2052 Reinforcement Jobs - Page 13

SYSTRA is one of the world's leading engineering and consulting groups specializing in public transport and mobility solutions. For over 65 years, the Group has been committed to helping cities and regions develop by creating, improving and modernizing their transport infrastructure and systems. Context In India, SYSTRA is an international consulting and engineering company operating in the fields of Metros, High Speed Rail, Railways, Roads, Buildings, Urban planning, and Water & Environment for public and private organizations. Our engineers work with passion to deliver the most reliable, cost-effective and made-to measures solutions allowing end users to move seamlessly. SYSTRA’s unique expertise is backed with a reputation built through technical excellence delivered on projects. Thanks to our know-how of our employees spread across India, we are present at all stages from upstream studies to operation and maintenance. We provide a comprehensive solution to manage all kinds of missions: Detailed Design Consultant, Project Management, Independent checking services. SYSTRA India’s comprehensive know-how and expertise in Railways provides a wide spectrum of solutions for any challenge (Building a new rail link, doubling the capacity, gauge conversion, upgrading a network, improving the performance of existing lines, etc.). Our extensive experience encompasses, Bridges, station buildings, Depots, Earthwork & Track Works, Power Supply and Transmission, Signaling & Telecommunications, Rolling Stock, Utilities diversion and yard re-modelling etc. Our services cover the entire life cycle of the project implementation. Currently, we are bidding for Railways projects across India. The position of Resident Engineer Civil is the key position in these BIDs Missions/Main Duties Assist in the design of new railway bridges, including RCC, PSC, and steel structures (ROB, RUB, FOB, minor & major bridges). Prepare and review General Arrangement Drawings (GADs), structural drawings, and bar bending schedules. Ensure adherence to relevant Indian Railway standards (IRS), IRC, IS Codes, and project-specific specifications. Oversee construction activities at bridge sites to ensure compliance with design, drawings, and quality standards. Coordinate with contractors, site engineers, and consultants to resolve technical issues during execution. Monitor casting, erection, and launching of bridge components. Conduct inspections of ongoing and completed bridge works to ensure structural integrity and workmanship. Verify reinforcement placement, concrete quality, shuttering, and alignment during various construction stages. Ensure proper documentation of checklists, test results, and site records. Participate in design and progress review meetings, and address queries from clients or approving authorities. Review and validate survey data related to bridge location, alignment, and profile levels. Coordinate with survey teams to assess topographical and geotechnical conditions for foundation suitability. Prepare daily/weekly progress reports and maintain logs for construction stages. Ensure compliance with Indian Railway safety norms and quality control procedures Profile/Skills Graduate Degree in Civil /Electrical/ Electronics and Communication with minimum of 10 years’ experience in construction industry/ Railway Signalling or Diploma in Civil/ Electrical/Electronics Engineering with minimum of 15 years’ experience in construction industry or Railway Signalling. We commit to put people who join us at the heart of improving transportation and urban infrastructure efficiency. As we are growing, this is time to be a part of this challenging adventure. It’s not a job - it’s a career!

Why Join 7-Eleven Global Solution Center? When you join us, you'll embrace ownership as teams within specific product areas take responsibility for end-to-end solution delivery, supporting local teams and integrating new digital assets. Challenge yourself by contributing to products deployed across our extensive network of convenience stores, processing over a billion transactions annually. Build solutions for scale, addressing the diverse needs of our 84,000+ stores in 19 countries. Experience growth through cross-functional learning, encouraged and applauded at 7-Eleven GSC. With our size, stability, and resources, you can navigate a rewarding career. Embody leadership and service as 7-Eleven GSC remains dedicated to meeting the needs of customers and communities. Why We Exist, Our Purpose and Our Transformation? 7-Eleven is dedicated to being a customer-centric, digitally empowered organization that seamlessly integrates our physical stores with digital offerings. Our goal is to redefine convenience by consistently providing top-notch customer experiences and solutions in a rapidly evolving consumer landscape. Anticipating customer preferences, we create and implement platforms that empower customers to shop, pay, and access products and services according to their preferences. To achieve success, we are driving a cultural shift anchored in leadership principles, supported by the realignment of organizational resources and processes. At 7-Eleven we are guided by our Leadership Principles . Each principle has a defined set of behaviours which help guide the 7-Eleven GSC team to Serve Customers and Support Stores. Be Customer Obsessed Be Courageous with Your Point of View Challenge the Status Quo Act Like an Entrepreneur Have an “It Can Be Done” Attitude Do the Right Thing Be Accountable About This Opportunity: We are seeking a highly skilled senior AI/ML engineer to design, implement and deploy AI/ML solutions that drive innovation and efficiency. The ideal candidate will have extensive experience in Langchain, NLP, RAG based systems, Prompt Engineering, Agentic Systems and cloud platforms (Azure,AWS) and be adept in building AI driven applications. Responsibilities: Design and implement AI driven solutions using advanced frameworks and technologies, ensuring scalability and efficiency. Develop and optimize Langchain(agents, chains, memories, parsers, document loaders),Gen AI and NLP models for specific use cases. Quickly experiment different machine learning models for specific use case. Strong problem-solving capabilities and ability to quickly propose feasible solutions and effectively communicate strategy and risk mitigation approaches to leadership. Required Qualifications: 3 - 5 years of experience in AI/ML engineering, with exposure to both classical machine learning methods and language model-based applications. Must have experience in Azure cloud and databricks setup. Proficiency in Python and machine learning frameworks like Tensorflow, Pytorch, scikit-learn. Strong understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning. Strong expertise in Generative AI, NLP, and conversational AI technologies. Experience in building and deploying AI-powered applications at scale. Expertise in working with structured and unstructured data, including data cleaning, feature engineering with data stores like vector, relational, NoSQL databases and data lakes through APIs. Model Evaluation and Metrics: Proficiency in evaluating both classical ML models and LLMs using relevant metrics. Excellent written and verbal communications skills. Be eager to explore and implement the latest advancements in LLMs and ML, integrating them with existing solutions and enhancing their capabilities. Ability to understand business requirements and translate into technical requirements. Educational Background: Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related field. Familiarity with code versioning tools - Git (Gitlab). Exposure to retail industry, experience with e-commerce applications. 7-Eleven Global Solution Center is an Equal Opportunity Employer committed to diversity in the workplace. Our strategy focuses on three core pillars – workplace culture, diverse talent and how we show up in the communities we serve. As the recognized leader in convenience, the 7-Eleven family of brands embraces diversity, equity and inclusion (DE+I). It’s not only the right thing to do for customers, Franchisees and employees—it’s a business imperative. Privileges & Perquisites: 7-Eleven Global Solution Center offers a comprehensive benefits plan tailored to meet the needs and improve the overall experience of our employees, aiding in the management of both their professional and personal aspects. Work-Life Balance: Encouraging employees to unwind, recharge, and find balance, we offer flexible and hybrid work schedules along with diverse leave options. Supplementary allowances and compensatory days off are provided for specific work demands. Well-Being & Family Protection: Comprehensive medical coverage for spouses, children, and parents/in-laws, with voluntary top-up plans, OPD coverage, day care services, and access to health coaches. Additionally, an Employee Assistance Program with free, unbiased and confidential expert consultations for personal and professional issues. Top of Form Wheels and Meals: Free transportation and cafeteria facilities with diverse menu options including breakfast, lunch, snacks, and beverages, customizable and health-conscious choices. Certification & Training Program: Sponsored training for specialized certifications. Investment in employee development through labs and learning platforms. Hassel free Relocation: Support and reimbursement for newly hired employees relocating to Bangalore, India.

Job Description Underground, Tunnel, Metro Responsibilities You need to have very good communication skills in English both in speaking and writing. You need to be able to prepare clear and detailed technical documentation. You need to have strong interpersonal skills to effectively collaborate with team members and clients. You need to be able to adapt to new tools and technologies. You need to have a proactive approach to continuing education and professional development. You need to have strong analytical skills. Demonstrating problem-solving skills by suggesting alternatives or improvements. You need to have critical thinking. Before raising questions or geƫng to work, it's important to analyze the task instruction thoroughly. This involves understanding the objectives, identifying any potential issues or unclear aspects, and considering alternative approaches if necessary. This also means asking questions if unsure before commiƫng to a task. You need to have medium to high level experience in the majority of the following computer softwares: Autocad Civil 3D, Microstation RS3, Midas GTS Grasshopper Navisworks SWedge, UnWedge, DIPS Qualifications Underground, Tunnel, Metro Eurocodes, Rock Mechanics, Rock Excavation, Rock Reinforcement and Grouting

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. *Why PWC At PwC , you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC , we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations Job Description & Summary – Associate – GenAI – Mumbai Responsibilities: Role : Associate Exp : 3—5 Years Location: Mumbai Job Description: Candidate with 3-5 years of exp and a strong background in machine learning, technical expertise, and domain knowledge in Banking, Financial Services, and Insurance (BFSI). Experience with Generative AI (GenAI) is a must have. Key Responsibilities: · Collaborate with clients to understand their business needs and provide data-driven solutions. · Develop and implement machine learning models to solve complex business problems. · Analyze large datasets to extract actionable insights and drive decision-making. · Present findings and recommendations to stakeholders in a clear and concise manner. · Stay updated with the latest trends and advancements in data science and machine learning. GenAI Experience: · Generative AI (GenAI) experience, including working with models like GPT, BERT, and other transformer-based architectures · Ability to leverage GenAI for tasks such as text generation, summarization, and conversational AI · Experience in developing and deploying GenAI solutions to enhance business processes and customer experiences Technical Skills: · Programming Languages: Proficiency in Python, R, and SQL for data manipulation, analysis, and model development. · Machine Learning Frameworks: Extensive experience with TensorFlow, PyTorch, and Scikit-learn for building and deploying models. · Data Visualization Tools: Strong knowledge of Tableau, Power BI, and Matplotlib to create insightful visualizations. · Cloud Platforms: Expertise in AWS, Azure, and Google Cloud for scalable and efficient data solutions. · Database Management: Proficiency in SQL and NoSQL databases for data storage and retrieval. · Version Control: Experience with Git for collaborative development and code management. · APIs and Web Services: Ability to integrate and utilize APIs for data access and model deployment. Machine Learning algorithms: · Supervised and Unsupervised Learning · Regression Analysis · Classification Techniques · Clustering Algorithms · Natural Language Processing (NLP) · Time Series Analysis · Deep Learning · Reinforcement Learning Mandatory skill sets: GenAI Preferred skill sets: GenAI Years of experience required: 3—5 Years Education qualification: B.E.(B.Tech)/M.E/M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration, Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Extract Transform Load (ETL), Microsoft Azure Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 11 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Leadership & Strategy Lead and mentor cross-functional teams focused on AI/ML incubation and engineering enablement Define and drive the strategic roadmap for innovation initiatives and technical enablement Foster a culture of experimentation, rapid iteration, and continuous learning Incubation & Innovation Identify, evaluate, and incubate high-impact AI/ML ideas aligned with business goals Oversee the development of proof-of-concepts (PoCs) and prototypes to validate new technologies and approaches Collaborate with product, research, and business stakeholders to prioritize and refine ideas Engineering Enablement Build and scale internal platforms, tools, and frameworks to accelerate AI/ML development Establish best practices, coding standards, and reusable components for AI/ML engineering Provide technical guidance and support to engineering teams adopting AI/ML technologies Collaboration & Communication Act as a bridge between research, engineering, and product teams to ensure alignment and knowledge transfer Present technical concepts and project outcomes to executive leadership and stakeholders Promote knowledge sharing through documentation, workshops, and internal communities of practice Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field 10+ years of experience in software engineering with 3+ years in management Experience in React, JavaScript, TypeScript, Node.js, React Native, Java, Python, and Spring Boot Frameworks Experience in Data Management of RDBMS and NoSQL Experience in building/managing CI/CD pipelines of Jenkins, Github Actions etc. Proven experience in AI/ML technologies, including model development, deployment, and MLOps Solid understanding of cloud platforms (e.g. Azure, GCP) with hands-on experience on AWS and Terraforms Proven excellent communication, collaboration, and organizational skills Preferred Qualifications: Experience with LLMs, generative AI, or reinforcement learning Experience with agile methodologies and startup-like environments Familiarity with open-source AI/ML tools and frameworks (e.g., TensorFlow, PyTorch, MLflow) Knowledge of Machine Learning Algorithms: Supervised, unsupervised, reinforcement learning Knowledge of Model Evaluation: Precision, recall, F1-score, ROC-AUC Knowledge of Data Preprocessing: Feature engineering, normalization, handling missing data Knowledge of Responsible AI: Fairness, explainability (XAI), bias mitigation Knowledge of AutoML: Hyperparameter tuning, model selection automation Knowledge of Federated Learning & Edge AI: For privacy-preserving and low-latency applications Deep Learning: CNNs, RNNs, Transformers, GANs Background in innovation labs, R&D, or technical incubation environments At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

JOB DESCRIPTION We're seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. As an Applied AI ML Senior Associate within the Digital Intelligence team at JPMorgan, collaborate with all lines of business and functions to deliver software solutions. Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business. Design and implement highly scalable and reliable data processing pipelines. Perform analysis and insights to promote and optimize business results. Contribute to a transformative journey and make a substantial impact on a wide range of customer products. Job Responsibilities Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains. Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services. Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions. Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions. Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources. Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes. Communicate findings and insights to stakeholders through presentations, reports, and visualizations. Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations. Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm. Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements. Required qualifications, capabilities and skills Expert in at least one of the following areas: Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Strong analytical and critical thinking skills for problem solving. Excellent written and oral communication along with demonstrated teamwork skills. Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders. A strong desire to stay updated with the latest advancements in the field and continuously improve one's skills Preferred qualification, capabilities and skills Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles. Experience with distributed data/feature engineering using popular cloud services like AWS EMR Experience with large scale training, validation and testing experiments. Experience with cloud Machine Learning services in AWS like Sagemaker. Experience with Container technology like Docker, ECS etc. Experience with Kubernetes based platform for Training or Inferencing. Contributions to open-source ML projects can be a plus. Participation in ML competitions (e.g., Kaggle) and hackathons demonstrating practical skills and problem-solving abilities. Understanding of how ML can be applied to various domains like healthcare, finance, robotics, etc. ABOUT US

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you’ll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us deine the future of American Express. Overview of the Business: Credit and Fraud Risk (CFR) team helps drive profitable business growth by reducing the risk of fraud and maintaining industry lowest credit loss rates. It uses an array of tools and ever-evolving technology to detect and combat fraud, minimize the disruption of good spending, and provide a world-class customer experience. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation. A single decision can have many outcomes. And when that decision affects millions of customers, it needs to be the right one. That’s where our Credit & Fraud Risk (CFR) Analytics & Data Science CoE team comes in. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation, every day. Right from targeting the right customer for our products to underwriting them to managing their experience with Amex when they get onboarded, every decision is advised by groundbreaking analytics & data science. We help the company grow its business profitably while delivering the world's best customer experience, all powered by data. We are the backbone of all financial services operations at American Express and impact every aspect of the company. As a part of the team, you’ll have the opportunity to work in one of the best companies for data scientists in the country. You will solve real world business problems while getting exposure to the industry’s top leaders in analytics, data science and machine learning. If you’re passionate about solving complex problems and crafting solutions that impact millions, you should consider a career in CFR. Development, deployment and validation of predictive model(s) and supporting use of models in economic logic to enable profitable decisions across risk, fraud and marketing. Responsibilities: Understand the core business of AXP and the levers behind various decisions Analyze large amounts of data to derive business insights and create innovative solutions Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant Innovate with a focus on developing newer and better approaches using big data & machine learning solution Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc. Minimum Qualifications MBA, Master’s Degree In Economics, Statistics, Computer Science Or related fields 0-18 months of experience in analytics, big data workstreams Ability to drive project deliverables to achieve business results Ability to work effectively in a team environment Strong communication and interpersonal skills Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives Ability to Integrate with Cross-Functional Business Partners Worldwide SAS, R, Python, Hive, Spark, SQL Unsupervised and supervised techniques -: active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering Preferred Qualifications Expertise in Coding, Algorithm, High Performance Computing American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background veriication check, subject to applicable laws and regulations.

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

Job Overview Employee Type: Full-Time Location: 8 Temasek Boulevard AP Regional Office Job Type: Sales & Marketing Experience: Not Specified Date Posted: 7/18/2025 Job ID: JR79499 Job Description Job Summary Reporting to the Senior Sales Manager, the Assistant Manager, Sales' responsibilities include ensuring the Gallery Sales Team attains defined sales targets; financial and fiscal management; recruitment, development and retention of Sales Gallery Associates; external and internal customer satisfaction; and maintaining a positive community relationship. The key management objective is to achieve the Site target levels established each Sales Period for the Sales Year. Core Work Activities Ensure the profitability of the Sales Gallery by exceeding sales targets at or below budgeted costs, with a focus on ‘profitability’, rather than just on a ‘strictly volume driven’ basis through additional means such as stronger focus on FDB’s (First Day Benefits) required to close and reduction of overall cancellation rate, Develop, maintain and enhance the MVCI ‘Culture of Excellence’ in all facets of the Sales Gallery operation, while building strong team values through active participation in all team building exercises and trainings, Assist Senior Sales Manager in the overall management of the Sales Gallery including the development, training and mentoring of Sales Executives, Take responsibility for the active recruitment of new sales talent as well as training, development and performance of assigned Sales Executives from time to time, Help supervise the daily operational aspects of the Gallery ‘Sales Floor’ through participatory Management, Conduct and/or supervise on occasions, the daily ‘general’ sales meeting prior to the first presentation time, ensuring the content delivers a ‘strong motivational message(s)’ to ensure high energy, passion and enthusiasm are the key drivers of all Sales Executives as they commence their work day, practice the ‘praise in public, chastise in private’ principal in leading the sales team, Be available to conduct one-on-one training and performance reviews with their assigned Sales Executive/s, Assist Senior Sales Manager in conducting regular, at least twice weekly sales management meetings to review both the week and period to date performance of the team as a whole versus budget targets, and to strategically plan out action steps and goals to ensure peak performance and budget attainment, Ensure consistency with MVC AP approved training, development and motivational programs, Mediate, counsel and resolve in a timely manner any issues between Sales Executives or raise the issue to the Senior Sales Manager to ensure the ‘attitude and mood’ of the team is harmonious with a spirit of each Associate seeking to assist one another for a win-win situation, Ensure that ‘positive reinforcement and recognition’ is a regular part of your interaction with all Gallery Associates, Manage the sales floor during sales presentation times ensuring that managers are available to assist Sales Executives, Guest tour flow is smooth and efficient, Ensure all Gallery Associates adhere to all Company and any Governmental compliance requirements, general MVC AP policies and procedures and specifically all sales departmental related policies and best practices and that all Sales Gallery Associates act, at all times to ensure the ‘Guest Experience’ and the integrity of the ‘Marriott’ brand name are not compromised, ensure all Gallery Associates represent the company in an ethical, moral and professional manner at all times, Lead by example by maintaining high standards and professional leadership, inspire, motivate and be an active participant in assisting with sales closing and sales floor supervision during presentation times, Respond to and manage in a timely manner any Guest concerns or complaints in conjunction with any relevant departments i.e. Marketing, Customer Delivery etc., Regularly update the Senior Sales Manager with any relevant information and ongoing feedback on performance and other related issues concerning the operation of the Sales Gallery, Supervise and monitor adherence with MVC AP’s ‘Great Beginnings’ sales training and presentation methodology, ensuring that there is no deviation or introduction of ‘non-company’ approved training or point of sale collateral, Ensure an active ‘Member and Non-Member Referral Harvesting Program’ is maintained that meets defined Sales Gallery Lead Generation performance measures, Promote good working relationships between your Sales Gallery and all other departments within MVC AP ensuring clear lines of communication are maintained. In particular, ensure that all Gallery Associates are fully supportive of the company’s marketing programs, Ensure that Sales Gallery facilities, property and assets are maintained to a high standard at all times Preferred Qualifications Required language(s): This role is expected to communicate to English or Mandarin speaking guests. Knowledge of English/Mandarin language is essential Only candidates with relevant experience in the timeshare/hospitality industry will be considered Education - Tertiary or University preferred Related Work Experience - Sales experience in vacation ownership Supervisory Experience - Managed a sales deck in the industry Others - Able to manage and communicate with peers Marriott Vacations Worldwide is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture.

As a partner to businesses and governments, Crane Authentication offers expertise and cutting-edge innovations that protect and enhance products, secure identities, safeguard revenues and enforce compliance. Customers from different business sectors and levels of government trust our team of 1,250 people for their expertise in R&D, security design, engineering and data-driven insights. We are an integral part of Crane NXT , a c$2 billion dollar business with over 5,000 associates Summary : Crane Authentication provides a range of software platforms with sophisticated anti-counterfeit, anti-piracy, anti-fraud capabilities and track and trace solutions capable of handling billions of transactions per day. Our customers are global brands and Governments. We are seeking a highly skilled and forward-thinking AI Engineer experienced in designing, deploying, and operationalizing modern AI solutions using Generative AI , Agentic AI frameworks , Retrieval-Augmented Generation (RAG) , and Model Context Protocol (MCP) for intelligent multi-agent orchestration. In this role, you’ll build context-aware AI agents capable of dynamic memory management, tool-based reasoning, multi-modal interaction, and consistent state maintenance across distributed AI ecosystems. You’ll work at the forefront of autonomous AI system design integrating multi-model workflows, RAG pipelines, tool-augmented agents, and persistent context protocols. Key Accountability: Design, develop, and deploy advanced AI systems leveraging LLMs , multi-modal models , and autonomous agent frameworks . Architect and implement Retrieval-Augmented Generation (RAG) pipelines integrated with vector databases for dynamic, enterprise-safe context retrieval. Develop and manage context-aware AI agents leveraging Model Context Protocol (MCP) or equivalent structured context management mechanisms for persistent memory, multi-agent collaboration, and session continuity. Implement context propagation, state serialization, and contextual handoff mechanisms across distributed agents, tools, and reasoning chains. Integrate AI systems with cloud APIs, vector databases, plugin architectures, and orchestration frameworks for multi-step task execution. Optimize memory management, prompt engineering, and dynamic context windows for complex, long-running AI workflows. Lead AI agent orchestration initiatives using frameworks like LangChain , Semantic Kernel , CrewAI , or AutoGen , with MCP integration for context tracing and governance. Stay ahead of emerging trends in multi-agent LLM ecosystems , autonomous reasoning frameworks , and context-aware AI protocol standards like MCP. Required Experience: 3+ years of AI engineering experience, with direct expertise in: Generative AI (GenAI) frameworks (OpenAI, Hugging Face, Anthropic, Mistral) Agentic AI orchestration frameworks (LangChain, Semantic Kernel, AutoGen, CrewAI) Retrieval-Augmented Generation (RAG) system design and deployment Model Context Protocol (MCP) or structured context management solutions in multi-agent, multi-tool AI workflows Strong software engineering skills in Python , including AI/ML libraries like PyTorch , TensorFlow , Transformers , and RAG toolkits. Hands-on experience working with vector databases (Pinecone, FAISS, Weaviate, Chroma) and plugin-based AI architectures . Strong understanding of AI memory management, session context propagation, and multi-agent communication protocols. Programming framework/language: Python, JS or Java. Vector databases (Pinecone, FAISS, Weaviate, Chroma) and plugin-based AI architectures . Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Solid understanding of statistics, data structures, and algorithms. Preferred Skills: Experience integrating multi-modal models (text, image, audio, video) into agentic workflows. Familiarity with AI safety, observability, and context integrity management in distributed AI systems. Exposure to LLMOps pipelines , prompt optimization techniques, and AI agent performance tuning. Experience contributing to open-source AI orchestration frameworks or context management libraries. Understanding of AI alignment, ethical AI principles, and responsible AI design. Experience with Deep learning in NLP, computer vision, or reinforcement learning. Education Qualification: Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field. 4+ years of experience working as a software engineer developing commercial software. Experience using collaborative tools such as: Slack, Microsoft Teams, and Jira. Common to all roles To ensure full participation in the performance development review (PDR) process and maintain an up-to-date record of all training and development activities/programs. To always act and behave in a way compliant with all Crane Authentication’s company guidelines and policies, especially those relating to values and behaviours, environmental health and safety, ethics and codes of conduct, as it is through living our values that we strengthen the culture of our business and demonstrate our understanding of our Code of Business Principles. Further information on our company values can be found in our “Living the Values” guidelines. WHAT’S IN IT FOR YOU? Work for a market leading, established product company. Nice modern offices with great facilities. Health Insurance. 24 days holidays plus national holidays. Life Insurance. Crane Authentication is part of Crane NXT Crane NXT is a premier industrial technology company that provides proprietary and trusted technology solutions to secure, detect, and authenticate what matters most to its customers. Crane NXT has approximately 5,000 employees with global operations and manufacturing facilities in the United States, the United Kingdom, Mexico, Japan, Switzerland, Germany, Sweden, and Malta. For more information, visit www.cranenxt.com. We value diversity at our company. Everyone who applies with the qualifications will receive consideration for employment without regard to: age, colour, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by law. We receive a high number of applications, so apologies if we are unable to provide specific feedback. If we feel you are a fit for the role, we’ll be in contact.

Job Title: Bridge Designer Location: Kochi, Kerala Experience Required: Minimum 5 years in the relevant field Education: Diploma or ITI in Civil Engineering Job Description: We are seeking an experienced and detail-oriented Bridge Designer to join our infrastructure team for a key elevated metro rail or major bridge project in Kochi, Kerala . The candidate should have a solid background in bridge design/drafting with hands-on experience in preparing detailed drawings for elevated metro structures or major bridge works . Key Responsibilities: Prepare and develop general arrangement drawings (GADs) , reinforcement drawings , and construction drawings for bridges and elevated metro structures. Convert conceptual layouts and design inputs into detailed 2D civil/structural drawings using AutoCAD and relevant software tools. Coordinate with structural engineers to produce technically accurate and constructible drawings. Review and update design documentation to reflect design changes, revisions, and redlines. Ensure compliance with applicable codes (IRC, IS), project specifications, and drafting standards. Collaborate with multidisciplinary teams (civil, structural, MEP) for effective design integration. Maintain drawing registers and version control documentation as per project requirements. Requirements: Educational Qualification: ITI or Diploma in Civil Engineering from a recognized institution. Experience: Minimum 5 years of experience in bridge/civil drafting or design. At least 2 years of experience specifically in elevated metro rail or major bridge infrastructure projects . Technical Skills: Proficiency in AutoCAD (2D essential; 3D, Revit, or MicroStation is an advantage). Good understanding of bridge elements such as piers, girders, pier caps, bearings, deck slabs, and foundations. Ability to read and interpret structural and construction drawings. Familiarity with MS Office and document control systems. Preferred Candidate Profile: Prior experience in metro rail or national highway bridge projects. Strong attention to detail with good documentation and coordination skills. Familiarity with Kerala’s site practices and design requirements will be considered a plus. Ability to work independently with minimal supervision under tight deadlines. Job Type: Full-time Work Location: In person

Civil Designer Location: Kochi, Kerala Experience Required: Minimum 5 years in the relevant field Education: Diploma or ITI in Civil Engineering Job Description: We are looking for a qualified and experienced Civil Designer to join our team for an ongoing elevated metro rail / major infrastructure bridge project in Kochi, Kerala . The ideal candidate must have a minimum of 5 years of experience in civil design/drafting, with at least 2 years in a similar role specifically on elevated metro rail or large-scale infrastructure bridge projects . Key Responsibilities: Prepare and develop detailed civil and structural drawings such as general arrangement drawings (GADs), plans, sections, elevations, and reinforcement drawings using AutoCAD and related software. Coordinate with structural, architectural, and MEP teams for multi-disciplinary drawing integration. Interpret design inputs from engineering teams and translate them into accurate construction drawings. Support design team during design reviews and incorporate necessary changes promptly. Maintain version control and proper documentation of drawings as per project standards. Ensure drawings meet relevant codes, project specifications, and quality standards. Assist project engineers and site teams with technical clarification and updates. Requirements: Educational Qualification: ITI or Diploma in Civil Engineering from a recognized institute. Experience: Minimum 5 years of total experience in civil drafting/design. Minimum 2 years experience specifically in elevated metro rail or major infrastructure bridge projects . Technical Skills: Proficiency in AutoCAD (2D mandatory; 3D and Revit/MicroStation knowledge is a plus). Familiarity with civil and structural detailing standards. Basic knowledge of MS Office tools. Good understanding of engineering drawings, layouts, and technical specifications. Strong attention to detail with excellent organizational skills. Job Type: Full-time Work Location: In person

AI/ML Engineer – Core Algorithm and Model Expert 1. Role Objective: The engineer will be responsible for designing, developing, and optimizing advanced AI/ML models for computer vision, generative AI, Audio processing, predictive analysis and NLP applications. Must possess deep expertise in algorithm development and model deployment as production-ready products for naval applications. Also responsible for ensuring models are modular, reusable, and deployable in resource constrained environments. 2. Key Responsibilities: 2.1. Design and train models using Naval-specific data and deliver them in the form of end products 2.2. Fine-tune open-source LLMs (e.g. LLaMA, Qwen, Mistral, Whisper, Wav2Vec, Conformer models) for Navy-specific tasks. 2.3. Preprocess, label, and augment datasets. 2.4. Implement quantization, pruning, and compression for deployment-ready AI applications. 2.5. The engineer will be responsible for the development, training, fine-tuning, and optimization of Large Language Models (LLMs) and translation models for mission-critical AI applications of the Indian Navy. The candidate must possess a strong foundation in transformer-based architectures (e.g., BERT, GPT, LLaMA, mT5, NLLB) and hands-on experience with pretraining and fine-tuning methodologies such as Supervised Fine-Tuning (SFT), Instruction Tuning, Reinforcement Learning from Human Feedback (RLHF), and Parameter-Efficient Fine-Tuning (LoRA, QLoRA, Adapters). 2.6. Proficiency in building multilingual and domain-specific translation systems using techniques like backtranslation, domain adaptation, and knowledge distillation is essential. 2.7. The engineer should demonstrate practical expertise with libraries such as Hugging Face Transformers, PEFT, Fairseq, and OpenNMT. Knowledge of model compression, quantization, and deployment on GPU-enabled servers is highly desirable. Familiarity with MLOps, version control using Git, and cross-team integration practices is expected to ensure seamless interoperability with other AI modules. 2.8. Collaborate with Backend Engineer for integration via standard formats (ONNX, TorchScript). 2.9. Generate reusable inference modules that can be plugged into microservices or edge devices. 2.10. Maintain reproducible pipelines (e.g., with MLFlow, DVC, Weights & Biases). 3. Educational Qualifications Essential Requirements: 3.1. B Tech / M.Tech in Computer Science, AI/ML, Data Science, Statistics or related field with exceptional academic record. 3.2. Minimum 75% marks or 8.0 CGPA in relevant engineering disciplines. Desired Specialized Certifications: 3.3. Professional ML certifications from Google, AWS, Microsoft, or NVIDIA 3.4. Deep Learning Specialization. 3.5. Computer Vision or NLP specialization certificates. 3.6. TensorFlow/ PyTorch Professional Certification. 4. Core Skills & Tools: 4.1. Languages: Python (must), C++/Rust. 4.2. Frameworks: PyTorch, TensorFlow, Hugging Face Transformers. 4.3. ML Concepts: Transfer learning, RAG, XAI (SHAP/LIME), reinforcement learning LLM finetuning, SFT, RLHF, LoRA, QLorA and PEFT. 4.4. Optimized Inference: ONNX Runtime, TensorRT, TorchScript. 4.5. Data Tooling: Pandas, NumPy, Scikit-learn, OpenCV. 4.6. Security Awareness: Data sanitization, adversarial robustness, model watermarking. 5. Core AI/ML Competencies: 5.1. Deep Learning Architectures: CNNs, RNNs, LSTMs, GRUs, Transformers, GANs, VAEs, Diffusion Models 5.2. Computer Vision: Object detection (YOLO, R-CNN), semantic segmentation, image classification, optical character recognition, facial recognition, anomaly detection. 5.3. Natural Language Processing: BERT, GPT models, sentiment analysis, named entity recognition, machine translation, text summarization, chatbot development. 5.4. Generative AI: Large Language Models (LLMs), prompt engineering, fine-tuning, Quantization, RAG systems, multimodal AI, stable diffusion models. 5.5. Advanced Algorithms: Reinforcement learning, federated learning, transfer learning, few-shot learning, meta-learning 6. Programming & Frameworks: 6.1. Languages: Python (expert level), R, Julia, C++ for performance optimization. 6.2. ML Frameworks: TensorFlow, PyTorch, JAX, Hugging Face Transformers, OpenCV, NLTK, spaCy. 6.3. Scientific Computing: NumPy, SciPy, Pandas, Matplotlib, Seaborn, Plotly 6.4. Distributed Training: Horovod, DeepSpeed, FairScale, PyTorch Lightning 7. Model Development & Optimization: 7.1. Hyperparameter tuning using Optuna, Ray Tune, or Weights & Biases etc. 7.2. Model compression techniques (quantization, pruning, distillation). 7.3. ONNX model conversion and optimization. 8. Generative AI & NLP Applications: 8.1. Intelligence report analysis and summarization. 8.2. Multilingual radio communication translation. 8.3. Voice command systems for naval equipment. 8.4. Automated documentation and report generation. 8.5. Synthetic data generation for training simulations. 8.6. Scenario generation for naval training exercises. 8.7. Maritime intelligence synthesis and briefing generation. 9. Experience Requirements 9.1. Hands-on experience with at least 2 major AI domains. 9.2. Experience deploying models in production environments. 9.3. Contribution to open-source AI projects. 9.4. Led development of multiple end-to-end AI products. 9.5. Experience scaling AI solutions for large user bases. 9.6. Track record of optimizing models for real-time applications. 9.7. Experience mentoring technical teams 10. Product Development Skills 10.1. End-to-end ML pipeline development (data ingestion to model serving). 10.2. User feedback integration for model improvement. 10.3. Cross-platform model deployment (cloud, edge, mobile) 10.4. API design for ML model integration 11. Cross-Compatibility Requirements: 11.1. Define model interfaces (input/output schema) for frontend/backend use. 11.2. Build CLI and REST-compatible inference tools. 11.3. Maintain shared code libraries (Git) that backend/frontend teams can directly call. 11.4. Joint debugging and model-in-the-loop testing with UI and backend teams

Job Title: Expert AI Engineer Location: Noida, Uttar Pradesh Company: EdPi Education and Technology Pvt Ltd Job Type: Full Time Experience: 2-4 Years Salary: ₹10 – ₹18 LPA (based on experience and skills) About EdPi: EdPi is a collaborative research and development centre dedicated to leveraging the power of artificial intelligence and machine learning to transform education. We bring together a diverse network of leading universities, research institutions, technology companies, and philanthropic organizations across the United States and India. About the Role: We are looking for an Expert AI Engineer with deep experience in building and deploying intelligent systems. The ideal candidate will have experience in backend or frontend or full stack development with a strong track record in prompt engineering , AI-agent development , and multi-agent systems , along with a passion for staying ahead in the rapidly evolving AI landscape. This is a high-impact role where you’ll shape the development of cutting-edge AI solutions and work at the forefront of applied artificial intelligence. Key Responsibilities: Design, develop, and deploy advanced AI agents capable of handling complex tasks. Lead the development of multi-agent systems that collaborate, reason, and learn. Apply prompt engineering techniques to optimize LLM-based outputs for real-world applications. Collaborate cross-functionally to integrate AI solutions into larger systems and workflows. Perform backend/frontend/full stack development for sophisticated cloud applications Stay current with the latest developments in AI/ML, LLMs, agent frameworks, and research papers. Rapidly prototype and iterate on new ideas and agent capabilities. Requirements: Demonstrated expertise in AI agent development, including hands-on experience building and running production-ready AI agents. Strong knowledge of prompt engineering principles and best practices. Experience in developing multi-agent systems and orchestration logic. Proficiency in Python and popular AI frameworks (e.g., LangChain, OpenAI, Hugging Face, AutoGen, etc.). Deep understanding of LLMs and how to adapt them to different tasks. Proven track record of backend/frontend/full stack development Ability to work independently, solve ambiguous problems, and drive innovation. Nice to Have: Experience with reinforcement learning or fine-tuning large models. Contributions to open-source AI/agent-related projects. Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG).

Company Description RiDh is a one-stop quality solution provider for all your Rebar detailing and BIM services. Our client base spans the US, UK, Europe, Middle East (UAE), and India, reflecting our global reach and reputation. We are committed to delivering quality, accurate, and reliable reinforcement detailing within scheduled time frames to meet project requirements. With expertise in structural engineering disciplines and advanced infrastructure facilities, we provide cost-effective solutions for all detailed engineering needs of RCC elements. Role Description This is an on-site full-time role for a Rebar Detailer - US Standard Experience, located in Madurai. The Rebar Detailer will be responsible for preparing detailed shop drawings, steel detailing, and working with architectural drawings and steel structures. The day-to-day tasks include creating accurate reinforcement detailings and ensuring they meet the project requirements, coordinating with engineering teams, and adhering to industry standards. Qualifications Proficiency in creating Shop Drawings and expertise in Steel Detailing and Rebar Experience working with Architectural Drawings and Steel Structures Attention to detail and accuracy in work Strong understanding of US standards and requirements for rebar detailing Ability to collaborate effectively with engineering teams Experience in using relevant software and tools for rebar detailing Bachelor's degree in Civil Engineering or related field preferred

About Client : Our client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. They helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Powering this growth is our clients talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications. Job Title: Sr. Lead Manager Location: Pan India Experience:6+ years Employment Type: Contract to hire Work Mode: Remote Notice Period: Immediate joiners Requirements: 7+ years in engineering, data science, or ML roles with demonstrated end-to-end ownership Proven ability to own and deliver complex, ambiguous projects end-to-end Clear communicator who handles complexity and cross-functional work with maturity Strong hands-on coding skills in Python; able to lead by example Excellent judgment and accountability, you are someone others can rely on [Bonus] Experience working on LLM-powered products, intelligent agents, or autonomous systems Seniority Level Mid-Senior level Industry IT Services and IT Consulting Employment Type Contract Job Functions Consulting Skills Large Language Models (LLM) Python (Programming Language) Machine Learning Data Science

Job Summary: We are seeking a proactive and detail-oriented Data Scientist to join our team and contribute to the development of intelligent AI-driven production scheduling solutions. This role is ideal for candidates passionate about applying machine learning, optimization techniques, and operational data analysis to enhance decision-making and drive efficiency in manufacturing or process industries. You will play a key role in designing, developing, and deploying smart scheduling algorithms integrated with real-world constraints like machine availability, workforce planning, shift cycles, material flow, and due dates. Experience: 1 Year Responsibilities: 1. AI-Based Scheduling Algorithm Development Develop and refine scheduling models using: Constraint Programming Mixed Integer Programming (MIP) Metaheuristic Algorithms (e.g., Genetic Algorithm, Ant Colony, Simulated Annealing) Reinforcement Learning or Deep Q-Learning Translate shop floor constraints (machines, manpower, sequence dependencies, changeovers) into mathematical models. Create simulation environments to test scheduling models under different scenarios. 2. Data Exploration & Feature Engineering Analyze structured and semi-structured production data from MES, SCADA, ERP, and other sources. Build pipelines for data preprocessing, normalization, and handling missing values. Perform feature engineering to capture important relationships like setup times, cycle duration, and bottlenecks. 3. Model Validation & Deployment Use statistical metrics and domain KPIs (e.g., throughput, utilization, makespan, WIP) to validate scheduling outcomes. Deploy solutions using APIs, dashboards (Streamlit, Dash), or via integration with existing production systems. Support ongoing maintenance, updates, and performance tuning of deployed models. 4. Collaboration & Stakeholder Engagement Work closely with production managers, planners, and domain experts to understand real-world constraints and validate model results. Document solution approaches, model assumptions, and provide technical training to stakeholders. Qualifications: Bachelor’s or Master’s degree in: Data Science, Computer Science, Industrial Engineering, Operations Research, Applied Mathematics, or equivalent. Minimum 1 year of experience in data science roles with exposure to: AI/ML pipelines, predictive modelling, Optimization techniques or industrial scheduling Proficiency in Python, especially with: pandas, numpy, scikit-learn ortools, pulp, cvxpy or other optimization libraries, matplotlib, plotly for visualization Solid understanding of: Production planning & control processes (dispatching rules, job-shop scheduling, etc.), Machine Learning fundamentals (regression, classification, clustering) Familiarity with version control (Git), Jupyter/VSCode environments, and CI/CD principles Preferred (Nice-to-Have) Skills: Experience with: Time-series analysis, sensor data, or anomaly detection, Manufacturing execution systems (MES), SCADA, PLC logs, or OPC UA data, Simulation tools (SimPy, Arena, FlexSim) or digital twin technologies Exposure to containerization (Docker) and model deployment (FastAPI, Flask) Understanding of lean manufacturing principles, Theory of Constraints, or Six Sigma Soft Skills: Strong problem-solving mindset with ability to balance technical depth and business context. Excellent communication and storytelling skills to convey insights to both technical and non-technical stakeholders. Eagerness to learn new tools, technologies, and domain knowledge.

Job Title: AI/ML Engineer – Python Experience Required: 4 to 5 Years Location: Office Job Type: Full-Time Job Summary: We are looking for a talented and experienced AI/ML Engineer with strong proficiency in Python to join our team. The ideal candidate will have 4–5 years of hands-on experience in developing machine learning models, implementing AI solutions, and deploying them into production environments. Key Responsibilities: Design, develop, and deploy machine learning and deep learning models using Python. Work with large datasets to perform data cleaning, preprocessing, and feature engineering . Collaborate with cross-functional teams to define use cases, build prototypes, and deliver scalable ML solutions. Evaluate and tune model performance using techniques like cross-validation , hyperparameter tuning , etc. Use libraries like scikit-learn, TensorFlow, Keras, PyTorch, Pandas, NumPy , and OpenCV . Deploy ML models using APIs, Docker, cloud platforms (AWS, GCP, Azure) , or MLOps pipelines. Stay updated on the latest AI/ML research and apply relevant innovations to solve business problems. Document model workflows, performance metrics, and code for reproducibility and compliance. Required Skills & Qualifications: Bachelor's/Master’s degree in Computer Science, Artificial Intelligence, Data Science , or related field. 4–5 years of experience in AI/ML development using Python . Solid understanding of ML algorithms (classification, regression, clustering, NLP, computer vision). Experience with model deployment and productionizing AI solutions . Familiarity with cloud platforms (AWS Sagemaker, Azure ML, or GCP AI Platform) is a plus. Strong analytical, problem-solving, and programming skills. Ability to interpret business needs and translate them into technical solutions. Preferred Tools & Frameworks: Python , scikit-learn , TensorFlow , Keras , PyTorch Pandas , NumPy , Matplotlib , Seaborn Flask/FastAPI for deploying models MLflow , Docker , Git , Jupyter Notebooks Exposure to NLP , Computer Vision , or Reinforcement Learning is a plus Certifications (Optional but Preferred): TensorFlow Developer Certificate AWS Certified Machine Learning – Specialty Google Professional ML Engineer Microsoft Certified: Azure AI Engineer Associate

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you’ll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us deine the future of American Express. Overview of the Business: Credit and Fraud Risk (CFR) team helps drive profitable business growth by reducing the risk of fraud and maintaining industry lowest credit loss rates. It uses an array of tools and ever-evolving technology to detect and combat fraud, minimize the disruption of good spending, and provide a world-class customer experience. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation. A single decision can have many outcomes. And when that decision affects millions of customers, it needs to be the right one. That’s where our Credit & Fraud Risk (CFR) Analytics & Data Science CoE team comes in. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation, every day. Right from targeting the right customer for our products to underwriting them to managing their experience with Amex when they get onboarded, every decision is advised by groundbreaking analytics & data science. We help the company grow its business profitably while delivering the world's best customer experience, all powered by data. We are the backbone of all financial services operations at American Express and impact every aspect of the company. As a part of the team, you’ll have the opportunity to work in one of the best companies for data scientists in the country. You will solve real world business problems while getting exposure to the industry’s top leaders in analytics, data science and machine learning. If you’re passionate about solving complex problems and crafting solutions that impact millions, you should consider a career in CFR. Development, deployment and validation of predictive model(s) and supporting use of models in economic logic to enable profitable decisions across risk, fraud and marketing. Responsibilities: Understand the core business of AXP and the levers behind various decisions Analyze large amounts of data to derive business insights and create innovative solutions Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant Innovate with a focus on developing newer and better approaches using big data & machine learning solution Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc. Minimum Qualifications • MBA, Master’s Degree In Economics, Statistics, Computer Science Or related fields • 0-18 months of experience in analytics, big data workstreams • Ability to drive project deliverables to achieve business results • Ability to work effectively in a team environment • Strong communication and interpersonal skills • Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives • Ability to Integrate with Cross-Functional Business Partners Worldwide • SAS, R, Python, Hive, Spark, SQL • Unsupervised and supervised techniques -: active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering Preferred Qualifications • Expertise in Coding, Algorithm, High Performance Computing American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background veriication check, subject to applicable laws and regulations.

Scope of the Role: The Principal Data Scientist will lead the architecture, development, and deployment of cutting-edge AI solutions, driving innovation in machine learning, deep learning, and generative AI. The role demands cutting edge expertise in advanced Gen AI development, Agentic AI development, optimization, and integration with enterprise-scale applications while fostering an experimental and forward-thinking environment. This senior level hands-on role offers an immediate opportunity to lead next-gen AI innovation, drive strategic AI initiatives, and shape the future of AI adoption at scale in large enterprise and industry applications. Reports To: Chief AI Officer Reportees: Individual Contributor Role Minimum Qualification: Bachelor’s or Master’s/PhD in Artificial Intelligence, Machine Learning, Data Science, Computer Science, or a related field. Advanced certifications in AI/ML frameworks, GenAI, Agentic AI, cloud AI platforms, or AI ethics preferred. Experience: A minimum of 15+ years of experience in AI/ML, with a proven track record in deploying AI-driven solutions – and deep expertise and specialty in Generative AI (use of proprietary and open source LLMs/ SLMs/ VLMs/ LCMs, experience in RAG, fine tuning and developing derived domain-specific models, multi agent frameworks and agentic architecture, LLMOps) Expertise in implementing the Data Solutions using Python programming, pandas, numpy, sklearn, pytorch, tensorflow, Data Visualizations, Machine Learning Algorithms, Deep Learning architectures, LLMs, SLM, VLM, LCM, generative AI, agents, prompt engineering, NLP, Transformer Architectures, GPTs, Computer Vision, and ML Ops for both unstructured and structured data, synthetic data generation Experience in building generic and customized Conversational AI Assistants Experience working in innovation-driven, research-intensive, or AI R&D-focused organizations. Experience in building AI solutions for Construction or Manufacturing, Oil & Gas industries would be good to have. Objective / Purpose: The Principal Data Scientist will drive breakthrough AI innovation for pan-L&T businesses, by developing the scalable, responsible, and production-ready Gen AI and Agentic AI models using RAG with multi LLMs and derived domain specific models where applicable. This role involves cutting-edge research, model deployment, AI infrastructure optimization, and AI strategy formulation to enhance business capabilities and user experiences. Key Responsibilities: AI Model Development & Deployment: Design, train, and deploy ML/DL models for predictive analytics, NLP, computer vision, generative AI and AI Agents. Applied AI Research & Innovation: Explore emerging AI technologies such as LLMs, RAG (Retrieval-Augmented Generation), fine tuning techniques, multi-modal AI, agentic architectures, reinforcement learning, and self-supervised learning with application-orientation. Model Optimization & Scalability: Optimize AI models for inference efficiency, explainability, and responsible AI compliance. AI Product Integration: Work collaboratively with business teams, data engineers, ML Ops teams, and software developers to integrate AI models into applications, APIs, and cloud platforms. AI Governance & Ethics: Ensure compliance with AI fairness, bias mitigation, and regulatory frameworks (GDPR, CCPA, AI Act). Cross-functional Collaboration: Partner with business teams, UX researchers, and domain experts to align AI solutions with real-world applications. AI Infrastructure & Automation: Develop automated pipelines, Agentic model monitoring, and CI/CD for AI Solutions . Technical Expertise: Machine Learning & Deep Learning: TensorFlow, PyTorch, Scikit-learn, Regression, Classification, clustering, Ensembling techniques – bagging, boosting, recommender systems, Probability distributions and data visualizations Generative AI & LLMs: OpenAI GPT, Google Gemini, Llama, Hugging Face Transformers, RAG, CAG, KAG, knowledge on Other LLMs, SLM, VLM, LCM, Langchain NLP & Speech AI: BERT, T5, Whisper Computer Vision: YOLO, OpenCV, CLIP, Convolutional Neural Networks(CNN). ML Ops & AI Infrastructure: ML flow, Kubeflow, Azure ML. Data Platforms : Databricks, Pinecone, FAISS, Elasticsearch, Semantic Search, Milvus, Weaviate Cloud AI Services: Azure Open AI & Cognitive Services. Explainability & Responsible AI: SHAP, LIME, FairML. Prompt Engineering Publish internal/external research papers, contribute to AI patents, and present at industry conferences and workshops. Evaluate Open-Source AI/ML frameworks and commercial AI products to enhance the organization’s AI capabilities. Behavioural Attributes: Business Acumen – Ability to align AI solutions with business goals. Market Foresight – Identifying AI trends and emerging technologies. Change Management – Driving AI adoption in dynamic environments. Customer Centricity – Designing AI solutions with user impact in mind. Collaborative Leadership – Working cross-functionally with diverse teams. Ability to Drive Innovation & Continuous Improvement – Research-driven AI development. Key Value Drivers: Advancing AI-driven business transformation – securely, optimally and at scale Reducing time-to-value for AI-powered innovations. Enabling AI governance, compliance, and ethical AI adoption. Future Career Path : The future career path will be establishing oneself as a world class SME having deep domain experience and thought leadership around application of next gen AI technologies in the construction, energy and manufacturing domains. Career would progress from technology specialization into leadership roles, in various challenging positions such as Head – AI Strategy and Chief AI Officer, in driving the enterprise AI strategies, governance, and innovation for various ICs/BUs across the pan L&T Businesses.

Job Title: Rebar Detailer & RebarCAD/SofiCAD Trainer Location: Chennai / Thiruchengode / Kerala Experience: 2–8 Years Employment Type: Full-Time 1. Rebar Detailer – 2D Detailing (RebarCAD/SofiCAD) Key Responsibilities: Prepare 2D rebar detailing drawings, bar bending schedules (BBS), and placing drawings using RebarCAD or SofiCAD. Read and interpret structural and architectural drawings for rebar detailing. Coordinate with structural engineers and project managers to ensure accuracy and quality. Ensure adherence to project specifications, industry codes, and client standards. Review and correct shop drawings based on redlines or quality check feedback. Deliver accurate and timely outputs in line with project timelines. Requirements: 2+ years of hands-on experience in 2D rebar detailing using RebarCAD or SofiCAD. Strong understanding of reinforcement standards (US,UK,Europe). Ability to work in a team environment and communicate effectively with stakeholders. Degree in Civil Engineering or related field. 2. RebarCAD/SofiCAD Trainer (Internal Technical Trainer) Key Responsibilities: Conduct structured training sessions for new joiners and junior detailers on RebarCAD or SofiCAD software. Develop training modules, manuals, and best practice guides for rebar detailing processes. Offer technical support and mentoring to the detailing team on software usage and productivity improvement. Assess trainees’ performance and provide continuous learning support. Stay updated on software updates and new industry standards, incorporating them into training content. Requirements: 5+ years of experience in rebar detailing, with deep expertise in RebarCAD or SofiCAD. Prior experience in training or mentoring team members is preferred. Familiarity with codes and standards (US,UK,Europe). Passion for teaching, guiding, and building technical capabilities within the team. Preferred Qualifications for Both Roles: Civil engineering background (B.E/B.Tech). Strong attention to detail and quality. Flexibility to relocate or work from Chennai, Thiruchengode, or Kerala based on business needs. Interested candidates kindly forward your resume to swetha.s@thompsonshr.com

About Company: our client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.They helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.Powering this growth is our clients talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications. Job Description: Job Title: Python Developer Location : Pan India Experience: 5+ yrs. Employment Type: Contract to hire. Work Mode: Hybrid Notice Period: - Immediate joiners only Roles and Responsibilities: Minimum 5+ years of overall experience Strong experience with at least one of the following languages: Python Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus

Role Overview: We are looking for a highly skilled AI Engineer who has hands-on experience developing applications using Reinforcement Learning (RL) and Large Language Models (LLMs). You will work closely with our research, product, and engineering teams to design, develop, and deploy intelligent systems at scale. Responsibilities: Design and develop AI systems using LLMs (e.g., GPT, LLaMA, Claude) and RL techniques. Build and fine-tune models for various tasks such as summarization, reasoning, dialogue generation, and decision-making. Apply RL and RLHF (Reinforcement Learning with Human Feedback) for continuous model improvement. Collaborate with data scientists and engineers to deploy models into production environments. Conduct experiments, analyze model performance, and iterate on solutions. Stay updated with the latest research in generative AI, RL, and NLP. Requirements: 3+ years of experience in AI/ML engineering, preferably with production-level deployments. Strong experience with LLMs, including fine-tuning, prompt engineering, or API integration. Solid understanding and practical experience with RL algorithms (e.g., PPO, A3C, Q-Learning). Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace Transformers). Experience with cloud platforms (AWS, GCP, or Azure) and MLOps practices. Strong problem-solving and communication skills. Nice to Have: Experience with RLHF techniques and human feedback data pipelines. Familiarity with vector databases and retrieval-augmented generation (RAG). Contributions to open-source AI projects or research publications.

About Client : Our client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. They helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Powering this growth is our clients talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications. Job Title: Sr. Lead Manager Location: Pan India Experience:6+ years Employment Type: Contract to hire Work Mode: Remote Notice Period: Immediate joiners Requirements: 7+ years in engineering, data science, or ML roles with demonstrated end-to-end ownership Proven ability to own and deliver complex, ambiguous projects end-to-end Clear communicator who handles complexity and cross-functional work with maturity Strong hands-on coding skills in Python; able to lead by example Excellent judgment and accountability, you are someone others can rely on [Bonus] Experience working on LLM-powered products, intelligent agents, or autonomous systems

Purpose Of The Position We are looking for a highly experienced Senior Data Scientist with a deep understanding of AI/ML technologies, including Recommendation Systems, Chatbots, Generative AI, and Large Language Models (LLMs). The ideal candidate will have hands-on experience in applying these technologies to solve real-world problems, working with large datasets, and collaborating with cross-functional teams to deliver innovative data-driven Responsibilities : Design, develop, and optimize recommendation systems to enhance user experience and engagement across platforms. Build and deploy chatbots with advanced NLP capabilities for automating customer interactions and improving business processes. Lead the development of Generative AI solutions, including content generation and automation. Research and apply Large Language Models (LLMs) like GPT, BERT, and others to solve business-specific problems and create innovative solutions. Collaborate with engineering teams to integrate machine learning models into production systems, ensuring scalability and reliability. Perform data exploration, analysis, and feature engineering to improve model performance. Stay updated on the latest advancements in AI and ML technologies, proposing new techniques and tools to enhance our product capabilities. Mentor junior data scientists and engineers, providing guidance on best practices in AI/ML model development and deployment. Collaborate with product managers and business stakeholders to translate business goals into AI-driven solutions. Work on model interpretability, explainability, and ensure models are built in an ethical and responsible Skills And Qualifications : 5+ years of experience in data science or machine learning, with a focus on building and deploying AI models. Strong expertise in designing and developing recommendation systems and working with collaborative filtering, matrix factorization, and content-based filtering techniques. Hands-on experience with chatbots using Natural Language Processing (NLP) and conversational AI frameworks. In-depth understanding of Generative AI, including transformer-based models and GANs (Generative Adversarial Networks). Experience working with Large Language Models (LLMs) such as GPT, BERT, T5, etc. Proficiency in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn. Strong programming skills in Python and libraries such as NumPy, Pandas, Hugging Face, and NLTK. Experience with cloud platforms like AWS, GCP, or Azure for deploying and scaling machine learning models. Solid understanding of data pipelines, ETL processes, and working with large datasets using SQL or NoSQL databases. Knowledge of MLOps and experience deploying models in production environments. Strong problem-solving skills and a deep understanding of statistical methods and Qualifications : Experience with Reinforcement Learning and Recommender Systems personalization techniques. Experience of working with AWS Bedrock services. Familiarity with ethical AI and model bias mitigation techniques. Experience with A/B testing, experimentation, and performance tracking for AI models in production. Prior experience mentoring junior data scientists and leading AI/ML projects. Strong communication and collaboration skills, with the ability to convey complex technical concepts to non-technical Join Opportunity to be part of a rapidly growing, innovative product-based company. Collaborate with a talented, driven team focused on building high-quality software solutions. Competitive compensation and benefits package. (ref:hirist.tech)