2052 Reinforcement Jobs - Page 12

About the Company: Conart Engineers is a four decades old, ISO 9001: 2015 BSE listed company, providing Industrial, Commercial and Infrastructure Construction, Engineering and Project Management services. Conart has successfully completed numerous construction projects and has full in-house machinery and equipment capabilities, with depth of 100+ qualified personnel. Our credentials can be found at - https://www.conartengineers.com/ Job Location: We have multiple industrial project in Karnataka. We need Construction Site Billing Engineers for projects value >₹10 Cr. Job Duties: Estimating the quantity of different works as per drawings. Checking the quantities claimed by the contractor. Preparing variation statement. Taking care of daily progress work & comparing the quantities planned to be executed. Correction & rectification of drawings & generate RFIs for the concerned consultants for the same. Verification of extra items, rate analysis. Checking of BBS and consistently carrying out reconciliation of reinforcement at site. Safety & Quality For certificate of bills get updates from Project Managers/ Quality Engineers for quality To measure (if required take inputs from concerned PM/APM/Engineer) and obtained quality records from the concerned staff for certifying contractor’s bills. To assist the PM and APM for the area of the site work allotted to him. On-going job being executed at site to be cross checked with drawings Job Type: Full-time Pay: ₹35,000.00 - ₹50,000.00 per month Education: Diploma (Required) Experience: Civil engineering: 6 years (Required) Work Location: In person Application Deadline: 13/09/2025 Expected Start Date: 01/10/2025

Key Responsibilities: Develop, fine-tune, and deploy LLM-based NLP models for tasks such as text classification, summarization, entity recognition, and question answering. Implement deep learning architectures using TensorFlow and/or PyTorch . Integrate OpenAI APIs and other foundation models into internal applications and tools. Design and build computer vision models for image detection, recognition, classification, and segmentation. Collaborate with cross-functional teams including product managers, data engineers, and UI/UX designers. Stay updated with the latest research trends in AI/ML and apply them to enhance system capabilities. Optimize model performance for scalability, accuracy, and speed. Build pipelines for data preprocessing, model training, validation, and deployment. Document models, experiments, and system behavior for team knowledge sharing. Key Skills & Qualifications: Bachelor's or Master’s degree in Computer Science , Artificial Intelligence , Data Science , or a related field. Strong hands-on experience with TensorFlow (or PyTorch). Deep understanding of NLP techniques , transformers , BERT , GPT , T5 , etc. Experience working with OpenAI , Hugging Face , or other LLM frameworks. Solid foundation in Computer Vision concepts and frameworks like OpenCV , YOLO , CNNs , Detectron , etc. Proficient in Python and relevant libraries (e.g., Numpy, Pandas, Scikit-learn). Experience with REST APIs, Flask/FastAPI for deploying ML models is a plus. Excellent problem-solving and analytical skills. Preferred: Prior experience in building AI-based SaaS products or intelligent automation solutions. Knowledge of MLOps , model versioning , and cloud platforms (AWS/GCP/Azure). Familiarity with Reinforcement Learning and Generative AI is a bonus. Job Type: Full-time Pay: Up to ₹50,000.00 per month Schedule: Morning shift Work Location: In person

: It has been more than 60 years since SYSTRA has garnered expertise that spans the entire spectrum of Mass Rapid Transit System. SYSTRA India’s valuable presence in India roots back to 1957, where SYSTRA worked on the electrification of Indian Railways. Our technical excellence, holistic approach and the tremendous talent provides a career that puts people who join us at the heart of improving transportation and urban infrastructure efficiency. Understand better who we are by visiting www.systra.in 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 Infrastructure for public and private organizations. CTR – Regional Technical Centre of Systra India takes care of the international production of major projects at Systra Group level. CTR team has expertise in design of High-Speed Rail, Metro, Conventional Rail, Bridges, Highways, Depots, Stations and Transport Planning. Starting from Feasibility/Concept stage to Detailed Design to IFC/Shop drawings, the disciplines involved have experience of designing in accordance with various international codes and delivered projects across the world. CTR team has successfully delivered some major projects in UK, UAE, Tanzania, KSA, Australia, Canada and Denmark. One of the major achievements of India CTR team has been the design of HS2 project in UK. We played an instrumental role in delivering 3 major Sublots on HS2 with our teams proactively engaging with Front Office in UK and delivering beyond client expectations. This resulted in India team receiving many accolades from the contractor BBV and client HS2. CTR team in India is proficient in working on multi-disciplinary projects integrating Design, BIM and Drawing production in a seamless workflow incorporating different software. The technical and management teams within CTR get an opportunity to work and interact with other CTR teams within Systra Group from Paris, Poland, Dubai, Philippines and Brazil. We are seeking application for the position of Structural Design Engineer for Building Structures. Missions/Main Duties: Develop and analyze structural designs for RC and steel structures, including Buildings (Industrial and Commercial), Foot overbridges (FOBs), UG Tanks etc. Perform detailed calculations for load distribution, stresses, and stability to ensure structural safety. Utilize advanced software tools (e.g. Midas, STAAD Pro, ETABS, AutoCAD) for structural modeling and analysis. Prepare structural drawings, reinforcement detailing, and design calculations, covering conceptual to detailed design phase, ensuring compliance with technical codes standards and specifications. Ensure designs adhere to Indian and international codes and standards. Assist in the preparation of BOQs and technical specifications for tendering. Oversee quality assurance for drawings, reports, and calculation deliverables, ensuring alignment with client requirements. Ensure adherence to design standards and timely delivery of high-quality output. Profile/Skills: Minimum 2–5 years experience in Structural Building Design with at least 1 year experience in International Projects. Bachelor’s/Master’s degree in Civil or Structural Engineering. Proficient in structural analysis software such as STAAD Pro, ETABS, Safe, Midas Civil, Midas Gen and AutoCAD. Experience with Building Information Modeling (BIM) tools like Revit. Good communication skills. Familiar with international project delivery and practices. : 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!

Company Description Masters India IT Solutions is a growing FinTech SaaS firm, serving over 700+ enterprises. Masters India is one of the biggest GST Suvidha Provider (GSP) appointed by Goods and Services Tax Network (GSTN) of Government of India since 2017. Our mission is to build intuitive software solutions for complex problems faced by businesses across the industries. We are fulfilling our mission by offering tax and financial automation products to enterprises. Masters India IT Solutions is a part of 44 year old Masters India group which is into Manufacturing, Healthcare, Hospitality and IT with an aggregate turnover of INR 1000+ Crores. Job Description Job Description We are looking for Machine Learning Engineers to build and implement Masters India’ platform based on the latest open source technologies. Job responsibilities will be cross-functional - ranging from "clean" coding to architectural changes to client interactions. Over a period of time you're expected to challenge the existing tech stack and add your baby components to it. A person should be a team player, should have an eye for detail and problem solving skills. Technical Skills: Python, Tensorflow, Pytorch, Model Training/Testing Experience - 1-3 Years Salary - 8-13 LPA NOTE- Immediate joiner will be preferred also Pls apply only for Noida Location Primary Responsibilities Working on the awesome AI product for document information extraction. Build the next-generation information extraction product powered by state-of-the-art AI and Deep Learning techniques. Work with an international top-notch engineering team with full commitment on Machine Learning development. Required Qualifications Passionate about search & AI technologies. Open to collaborating with colleagues & external contributors. Good understanding about the mainstream deep learning models from multiple domains: computer vision, NLP, reinforcement learning, model optimization etc. Hands-on experience on deep learning frameworks, e.g. Tensorflow, Pytorch, MXNet, BERT. Able to implement the latest DL model using existing API, open source libraries in a short time. Hands-on experience with the Cloud-Native techniques. Good understanding about web services and modern software technologies. Maintained/contributed machine learning projects, familiar with the agile software development process, CICD workflow, ticket management, code-review, version control etc. Skilled in the following programming languages: Python 3. Good English skills especially for writing and reading documentation Kindly mention your email ID while applying for the job to speed up the process. Additional Information What you get: A competitive package and a chance to participate in a life altering business plan that will fundamentally disrupt and change one of the largest industry segments in India and the world. Additional information WHY US ? You’ll be surrounded by passionate team members. Opportunity to experience startup culture. You’ll experience true collaboration. Your work has a visible impact. Opportunities for innovation. Location: Procapitus Business Park, Noida Sec - 63 Employment Type: Permanent onsite ( 5 days ) Industry: IT

Key Responsibilities Understand the scaffold system as per stability and support requirement of RCC structures as per drawing and site conditions. Study drawings and understand sequence of scaffold, shuttering and de-shuttering. Asses the quantity and sizes of scaffold material and shuttering material required. Supervise and guide Scaffolders and Carpenters to execute shuttering in line, level and desired workmanship. Coordinating with site engineer/ Sr Engineer for any clarification or guidance to ensure first time right work. Check the scaffold for stability during concreting, lateral stability for movement during concreting and safety of access provided for workforce, etc. Check the shuttering works for line, level and water tightness before giving clearance for reinforcement laying. Ensure sides are anchored properly for staying firm during concreting. Check verticality and placement of tie rods for columns and ensure lateral support to maintain alignment during concreting. Supervise scaffold and shuttering during concreting to observe and take corrective action for any sign of bulging or settlement. Ensure sequential dismantling and proper stacking of material during de-shuttering process. Keep a check on material availability at site and requisition well in time as per work requirement. Ensure targeted repetitions and optimum use of shuttering material. Minimize material wastage. Take care of regular Housekeeping. Contact Number Neetu Sharma hr.ho@rohanbuilders.com

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. Company - ADCI - Haryana - D50 Job ID: A3040238

Job Description: MLOps & AI Infrastructure Engineer Company: Credartha Location: Vapi, Gujarat Position Type: Full-Time About Calaxis by Credartha : The Future of AI is Built on Trust The $15 trillion promise of artificial intelligence is currently being held hostage by a single, pervasive bottleneck: the quality of domain-specific data. Today, building trustworthy, specialized AI is an artisanal, slow, and prohibitively expensive process reserved for tech giants with billion-dollar budgets. Calaxis is on a mission to change this. We are a deep-tech venture building a foundational platform to automate the end-to-end creation of flawless, high-quality datasets for any AI application. Our core innovation is a proprietary, self-improving system that uses a cascade of specialized AI models to systematically validate data for accuracy, compliance, and insight. By solving the data quality problem at its core, we are moving the AI industry from a capital-intensive to a method-intensive paradigm, democratizing the development of high-stakes AI for every vertical. What You Will Do: Architect the AI Flywheel: Design and build the end-to-end MLOps infrastructure for our entire platform. This includes creating automated pipelines for training, validation, deployment, and the crucial feedback loop that makes our system self-improving. Build a Multi-Tenant PaaS: Engineer a scalable, secure, and efficient multi-tenant architecture on AWS to support our customer-facing services. This includes managing on-demand compute for customer-driven fine-tuning (SFT & RL) and model deployment jobs. Automate Everything (CI/CD/CT): Implement and manage a sophisticated CI/CD/CT (Continuous Integration/Continuous Deployment/Continuous Training) system for our suite of AI models and backend services, ensuring rapid and reliable updates. Optimize LLM Serving: Deploy and manage high-throughput, low-latency model serving infrastructure for our internal AI validators and for customer-deployed models. Master GPU Resources: Develop and manage systems for efficient scheduling, allocation, and monitoring of GPU resources across multiple training and inference workloads. Ensure Production-Grade Reliability: Implement comprehensive monitoring, logging, and alerting for the entire platform using tools like AWS CloudWatch to ensure high availability and performance. Champion Infrastructure as Code (IaC): Use tools like Terraform or AWS CloudFormation to define and manage our infrastructure, ensuring it is version-controlled, repeatable, and scalable. Who You Are: The Expert We Need Required Qualifications: 5+ years of professional experience in a DevOps, SRE, or MLOps role, with a proven track record of building and managing production infrastructure for scalable applications. Deep expertise in cloud services, particularly AWS (e.g., EC2, S3, EKS/ECS, Lambda, RDS, API Gateway). Strong, hands-on experience with containerization (Docker) and container orchestration (Kubernetes). Proven experience designing and implementing CI/CD pipelines for complex applications (e.g., Jenkins, GitLab CI, AWS CodePipeline). Proficiency in scripting and automation, with strong skills in Python. A deep understanding of networking, security, and infrastructure best practices. Preferred Qualifications (Bonus Points): Direct experience building MLOps pipelines for training and deploying Large Language Models (LLMs). Familiarity with LLM-specific serving frameworks (e.g., vLLM, Text Generation Inference, Triton). Experience with ML platforms and tools like Kubeflow, MLflow, or Airflow. Experience building infrastructure for multi-tenant SaaS or PaaS products. Knowledge of advanced fine-tuning techniques like Reinforcement Learning from Human Feedback (RLHF) or Direct Preference Optimization (DPO) and their infrastructure requirements. AWS certifications (e.g., DevOps Engineer, Solutions Architect). Why Join Credartha? Build from the Ground Up: This is a rare greenfield opportunity to be the founding infrastructure architect for a deep-tech company. Your design choices will have a lasting impact on the entire platform. Solve Mission-Critical Challenges: You will be working on complex, interesting problems at the intersection of distributed systems, cloud infrastructure, and cutting-edge AI. Massive Impact and Ownership: You won't be maintaining legacy systems. You will have unparalleled ownership and the opportunity to build the operational foundation of a platform poised to disrupt a $15 trillion market. A Culture of Excellence: Join a passionate founding team that values technical rigor, innovation, and collaboration. Competitive Compensation: We offer a highly competitive salary, significant equity, and comprehensive benefits to ensure you are rewarded for your foundational contributions. If you are a world-class infrastructure engineer who is excited by the challenge of building the engine for the future of AI, we want to hear from you. How to Apply: Please submit your resume and a brief cover letter or message highlighting your experience building scalable, production-grade infrastructure and why you are excited about the mission at Calaxis.

Company Description Masters India IT Solutions is a growing FinTech SaaS firm, serving over 700+ enterprises. Masters India is one of the biggest GST Suvidha Provider (GSP) appointed by Goods and Services Tax Network (GSTN) of Government of India since 2017. Our mission is to build intuitive software solutions for complex problems faced by businesses across the industries. We are fulfilling our mission by offering tax and financial automation products to enterprises. Masters India IT Solutions is a part of 44 year old Masters India group which is into Manufacturing, Healthcare, Hospitality and IT with an aggregate turnover of INR 1000+ Crores. Job Description Job Description We are looking for Machine Learning Engineers to build and implement Masters India’ platform based on the latest open source technologies. Job responsibilities will be cross-functional - ranging from "clean" coding to architectural changes to client interactions. Over a period of time you're expected to challenge the existing tech stack and add your baby components to it. A person should be a team player, should have an eye for detail and problem solving skills. Technical Skills: Python, Tensorflow, Pytorch, Model Training/Testing Experience - 1-3 Years Salary - 8-13 LPA NOTE- Immediate joiner will be preferred also Pls apply only for Noida Location Primary Responsibilities Working on the awesome AI product for document information extraction. Build the next-generation information extraction product powered by state-of-the-art AI and Deep Learning techniques. Work with an international top-notch engineering team with full commitment on Machine Learning development. Required Qualifications Passionate about search & AI technologies. Open to collaborating with colleagues & external contributors. Good understanding about the mainstream deep learning models from multiple domains: computer vision, NLP, reinforcement learning, model optimization etc. Hands-on experience on deep learning frameworks, e.g. Tensorflow, Pytorch, MXNet, BERT. Able to implement the latest DL model using existing API, open source libraries in a short time. Hands-on experience with the Cloud-Native techniques. Good understanding about web services and modern software technologies. Maintained/contributed machine learning projects, familiar with the agile software development process, CICD workflow, ticket management, code-review, version control etc. Skilled in the following programming languages: Python 3. Good English skills especially for writing and reading documentation Kindly mention your email ID while applying for the job to speed up the process. Additional Information What you get: A competitive package and a chance to participate in a life altering business plan that will fundamentally disrupt and change one of the largest industry segments in India and the world. Additional information WHY US ? You’ll be surrounded by passionate team members. Opportunity to experience startup culture. You’ll experience true collaboration. Your work has a visible impact. Opportunities for innovation. Location: Procapitus Business Park, Noida Sec - 63 Employment Type: Permanent onsite ( 5 days ) Industry: IT

Job Summary The Quality Engineer – Civil is responsible for ensuring that construction activities adhere to quality standards and project specifications. The role involves conducting regular inspections, verifying construction materials, monitoring workmanship, and coordinating with contractors to rectify any quality issues. The aim is to ensure the timely delivery of projects with zero compromise on safety and quality. Key Responsibilities Implement and monitor Quality Assurance (QA) and Quality Control (QC) procedures at construction sites. Conduct regular site inspections to verify that the work is carried out in compliance with design, specifications, and quality standards. Check and approve materials, workmanship, and installation methods in line with project and industry standards. Ensure that Mivan shuttering, reinforcement, concrete, and finishing works (like tiles, waterproofing, painting, etc.) meet the quality standards. Prepare and maintain quality-related documents such as inspection reports, test reports, and checklists. Review and verify contractor’s work and material testing reports (cube test, slump test, steel test, etc.). Liaise with the Project Manager and site engineers to identify and resolve quality-related issues in a timely manner. Ensure non-conformance reports (NCRs) are raised and closed as per protocols. Conduct toolbox talks, site training, and awareness sessions on quality practices. Monitor subcontractors' compliance with quality standards. Coordinate with external vendors/labs for third-party testing when required. Skills: material testing,project coordination,quality assurance,construction inspections,construction,documentation,site supervision,quality control,testing,checklists

This role is for one of our clients Industry: Technology, Information and Media Seniority level: Mid-Senior level Min Experience: 4 years Location: Bengaluru JobType: full-time About the Role: We are looking for a bold, inventive, and deeply technical Applied AI Engineer to join our next-generation AI innovation team. You will help architect intelligent, adaptive systems that combine reasoning, autonomy, and generative capabilities—building the next wave of AI-native applications. This is a unique opportunity to work across disciplines like cognitive computing, generative modeling, and agent orchestration to deliver real-world impact. What You’ll Be Doing 🧠 Intelligent System Design Develop autonomous, goal-driven agents that reason, plan, and execute multi-step tasks using tools, APIs, or memory systems. Architect modular frameworks for agent orchestration , prompt chaining, and task decomposition in complex environments. Implement AI workflows that emulate human-like decision-making and task execution. 🧬 Generative AI & Model Engineering Build and deploy Generative AI models for creative and business use cases including text generation, summarization, personalization, and automation. Fine-tune and align large language models (LLMs) and diffusion models for downstream applications. Design structured experimentation pipelines to evaluate generative model quality, coherence, and relevance. 📦 Full-Stack ML Productization Own the full ML pipeline: from dataset construction, feature transformation, and model training to deployment, monitoring, and real-time inference. Optimize inference efficiency and model serving at scale using vector databases, caching layers, and cloud-native infrastructure. Collaborate with backend, product, and design teams to embed AI seamlessly into user-facing applications. 🔍 Research & Innovation Track breakthroughs in AI agents, open-source orchestration frameworks (e.g., LangGraph, CrewAI), and multi-agent communication protocols. Apply emerging paradigms such as Retrieval-Augmented Generation (RAG) , toolformer-style models, and multi-modal intelligence. Contribute to internal knowledge bases and mentor team members on novel techniques. Who You Are ✅ Must-Have Skills 4–10 years of experience in machine learning, applied AI, or intelligent systems engineering. Strong programming ability in Python , and deep familiarity with ML libraries like PyTorch , scikit-learn , or TensorFlow . Proven track record of building, training, and deploying LLMs , generative models, or agentic systems in production. Experience with orchestration tools and frameworks like LangChain , Auto-GPT , CrewAI , or custom agent stacks. Deep understanding of prompt engineering, fine-tuning, vector search, and RAG pipelines. Solid grounding in software engineering principles—Git, containerization (Docker), CI/CD, and cloud platforms (AWS/GCP/Azure). ⭐ Bonus Skills Experience integrating vector databases like Pinecone , Weaviate , or FAISS for semantic search or contextual memory. Exposure to knowledge graphs , planning algorithms, or reinforcement learning agents. Experience with multi-modal models or cross-domain embeddings (e.g., vision-language or speech-text models). Contributions to open-source AI/ML projects or academic publications in ML conferences.

Job Description Join our dynamic Workforce Planning (WFP) team within Consumer and Community (CCB) Operations division. Be part of a forward-thinking organization that leverages data science to optimize workforce efficiency. Contribute to innovative projects that drive impactful solutions for Chase's operations. As an Operations Research Analyst within the WFP Data Science team, you will tackle complex and high-impact projects. You will assess unstructured problems, develop practical strategies, and propose solutions to enhance decision-making processes. Collaborate with management to prioritize, time, and deliver next-gen operations research solutions. Job Responsibilities Design and development of optimization models and simulation models. Support OR projects individually or part of a project team. Collaborate with stakeholders to understand the business requirements and clearly define the objectives of any solution. Identify and select the correct method to solve the problem while staying up to data on the latest OR methodologies. Ensure the robustness of any mathematical solution. Develop and communicate recommendations and OR solutions in easy-to-understand-way leveraging data to tell a story. Lead and persuade others while positively influencing the outcome of team efforts and help frame a business problem into a technical problem resulting in a feasible solution. Required Qualifications, Capabilities And Skills Master’s Degree with 4+ years or Doctorate (PhD) with 2+ years of experience in Operations Research, Industrial Engineering, Systems Engineering, Financial Engineering, Management Science, and related disciplines operating as an operations research professional. Experience supporting OR projects with multiple team members. Hands-on experience developing simulation models, optimization models and/or heuristics. Deep understanding of math and theory behind Operations Research techniques Proficient in Open Source Software(OSS) programming languages like Python, R or Scala. Experience with commercial solvers like GUROBI, CPLEX, XPRESS, or MOSEK & familiarity with basic data table operations (SQL, Hive, etc.). Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence. Preferred Qualifications, Capabilities And Skills Advanced expertise with Operations Research techniques. Prior experience building Reinforcement Learning Models. Extensive knowledge of Stochastic Modelling. Previous experience leading highly complex cross-functional technical projects with multiple stakeholders. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

🚨 We’re Hiring: Design Engineer (Structural – Post Tensioning) 📍 Location: Vadodara | 💼 Experience: 0–3 Years If AutoCAD feels like your second language and you dream in lineweights and section cuts — we’re talking to YOU! 🎯 We’re on the lookout for sharp minds and steady hands to join our Design Engineering team. Whether you're a fresh graduate eager to learn, or have up to 3 years of experience under your belt, we’ve got space for both Trainees and Junior Design Engineers . What you’ll be doing: 📝 Drafting detailed structural drawings – think forming plans, reinforcement layouts, PT cable placements & more. 🧮 Quantity estimation for tendons, ducts, steel, and concrete. 🧠 Learning and supporting post-tension design through software like AutoCAD & ADAPT. 🧩 Communicating with our site and marketing teams to bridge drawings and reality. What we expect: ✅ Passion for structural design (bonus points for AutoCAD + PT knowledge) ✅ A can-do attitude with a question-asking mindset ✅ Willingness to relocate (if needed) & learn from the ground up This is not just a job; it’s a launchpad to become a full-stack design expert. 🔗 Drop us a message or email your CV to hr@unifiedpts.com Let’s build something brilliant— from concept to concrete 💪🏼✨ #Hiring #DesignEngineer #StructuralEngineering #PostTensioning #CivilEngineeringJobs #VadodaraJobs #TraineeEngineer #AutoCAD #AdaptPT #Careers #EngineeringExcellence

Require Min. 3-5yrs of experience in QUALITY dept. in REAL ESTATE only. REAL ESTATE candidates in QUALITY should only apply. Location- Tathawade, Pune. Job Summary: The Quality Engineer – Civil is responsible for ensuring that construction activities adhere to quality standards and project specifications. The role involves conducting regular inspections, verifying construction materials, monitoring workmanship, and coordinating with contractors to rectify any quality issues. The aim is to ensure the timely delivery of projects with zero compromise on safety and quality. Key Responsibilities: Implement and monitor Quality Assurance (QA) and Quality Control (QC) procedures at construction sites. Conduct regular site inspections to verify that the work is carried out in compliance with design, specifications, and quality standards. Check and approve materials, workmanship, and installation methods in line with project and industry standards. Ensure that Mivan shuttering , reinforcement, concrete, and finishing works (like tiles, waterproofing, painting, etc.) meet the quality standards. Prepare and maintain quality-related documents such as inspection reports , test reports , and checklists . Review and verify contractor’s work and material testing reports (cube test, slump test, steel test, etc.). Liaise with the Project Manager and site engineers to identify and resolve quality-related issues in a timely manner. Ensure non-conformance reports (NCRs) are raised and closed as per protocols. Conduct toolbox talks , site training, and awareness sessions on quality practices. Monitor subcontractors' compliance with quality standards. Coordinate with external vendors/labs for third-party testing when required. Job Type: Full-time Pay: ₹30,000.00 - ₹50,000.00 per month Benefits: Health insurance Ability to commute/relocate: Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Experience: total work: 3 years (Preferred)

Key Responsibilities Hands-on Development: Develop and implement machine learning models and algorithms, including supervised, unsupervised, deep learning, and reinforcement learning techniques. Implement Generative AI solutions using technologies like RAG (Retrieval-Augmented Generation), Vector DBs, and frameworks such as LangChain and Hugging Face, Agentic Ai. Utilize popular AI/ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn. Design and deploy NLP models and techniques, including text classification, RNNs, CNNs, and Transformer-based models like BERT. Ensure robust end-to-end AI/ML solutions, from data preprocessing and feature engineering to model deployment and monitoring. Technical Proficiency: Demonstrate strong programming skills in languages commonly used for data science and ML, particularly Python. Leverage cloud platforms and services for AI/ML, especially AWS, with knowledge of AWS Sagemaker, Lambda, DynamoDB, S3, and other AWS resources. Mentorship: Mentor and coach a team of data scientists and machine learning engineers, fostering skill development and professional growth. Provide technical guidance and support, helping team members overcome challenges and achieve project goals. Set technical direction and strategy for AI/ML projects, ensuring alignment with business goals and objectives. Facilitate knowledge sharing and collaboration within the team, promoting best practices and continuous learning. Strategic Advisory: Collaborate with cross-functional teams to integrate AI/ML solutions into business processes and products. Provide strategic insights and recommendations to support decision-making processes. Communicate effectively with stakeholders at various levels, including technical and non-technical audiences. Qualifications Bachelor’s degree in a relevant field (e.g., Computer Science) or equivalent combination of education and experience. Typically, 8-10 years of relevant work experience in AI/ML/GenAI 15+ years of overall work experience. With proven ability to manage projects and activities. Extensive experience with generative AI technologies, including RAG, Vector DBs, and frameworks such as LangChain and Hugging Face, Agentic AI Proficiency in machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning. Extensive experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn. Strong knowledge of natural language processing (NLP) techniques and models, including Transformer-based models like BERT. Proficient programming skills in Python and experience with cloud platforms like AWS. Experience with AWS Cloud Resources, including AWS Sagemaker, Lambda, DynamoDB, S3, etc., is a plus. Proven experience leading a team of data scientists or machine learning engineers on complex projects. Strong project management skills, with the ability to prioritize tasks, allocate resources, and meet deadlines. Excellent communication skills and the ability to convey complex technical concepts to diverse audiences. Preferred Qualifications Experience in setting technical direction and strategy for AI/ML projects. Experience in the Insurance domain Ability to mentor and coach junior team members, fostering growth and development. Proven track record of successfully managing AI/ML projects from conception to deployment.

Position: Civil Engineer Experience Required: 4–5 years Job Description: We are seeking a dedicated Civil Engineer with 4–5 years of site experience to oversee and coordinate various aspects of construction projects. The ideal candidate should be well-versed in site supervision, quality assurance, and contractor coordination to ensure timely and high-quality project execution. Strong attention to detail and problem-solving skills are essential to handle on-site challenges effectively. Roles and Responsibilities: Supervise daily site activities to ensure smooth and uninterrupted construction operations. Inspect construction processes including formwork, steel reinforcement, and concreting as per approved drawings and specifications. Coordinate with contractors, vendors, and suppliers to streamline material supply and on-site work. Ensure adherence to established quality standards and enforce safety measures across the site. Monitor project timelines and take corrective actions to mitigate delays or disruptions. Maintain accurate records and prepare daily progress reports for senior engineers and project managers. Key Skills: Site Supervision, Construction Quality Control, Vendor Coordination, Project Monitoring, Daily Reporting, Safety Compliance, Time Management, Problem-Solving.

About RISA Labs Cancer patients face not just a disease, but a broken system where delays in treatment are common due to outdated, error-prone workflows. RISA Labs is changing that with our Business Operating System as a Service (BOSS) - a powerful platform built for the vertical complexity of healthcare, that transforms healthcare operations. Unlike simple automation tools, BOSS breaks down complex workflows into small tasks, managed by smart AI agents like LLMs, digital twins, and reinforcement learners. This creates a digital workforce that doubles the efficiency of healthcare teams, letting a 1,000-person institution operate like it has 2,000 staff overnight. Founders RISA was founded by Kshitij Jaggi and Kumar Shivang, IIT Kanpur alumni with a proven track record from their previous healthcare startup, Urban Health. Their vision is to streamline oncology care through cutting-edge technology. Funding RISA Labs is backed by $3.5 million in seed funding, led by Flipkart co-founder Binny Bansal, with support from Oncology Ventures, General Catalyst, z21 Ventures, Odd Bird VC, and angel investor Ashish Gupta. Role Overview As a Compliance Manager, you will oversee and manage the implementation, maintenance, and monitoring of RISA Labs’ compliance frameworks — including HIPAA , SOC 2 , ISO 27701 , and HiTrust . You’ll collaborate across engineering, legal, operations, and security to ensure our platform and internal practices meet industry, regulatory, and partner standards. This is a critical, cross-functional role for someone who thrives at the intersection of regulation, systems thinking, and fast-moving tech environments. Responsibilities Compliance Program Management: Own the strategy, execution, and tracking of compliance across frameworks like HIPAA, SOC 2, ISO 27701, and HiTrust Audit & Certification Readiness: Lead internal readiness efforts for audits and certifications, partnering with third-party assessors and internal stakeholders Policy Development: Draft, maintain, and implement policies, procedures, and controls aligned with regulatory and industry standards Risk Management: Conduct risk assessments, control gap analyses, and incident investigations to identify compliance weaknesses and mitigate risk Cross-Functional Collaboration: Work closely with engineering, product, security, and legal to ensure new features and systems are compliant by design Security & Privacy Oversight: Support the security team in managing vendor reviews, access controls, data handling policies, and encryption practices Employee Training & Awareness: Develop and lead internal compliance education programs, including onboarding, role-based training, and refreshers Regulatory Monitoring: Stay up to date with changes in relevant laws and standards and proactively adjust company practices to stay in alignment Reporting: Prepare reports for leadership and external stakeholders demonstrating compliance posture, audit findings, and remediation efforts Qualifications 5+ years of experience in compliance, privacy, or security-related roles, ideally within tech, SaaS, or healthcare organizations Deep understanding of HIPAA, SOC 2, ISO 27701, and HiTrust frameworks and certification processes Strong knowledge of data privacy laws (e.g., GDPR, CCPA) and IT security principles Experience working cross-functionally with product, security, legal, and engineering teams Excellent writing, policy drafting, and documentation skills High integrity and attention to detail, able to manage sensitive information and operate with discretion Bonus: Certifications such as CIPP, CISA, CISSP, or HiTrust CCSFP Bachelor’s degree in a related field (Information Security, Law, Business, or equivalent experience)

Position : AI Architect -PERMANENT Only Experience : 9+ years (Relevant 8 years is a must) Budget : Up to ₹40–45 LPA Notice Period : Immediate to 45 days Key Skills : Python, Data Science (AI/ML), SQL Location - TVM/Kochi/remote Job Purpose Responsible for consulting for the client to understand their AI/ML, analytics needs & delivering AI/ML applications to the client. Job Description / Duties & Responsibilities ▪ Work closely with internal BU’s and business partners (clients) to understand their business problems and translate them into data science problems ▪ Design intelligent data science solutions that delivers incremental value the end stakeholders ▪ Work closely with data engineering team in identifying relevant data and pre-processing the data to suitable models ▪ Develop the designed solutions into statistical machine learning models, AI models using suitable tools and frameworks ▪ Work closely with the business intelligence team to build BI system and visualizations that delivers the insights of the underlying data science model in most intuitive ways possible. ▪ Work closely with application team to deliver AI/ML solutions as microservices Job Specification / Skills and Competencies ▪ Masters/Bachelor’s in Computer Science or Statistics or Economics ▪ At least 6 years of experience working in Data Science field and is passionate about numbers, quantitative problems ▪ Deep understanding of Machine Learning models and algorithms ▪ Experience in analysing complex business problems, translating it into data science problems and modelling data science solutions for the same ▪ Understanding of and experience in one or more of the following Machine Learning algorithms:-Regression , Time Series ▪ Logistic Regression, Naive Bayes, kNN, SVM, Decision Trees, Random Forest, k-Means Clustering etc. ▪ NLP, Text Mining, LLM (GPTs) ▪ Deep Learning, Reinforcement learning algorithm ▪ Understanding of and experience in one or more of the machine learning frameworks -TensorFlow, Caffe, Torch etc. ▪ Understanding of and experience of building machine learning models using various packages in one or more of the programming languages– Python / R ▪ Knowledge & Experience on SQL, Relational Databases, No SQL Databases and Datawarehouse concepts ▪ Understanding of AWS/Azure Cloud architecture ▪ Understanding on the deployment architectures of AI/ML models (Flask, Azure function, AWS lambda) ▪ Knowledge on any BI and visualization tools is add-on (Tableau/PowerBI/Qlik/Plotly etc). ▪To adhere to the Information Security Management policies and procedures. Soft Skills Required ▪ Must be a good team player with good communication skills ▪ Must have good presentation skills ▪ Must be a pro-active problem solver and a leader by self ▪ Manage & nurture a team of data scientists ▪ Desire for numbers and patterns

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

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

Sr. Sales Excellence Gurgaon, Haryana, India Date posted Jul 23, 2025 Job number 1850209 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Sales Enablement Discipline Sales Excellence Employment type Full-Time Overview Drives sales growth through mid- to long-term account or business planning. Guides segment leads or partners, or collaborates with peers to develop segment strategy for segmentation, territory planning, and quota setting. As primary orchestrator of the Account/Portfolio Partner Business Plan, activates sponsorship within segment leaders. Defines and drives a predictable rhythm of the connection (ROC) in collaboration with peers and/or leadership. Guides sales teams/leadership on sales motions/strategies for opportunity management as a subject matter expert. Coaches and builds relationships with sales leaders on executing key priorities. Drives awareness and clarity of Corporate or TimeZone programs. Leads optimization and improvement in sales team processes and capabilities across the organization. Identifies trends on sales challenges or blockers. Leads innovations in analytics on key revenue drivers. Drives sales process discipline, adherence to standards and excellence in execution, or pipeline health in collaboration with sales leaders. Integrates the feedback to guide engineer/partner teams on improving tools. Supports segment leader capacity as a senior leader. Qualifications Required Qualifications : 8+ years’ experience in sales, sales operations/management, account management, program management, business development, marketing, consulting, or a related field OR equivalent experience. 5+ years of experience using data to drive business outcomes or inform business decisions. 5+ years of experience managing relationships with stakeholders, clients, and/or partners/customers. 5+ years managing projects, including planning, managing timelines, and tracking progress, and/or change management experience. Preferred Experience Demonstrated ability to lead cross-functional projects and collaborate across Sales, Finance, and Operations teams. Experience supporting field sales or managing investment/resource planning in a global or regional organization. Familiarity with deal structuring, forecasting, or incentive-based programs that support customer success or cloud adoption. Proven ability to design and scale operational processes, tools, and best practices to drive efficiency and enablement. Experience preparing executive-level presentations, performance reviews, and storytelling through data. Understanding of financial governance, compliance protocols, and working closely with finance and legal teams. Responsibilities Business Partnership and Support As primary orchestrator of the Account/Portfolio Partner Business Plan, activates sponsorship within segment leaders. Coaches managers and sellers on account/portfolio/partner business planning fundamentals, habits, and plan quality. Drives reinforcement and review of quality plans across region(s). Guides sales teams/leadership on sales motions/strategies for opportunity management (e.g., up-sell, cross-sell, renewal, recapture) as a subject matter expert. Clarifies accountabilities and operationalizes the prioritized sales plays and industry solutions. Guides sales teams/leadership to generate new business and accelerates the closing of existing opportunities. Drives sales growth, in our Consumption business, through mid to long term account or business planning. Analyzes the outlook and generates business insights to benchmark performance and/or define sales/ organizational/partner strategies. Contributes to integrating strategy components (e.g., programs, blueprints), cascading, aligning, and executing the defined strategy across region(s). Defines and drives a predictable rhythm of the connection (RoC) in collaboration with peers and/or leadership. Leads end-to-end RoC activities to enforce great discipline and ensure quality outcome delivery. Provides in-depth business insights and recommendations to effect positive changes. Leads efforts and coaches less experienced team members to streamline and improve the RoC cadence across region(s). Driving Sales Process Discipline Drives sales process discipline, adherence to standards and excellence in execution, or pipeline health in collaboration with sales managers. Holds sales managers accountable for account plan quality and completeness. Helps ensure consistency and excellence in the sales process across the segment(s)/region(s). Shares best practices and provides thought leadership across teams. Leads analytics on key revenue drivers (e.g. by channel, by product, by geo) and generates data-based insights to drive Net New Revenue. Leverages and develops reporting and analytical capabilities to generate data-based insights and enable visibility into revenue and forecast for sellers, sales managers and leaders, or partners. Acts as a subject matter expert to convey the value of tools and drive the effective and rigorous usage of common and/or new processes and tools developed for the wider business to improve internal and external communications and engagements. Owns consolidated input from the supported area into the feedback loop. Leverages the feedback to influence engineer/partner teams on improving tools. Sales Coaching for Growth and Transformation Drives optimization and improvement in sales team processes and capabilities across the region(s). Assesses and anticipates customer/partner needs and applies or develops methodologies and resources to transform seller capabilities, sales processes, and/or partner engagement processes. Models transformation to a coaching culture. Coaches and builds relationships with sales managers on executing key priorities. Identifies where coaching may be needed based on data-driven insights. Influences sales managers to become more effective coaches to their teams. Guides sales managers to achieve increased individual and team capability, employee satisfaction, and collaborative selling efforts. May coach and guide large deal pursuit. Partners with Area Transformation Leads, Area Capability Leads, and Business and Sales Operations (BSO) to remove sales roadblocks, drive utilizations of investment, increase customer/partner-facing time, and enhance seller/partner capability and effectiveness. Shares insights and influences sales managers' strategies to anticipate and mitigate risks. Integrates feedback on sales challenges or blockers. Guides relevant teams to develop actions based on the feedback. Drives awareness and clarity of Corporate or TimeZone programs. Intakes and drives the adoption of plans to create new habits among sales teams or partners. Supporting Executive Capacity Supports segment leader capacity as a senior leader. Advises on and contributes to various aspects of business management (e.g., employee engagement, resource allocation, change management, building high-performing teams) in collaboration with leadership and cross-functional teams. Represents the segment as an internal advocate and an extension of the segment leadership. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Job Description Responsibilities : Identify relevant data sources - a combination of data sources to make it useful. Build the automation of the collection processes. Pre-processing of structured and unstructured data, leveraging NLP techniques for text data. Handle large amounts of information to create the input for analytical models, incorporating Gen AI for advanced data processing and generation. Build predictive models, machine learning, and deep learning algorithms; innovate with Gen AI applications in model development. Build network graphs, apply NLP techniques for text analysis, and design forecasting models while building data pipelines for end-to-end solutions. Propose solutions and strategies to address business challenges, integrating Gen AI and NLP in practical applications. Collaborate with product development teams and communicate with Senior Leadership teams. Participate in problem-solving sessions, leveraging NLP and Gen AI for innovative solutions. Requirements Bachelor's degree in a highly quantitative field (e., Computer Science, Engineering, Physics,Math, Operations Research, etc.) or equivalent experience. Extensive machine learning and algorithmic background with deep expertise in Gen AI andNatural Language Processing (NLP) techniques, along with a strong understanding of supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, and network graph analysis. Advanced knowledge of NLP methods, including text generation, sentiment analysis, namedentity recognition, and language modelling. Strong math skills, including proficiency in statistics, linear algebra, and probability, with the ability to apply these concepts in Gen AI and NLP solutions. Proven problem-solving aptitude with the ability to apply NLP and Gen AI tools to real-world business challenges. Excellent communication skills with the ability to translate complex technical information, especially related to Gen AI and NLP, into clear insights for non-technical stakeholders. Fluency in at least one data science/analytics programming language (e., Python, R, Julia), with expertise in NLP and Gen AI libraries like TensorFlow, PyTorch, Hugging Face, or OpenAI tools. Start-up experience is a plus, with ideally 5-8 years of advanced analytics experience in startups or marquee companies, particularly in roles leveraging Gen AI and NLP for product or business innovations. (ref:hirist.tech)

It has been more than 60 years since SYSTRA has garnered expertise that spans the entire spectrum of Mass Rapid Transit System. SYSTRA India’s valuable presence in India roots back to 1957, where SYSTRA worked on the electrification of Indian Railways. Our technical excellence, holistic approach and the tremendous talent provides a career that puts people who join us at the heart of improving transportation and urban infrastructure efficiency. Understand better who we are by visiting www.systra.in 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 Infrastructure for public and private organizations. CTR – Regional Technical Centre of Systra India takes care of the international production of major projects at Systra Group level. CTR team has expertise in design of High-Speed Rail, Metro, Conventional Rail, Bridges, Highways, Depots, Stations and Transport Planning. Starting from Feasibility/Concept stage to Detailed Design to IFC/Shop drawings, the disciplines involved have experience of designing in accordance with various international codes and delivered projects across the world. CTR team has successfully delivered some major projects in UK, UAE, Tanzania, KSA, Australia, Canada and Denmark. One of the major achievements of India CTR team has been the design of HS2 project in UK. We played an instrumental role in delivering 3 major Sublots on HS2 with our teams proactively engaging with Front Office in UK and delivering beyond client expectations. This resulted in India team receiving many accolades from the contractor BBV and client HS2. CTR team in India is proficient in working on multi-disciplinary projects integrating Design, BIM and Drawing production in a seamless workflow incorporating different software. The technical and management teams within CTR get an opportunity to work and interact with other CTR teams within Systra Group from Paris, Poland, Dubai, Philippines and Brazil. We are seeking application for the position of Structural Design Engineer for Building Structures. Missions/Main Duties Develop and analyze structural designs for RC and steel structures, including Buildings (Industrial and Commercial), Foot overbridges (FOBs), UG Tanks etc. Perform detailed calculations for load distribution, stresses, and stability to ensure structural safety. Utilize advanced software tools (e.g. Midas, STAAD Pro, ETABS, AutoCAD) for structural modeling and analysis. Prepare structural drawings, reinforcement detailing, and design calculations, covering conceptual to detailed design phase, ensuring compliance with technical codes standards and specifications. Ensure designs adhere to Indian and international codes and standards. Assist in the preparation of BOQs and technical specifications for tendering. Oversee quality assurance for drawings, reports, and calculation deliverables, ensuring alignment with client requirements. Ensure adherence to design standards and timely delivery of high-quality output. Profile/Skills Minimum 2–5 years experience in Structural Building Design with at least 1 year experience in International Projects. Bachelor’s/Master’s degree in Civil or Structural Engineering. Proficient in structural analysis software such as STAAD Pro, ETABS, Safe, Midas Civil, Midas Gen and AutoCAD. Experience with Building Information Modeling (BIM) tools like Revit. Good communication skills. Familiar with international project delivery and practices. 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!

About Us At Artisan, we're creating AI Employees, called Artisans, and software which is sleek, easy to use, and replaces the endless stack of point solutions. We're starting with outbound sales and our AI BDR, Ava. Our platform contains every tool needed for outbound sales - B2B data, AI email sequences, deliverability optimization tools and so much more. We're growing very rapidly and recently raised a $25M Series A round from top investors. We are looking for superstars to join us on our rocketship growth as we relentlessly work towards building a multi-billion dollar company. About The Role Ava is our flagship AI employee—an outbound sales BDR that performs real work, with real results. We’re looking for a deeply technical and product-minded Applied AI Engineer to help build the core intelligence behind Ava: reasoning loops, action planning, tool use, memory, and end-to-end autonomy. You’ll be at the heart of building human-grade autonomous software agents. This is a hands-on, experimental, highly collaborative role where shipping matters. You’ll be building not just tools, but behaviors—real agents that replace full-time employees. You’ll help create not just features, but emergent intelligence. Ava is already changing how companies sell. You’ll define how far we can push her next. What You'll Do Build and maintain agentic infrastructure: memory systems, planning modules, tool usage, and task decomposition logic. Develop robust integrations with third-party systems that Ava can reason about and act on (CRMs, email platforms, databases, etc). Design reinforcement loops, hallucination detection, and behavior tuning systems for long-term reliability. Work closely with product and design teams to prototype and productionize intelligent behaviors that feel seamless to users. Own model evaluation pipelines and instrumentation for user feedback and continuous improvement. Implement smart fallback systems to gracefully handle agent uncertainty or failure. What You Bring 3–5+ years of experience in ML/AI engineering, ideally in applied LLM or agentic system contexts. Experience building end-to-end applications using modern LLM tooling (LangChain, LangGraph, or custom frameworks). Deep understanding of reasoning, prompt orchestration, and memory mechanisms. Strong software engineering skills—able to write clean, maintainable Python and backend code. Experience integrating AI models into production environments with real users. Why Join Us Build the future of work by pioneering a new AI-native product category. Collaborate with a mission-driven, ambitious, and high-caliber team. Competitive salary, generous equity, and full benefits. Regular company off-sites and team events. Fast-moving culture where you'll ship meaningful work every week.

About Us At Artisan, we're creating AI Employees, called Artisans, and software which is sleek, easy to use, and replaces the endless stack of point solutions. We're starting with outbound sales and our AI BDR, Ava. Our platform contains every tool needed for outbound sales - B2B data, AI email sequences, deliverability optimization tools and so much more. We're growing very rapidly and recently raised a $25M Series A round from top investors. We are looking for superstars to join us on our rocketship growth as we relentlessly work towards building a multi-billion dollar company. About The Role We're not just shipping AI products—we're building ones that learn and improve autonomously . We’re looking for a Growth ML & Experimentation Engineer to build Ava’s adaptive growth brain: systems that run millions of microtests and optimize outbound performance across companies, personas, and industries. Think of this role as creating the “growth hacker” mind inside our AI BDR—combining A/B testing, reinforcement learning, and control systems at scale. You’ll be building an AI that adapts itself to every persona, every market, and every trend—without needing to be told. This isn’t growth hacking for a website. It’s evolution for an AI employee. What You'll Do Design and implement automated experimentation systems (A/Z testing, multivariate optimization, Bayesian exploration, etc). Build dynamic systems that continuously learn from open/response rates, meetings booked, and downstream metrics. Create reinforcement loops and scoring models to help Ava adjust tone, targeting, and strategies in real-time. Work closely with product to embed experimentation directly into the AI-user experience. Develop tools to visualize and interpret campaign intelligence for internal teams and end users. What You Bring 3–6+ years of experience in applied ML, ideally focused on growth, optimization, or adaptive systems. Experience with online experimentation frameworks (A/B testing infra, bandits, causal inference, etc). Strong Python and data engineering skills; comfortable working across pipelines, APIs, and backend systems. Experience working with outbound or marketing funnel data is a major plus. Passion for building intelligent systems that get better every day, without human micromanagement. Why Join Us Build the future of work by pioneering a new AI-native product category. Collaborate with a mission-driven, ambitious, and high-caliber team. Competitive salary, generous equity, and full benefits. Regular company off-sites and team events. Fast-moving culture where you'll ship meaningful work every week.

Job Title: Quant Developer / Algorithmic Developer – Crypto Trading Location: Remote / Hybrid Type: Full-time Experience: 3 to 7 Years Compensation: USDT Only About the Role We are looking for a highly skilled Quantitative Developer / Algorithmic Developer to join our team in building advanced, production-grade crypto trading systems. This role is ideal for someone who excels at the intersection of strategy development, high-performance Python programming, and system design — with a deep interest in cryptocurrency markets. You will be responsible for developing and optimizing algorithmic trading strategies, designing robust infrastructure, integrating with exchanges, and playing a critical role in converting research ideas into actionable and scalable trading logic. If you’re passionate about crypto markets and want to shape the next generation of intelligent trading systems, we’d love to connect. Key Responsibilities Design, build, and deploy crypto trading strategies across spot, futures, and derivatives. Translate strategy logic into efficient, high-quality Python code, with well-structured modules and reusable components. Work on data ingestion, labeling, and pattern recognition logic using real-time and historical market data. Integrate and customize machine learning/statistical models for signal generation, filtering, and risk control. Interface with exchange APIs (REST/WebSocket) for order placement, live market data, and account management. Manage data storage and retrieval using PostgreSQL, Redis, and other relevant tools. Optimize for latency, slippage, execution cost, and strategy robustness under varying market conditions. Develop and maintain FastAPI-based internal tools for monitoring, research, and strategy deployment. Collaborate closely with quant researchers, infra engineers, and traders to iterate on model improvements. Conduct post-trade analysis and continuous strategy performance evaluation. Required Skills & Qualifications Strong hands-on programming experience in Python (required); additional experience with C++ is a plus. Solid understanding of algorithmic trading systems, including signal development, execution logic, and risk constraints. Experience with data engineering, especially data labeling, pattern detection, and feature pipeline construction. Proficiency in working with PostgreSQL, Redis, and FastAPI. Good knowledge of crypto exchange APIs (WebSockets & REST), order types, and real-time data handling. Familiarity with quantitative strategy concepts (PnL attribution, Sharpe ratio, drawdowns, position sizing). Ability to build clean, maintainable code with attention to detail and performance. Prior experience with strategy development or backtesting frameworks. Deep curiosity about crypto markets, with a strong drive to build practical, alpha-generating systems. Preferred Qualifications Experience in systematic trading or algorithmic strategy implementation in crypto or traditional markets. Knowledge of pattern detection systems (e.g., SMC, market structure, candlestick/chart patterns). Exposure to machine learning models (supervised, ensemble, reinforcement learning) applied to financial data. Understanding of portfolio optimization, risk modeling, and capital allocation logic.