develop, implement, and optimize AI-driven solutions by effectively leveraging and integrating existing Large Language Models and related technologies. Outcomes (What does the person need to achieve?) LLM Integration & Application Development: Successfully integrate existing LLMs (e.g., GPT, LLaMA, Mistral, Claude, Gemini) into Python-based applications to deliver AI-powered features. (e.g., Develop and deploy 3 applications with LLM-driven functionality within the first 6 months with a user satisfaction rating of 4.5/5). Prompt Engineering & Optimization: Design, implement, and rigorously test prompts to maximize the effectiveness and accuracy of existing LLMs for specific application requirements. (e.g., Improve the accuracy of LLM-driven features by 20% through prompt engineering best practices). AI Solution Optimization: Optimize the performance, efficiency, and scalability of AI solutions built with LLMs, focusing on factors like response time, cost-effectiveness, and resource utilization. (e.g., Reduce the average response time of LLM-based applications by 15% while maintaining accuracy). Data Handling & Retrieval: Implement effective data processing, including preprocessing and cleaning of text datasets, and utilize vector databases to enable efficient information retrieval for LLM applications. (e.g., Achieve a 90% success rate in retrieving relevant information from vector databases for LLM queries). Deployment & Scalability: Deploy and scale LLM-powered applications on cloud platforms to support a growing user base and ensure high availability. (e.g., Successfully scale LLM applications to handle a 50% increase in user traffic without performance degradation). Competencies (How does the person need to behave?) LLM Application Expertise: Possesses strong skills in integrating and applying existing LLMs through APIs and libraries, with a focus on prompt engineering and application development. Python Development & AI Frameworks: Demonstrates proficiency in Python programming and AI/ML frameworks (Hugging Face, PyTorch, TensorFlow) for building and deploying LLM-based solutions. Problem Solving & Adaptability: Exhibits the ability to solve challenges related to LLM integration, optimize performance, and adapt to the evolving landscape of LLM technologies. Collaboration & Communication: Effectively communicates technical solutions and collaborates with cross-functional teams to deliver impactful AI applications. Results Orientation: Focuses on delivering functional, efficient, and scalable AI solutions that meet business needs and user expectations. Required Skills & Experience- Must-Have Hands-on Experience: Python programming with AI/ML frameworks (Hugging Face, PyTorch, TensorFlow). Hands-on experience working with LLMs and fine-tuning. Experience in prompt engineering and optimizing AI model outputs. Building APIs with FastAPI or Flask for AI model integration. Familiarity with vector databases and embedding models. Experience with LangChain, LlamaIndex, or Retrieval-Augmented Generation (RAG). Nice to Have (or Learn on the Job): Knowledge of quantization techniques (LoRA, GPTQ, vLLM, ONNX) for efficient model deployment. Experience working with knowledge graphs and reasoning-based AI. Background in MLOps for tracking and managing AI models. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 8.00 + years Salary : USD 4074-4814 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 5 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - A leading US-based digital consultancy with a track record of excellence) What do you need for this opportunity? Must have skills required: FastAPI, Hugging Face, Knowledge graphs, MLOps, Quantization, TensorFlow, AI, ChatGPT, LLM Fine-tuning, Rag (retrieval-augmented generation), Vector databases, Python A leading US-based digital consultancy with a track record of excellence is Looking for: Role : Senior Python / AI Engineer: Hybrid (Mumbai) Experience : 6+years Work Location : Mumbai : Hybrid (One week in a month) Engagement : Contract To Hire (Initially 5 months to start) : Start date : Immediate Timing : 2pm to 11 pm IST Interview process: 2 Rounds(Aptitude round + Technical round ) Job Description : Overall Job Mission: To design, develop, implement, and optimize AI-driven solutions by effectively leveraging and integrating existing Large Language Models and related technologies. Outcomes (What does the person need to achieve?) LLM Integration & Application Development: Successfully integrate existing LLMs (e.g., GPT, LLaMA, Mistral, Claude, Gemini) into Python-based applications to deliver AI-powered features. (e.g., Develop and deploy 3 applications with LLM-driven functionality within the first 6 months with a user satisfaction rating of 4.5/5). Prompt Engineering & Optimization: Design, implement, and rigorously test prompts to maximize the effectiveness and accuracy of existing LLMs for specific application requirements. (e.g., Improve the accuracy of LLM-driven features by 20% through prompt engineering best practices). AI Solution Optimization: Optimize the performance, efficiency, and scalability of AI solutions built with LLMs, focusing on factors like response time, cost-effectiveness, and resource utilization. (e.g., Reduce the average response time of LLM-based applications by 15% while maintaining accuracy). Data Handling & Retrieval: Implement effective data processing, including preprocessing and cleaning of text datasets, and utilize vector databases to enable efficient information retrieval for LLM applications. (e.g., Achieve a 90% success rate in retrieving relevant information from vector databases for LLM queries). Deployment & Scalability: Deploy and scale LLM-powered applications on cloud platforms to support a growing user base and ensure high availability. (e.g., Successfully scale LLM applications to handle a 50% increase in user traffic without performance degradation). Competencies (How does the person need to behave?) LLM Application Expertise: Possesses strong skills in integrating and applying existing LLMs through APIs and libraries, with a focus on prompt engineering and application development. Python Development & AI Frameworks: Demonstrates proficiency in Python programming and AI/ML frameworks (Hugging Face, PyTorch, TensorFlow) for building and deploying LLM-based solutions. Problem Solving & Adaptability: Exhibits the ability to solve challenges related to LLM integration, optimize performance, and adapt to the evolving landscape of LLM technologies. Collaboration & Communication: Effectively communicates technical solutions and collaborates with cross-functional teams to deliver impactful AI applications. Results Orientation: Focuses on delivering functional, efficient, and scalable AI solutions that meet business needs and user expectations. Required Skills & Experience- Must-Have Hands-on Experience: Python programming with AI/ML frameworks (Hugging Face, PyTorch, TensorFlow). Hands-on experience working with LLMs and fine-tuning. Experience in prompt engineering and optimizing AI model outputs. Building APIs with FastAPI or Flask for AI model integration. Familiarity with vector databases and embedding models. Experience with LangChain, LlamaIndex, or Retrieval-Augmented Generation (RAG). Nice to Have (or Learn on the Job): Knowledge of quantization techniques (LoRA, GPTQ, vLLM, ONNX) for efficient model deployment. Experience working with knowledge graphs and reasoning-based AI. Background in MLOps for tracking and managing AI models. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 8.00 + years Salary : USD 4074-4814 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 5 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - A leading US-based digital consultancy with a track record of excellence) What do you need for this opportunity? Must have skills required: FastAPI, Hugging Face, Knowledge graphs, MLOps, Quantization, TensorFlow, AI, ChatGPT, LLM Fine-tuning, Rag (retrieval-augmented generation), Vector databases, Python A leading US-based digital consultancy with a track record of excellence is Looking for: Role : Senior Python / AI Engineer: Hybrid (Mumbai) Experience : 6+years Work Location : Mumbai : Hybrid (One week in a month) Engagement : Contract To Hire (Initially 5 months to start) : Start date : Immediate Timing : 2pm to 11 pm IST Interview process: 2 Rounds(Aptitude round + Technical round ) Job Description : Overall Job Mission: To design, develop, implement, and optimize AI-driven solutions by effectively leveraging and integrating existing Large Language Models and related technologies. Outcomes (What does the person need to achieve?) LLM Integration & Application Development: Successfully integrate existing LLMs (e.g., GPT, LLaMA, Mistral, Claude, Gemini) into Python-based applications to deliver AI-powered features. (e.g., Develop and deploy 3 applications with LLM-driven functionality within the first 6 months with a user satisfaction rating of 4.5/5). Prompt Engineering & Optimization: Design, implement, and rigorously test prompts to maximize the effectiveness and accuracy of existing LLMs for specific application requirements. (e.g., Improve the accuracy of LLM-driven features by 20% through prompt engineering best practices). AI Solution Optimization: Optimize the performance, efficiency, and scalability of AI solutions built with LLMs, focusing on factors like response time, cost-effectiveness, and resource utilization. (e.g., Reduce the average response time of LLM-based applications by 15% while maintaining accuracy). Data Handling & Retrieval: Implement effective data processing, including preprocessing and cleaning of text datasets, and utilize vector databases to enable efficient information retrieval for LLM applications. (e.g., Achieve a 90% success rate in retrieving relevant information from vector databases for LLM queries). Deployment & Scalability: Deploy and scale LLM-powered applications on cloud platforms to support a growing user base and ensure high availability. (e.g., Successfully scale LLM applications to handle a 50% increase in user traffic without performance degradation). Competencies (How does the person need to behave?) LLM Application Expertise: Possesses strong skills in integrating and applying existing LLMs through APIs and libraries, with a focus on prompt engineering and application development. Python Development & AI Frameworks: Demonstrates proficiency in Python programming and AI/ML frameworks (Hugging Face, PyTorch, TensorFlow) for building and deploying LLM-based solutions. Problem Solving & Adaptability: Exhibits the ability to solve challenges related to LLM integration, optimize performance, and adapt to the evolving landscape of LLM technologies. Collaboration & Communication: Effectively communicates technical solutions and collaborates with cross-functional teams to deliver impactful AI applications. Results Orientation: Focuses on delivering functional, efficient, and scalable AI solutions that meet business needs and user expectations. Required Skills & Experience- Must-Have Hands-on Experience: Python programming with AI/ML frameworks (Hugging Face, PyTorch, TensorFlow). Hands-on experience working with LLMs and fine-tuning. Experience in prompt engineering and optimizing AI model outputs. Building APIs with FastAPI or Flask for AI model integration. Familiarity with vector databases and embedding models. Experience with LangChain, LlamaIndex, or Retrieval-Augmented Generation (RAG). Nice to Have (or Learn on the Job): Knowledge of quantization techniques (LoRA, GPTQ, vLLM, ONNX) for efficient model deployment. Experience working with knowledge graphs and reasoning-based AI. Background in MLOps for tracking and managing AI models. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 8.00 + years Salary : USD 4074-4814 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 5 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - A leading US-based digital consultancy with a track record of excellence) What do you need for this opportunity? Must have skills required: FastAPI, Hugging Face, Knowledge graphs, MLOps, Quantization, TensorFlow, AI, ChatGPT, LLM Fine-tuning, Rag (retrieval-augmented generation), Vector databases, Python A leading US-based digital consultancy with a track record of excellence is Looking for: Role : Senior Python / AI Engineer: Hybrid (Mumbai) Experience : 6+years Work Location : Mumbai : Hybrid (One week in a month) Engagement : Contract To Hire (Initially 5 months to start) : Start date : Immediate Timing : 2pm to 11 pm IST Interview process: 2 Rounds(Aptitude round + Technical round ) Job Description : Overall Job Mission: To design, develop, implement, and optimize AI-driven solutions by effectively leveraging and integrating existing Large Language Models and related technologies. Outcomes (What does the person need to achieve?) LLM Integration & Application Development: Successfully integrate existing LLMs (e.g., GPT, LLaMA, Mistral, Claude, Gemini) into Python-based applications to deliver AI-powered features. (e.g., Develop and deploy 3 applications with LLM-driven functionality within the first 6 months with a user satisfaction rating of 4.5/5). Prompt Engineering & Optimization: Design, implement, and rigorously test prompts to maximize the effectiveness and accuracy of existing LLMs for specific application requirements. (e.g., Improve the accuracy of LLM-driven features by 20% through prompt engineering best practices). AI Solution Optimization: Optimize the performance, efficiency, and scalability of AI solutions built with LLMs, focusing on factors like response time, cost-effectiveness, and resource utilization. (e.g., Reduce the average response time of LLM-based applications by 15% while maintaining accuracy). Data Handling & Retrieval: Implement effective data processing, including preprocessing and cleaning of text datasets, and utilize vector databases to enable efficient information retrieval for LLM applications. (e.g., Achieve a 90% success rate in retrieving relevant information from vector databases for LLM queries). Deployment & Scalability: Deploy and scale LLM-powered applications on cloud platforms to support a growing user base and ensure high availability. (e.g., Successfully scale LLM applications to handle a 50% increase in user traffic without performance degradation). Competencies (How does the person need to behave?) LLM Application Expertise: Possesses strong skills in integrating and applying existing LLMs through APIs and libraries, with a focus on prompt engineering and application development. Python Development & AI Frameworks: Demonstrates proficiency in Python programming and AI/ML frameworks (Hugging Face, PyTorch, TensorFlow) for building and deploying LLM-based solutions. Problem Solving & Adaptability: Exhibits the ability to solve challenges related to LLM integration, optimize performance, and adapt to the evolving landscape of LLM technologies. Collaboration & Communication: Effectively communicates technical solutions and collaborates with cross-functional teams to deliver impactful AI applications. Results Orientation: Focuses on delivering functional, efficient, and scalable AI solutions that meet business needs and user expectations. Required Skills & Experience- Must-Have Hands-on Experience: Python programming with AI/ML frameworks (Hugging Face, PyTorch, TensorFlow). Hands-on experience working with LLMs and fine-tuning. Experience in prompt engineering and optimizing AI model outputs. Building APIs with FastAPI or Flask for AI model integration. Familiarity with vector databases and embedding models. Experience with LangChain, LlamaIndex, or Retrieval-Augmented Generation (RAG). Nice to Have (or Learn on the Job): Knowledge of quantization techniques (LoRA, GPTQ, vLLM, ONNX) for efficient model deployment. Experience working with knowledge graphs and reasoning-based AI. Background in MLOps for tracking and managing AI models. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

We are seeking an experienced and passionate Technical Trainer with 1yrs expertise in Advanced Programming and Data Structures & Algorithms (DSA) to join our team. Key Responsibilities: Design and deliver comprehensive training sessions on advanced programming concepts, DSA, and related topics. Develop customized curricula, lesson plans, and hands-on exercises to meet learning objectives. Mentor and guide learners through problem-solving approaches, competitive programming, and real-world coding challenges. Collaborate with other trainers, content developers, and stakeholders to improve training programs and materials. Proficiency in C++, Java, and/or Python. Data Structures & Algorithms: Deep knowledge of arrays, linked lists, trees, graphs, has maps, and other core data structures. Expertise in sorting, searching, dynamic programming, greedy algorithms, and divide-and-conquer strategies. Ability to explain complex time and space complexities and optimize code efficiently. Familiarity with competitive programming paradigms such as bit manipulation, game theory, and advanced graph algorithms. Skills: Bachelor’s degree in Computer Science, Engineering, or a related field. Strong communication and presentation skills, with the ability to explain complex concepts in a simple manner. Ability to motivate and inspire learners to achieve their goals. Call at 8146651512 Show more Show less

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! Job Description Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! We invite you to be part of motivated and agile Qualys engineering team responsible for developing high-end Cloud based Security Solutions. This opening is your chance to work in the rapidly expanding field of computer security, in a company with excellent customer ratings and outstanding growth rates. In this position you will be testing product for quality and performance, building utilities for automated functionality testing, and utilize advanced testing methodologies to deliver cutting edge products. This position is for our fastest growing R&D center in Pune, India, which is part of multi-continent engineering team. Responsibilities: Proficient in Performance testing tools like JMeter Manage for planning and creating automated performance tests, executing tests, and results to measure performance, scalability, stability and reliability. Expertise in Test Planning, Test Estimation, Test Strategy, Work Load Design, Test Cases Design, Test Environment Setup, Test Data Setup, Defect Management. Experience in Application Monitoring Tools like AppDynamics. Experience in Applications like ElasticSearch, OpenSearch, Grafana, Kafka. Hands-on experience in writing and executing performance test scenarios for complex systems. Hands-on experience with performance test simulations, performance analysis, performance tuning, performance monitoring in a microservices environment Perform analysis of performance issues in Pre-production and/or Production environments. Hands- on experience in analyzing the performance results - Capture/Analyze/Interpret technical data - performance metrics from application, database, OS, and Network. Demonstrated ability to capture key metrics, create accurate status reports and effectively communicate to the stake holders. Experience in Cloud (AWS / Azure) environment, Docker/Kubernetes. Analyze the CPU Utilization, Memory usage, Network usage, Garbage Collection to verify the performance of the applications. Identifying memory leakage, connection issues & Bottleneck problem in the application. Generate performance graphs, session reports, and other related documentation required for validation and analysis. Publish results and provide appropriate signoff. Prepare detailed status reports, and monitoring of all defects and issues. Good understanding of basic DB tuning, application server tuning and common issues around performance and scalability. Strong problem-solving skills and very good communication and time management skills. Qualifications: Degree in Computer Science or equivalent 9+ years of work experience in the field of software testing and test automation of multi-tier Enterprise and/or Cloud, SaaS applications Good experience in web applications user interface and RESTful web services testing both at functional and non-functional level Knowledge of Java programming that could be used in automation frameworks Experience in writing automation tools/framework (Selenium, JMeter) Understanding of XML, XSD, JSON, REST and SOAP and demonstrated experience with web services APIs Good understanding of computer networks and networking concepts Working knowledge of SQL Databases, like Oracle Good exposure to Linux platform Agile development experience Show more Show less

Responsibilities: The Planner/buyer will Utilize ERP system, (SAP and SAP/APO) to develop near term and long-term production plans. Responsible for planning an OEM and/or Manufactured Product portfolio. Maintain forecast performance, stock levels at local and international forward stocking sites. Also, will purchase materials following business guidelines. Maintaining vendor masters and performance metrics for existing suppliers and evaluate new suppliers. Review purchase requisitions and ERP output for appropriate information and approvals. Confers with suppliers to obtain product or service information such as price, availability, and delivery schedules. Work with manufacturing to maintain parity between costing and BOM/Routing changes Responsible for Purchase order maintenance in SAP with latest information, including reschedule update, Order confirmation and Planning changes Responsible for Service Purchase and service order Follow-up and communication to stake holders Runs and sends suppliers Open Order, Past Due Orders, Supplier Requirements and Kanban reports as required. Enters and reschedules purchase orders in the ERP system in a timely manner. Interfaces directly with internal customers (i.e. Product Managers, Customer Care, Manufacture partners and suppliers to resolve order status, discrepancies, past due items, and schedule/date changes. Resolves invoice discrepancies with suppliers and Accounts Payable. Manages Pcards for invoicing approvals. Coordinates defective and returned materials with suppliers, Quality Assurance, and others to determine root cause, initiate and follow-up on corrective actions. Coordinate office supply ordering and replenishment. Runs, compiles, and distributes reports and databases related to inventory, open Purchase Orders, and suppliers. Develop and administrate reports and databases to support multiple business functions as required. In addition to understanding of fundamental planning concepts the position requires analytical and computer skills, including the ability to analyze data and structure reports. This role requires one to support as per EST time zone. Additional Responsibilities: Maybe Responsible for licensing review or other similar functions associated with material procurement, MRP/ERP systems, and vendor requirements as necessary. Some travel may be required to vendor’s locations or other Revvity sites. Cross training into other areas as needed. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities of this job at any time. Basic Qualifications: Bachelor’s Degree from a four-year college or university desired, and one to three years related experience and or training; or equivalent education and experience. 5+ years of experience in a manufacturing environment required; life sciences environment preferred Ability to write reports, business correspondence and purchase specifications. Ability to effectively present information, and respond to inquiries from management, suppliers, and customers. Ability to calculate figures and amounts such as discounts, interest, commissions, proportions, percentages, area, circumference, and volume. Highly effective time management skills Commitment to customer excellence with demonstrated ethics and integrity. Ability to operate independently and as part of a team Working knowledge of ERP systems (SAP/Oracle) Ability to use excel, creating Pivot tables, graphs for data analysis. Ability to use Word. Ability to create presentations using PowerPoint. Access knowledge a plus Desire to win and make a meaningful contribution to a fast-growing business. Preferred Qualifications: Demonstrated analytical skills and the ability to communicate data points across a multi-level audience. Ability to communicate and collaborate with peers and colleagues, including cross-functional, global partners; actively and constructively works to resolve conflict. Experience driving continuous improvement efforts to ensure optimized efficiency. Strong project management skills using software such as MS Project or Excel. Able to communicate status updates and process improvement efforts clearly and concisely to senior leaders. Experience working in a global, matrix environment. Highly collaborative and organized, with a strong attention to detail. Comfort with ambiguity and ability to work in a self-guided manner. Show more Show less

We are seeking a seasoned and experienced Multi Modal AI Senior Developer with a deep expertise in leveraging Generative AI for creative and content generation at scale. The ideal candidate would have a deep understanding of Multi Modal AI, the ability to leverage Gen-AI models for all creative output and content types, and the ability to work across all content and interaction modalities – including text, visuals, audio/speech and video. A strong foundation in Large Language models and Vision Language Models (VLM) is also highly desirable. As a Multi Modal AI Senior Developer, you will play a key role in building cutting-edge products and innovative solutions, combining the full power of Creative AI workflows, Generative AI, LLMs, and Agentic AI. Your primary focus will be on building bespoke products and creative workflows leveraging Gen-AI models to help build out our creative product portfolio for some of our largest, most strategic enterprise product solutions. The candidate should have a good technical background in Product Development, Cloud-Native App Dev, Front-End and Back-End Web Application Development, and the ability to build these solutions in cloud environments such as Azure and AWS, integrating with the appropriate multi modal AI services. The candidate will also need to have strong expertise with Cloud AI services such as Azure OpenAI, AWS Bedrock, and Google Gemini, and all the foundation models hosted within those services. Additionally, hands-on experience with a variety of foundation models, Vision Language Models (VLMs), Creative AI Services and APIs, and the ability to seamlessly integrate all of these together, in an automated workflow using APIs and AI Assistants, will be an essential skillset. Job Description: Key Skills required : Generative AI, Multi Modal AI Creative AI solutions and workflows across all creative content types including Copy/Text, Imagery, Key Visuals, Characters, Avatars, Audio, Speech and Video AI Creative AI Automation workflows with content creation and content editing at scale, using AI services and AI APIs Experience with multiple Multi Modal AI Foundation Models LLM, LLM App Dev AI Agents, Agentic AI Workflows Responsibilities : Design and build web apps and solutions that leverage Creative AI Services, Multi Modal AI models, and Generative AI workflows Leverage Multi modal AI capabilities supporting all content types and modalities, including text, imagery, audio, speech and video Build creative automation workflows that help produce creative concepts, creative production deliverables, and integrated creative outputs, leveraging AI and Gen-AI models Integrate AI Image Gen Models and AI Image Editing models from key technology partners Integrate Text / Copy Gen Models for key LLM providers Integrate Speech / Audio Gen and Editing models for use cases such as transcription, translation, and AI generated audio narration Integrate AI enabled Video Gen and Video Editing models Fine-Tune Multi Modal AI models for brand specific usage and branded content generation Constantly Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation. Drive product development and delivery within tight timelines Collaborate with full-stack developers, engineers, and quality engineers, to develop and integrate solutions into existing enterprise products. Collaborate with technology leaders and cross-functional teams to develop and validate client requirements and rapidly translate them into working solutions. Develop, implement and optimize scalable AI-enabled products Integrate Gen-AI and Multi Modal AI solutions into Cloud Platforms, Cloud Native Apps, and custom Web Apps Execute implementation across all layers of the application stack – including front-end, back-end, APIs, data and AI services Build enterprise products and full-stack applications on the MERN + Python stack, with a clear separation of concerns across layers Skills and Competencies: Deep Hands-on Experience in Multi modal AI models and tools. Hands-on Experience in API integration with AI services Multi Modal AI – competencies : Hands-on Experience with intelligent document processing and document indexing + document content extraction and querying, using multi modal AI Models Hands-on Experience with using Multi modal AI models and solutions for Imagery and Visual Creative – including text-to-image, image-to-image, image composition, image variations, etc. Hands-on Experience with popular AI Image Composition and Editing models from providers such as Adobe Firefly, Getty Images, ShutterStock, Flux and Flux Pro, and Stable Diffusion, and the ability to integrate them programmatically over API calls and workflows Hands-on Experience with Computer Vision and Image Processing using Multi-modal AI – for use cases such as object detection, automated captioning, automated masking, and image segmentation – again all done programmatically over API calls and Workflows Hands-on Experience with using Multi modal AI for Speech – including Text to Speech, Speech to Text, and use of Pre-built vs. Custom Voices Hands-on Experience with building Voice-enabled and Voice-activated experiences, using Speech AI and Voice AI solutions Hands-on Experience with AI Character and AI Avatar development, using a variety of different tools and platforms Fine-Tuning Creative AI Content models for Custom Styles, Custom Characters, and Custom Brand specific imagery Fine-Tuning Speech Models for Custom Voices Good understanding of advanced fine-tuning techniques such as LoRA Ability to execute and run fine-tuning workflows, end-to-end, in particular for Image Gen and Image Editing models Hands-on Experience with leveraging APIs to orchestrate across Multi Modal AI models Hands-on Experience with building workflows that orchestrate across Multi Modal AI models Good Experience with using AI Assistants to drive natural language interactions and orchestration with Multi Modal AI models Good Experience with use of AI Agents and Agentic AI workflows to drive dynamic orchestration across Multi Modal AI services and models Programming Skills : Good Expertise in MERN stack (JavaScript) including client-side and server-side JavaScript Good Expertise in Python based development, including Python App Dev for Multi Modal AI Integration Well-rounded in both programming languages Strong experience in client-side JavaScript Apps and building Static Web Apps + Dynamic Web Apps both in JavaScript Hands-on Experience in front-end and back-end development Minimum 2+ years hands-on experience in working with Full-Stack MERN apps, using both client-side and server-side JavaScript Minimum 2 years hands-on experience in Python development Minimum 2 years hands-on experience in working with LLMs and LLM models, using Python LLM Dev Skills : Solid Hands-on Experience with building end-to-end RAG pipelines and custom AI indexing solutions to ground LLMs and enhance LLM output Good Experience with building AI and LLM enabled Workflows Hands-on Experience integrating LLMs with external tools such as Web Search Ability to leverage advanced concepts such as tool calling and function calling, with LLM models Hands-on Experience with Conversational AI solutions and chat-driven experiences Experience with multiple LLMs and models – primarily GPT-4o, GPT o1, and o3 mini, and preferably also Gemini, Claude Sonnet, etc. Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, primarily Azure OpenAI, and perferably also AWS Bedrock, and/or GCP Vertex AI. Hands-on Experience with Assistants and the use of Assistants in orchestrating with LLMs Hands-on Experience working with AI Agents and Agent Services. Nice-to-Have capabilities (Not essential) : Hands-on Experience with building Agentic AI workflows that enable iterative improvement of output Hands-on experience with both Single-Agent and Multi-Agent Orchestration solutions and frameworks Hands-on experience with different Agent communication and chaining patterns Ability to leverage LLMs for Reasoning and Planning workflows, that enable higher order “goals” and automated orchestration across multiple apps and tools Ability to leverage Graph Databases and “Knowledge Graphs” as an alternate method / replacement of Vector Databases, for enabling more relevant semantic querying and outputs via LLM models. Good Background with Machine Learning solutions Good foundational understanding of Transformer Models Good foundational understanding of Diffusion Models Some Experience with custom ML model development and deployment is desirable. Proficiency in deep learning frameworks such as PyTorch, or Keras. Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent Show more Show less

Responsibilities: The Planner/buyer will Utilize ERP system, (SAP and SAP/APO) to develop near term and long-term production plans. Responsible for planning an OEM and/or Manufactured Product portfolio. Maintain forecast performance, stock levels at local and international forward stocking sites. Also, will purchase materials following business guidelines. Maintaining vendor masters and performance metrics for existing suppliers and evaluate new suppliers. Review purchase requisitions and ERP output for appropriate information and approvals. Confers with suppliers to obtain product or service information such as price, availability, and delivery schedules. Work with manufacturing to maintain parity between costing and BOM/Routing changes. Responsible for Purchase order maintenance in SAP with latest information, including reschedule update, Order confirmation and Planning changes Responsible for Service Purchase and service order Follow-up and communication to stake holders Runs and sends suppliers Open Order, Past Due Orders, Supplier Requirements and Kanban reports as required. Enters and reschedules purchase orders in the ERP system in a timely manner. Interfaces directly with internal customers (i.e. Product Managers, Customer Care, Manufacture partners and suppliers to resolve order status, discrepancies, past due items, and schedule/date changes. Resolves invoice discrepancies with suppliers and Accounts Payable. Manages Pcards for invoicing approvals. Coordinates defective and returned materials with suppliers, Quality Assurance, and others to determine root cause, initiate and follow-up on corrective actions. Coordinate office supply ordering and replenishment. Runs, compiles, and distributes reports and databases related to inventory, open Purchase Orders, and suppliers. Develop and administrate reports and databases to support multiple business functions as required. In addition to understanding of fundamental planning concepts the position requires analytical and computer skills, including the ability to analyze data and structure reports. This role requires one to support as per EST time zone. Additional Responsibilities: Maybe Responsible for licensing review or other similar functions associated with material procurement, MRP/ERP systems, and vendor requirements as necessary. Some travel may be required to vendor’s locations or other Revvity sites. Cross training into other areas as needed. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities of this job at any time. Basic Qualifications: Bachelor’s Degree from a four-year college or university desired, and one to three years related experience and or training; or equivalent education and experience. 5+ years of experience in a manufacturing environment required; life sciences environment preferred Ability to write reports, business correspondence and purchase specifications. Ability to effectively present information, and respond to inquiries from management, suppliers, and customers. Ability to calculate figures and amounts such as discounts, interest, commissions, proportions, percentages, area, circumference, and volume. Highly effective time management skills Commitment to customer excellence with demonstrated ethics and integrity. Ability to operate independently and as part of a team Working knowledge of ERP systems (SAP/Oracle) Ability to use excel, creating Pivot tables, graphs for data analysis. Ability to use Word. Ability to create presentations using PowerPoint. Access knowledge a plus Desire to win and make a meaningful contribution to a fast-growing business. Preferred Qualifications: Demonstrated analytical skills and the ability to communicate data points across a multi-level audience. Ability to communicate and collaborate with peers and colleagues, including cross-functional, global partners; actively and constructively works to resolve conflict. Experience driving continuous improvement efforts to ensure optimized efficiency. Strong project management skills using software such as MS Project or Excel. Able to communicate status updates and process improvement efforts clearly and concisely to senior leaders. Experience working in a global, matrix environment. Highly collaborative and organized, with a strong attention to detail. Comfort with ambiguity and ability to work in a self-guided manner. Show more Show less

Geospatial Data Team is responsible for data quality and maintaining best practices of data management for Climate and ESG data. Cultivating data management best practices and processes that improve the speed and accuracy of data delivery, including data access, quality control, automation, integration and helping setup online data operations. Geospatial Data Acquisition Gatekeeper for all geospatial data acquisition, ensuring compliance with best practices and drive system development and process set-up to meet “Data Factory” requirements. Data Onboarding & Integration Oversee the ingestion and integration of third-party data into MSCI systems. Collaborate with product and research teams to prioritize data acquisition efforts. Data Governance Best Practices Establish and enforce data governance standards for SLA management, new data acquisitions, source changes, and data cataloguing. Process Transformation Optimize and scale existing data operations by implementing next-generation data acquisition workflows, leveraging cloud-native solutions for improved efficiency and quality. Data Solutions for Research & Product Teams Partner with research and product teams to develop new methodologies, assess feasibility, and provide practical recommendations on data-driven initiatives. Operations Process Automation Drive automation of manual processes through hands-on tactical solutions while implementing scalable, long-term production systems. Data QA Engineering Develop and enhance quality assurance (QA) frameworks for new and existing data. Build efficient QA pipelines, multi-vendor validation systems, and data certification processes. Document findings and share insights with relevant research and product committees. Ability & willingness to understand data, especially related to finance, ESG and climate domain. Hands on experience with python programming (minimum 1 year) Do exploratory work to identify patterns in data and derive meaningful information to drive business decisions. Work with different teams to assess and organize complex data from a variety of sources for modelling/analysis using new generation techniques and technologies. Ability to handle parts of project independently or with minimum assistance. Keeping stakeholders & management updated regularly on project status and escalate blockers / issues at the earliest. Hands on Computer programming experience preferably with Python programming Ability to perform Data analysis using Python. Awareness about Data visualization techniques using graphs, charts either with Python or Reporting tools like Power BI Excellent communication skills - Written & verbal. Team player, quick learner with inquisitive mindset willing to challenge status quo and bring fresh ideas to the process of solutioning. What We Offer You Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose - to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com Show more Show less

Control Automation Visualization Analyst1 (C09) -SIS About CITI Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have 200+ years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. About AIM: Analytics and Information Management (AIM) is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast-growing organization working with Citi businesses and functions across the world. What do we do: We simplify, streamline, and automate controls—strengthening our ability to prevent issues. Control Testing Automation Team automates manual testing through data driven capabilities using industry standard tools & techniques in collaboration with Business, Internal Audit, Internal Citi Risk and Control and Technology. Through automation we identify control, testing gaps and provide the evidence to Business/Risk teams to mitigate any type of risk like Regulatory/AML/KYC/Sanctions/Anti Bribery/Sales Practice/Reputational/Fraud and Theft. Expertise Required: Analytical Skills Good in Data analysis & Data patterns. Beginner level in transforming data sets, quantitative and qualitative analysis into compelling visuals. Capable of designing and development of Charts, Graphs, and simple Dashboards for Controls Testing Automation. Provide recommendations and generate actionable Business Insights. Tools and Platforms Hands-on experience in Tableau/Power BI(Beginner) Knowledge in SQL, Teradata Proficient in MS Excel, PowerPoint Soft Skills Excellent verbal/written communication, and inter-personal skills. Ability to thrive in a dynamic and fast-paced environment. Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc. Proactive approach in solving problems and eye for details. A strong team player Basic Qualifications Master’s degree in information technology / Information Systems / Computer Applications / Engineering from a premier institute. BTech/B. E/MCA in Information Technology / Information Systems / Computer Applications. (Preferred) Postgraduate in – Masters in computers 0 - 3 years of hands-on experience in delivering Tableau/Power BI Dashboards/MIS/Data analysis solutions. ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Data/Information Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

Control Automation Analyst1 (C09) -SIS About CITI Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have 200+ years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. About AIM: Analytics and Information Management (AIM) is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast-growing organization working with Citi businesses and functions across the world. What do we do: We simplify, streamline, and automate controls—strengthening our ability to prevent issues. Control Testing Automation Team automates manual testing through data driven capabilities using industry standard tools & techniques in collaboration with Business, Internal Audit, Internal Citi Risk and Control and Technology. Through automation we identify control, testing gaps and provide the evidence to Business/Risk teams to mitigate any type of risk like Regulatory/AML/KYC/Sanctions/Anti Bribery/Sales Practice/Reputational/Fraud and Theft. Expertise Required: Analytical Skills Good in Data analysis & Data patterns. Beginner level in transforming data sets, quantitative and qualitative analysis into compelling visuals. Capable of designing and development of Charts, Graphs, and simple Dashboards for Controls Testing Automation. Provide recommendations and generate actionable Business Insights. Tools and Platforms Hands-on experience in Tableau/Power BI(Beginner) Knowledge in SQL, Teradata Proficient in MS Excel, PowerPoint Soft Skills Excellent verbal/written communication, and inter-personal skills. Ability to thrive in a dynamic and fast-paced environment. Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc. Proactive approach in solving problems and eye for details. A strong team player Basic Qualifications Master’s degree in information technology / Information Systems / Computer Applications / Engineering from a premier institute. BTech/B. E/MCA in Information Technology / Information Systems / Computer Applications. (Preferred) Postgraduate in – Masters in computers 0 - 3 years of hands-on experience in delivering Tableau/Power BI Dashboards/MIS/Data analysis solutions. ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Data/Information Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

Location(s): Quay Building 8th Floor, Bagmane Tech Park, Bengaluru, IN Line Of Business: RRS(RRS) Job Category Credit Analysis & Research Experience Level: Experienced Hire At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Strong understanding of fundamental finance and financial statements. Basic understanding of capital markets. Strong organizational skills and attention to detail. Ability to work effectively in a collaborative team environment. Proficiency in Microsoft Office, particularly intermediate Excel skills. Fluency in English with good written and verbal communication skills; good interpersonal skills. Relevant experience of up to 2 years in credit/financial data analysis and interpretation; experience in fundamental finance or accounting is an added advantage Credit Additional Skills Basic understanding of how data fits into methodologies Ability to read, understand and interpret financial metrics reported by rated entities Stakeholder Management Interact with team members, direct managers and limited other stakeholders Project Management Develop working knowledge of more than one project/deliverable with guidance Education Bachelors/Masters in Finance, Business, Accounting or similar field Responsibilities Perform data analysis to support ratings, research, and analytical outreach. Apply MIS standards to existing data to produce valuable inputs into the rating and research process, including Moody's adjusted data, key indicators, ratios, charts, and graphs. Perform data intake tasks, including scrubbing and validating data for further use in research and ratings. Review and understand financial reports, official statements, and other documents related to issuers’ performance. Liaise with analysts and accounting specialists to understand the application of accounting and other relevant concepts. Work with ratings and support analysts to understand data capture requirements, adjustments, and other information needed by the rating team. Perform simple calculations and apply judgement for other calculations of data. Gather data from various sources (sometimes unstructured), update relevant databases, escalate or resolve issues. Complete simple deliverables such as newsletters, database maintenance, more complex or high profile admin or other ad-hoc support with oversight. Take initiative to participate in projects or process improvements. About The Team Our team is responsible for providing data, analytical, and research services that contribute to the overall analysis performed by the Sustainable Finance Group. By joining our team, you will be part of exciting work in the financial services industry, fostering skills valuable for any future career in this field. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary. Show more Show less

Job Title: Data Engineer – C10/Officer (India) The Role The Data Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team. Responsibilities Developing and supporting scalable, extensible, and highly available data solutions Deliver on critical business priorities while ensuring alignment with the wider architectural vision Identify and help address potential risks in the data supply chain Follow and contribute to technical standards Design and develop analytical data models Required Qualifications & Work Experience First Class Degree in Engineering/Technology (4-year graduate course) 3 to 4 years’ experience implementing data-intensive solutions using agile methodologies Experience of relational databases and using SQL for data querying, transformation and manipulation Experience of modelling data for analytical consumers Ability to automate and streamline the build, test and deployment of data pipelines Experience in cloud native technologies and patterns A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training Excellent communication and problem-solving skills T echnical Skills (Must Have) ETL: Hands on experience of building data pipelines. Proficiency in at least one of the data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica Big Data: Exposure to ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing Data Warehousing & Database Management: Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design Data Modeling & Design: Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures Languages: Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala DevOps: Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management Technical Skills (Valuable) Ab Initio: Experience developing Co>Op graphs; ability to tune for performance. Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, Express>IT, Data Profiler and Conduct>IT, Control>Center, Continuous>Flows Cloud: Good exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs Data Quality & Controls: Exposure to data validation, cleansing, enrichment and data controls Containerization: Fair understanding of containerization platforms like Docker, Kubernetes File Formats: Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta Others: Basics of Job scheduler like Autosys. Basics of Entitlement management Certification on any of the above topics would be an advantage. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Digital Software Engineering ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

The Data Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team. Responsibilities Developing and supporting scalable, extensible, and highly available data solutions Deliver on critical business priorities while ensuring alignment with the wider architectural vision Identify and help address potential risks in the data supply chain Follow and contribute to technical standards Design and develop analytical data models Required Qualifications & Work Experience First Class Degree in Engineering/Technology (4-year graduate course) 3 to 4 years’ experience implementing data-intensive solutions using agile methodologies Experience of relational databases and using SQL for data querying, transformation and manipulation Experience of modelling data for analytical consumers Ability to automate and streamline the build, test and deployment of data pipelines Experience in cloud native technologies and patterns A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training Excellent communication and problem-solving skills T echnical Skills (Must Have) ETL: Hands on experience of building data pipelines. Proficiency in at least one of the data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica Big Data: Exposure to ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing Data Warehousing & Database Management: Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design Data Modeling & Design: Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures Languages: Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala DevOps: Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management Technical Skills (Valuable) Ab Initio: Experience developing Co>Op graphs; ability to tune for performance. Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, Express>IT, Data Profiler and Conduct>IT, Control>Center, Continuous>Flows Cloud: Good exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs Data Quality & Controls: Exposure to data validation, cleansing, enrichment and data controls Containerization: Fair understanding of containerization platforms like Docker, Kubernetes File Formats: Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta Others: Basics of Job scheduler like Autosys. Basics of Entitlement management Certification on any of the above topics would be an advantage. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Digital Software Engineering ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

🔍 We're Hiring: Academic Content Reviewers (Grades K–12 | AP & Core Subjects) 📍 Remote | Freelance | Part-time | 5–6 Month Project Join us in shaping the future of K–12 education! We are seeking experienced Academic Experts in Math, AP Biology, AP Physics, and AP Computer Science to work as Content Reviewers on an upcoming project with a US-based charter school. This role involves conducting a comprehensive review of instructional content, assessments, and supporting materials across K–12 grade bands, with a strong focus on AP-level rigor and curriculum alignment . 🧑‍🏫 Role: Content Reviewer (Accuracy Checker) You will: Review, edit, and verify academic content, assessments, and code (where applicable) Ensure quality, factual accuracy, and alignment with educational standards Solve assessment questions and validate correctness of answer keys Identify content gaps, readability issues, and suggest enhancements Validate code functionality (Java – for Computer Science content) Review linked content like graphs, maps, reference sheets, and ensure proper tagging Collaborate with curriculum leads, editors, and the client team for iterative reviews 📘 Who We’re Looking For: Subject matter experts in: ✅ Math (Pre-calculus, Calculus) ✅ AP Biology ✅ AP Physics ✅ AP Computer Science (Java proficiency required) 10+ years of content development experience 5+ years of classroom teaching experience preferred Experience with US K–12 curriculum standards (Common Core, NGSS, College Board frameworks) Strong attention to detail and problem-solving abilities Excellent English communication and feedback writing skills Proficiency with Google Workspace, MS Office, and collaboration tools 🕒 Time Commitment: Estimated 20–30 hours/week for a period of 5–6 months Weekly workload may vary depending on project phase 📌 Evaluation Process: 1–2 rounds of interviews with our US-based Learning Design team Followed by a test assignment Selected candidates must provide a formal background verification declaration (on company letterhead if through an agency) 📝 Interested? Email, DM us, or send your profile detailing your subject expertise, K–12 review experience, availability, and rates. We'd love to hear from: Independent reviewers Academic freelancers Educational agencies with available expert bandwidth Show more Show less

Location(s): Quay Building 8th Floor, Bagmane Tech Park, Bengaluru, IN Line Of Business: RRS(RRS) Job Category: Credit Analysis & Research Experience Level: Experienced Hire At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Strong understanding of fundamental finance and financial statements. Basic understanding of capital markets. Strong organizational skills and attention to detail. Ability to work effectively in a collaborative team environment. Proficiency in Microsoft Office, particularly intermediate Excel skills. Fluency in English with good written and verbal communication skills; good interpersonal skills. Relevant experience of up to 2 years in credit/financial data analysis and interpretation; experience in fundamental finance or accounting is an added advantage Additional Skills Credit: Basic understanding of how data fits into methodologies Ability to read, understand and interpret financial metrics reported by rated entities Stakeholder Management: Interact with team members, direct managers and limited other stakeholders Project Management: Develop working knowledge of more than one project/deliverable with guidance Education Bachelors/Masters in Finance, Business, Accounting or similar field Responsibilities Perform data analysis to support ratings, research, and analytical outreach. Apply MIS standards to existing data to produce valuable inputs into the rating and research process, including Moody's adjusted data, key indicators, ratios, charts, and graphs. Perform data intake tasks, including scrubbing and validating data for further use in research and ratings. Review and understand financial reports, official statements, and other documents related to issuers’ performance. Liaise with analysts and accounting specialists to understand the application of accounting and other relevant concepts. Work with ratings and support analysts to understand data capture requirements, adjustments, and other information needed by the rating team. Perform simple calculations and apply judgement for other calculations of data. Gather data from various sources (sometimes unstructured), update relevant databases, escalate or resolve issues. Complete simple deliverables such as newsletters, database maintenance, more complex or high profile admin or other ad-hoc support with oversight. Take initiative to participate in projects or process improvements. About The Team Our team is responsible for providing data, analytical, and research services that contribute to the overall analysis performed by the Sustainable Finance Group. By joining our team, you will be part of exciting work in the financial services industry, fostering skills valuable for any future career in this field. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary. Show more Show less