2079 Reinforcement Jobs - Page 25

Key Responsibilities: Identify, define, and deliver AI/ML and GenAI use cases in collaboration with business and technical stakeholders Design, develop, and deploy models using Google Cloud’s Vertex AI platform Fine-tune and evaluate Large Language Models (LLMs) for domain-specific applications Ensure responsible AI practices and governance in solution delivery Collaborate with data engineers and architects to ensure robust and scalable pipelines Document workflows and experiments for reproducibility and handover readiness Apply strong knowledge in supervised, unsupervised, and reinforcement learning Utilize Vertex AI features including AutoML, Pipelines, Model Registry, and Generative AI Studio Work on GenAI workflows: prompt engineering, fine-tuning, and model evaluation Develop in Python using ML frameworks like TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers Communicate and collaborate across product, data, and business teams Required Skills: Hands-on experience with Vertex AI on GCP – model training, deployment, endpoint management, MLOps Practical knowledge of PaLM, Gemini, or other LLMs via Vertex AI or open-source Proficiency in Python for ML pipeline scripting, data preprocessing, and evaluation Expertise in ML/GenAI libraries: scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain Exposure to CI/CD for ML, containerization using Docker/Kubernetes Familiarity with GCP services like BigQuery, Cloud Functions, Cloud Storage Experience with media datasets and real-world ML applications in OTT, DTH, Web platforms Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields 3+ years of hands-on experience in ML/AI or GenAI projects Any relevant certifications in ML, GCP, or GenAI technologies are a plus

- Experience in automating, deploying, and supporting infrastructure - Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust - Experience with Linux/Unix The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive engineers to play a pivotal role in the development/maintenance of industry-leading multi-modal and multi-lingual large language models (LLM). AGI team's mission is to leverage our hyper-scalable, general-purpose large model training and inference systems to develop and deploy sensory AI foundational models that revolutionize machine perception, interpretation and interaction, with humans and with the physical world. We believe in “Work Hard. Have Fun. Make History” value by having a strong focus on sharing learning experiences from the front line with the development teams. So, the options for people in the team are vast. If you like mastering a domain and going deep, we need you. If you can juggle three tasks and coordinate with multiple people in the heat of an incident, we need you. If you love the benefits of process and methodical improvement, you will love it here. If you want to keep your head down, headphones on, and bash out code to support the team, we have a spot for you too. You will be required to deeply understand technology landscapes, and evaluate the use of new technologies. You will be influential within your team and work with peers and senior leaders to define and revise the standards for operational excellence across systems. You will consistently tackle abstract issues that span multiple functional areas and drive your team to push for improvements that can scale across other teams, services, and platforms. Key job responsibilities Provide support for cluster and node management, ensuring smooth operation of LLM infrastructure. Continuously improve and automate our cluster/capacity/maintenance upgrades. Develop automation tools for improving operational excellence. Work on operations and maintenance driven coding projects, primarily in Ruby, Rails, Java, Python, or shell scripts, AWS, web technologies projects. Should have hands-on experience in Kubernetes and expertise in different AWS services. Drive Company Wide Campaigns with Support and Engineering teams and drive it to closure. Participate in design and code reviews and identify bottlenecks. Troubleshoot and research root causes throughly and resolve defects. About the team Join our AGI team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape the future of artificial intelligence. Experience with CI/CD pipelines build processes 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.

We are hiring for Structural Reinforcement Design and Detailers for German Projects Junior Engineer Senior Engineer Checking Engineer Team Leader Project Manager & HR Generalist Experience in UK / Australian / European standards is also preferred. Job Type: Full-time Pay: ₹20,002.04 - ₹54,186.50 per month Benefits: Paid sick time Provident Fund Work Location: In person

Job Summary: We are looking for a highly skilled and motivated AI/ML Expert to lead the development and deployment of advanced machine learning models and AI solutions. The ideal candidate will have strong experience in data science, deep learning, and AI engineering, and will be responsible for designing intelligent systems that solve real-world business problems. Key Responsibilities: Design, build, and deploy scalable machine learning and deep learning models. Work on projects involving supervised, unsupervised, and reinforcement learning. Collect, clean, and preprocess large-scale structured and unstructured datasets. Research and prototype cutting-edge AI techniques (e.g., NLP, computer vision, generative models). Collaborate with data engineers, product managers, and software developers to integrate AI solutions into production. Monitor and evaluate model performance, and implement improvements as needed. Stay up-to-date with the latest AI/ML research, tools, and technologies. Develop and maintain reusable ML pipelines and model lifecycle management. Ensure ethical AI development practices, including model interpretability and fairness. Required Qualifications: Graduate BE/B.Tech and Postgraduate - MCA/MTech with specialization in computers /Electronics /IT or M.Sc.in CS/IT/Physics/Mathematics/Stats / Electronics Language-: JS , Python , HTML5/CSS, Platform-: MySQL , PostgreSQL, Tools-: ML Tools and Libraries, Expertise-: API Integration Expert 3+ years of experience in AI/ML development and deployment . Proficiency in programming languages such as Python (e.g., scikit-learn, TensorFlow, PyTorch), R, or Julia. Experience with deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Strong understanding of statistics, linear algebra, and optimization techniques. Experience with cloud platforms like AWS, GCP, or Azure. Proficient in using data science tools and libraries (NumPy, Pandas, OpenCV, spaCy, Hugging Face, etc.). Job Type: Contractual / Temporary Contract length: 12 months Pay: ₹85,000.00 - ₹90,000.00 per month Benefits: Provident Fund Schedule: Day shift Work Location: In person

We are seeking a Site Engineer with strong knowledge on-site civil construction experience to oversee and coordinate construction activities for a 1.6 GW solar module manufacturing plant. The candidate will ensure timely execution, quality compliance, and alignment with project. Supervise and monitor day-to-day site activities related to civil construction (PEB, RCC, foundations, utility trenches, drainage, roads, etc.). Coordinate between contractors, vendors, and project management teams. Ensure construction work follows approved drawings, quality standards, and safety norms. Review structural and architectural drawings; flag technical deviations or execution issues. Monitor progress and prepare daily/weekly progress reports. Support installation of mechanical utilities (compressed air, HVAC, chilled water, fire-fighting) interfacing with civil foundations and supports. Manage civil works related to plant infrastructure (admin block, utilities, internal roads, etc.). Ensure resource optimization and resolve bottlenecks at site. Handle quality checks (steel, concrete, reinforcement, workmanship). Coordinate with design, procurement, and execution teams to ensure timely inputs and clearances. Job Type: Full-time Pay: ₹10,524.49 - ₹37,546.87 per month Schedule: Day shift Work Location: In person Application Deadline: 15/07/2025

Company Description ANJNEY TUBES INDIA, established in 1995, specializes in the manufacturing of innovative Non-metallic Multy Layer Glass Reinforcement pipes and fittings for various industrial applications. The company leverages “PATENTED” technology and modern infrastructure to continuously innovate its product offerings. ANJNEY Tubes India's state-of-the-art manufacturing setup in India allows it to introduce new products every five years, ensuring growth and progress. With a Channel Partners in over 35 locations across India and abroad, the company aims to offer its products at competitive rates while maintaining high quality standards. Role Description This is a full-time on-site role for an Assistant Purchasing Manager located in Satelite Ahmedabad. The Assistant Purchasing Manager will be responsible for sourcing materials, negotiating with suppliers, managing inventory levels, and ensuring timely delivery of materials. The role also involves preparing purchase orders, maintaining records, and collaborating with various departments to meet the company's purchasing needs. Additionally, the Assistant Purchasing Manager will monitor market trends and develop strategies to optimize costs and operational efficiency. Qualifications Proficiency in sourcing materials, services and supplier negotiation Experience in managing inventory levels and ensuring timely delivery Ability to prepare purchase orders and maintain accurate records Strong collaboration skills with various departments Knowledge of market trends and cost optimization strategies Excellent communication and organizational skills Ability to work on-site in Ahmedabad Bachelor's degree in Supply Chain Management, Business Administration, or related field

About Flutter Entertainment Flutter Entertainment is the world’s largest sports betting and iGaming operator with 13.9 million average monthly players worldwide and an annual revenue of $14Bn in 2024. We have a portfolio of iconic brands, including Paddy Power, Betfair, FanDuel, PokerStars, Junglee Games and Sportsbet. Flutter Entertainment is listed on both the New York Stock Exchange (NYSE) and the London Stock Exchange (LSE). In 2024, we were recognized in TIME’s 100 Most Influential Companies under the 'Pioneers' category—a testament to our innovation and impact. Our ambition is to transform global gaming and betting to deliver long-term growth and a positive, sustainable future for our sector. Together, we are Changing the Game! Working at Flutter is a chance to work with a growing portfolio of brands across a range of opportunities. We will support you every step of the way to help you grow. Just like our brands, we ensure our people have everything they need to succeed. Flutter Entertainment India Our Hyderabad office, located in one of India’s premier technology parks is the Global Capability Center for Flutter Entertainment. A center of expertise and innovation, this hub is now home to over 900+ talented colleagues working across Customer Service Operations, Data and Technology, Finance Operations, HR Operations, Procurement Operations, and other key enabling functions. We are committed to crafting impactful solutions for all our brands and divisions to power Flutter's incredible growth and global impact. With the scale of a leader and the mindset of a challenger, we’re dedicated to creating a brighter future for our customers, colleagues, and communities. Overview Of The Role Our Data Science and AI Competence Center is looking for a motivated and versatile expert, who will work on developing and deploying AI & machine learning solutions for our business. As a Senior Data Scientist (ML and AI) , you will collaborate with an industry-leading team and enhance your skills in delivering groundbreaking solutions to continue driving innovation. This role follows a hybrid approach to working, allowing you to combine working from home with working in our modern office in Hyderabad, India . What You Will Do Across areas such as Sports Betting, Gaming, and other products, you will have the opportunity to develop advanced ML Engineering solutions to streamline AI solutions , deploying a variety of algorithms in production and set ML-Ops standard together with the Data Scientists. Work with diverse teams to become an architect of innovation with AI, driving the company's strategic edge by transforming raw data into actionable insights in this dynamic and thrilling environment. To Excel In This Role, You Will Need A degree qualified in a STEM subject along with 4 t o 6 years of experience as a Data Scientist or ML Engineer . Strong proficiency in PySpark with a deep understanding of statistical and machine learning techniques Experience with “Big Data” platforms (Google Cloud, Amazon Web Services, Azure, Oracle Cloud) and engines (Apache Hadoop, Apache Kafka, Apache Spark) Experience delivering several production grade machine learning products in an academic or corporate environment is crucial. Hands-on experience in ML Techniques, such as tree-based learners, deep learning (e.g. CNNs, RNNs, GNNs & Transformers), reinforcement learning and/or unsupervised methods Ability to manage ML-Ops lifecycle (deploy-monitor-maintain-evolve) Knowledge of ML-Ops/DevOps technology (Docker, Kubernetes, CI/CD pipeline…) Benefits We Offer Aside from a generous base salary, we have a phenomenal benefits and rewards program that is designed to encourage personal and career development. This Package Includes Access to Learnerbly, Udemy, and a Self-Development Fund for upskilling. Career growth through Internal Mobility Programs. Comprehensive Health Insurance for you and dependents. Well-Being Fund and 24/7 Assistance Program for holistic wellness. Hybrid Model: 2 office days/week with flexible leave policies, including maternity, paternity, and sabbaticals. Free Meals, Cab Allowance, and a Home Office Setup Allowance. Employer PF Contribution, gratuity, Personal Accident & Life Insurance. Sharesave Plan to purchase discounted company shares. Volunteering Leave and Team Events to build connections. Recognition through the Kudos Platform and Referral Rewards. Why Choose Us Flutter is an equal-opportunity employer and values the unique perspectives and experiences that everyone brings. Our message to colleagues and stakeholders is clear: everyone is welcome, and every voice matters. We have ambitious growth plans and goals for the future. Here's an opportunity for you to play a pivotal role in shaping the future of Flutter Entertainment India .

As a Talent Acquisition Associate focused on product hiring , you will play a critical role in shaping high-impact product teams by identifying and attracting top-tier talent across Engineering, Design, Product Strategy, and Business Operations. This is a full-cycle recruiting role where you’ll own the process end-to-end—from sourcing to closing candidates—working in close collaboration with Product Owners, Engineering Managers, and Leadership to scale our in-house product teams with speed and precision. Job Title: Talent Acquisition Intern Employment type :Internship + PPO Location : Hyderabad (Hybrid) What You’ll Be Doing: Take complete ownership of the end-to-end recruitment process for product-centric roles across Engineering, Design, and Product Strategy functions Partner closely with hiring managers to understand team needs, product roadmaps, and ideal candidate profiles Actively source top talent via LinkedIn, job boards, communities, and internal referrals Screen and assess candidates for both technical proficiency and product mindset , ensuring strong alignment with our product development goals Schedule and coordinate interviews, gather feedback, and manage communication loops to move candidates quickly through the funnel Drive a seamless, high-touch candidate experience , from initial contact to offer acceptance Work flexible hours as needed to support distributed product teams and urgent hiring spikes If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role. To know more about Techolution, visit our website: www.techolution.com If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role.To know more about Techolution, visit our website: www.techolution.com About Techolution: Techolution is a next gen AI consulting firm on track to become one of the most admired brands in the world for "AI done right". Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve. At Techolution, we build custom AI solutions that produce revolutionary outcomes for enterprises worldwide. Specializing in "AI Done Right," we leverage our expertise and proprietary IP to transform operations and help achieve business goals efficiently. We are honored to have recently received the prestigious Inc 500 Best In Business award , a testament to our commitment to excellence. We were also awarded - AI Solution Provider of the Year by The AI Summit 2023, Platinum sponsor at Advantage DoD 2024 Symposium and a lot more exciting stuff! While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we serve. Our thought leader, Luv Tulsidas, wrote and published a book in collaboration with Forbes, “Failing Fast? Secrets to succeed fast with AI”. Refer here for more details on the content - https://www.luvtulsidas.com/ Let's explore further! Uncover our unique AI accelerators with us: 1. Enterprise LLM Studio : Our no-code DIY AI studio for enterprises. Choose an LLM, connect it to your data, and create an expert-level agent in 20 minutes. 2. AppMod. AI : Modernizes ancient tech stacks quickly, achieving over 80% autonomy for major brands! 3. ComputerVision. AI : Our ComputerVision. AI Offers customizable Computer Vision and Audio AI models, plus DIY tools and a Real-Time Co-Pilot for human-AI collaboration! 4. Robotics and Edge Device Fabrication : Provides comprehensive robotics, hardware fabrication, and AI-integrated edge design services. 5. RLEF AI Platform : Our proven Reinforcement Learning with Expert Feedback (RLEF) approach bridges Lab-Grade AI to Real-World AI. Some videos you wanna watch! Computer Vision demo at The AI Summit New York 2023 Life at Techolution GoogleNext 2023 Ai4 - Artificial Intelligence Conferences 2023 WaWa - Solving Food Wastage Saving lives - Brooklyn Hospital Innovation Done Right on Google Cloud Techolution featured on Worldwide Business with KathyIreland Techolution presented by ION World’s Greatest Visit us @ www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology.

We’re seeking a skilled Data Scientist with expertise in SQL, Python, AWS SageMaker , and Commercial Analytics to contribute to Team. You’ll design predictive models, uncover actionable insights, and deploy scalable solutions to recommend optimal customer interactions. This role is ideal for a problem-solver passionate about turning data into strategic value. Key Responsibilities Model Development: Build, validate, and deploy machine learning models (e.g., recommendation engines, propensity models) using Python and AWS SageMaker to drive next-best-action decisions. Data Pipeline Design: Develop efficient SQL queries and ETL pipelines to process large-scale commercial datasets (e.g., customer behavior, transactional data). Commercial Analytics: Analyze customer segmentation, lifetime value (CLV), and campaign performance to identify high-impact NBA opportunities. Cross-functional Collaboration: Partner with marketing, sales, and product teams to align models with business objectives and operational workflows. Cloud Integration: Optimize model deployment on AWS, ensuring scalability, monitoring, and performance tuning. Insight Communication: Translate technical outcomes into actionable recommendations for non-technical stakeholders through visualizations and presentations. Continuous Improvement: Stay updated on advancements in AI/ML, cloud technologies, and commercial analytics trends. Qualifications Education: Bachelor’s/Master’s in Data Science, Computer Science, Statistics, or a related field. Experience: 3-4 years in data science, with a focus on commercial/customer analytics (e.g., pharma, retail, healthcare, e-commerce, or B2B sectors). Technical Skills: Proficiency in SQL (complex queries, optimization) and Python (Pandas, NumPy, Scikit-learn). Hands-on experience with AWS SageMaker (model training, deployment) and cloud services (S3, Lambda, EC2). Familiarity with ML frameworks (XGBoost, TensorFlow/PyTorch) and A/B testing methodologies. Analytical Mindset: Strong problem-solving skills with the ability to derive insights from ambiguous data. Communication: Ability to articulate technical concepts to business stakeholders. Preferred Qualifications AWS Certified Machine Learning Specialty or similar certifications. Experience with big data tools (Spark, Redshift) or ML Ops practices. Knowledge of NLP, reinforcement learning, or real-time recommendation systems. Exposure to BI tools (Tableau, Power BI) for dashboarding.

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 Service Implementation Location : Pan India Experience: 5+ yrs. Employment Type: Contract to hire. Work Mode: Remote Notice Period: - Immediate joiners only Roles and Responsibilities: 3+ years of experience with practical, production-grade Python Hands-on experience with Test Driven Development (TDD) Proven ability to build and scale large systems at high velocity Strong fundamentals in database schema design and data modeling Able to work at a rapid pace without sacrificing clarity or correctness [Bonus] Familiarity with LLM function calling protocols and paradigms

Senior Artificial Intelligence Developer Location: Pune Experience: 3–8 Years Company: Asmadiya Technologies Pvt. Ltd. About the Role Asmadiya Technologies is seeking a Senior AI Developer to lead the design and deployment of advanced AI solutions across enterprise-grade applications. You will architect intelligent systems, mentor junior engineers, and drive innovation in the areas of machine learning, deep learning, computer vision, and large language models. If you're ready to turn AI research into impactful production systems, we want to work with you. Key Responsibilities Lead end-to-end design, development, and deployment of scalable AI/ML solutions in production environments. Architect AI pipelines and integrate models with enterprise systems and APIs. Collaborate cross-functionally with product managers, data engineers, and software teams to align AI initiatives with business goals. Optimize models for performance, scalability, and interpretability using MLOps practices. Conduct deep research and experimentation with the latest AI techniques (e.g., Transformers, Reinforcement Learning, GenAI). Review code, mentor team members, and set technical direction for AI projects. Own model governance, ethical AI considerations, and post-deployment monitoring. Required Skills & Qualifications Bachelor’s/Master’s in Computer Science, Artificial Intelligence, Data Science, or a related field. 3–8 years of hands-on experience in AI/ML, including production model deployment. Advanced Python skills and deep expertise in libraries such as TensorFlow, PyTorch, Hugging Face, and Scikit-learn. Proven experience in deploying models to production (REST APIs, containers, cloud ML services). Deep understanding of ML algorithms, optimization, statistical modeling, and deep learning. Familiarity with tools like MLflow, Docker, Kubernetes, Airflow, and CI/CD pipelines for ML. Experience with cloud AI/ML services (AWS SageMaker, GCP Vertex AI, or Azure ML). Preferred Skills Hands-on with LLMs and GenAI tools (OpenAI, LangChain, RAG architecture, vector DBs). Experience in NLP, computer vision, or recommendation systems at scale. Knowledge of model explainability (SHAP, LIME), bias detection, and AI ethics. Strong understanding of software engineering best practices, microservices, and API architecture. What We Offer ✅ Leadership role in cutting-edge AI product development ✅ Influence on AI strategy and technical roadmap ✅ Exposure to enterprise and global AI projects ✅ Fast-paced, growth-focused work environment ✅ Flexible work hours, supportive leadership, and a collaborative team Apply now by sending your resume to: careers@asmadiya.com

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. 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 Lead 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.

Job Description Brief about Bert Labs : Bert Labs is an International Award Winning, one of the fastest growing AI Innovation Companies in the world. Founded in 2017, Bert Labs is growing at 300% year on year to be USD 1 Billion global revenue by 2027-28. And bringing in Business Transformation impact across industries. Bert Labs is bringing USD 360 million in energy cost savings and 60 million Tonnes of carbon footprint reduction with 100+ clients in India & globally. And USD 460 million in production cost savings. In the next 4 years, our platform will bring in USD 1.6 billion in energy cost savings and 260 million Tonnes of carbon footprint reduction with 600+ clients. And production cost savings of USD 2 billion. This will lead to USD 1 Billion revenues by FY 2027-28 end for an IPO. At Bert Labs, we are leading ClimateTech as we tackle complex challenges through Bert Geminus First Principles, powered by Deep Neural Network Operational Digital Twins prediction, and Bert Optimus Reinforcement Learning optimization. These are facilitated by Bert Nova Multi-Tenant Distributed Computing, Bert Maximus IoT Devices, and Bert Qrious IoT-powered Wireless Sensor Network, all part of the Bert Platform Solution , driving Business Transformation Goals on Sustainability, Energy Efficiency Improvement, Net Zero, and Production. We consistently innovate, filing 4-5 patents monthly, totalling 50-60 patents annually across various regions. Anticipating accelerated innovation, we aim to file 100 patents per year in FY 2025-26, 150 patents in FY 2026-27, and a remarkable 400 patents in FY 2027-28. At Bert Labs , we believe in challenging the status quo every day. We do this with the power of diversity, inclusion, and collaboration. By connecting different perspectives, we can imagine new possibilities, inspire innovation, and release the full potential of our people. Our employee experience includes appreciation, belonging, growth, and purpose for everyone. We are committed to a diverse and inclusive workplace. At Bert Labs, we are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. Welcome to Bert Labs family. Overview We are seeking an experienced Senior Research Designer to join our innovative team in Bangalore. The ideal candidate should have a strong understanding of 3D perspectives and an engineering background . This role requires a blend of design research, visual storytelling, and prototyping to create impactful solutions that align with Bert Labs' vision. Requirement Conduct research and analysis to identify design opportunities and industry trends. Capture visual and technological trends to inform design decisions. Create visually compelling designs for our integrated features. Develop high-fidelity prototypes and interactive design solutions. Design infographics and data visualizations to communicate complex ideas effectively. Create and maintain design assets and style guides while ensuring adherence to brand guidelines. Work closely with the design team and project managers to convert concepts into proof of concepts (POCs). Collaborate with cross-functional teams to ensure design alignment and consistency. Innovate by creating design proposals and pitches that contribute to business growth. Required Qualifications 3 - 6 years of relevant industry experience UX research - study the client/product or service experience Collaboration - bring the best of solution Wireframing and UI prototyping - Test before you build UX writing - build workflows & architecture diagrams Visual communication - content creation and presentation User empathy - Apply Design Thinking skills Proven Communication Skill Experience with design systems and accessibility guidelines. Experience collaborating with front-end development teams. Familiarity with Agile design methodologies. (ref:hirist.tech)

Description The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive engineers to play a pivotal role in the development/maintenance of industry-leading multi-modal and multi-lingual large language models (LLM). AGI team's mission is to leverage our hyper-scalable, general-purpose large model training and inference systems to develop and deploy sensory AI foundational models that revolutionize machine perception, interpretation and interaction, with humans and with the physical world. We believe in “Work Hard. Have Fun. Make History” value by having a strong focus on sharing learning experiences from the front line with the development teams. So, the options for people in the team are vast. If you like mastering a domain and going deep, we need you. If you can juggle three tasks and coordinate with multiple people in the heat of an incident, we need you. If you love the benefits of process and methodical improvement, you will love it here. If you want to keep your head down, headphones on, and bash out code to support the team, we have a spot for you too. You will be required to deeply understand technology landscapes, and evaluate the use of new technologies. You will be influential within your team and work with peers and senior leaders to define and revise the standards for operational excellence across systems. You will consistently tackle abstract issues that span multiple functional areas and drive your team to push for improvements that can scale across other teams, services, and platforms. Key job responsibilities Provide support for cluster and node management, ensuring smooth operation of LLM infrastructure. Continuously improve and automate our cluster/capacity/maintenance upgrades. Develop automation tools for improving operational excellence. Work on operations and maintenance driven coding projects, primarily in Ruby, Rails, Java, Python, or shell scripts, AWS, web technologies projects. Should have hands-on experience in Kubernetes and expertise in different AWS services. Drive Company Wide Campaigns with Support and Engineering teams and drive it to closure. Participate in design and code reviews and identify bottlenecks. Troubleshoot and research root causes throughly and resolve defects. About The Team Join our AGI team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape the future of artificial intelligence. Basic Qualifications Experience in automating, deploying, and supporting infrastructure Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust Experience with Linux/Unix Preferred Qualifications Experience with CI/CD pipelines build processes 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 15 SEZ Job ID: A3031801

At ZoomInfo, we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. We value your take charge, take initiative, get stuff done attitude and will help you unlock your growth potential. One great choice can change everything. Thrive with us at ZoomInfo. At ZoomInfo we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. If you are collaborative, take initiative, and get stuff done we want to talk to you! We have high aspirations for the company and are looking for the right people to help fulfill the dream. We strive to continually improve every aspect of the company and use cutting-edge technologies and processes to delight our customers and rapidly increase revenue. About The Role: Enterprise Apps AI Center of Excellence (CoE) is a newly established team that operates with the agility of a startup to generate substantial value for Finance through Artificial Intelligence. Going beyond simple efficiency improvements, we focus on building innovative AI solutions that unlock new capabilities and insights for the Enterprise Applications organization. Our mission is to transform business processes, enhance strategic decision-making, and drive significant value using advanced AI applications. The team will be responsible for identifying, analyzing, developing, and deploying high-impact use cases. The ultimate goal is to empower the enterprise business applications users with cutting-edge AI, enabling more strategic and effective operations. As the Senior Engineer, you will lead our team in conceptualizing, developing, and deploying impactful AI/ML solutions that revolutionize finance processes. You will be accountable for the entire AI solution lifecycle – from ideation and requirements gathering to development, implementation, and ongoing support. This role involves leading and supporting technically a geographically diverse team located in the US and India. Identify and POC efficiency opportunities for software development, software optimization / tech debt reduction, QA, UAT, Unit Testing, Regression Testing What You'll do: Hands-on experience with developing, debugging, training, evaluating, deploying at scale, optimizing and fine tuning state-of-the-art AI models especially in NLP, Generative AI with Python, PyTorch, TensorFlow, Keras, ML algorithms (supervised, unsupervised, reinforcement learning), Gen AI frameworks (GPT-4, Llama, Claude, Gemini, Hugging Face, LangChain) Deep expertise in Neural Networks, Deep Learning, Conversational AI such as ChatBots, IVA, AgentAssist & NLP (LLMs, Transformers, RNNs, Semantic Search), Prompt Engineering Hands-on experience with AIOps , MLOps, DataOps in build the production like AI/ML pipelines with KubeFlow, MLFlow, AutoML on cloud platforms (AWS, Azure, GCP) Hands-on experience with AI-powered search (vector db, semantic search) and Microservices development - Java, Python, Spring Boot and NoSQL. Comprehensive experience with AI/ML advancements such as building the Multimodal AI, Advanced development with AutoML, Agentic AI, AI Integration, AI CyberSecurity and AI powered automation. Hands-on experience with data modelling, data processing with NLP techniques in Data Science to extract the insights. Hands-on experience with data pipelines, data warehousing, and data governance for building and deploying ML models. Responsible for proactive research in AI/ML space for the advancements and new industry trends and lead AI/ML & Data initiatives, to identify the business opportunities and critical AI use cases to deliver the AI/ML end-to-end solutions in finance business applications. Should be able to articulate the potential ROI and benefits of proposed AI solutions. Collaborate with technology, product, and data teams to seamlessly integrate validated AI solutions into existing finance workflows, clearly communicating technical details. Provide technical leadership and mentorship to the engineering team, fostering a culture of innovation and continuous learning. Utilize advanced statistical analysis and deep learning machine learning algorithms to address finance-related challenges and improve internal processes and strategies. What you bring: Minimum of 8 years hands-on experience in efficiently driving data science and/or AI/ML use cases, with a primary focus in the domain of finance and accounting. Strong understanding of software development lifecycle (SDLC) and standard methodologies for coding, design, testing, and deployment. Bachelor's or Master’s degree in Computer Science, Software Engineering, or in Statistics, Applied Mathematics, or an equivalent quantitative field. Excellent technical, problem-solving, and communication skills. Ability to analyze and resolve difficult technical issues quickly in a high-pressure environment. Experience working and presenting proposals to executives in a clear and compelling way Strong proficiency in modern programming languages (e.g., Java, Python) and frameworks (e.g., React, Node.js) to build AI/ML solutions in finance applications. Exposure to integration platforms such Boomi Strong Excel skills (required). Experience with SQL, Tableau, or other BI tools for extracting and visualizing data is a plus. About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.

Job Brief : Drive precast bay operations end-to-end—plan and meet daily/weekly targets, optimize resources via plan-vs-actual huddles, ensure quality, safety, and on-time delivery, lead Kaizen improvements, manage stakeholders, and develop multi-skilled teams. Job Location : Bawla , Ahmedabad Roles and Responsibilities: -Drive daily, weekly and monthly production targets; ensure on-time delivery of precast elements -Oversee end-to-end operations for your bay—planning, fabrication, QA/QC, logistics, and dispatch -Facilitate “plan-vs-actual” huddles; adjust manpower and machine allocation dynamically -Review BBS/MEP drawings, quantify materials, and validate fabrication accuracy -Maintain uninterrupted raw-material flow by coordinating with Stores and external reinforcement/formwork agencies -Manage finished-goods stockyard: staging, inventory accuracy, and readiness for dispatch -Lead root-cause analysis for quality deviations and implement countermeasures—embed “right-first-time” culture -Prepare and present daily/weekly production, quality, and cost-efficiency dashboards to the Reporting Manager -Serve as client liaison for assigned bay—resolve technical queries, communicate status, and secure feedback -Champion continuous-improvement Kaizen events to reduce cycle time, scrap, and operational spend -Ensure 100% compliance with safety protocols, statutory audits, and internal/external quality inspections -Mentor and develop your team—conduct coaching, skills assessments, and cross-training to build multi-skilled operators Education Qualification: Diploma / B.E. Civil Work Experience: -Minimum 10 Years of experience in precast industry for Diploma – Civil -Minimum 08 Years of experience in precast industry for B.E – Civil -Handled a team of min. 40 – 50 people -Exposure to precast projects will be preferred Skills Sets: -Leadership skills -Manpower management skills -Problem solving -Knowledge of Prestress Concrete technology -Ability to handle multiple tasks -Computer proficiency -Basic AutoCAD 2D reading skills

Job Requirements Role: Python Developer Department/Function: Infromation Technology Job Purpose We are looking for a highly skilled Python Developer with solid experience in Artificial Intelligence (AI), Machine Learning (ML), and Generative AI. The ideal candidate will have hands-on experience working with GPT-4, transformer models, and deep learning frameworks, and a strong understanding of model fine-tuning, deployment, and inference. Roles And Responsibilities Design, develop, and maintain Python applications focused on AI/ML and generative AI. Build and fine-tune transformer-based models (e.g., GPT, BERT, T5) for various NLP and generative tasks. Work with large-scale datasets for training and evaluation. Implement model inference pipelines and scalable APIs using FastAPI, Flask, or similar. Collaborate with data scientists and ML engineers to build end-to-end AI solutions. Stay current with recent research and developments in the field of generative AI and ML. Technical Responsibilities Strong proficiency in Python and relevant libraries (NumPy, Pandas, Scikit-learn, etc.) 3–7+ years of experience in AI/ML development. Hands-on experience with transformer-based models, especially GPT-4, LLMs, or diffusion models. Familiarity with Hugging Face Transformers, OpenAI API, or similar frameworks. Experience with TensorFlow, PyTorch, or JAX. Experience deploying models using Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure). Strong problem-solving and algorithmic thinking. Familiarity with prompt engineering, fine-tuning, and reinforcement learning with human feedback (RLHF) is a plus. Added Advantage Contributions to open-source AI/ML projects. Experience with vector databases (e.g., FAISS, Pinecone, Weaviate). Experience building AI chatbots, copilots, or creative content generators. Knowledge of MLOps and model monitoring Educational Qualifications Graduation: Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA) Post-Graduation: Master of Science (M.Sc) /Master of Technology (M.Tech) / Master of Computer Applications (MCA)

Job Brief: Urbanaac is seeking a sharp and detail-oriented Precast Detailer to review, approve, and coordinate precast shop drawings produced by outsourced structural consultants. The role demands a strong understanding of BBS (Bar Bending Schedules), MEP conduit integration, and precast construction practices. The ideal candidate will serve as a crucial link between design consultants, the factory, and the site teams—ensuring constructability, accuracy, and error-free coordination. Job Location : Prahladnagar , Ahmedabad Roles And Responsibilities: -Thoroughly review and approve precast shop drawings, with a focus on: o Dimensional and structural accuracy o Bar Bending Schedules (BBS) o Conduit routing and MEP embed provisions o Consistency with architectural and service drawings -Coordinate with outsourced structural consultants to identify, document, and resolve errors, clashes, and inconsistencies. -Perform technical reviews of all incoming drawings before they are sent for production. -Highlight issues related to precast connections, lifting inserts, and handling/erection concerns. -Act as a technical liaison between consultants, factory production team, and site execution team. -Track and manage drawing revisions, consultant updates, and final approvals systematically. -Maintain documentation of changes, approvals, and coordination notes for internal records. Education/Qualification: Diploma / BE Civil Work Experience: Minimum 2 years of experience in precast detailing, structural drafting, or coordination. Skill Sets: -Strong command over AutoCAD, with the ability to read and cross-check structural, architectural, and MEP drawings. -Good understanding of precast production processes, reinforcement detailing, and MEP embed planning. -Ability to proactively identify and flag constructability issues. -Strong communication skills for effective coordination with consultants and internal teams. -Detail-oriented with a methodical approach to reviewing technical drawings. Preferred Skills: -Familiarity with Tekla Structures, Revit, or other BIM tools. -Understanding of IS codes and standards for precast structures. -Previous experience coordinating outsourced design teams or vendors.

Job Brief : Drive daily, weekly and monthly production planning and execution for precast elements; lead Plan-vs-Actual huddles; manage client liaison, resource allocation, cost control, agency coordination, KPI/safety compliance, and team efficiency reviews. Job Location : Bawla , Ahmedabad  Roles And Responsibilities: -Develop and implement daily, weekly and monthly production plans based on project requirements. -Run a short “plan-vs-actual” huddle each morning to capture deviations and adjust resources on the fly -Client handling for the products manufactured. -Manpower allocation and availability as per production activity. -Control operational costs and drive efficiency in production processes. -Manage the external agencies like Reinforcement, Production, Civil & Infrastructure related. -Track key metrics like production output, cycle time, rejection rate, etc. -Ensure all safety protocols are adhered by the team -Handle all audits and compliances in coordination with respective Dy Manager. -Develop and implement daily, weekly and monthly production plans based on project requirements. -Coordinate with the planning team and erection managers to ensure timely supply of precast elements -Work closely with QA/QC team to ensure all elements meet specified standards. -Conduct weekly and monthly meetings with the production team for production efficiency Education Qualification: Diploma - Civil / B.E. Civil Work Experience: -Minimum 14 Years of experience in precast industry for Diploma – Civil -Minimum 12 Years of experience in precast industry for B.E - Civil -Handled a team of min. 50 - 60 people including supervisors / section in charge. -Exposure to precast projects is must Skills Sets: -Leadership skills -Manpower management skills -Problem solving -Ability to handle multiple tasks -Computer proficiency -AutoCAD 2D/3D, Revit etc.

Principal AI Engineer Location: Chennai/ Kolkata Experance- 8yr -12 yr Job Summary: We are looking for a highly skilled Principal AI Engineer with deep expertise in Retrieval-Augmented Generation (RAG) and Agentic AI to lead our AI initiatives and drive innovation in FW and Data Center AI solutions. This role requires a strategic thinker who can design and deploy scalable AI architectures, integrate LLMs with retrieval-based techniques, and develop intelligent agentic systems that autonomously interact with data, APIs, and workflows. This role will lead the design and deployment of cutting-edge AI-driven solutions, focusing on LLMs for code synthesis, automated testing, and intelligent autonomous agents that enhance software development workflows with strong technical expertise, strategic vision, and leadership to build and deploy AI-driven products that align with business goals. Key Responsibilities: AI Strategy and Leadership: Define and execute AI strategies focused on RAG-based retrieval, code generation, and AI-assisted software engineering Work with stakeholders to align AI capabilities with business objectives and software development needs Research and integrate cutting-edge LLMs and autonomous AI agent architecture into development processes. RAG & Agentic AI Development: Develop RAG pipelines that enhance AI‘s ability to retrieve relevant knowledge and generate context-aware responses. Build and optimize agentic AI systems that can interact with APIs, databases, and development environments (such as LangChain, OpenAI APIs, etc.) Implement AI-powered search, chatbots, and decision-support tools for software engineers. Fine-tune LLMs (GPT, Llama, Mistral, Claude, Gemini etc.) for domain-specific applications. Optimize retrieval mechanisms to enhance response accuracy, grounding AI outputs in real-world data Code generation & Test case Automation: Leverage LLMs to generate high-quality, production-ready code Develop AI-driven test case generation tools that automatically create and validate unit tests, integration tests, and regression tests Integrate AI-driven code assistants and programming agents into IDE and CI/CD workflows Optimize prompt engineering and fine-tuning strategies for LLMs to improve code quality and efficiency MLOps & Scalable AI Systems: Architect and deploy scalable AI models and retrieval pipelines using cloud-based MLOps pipelines (AWS/GCP/Azure, Docker, Kubernetes) Optimize LLMs for real-time AI inferencing, ensuring low latency and high-performance AI solutions. Collaboration: Work cross-functionally with product teams, software engineers, and business stakeholders to integrate AI solutions into products. Mentorship: Guide and mentor a team of 3-5 AI engineers in LLM fine-tuning, retrieval augmentation, and autonomous AI agents. Establish best practices for AI-assisted software development, secure AI integration, and bias mitigation. Research & Innovation: Commitment to staying updated with the latest AI and machine learning research and advancements. Ability to think creatively and propose innovative solutions to complex problems. Model Development: Ability to design, train, and evaluate various AI models, including LLMs and standalone models—familiarity with model training tools and frameworks like Hugging Face Trainer, Fairseq, etc. Required Qualifications: Education: Computer Science, AI, Machine Learning, or a related field. Experience: 5+ years of experience in AI and machine learning, with at least 2 years of experience working on LLMs, code generation, RAG, or AI-powered automation. Technical skills: Proficiency in Python, Tensorflow, PyTorch, and LangChain Experience with LLM fine-tuning for code generation Strong expertise in vector databases (FAISS, Weaviate, Chroma, Pinecone, Milvus) and retrieval models Hands-on experience with AI-powered code assistants (Copilot, code Llama, Codex, GTP-4) Knowledge of automated software testing, AI-driven test case generation, AI-assisted debugging Experience with multi-agent AI systems (LangGraph, CrewAI, AutgoGen, OpenAI Assistants API) for autonomous coding tasks Knowledge of GoLang for building high-performance and scalable components and unit test case generation using CMocka is a plus. Hands-on model development, working with business stakeholders to define KPIs and develop and deliver multi-modal (Text and Images) and ensemble models. Develop novel approaches to solve firmware lifecycle management code generation and customer support issues. Implement advanced natural language processing and computer vision models to extract insights from diverse data sources, user-generated data, and images. Automate model lifecycle management. Stay updated with AI and machine learning technology advancements to drive Firmware Lifecycle Management. Analytical & Problem-Solving: Analytical Thinking: Strong analytical skills to interpret complex data and derive actionable insights. Problem-Solving: Ability to troubleshoot and resolve technical issues related to AI models and systems. Research & Innovation: Continuous Learning: Commitment to staying updated with the latest research and advancements in AI and machine learning. Innovation: Ability to think creatively and propose innovative solutions to complex problems. Soft Skills: Communication: Excellent verbal and written communication skills. Adaptability: Ability to adapt to changing technologies and project requirements. Team Player: Strong interpersonal skills and the ability to work well in a team environment. Preferred Qualifications: Experience with deploying and maintaining AI models in production environments. Familiarity with RAG-specific techniques like knowledge distillation or multi-hop retrieval. Understanding of reinforcement learning and active learning techniques for model improvement. Previous experience with large-scale NLP systems and AI-powered search engines. Contribution to AI research, patents, or open-source development tools.

STRUCTURAL REBAR ENGINEER Bachelor’s degree in civil engineering / diploma Minimum of 3-5 years of experience as a structural engineer expertized in drawing checking (rebar) Excellent communication in English and interpersonal skills. Possess a strong understanding of rebar detailing standards and procedures to meet the quality. Strong understanding of rebar detailing codes and standards. Proficiency in any rebar detailing software ( e.g., CADS RC, Rebar CAD, RGS, Rebar Plus etc). Salary : Between 25,000/- to 60,000/- Location : Trivandrum, Technopark, Kerala, India. Job Description : 1. Checking the Latest Drawing: Make sure that the detailing team is using the most recent version of the drawings. This drawing should have been thoroughly reviewed and approved for construction use. If any details are missing coordinate with client and raise Rfi's 2. Reinforcement Compliance: Confirm that the reinforcement size and placement being used, which matches the approved design drawings. 3. Drawing Alignment: Verify that the architectural and structural drawings are consistent and aligned with each other. This helps ensure that the shop drawings matches the intended structural design. 4. Approval of Bar Bending Schedule (BBS): Ensure that the Bar Bending Schedule, which details the shapes and lengths of reinforcement bars, matches the design / shop drawings. 5. Bar Lap Length and Location: Confirm that the overlap length of reinforcement bars (bar lap length) and their staggered positioning align with what is specified in the approved structural drawings. 6. Support and Spacing: Verify whether the reinforcement drawings are provided with well-supported rebar's including the use of spacers or chair supports. 7. Cover to Reinforcement: Examine the concrete cover on the top, bottom, and sides of the reinforcement is the correct thickness with reference with the design drawings. 8. CAD check: Make sure that the shop drawings is drafted in proper layer, text style, font type, dimension type etc. Company Description GRID Engineering Services, an ISO 9001:2015 certified consultancy, excels in Structural and Architectural Shop drawings, Scan to BIM, BIM Services, As-Built, and Add-in Development. With over two decades of expertise in global infrastructure projects, our portfolio includes metro systems, bridges, commercial buildings, and residential developments. Our diverse client base spans countries such as Singapore, Denmark, Sweden, UAE, Qatar, Latvia, France, and KSA. We offer both off-site and on-site resource outsourcing to meet diverse client needs, ensuring quick turnarounds and high client satisfaction. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹36,024.19 per month Schedule: Day shift Application Question(s): Do you know rebar detailing ? Work Location: In person

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 define the future of American Express. How will you make an impact in this role? Model Risk Management Group (MRMG) within Global Risk and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models. Purpose of the Role: The successful candidate will be responsible to manage and controls model risk, specifically associated to the next generation Artificial Intelligence or Machine Learning based models. This role will elevate model excellence, strengthen long term shareholder value, and adapt to the changing landscape of both model development innovation, external environment and heightened regulatory expectations. The specific responsibilities include: Conduct independent oversight of enterprise-wide models with a focus on Artificial Intelligence and Machine Learning based models for credit, fraud, or other business/ risk types. Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standards Conduct research to explore opportunities to elevate model excellence and drive business impact Seek and incorporate external perspective in day-to-day work and projects Communicating results to partners, senior leadership and various model committees Critical Factors to Success: 1. Business Outcomes : Effectively challenge the conceptual soundness, theory and approach, purpose/usages of predictive models Maximize business returns by institutionalizing efficient and accurate models. Innovate modeling techniques and variable creation Ensure modeling accuracy and enhance modeling efficiency in existing processes using Machine Learning 2. Leadership Outcomes : Put enterprise thinking first, connect the roles agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders. Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings Demonstrate learning agility, make decisions quickly and with the highest level of integrity Lead with a digital mindset and deliver the world’s best customer experiences every day Past Experience : 4-5 years’ experience in credit and fraud analytics, machine learning or both Academic Background : B.tech / B.Eng, MBA, Master’s Degree in Economics, Statistics or Related Fields From Top Tier Institute Functional Skills/Capabilities : Hands-on model development or validation experience. Strong Analytical and Relationship and project management skills for driving validation initiatives. Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred. Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment. Willingness to Collaborate with Cross-Functional teams to drive validation and Project Execution. Effectively communicating complex Analytical results to Business Partners and Senior Management. Flexibility and Adaptability to Work Within tight deadlines and changing priorities. Technical Skills/Capabilities : Experience with at-least one of the data manipulation tools such as Python, SQL and PySpark is a must have. Data Science/ Machine Learning/ Artificial Intelligence, Expertise in Coding, Supervised and Unsupervised Techniques active learning, transfer learning, neural models, decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, map reduce techniques, Random Forest, Gradient Boosting, Deep Learning, Text Mining, Algorithms. Behavioral Skills/Capabilities: Enterprise Leadership Behaviors : Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective Bring Others With You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential Do It The Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage: We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities 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 verification 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 either of Spanish/French/Italian/Portuguese, C1 level. 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

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 define the future of American Express. Functional Description : Model Risk Management Group (MRMG) within Global Risk and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models. Roles & Responsibilities : The successful candidate will be responsible to manage and controls model risk, specifically associated to the regulatory models like CCAR, CECL, IFRS9, Economic Capital and Membership Reward. This role will elevate model excellence, strengthen long term shareholder value, and adapt to the changing landscape of both model development innovation, external environment and heightened regulatory expectations. The specific responsibilities include: Conduct independent oversight of enterprise-wide models with a focus on a variety of statistical and mathematical models developed and used in Finance, Treasury and Risk - Economic Capital models, IFRS9, CECL, and CCAR Stress Test models, Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standards Conduct research to explore opportunities to elevate model excellence and drive business impact Communicating results to partners, senior leadership and various model committees Critical Factors to Success: 1.Business Outcomes: Effectively challenge the conceptual soundness, theory and approach, purpose/usages of predictive models Maximize business returns by institutionalizing efficient and accurate models. Innovate modeling techniques and variable creation Ensure modeling accuracy and enhance modeling efficiency in existing processes 2. Leadership Outcomes: Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders. Lead with an external perspective, challenge status quo and bring continuous innovation to the existing models Demonstrate learning agility, make decisions quickly and with the highest level of integrity Lead with a digital mindset and deliver the world’s best customer experiences every day Minimum Qualifications: 0-2 years' experience in analytics or big data workstreams Master’s degree in economics, Statistics or Related Fields from Top Tier Institute Functional Skills/Capabilities: Hands-on model development or validation experience. • Strong Analytical and Relationship and project management skills for driving validation initiatives. • Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred. • Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment. • Willingness to Collaborate with Cross-Functional teams to drive validation and Project Execution. • Effectively communicating complex Analytical results to Business Partners and Senior Management. • Flexibility and Adaptability to Work Within tight deadlines and changing priorities. Technical Skills/Capabilities: Experience with at least one of the data manipulation tools such as Python, Py Spark etc. is a must have. Data Science/Traditional Modeling, Machine Learning/ Artificial Intelligence, Expertise in Coding, Supervised and Unsupervised Techniques - active learning, transfer learning, neural models, decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, map reduce techniques, Random Forest, Gradient Boosting, Deep Learning, Text Mining Algorithms Behavioral Skills/Capabilities: Enterprise Leadership Behaviors Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective Bring Others with You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential Do It the Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities 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 verification check, subject to applicable laws and regulations.

Manage shuttering, formwork, concreting, reinforcement, brick work, bar bending schedules on site. Execute site plans with supervision from senior team members. IMMEDIATE JOINING PREFFERED Job Type: Full-time Pay: ₹22,000.00 - ₹30,000.00 per month Benefits: Commuter assistance Schedule: Day shift Work Location: In person