2099 Reinforcement Jobs - Page 41

Job Description – Data Scientist Company: Tata Digital Private Limited Tata Digital is a future-ready company focused on building consumer-centric, high-engagement digital products. Our flagship offering, Tata Neu , is a super-app that integrates various consumer services, including groceries, fashion, electronics, travel, financial services, and more, into a seamless experience. As a wholly owned subsidiary of Tata Sons Private Limited , we are committed to driving digital transformation at scale. Role Details Role Title: Data Scientist / Machine Learning Engineer Function: Data Science Location: Bangalore Experience: 3-5 Y About the Role: We are looking for an experienced Data Scientist / Machine Learning Engineer to join our team and help drive innovation in search, recommendation, and ads. You will be responsible for designing, building, and optimizing ML models that enhance user experience and business outcomes at scale. If you have a strong background in developing scalable ML solutions within a product-driven company, we want to hear from you. Key Responsibilities: Develop and optimize ML models for search ranking, recommendations, and ad targeting to improve engagement and monetization. Design, implement, and deploy large-scale ML pipelines in production environments. Experiment with and improve deep learning, NLP, for personalization and relevance. Conduct A/B testing and data-driven evaluations to measure the impact of ML models. Optimize infrastructure and data processing for high-scale real-time and batch ML systems. Stay up to date with advancements in ML, AI, and big data technologies and apply them to business problems. Minimum Qualifications: 3+ years of experience in Data Science / Machine Learning Engineering, with a focus on search, recommendation systems, or advertising. Strong programming skills in Python, Scala, or Java with experience in ML frameworks like TensorFlow, PyTorch, or Scikit-learn . Experience with big data technologies (e.g., Spark, Hadoop, Kafka) and distributed computing. Proficiency in SQL and NoSQL databases for large-scale data processing. Hands-on experience in deploying ML models in production at scale (MLOps, CI/CD for ML). Strong understanding of ranking models, deep learning, NLP, and reinforcement learning. Preferred Qualifications: Familiarity with vector search, embeddings, and retrieval-based models. Strong problem-solving skills and ability to work in a fast-paced environment Experience with cloud platforms like AWS, GCP, or Azure . If you’re passionate about building intelligent, scalable, and high-impact ML solutions, apply now! Learn more about Tata Digital: Tata Neu Tata Digital Newsroom LinkedIn YouTube

IML_Technical_Project _Manager(JOB00671) Hyderabad, Hyderabad, Telangana , India (HHTI),Chennai, Chennai, Tamil Nadu , India (TCTI) Experience Range-12 - 16 Years Role Summary: The AI Manager leads the AI team, contributing to technical strategy and decision-making. This role involves managing the day-to-day delivery of the AI/ML team, responsible for building, deploying, and maintaining robust, scalable, and efficient ML models. Essential Responsibilities: Provide technical leadership and strategic direction for the AI team, aligning with overall company objectives. Lead and mentor a team of data engineers, MLOps engineers, and machine learning engineers to achieve project objectives and deliverables (development and deployment of ML models for AI use cases across the platform). Contribute to AI/ML architecture design and implementation. Collaborate with business, engineering, infrastructure, and data science teams to translate their needs or challenges into production-grade Artificial Intelligence and Machine Learning models for batch and real-time requirements. Serve as a primary point of contact for US & Thryve leaders, ensuring clear communication and aligning with project goals and objectives. Guide the AI/ML engineers with respect to business objectives, connecting the dots, and helping the team come up with optimal ML models based on use cases. Manage day-to-day operations, ensuring adherence to process, scope, quality, and timelines. Assume the role of an engagement coordinator between the Thryve India team and US counterparts (techno-functional). Highlight risks and concerns to the leadership team and work with multiple stakeholders to establish alignment, contingency, and/or mitigation plans as required. Proactively track delivery statuses and project progress, taking ownership of all deliverables from Thryve. Communicate effectively with team members, US stakeholders, and management. Stay up-to-date with the latest trends and advancements in AI and ML, and identify opportunities for the team to implement new models and technologies. Propose and implement best engineering and research practices for scaling ML-powered features, enabling fast iteration and efficient experimentation with novel features. Required Skills and Qualifications: Bachelor's degree in engineering, computer science, or a related field. 12 to 16 years of total experience, with at least 3 years of experience leading/managing AI/ML projects (Worked in Predictive modeling projects), achieving clear & measurable business objectives. Good understanding of US Health insurance with at least 2+ years of experience in the same. Experience and understanding of the entire MLOps pipeline, from data ingestion to production. Strong understanding of AI/ML concepts & algorithms, including supervised, unsupervised, and reinforcement learning, as well as MLOps. Proven ability to take successful, complex ideas from experimentation to production. Hands-on experience with Google Cloud Platform (GCP) or any public cloud platform. Excellent communication, presentation, and interpersonal skills. Proven experience in leading, motivating & inspiring teams to foster collaboration. Proficient in identifying, assessing, and calling out risks and mitigation plans to stakeholders. Experience in implementing process improvements and learning from past projects to enhance future performance. Ability to analyze external and internal processes and create strategies for service delivery optimization. Experience in working with diverse teams and stakeholders, understanding their needs and managing expectations. Experience In handling team & managing multiple stakeholders. Job Type: Full-time Pay: ₹3,000,000.00 - ₹3,500,000.00 per year Benefits: Health insurance Schedule: Day shift Monday to Friday Work Location: In person

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Role Overview Fiche de poste : UPS Data Science and Machine Learning team is seeking a highly skilled and experienced Lead Machine Learning Engineer to manage our AI, ML, GenAI application focused on Cross Border logistics. This position leverages continuous integration and deployment of the best practices, including test automation and monitoring, to ensure successful deployment of optimal ML models and analytical systems. You will be responsible for the end-to-end lifecycle of AI models, from experimentation and fine-tuning to deployment and management in production. A strong background in prompt engineering and practical experience with either Google Cloud's Vertex AI platform is essential for this role. You will also provide technical leadership and mentorship to other members of the AI/ML team. Key Responsibilities Lead the development and deployment of generative AI solutions utilizing LLMs, SLMs, and FMs for various applications (e.g., content generation, chatbots, summarization, code generation, etc.). Architect and implement robust and scalable infrastructure for training, fine-tuning, and serving large-scale AI models, leveraging either Vertex AI. Drive the fine-tuning and adaptation of pre-trained models using proprietary data to achieve state-of-the-art performance on specific tasks. Develop and implement effective prompt engineering strategies to elicit desired outputs and control the behavior of generative models. Manage the lifecycle of deployed models, production support, including monitoring performance, identifying areas for improvement, and implementing necessary updates or retraining. Collaborate closely with cross-functional teams (e.g., product, engineering, research) to understand business requirements and translate them into technical solutions. Provide technical leadership and mentorship to junior machine learning engineers, fostering a culture of learning and innovation. Ensure the responsible and ethical development and deployment of AI models, considering factors such as bias, fairness, and privacy. Stay up to date with latest advancements in generative AI, LLMs, and related technologies, and evaluate their potential application within the company. Document technical designs, implementation details, and deployment processes. Troubleshoot and resolve issues related to model performance and deployment. Required Skills And Experience Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Minimum of 5-8 years of hands-on experience in building, deploying, and managing machine learning models in a production environment. Demonstrable experience in managing, deploying, and fine-tuning large language models (LLMs), small language models (SLMs), and foundation models (FMs). Significant hands-on experience with prompt engineering techniques for various generative AI tasks. Proven experience working with either Google Cloud's Vertex AI platform platform. including experience with their respective model registries, deployment tools, and MLOps features. Strong programming skills in Python and experience with relevant machine learning libraries (e.g., TensorFlow, PyTorch, Transformers). Experience with cloud computing platforms (beyond Vertex AI is a plus, e.g. Azure). Solid understanding of machine learning principles, deep learning architectures, and evaluation metrics. Excellent problem-solving, analytical, and communication skills. Ability to work independently and as part of a collaborative team. Experience with MLOps practices and tools for continuous integration and continuous delivery (CI/CD) of ML models is highly desirable. Experience with version control systems (e.g., Git). Bonus Points Experience with model governance frameworks and implementing ethical AI practices. Experience with specific generative AI use cases relevant to Logistics industry. Publications or contributions to open-source projects, technical blogs, or industry conferences are considered a plus Familiarity with data engineering pipelines and tools. Familiarity with emerging trends in generative AI, reinforcement learning from human feedback (RLHF), and federated learning approaches. Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés.

- 3+ years of technical support experience - Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent - Knowledge of about AWS integration and usage Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities - Become a subject matter expert on one or more services - Provide support activities for these services and regularly work with development teams to establish and improve service support - Operate with guidance from management and drive issues to resolution - Understand the business logic and architecture of supported services to regularly resolve undocumented trouble tickets - Be able to read and understand complex application code and make approved code fixes to resolve support issues - Provide mentoring, training, documentation, and tools to other Support Engineers to enable them to perform support activities - Regularly contribute to the creation and improvement of all support documentation - Perform code builds and deployments communicating status regularly before, during, and after each deployment - Create and interpret metrics that measure support success and service performance - Help develop and refine operational policies and procedures used by teams and internal customers - Participate fully and constructively in the planning of team’s work - Have the ability to write simple and efficient tools to improve operational efficiency - Learn to contribute to design and development of support tools using software engineering best practices - Mentor other Support Engineers and are involved with interviewing and onboarding new team members Bachelor's degree in computer science or equivalent 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.

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... As a DMTS (AI Science) you will own and drive end to end solutions for Cognitive and Gen AI driven use cases. Working on designing and building scalable cognitive and generative AI solutions to meet the needs of given Business engagement. Providing technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices. Working in collaborative environment with global teams to drive solutioning of business problems. Developing end to end analytical solutions, and articulating insights to leadership. Provide data-driven recommendations to business by clearly articulating complex modeling concepts through generation and delivery of presentations. Analyzing and model both structured and unstructured data from a number of distributed client and publicly available sources. Assisting with the mentorship and development of Junior members. Drive team towards solutions. Assisting in growing data science practice in Verizon, by meeting business goals through client prospecting, responding to model POC, identifying and closing opportunities within identified Insights, writing white papers, exploring new tools and defining best practices. What We’re Looking For... You have strong ML/NLP/GenAI skills and are eager to work in a collaborative environment with global teams to drive NLP/GenAI application in business problems. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various stakeholders and cross functional teams to implement data science driven business solutions. You take pride in your role as a data scientist and evangelist and enjoy adding to the systems, concepts and models that enrich the practice. You enjoy mentoring and empowering the team to expand their technical capabilities. You’ll Need To Have Bachelor’s degree or four or more years of work experience. Six or more years of work experience. Data Scientist and thought leader with experience in implementing production use cases in Gen AI and Cognitive. Ten or more years of hands-on experience on implementation of large-scale NLP Projects and Fine tuning & Evaluation of LLMs for downstream tasks such as text generation, Classification, summarization, question answering, entity extraction etc. Working knowledge of Agentic AI frameworks like LangChain, LangGraph, CrewAI etc. Ability to guide the team to correctly analyze cognitive insights and leverage unstructured conversational data to create transformative, intelligent, context aware and adaptive AI systems. Experience in Machine Learning, Deep Learning model development & deployment from scratch in Python. Working knowledge of NLP frameworks and libraries like NLTK, Spacy, Transformers, Pytorch, Tensorflow, hugging face API's. Working knowledge of various supervised and unsupervised ML algorithms. Should know the various data preprocessing techniques and its impact on algorithm's accuracy, precision and recall. Knowledge & Implementation Experience of Deep Learning i.e Convolutional Neural Nets (CNN), Recursive Neural Nets (RNN) & Long Short-Term Memory (LSTM), Generative Adversarial Networks (GAN), Deep Reinforcement Learning. Experience with RESTful, JSON API services. Working knowledge on Word embeddings, TF-IDF, Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context. Experience in analyzing Live Chat/call conversation with agents. Expertise in Python, Sql, PySpark, Scala and/or other languages and tools. Understanding of validation framework for generative model output and perspective on future ready systems to scale validation. Familiarity with GPU/CPU architecture and distributed computing and general infra needs to scale Gen AI models Ability to provide technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices. Even better if you have one or more of the following: Phd or an advanced degree or specialization in Artificial Intelligence If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

Techolution is seeking a visionary Associate Full Stack Developer to join our innovative team in Hyderabad . Dive into a world where your passion for React and Node.js will shape cutting-edge web applications that push the boundaries of technology. As a key player in our dynamic, fast-paced environment, you'll collaborate with cross-functional teams to turn complex challenges into elegant solutions. If you're excited about crafting scalable, responsive applications and thrive in an atmosphere of continuous learning and growth, this role offers the perfect canvas for your technical artistry. Key Responsibilitie sArchitect and develop full-stack web applications using HTM L, CS S, and JavaScrip t, ensuring seamless user experiences across device sDesign and implement robust RESTful API s using Node.j s, facilitating efficient communication between front-end and back-end system sLeverage Reac t to build dynamic and responsive user interfaces, enhancing interactivity and performanc eDevelop and maintain scalable microservices architectur e, enabling modular and efficient system desig nImplement cloud-native solution s on GC P and AW S, optimizing application performance and scalabilit yCollaborate with cross-functional teams to integrate AI component s into existing products, driving innovation and user valu eDemonstrate ownership by taking responsibility for end-to-end feature development, from conception to deploymen tApply a seeker mindset to continuously learn and adapt to emerging technologies and best practices in full-stack developmen tShowcase unbeatable work ethic by delivering high-quality code on time and actively participating in code review sUtilize strong comprehension skills to translate complex business requirements into efficient technical solution s Top Non-Negotiable Skil lsHTML, CSS, and JavaScri pt​: Proven expertise in front-end technologies with the ability to create responsive and visually appealing interfa cesRe act: In-depth knowledge of the React framework, including state management, hooks, and component lifecy cleNode .js: Proficiency in server-side JavaScript, with experience building scalable and efficient back-end servi cesMicroservice Architect ure: Understanding of distributed systems and ability to design and implement microservices-based applicati onsCloud-Native Developm ent: Familiarity with cloud-native principles and experience developing applications for cloud environme ntsGCP and AWS: Hands-on experience with major cloud platforms, including deployment, scaling, and resource managem entAI Project or Product Development Experie nce: Demonstrated ability to integrate AI components into full-stack applicati onsOwners hip: Proven ability to take full responsibility for assigned tasks and projects, ensuring successful complet ionSeeker Mind set: Proactive learner who stays updated with the latest trends and technologies in full-stack developm entPassion for W ork: Genuine enthusiasm for coding and problem-solving, with a drive to create innovative soluti onsExtreme Ambit ion: Goal-oriented mindset with a desire to push boundaries and achieve exceptional resu ltsUnbeatable Work Et hic: Strong commitment to delivering high-quality work, meeting deadlines, and maintaining professional standa rdsStrong Comprehension Ski lls: Ability to understand complex technical concepts and translate them into practical soluti o ns Negotiable Sk illsC I/CD: Familiarity with continuous integration and continuous deployment practices to streamline development workf lowsKubern etes: Knowledge of container orchestration using Kubernetes for efficient deployment and management of microserv i ces About Techol utionTecholution is a Product Development firm on track to become one of the most admired brands in the world for "innovation d one right". Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve. With that, we are now fully committed to helping our clients build the enterprise of tomorrow by making the leap from Lab Gr ade AI to Rea l World AI.We are honored to have recently received the prestig ious Inc 500 Best In Busi ness award, a testament to our commitment to excellence. While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we s e rve. Let's explore fu rther!Uncover our unique AI accelerators wi th us:1. Enterprise LLM Studio: Our no-code DIY AI studio for enterprises. Choose an LLM, connect it to your data, and create an expert-level agent in 20 mi nut es.2. AppM od. AI: Modernizes ancient tech stacks quickly, achieving over 80% autonomy for major b ran ds!3. ComputerVisi on. AI: Our ComputerVision. AI Offers customizable Computer Vision and Audio AI models, plus DIY tools and a Real-Time Co-Pilot for human-AI collabor ati on!4. Robotics and Edge Device Fabri cation: Provides comprehensive robotics, hardware fabrication, and AI-integrated edge design ser vic es.5. RLEF AI Pl atform: Our proven Reinforcement Learning with Expert Feedback (RLEF) approach bridges Lab-Grade AI to Real-Wor ld AI.6. AI Center of Exce llence: Establishes an AI Center of Excellence to maximize AI potential an d R OI.7. Fa ceOpen: AI-powered user identification system using image recognition and deep neural networks, eliminating the need for keys, badges, or fingerprint sca n ners! Some videos you wanna watch!Computer Vision demo at The AI Summit New Yo rk 2023Life at Tech olutionGoogleNe xt 2023Ai4 - Artificial Intelligence Conferenc es 2023WaWa - Solving Food WastageSaving lives - Brooklyn H ospitalInnovation Done Right on Googl e CloudTecholution featured on Worldwide Business with Kathy IrelandTecholution presented by ION World’s G r eatest Vi sit us @www.techolu tion.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with tec h nology. I would like to speak with you personally about this op portunity.Please share me your contact details or Please send your resume to my email ID shikha.bhattacharya@techo lution.com and Please let me know the best time to talk to yo u as well.

Job Role- Civil Engineer Total Experience- 5-8 Years Qualification- B.tech Civil/ Diploma in Civil Job Location- Patna or Across Bihar Salary- As per Company Norms Ø Managing, designing, developing, creating and maintaining construction projects Ø Conducting on-site investigations and analyzing data Ø Assessing potential risks, materials and costs Ø Manage, design, develop, create and maintain small-scale through to large-scale construction projects in a safe, timely and sustainable manner Ø Carry out technical and feasibility studies and draw up blueprints that satisfy technical specifications Ø Provide advice and resolve creatively any emerging problems/deficiencies Ø Assess potential risks, materials and costs Ø Handle over the resulting structures and services for use Ø Material site inspection and approval as per TDS and BOQ specifications Ø Material tracking, Schedule tracking and mitigation. Ø Quality monitoring and validation. Ø Bill checking Ø Installation inspection and checking as per approved drawings. Ø Testing & commissioning. Ø Safety monitoring Ø Capturing all records at site including, site instruction, JMRs. drawing, delay records, Ø Issuing site progress reports Ø Foundation & Early Works Ø Conduct site investigations: drilling, soil sampling, subsoil analysis Ø Design foundations: footings, piles, caissons per soil/structural data Ø Oversee excavation, reinforcement, dewatering, concreting Ø Structural & Infrastructure Engineering Ø Prepare technical engineering drawings: foundations, roads, utilities, drainage, cross-sections Ø Use Civil3D or AutoCAD to model alignments, grading, profiles, corridors/pipe networks Ø Perform feasibility studies, cost estimation, risk analysis, and ensure permits/regulatory compliance Ø Manage construction execution: monitor schedules, budgets, and quality Ø Finishing, Testing & Handover (“Lock-Key”) Ø Supervise final finishes: utilities, road surfacing, landscaping Ø Coordinate load tests and quality assurance to confirm safety and compliance Ø Compile documentation: as-built drawings, technical reports, O&M manuals Ø Conduct handover: client walkthroughs, key control transfer, training and issuance of completion certificates Ø CAD & Drafting Expertise Ø Develop and revise detailed engineering drawings (2D/3D) using AutoCAD, Civil3D, or Revit Ø Maintain CAD standards: templates, drawings archives, updates, and version control Ø Collaborate with engineers, drafters, technicians, and design teams to ensure drawing accuracy Job Type: Full-time Pay: ₹35,000.00 - ₹40,000.00 per month Benefits: Provident Fund Schedule: Fixed shift Rotational shift Education: Bachelor's (Preferred) Experience: total: 5 years (Preferred) Work Location: In person

Company Description We suggest you enter details here. Role Description This is a full-time on-site role located in Patna for a Civil Engineer at Graphic Trades Private Limited. The Civil Engineer will be responsible for civil engineering design, planning, stormwater management, and overseeing construction projects. Ø Managing, designing, developing, creating and maintaining construction projects Ø Conducting on-site investigations and analyzing data Ø Assessing potential risks, materials and costs Ø Manage, design, develop, create and maintain small-scale through to large-scale construction projects in a safe, timely and sustainable manner Ø Carry out technical and feasibility studies and draw up blueprints that satisfy technical specifications Ø Provide advice and resolve creatively any emerging problems/deficiencies Ø Assess potential risks, materials and costs Ø Handle over the resulting structures and services for use Ø Material site inspection and approval as per TDS and BOQ specifications Ø Material tracking, Schedule tracking and mitigation. Ø Quality monitoring and validation. Ø Bill checking Ø Installation inspection and checking as per approved drawings. Ø Testing & commissioning. Ø Safety monitoring Ø Capturing all records at site including, site instruction, JMRs. drawing, delay records, Ø Issuing site progress reports Ø Foundation & Early Works Ø Conduct site investigations: drilling, soil sampling, subsoil analysis Ø Design foundations: footings, piles, caissons per soil/structural data Ø Oversee excavation, reinforcement, dewatering, concreting Ø Structural & Infrastructure Engineering Ø Prepare technical engineering drawings: foundations, roads, utilities, drainage, cross-sections Ø Use Civil3D or AutoCAD to model alignments, grading, profiles, corridors/pipe networks Ø Perform feasibility studies, cost estimation, risk analysis, and ensure permits/regulatory compliance Ø Manage construction execution: monitor schedules, budgets, and quality Ø Finishing, Testing & Handover (“Lock-Key”) Ø Supervise final finishes: utilities, road surfacing, landscaping Ø Coordinate load tests and quality assurance to confirm safety and compliance Ø Compile documentation: as-built drawings, technical reports, O&M manuals Ø Conduct handover: client walkthroughs, key control transfer, training and issuance of completion certificates Ø CAD & Drafting Expertise Ø Develop and revise detailed engineering drawings (2D/3D) using AutoCAD, Civil3D, or Revit Ø Maintain CAD standards: templates, drawings archives, updates, and version control Ø Collaborate with engineers, drafters, technicians, and design teams to ensure drawing accuracy Qualifications Civil Engineering Design and Civil Engineers skills Experience in Planning and Stormwater Management Knowledge of Civil Engineering principles Strong analytical and problem-solving skills Ability to work in a team and independently Excellent communication and project management skills Bachelor's degree in Civil Engineering or related field

About Company: Our Client is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Client 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 Client 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. Client—based in San Francisco, California—was named #1 on The Information's annual list of "Top 50 Most Promising B2B Companies," and has been profiled by Fast Company, TechCrunch, Reuters, Semafor, VentureBeat, Entrepreneur, CNBC, Forbes, and many others. Client leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, X, Stanford, Caltech, and MIT. Job Title: Ruby On Rails Location: Remote Note: Candidate should be comfortable to work for US Shifts/Night Shifts Interview Mode: Virtual (Two rounds of interviews (60 min technical + 30 min technical & cultural discussion) Client: Turing Experience: 5+ yrs Job Type : Contract to hire . Notice Period:- Immediate joiners . Experience Analyze and triage GitHub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects. Required Skills: Minimum 5+ years of overall experience Strong experience with at least one of the following languages: Ruby Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.

Description Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities Become a subject matter expert on one or more services Provide support activities for these services and regularly work with development teams to establish and improve service support Operate with guidance from management and drive issues to resolution Understand the business logic and architecture of supported services to regularly resolve undocumented trouble tickets Be able to read and understand complex application code and make approved code fixes to resolve support issues Provide mentoring, training, documentation, and tools to other Support Engineers to enable them to perform support activities Regularly contribute to the creation and improvement of all support documentation Perform code builds and deployments communicating status regularly before, during, and after each deployment Create and interpret metrics that measure support success and service performance Help develop and refine operational policies and procedures used by teams and internal customers Participate fully and constructively in the planning of team’s work Have the ability to write simple and efficient tools to improve operational efficiency Learn to contribute to design and development of support tools using software engineering best practices Mentor other Support Engineers and are involved with interviewing and onboarding new team members Basic Qualifications 3+ years of technical support experience Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent Knowledge of about AWS integration and usage Preferred Qualifications Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 12 SEZ Job ID: A3020698

SNTP Technologies is India’s first BIS-certified manufacturer of ISI Mark Rebar Couplers, offering advanced reinforcement solutions for modern infrastructure. Our couplers are used extensively in highways, metro rail, bridges, high-rise buildings, and industrial projects. Backed by ISO 9001:2015 quality systems and robust R&D, we are setting new benchmarks in construction safety and efficiency. Key Responsibilities:🔹 Client Acquisition & Business Development Identify and approach potential clients including contractors, consultants, developers, and government agencies. Conduct client presentations, share product catalogs, and highlight the advantages of SNTP ISI Mark Couplers. Generate inquiries and follow-up to conversion. Maintain a strong sales pipeline and achieve monthly sales targets. 🔹 Office & Site Coordination Act as the primary communication bridge between the office and various project sites. Coordinate with threading and coupler installation supervisors for daily site status updates. Monitor dispatches, material requirements, and ensure timely deliveries. Communicate client feedback, delivery schedules, and material readiness to all relevant departments. 🔹 Payment & Billing Coordination Follow up for advance payments and final payments from clients. Coordinate with accounts and clients for invoice generation and timely submission of bills. Maintain trackers for receivables, payment dues, and collection timelines. 🔹 Sales Reporting & Documentation Maintain CRM records of client interactions, meetings, proposals, and sales status. Share daily/weekly sales and site reports with the management. Ensure documentation of client orders, site dispatch notes, and DSRs (Daily Sales Reports). Requirements:Bachelor's degree in Business, Civil Engineering, or related field. 1–3 years of experience in construction product sales or infrastructure domain preferred. Excellent communication, negotiation, and interpersonal skills. Ability to travel locally and coordinate with site teams. Strong organizational and multitasking abilities. Proficiency in MS Office, Excel, WhatsApp, and email communication. Key Traits:Goal-driven and self-motivated Accountable and deadline-focused Collaborative with teams and site supervisors Attention to detail in documentation and follow-ups Perks & Benefits:Attractive performance-based incentives Travel allowances for client visits Exposure to major infrastructure projects across India Opportunity for growth within India’s pioneering ISI Coupler manufacturer

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... The Consultant – Training Delivery is a Trainer-of-Trainer role responsible for facilitating trainer/instructor certifications. Equip and support trainers/instructors, internal and/or external, with the knowledge, skills, and behaviors they need to be successful in delivering training solutions to learners. This role is expected to take part in trainer/instructor quality assurance processes to ensure a successful experience for learners and overall business success. Training Delivery and Preparation Training and certifying Verizon trainers and/or partner trainer/instructors to deliver successful training programs across Verizon’s broad training curriculum using a variety of learning methodologies, media, and materials across multiple functional workgroups Equipping trainers/instructors with high-level technical and functional knowledge, skills, and behavior relevant to their training program Ensuring that trainers/instructors demonstrate strong facilitation skills to deliver training effectively Infusing Verizon nuances into knowledge transition so that learning experiences are in alignment with Verizon strategy Having a learner-centered mindset in order to continuously ensure that an optimal experience is being created for learners Facilitating trainer/instructor certifications as scheduled Providing trainers/instructors with continuous coaching and reinforcement for learning journey objectives Working with Verizon instructional designers on to ensure that certification documentation (e.g., Learning Album Leader Guides, supporting collateral) are effective for trainers/instructors Consulting Managing and supporting strategic relationships with local Verizon channel leaders (internal) and/or Partner site leaders (external) Providing feedback and guidance to trainers/instructors and their leaders to ensure Verizon expectations are met Observing and rating trainers/instructors to ensure trainers/instructors meet Verizon Standards; provide “get well” recommendations and reskilling for those who fall below Verizon Standards Evaluating training effectiveness; report outcomes and recommendations to leadership (internal and partners) Identifying and initiating continuous improvement actions to enhance outcomes for learners including recommending enhancements/changes to Verizon instructional design, recommending and delivering upskilling/reskilling for trainers/instructors, working with partner L&D teams on location specific-nuances (e.g., learning content, learning design, and learning plan flow) Partnering with Verizon and Partner instructional design and delivery teams on design, delivery and evaluation of trials/pilots to meet unique partner business needs Representing GL&D in Audits associated with external partners and/or general Verizon compliance / operating guidelines; assume responsibility for any L&D related action items Aligning and supporting all partner SOW requirements which include operating guidelines and compliance What We’re Looking For... You’ll need to have: Bachelor's degree or four or more years of work experience. Three or more years of relevant work experience. Three or more years of experience delivering training to adults. Willingness to travel domestically and internationally up to 50-75% of the time. Willingness to work a flexible shift based upon business need, including USA based working hours. Even better if you have one or more of the following: A Masters Degree Excellent training facilitation skills. Experience leading Training Certifications. Demonstrated ability to be flexible and adaptable to changing needs and circumstances. Wireless Communications experience. BPO Management/Training experience. Curriculum Design experience Project/program management experience Supervisory experience. Experience with Google Suite and Smartsheets. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

Job title: Manager - Certified Global Customer-Engagement Platform Adult Learning Specialists Location: Hyderabad About The Job Strategic context: Sanofi has currently the best and most robust pipeline of R&D and consequent new launches of our history. As new phase of Play-To-Win strategy, funding this pipeline and new launches is key to materialize the miracles of the science to improve people lives. Thus, as we enter the next phase, modernization of Sanofi is required as per the recent announcements on DRIVE, and in this respect, we are in the beginning stages of organizing the Go-to-Market Capabilities (GTMC) team at global level. The GTMC organization will help us to drive best-in-class capabilities across the board and bring value and excellence in our commercial operations. This move is a key part of the aimed modernization of Sanofi and will allow us to focus on our priorities across our products, market and pipeline through the reallocation of resources and realizing the efficiencies of removing silos that exist between our business units, avoiding the duplication and overlapping of resources, standardizing our processes and tools, operating with a One Sanofi approach to accelerate our key capabilities development, and fostering the entrepreneurial spirit by speeding up the decision making. Customer Facing CRM & Platforms Team Aims For Centralize Go-to-Market excellence and operational tasks across Global Business Units (GBUs), Standardize best-in-class capabilities with strengthened global support while verticalization of reporting within GTMC from local to global, Define clear ways of working and bringing clarity on interfaces with GBUs, Digital, and executional support on commercial operations from Sanofi hubs to optimize process excellence and efficiency. The Sanofi Global CRM organization is looking for an Adult Learning Specialist, certified as trainer for the digital platforms “VEEVA CRM”, “Veeva 4M” and “VEEVA ALIGN” for all user roles (front and back-office). Required Creating a positive learning environment is essential to learner adoption. The incumbent is required to design and deliver learning offerings that are role- and business-specific. The incumbent must set realistic and measurable learning targets. The learning program has to focus on both, the learner’s mindset and skillset development. The scope is: Refresh existing users’ knowledge through appropriate training Upgrade existing self-learning resources (videos, guides, e-learns, FAQ) and evolve capability to create new later on Main Responsibilities 50% - Train existing certified front-line staff (customer-facing sales, medical and home office marketing and medical) for continuous improvement in the usage of VEEVA CRM and VEEVA 4M. Train existing certified VEEVA Administrators on Veeva CRM BACK-OFFICE and VEEVA ALIGN capabilities. The goal is to foster an adoption and collaboration mindset besides the technical digital usage capabilities. Format: Designing and leading online group trainings (in English and in the Asian languages), conducting business case-based role-plays with the learners. Join the quarterly check-ins with line managers to present the next quarter reinforcement training plan for their teams and identify, design and align further reinforcement learning action plans for subsequent execution that arise from the quarterly Middle Manager sessions. Measure attendance and effectiveness via participant feedback survey and share with the Global OneCRM organization. Build plans to close identified knowledge and adoption gaps and define implementation plans. The languages for sessions have to be ensured in English and in the Asian languages. For all European languages the zoom sessions need to be set-up in activating the zoom AI translation tool. 40% - Self-learning Content Management: Update existing self-learning content for the platforms needed due to planned platform upgrades. To do so, participate in the Governance to gain first-hand information on planned platform upgrades and changes. Update the FAQ on a quarterly basis in close collaboration with the UAT team and in reviewing the UAT system for these changes to take screenshots and build suitable self-learning resources reflecting business cases Manage the global training SharePoint with the new and updated monthly self-learn content. Organize monthly market sessions with the local learning counterparts to present content evolution plans as well as sharing the new/updated deliverables, ensuring that markets promptly localize, translate and cascade. Ensure markets update their local training share points which are market users go-to place. According to the global governance the provided English global core materials have to be loaded immediately and subsequently replaced by locally adapted and translated materials within one month. Track regularly that markets promote the local training sharepoint monthly and all local users know where to find their locally adapted and translated self-learning content. With evolving capabilities, the activity may include the monthly built of new self-learning content for the above-mentioned VEEVA platforms. 10% Team supervision and development. About You. Work Experience: Bachelor's degree and 7+ years' experience as an adult trainer responsible for digital usage capabilities and mindset development. Experience in organizational and behavioral change management. Experience in researching, creating, delivering, and tracking business and results-oriented digital adult learning programs. Experience in blended learning strategies. Proven delivery of outstanding results. Ability to lead change while achieving business goals and objectives, act for change, challenging continuously the status quote, High persistency and resilience. Soft and Technical skills : Excellent project management skills ,Potential to evolve to a trainer with wider capabilities later on that will also comprise new hire training and new content development to use these platforms and develop an adoption mindset Proficient in PPT and Excel , Articulate content design tool experience Excellent verbal and written communication, Attention to detail is key, as content is highly visible within the organization , A learning and listening mindset Strategic analysis and planning, project management, excellent English language knowledge and skills (written and oral), IT knowledge and skills, proven impactful communication, presentation, persuasion, skills ability to work cross-functionally. Certified as trainer for the digital platforms “VEEVA CRM”, “Veeva 4M” and “VEEVA ALIGN” for all user roles (front and back-office).Ability to conduct research internally, to deliver content as needed, Business: Numerate and analytical skills; Ability to prioritize; Robust knowledge in Digital, IT and CRM; Financial acumen; Over achievement against set objectives; Ability to work on their own initiative and make quality decisions; Excellent interpersonal skills to communicate, present, persuade and argument among all GBUs teams and partners. Leadership: Leads by example and walks the talk; Role models Play-To-Win principles and behaviors: Engages others through active and impactful communication; Demonstrates a high level drive, passion and ambition for high performance; Challenges continuously the status quo; Develops fresh approaches in order to deliver results; Has well-developed time management skills, mastering in prioritizing tasks and planning own workloads to ensure deadlines and desired results are met. Networking: Is a strong relationship builder; Seeks out new opportunities; Demonstrates teamworking and shares best practices always; Has experience of successfully leading projects in multicultural environments and in a matrix organization. Education: Graduate/Postgraduate or Advanced degree in areas such as Management/Statistics/Decision Sciences/Engineering/Life Sciences/Business Analytics or related field (e.g., PhD / MBA / Masters) Languages: Excellent knowledge in English and strong communication skills – written and spoken Personal Characteristics Hands-on, accountability, creativity, initiative, high persistence and resilience, stress management, learning agility, result orientation, ability to work on one’s own, continuous improvement, listening skills, empathy to understand the needs of the different businesses within distinct geographies. Why chose 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 and at least 14 weeks’ gender-neutral parental leave. Play an instrumental part in creating best practice within our Go-to-Market Capabilities. null

Thornton Tomasetti applies engineering and scientific principles to solve the world’s challenges. An independent organization of creative thinkers and innovative doers collaborating from offices worldwide, our mission is to bring our clients' ideas to life and, in the process, lay the groundwork for a better, more resilient future. We provide support and opportunities to our employees to achieve their full potential and cultivate a rewarding career. Our Structural Engineering practice collaborates with architects, building owners, and builders to design elegant solutions for projects of all types, sizes, and levels of complexity. From designing the world’s tallest buildings and most extended spans to engineering inventive “jewel-box” structures and designing major expansion projects, we continually seek the best balance among the demands of form, function, sustainability, constructability, schedule, and budget. The Role We have an opportunity for a Site Engineer to join our Structural Practice. Candidates for the Site Engineer position should have 3 to 7 years' work experience in reinforcement checking, mivan or aluminum shuttering, formwork checking, concrete pour, and placement checking. Responsibilities Capability in reading and interpreting drawings. Reinforcement detailing knowledge of both IS456 and ACI 318. Special seismic detailing experience. 3 to 7 years' work experience in reinforcement checking, mivan or aluminum shuttering, formwork checking, concrete pour, and placement checking. Coordination of design work with our clients and other design professionals including Architects and other Engineering disciplines. Preparation of construction documents within a BIM environment. Capability of calculating structural quantities from drawings. Requirements Bachelor’s degree in Civil Engineering. Working knowledge of current industry software, including but not limited to Revit, AutoCAD, MS office. Lives in Gurugram area of NCR. Ability and willingness to travel to TT's India offices when required. Willingness to work at the site office in Gurugram provided by the client. Thornton Tomasetti is proud to be an equal employment workplace. Individuals seeking employment at Thornton Tomasetti are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. Thornton Tomasetti Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Thornton Tomasetti are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms. Beware Of Recruitment Fraud: Scammers may attempt to impersonate Thornton Tomasetti. Messages from our firm come only from the ThorntonTomasetti.com domain, Thornton Tomasetti does not use any third-party recruiters. When in doubt, please contact us through our web form here and see how you can protect yourself online here.

Minimum of (3+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Proficiency in Python with the ability to get hands-on with coding at a deep level. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Enthusiasm for continuous learning and professional developement in AI and leated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Familiarity with data pre-processing techniques and pipeline development for Al model training. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions.

Position Summary We are looking for you - The, Performance Marketing Director has ultimate accountability for the effectiveness of the entire Performance Marketing team. As a performance media expert, this person will have expertise in an array of addressable paid advertising strategies that utilizes tech based buying and optimization tools to positively affect our client’s ROI including search, display, social, mobile, local, Ecom and video. This role will have an increasing focus on Demand Generation and Response Management as our clients look to monetize online. This person should also understand the interplay and synergy between traditional and digital media and have the ability to build and scale an integrated team of performance practitioners. The Director is responsible for leading the Execution teams of a large enterprise client’s performance marketing accounts towards stated client and company objectives. The Director will manage and direct Performance Media teams, including Group Heads, Operations Supervisors, Senior Manager, Manager and Executives. Proven account management and team leadership experience is essential, along with experience in online marketing and digital media. Account Management Develops, manages, and monitors client service delivery executions of the assigned accounts Oversees process development and execution management Assures quality control of all media planning and implementation Enforces Best Practices Prepares and presents annual financial plans and human resources plans Performance Media Implements Planning Process for the assigned accounts and holistic media planning across all digital disciplines paid search, display, social, native, video and Ecom Coordinates efforts across different digital media channels to drive optimized recommendations Continuously evaluate and improve upon all digital media opportunities Attend to client meetings as needed, interface as needed with executive level and middle management level on client side during meetings and presentations Participates in building and evolving the PM practice, vision and areas of expertise Understands and expands business prospects by having a thorough understanding of all the services provided by the agency. Team Leadership & Development Embraces and encourages a culture based on team work, collaboration, and intellectual curiosity Motivates, leads, and manages internal teams, working collaboratively to drive programs that meet our clients’ performance and business objectives Drives adoption of stated account management best practices through example setting, positive reinforcement and behavioural correction Assists in interviewing, hiring, training, mentoring, developing, and evaluating team members Conducts performance reviews and career path plans for direct reports Provide training in cross media planning to their direct reports and bellow teams Skills Ability to forecast expected outcomes of Brand and ROI campaigns and manage spend accordingly Proven expertise with relevant platform tools (DoubleClick Bid Manager, Google AdWords tools, Facebook tools etc.), Media Research Tools (ComScore, GWI, TGI etc.) Strong written and verbal communication skills Strong organizational skills, detail-oriented and capable of multi-tasking Superb client relationship and management skills Proven problem solving skills and ability to think outside of the box Detail oriented and responsive, deadline-driven with strong quantitative reasoning skills Provide timely and actionable feedback to the team to aid in their development and improvement Qualifications Education: Graduate/ Post Graduate Degree or related work experience Concentration in Marketing, Finance, Digital Media, Accounting, or related field preferred Google and Facebook Blueprint Certified Professional Extreme attention to detail with the ability to prioritize and execute in a fast-paced environment What You Can Expect From Interactive Avenues Interactive Avenue’s vision is to make advertising more insightful to the brands. We do this by employing the world’s very best talent to solve some of the toughest challenges of today’s digital marketing landscape. It’s important that we hire people whose values reflect those of our own: genuine, results-focused, daring and insightful. As an Interactive Avenues employee, we promise you a workplace that invests in your career, cares for you and is fun and engaging. We believe these factors create a workplace where you can be yourself and do amazing work.

Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future? If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match. What You Will Do You will work in agile teams through good collaboration with our colleagues in Technology development all around the world. You will lead the team and be responsible for understanding customer usage and performance of our products as well as understand needs of our internal data consumers for providing solutions throughout entire product life cycle, from idea investigation and concept evaluation to industrialization and to aftermarket and maintenance. You will extract insights, make meaningful interpretations, recommendations and eventually predictions from the Data available from various sources to support our endeavour in moving towards Data Driven Powertrain Development. You will work on all aspects of Data by combining techniques in Data Engineering, Data Analytics and Data Science. You will have the opportunity to analyse and solve real world problems with state-of-the-art techniques like Advanced Analytics, Natural Language Processing (NLP), Machine Learning, and Generative AI on the base of strong statistical knowledge. You get the opportunity to follow your Data Driven Models from script to test cell to verification in a truck and eventually to being used by our end customers. We have an agile way of working, where each team plan their activities in sprints and deliver solutions together as a team. We strive to have an open and honest environment within the teams, where it is easy to ask each other for support when needed. The tasks can be either part of a larger project or short tasks to improve products currently in production. You will get the opportunity to interact with highly committed colleagues from different cultures. You will keep strong communication with project managers, software developers, calibration, simulation and test engineers. We hope you will learn as much from us as we will from you. Who are you? We believe that to be successful in this position, you are a team player, have strong experience in Statistics, Data analytics, machine learning, generative AI and a will to deliver with effective communication techniques (Data story telling). You have a Passion and have demonstrated success in Leading a Team competent in solving real world problems with Data. You must have a proven experience in Data modelling – Regression, Clustering, Neural Networks, Time series etc. and should have used them in solving real-life challenges (prediction, automation, real time optimization etc). You have a strong competence in Presenting Insights gained from Data Analytics through Visualization tools like Power BI. You have a willingness to learn and take more responsibility with can-do attitude. You will be greatly appreciated in this role if you have demonstrated Predictive analysis and decision-making using Data. If you are a Master’s Degree holder in Mechanical/Automobile/Electronics/Mechatronics Engineering with fantastic analytical skills, have gained a strong domain understanding in Powertrain Engineering (or Automotive Industry) with proven skills in handling and analysing large set of data to make meaningful interpretations and if you believe that you can work smoothly with Python ( including libraries like NumPy, SciPy, Pandas, TensorFlow) , R, SQL, Git, Azure, Hadoop then you can be a good fit into this role. You also have strong experience in applying machine learning methods like supervised, unsupervised and reinforcement learning. Experience of working with relational databases, data privacy and understanding of IOT based instrumentation design with additional data logging to build or validate models is a big plus. A passion for turning data into knowledge with great visualizations and an experience of working with plant/ component models, and integration of these models into SIL/MIL/HIL evaluations would be an icing on the cake. What’s in it for you? At Volvo Group Trucks Technology - Powertrain Engineering, we have a big emphasis on how Data should Drive our Future Developments in Technology and Engineering. We are currently looking for a Senior Data Scientist who can helps us to accelerate in our journey. Do you want to be part of a team where you get the chance to contribute to a better environment and sustainable future through Data Driven Decision making? Good, we are ready for you! Ready for the next move? If you are curious to explore how we put our words into actions, follow us on LinkedIn and volvogroup.com. Are you excited to bring your skills and disruptive ideas to the table? We can’t wait to hear from you. Apply today! We value your data privacy and therefore do not accept applications via mail. Who We Are And What We Believe In We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group’s leading brands and entities. Applying to this job offers you the opportunity to join Volvo Group . Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment. Group Trucks Technology are seeking talents to help design sustainable transportation solutions for the future. As part of our team, you’ll help us by engineering exciting next-gen technologies and contribute to projects that determine new, sustainable solutions. Bring your love of developing systems, working collaboratively, and your advanced skills to a place where you can make an impact. Join our design shift that leaves society in good shape for the next generation.

About Us Systango Technologies Limited (NSE: SYSTANGO) is a digital engineering company that offers enterprise-class IT and product engineering services to different size organizations. At Systango, we have a culture of efficiency - we use the best-in-breed technologies to commit quality at speed and world-class support to address critical business challenges. We leverage Gen AI, AI/Machine Learning and Blockchain to unlock the next stage of digitalization for traditional businesses. Our handpicked team is adept at web & enterprise development, mobile apps, QA and DevOps. Ulster University, Sila, Cuentas, Youtility, Porsche, MGM Grand, Deloitte, Grindr, and Tawk.to are some of the top clients that have entrusted us to enhance their digital capabilities and build disruptive innovations. We believe in making the impossible, Possible and we do it literally. About The Role We are looking for a highly skilled and experienced AI/ML Lead with deep technical expertise in machine learning, deep learning, and Generative AI. The ideal candidate will have a strong programming foundation in Python and hands-on experience with modern ML/DL frameworks, version control systems, and data pipeline tools. This role requires both individual contribution and leadership in driving AI initiatives, while effectively communicating with cross-functional teams and stakeholders. Key Responsibilities Lead the design, development, and deployment of ML/DL models for real-world applications. Apply advanced techniques such as ensemble learning, transformers, GANs, LSTMs, and reinforcement learning. Work across diverse domains like NLP, computer vision, or recommendation systems based on project needs. Build scalable APIs and services using Flask, Django, or FastAPI. Collaborate with data engineering teams to ensure data readiness for model training and evaluation. Evaluate and fine-tune models using techniques like cross-validation, hyperparameter tuning, and performance metrics. Drive GenAI adoption by leveraging LLM APIs for inference and contribute to LLM training and deployment (if applicable). Document solution architecture, workflows, and technical implementation details clearly. Mentor junior engineers and collaborate with product managers, data scientists, and other technical teams. Required Skills & Qualifications 6–9 years of hands-on experience in AI/ML and deep learning. Strong programming skills in Python and good understanding of object-oriented programming. Deep knowledge of neural networks including GANs, transformers, LSTMs, etc. Proficient in scikit-learn, pandas, NumPy, and frameworks like TensorFlow-Keras or PyTorch. Experience with version control tools such as Git and GitHub. Solid skills in data visualization tools like Matplotlib, Seaborn, or similar. Familiarity with SQL and NoSQL databases. Experience building RESTful APIs using Django, Flask, or FastAPI. Hands-on experience with GenAI models, especially using LLM APIs for inference. Good understanding of model evaluation techniques and performance metrics. Outstanding verbal and written communication skills, with the ability to clearly articulate complex technical topics. Preferred Qualifications Exposure to LLM training and deployment workflows. Experience with Big Data technologies such as Hadoop, Spark, etc. Certifications in AI/ML or cloud-based AI platforms (AWS, GCP, Azure). Experience in MLOps tools like MLflow, Kubeflow, or Weights & Biases (nice to have). Why Join Us? Be part of cutting-edge AI and GenAI product development. Work in a collaborative and innovation-driven environment. Lead high-impact projects with global exposure. Excellent growth opportunities and performance-driven culture.

Senior AI Engineer Thiruvananthapuram Office, AEDGE AICC India Pvt Ltd About the Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere . About the role At Armada, we are unlocking the limitless potential of AI to transform operations and improve lives in some of the most remote locations on Earth. From the expansive mines of Australia to the oil fields of Northern Canada, and the coffee plantations of Colombia, Armada offers a unique opportunity to tackle exciting AI and ML challenges on a global scale. We are actively seeking passionate AI Engineers with hands-on expertise across a range of domains, including real-time computer vision, statistical machine learning, natural language processing, transformers, control and navigation, reinforcement learning, and large-scale distributed AI systems. Ideal candidates will possess strong skills in machine learning (ML), deep learning (DL), Large Language Models (LLM) and agentic systems. You will be responsible for building ML/DL models tailored to specific challenges, preparing datasets for testing, evaluating model performance, and deploying solutions in production environments. Familiarity with containerization, micro-services architecture, and the ability to independently deploy ML models into production is essential. If you are a self-driven individual with a passion for cutting-edge AI, we want to hear from you. Armada offers an unparalleled opportunity to confront some of the most thrilling AI and ML challenges in the world. Join our dynamic AI Engineering team as we deliver disruptive systems capable of autonomous learning, prediction, and adaptation using vast, real-time datasets. Location. This role is office-based at our Trivandrum, Kerala office. What You'll Do (Key Responsibilities) Translating business requirements into requirements for AI/ML models. Preparing data to train and evaluate AI/ML/DL models. Building AI/ML/DL models by applying state-of-the-art algorithms, especially transformers. Adopt or invent new ML, analytical and causal modeling techniques for solving disparate customer problems. Testing, evaluating the AI/ML/DL models, benchmarking their quality, and publishing the models, data sets, and evaluations. Deploying the models in production by containerizing the models. Working with customers and internal employees to refine the quality of the models. Establishing continuous learning pipelines for models with online learning or transfer learning. Building and deploying containerized applications on the cloud or on-premise environments Required Qualifications BS or MS degree in computer science, computational. science/engineering, or related technical field (or equivalent experience). 8+ years of work-related experience in software development with good Python, Java, and/or C/C++ programming skills. Familiarity with containers, numeric libraries, modular software design. Hands-on expertise with traditional statistical machine learning techniques as well as deep-learning modeling. Expertise in supervised, unsupervised, and transfer learning techniques. Hands-on expertise in machine learning techniques and algorithms with a strong background in state-of-the-art DNN architectures and experience in developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow, etc). Experience with solving and using machine learning for real-world problems. Preferred Experience and Skills Demonstrable experience in building, programming, and integrating software and hardware for autonomous or robotic systems. Proven experience producing computationally e icient software to meet real-time requirements. Background with container platforms such as Kubernetes. Strong analytical skills with a bias for action. Background in causal analysis and modeling Strong time-management and organization skills to thrive in a fast-paced, dynamic environment. Solid written and oral communications skills. Good teamwork and interpersonal skills. Compensation & Benefits For India-based candidates: We offer a competitive base salary along with equity options, providing an opportunity to share in the success and growth of Armada. #LI-JV1 #LI-Onsite You're a Great Fit if You're A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.

About ValGenesis ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.youtube.com/watch?v=tASq7Ld0JsQ About the Role: We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team to build the next gen applications for our global customers. If you are a technology enthusiast and highly passionate, we are eager to discuss with you about the potential role. Responsibilities: Implement, and deploy Machine Learning solutions to solve complex problems and deliver real business value, i.e. revenue, engagement, and customer satisfaction. Collaborate with data product managers, software engineers and SMEs to identify AI/ML opportunities for improving process efficiency. Develop production-grade ML models to enhance customer experience, content recommendation, content generation, and predictive analysis. Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation. Stay up to date with the latest in machine learning and artificial intelligence and influence AI/ML for the Life science industry. Responsibilities 4 - 8 years of experience in AI/ML engineering, with a track record of handling increasingly complex projects. Strong programming skills in Python, Rust. Experience with Pandas, NumPy, SciPy, OpenCV (for image processing) Experience with ML frameworks, such as scikit-learn, Tensorflow, PyTorch. Experience with GenAI tools, such as Langchain, LlamaIndex, and open-source Vector DBs. Experience with one or more Graph DBs - Neo4J, ArangoDB Experience with MLOps platforms, such as Kubeflow or MLFlow. Expertise in one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models. Expertise in building, deploying, measuring, and maintaining machine learning models to address real-world problems. Thorough understanding of software product development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices. Excellent written and verbal communication skills and interpersonal skills. Advanced degree in Computer Science, Machine Learning or related field. We’re on a Mission In 2005, we disrupted the life sciences industry by introducing the world’s first digital validation lifecycle management system. ValGenesis VLMS® revolutionized compliance-based corporate validation activities and has remained the industry standard. Today, we continue to push the boundaries of innovation ― enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations. The Team You’ll Join Our customers’ success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity’s quality of life, and we honor that mission. We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done. We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward. We’re in it to win it. We’re on a path to becoming the number one intelligent validation platform in the market, and we won’t settle for anything less than being a market leader. How We Work Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company. ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.

Job Description Job Summary: As a Machine Learning Engineer, you'll be at the forefront of innovation, working closely with our experienced AI/ML developers to craft cutting-edge solutions across diverse business domains. Roles and Responsibilities: Rapidly experiment with various AI/ML models and optimization techniques. Collaborate with our AI experts to develop machine learning models using Python, TensorFlow, and other AI libraries. Lead training, mentoring, and evaluation initiatives in the captivating field of AI. Explore advanced techniques like deep learning, NLP, reinforcement learning, and GANs to solve complex challenges. Engage in agile project management and ensure project milestones are met. Mentor and guide junior team members in their AIML journey. Maintain comprehensive documentation for AIML models and best practices. Organize knowledge-sharing sessions and workshops to spread AI insights within the team and the organization. Stay updated with the latest AI and ML research, trends, and best practices. Location: Hyderabad (Onsite)/Remote Requirements Qualifications: Bachelor’s or Master’s degree in computer science, mathematics, statistics, or a related field. Skills: Strong Python programming skills and proficiency in statistics. Experience with AIML algorithms, frameworks, and libraries (e.g., TensorFlow, PyTorch, sci-kit-learn, Object Detection, NLP). Familiarity with data analysis, preprocessing, and visualization. Proficiency in Python web frameworks (Django, Flask, or FastAPI) for web development. Strong problem-solving abilities and innovative thinking. Excellent communication skills and a collaborative mindset. Experience with cloud computing platforms (AWS, IBM, Azure) is a plus

About ValGenesis ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.youtube.com/watch?v=tASq7Ld0JsQ About the Role: We are seeking an entry level AI/ML Engineer to join our dynamic team to build the next gen applications for our global customers. If you are a technology enthusiast and highly passionate, we are eager to discuss with you about the potential role. Responsibilities: Assist in developing AI-driven solutions using LLMs and RAG (Retrieval-Augmented Generation). Integrating APIs like OpenAI or LLama. Support the design and testing of AI-enhanced workflows. Implement database interactions (MySQL or PostgreSQL for structured data). Write and optimize Python/Node.js scripts for the applications. Assist in developing production-grade ML models to enhance customer experience, content recommendation, content generation. Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation. Stay up to date with the latest in machine learning and artificial intelligence and influence AI/ML for the Life science industry. Requirements 1 - 3 years of experience in AI/ML engineering. Strong programming skills in Python (FastAPI, Flask) or Node.js. Exposure to NLP, LLMs, AI APIs (ChatGPT, Perplexity.ai, LangChain, LlamaIndex). Familiarity with RESTful APIs and Graph Databases (Neo4j, ArangoDB). Basic understanding of cloud platforms (AWS, Azure, GCP). Passion for AI, NLP, and chatbot development. Familiarity with MLOps platforms, such as Kubeflow or MLFlow. Familiarity with one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models. Bonus: Knowledge of UI frameworks (React, Next.js). Good to have – Qdrant or equivalent vector databases. Excellent written and verbal communication skills and interpersonal skills. Advanced degree in Computer Science, Machine Learning or related field. We’re on a Mission In 2005, we disrupted the life sciences industry by introducing the world’s first digital validation lifecycle management system. ValGenesis VLMS® revolutionized compliance-based corporate validation activities and has remained the industry standard. Today, we continue to push the boundaries of innovation ― enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations. The Team You’ll Join Our customers’ success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity’s quality of life, and we honor that mission. We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done. We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward. We’re in it to win it. We’re on a path to becoming the number one intelligent validation platform in the market, and we won’t settle for anything less than being a market leader. How We Work Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company. ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.

Location: Gurugram, Haryana Time type: Full time Job level: Senior Associate Job type: Regular Category: Risk Consulting ID: JR113579 About us We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, inclusive culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM. The RSM USI supports RSM U.S. risk consulting, transaction advisory, technical accounting, financial consulting, technology, and management consulting, tax, and assurance engagement teams by providing access to highly skilled professionals for repeatable business processes over an extended business day. USI is a member of RSM International, the sixth largest global network of independent accounting, tax, and consulting firms. RSM’s vision is to be the first-choice advisor to middle market leaders globally. You will work directly with clients, key decision makers and business owners across various industries and geographies to deliver a top-quality client experience. RSM is a diverse and inclusive place where you will work as part of a team while being valued as an individual, mentored as a future leader, and recognized for your accomplishments. Risk Consulting helps clients across various industries by addressing the increasingly complex strategic, operational, compliance, and governance challenges faced by those responsible for managing or overseeing dynamic businesses. Risk Consulting major offerings includes AML & Regulatory Compliance; ERP Advisory; Automation and Analytics; Enterprise Risk Management; Internal Audit; SOX Advisory; Contract Compliance; Credit Reviews; Information & Technology Audits; Cybersecurity risk management; Third-party risk management; IT due diligence; SOC1 / SOC2; Security and Privacy Risk; Governance Risk and Compliance; PCI; Cyber Transformation; Manage Security Services; Secure Architecture Solutions; Cyber Testing; Digital Forensics and Incident Response; and Cyber Threat Intelligence. Position Summary Are you a Microsoft D365/ AX administrator and/or functional implementer looking for a career change? RSM has an exceptional career opportunity for a D365/ AX risk consultant to join our Risk Advisory Services (RAS) practice, as part of our ERP, Analytics and Continuity Risk team due to the rapid growth we are experiencing. The D365/ AX consultant will be responsible for either performing or supervising D365/ AX related risk services for both the Assurance and Advisory practices of the firm; including sensitive access and segregation of duties assessments, rule design and configuration of D365/ AX tools utilized by RSM, as well as using functional expertise supporting our automated application control audits. Additional responsibilities may include performing risk assessments over D365/ AX implementations, upon completion of the assessments, you may be asked to help educate clients on how to resolve D365/ AX issues. The D365/ AX risk consultant may be expected to manage non- D365/ AX engagements at times across the firm; with other ERP champion SME's. Our consultants provide advice to CEO's, CFO's, CRO's, CIO's, CISO's and Boards of Directors on how to understand and adhere to changing regulatory compliance requirements. Our in-depth industry experience and collaborative approach assures our clients have solutions that help them minimize risk while maximizing opportunities for growth. Specific Duties and Responsibilities: Provide subject matter expertise for RSM's D365/ AX related risk activities; such as D365/ AX security, D365/ AX segregation of duties, D365/ AX business automated controls, D365/ AX implementation risk assessments and D365/ AX Utilize data analytics to perform tests of operating effectiveness and effectively communicate recommendations to clients for improvements related to D365/ AX risk, security, and controls Provide our clients with the power of being understood by delivering solutions that address their specific D365/ AX ERP needs in a meaningful way and with a value driven approach Perform or supervise non- D365/ AX IT risk related engagements such as IT audits, IT risk assessments, segregation of duties assessments, etc. Assist with D365/ AX related business development activities and market research, responding to RFPs, networking via local chapters of IIA, ISACA and other events, as well as attending sales meetings with our prospective clients Knowledge of D365/ AX segregation of duties tools such as Fastpath is a plus Provide on-the-job or internal conference D365/ AX security risk & controls training to the staff Ability to identify and escalate engagement risk issues internally While we manage most of our engagements remotely, flexibility to travel nationally, and overnight depending on client locations might be needed. Preferred qualifications Bachelor’s or master’s Degree in business, accounting or related discipline Minimum of 3 -5 years of experience in D365/ AXs Demonstrated knowledge either D365/ AX application security or D365/ AX functional configuration for supporting the implementations of D365/ AX business process requirements. Experience on at least 2 D365/ AX implementations Auditing experience is a plus, but is not a requirement for this position. Candidate must demonstrate a willingness to learn how to perform a risk assessment or audit, and be willing to obtain a CISA (Certified Information Security Auditor) certification in the future Clear & effective communication skills is required Ability to understand what to communicate to difference audiences High organized with the ability to monitor engagement time and expenses Provide client status updates, review deliverables, maintain updates with the engagement consultant timely and communicate client opportunities Provides positive reinforcement and leadership to staff Excellent organizational skills and the ability to prioritize multiple tasks, projects and assignments Possess strong business ethics and willingness to adhere to stringent professional standards Ability to put forth additional effort to meet deadlines when necessary At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life’s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmus.com/careers/india.html. RSM does not tolerate discrimination and/or harassment based on race; colour; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender (including gender identity and/or gender expression); sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the Indian Armed Forces; Indian Armed Forces Veterans, and Indian Armed Forces Personnel status; pre-disposing genetic characteristics or any other characteristic protected under applicable provincial employment legislation. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please send us an email at careers@rsmus.com.

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Data Scientist II - Analytics At Expedia Group, our mission is to power global travel for everyone, everywhere. If you're passionate about creating exceptional customer experiences and thrive in a collaborative, fast-paced, high-growth environment, you’ll love being part of Expedia Group’s InsurTech team. In InsurTech, we empower travelers around the world with confidence to book, peace of mind, and protection when the unexpected happens—through an innovative portfolio of customer-centric, risk-based products. We’re looking for an exceptional Data Scientist II, Analytics to join our team. If you have a strong analytical mindset, a strategic approach, and a bias for action, this is your opportunity to make a real impact. In this role, you’ll collaborate closely with product partners to optimize and launch best-in-class insurance and FinTech products. This is an exciting opportunity to join a dynamic, international team where data is at the heart of every decision, and customer centricity drives everything we do. What you will do: Collaborate with product teams to harness data from diverse sources—uncovering new product opportunities or identifying friction points in existing experiences. Translate insights into actionable strategies that drive product innovation and enhancement. Design and execute A/B tests to rigorously evaluate product performance and feature improvements. Quantify outcomes into clear financial impact, and perform in-depth analysis to extract insights that inform the next iteration of development. Define, track, and visualize key metrics through intuitive dashboards to enable real-time business monitoring. Proactively surface metric shifts and conduct root-cause analyses to identify underlying drivers. Deliver impactful product and customer insights to cross-functional stakeholders, empowering leadership and product teams to make informed, data-driven decisions. Support product roadmap planning and go-to-market (GTM) strategy by providing analytical guidance and strategic recommendations that align with business objectives and customer needs. Who you are: Must Have: Educational Background : Bachelor’s degree (or equivalent) in Statistics, Mathematics, Economics, Data Science, or a related field. Experience : 2+ years of analytics experience with a focus on product analytics and measurements. Technical Expertise : Strong proficiency in big data tools (SQL, Python, Databricks, AWS, etc.) for working with large, complex datasets. Cross-functional Collaboration : Proven track record of collaborating with teams across Product, Finance, and other departments to integrate data insights into business strategies. Problem-Solving & General Management : Strong analytical, problem-solving, and leadership skills to manage complex initiatives and cross-functional relationships. Good to Have: Advanced Analytical Skills : Expertise in experimentation, causal inference, and advanced analytics, including the ability to dive deeper into A/B test data beyond statistical significance. Economic Modeling : Knowledge of economic modeling techniques such as price elasticity and time series analysis is beneficial. Multivariate Analysis : Familiarity with regression, classification, and other multivariate analysis methods. Machine Learning Models : Exposure to machine learning models such as recommendations, multi-armed bandit algorithms, or reinforcement learning Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age. India - Haryana - Gurgaon Technology Full-Time Regular 06/26/2025 ID # R-96322

About Sitare Foundation: Sitare Foundation, founded by Shilpa and Amit Singhal, believes in the power of education and the impact it can have on the lives of people. In today’s world, good education is not always accessible to the underprivileged in our society. There is tremendous potential and talent in these children, all they need is access to good education. We believe in finding the brightest and most intellectually gifted underprivileged children from across India, and providing them with a great education. The challenge of educating underprivileged children is daunting, but that does not and will never deter us. We are taking a scientific, step-by-step approach to impact lives, families, and societies through education. We aim to educate 50,000 students by 2050. We know that after going through our seven-year program, our students will shine like Sitare, and inspire millions in their own communities. Job Overview: We are seeking a dynamic and dedicated English Teacher to join our residential academic team for Grades 9 and 10 under the CBSE curriculum. The ideal candidate must have a strong foundation in English Language and Literature, be technologically proficient, and work collaboratively with colleagues to ensure high-quality teaching and learning. The teacher will be responsible for lesson planning, assessments, worksheet creation, and fostering a healthy residential environment that promotes students' academic and personal growth. Key Responsibilities: Academic Duties: Deliver engaging and interactive English lessons aligned with the CBSE curriculum for Grades 9 and 10. Prepare detailed lesson plans with clear objectives, differentiated strategies, and effective use of teaching aids. Design and administer formative and summative assessments based on CBSE exam patterns. Create and assign customized worksheets, practice tasks, and reinforcement activities tailored to student needs. Use technology tools (smart boards, educational apps, LMS platforms) to enhance teaching effectiveness and student learning. Track and analyze student performance; maintain academic records and generate progress reports. Provide remedial support for underperforming students and enrichment for advanced learners. Teamwork & Collaboration: Collaborate with English department colleagues and cross-functional academic teams on integrated lesson planning and projects. Participate in departmental meetings, planning sessions, and curriculum development. Contribute to interdisciplinary initiatives, school events, and academic audits. Coordinate with examination and academic coordinators for scheduling, assessments, and moderation work. Residential Responsibilities: Serve as a mentor and role model to students in the residential campus environment. Supervise dormitory routines, evening prep/study hours, and extracurricular activities. Support students in character development, time management, and overall wellbeing. Participate in campus events, outings, and life-skills training activities. Required Qualifications & Skills: Bachelor’s or Master’s degree in English. B.Ed. (mandatory as per CBSE norms). Minimum 2–5 years of CBSE teaching experience in Grades 9 & 10. Strong command of English grammar, comprehension, writing formats, and literature. Proficient in digital education tools (e.g., Google Classroom, Quizziz ,PPTs etc.). Capable of creating lesson plans, assessment rubrics, and engaging worksheets. Strong collaboration, communication, and classroom management skills. Must be willing to stay on campus and contribute actively to the residential school culture. Preferred Attributes: Experience in a residential school setup. Training in digital pedagogy, NEP-aligned assessments, or CBSE workshops. Active involvement in co-curricular or literary activities (debates, elocution, drama, etc.). Remuneration and Benefits: Competitive salary as per experience and qualifications. Free food and accommodation on campus.