2052 Reinforcement Jobs - Page 11

Unlock yourself. Take your career to the next level. At Atrium, we live and deliver at the intersection of industry strategy, intelligent platforms, and data science — empowering our customers to maximize the power of their data to solve their most complex challenges. We have a unique understanding of the role data plays in the world today and serve as market leaders in intelligent solutions. Our data-driven, industry-specific approach to business transformation for our customers places us uniquely in the market. Who are you? You are smart, collaborative and take ownership to get things done. You love to learn and are intellectually curious in business and technology tools, platforms and languages. You are energized by solving complex problems and bored when you don’t have something to do. You love working in teams, and are passionate about pulling your weight to make sure the team succeeds. What will you be doing at Atrium? We are seeking a highly skilled AI QA Consultant to ensure the quality, functionality, and performance of our AI solutions. This role is responsible for testing across the Salesforce platform with a specialised focus on validating AI-powered features, agentic workflows, and integrations with Large Language Models (LLMs). This position bridges traditional Salesforce QA with modern AI testing principles, requiring a deep understanding of Salesforce best practices, a keen eye for detail, and the technical acumen to test complex, non-deterministic systems. You will work closely with AI developers, Salesforce administrators, and business stakeholders to deliver robust and reliable AI-driven user experiences. The QA Consultant Will Conduct thorough manual and exploratory testing of AI features on the Salesforce platform. You will identify, document, and track defects in Jira, clearly distinguishing between standard configuration bugs and nuanced, probabilistic issues inherent in AI model outputs Take ownership of data quality for the entire AI fine-tuning lifecycle. You will be responsible for validating and helping prepare the high-quality, unbiased datasets that are essential for building reliable and effective enterprise AI Develop detailed test plans, test cases, and test scripts specifically designed to evaluate the accuracy, relevance, safety, and performance of LLM responses and AI-driven logic Collaborate with product owners and AI developers to understand requirements and design comprehensive test strategies for Salesforce solutions that incorporate AI components like intelligent chatbots, RAG-based knowledge retrieval, automated case summarization, and agentic process automation Create scenarios to test for prompt injection vulnerabilities, model hallucinations, data grounding issues, and bias in AI outputs Assess the performance, latency, and resource consumption of AI features to ensure they meet user experience benchmarks Facilitate User Acceptance Testing (UAT) for AI-powered features. Guides business users on how to evaluate and provide feedback on intelligent systems Stay updated with the latest advancements in LLMs, prompt engineering techniques, and AI testing methodologies, and champion the adoption of best practices In This Role, You Will Have Strong foundation with 2-3 years of dedicated QA experience on the Salesforce platform. It is crucial for validating how AI features interact with core Salesforce objects, data models, and business workflows A solid understanding of modern AI/NLP concepts, including Retrieval-Augmented Generation (RAG), model fine-tuning, and the principles of creating feedback loops for reinforcement learning (e.g., RLHF) Proficiency in Python, used for writing test scripts, data manipulation, and interacting with AI APIs Hands-on experience testing applications built with LLM APIs (like OpenAI, Gemini), frameworks such as LangChain/LlamaIndex, and various Vector Databases Working knowledge of SQL, NoSQL, and vector databases Excellent analytical and communication skills, with experience thriving in an Agile/Scrum environment Next Steps Our recruitment process is highly personalized. Some candidates complete the hiring process in one week, others may take longer as it’s important we find the right position for you. It's all about timing and can be a journey as we continue to learn about one another. We want to get to know you and encourage you to be selective - after all, deciding to join a company is a big decision! At Atrium, we believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. We are an equal opportunity employer and all qualified applicants will receive consideration for employment.

Job Title: Change Management Specialist / Change Manager Experience Required: 6+ Years Location: Pan India Job Summary: We are seeking an experienced Change Management Specialist to lead and support organization-wide change initiatives, particularly those related to digital transformation, technology implementation, and business process improvement. The ideal candidate will possess a strong background in applying structured change management methodologies to drive adoption and minimize resistance across diverse stakeholder groups. Experience with Adobe Experience Cloud or similar enterprise platforms is highly desirable. Key Responsibilities: Develop and implement change management strategies and plans that maximize employee adoption and minimize resistance. Conduct change impact assessments, identify key stakeholders, and build appropriate engagement and communication strategies. Collaborate with project managers, business leaders, and HR teams to integrate change activities into overall project plans. Design and deliver communication plans, training strategies, and resistance management techniques tailored to different audiences. Create and maintain stakeholder engagement plans to ensure strong leadership support and end-user buy-in. Track and measure change readiness and adoption metrics, including KPIs such as utilization, proficiency, and feedback. Build and manage training materials, workshops, and end-user documentation to support smooth transitions. Support and coach project sponsors, department heads, and team leaders in their change leadership roles. Apply Prosci ADKAR model or similar methodologies to ensure consistent and structured approaches to change. Facilitate continuous feedback mechanisms and change reinforcement programs post-implementation. Manage and maintain change management documentation, including plans, risk logs, and progress dashboards. Collaborate with technical teams on change initiatives involving Adobe Experience Cloud , ensuring user-centric adoption. Required Skills & Qualifications: Minimum 6 years of experience in managing change within complex, cross-functional environments. Strong understanding of Change Management frameworks such as Prosci, Kotter’s 8-Step Process, or ADKAR . Experience with digital transformation projects, ERP/SAP implementation, Adobe Experience Cloud , or cloud migration initiatives. Demonstrated ability to work with senior stakeholders, C-level leaders, and cross-functional teams. Excellent communication, facilitation, and presentation skills. Proficient in Microsoft Office tools, Project Management tools, and collaboration platforms like SharePoint or Confluence. Experience with Agile, Scrum, or Hybrid project environments. Ability to manage multiple change initiatives simultaneously with minimal supervision. Preferred Qualifications: Prosci Change Management Certification or equivalent. Experience working in sectors such as IT Services, BFSI, Healthcare, Telecom, or Manufacturing . Familiarity with organizational design, talent management, or culture transformation is a plus. Working knowledge of tools like JIRA, ServiceNow, SuccessFactors , or Adobe Workfront is an added advantage. Why Join Us: Opportunity to lead large-scale transformations across industries. Collaborative and inclusive work culture. Exposure to diverse projects with global clients.

Set-up and layout jobs using blueprints, diagrams and fixtures following welding procedures to TIG weld in all positions including the use of rotary turntables for manual welding. Inspects, maintains and logs preventative maintenance on equipment needed for welding and fabricating. Sets up machines according to work instructions to trim, size, form, inspect, and GTAW (TIG weld) material to meet fabrication drawing requirements.  Drawing review and compliance for final dimensions, weld note callouts, base material and filler material selection. Solvent cleaning, trimming, sizing and polishing to prepare weld joints for welding  Tack welding, fabrication of shop aids and fixtures to assist fabrication and welding  Videoscope inspection for root side weld defects. Visual weld inspection using fillet weld gauges, calipers, micrometers, height gauges and final weld fixtures.  Weld inspection for weld size, face and root reinforcement, cracks, inclusions and porosity. Job Type: Full-time Pay: From ₹25,000.00 per month Benefits: Food provided Leave encashment Provident Fund Ability to commute/relocate: Irungattukottai, Irungattukottai - 602117, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Experience: total work: 4 years (Preferred)

Job title: AI/ML Data Scientist Location: Hyderabad About The Job Transform healthcare through innovation. At Sanofi, we're not just developing treatments—we're pioneering the future of healthcare by harnessing the power of data insights and responsible AI to accelerate breakthrough therapies. As an AI/ML Scientist on our AI and Computational Sciences team, you'll: Drive innovation that directly impacts patient outcomes Collaborate with world-class scientists to solve complex healthcare challenges Apply advanced AI techniques to increase drug development success rates Shape the responsible use of AI in life-saving medical research Be part of a mission that matters. Help us transform data into life-changing treatments and join a team where your expertise can make a meaningful difference in patients' lives. Our Team The AI and Computational Sciences team is a key team within R&D Digital, focused on image, omics, wearable sensor data, and clinical data analytics. This team plays a critical role in bridging the gap between general purposed digital products and specific project needs. We are looking for a skilled AI/ML Data Scientist to join our elite AI and Computational Sciences team and harness cutting-edge AI to revolutionize healthcare. As a key player within R&D Digital, you'll transform complex data into life-changing medical breakthroughs. Impact You'll Make Drive Innovation Across Multiple High-impact Domains Precision Medicine: Develop patient response prediction models that personalize treatments Advanced Omics Analysis: Pioneer cell type and cell stage quantification techniques Advanced Image/Video Analysis: Lead application of state-of-art computer vision methods for gaining unprecedented insights about drug efficacy from medical images/videos Digital Health: Design novel biomarkers from wearable sensor data Biological Insights: Create enzyme property prediction algorithms and conduct disease pathway analyses Your Growth Journey Technical Mastery: Develop expertise across image analysis, time series modeling, GenAI, AI Agents, and explainable AI Scientific Impact: Publish in top-tier AI/ML journals and secure patents that protect groundbreaking innovations Global Influence: Deploy solutions that impact patients worldwide Your Environment Elite Team: Work alongside AI/ML experts and drug development experts in an agile, high-performance environment Cutting-Edge Resources: Access Sanofi's state-of-the-art cloud infrastructure and data platforms Continuous Learning: Receive mentorship and training opportunities to sharpen your leadership and AI/ML skills Join Our AI-First Vision Be part of Sanofi's bold transformation into an AI-first organization where you'll: Develop your skills through world-class mentorship and training Chase the miracles of science to improve people's lives Ready to transform healthcare through the power of AI? Main Responsibilities Research Phase Excellence Design and implement AI models for target identification and validation using multi-omics data (genomics, proteomics, transcriptomics) Develop predictive algorithms to molecular design for compound selection and accelerate lead optimization Create computer vision systems for high-throughput screening image analysis and cellular phenotyping Clinical Development Innovation Engineer digital biomarkers from wearable sensors and mobile devices to enable objective, continuous patient monitoring Implement advanced time-series analysis of real-time patient data to detect early efficacy signals Design AI-powered patient stratification models to identify responder populations and optimize trial design Multi-Modal Data Integration Architect systems that harmonize diverse data types (imaging, omics, clinical, text, sensor) into unified analytical frameworks Develop novel feature extraction techniques across modalities to enhance predictive power Create visualization tools that present complex multi-modal insights to clinical teams Scientific Impact Collaborate with cross-functional teams to translate AI insights into actionable drug development strategies Present findings to scientific and business stakeholders with varying technical backgrounds Publish innovative methodologies in top-tier scientific and AI/ML journals Contribute to patent applications to protect novel AI/ML approaches About You Experience : 3 to 5 years of experience in AI/ML and computational model development on multimodal data like omics, biomedical imaging, text and clinical trials data Key Functional Requirement Demonstrated track record of successful AI/ML project implementation 3-5 years of experience in computational modeling or AI/ML algorithm development, or any other related field Deep understanding and proven track record of developing model training pipelines and workflows Excellent communication and collaboration skills Working knowledge and comfort working with Agile methodologies Technical Skills Programming Proficiency: Advanced Python skills with experience in ML frameworks (PyTorch, TensorFlow, JAX) Machine Learning: Deep expertise in supervised, unsupervised, and reinforcement learning algorithms Drug discovery: molecular design, docking, binding site prediction, mRNA vaccine design, ADMET property, protein structure prediction, molecular dynamics simulation Deep Learning: Experience designing and implementing neural network architectures (CNNs, RNNs, Transformers) Computer Vision: Proficiency in image processing, segmentation, and object detection techniques (SAM, ViT, Diffusion Models, MediaPipe, MMPose, MonoDepth, VoxelNet, SlowFast, C3D) Natural Language Processing: Experience with large language models, text mining, and information extraction (OpenAI, Claude, Llama, Qwen, Deepseek model series) Time Series Analysis: Expertise in analyzing temporal data from sensors and wearable devices (HAR foundation models, compliance detection models) Omics Analysis: Knowledge of computational methods for protein genomics, proteomics, or transcriptomics data Cloud Computing: Experience deploying ML models on cloud platforms (AWS) Tools And Technologies Data Processing: Experience with data pipelines and ETL processes Version Control: Proficiency with Git and collaborative development workflows, Docker MLOps: Experience with model deployment, monitoring, and maintenance Visualization: Ability to create compelling data visualizations (Matplotlib, Seaborn, Plotly) Experiment Tracking: Familiarity with tools like MLflow, Weights & Biases, or similar platforms Soft Skills Strong scientific communication abilities for technical and non-technical audiences Collaborative mindset for cross-functional team environments Problem-solving approach with ability to translate business needs into technical solutions Self-motivated with capacity to work independently and drive projects forward Education : PhD/MS/BE/BTech/ME/MTech in Computer Science and Engineering, AI/ML, other relevant engineering discipline, Computational Biology, Data Science, Bioinformatics or related fields (with equivalent experience) Preferred : Publications or public github Languages : English Why Choose us? Bring the miracles of science to life alongside a supportive, future-focused team Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas. Pursue Progress . Discover Extraordinary . Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! null Pursue Progress . Discover Extraordinary . Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

At Wyzard, we are on a mission to revolutionize AI applications in real-world scenarios. We're looking for a Lead AI Engineer to drive the research, development, and deployment of advanced AI systems. 🔹 What You’ll Do: ✅ Lead AI-driven solutions with LLMs (GPT, LLaMA, Claude, Grok, DeepSeek, etc.) & AI agents ✅ Architect & deploy scalable AI models for NLP, Conversational AI, and decision-making ✅ Develop autonomous AI agents that interact with users and datasets ✅ Collaborate with cross-functional teams to define AI use cases & performance metrics ✅ Experiment with the latest AI advancements and optimize LLM performance ✅ Design and implement efficient RAG models that enhance AI-generated responses with retrieved context. ✅ Work with vector databases & vector graph (e.g., MemoryDB, Pinecone, Neo4j) to improve document retrieval accuracy and efficiency. ✅ Mentor & guide junior engineers while promoting AI ethics & responsible development. 🔹 What We’re Looking For: ✔️ 2+ years in AI/ML engineering. ✔️ Hands-on experience with LLMs, AI agents, & NLP ✔️ Experience with vector databases (MemoryDB, Pinecone, ChromaDB, Neo4jetc.). ✔️ Strong expertise in Machine Learning, Neural Networks & Reinforcement Learning ✔️ Proficiency in TensorFlow, PyTorch & cloud technologies (AWS, GCP, Azure) ✔️ Experience with distributed systems, containerization (Docker, Kubernetes), & fine-tuning models

Company Description EURASIAN INFRA is a rapidly growing EPC company in India, specializing in technology-driven engineering and construction solutions. We excel in urban and industrial infrastructure projects with a strong track record of excellence and innovation. Our expertise includes clean energy solutions, supporting the nation's Net Zero goals, and providing turnkey solutions for sectors such as roads, bridges, rail, commercial buildings, airports, power generation, and water management. Our dynamic team of professionals works cohesively to deliver precise and efficient projects, making us a trusted partner for world-class projects across diverse industries. Role Description This is a full-time on-site role for a Diaphragm Wall Engineer, located in Kathmandu. The Diaphragm Wall Engineer will be responsible for designing, planning, and overseeing the construction of diaphragm walls. Daily tasks include supervising and coordinating with the construction team, ensuring compliance with engineering standards, performing site inspections, and providing technical support and solutions as needed. Qualifications Experience 3/4 years of experience (From India) in diaphragm wall construction, including experience with deep excavations, reinforcement, and concreting Proficient in using design software such as AutoCAD, STAAD Pro, and other related tools Engineering Degree: A Bachelor's degree in civil or geotechnical engineering is typically required. Technical Skills: Proficiency in relevant engineering software, knowledge of construction methods, and understanding of soil mechanics. Problem-Solving: Ability to identify and resolve technical issues and challenges during the construction process. Communication Skills: Effective communication and collaboration skills to work with various stakeholders. Candidate: Prefer Indian Candidate who can relocate to kathmandu Nepal. Typical Projects: Deep basements for buildings, Underground railway stations and tunnels, Cut-off walls for dams and other water-retaining structures, and Retaining walls for deep excavations. Core Responsibilities: Design Review and Optimization: Reviewing and optimizing the diaphragm wall design, considering site conditions, soil properties, and project requirements. Construction Planning and Coordination: Planning the construction process, including excavation, reinforcement installation, and concreting, ensuring it aligns with the project schedule and budget. Quality Control: Ensuring that the construction process adheres to quality standards and specifications, including material testing, dimensional control, and workmanship. Technical Support: Providing technical expertise and guidance to the construction team, addressing any challenges or issues that arise during the construction process. Documentation and Reporting: Preparing method statements, reports, and other necessary documentation related to the D-wall construction. Collaboration and Communication: Collaborating with other engineers, contractors, and stakeholders to ensure smooth project execution.

About Toyota Connected If you want to change the way the world works, transform the automotive industry and positively impact others on a global scale, then Toyota Connected is the right place for you! Within our collaborative, fast-paced environment we focus on continual improvement and work in a highly iterative way to deliver exceptional value in the form of connected products and services that wow and delight our customers and the world around us. About the Team Toyota Connected India is looking for an experienced Data Scientist to develop models for predicting traffic behaviour scenarios using data from simulations and real-world sources. You’ll work on reinforcement learning, complex event detection, and probabilistic forecasting for real-time decision-making in autonomous systems and smart infrastructure What you will do · Design predictive models for trajectory forecasting , traffic participant’s behaviour , and crossing probabilities . · Develop risk scoring mechanisms using time-shifted risk prediction and sliding time windows . · Implement multi-agent reinforcement learning (MARL) frameworks to simulate and train cooperative behaviours. · Work with simulation teams to integrate ground truth scenarios and replayable datasets. · Build scoring algorithms for different data dimensions based on the severity and impact . · Evaluate model performance using precision, recall , and event-level accuracy . · Collaborate with data engineers to define feature pipelines and streaming inputs. You are a successful candidate if you have · 3+ years of experience in applied data science, preferably in real-time or simulation-based environments. · Strong proficiency in Python, NumPy, Pandas, and deep learning frameworks like PyTorch or TensorFlow. · Experience with time-series analysis , Bayesian models , or probabilistic forecasting . · Understanding of reinforcement learning , especially multi-agent settings . · Knowledge of vehicle kinematics , trajectory forecasting , or intelligent transportation systems . Preferred Qualifications: · Experience with simulation environments like CARLA , SUMO or VISSIM simulation data. · Prior work on ADAS , or smart city risk management . · Familiarity with CEP engines or event stream analytics tools. · Understanding of data fusion from camera, LiDAR and other infrastructure inputs. What is in it for you? · Top of the line compensation! · You'll be treated like the professional we know you are and left to manage your own time and workload. · Yearly gym membership reimbursement & Free catered lunches. · No dress code! We trust you are responsible enough to choose what’sappropriate to wear for the day. · Opportunity to build products that improves the safety and convenience of millions of customers · Cool office space and other awesome benefits! Our Core Values: EPIC Empathetic : We begin making decisions by looking at the world from the perspective of our customers, teammates, and partners. Passionate: We are here to build something great, not just for the money. We are always looking to improve the experience of our millions of customers Innovative : We experiment with ideas to get to the best solution. Any constraint is a challenge, and we love looking for creative ways to solve them. Collaborative: When it comes to people, we think the whole is greater than its parts and that everyone has a role to play in the success! To know more about us ,check out our glassdoor page https://www.glassdoor.co.in/Reviews/TOYOTA-Connected-Corporation-Reviews-E3305334.htm

About Company: Our client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. They helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Powering this growth is our clients talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications. Job Title: Python Developer Work Mode: Remote Experience: 5+ yrs Job Type : Contract to hire Notice Period:- Immediate joiners Job Description: Requirements : 5+ years of experience as a backend or full-stack engineer with a strong backend focus Advanced proficiency in Python Practical experience integrating LLMs (e.g., RAG pipelines, agent frameworks, LangChain, LangGraph, or similar) Background in machine learning engineering is a strong plus Solid understanding of service architecture and production deployment workflows

Role: Data Scientist Experience: 4-8 Years Working Days: 5 Days Work Mode: Hybrid (One week work from office in a month) Location: Bangalore/ Chennai Notice Period – Immediate or 15 days maximum You are a successful resource for this role, if you have- · 3+ years of experience in applied data science , preferably in real-time or simulation-based environments. · Strong proficiency in Python , NumPy, Pandas , and deep learning frameworks like PyTorch or TensorFlow. · Experience with time-series analysis , Bayesian models, or probabilistic forecasting. · Understanding of reinforcement learning , especially multi-agent settings. · Knowledge of vehicle kinematics, trajectory forecasting, or intelligent transportation systems.

Responsibilities: Design, develop, and fine-tune transformer-based architectures (e.g., BERT, GPT, LLaMA, T5) for various NLP tasks. Implement reinforcement learning (RL) algorithms such as PPO, A3C, or DQN for optimizing large-scale models. Conduct experiments for model fine-tuning and evaluation , ensuring optimal performance on real-world data. Work on prompt engineering, instruction tuning, and alignment of LLMs using techniques like RLHF. Collaborate with cross-functional teams (product, data science, and engineering) to deliver scalable ML solutions. Research and stay up-to-date with state-of-the-art techniques in transformers, generative AI, and RL. Optimize models for efficiency and deployment , leveraging quantization, pruning, or distillation. Requirements: 3+ years of hands-on experience in machine learning, with a focus on NLP and reinforcement learning. Strong expertise in transformer architectures and libraries such as Hugging Face Transformers, PyTorch, or TensorFlow . Proven experience in fine-tuning large language models (LLMs) and optimizing training pipelines. In-depth understanding of reinforcement learning algorithms and real-world RL applications. Experience with distributed training and large-scale data pipelines. Proficiency in Python and ML frameworks like PyTorch, TensorFlow, or JAX . Strong knowledge of cloud platforms (AWS, GCP, Azure) and ML Ops practices. Advanced degree (Master’s/PhD) in Computer Science, AI, Machine Learning, or a related field.

Role: SAVP -Digital CX Technical Lead – Gen AI Experience:10+years in Data Science Location: NCR/Bangalore Work Mode: Hybrid Shift Timing: 1:30 pm – 11:30pm Technical Skills Strong technical background with a solid understanding of conversational AI technologies, machine learning, natural language processing, and software development methodologies. Proven experience in delivering Google CCAI, Dialogflow, Vertex.AI solutions. Strong background in Natural Language Processing (NLP), deep learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG). Experience with deep learning frameworks like PyTorch or TensorFlow. Experience with cloud platforms (AWS, Azure, GCP) for deploying AI models. Strong understanding of neural networks, transformers, and reinforcement learning. Familiarity with software development best practices, version control (e.g., Git), and agile methodologies. Experience with CI/CD pipelines and DevOps practices. Excellent software development skills to drive the development and deployment of cutting-edge AI solutions Leadership Skills Demonstrated leadership and team management skills, with the ability to inspire, guide, and develop a diverse team of professionals. Excellent client-facing skills, including effective communication, relationship-building, and negotiation abilities. Excellent problem-solving skills and the ability to think critically and creatively. Strong communication skills and the ability to work effectively in a team environment. Leadership qualities with a proactive and collaborative approach. BE/BTech/MCA/Ph.D. from tier I/II institute in CS or related field

Deadline for sending application: 12/08/2025 at 12.00 noon (CET). WE ARE The European External Action Service (EEAS) supports the High Representative in the exercise of her mandate to conduct and implement an effective and coherent Union’s Common Foreign and Security Policy (CFSP), to represent the EU and to chair the Foreign Affairs Council. It also supports the High Representative in her capacity as Vice-President of the Commission with regard to her responsibilities within the Commission in the external relations field, including the coordination of other aspects of the EU's external action. The EEAS works in close cooperation with the EU Member States, the General Secretariat of the Council, the services of the Commission and the Secretariat General of the European Parliament. The division "RM.BHR.5 - Local Agents” mission is to formulate a comprehensive human resource policy for over 3200 local agents employed in the EU Delegations and to help the delegations implement it. We develop rules, policies and guidelines pertaining to HR policy, employment conditions, health insurance, pension and emoluments of local staff employed in Union Delegations and we ensure their conformity with the respective local laws of host states (outside the EU). We support the Heads of Delegation and the Heads of Administration in the daily management of local staff and in handling legal disputes that may arise in this context. The Division is currently composed of 20 members of staff dealing with policy and issues of employment conditions (e.g. recruitment, employment conditions, performance management, salaries, contract terminations); social security for local agents (including EU complementary medical cover and pension benefits); as well as emoluments (remuneration and benefits). WE PROPOSE The position of Human Resources Management Assistant -contract agent FGIII as per article 3b of the Conditions of Employment of Other Servants of the European Union (hereafter, the “CEOS”)[1]. The position as Human Resources Management Assistant is both interesting and rewarding. The successful candidate will be part of a friendly and dynamic team working to assist Delegations and develop policy in all aspects of local agent administration and management of social security matters. You will have contacts with EU Delegations, our legal team, and other HR departments in the EEAS and the European Commission. Depending on your interests and experience, you will contribute to the development of HR policies for local agents as well as IT systems. The intensity of the job varies due to e.g. political events or a crisis in a country. The job is good preparation for a future posting to a Delegation. Required You will be responsible for the daily follow-up of around 12 Delegations and will act as back-up for another colleague in the team, and assist with other absences when required. The related tasks will include the following: Contribute to the development of policies related to the management of local agents and liaise as appropriate with other Divisions and services within the EEAS or the Commission. Provide advice to, perform ex-ante controls for, and draft correspondence to Delegations on the implementation of the relevant rules (e.g. recruitment, step calculation, salary reviews, salary advances, unpaid leave, special leave, contract amendments, end of contract entitlements). Gathering the relevant facts for, and helping ensure follow-up by your Delegations on, disciplinary, incompetence, or other legal cases involving local agents that are led by the Division’s hierarchy or the legal advisers; Checking budget forecasts and verifying requests for budget reinforcement from assigned Delegations related to local staff employment; Approving and encoding data related to local agents in the relevant IT databases (e.g. e-del-HRM, HR-Delegation and HR HUB). PLACE and DATE OF EMPLOYMENT ‎EEAS Headquarters, Brussels, Belgium Post available: 1/09/2025 LEGAL BASIS The vacancy is to be filled in accordance with the conditions stipulated under the CEOS, in particular Article 82 thereof. In case of recruitment, the successful candidate will be offered a contract agent position (Function group III), on the basis of a contract with an initial duration of one year that may be successively renewed up to a maximum duration of six years[2], subject to the maximum duration of engagement by the EEAS allowed under successive limited duration contracts of different types[3]. WE LOOK FOR A curious, collaborative colleague with good drafting, organisational, and interpersonal skills, who is enthusiastic about providing a high standard of service. Prior experience in human resources management would be an asset, but a genuine interest in this field is a must! Eligibility criteria [4] Further to the conditions set out in Article 82 of the CEOS, candidates must: have passed a valid EPSO CAST in a valid function group for this post, or be registered in the EPSO Permanent CAST in a valid function group for this post (https://epso.europa.eu/en/job-opportunities/open-for-application). In the latter case, while the registration will make the candidate eligible for the selection procedure, the recruitment of a candidate on this vacant post will be subject to his/her successfully passing the CAST exam; have a level of post-secondary education attested by a diploma or a level of secondary education attested by a diploma giving access to post-secondary education and appropriate professional experience of three years; have the capacity to work in the languages of the CFSP and external relations (English and French) necessary for the performance of their duties; be a national of one of the Member States of the European Union and enjoy full rights as a citizen. Selection criteria Candidates Should have the ability to maintain diplomatic relations and to ensure representation and communication in a complex, multicultural environment; have the capacity to create constructive working relations in the field of external relations with national authorities, international organisations and EU Member States; have strong drafting and analytical skills combined with sound judgement; have knowledge of external relations, internal policies and functioning of the Union; have excellent communication skills and the ability to establish and maintain a network of contacts both within and outside the EEAS; have the ability to communicate clearly on complex issues and the capacity to perform with accuracy and in a flexible manner a diversity of tasks in a complex institutional environment; Have good numerical skills and some practical experience with IT tools, e.g. Excel; A strong capacity for work, with proven qualities of rigour, adaptability, responsiveness, resilience, and resistance to stress; Ability to meet tight deadlines while delivering constant quality work; Have strong service attitude; Be a flexible team player. Furthermore experience of working in a team in multi-disciplinary and multi-cultural environment; experience in working with or within other EU institutions; Knowledge and/or proven experience in human resources management or policy; Experience working in an EU Delegation or EU Member State Embassy; Experience with handling legal issues. will be considered as strong assets. CONDITIONS OF RECRUITMENT AND EMPLOYMENT CONFLICT OF INTEREST AND SECURITY RISKS As a matter of policy, applications by individuals who have dual nationality of which one of a non-EU country, will be considered on a case-by-case basis taking account in particular of the functions attributed to the vacant post. The EEAS also examines if there could be a conflict of interest or security risks. In this context, candidates shall fill in with their application a declaration of potential conflict of interest (see attached) MEDICAL CLEARANCE The signature of the contract will be subject to prior favourable opinion of the Medical Service. PERSONNEL SECURITY CLEARANCE (PSC) This post is currently not identified as a post which requires Personnel Security Clearance (hereafter, the “PSC”) to access EU classified information (EUCI) in accordance with point 7 of Annex A I of the Decision ADMIN(2023) 18 on the security rules of the EEAS[5] and as implemented by Decision ADMIN(2019) 7 on Security Clearance Requirements and Procedures for the EEAS of 08 March 2019 and its implementing decisions. Nonetheless, candidates are informed that the list of posts requiring a PSC in the EEAS Headquarters is subject to regular review and that the current post might be identified in the future as a post which requires PSC. If required after the taking of duty, the selected candidate will need to be in a position to obtain a valid PSC issued by the competent authority of their Member State in accordance with national laws and regulations. In case of failure to obtain or renew the required PSC, the AACC may take the appropriate measures in accordance with Article 3(3) of the Decision ADMIN(2019) 7 on Security Clearance Requirements and Procedures for the EEAS of 08 March 2019. Description of the EU classified information levels is available under Article 2 of Annex A of the Decision ADMIN(2023) 18 on the security rules of the EEAS. EQUAL OPPORTUNITIES The EEAS is committed to an equal opportunities policy for all its employees and applicants for employment. As an employer, the EEAS is committed to promoting gender equality and to preventing discrimination on any grounds. It actively welcomes applications from all qualified candidates from diverse backgrounds and from the broadest possible geographical basis amongst the EU Member States. We aim at a service, which is truly representative of society, where each staff member feels respected, is able to give their best and can develop their full potential. Candidates with disabilities are invited to contact CONTRACTAGENTS-HQ@eeas.europa.eu in order to accommodate any special needs and provide assistance to ensure the possibility to pass the selection procedure in equality of opportunities with other candidates. If a candidate with a disability is selected for a vacant post, the EEAS is committed to providing reasonable accommodation in accordance with Art 1(d)(4) of the Staff Regulations. APPLICATION AND SELECTION PROCEDURE [6] Please send your CV and cover letter (with your EPSO CAST number), in English or French, and the attached declaration of potential conflict of interest via email, with reference to the Vacancy Number in the Subject field, to: LOCAL-AGENTS@eeas.europa.eu Deadline for sending application: 12/08/2025 at 12.00 noon (CET) . Candidates shall draft their CV using the Europass CV, which can be found at the following internet address: http://europass.cedefop.europa.eu/en/documents/curriculum-vitae. Late applications will not be accepted . The selection panel will make a pre-selection on the basis of the qualifications and professional experience described in the CV and motivational letter, and will produce a shortlist of eligible candidates who best meet the selection criteria for the post. Please note that only shortlisted candidates will be informed about the outcome of the pre-selection phase. The candidates who have been preselected will be invited for an interview by a selection panel. The selection panel may decide, subsequent to the interview, to organise written tests, either for all pre-selected candidates or to the best ranked ones. The content of such written tests will be defined by the selection panel and may include, but not be limited to, multiple choice questions, open questions and/or topics for a short essay. Pre-selected candidates without a valid CAST shall be invited to sit the CAST exam before or after the interview stage (in accordance with the eligibility criteria set out above). The panel will then recommend a shortlist of candidates for a final decision by the Authority Authorised to Conclude Contracts of Employment (hereafter, the “AACC”). The AACC may decide to interview the candidates on the final shortlist before taking this decision. It is recalled that the selection procedure may be terminated at any stage in the interest of the service. In the interest of the service, after identifying the candidate that best fits the requirements of the post as set out in the vacancy notice, the AACC may also establish a reserve list of candidates. These candidates shall be informed that the reserve list shall remain valid for a period of one year from when it is established and that it may be used to fill the same post or an equivalent post in the EEAS with the same job profile. [1] Staff Regulations of Officials of the European Union (SR) and the Conditions of Employment of Other Servants of the European Union (CEOS). [2] Article 8 of the Commission Decision C(2017) 6760 of 16.10.2017 on the general provisions for implementing Article 79(2) of the Conditions of Employment of Other Servants of the European Union, governing the conditions of employment of contract staff employed by the Commission under the terms of Articles 3a and 3b thereof. [3] Decision ADMIN(2023) 24 on the maximum duration of engagement by the European External Action Service of non-permanent staff under successive limited duration contracts of different types, and on the minimum lapse of time between successive contracts under Article 2(e) of the CEOS. [4] All the eligibility criteria must be met on the closing date for applications to this post. [5] OJ C 263, 26 July 2023, p.16. [6] Your personal data will be processed in accordance with Regulation (EU) 2018/1725, as implemented by ADMIN(2019)8 Decision of the High Representative of the Union for Foreign Affairs and Security Policy. The privacy statement is available on the Europa website: (https://www.eeas.europa.eu/eeas/eeas-privacy-statement-data-protection-notice-purpose-processing-personal-data-related-public_en) and on the EEAS Intranet:(https://intranet.eeas.europa.eu/page/eeas-work/data-protection/privacy-statements-dp-notices).

Description Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. Basic Qualifications Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in Spanish language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA Preferred Qualifications Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Haryana Job ID: A3041333

Position Title: AI Engineer Position Type: Regular - Full-Time Position Location: Gurgaon Requisition ID: 34541 Job Description - AI Engineer We know food's importance in people's lives—the power it has to bring people, families, and communities together. We aim to bring enjoyment to people’s lives through great-tasting food that reflects our values. Brief Summary Of Position And Team We are seeking a highly skilled and innovative AI Engineer to lead the design, development, and deployment of advanced Agentic AI and Generative AI (Gen AI) systems. This role is ideal for individuals passionate about building intelligent agents capable of autonomous decision-making and generative models that produce novel content across various modalities, including text, image, audio, and others. The successful candidate will collaborate with cross-functional teams to create next-generation AI solutions that drive business value and technological advancement. Key Responsibilities Agentic AI Development: Design, implement, and optimize autonomous AI agents capable of reasoning, planning, and executing complex tasks with minimal human intervention. Develop frameworks for multi-agent collaboration, negotiation, and coordination. Integrate agentic systems with real-world applications, ensuring robustness, safety, and ethical alignment. Generative AI ( Gen AI ) Research, prototype, and deploy state-of-the-art generative models for content creation in text, image, audio, and video. Fine-tune and customize large language models (LLMs) and other generative architectures to meet specific business and user needs. Implement prompt engineering, retrieval-augmented generation, and evaluation pipelines for Gen AI solutions. Collaboration & Integration Work closely with product managers, data scientists, and software engineers to integrate AI solutions into products and platforms. Contribute to the development of scalable, production-ready AI systems, including APIs and user interfaces. Research & Innovation Evaluate emerging tools, platforms, and methodologies to enhance the AI engineering toolkit. Governance & Ethics Ensure all AI systems adhere to ethical standards, data privacy regulations, and responsible AI practices. Participate in safety audits, bias assessments, and continuous monitoring of deployed models. Qualifications University degree in Computer Science (or related field) or equivalent work experience. At least five years of experience working with programming languages such as Python or equivalent. 3+ years of experience in AI engineering, with demonstrable expertise in agentic systems and generative models. Hands-on experience with prompt engineering, fine-tuning LLMs, or deploying Gen AI in production. Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, etc. Strong understanding of reinforcement learning, multi-agent systems, and large language models. Experience with cloud-based AI services (e.g., AWS, Azure, GCP) and MLOps best practices. Excellent problem-solving, communication, and collaboration skills. Self-directed, independent, and comfortable in fast-paced, ambiguous, and often multi-directional work environments. McCain Foods is an equal opportunity employer. As a global family-owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other protected characteristic under applicable law. McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know and we will work with you to find appropriate solutions. Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with McCain’s Global Privacy Policy and Global Employee Privacy Policy , as applicable. You can understand how your personal information is being handled here . Job Family: Information Technology Division: Global Digital Technology Department: Global Application Integration Location(s): IN - India : Haryana : Gurgaon Company: McCain Foods(India) P Ltd

Responsibilities Anchor ML development track in a client project Data collection, profiling, EDA & data preparation AI Model development, experimentation, tuning & validation Present findings to business users & project management teams Propose ML based solution approaches & estimates for new use cases Contribute to AI based modules in Infosys solutions development Explore new advances in AI continuously and execute PoCs Mentoring – Guide junior team members & evangelize AI in organization Technical skills Programming: Python, R, SQL ML algorithms: Statistical ML algorithms o Deep Neural Network architectures o Model ensembling o Generative AI models o ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns – supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP Knowledge of Model Quantization and Pruning

Designation: AI/ML Engineer Location: Gurugram Experience: 3+ years Industry: AI Product Role and Responsibilities: Model Development: Design, train, test, and deploy machine learning models using frameworks like Pytorch and TensorFlow, specifically for virtual try-on applications with a focus on draping and fabric simulation. Task-Specific Modeling: Build models for tasks such as Natural Language Processing (NLP), Speech-to-Text (STT), and Text-to-Speech (TTS) that integrate seamlessly with computer vision applications in the virtual try-on domain. Image Processing: Implement advanced image processing techniques including enhancement, compression, restoration, filtering, and manipulation to improve the accuracy and realism of draping in virtual try-on systems. Feature Extraction & Segmentation: Apply feature extraction methods, image segmentation techniques, and draping algorithms to create accurate and realistic representations of garments on virtual models. Machine Learning Pipelines: Develop and maintain ML pipelines for data ingestion, processing, and transformation to support large-scale deployments of virtual try-on solutions. Deep Learning & Draping: Build and train convolutional neural networks (CNNs) for image recognition, fabric draping, and texture mapping tasks crucial to the virtual try-on experience. AI Fundamentals: Leverage a deep understanding of AI fundamentals, including machine learning, computer vision, draping algorithms, and generative AI (Gen AI) techniques to drive innovation in virtual try-on technology. Programming: Proficiently code in Python and work with other programming languages like Java, C++, or R as required. Cloud Integration: Utilize cloud-based AI platforms such as AWS, Azure, or Google Cloud to deploy and scale virtual try-on solutions, with a focus on real-time processing and rendering. Data Analysis: Perform data analysis and engineering to optimize the performance and accuracy of AI models, particularly in the context of fabric draping and garment fitting. Continuous Learning: Stay informed about the latest trends and developments in machine learning, deep learning, computer vision, draping technologies, and generative AI (Gen AI), applying them to virtual try-on projects. Skills Required: Experience: Minimum of 5 years in Computer Vision Engineering or a similar role, with a focus on virtual try-on, draping, or related applications. Programming: Strong programming skills in Python, with extensive experience in Pytorch and TensorFlow. Draping & Fabric Simulation: Hands-on experience with draping algorithms, fabric simulation, and texture mapping techniques. Data Handling: Expertise in data pre-processing, feature engineering, and data analysis to support high-quality model development, especially for draping and virtual garment fitting. Deep Neural Networks & Gen AI: Extensive experience in working with Deep Neural Networks, Generative Adversarial Networks (GANs), Conditional GANs, Transformers, and other generative AI techniques relevant to virtual try-on and draping. Advanced Techniques: Proficiency with cutting-edge techniques like Stable Diffusion, Latent Diffusion, InPainting, Text-to-Image, Image-to-Image models, and their application in computer vision and virtual try-on technology. Algorithm Knowledge: Strong understanding of machine learning algorithms and techniques, including deep learning, supervised and unsupervised learning, reinforcement learning, natural language processing, and generative AI.

Drives sales growth through mid- to long-term account or business planning. Guides segment leads or partners, or collaborates with peers to develop segment strategy for segmentation, territory planning, and quota setting. As primary orchestrator of the Account/Portfolio Partner Business Plan, activates sponsorship within segment leaders. Defines and drives a predictable rhythm of the connection (ROC) in collaboration with peers and/or leadership. Guides sales teams/leadership on sales motions/strategies for opportunity management as a subject matter expert. Coaches and builds relationships with sales leaders on executing key priorities. Drives awareness and clarity of Corporate or TimeZone programs. Leads optimization and improvement in sales team processes and capabilities across the organization. Identifies trends on sales challenges or blockers. Leads innovations in analytics on key revenue drivers. Drives sales process discipline, adherence to standards and excellence in execution, or pipeline health in collaboration with sales leaders. Integrates the feedback to guide engineer/partner teams on improving tools. Supports segment leader capacity as a senior leader. Responsibilities Business Partnership and Support As primary orchestrator of the Account/Portfolio Partner Business Plan, activates sponsorship within segment leaders. Coaches managers and sellers on account/portfolio/partner business planning fundamentals, habits, and plan quality. Drives reinforcement and review of quality plans across region(s). Guides sales teams/leadership on sales motions/strategies for opportunity management (e.g., up-sell, cross-sell, renewal, recapture) as a subject matter expert. Clarifies accountabilities and operationalizes the prioritized sales plays and industry solutions. Guides sales teams/leadership to generate new business and accelerates the closing of existing opportunities. Drives sales growth, in our Consumption business, through mid to long term account or business planning. Analyzes the outlook and generates business insights to benchmark performance and/or define sales/ organizational/partner strategies. Contributes to integrating strategy components (e.g., programs, blueprints), cascading, aligning, and executing the defined strategy across region(s). Defines and drives a predictable rhythm of the connection (RoC) in collaboration with peers and/or leadership. Leads end-to-end RoC activities to enforce great discipline and ensure quality outcome delivery. Provides in-depth business insights and recommendations to effect positive changes. Leads efforts and coaches less experienced team members to streamline and improve the RoC cadence across region(s). Driving Sales Process Discipline Drives sales process discipline, adherence to standards and excellence in execution, or pipeline health in collaboration with sales managers. Holds sales managers accountable for account plan quality and completeness. Helps ensure consistency and excellence in the sales process across the segment(s)/region(s). Shares best practices and provides thought leadership across teams. Leads analytics on key revenue drivers (e.g. by channel, by product, by geo) and generates data-based insights to drive Net New Revenue. Leverages and develops reporting and analytical capabilities to generate data-based insights and enable visibility into revenue and forecast for sellers, sales managers and leaders, or partners. Acts as a subject matter expert to convey the value of tools and drive the effective and rigorous usage of common and/or new processes and tools developed for the wider business to improve internal and external communications and engagements. Owns consolidated input from the supported area into the feedback loop. Leverages the feedback to influence engineer/partner teams on improving tools. Sales Coaching for Growth and Transformation Drives optimization and improvement in sales team processes and capabilities across the region(s). Assesses and anticipates customer/partner needs and applies or develops methodologies and resources to transform seller capabilities, sales processes, and/or partner engagement processes. Models transformation to a coaching culture. Coaches and builds relationships with sales managers on executing key priorities. Identifies where coaching may be needed based on data-driven insights. Influences sales managers to become more effective coaches to their teams. Guides sales managers to achieve increased individual and team capability, employee satisfaction, and collaborative selling efforts. May coach and guide large deal pursuit. Partners with Area Transformation Leads, Area Capability Leads, and Business and Sales Operations (BSO) to remove sales roadblocks, drive utilizations of investment, increase customer/partner-facing time, and enhance seller/partner capability and effectiveness. Shares insights and influences sales managers' strategies to anticipate and mitigate risks. Integrates feedback on sales challenges or blockers. Guides relevant teams to develop actions based on the feedback. Drives awareness and clarity of Corporate or TimeZone programs. Intakes and drives the adoption of plans to create new habits among sales teams or partners. Supporting Executive Capacity Supports segment leader capacity as a senior leader. Advises on and contributes to various aspects of business management (e.g., employee engagement, resource allocation, change management, building high-performing teams) in collaboration with leadership and cross-functional teams. Represents the segment as an internal advocate and an extension of the segment leadership. Qualifications Required Qualifications : 8+ years’ experience in sales, sales operations/management, account management, program management, business development, marketing, consulting, or a related field OR equivalent experience. 5+ years of experience using data to drive business outcomes or inform business decisions. 5+ years of experience managing relationships with stakeholders, clients, and/or partners/customers. 5+ years managing projects, including planning, managing timelines, and tracking progress, and/or change management experience. Preferred Experience Demonstrated ability to lead cross-functional projects and collaborate across Sales, Finance, and Operations teams. Experience supporting field sales or managing investment/resource planning in a global or regional organization. Familiarity with deal structuring, forecasting, or incentive-based programs that support customer success or cloud adoption. Proven ability to design and scale operational processes, tools, and best practices to drive efficiency and enablement. Experience preparing executive-level presentations, performance reviews, and storytelling through data. Understanding of financial governance, compliance protocols, and working closely with finance and legal teams. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview The role is responsible for supporting implementation of BU-wide Culture, Team Effectiveness, and Recognition programs, with a focused lens on improving frontline experience and enabling values-driven behaviors on the ground. It plays a key role in delivering consistent experience, coordinating ERG and Super5 efforts, and supporting cultural reinforcement through local interventions. Responsibilities Execution of OHS and OHS planning across all employee segments by coordinating with LHRs for deployment and tracking. Drive frontline experience by gathering field insights; support documentation and follow-ups to improve employee experience. Coordinate R&R program deployment (SMILES, Townhall awards), ensuring nominations and local logistics are in place. Activate The PepsiCo Way (TPW) interventions across locations through toolkits and cascade materials tailored for different audiences. Liaise with Capability team to integrate culture themes and frontline development into onboarding and learning practices. Coordination and rollout of Super5 team effectiveness initiatives at plants and sales units. Facilitate communication and local execution of ERG initiatives, ensuring inclusive participation across employee levels. Track usage and effectiveness of interventions using provided templates; flag any operational challenges and feedback. Capturing and communicating success stories from field execution. Partner with HRBPs and LHRs on usage of culture-related toolkits and templates. Coordinate with vendors for surveys, recognition events, and program deployment logistics as needed. Liaise directly with global TM teams for India Foods talent processes, in the absence of sector-level TM support. Qualifications 3-5 years of experience in HR and employee engagement roles with exposure to field teams Experience working in India and in multicultural/global environments Fluent in English Experience coordinating with LHRs and managing program logistics Strong Project Management capability (planning & reporting) Strong discipline and governance, driving consistent process adherence and operational excellence across initiatives. Results orientation, with a relentless focus on delivering high-impact outcomes. Project coordination ability with strong follow-through Empathy and ability to engage frontline workforce with humility and professionalism Prioritizes with clarity, consistently focusing on what drives long-term business and culture impact.

Job Description 💰 Compensation Note: The budget for this role is fixed at INR 50–55 lakhs per annum (non-negotiable). Please ensure this aligns with your expectations before applying. 📍 Work Setup: This is a hybrid role , requiring 3 days per week onsite at the office in Hyderabad, Bangalore or Pune, India . Company Description: Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. Job Description : We are looking for an AI Engineer with experience in Speech-to-text and Text Generation to solve a Conversational AI challenge for our client based in EMEA. The focus of this project is to transcribe conversations and leverage generative AI-powered text analytics to drive better engagement strategies and decision-making. The ideal candidate will have deep expertise in Speech-to-Text (STT), Natural Language Processing (NLP), Large Language Models (LLMs), and Conversational AI systems. This role involves working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. Key Responsibilities: Conversational AI & Call Transcription Development Develop and fine-tune automatic speech recognition (ASR) models Implement language model fine-tuning for industry-specific language. Develop speaker diarization techniques to distinguish speakers in multi-speaker conversations. NLP & Generative AI Applications Build summarization models to extract key insights from conversations. Implement Named Entity Recognition (NER) to identify key topics. Apply LLMs for conversation analytics and context-aware recommendations. Design custom RAG (Retrieval-Augmented Generation) pipelines to enrich call summaries with external knowledge. Sentiment Analysis & Decision Support Develop sentiment and intent classification models. Create predictive models that suggest next-best actions based on call content, engagement levels, and historical data. AI Deployment & Scalability Deploy AI models using tools like AWS, GCP, Azure AI, ensuring scalability and real-time processing. Optimize inference pipelines using ONNX, TensorRT, or Triton for cost-effective model serving. Implement MLOps workflows to continuously improve model performance with new call data. Qualifications: Technical Skills Strong experience in Speech-to-Text (ASR), NLP, and Conversational AI. Hands-on expertise with tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Speech-to-Text. Proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers. Experience with LLM fine-tuning, RAG-based architectures, and LangChain. Hands-on experience with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for knowledge retrieval. Experience deploying AI models using Docker, Kubernetes, FastAPI, Flask. Soft Skills Ability to translate AI insights into business impact. Strong problem-solving skills and ability to work in a fast-paced AI-first environment. Excellent communication skills to collaborate with cross-functional teams, including data scientists, engineers, and client stakeholders. Preferred Qualifications Experience in healthcare, pharma, or life sciences NLP use cases. Background in knowledge graphs, prompt engineering, and multimodal AI. Experience with Reinforcement Learning (RLHF) for improving conversation models.

We are looking for a Robotics Software Engineer with a strong background in Artificial Intelligence (AI) and Machine Learning (ML) to join our dynamic robotics team. You’ll use computer-aided modeling to create drafts, simulate robotic systems, and perform tests to ensure that the robots meet the highest standards of safety, reliability, and quality. For this job, you should have deep knowledge of flexible automation and computer systems and also possess an aptitude for cost and efficiency optimization. If you also have a great deal of resourcefulness and a vision of what your machines can do, we’d like to meet you. The ideal candidate will be able to work collaboratively with interdisciplinary teams, including hardware engineers and data scientists, to bring innovative robotic solutions to life. You will also be expected to stay up to date with the latest advancements in AI and robotics, continually pushing the boundaries of what’s possible in the field. Responsibilities Design, implement, and deliver application-specific solutions using the current robotics application Framework. Train, validate, and fine-tune machine learning models for real-time robotics applications, including perception, autonomy, and navigation tasks. Integrate AI/ML models into robotic systems, ensuring smooth operation in real-time environments, including testing and debugging robotic software. Application development for mobile robot navigation and robotic manipulator control. Perform bug fixing and improvement of the current application framework using Reverse Engineering. Design and implement tools to facilitate application development and testing. Development of robotic agnostic mapping system and application. Requirements Knowledge of Robot Operating System (ROS) is mandatory. Knowledge on robotics 2D/3Dmapping Localization & navigation algorithms. Hands on experience with Lidar sensor and stereo camera. Proficiency in a couple of types of mainstream programming languages preferably C/C++, Python. Knowledge of specific libraries for image processing preferably OpenCV. Basic experience in software architecting. Knowledge in image processing. Able to use tools to manage source code, preferably Git, and GitLab. Qualification: B.Tech/M.Tech in computer science/Robotics or related field with a focus on AI or Machine Learning. Experience: 4 - 8 Year Experience involving AI/ML techniques, including but not limited to neural networks, computer vision, reinforcement learning, or robotics. Job Location: Technopark , Thiruvananthapuram. Skills: image processing,robot operating system (ros),git,mapping software,localization algorithms,lidar,machine learning (ml),artificial intelligence,lidar sensor,sensors,software architecting,stereo camera,opencv,c/c++,python,2d/3d mapping,navigation algorithms,ros,reverse engineering,gitlab,artificial intelligence (ai),machine learning

Job Description 💰 Compensation Note: The budget for this role is fixed at INR 50–55 lakhs per annum (non-negotiable). Please ensure this aligns with your expectations before applying. 📍 Work Setup: This is a hybrid role , requiring 3 days per week onsite at the office in Hyderabad, Bangalore or Pune, India . Company Description: Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. Job Description : We are looking for an AI Engineer with experience in Speech-to-text and Text Generation to solve a Conversational AI challenge for our client based in EMEA. The focus of this project is to transcribe conversations and leverage generative AI-powered text analytics to drive better engagement strategies and decision-making. The ideal candidate will have deep expertise in Speech-to-Text (STT), Natural Language Processing (NLP), Large Language Models (LLMs), and Conversational AI systems. This role involves working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. Key Responsibilities: Conversational AI & Call Transcription Development Develop and fine-tune automatic speech recognition (ASR) models Implement language model fine-tuning for industry-specific language. Develop speaker diarization techniques to distinguish speakers in multi-speaker conversations. NLP & Generative AI Applications Build summarization models to extract key insights from conversations. Implement Named Entity Recognition (NER) to identify key topics. Apply LLMs for conversation analytics and context-aware recommendations. Design custom RAG (Retrieval-Augmented Generation) pipelines to enrich call summaries with external knowledge. Sentiment Analysis & Decision Support Develop sentiment and intent classification models. Create predictive models that suggest next-best actions based on call content, engagement levels, and historical data. AI Deployment & Scalability Deploy AI models using tools like AWS, GCP, Azure AI, ensuring scalability and real-time processing. Optimize inference pipelines using ONNX, TensorRT, or Triton for cost-effective model serving. Implement MLOps workflows to continuously improve model performance with new call data. Qualifications: Technical Skills Strong experience in Speech-to-Text (ASR), NLP, and Conversational AI. Hands-on expertise with tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Speech-to-Text. Proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers. Experience with LLM fine-tuning, RAG-based architectures, and LangChain. Hands-on experience with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for knowledge retrieval. Experience deploying AI models using Docker, Kubernetes, FastAPI, Flask. Soft Skills Ability to translate AI insights into business impact. Strong problem-solving skills and ability to work in a fast-paced AI-first environment. Excellent communication skills to collaborate with cross-functional teams, including data scientists, engineers, and client stakeholders. Preferred Qualifications Experience in healthcare, pharma, or life sciences NLP use cases. Background in knowledge graphs, prompt engineering, and multimodal AI. Experience with Reinforcement Learning (RLHF) for improving conversation models.

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Sr. Data Scientist – Job description Meet our team: The Data & Analytics organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and non-streaming products such as Films Group, Sports, News and overall WBD eco-system. Our mission is to foster unified analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape. Roles & Responsibilities: The role will focus on building out machine learning solutions for WBD’s Data and Analytics organization. Primary focus will be on unlocking machine learning opportunities and building foundational machine learning training and inference pipelines at scale. You have a deep understanding of different types of data, metrics and KPIs. You will lead by example and define the best practices, will set high standards for the entire team and for the rest of the organization. You have a successful track record for ambitious projects across cross-functional teams. You are passionate and results oriented. You strive for technical excellence and are very hands-on. Your co-workers love working with you. You have built respect in your career through concrete accomplishments. Build cutting-edge capabilities utilizing machine learning and data science (e.g., large language models, computer vision models, advanced ad & content targeting, etc.) Lead data science and model development techniques for the team. Leverage industry best practices and tools to continually improve teams' ability to build machine learning models. What to Bring: BA/BS in statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required. Masters/PhD is a plus 5+ years of experience building data science/statistical models (Multivariate regression, Time Series Model, XGBoost, Causal inference etc.) Strong understanding of modern ML approaches (GBDT, CNN, LSTM, GRU, HRNN, transformers, siamese neural networks, variational auto-encoders, ...). Experience with Deep Learning, NLP, LLMs, Reinforcement Learning, Causal Inference. Good knowledge of ML tools and frameworks (TensorFlow, Keras, pyTorch, scikit-learn, Spark,...). Proficiency in programming languages such as Python or R. Familiarity with real-world ML systems (configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, monitoring). Good understanding of operating machine learning solutions at scale, covering the end-to-end ML workflow. Strong interpersonal skills with the ability to motivate, collaborate and influence Ability to deliver on multiple projects and meet tight deadlines Ability to effectively influence and communicate cross-functionally with all level How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

Pre-School and Daycare Teacher (Only Female Candidates) Location – Nexity, Hyderabad Timings - Monday to Friday - 9 hours(9.30 am to 6.30 pm) 3 Saturdays and all Sundays in a month are off Candidate Must be fluent in English As a Pre-School and Daycare Teacher, you will have the opportunity to work closely with a dedicated team of educators, sharing ideas and strategies to enhance the curriculum and support each child's growth. Your contributions will be valued, and you will be encouraged to explore new teaching methodologies that inspire creativity and critical thinking among young learners. Roles and Responsibilities: Design and implement engaging lesson plans that cater to the developmental needs of children. Foster a safe and inclusive classroom environment that encourages exploration and learning. Assess and monitor children's progress, providing feedback to parents and guardians. Organize and participate in school events and activities that promote community involvement. Support children's social and emotional development through positive reinforcement and guidance. Maintain a clean and organized classroom that reflects a positive learning atmosphere. Communicate effectively with parents, staff, and administration to ensure a cohesive educational approach. Qualifications and Skills: Bachelor's degree preferably in Early Childhood Education or a related field. Teacher training course/ Montessori course / ECCE preferred/Nursing Must have a strong command over English, Hindi Ability to manage small children, be patient with them and understand their needs & interests Additional Preferred Qualifications: - Work experience in the field of early childcare/ nursing/ teaching Computer skills Using apps , email correspondence, MS office Total work experience: 1-6 years Commitment to ongoing professional development and lifelong learning. Passion for nurturing young minds and fostering a love for learning. Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹25,000.00 per month Interested candidates apply on deepak.visko@gmail.com or 9238142824 . Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹25,000.00 per month Work Location: In person

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

Drives sales growth through mid- to long-term account or business planning. Guides segment leads or partners, or collaborates with peers to develop segment strategy for segmentation, territory planning, and quota setting. As primary orchestrator of the Account/Portfolio Partner Business Plan, activates sponsorship within segment leaders. Defines and drives a predictable rhythm of the connection (ROC) in collaboration with peers and/or leadership. Guides sales teams/leadership on sales motions/strategies for opportunity management as a subject matter expert. Coaches and builds relationships with sales leaders on executing key priorities. Drives awareness and clarity of Corporate or TimeZone programs. Leads optimization and improvement in sales team processes and capabilities across the organization. Identifies trends on sales challenges or blockers. Leads innovations in analytics on key revenue drivers. Drives sales process discipline, adherence to standards and excellence in execution, or pipeline health in collaboration with sales leaders. Integrates the feedback to guide engineer/partner teams on improving tools. Supports segment leader capacity as a senior leader. Responsibilities Business Partnership and Support As primary orchestrator of the Account/Portfolio Partner Business Plan, activates sponsorship within segment leaders. Coaches managers and sellers on account/portfolio/partner business planning fundamentals, habits, and plan quality. Drives reinforcement and review of quality plans across region(s). Guides sales teams/leadership on sales motions/strategies for opportunity management (e.g., up-sell, cross-sell, renewal, recapture) as a subject matter expert. Clarifies accountabilities and operationalizes the prioritized sales plays and industry solutions. Guides sales teams/leadership to generate new business and accelerates the closing of existing opportunities. Drives sales growth, in our Consumption business, through mid to long term account or business planning. Analyzes the outlook and generates business insights to benchmark performance and/or define sales/ organizational/partner strategies. Contributes to integrating strategy components (e.g., programs, blueprints), cascading, aligning, and executing the defined strategy across region(s). Defines and drives a predictable rhythm of the connection (RoC) in collaboration with peers and/or leadership. Leads end-to-end RoC activities to enforce great discipline and ensure quality outcome delivery. Provides in-depth business insights and recommendations to effect positive changes. Leads efforts and coaches less experienced team members to streamline and improve the RoC cadence across region(s). Driving Sales Process Discipline Drives sales process discipline, adherence to standards and excellence in execution, or pipeline health in collaboration with sales managers. Holds sales managers accountable for account plan quality and completeness. Helps ensure consistency and excellence in the sales process across the segment(s)/region(s). Shares best practices and provides thought leadership across teams. Leads analytics on key revenue drivers (e.g. by channel, by product, by geo) and generates data-based insights to drive Net New Revenue. Leverages and develops reporting and analytical capabilities to generate data-based insights and enable visibility into revenue and forecast for sellers, sales managers and leaders, or partners. Acts as a subject matter expert to convey the value of tools and drive the effective and rigorous usage of common and/or new processes and tools developed for the wider business to improve internal and external communications and engagements. Owns consolidated input from the supported area into the feedback loop. Leverages the feedback to influence engineer/partner teams on improving tools. Sales Coaching for Growth and Transformation Drives optimization and improvement in sales team processes and capabilities across the region(s). Assesses and anticipates customer/partner needs and applies or develops methodologies and resources to transform seller capabilities, sales processes, and/or partner engagement processes. Models transformation to a coaching culture. Coaches and builds relationships with sales managers on executing key priorities. Identifies where coaching may be needed based on data-driven insights. Influences sales managers to become more effective coaches to their teams. Guides sales managers to achieve increased individual and team capability, employee satisfaction, and collaborative selling efforts. May coach and guide large deal pursuit. Partners with Area Transformation Leads, Area Capability Leads, and Business and Sales Operations (BSO) to remove sales roadblocks, drive utilizations of investment, increase customer/partner-facing time, and enhance seller/partner capability and effectiveness. Shares insights and influences sales managers' strategies to anticipate and mitigate risks. Integrates feedback on sales challenges or blockers. Guides relevant teams to develop actions based on the feedback. Drives awareness and clarity of Corporate or TimeZone programs. Intakes and drives the adoption of plans to create new habits among sales teams or partners. Supporting Executive Capacity Supports segment leader capacity as a senior leader. Advises on and contributes to various aspects of business management (e.g., employee engagement, resource allocation, change management, building high-performing teams) in collaboration with leadership and cross-functional teams. Represents the segment as an internal advocate and an extension of the segment leadership. Qualifications Required Qualifications : 8+ years’ experience in sales, sales operations/management, account management, program management, business development, marketing, consulting, or a related field OR equivalent experience. 5+ years of experience using data to drive business outcomes or inform business decisions. 5+ years of experience managing relationships with stakeholders, clients, and/or partners/customers. 5+ years managing projects, including planning, managing timelines, and tracking progress, and/or change management experience. Preferred Experience Demonstrated ability to lead cross-functional projects and collaborate across Sales, Finance, and Operations teams. Experience supporting field sales or managing investment/resource planning in a global or regional organization. Familiarity with deal structuring, forecasting, or incentive-based programs that support customer success or cloud adoption. Proven ability to design and scale operational processes, tools, and best practices to drive efficiency and enablement. Experience preparing executive-level presentations, performance reviews, and storytelling through data. Understanding of financial governance, compliance protocols, and working closely with finance and legal teams. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.