2079 Reinforcement Jobs - Page 23

Job Description Job Name Instructional Designer Job Function HR/Business Shared Job Summary Summary of the overall responsibilities of this job (please note that this information is typically used to provide a general overview of the position to internal and external applicants.) Works with an experienced instructional designer to review needs assessment information to determine training goals. Reviews and updates existing training programs using content provided by subject matter experts. Uses template-oriented e-Learning software applications to update or develop online courses. Creates program evaluations and tests based on course objectives. Job Responsibilities List of the role's key duties and/or responsibilities (up to a maximum of eight) including important features of the job, the general nature, and the level of the work that an employee performs. Assists in conducting in-depth job-task analysis and/or needs assessment to identify learning objectives, and to determine training solutions and other performance enhancement solutions (e.g., management reinforcement, rewards, role clarity, job aids, etc.) Consults with managers and reviews needs assessment and/or job-task analysis information to determine the focus of training content, and to ensure training is focused on increasing the capability of employees to perform in their job. Applies knowledge of instructional design theory to design course content, working with subject matter experts, management, trainers, etc. At this level, design efforts are targeted on individual modules within larger programs or are standalone products focused on a narrow topic. Applies knowledge of adult learning theory to identify appropriate training media and methodologies based on audience learning styles, course content, audience location, point within the learning process, etc. Training methodologies may include group lecture, role play, simulation exercises, self-study, on-the-job training, computer-based training, etc. Researchers, selects, and modifies existing training curriculum, content, materials, job aids, etc. to meet learning needs. Reviews program evaluations, test results, and participant and manager feedback on training effectiveness to make recommendations for program improvement. Creates program evaluations and tools to measure program effectiveness, to assist in determining whether desired learning and performance outcomes are achieved. Identifies needs for outside resources, and sources vendors, as appropriate. Handles vendor management, to include coordination of resources and ensuring quality of product and service levels delivered. Preparation, Training & Experience Overview of the minimum knowledge, skills and abilities that are typically required to perform the duties of the role. In lieu of any required and/or preferred technical/managerial experience, participation in a company-wide sponsored rotational assignment program that provides broad exposure to multiple functions within the organization would be considered. Bachelor's degree or equivalent experience required, in addition to 3 to 4 years of experience in delivering training or supporting the development of training materials. Must have completed formal courses in learning design and adult learning theory, and reflect clear ability to translate that knowledge into developing quality training solutions. Demonstrates strong written and verbal communication skills. Demonstrates solid project management skills. Knowledge of common e-Learning software applications required, including creating new modules Required Software Skills: Microsoft Office, Articulate Storyline, Vyond, Well Said Proficiency Level in each: Intermediate to Advanced

Bosch Software Engineering, Data Science Pune, Maharashtra, India Posted on Jul 14, 2025 Apply now Company Description Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. Job Description Education and Work Experience Requirements: 5 to 8 years of experience as Data Scientist· 2 to 3 years of experience in Generative AI solution development· Strong understanding of AI agent collaboration, negotiation, and autonomous decision-making. Experience in developing and deploying AI agents that operate independently or collaboratively in complex environments. Deep knowledge of agentic AI principles, including self-improving, self-organizing, and goal-driven agents. Proficiency in multi-agent frameworks such as AutoGen, LangGraph, LangChain, and CrewAI for orchestrating AI workflows. Hands-on experience integrating LLMs (GPT, LLaMA, Mistral, etc.) with agentic frameworks to enhance automation and reasoning. Expertise in hierarchical agent frameworks, distributed agent coordination, and decentralized AI governance. Strong grasp of memory architectures, tool use, and action planning within AI agents. Autonomy Score: Measures the degree of independence in decision-making. Collaboration Efficiency: Evaluates the ability of agents to work together and share information. Task Completion Rate: Tracks the percentage of tasks successfully executed by agents. Response Time: Measures the latency in agent decision-making and execution. Adaptability Index: Assesses how well agents adjust to dynamic changes in the environment. Resource Utilization Efficiency: Evaluates computational and memory usage for optimization. Explainability & Interpretability Score: Ensures transparency in agent reasoning and outputs. Error Rate & Recovery Time: Tracks failures and the system’s ability to self-correct. Knowledge Retention & Utilization: Measures how effectively agents recall and apply information. Hands-on experience with LLMs such as GPT, BERT, LLaMA, Mistral, Claude, Gemini, etc. Proven expertise in both open-source (LLaMA, Gemma, Mixtral) and closed-source (OpenAI GPT, Azure OpenAI, Claude, Gemini) LLMs. Advanced skills in prompt engineering, tuning, retrieval-augmented generation (RAG), reinforcement learning (RAFT), and LLM fine-tuning (PEFT, LoRA, QLoRA). Strong understanding of small language models (SLMs) like Phi-3 and BERT, along with Transformer architectures. Experience working with text-to-image models such as Stable Diffusion, DALL·E, and Midjourney. Proficiency in vector databases such as Pinecone, Qdrant for knowledge retrieval in agentic AI systems. Deep understanding of Human-Machine Interaction (HMI) frameworks within cloud and on-prem environments. Strong grasp of deep learning architectures, including CNNs, RNNs, Transformers, GANs, and VAEs. Expertise in Python, R, TensorFlow, Keras, and PyTorch. Hands-on experience with NLP tools and libraries: OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Knowledge Graphs, and LLM-based applications. Proficiency in advanced statistical methods and transformer-based text processing. Experience in reinforcement learning and planning techniques for autonomous agent behavior. Mandatory Skills: Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. Strong understanding of LLMs, and associated technologies like RAG, Agents, VectorDB and Guardrails· Hand-on experience in GenAI frameworks like LlamaIndex, Langchain, Autogen, etc. Experience in cloud services like Azure, GCP and AWS· Multi-agent frameworks: AutoGen, LangGraph, LangChain, CrewAI· Large Language Models (LLMs): GPT, Qualifications BE,B Tech, MTech Additional Information 7-11 years Apply now See more open positions at Bosch

Role Purpose Responsible for the development of instructional designed content for global contact centers. These include course design, manuals, outlines, course lesson plans, evaluation tools and other relevant job aids. Key Accountabilities Conduct training needs analysis through a systematic approach (such as Performance Thinking) by understanding the business need, current competencies, training methods, cost and effectiveness. Responsible for managing onboarding and related programs Determine the most effective instructional design methods for training delivery, which take into consideration training principles, audience, and complexity Identify learning objectives and determine method used for assessing knowledge and skill based off-of defined behaviors and process details. Draft and create storyboards, content, and reinforcement tools. Responsible for the design and development of training curriculum, including course design, course lesson plans, participant materials, and job aids; and coordinate the updating of all training materials as needed. Create knowledge base and maintenance plans ensuring all training materials are kept up-to-date and reflect the latest processes and system changes. Lead and manage train the trainer sessions ensuring the intent, content and course flow is understood. Evaluate and assess training effectiveness through various data gathering formats (assessments, surveys, etc.) Create a reconciliation process for all content to validate outcomes are being delivered as expected. Using reconciliation, evaluation results and other feedback, having a strategic (considering timing and resource needs) continuous improvement program in place for training content and tools. Key Skills & Experiences Education Associates degree or Bachelors’ degree in adult education or instructional design and training development or an equivalent combination of education and work-related experience. Experience 1 – 3 years progressive work-related experience in instructional design or another relevant field. Technical Skills and Knowledge Demonstrates clear, concise, and succinct communication skills, including adapting both verbal and written communication to the needs and level of user. Demonstrated proficiency in gaining desired behaviors through effective training methodologies. Demonstrated understanding of instructional program design models, techniques and methodologies (ex: ADDIE, SAM). Demonstrated proficiency with publishing and media development programs, Adobe Creative Cloud programs preferred. Demonstrated knowledge of basic web design (ex: WordPress, SharePoint, etc.). Experience with Microsoft Office, including PowerPoint and Word. Awareness in evaluating training effectiveness models, ex. Kirkpatrick. Have basic technical troubleshooting abilities to enable a hybrid working model (combination office & remote) Must be comfortable using meeting systems and video cameras Physical Requirement: Ensure PCI Compliance and customer data privacy is met in accordance with IHG guidelines Flexible work environment with a blend of remote and office work (determined by your line manager) Flexible work time based on office hour requirements Must provide internet access and some technology per IHG guidelines At IHG Hotels & Resorts, we work together to deliver True Hospitality for Good on a global scale. With corporate offices and over 6,000 hotel destinations worldwide, a career at IHG is the perfect way to broaden your horizons. You’ll experience our unique culture and brilliant colleagues who will support and inspire you. With a host of corporate opportunities to choose from, wherever you are on your career journey, and whatever you want to achieve there’s Room for You at IHG. Over recent years, we’ve transformed our company. We have bold ambitions to drive performance and maintain our relentless focus on growth in order to be the hotel company of choice that guests & owners love. We are a hospitality business at our core and value connections and being together helps us foster a unique sense of belonging that also supports productivity. That’s why here at IHG, we give our colleagues flexibility and balance – working in a hybrid way, blending office and remote working collectively. We recognise that every role is different, that’s why leaders work with teams to determine how and when they collaborate. We provide a wide range of benefits designed to help you live your best work life. These include impressive room discounts across our many properties, recharge days and volunteering days throughout the year. Through our myWellbeing framework, we are committed to supporting wellbeing in your health, lifestyle, and workplace. We offer a unique and inclusive culture, where there is always Room for You to belong, grow and make a difference. Our mission is to welcome everyone and create inclusive teams where we celebrate difference and encourage colleagues to bring their whole selves to work. IHG Hotels & Resorts provides equal employment opportunities to applicants and employees without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other category protected by applicable laws. We promote a culture of trust, support, and acceptance. Always welcoming different backgrounds, experiences, and perspectives. Don't quite meet every single requirement, but still believe you'd be a great fit for the job? We'll never know unless you hit the 'Apply' button. Start your journey with us today.

Company: Arbot/Barsys Location: New Delhi About Arbot Arbot is at the forefront of AI-driven innovation, developing cutting-edge solutions that redefine the way industries operate. We are seeking a visionary Head of AI to lead our artificial intelligence initiatives and drive technological advancements across our platforms. Job Description: As the Head of AI at Arbot, you will be responsible for shaping and executing our AI strategy, leading a team of AI researchers and engineers, and ensuring the successful development and deployment of AI-powered solutions. This is a senior leadership role requiring deep technical expertise, strategic thinking, and a strong ability to collaborate across multidisciplinary teams. Key Responsibilities Define and execute Arbot’s AI vision, strategy, and roadmap. Lead and mentor a team of AI engineers, data scientists, and researchers. Drive the research, development, and deployment of innovative AI models and solutions. Oversee the design and optimization of AI architectures, algorithms, and frameworks. Collaborate with product, engineering, and business teams to integrate AI capabilities into Arbot’s offerings. Ensure ethical AI practices and compliance with relevant regulations and industry standards. Stay abreast of emerging AI trends, technologies, and best practices to maintain a competitive edge. Build partnerships with academia, research institutions, and industry leaders to advance AI initiatives. Represent Arbot in AI-related conferences, panels, and public forums. Qualifications & Experience 10-15+ years of experience in AI, machine learning, deep learning, or a related field. Proven track record of leading AI-driven projects and deploying AI solutions at scale. Strong expertise in AI/ML techniques, including neural networks, NLP, computer vision, and reinforcement learning. Proficiency in AI development tools and frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experience with cloud-based AI/ML services (AWS, Google Cloud, Azure) and big data technologies. Strong programming skills in Python, R, or similar languages. Ph.D. or Master’s degree in Computer Science, AI, Machine Learning, or a related field preferred. Excellent leadership, communication, and strategic thinking abilities. Ability to translate complex AI concepts into actionable business insights. Why Join Arbot? Opportunity to lead AI innovation in a rapidly growing company. Collaborative and dynamic work environment with top-tier professionals. Competitive compensation, benefits, and equity options. Access to cutting-edge AI research and technologies. Impactful work that shapes the future of AI applications across industries. If you are passionate about AI and ready to lead groundbreaking initiatives, we would love to hear from you. Apply now and be part of Arbot’s mission to revolutionize the AI landscape. How to Apply: Please submit your resume, a cover letter detailing your AI leadership experience, and any relevant portfolio or project links

Description Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. The candidate will leverage data analysis tools like SQL, Excel, and other data management systems to extract and examine data, driving informed decision-making. By monitoring existing metrics and developing new ones in collaboration with internal teams, identify opportunities to enhance processes and systems. Design and implement reporting solutions that empower stakeholders to effectively manage the business. Additionally, support cross-functional teams in the day-to-day execution of program implementation and lead small to medium operational enhancement projects, driving continuous improvement and optimizing outcomes. Key job responsibilities Retrieve and analyze data using SQL, Excel, and other data management systems. Monitor existing metrics and create/implement new metrics where needed, partnering with internal teams to identify process and system improvement opportunities. Design and implement reporting solutions to enable stakeholders to manage the business and make effective decisions. Support cross-functional teams on the day-to-day execution of the existing program implementation. Drive small to medium operational enhancement projects. Basic Qualifications Bachelor's degree or equivalent Experience in Excel (macros, index, conditional list, arrays, pivots, lookups) Bachelor's degree in business or analytical discipline Knowledge of SQL Knowledge of Python, VBA, Macros, Selenium scripts Preferred Qualifications 3+ years of complex Excel VBA macros writing experience Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc. Are enrolled in or have completed a Bachelor's degree in business or analytical discipline Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 12 SEZ Job ID: A3032594

SUMMARY Carpenter Foreman Job Title: Carpenter Foreman Job Overview: We are seeking an experienced and skilled Carpenter Foreman to lead and manage carpentry operations at project sites. The ideal candidate should possess strong technical carpentry skills, the ability to assign tasks effectively, and ensure accurate on-site measurements. Key Responsibilities: Perform high-quality carpentry work, including cutting, shaping, and installation. Supervise and allocate tasks to team members at the job site. Take accurate measurements and ensure all work aligns with project specifications. Monitor workflow and ensure timely completion of carpentry tasks. Maintain safety standards and quality control throughout the project. Requirements Requirements: Proven experience in carpentry, preferably in a supervisory or foreman role. Strong knowledge of construction tools, materials, and techniques. Ability to read blueprints and technical drawings. Excellent leadership and communication skills. Ability to work independently and manage a team on-site. Benefits Tax - Free Monthly Salary: OMR 180 250 (based on performance in online interview) Working Hours: 10 hours per day Weekly Off: One day per week Accommodation: Provided free of cost Transportation & Medical: Free Employment Visa: 2-year contract Flight Ticket: Provided by the company

About Artha Group Artha is a performance-first venture capital and private equity group managing ₹1,250+ crores across Artha Venture Fund, Artha Select Fund, and Artha Continuum Fund. We’ve backed 120+ high-growth companies like OYO Rooms, Karza, Rapido, and Purplle, with presence across India, Africa, Southeast Asia, and the UK. Our edge isn’t just capital—it’s people. And now we’re hiring someone to coach them like elite athletes. Role Overview This is not an HR business partner role. This role sits at the intersection of personalized learning , capability building , and performance coaching . You’ll build custom development journeys for every single individual at Artha - from Day 0 onboarding to long-term skill acceleration You're not here to administer off-the-shelf trainings. You're here to coach, track, and design learning that delivers real-world ROI. Think of yourself as the head coach of a championship team - responsible for raising the game of every player on the field. What You'll Own 1. Individual Learning Journeys Design customized learning maps for every hire—linked to their role blueprint, team priorities, and performance goals. Own the first 90-day onboarding journey , combining mindset alignment, technical tool mastery, Artha’s execution standards, and real accountability. Go beyond generic LMS content—get to know each person, build trust, and personalize their growth roadmap. 2. Coaching Culture Be the coach-on-call , not a one-time trainer. Run daily, weekly, and monthly check-ins as needed to reinforce skills and mindset shifts. Lead post-training integrations and reinforcement loops to ensure concepts are embedded. Coach department heads to coach their teams—turning managers into force multipliers. 3. Learning Program Design & Execution Run the entire L&D engine : schedule training blocks, manage sessions, build calendars, and execute feedback cycles. Curate and co-create training content tailored to Artha’s real operational needs —from tool adoption to decision-making frameworks to communication clarity. Identify real-time skill gaps across departments and roles; respond fast with targeted interventions. Collaborate with external trainers as needed, but own the full program outcome . 4. Feedback Systems & Growth Visibility Build and manage structured feedback loops with reporting managers and team leads—ensuring every employee gets input at the right time, in the right way. Track not just attendance or completion, but application of skills on the job. Surface blockers, blind spots, and progress patterns to leadership with clarity and honesty. 5. Org-Wide Learning Enablement Build a company-wide learning dashboard : who’s learning what, why, and how it’s helping performance. Align learning journeys with department goals and quarterly team OKRs. Report learning ROI in terms of productivity, execution quality, and impact metrics —without ever needing to spell out “ROI". You’e a Fit If You: Have 6–10 years in L&D, capability building, or professional coaching Have designed and run full 90-day onboarding or skill-building journeys Know how to connect with individuals and design custom paths , not mass programs Are deeply familiar with training operations: from scheduling to measuring effectiveness Have built trust across levels—from first-year analysts to CXOs Bonus: You’re a certified coach (ICF or equivalent) or trained in org psych / learning design Not the Right Fit If You: Want a generic HRBP or content curation role Think LMS equals learning Are uncomfortable being hands-on in building decks, scheduling workshops, or coaching directly Compensation Total Annual Compensation - ₹37,50,000 ₹32,00,000 per annum (fixed annual salary) ₹3,00,000 retention bonus (paid annually) ₹2,50,000 ESOP grant annually (each annual grant comes with its own vesting schedule) Additional performance-linked incentives available after 6 months

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Develop ML models, platforms, and services for Adobe Express, covering the entire ML lifecycle. About The Team The AI Foundation Team at Adobe Express aims to develop a groundbreaking AI stack using internal and external technologies to improve feature speed and quality. Develop ML models and services, collaborate with teams, improve user experience at Adobe Express. What You'll Do Research, design, and implement advanced ML models and pipelines for training and inference at scale, including techniques in computer vision, NLP, deep learning, and generative AI. Integrate Large Language Models (LLMs) and agent-based frameworks to support multimodal creative workflows, enabling rich, context-aware content generation and dynamic user experiences. Collaborate with multi-functional teams to translate product requirements into ML solutions, iterating from proof-of-concept to fully productionized services. Develop robust platforms for continuous model training, experimentation, A/B testing, and monitoring, ensuring that model quality and relevance remain consistently high. Leverage distributed computing technologies and cloud infrastructures to handle large-scale data processing, feature engineering, and real-time inference, optimizing for performance and cost-efficiency. Implement reliable APIs and microservices that serve ML models to end users, ensuring alignment to standard methodologies in security, compliance, scalability, and maintainability. Stay ahead of emerging ML research, tools, and frameworks, evaluating and integrating new technologies such as sophisticated LLMs, reinforcement learning-based agents, and innovative inference optimization techniques. In the near future, we will expand the model coverage to include more creative tasks. We will also improve the model architectures to achieve better latency and accuracy. Additionally, we will integrate federated learning or domain adaptation strategies to reach diverse audiences. Basic Qualifications: PhD or Master’s or Bachelor’s in Computer Science or equivalent experience, ML, Applied Mathematics, Data Science, or a related technical field. 14+years of industry experience. Proficiency in Python and Java for ML model development and systems integration. Hands-on experience with deep learning frameworks, including TensorFlow and PyTorch. Demonstrated experience working with LLMs and agent frameworks to develop advanced AI-based experiences. Proficiency in computer vision and NLP techniques for multimodal content understanding and generation. Work experience in Creative Domains, Imaging Domains will be highly useful. Experience in developing and deploying RESTful web services and microservices architectures for applications involving ML. Proficiency with UNIX environments, Git for version control, and Jenkins for CI/CD processes. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more about our vision here. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

About Conserve Solution: Group Established in 2016 in Qatar, to serve the Construction Sector with Engineering Design Support Services to companies in Asia, Middle East, Europe, Australia, Canada, US and other parts of the world, we are an exponentially growing engineering company with 425+ People across the globe. Conserve provides wide range of services for green building and MEP solutions. Engineering design and support such as Architectural drawings, Structural drawings, MEP, BIM modeling, CAD services and 3D scanning. Sustainability such as LEED services, GSAS services, Energy services, CXA commissioning, Environmental services, Acoustical services, CEEQUAL consultancy services and BREEAM. Simulation and analysis such as Simulation engineering, Structural analysis, Stress analysis, Surge analysis, Computational fluid dynamics, detailed engineering services and Building envelope design and simulation. Thermal Imaging – Infrared Thermography SKILLS: Expert in creating accurate and clean structural drawings using AutoCAD, including plans, elevations, sections, and connection details. Skilled in developing Building Information Models (BIM) for structural elements, enabling coordination with other disciplines. Experience in preparing fabrication drawings for steel beams and connection details. Proficient in drafting reinforcement layouts for footings, slabs, beams, and columns following structural design standards. Prepare and update shop drawings for construction and generate as-built drawings post-completion for records. Advanced proficiency in Auto CAD, Revit, Navisworks, and BIM tools. Knowledge of exporting and managing drawings between Revit and AutoCAD to facilitate smooth workflow integration. Familiar with international and local standards such as ACI, AISC, BS, and Euro code.  Strong communication and team coordination skills. Advanced knowledge of construction methodologies and sequencing. Strong MS Office skills.  Ability to prioritize multiple tasks and deliver drawings within tight deadlines RESPONSIBILITIES: Produce detailed drawings for foundations, columns, beams, slabs, and structural steel components according to design inputs. Create clear and precise bar bending schedules (BBS) and reinforcement details as per structural engineer’s instructions. Update drawings in response to markups, design changes, or site feedback ensuring accuracy and version control. Create accurate and clear technical drawings that reflect all building details.  Guide junior team members and oversee quality of their outputs. Strong attention to detail to minimize errors in drawings. Communicate with Teammates, Team leaders and project managers. Ensure model version control and change documentation. Conduct periodic Quality assurance checks. Expertise in Interdisciplinary Coordination and Clash Detection. Expertise in Design Development and Construction Documentation. Organize drawing files, backups, and maintain version history using proper naming conventions and filing systems. Knowledge in Multi discipline Drawings (ARCH ,MEP & Etc.) . Basic understanding of Architecture, landscape layouts and MEP components. Basic knowledge of 3D modeling software is advantageous. Should be Keen to learn new software tools and drafting technologies. EDUCATION & EXPERIENCE REQUIREMENT: Bachelor of Engineering or technology in Civil. Should possess 2+ years experience in Architectural and Structural Drafting. Expertise in AutoCAD, Revit and Navis work. Possess Excellent Communication and Interpersonal Skill. Preferred – Experience in Gulf Project. If you are interested, kindly share your resume to Moulika - HR 78457 86068 (whatsapp) / moulika@conservesolution.com Job Location: Trichy Kindly have a look on our company website https://www.conservesolution.com/

Designation: AI/ML Engineer Location: Gurugram Experience: 3+ years Budget: Upto 35 LPA Industry: AI Product Role and Responsibilities: Model Development: Design, train, test, and deploy machine learning models using frameworks like Pytorch and TensorFlow, specifically for virtual try-on applications with a focus on draping and fabric simulation. Task-Specific Modeling: Build models for tasks such as Natural Language Processing (NLP), Speech-to-Text (STT), and Text-to-Speech (TTS) that integrate seamlessly with computer vision applications in the virtual try-on domain. Image Processing: Implement advanced image processing techniques including enhancement, compression, restoration, filtering, and manipulation to improve the accuracy and realism of draping in virtual try-on systems. Feature Extraction & Segmentation: Apply feature extraction methods, image segmentation techniques, and draping algorithms to create accurate and realistic representations of garments on virtual models. Machine Learning Pipelines: Develop and maintain ML pipelines for data ingestion, processing, and transformation to support large-scale deployments of virtual try-on solutions. Deep Learning & Draping: Build and train convolutional neural networks (CNNs) for image recognition, fabric draping, and texture mapping tasks crucial to the virtual try-on experience. AI Fundamentals: Leverage a deep understanding of AI fundamentals, including machine learning, computer vision, draping algorithms, and generative AI (Gen AI) techniques to drive innovation in virtual try-on technology. Programming: Proficiently code in Python and work with other programming languages like Java, C++, or R as required. Cloud Integration: Utilize cloud-based AI platforms such as AWS, Azure, or Google Cloud to deploy and scale virtual try-on solutions, with a focus on real-time processing and rendering. Data Analysis: Perform data analysis and engineering to optimize the performance and accuracy of AI models, particularly in the context of fabric draping and garment fitting. Continuous Learning: Stay informed about the latest trends and developments in machine learning, deep learning, computer vision, draping technologies, and generative AI (Gen AI), applying them to virtual try-on projects. Skills Required: Experience: Minimum of 5 years in Computer Vision Engineering or a similar role, with a focus on virtual try-on, draping, or related applications. Programming: Strong programming skills in Python, with extensive experience in Pytorch and TensorFlow. Draping & Fabric Simulation: Hands-on experience with draping algorithms, fabric simulation, and texture mapping techniques. Data Handling: Expertise in data pre-processing, feature engineering, and data analysis to support high-quality model development, especially for draping and virtual garment fitting. Deep Neural Networks & Gen AI: Extensive experience in working with Deep Neural Networks, Generative Adversarial Networks (GANs), Conditional GANs, Transformers, and other generative AI techniques relevant to virtual try-on and draping. Advanced Techniques: Proficiency with cutting-edge techniques like Stable Diffusion, Latent Diffusion, InPainting, Text-to-Image, Image-to-Image models, and their application in computer vision and virtual try-on technology. Algorithm Knowledge: Strong understanding of machine learning algorithms and techniques, including deep learning, supervised and unsupervised learning, reinforcement learning, natural language processing, and generative AI.

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 Gen AI (Large Language 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. Responsibilities include: · Conduct independent oversight of enterprise-wide models with a focus on Machine Learning based models for NLP/NLU, marketing, 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 AI/MLresearch 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 using Machine Learning2. 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 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: 0-3 years experience in analytics, modeling, data science, model risk management or relevant fields. Background: MBA, Master’s Degree In Machine Learning, Computer Science, 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, R, JAVA, is a must have. Gen AI/ 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.

Job Description NP- immediate Location-Technopark, Trivandrum Experience- 5+ years (Mandatory) We are seeking a highly skilled and experienced Senior AI Engineer with a minimum of 5 years of hands-on experience in designing, developing, and deploying robust Artificial Intelligence and Machine Learning solutions. The ideal candidate will be a strong problem-solver, adept at translating complex business challenges into scalable AI models, and capable of working across the entire AI/ML lifecycle, from data acquisition to model deployment and monitoring. This role requires a deep understanding of various AI techniques, strong programming skills, and a passion for staying updated with the latest advancements in the field. Key Responsibilities: ● AI/ML Solution Design & Development: ○ Lead the design and development of innovative and scalable AI/ML models and algorithms to address specific business needs and optimize processes. ○ Apply various machine learning techniques including supervised, unsupervised, and reinforcement learning, deep learning, natural language processing (NLP), and computer vision. ○ Collaborate with data scientists, product managers, and other stakeholders to understand business requirements and translate them into technical specifications. ● Data Management & Preprocessing: ○ Oversee the collection, preprocessing, cleaning, and transformation of large and complex datasets to prepare them for AI model training. ○ Implement efficient data pipelines and ensure data quality and integrity. ○ Perform exploratory data analysis to uncover insights and inform model development. ● Model Training, Evaluation & Optimization: ○ Train, fine-tune, and evaluate AI/ML models for optimal accuracy, performance, and generalization. ○ Select the most suitable models and algorithms for specific tasks and optimize hyperparameters. ○ Conduct rigorous testing and debugging of AI systems to ensure reliability and desired outcomes. ● Deployment & MLOps: ○ Lead the productionization of AI/ML models, ensuring seamless integration with existing systems and applications. ○ Implement MLOps best practices for model versioning, deployment, monitoring, and retraining. ○ Develop and maintain APIs for AI model integration. ● Research & Innovation: ○ Continuously research and evaluate the latest advancements in AI/ML research, tools, and technologies. ○ Propose and implement innovative solutions to complex problems. ○ Contribute to the strategic direction of AI initiatives within the company. ● Collaboration & Mentorship: ○ Work collaboratively with cross-functional teams (e.g., software development, data science, product teams). ○ Clearly articulate complex AI concepts to both technical and non-technical audiences. ○ Mentor junior AI engineers and contribute to a culture of continuous learning. Required Skills and Qualifications: ● Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field. ● Minimum of 5 years of professional experience as an AI Engineer, Machine Learning Engineer, or a similar role. ● Expert-level proficiency in at least one major programming language used for AI development, such as Python (preferred), Java, or C++. ● Extensive experience with popular AI/ML frameworks and libraries, such as TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face Transformers. ● Strong understanding of core machine learning concepts, algorithms, and statistical modeling (e.g., regression, classification, clustering, dimensionality reduction). ● Solid knowledge of deep learning architectures (e.g., CNNs, RNNs, Transformers) and their applications. ● Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy). ● Familiarity with database systems (SQL, NoSQL) and big data technologies (e.g., Apache Spark, Hadoop) for managing large datasets. ● Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services for scalable deployment. ● Understanding of software development best practices, including version control (Git), testing, and code review. ● Excellent problem-solving skills, analytical thinking, and a data-driven approach. ● Strong communication and interpersonal skills, with the ability to explain technical concepts clearly. ● Ability to work independently and as part of a collaborative team in a fast-paced environment. ● Immediate Joiner preferred

Your Future Evolves Here Evolent partners with health plans and providers to achieve better outcomes for people with most complex and costly health conditions. Working across specialties and primary care, we seek to connect the pieces of fragmented health care system and ensure people get the same level of care and compassion we would want for our loved ones. Evolent employees enjoy work/life balance, the flexibility to suit their work to their lives, and autonomy they need to get things done. We believe that people do their best work when they're supported to live their best lives, and when they feel welcome to bring their whole selves to work. That's one reason why diversity and inclusion are core to our business. Join Evolent for the mission. Stay for the culture. What You’ll Be Doing: Senior ML Engineer We are seeking a highly experienced and innovative Senior Machine Learning Engineer to take end-to-end ownership of machine learning applications that directly impact our products and services. You will lead the design, development, release, and advancement of robust ML models, working closely with product owners, clinical stakeholders, and cross-functional engineering teams. Your role will be pivotal in translating complex business and clinical requirements into scalable, production-ready ML solutions. You’ll be responsible not only for building models but also for managing their lifecycle—from experimentation and validation to deployment, monitoring, and continuous improvement. This is a high-impact role for someone who thrives on accountability, collaboration, and delivering real-world value through machine learning. What You Will Be Doing: Design, develop, and deploy advanced machine learning models and algorithms to primarily improve the performance of our prior authorization platforms Construct advanced SQL queries, perform preprocessing, feature engineering, and transformations to analyze healthcare data and ensure high quality input for model training Collaborate with Product and Engineering teams to integrate and deploy ML models into development and production environments, spread across various locations in the US and India Work closely with clinicians and stakeholders to drive the development, efficacy, and improvement of our ML models Work with Infrastructure and Architecture teams to drive model efficiency, reliability, and scalability Leverage Azure DevOps for continuous integration and continuous deployment (CI/CD) of ML models Lead Machine Learning Operations (MLOps) to streamline the process of bringing a machine learning model into production, maintain, monitor, and identify opportunities for improvement Perform data mining as necessary to uncover insights, drive decision-making, and determine best channel approaches to drive automation across our platforms Implement feature flagging to rapidly pilot model enhancements, exception handling, and performance optimization Translate complex technical details into clear, actionable insights for stakeholders by telling stories through data Stay current with the latest advancements in ML and AI; testing and integrating new techniques into existing applications Mentor and guide junior engineers, fostering a culture of continuous learning and improvement Required Qualifications: Bachelor’s Degree in Computer Science, Machine Learning, Data Science, or a related field Proficiency in Python for constructing data pipelines, and using ML frameworks and libraries such as Keras, PyTorch, Scikit-Learn, TensorFlow, and XGBoost Expertise in statistical methods, data structures, algorithms, feature engineering, transformations, and data mining 2+ years advanced experience in SQL, including experience writing new and efficient SQL queries for complex analytical tasks 2+ years of experience developing in a cloud environment (AWS, GCS, Azure) 2+ years of experience with Github, Github Actions, CI/CD, and source control 2+ years working within an Agile environment Passion for solving problems within healthcare that have tangible impacts on healthcare operations and patient lives Excel in solving ambiguous and complex problems, being able to navigate through uncertain solutions, breaking down complex challenges into manageable components, and developing innovative solutions Preferred Qualifications: Master’s Degree or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field Healthcare experience, particularly using administrative and prior authorization data Proven experience with developing and deploying ML systems into production environments Proficiency using Azure cloud-based services and infrastructure, Azure ML Studio, and Azure MLOps Experience working with Product, Engineering, Infrastructure, and Architecture teams Experience with deep learning, reinforcement learning, NLP, and LLMs Experience with feature flagging Publications or contributions to the machine learning community To comply with HIPAA security standards (45 C.F.R. sec. 164.308 (a) (3)), identity verification may be required as part of the application process. This is collected for compliance and security purposes and only reviewed if an applicant advances to the final interview state. Reasonable accommodations are available upon request. Technical Requirements: We require that all employees have the following technical capability at their home: High speed internet over 10 Mbps and, specifically for all call center employees, the ability to plug in directly to the home internet router. These at-home technical requirements are subject to change with any scheduled re-opening of our office locations. Evolent is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status. If you need reasonable accommodation to access the information provided on this website, please contact recruiting@evolent.com for further assistance. The expected base salary/wage range for this position is $. This position is also eligible for a bonus component that would be dependent on pre-defined performance factors. As part of our total compensation package, Evolent is proud to offer comprehensive benefits (including health insurance benefits) to qualifying employees. All compensation determinations are based on the skills and experience required for the position and commensurate with experience of selected individuals, which may vary above and below the stated amounts.

Roles and Responsibilities Job Responsibilities: Preparing Reconciliation of steel & Concrete. Preparing Bills according to BOQ. Preparing Bar Bending Schedule (BBS) of different Building Elements. Estimating quantities for Enabling works. Preparing Measurement sheets of Concrete and shuttering to be claimed in Bill. Preparing Measurement sheets of other materials which are used in special places / Situations like Measurement of Thermacol at expansion joints etc. Calculating exact quantities of Concrete & Steel to eliminate wastage. Preparing Joint Measurement Reports (JMR) with PMC, Client & Subcontractor. Preparing Daily Progress Report, Weekly Progress Report & Monthly Progress Report with respect to BOQ If interested please share CVs on shital.nagrale@shapoorji.com Eligibility Criteria: 1. Full time BE/Diploma Civil. 2. 8+ years of experience. 3. Experience from core construction companies (Residential/Commercial Building Project) is required.

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets. We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world’s most complex challenges and deliver more impact together. Role description: Role description: We are now recruiting talented individuals to fill our current vacancy for Senior BIM Modeler to work on our projects in Bangalore, Mumbai, Noida and Hyderabad. Role accountabilities: Interpret structural design intent to produce detailed error reinforcement drawings and schedules for fabrication. Collaborate with engineers and clients to understand design requirements and resolve discrepancies Identify potential difficulties, conflicts or hazards and propose workable solutions Perform quality checks on all drawings and schedule before submission Ensure all drawings comply with relevant codes and standards Maintain accurate records of drawings, revisions and communication Collaborate and coordinate with other disciplines for design-changes and model challenges. Adhere to BIM Execution Plan and BIM project workflow criteria. Required competencies: Proficiency in CADS RC 2D rebar detailing software. Knowledge CADS RC 3D will be added advantage. Knowledge of Automation Scripting like Dynamo will be a big advantage. Strong knowledge of Euro codes and British codes, drawing standards and construction practices. Ability to read and interpret General arrangement drawings and structural design intent. Strong verbal and written communication skills for effective collaboration with Stakeholders. A strong, self-motivated, and assertive person capable of working under pressure, with a proactive attitude toward continuous learning and professional development . Well-developed interpersonal skills and the ability to communicate effectively at all levels. Flexible to adopt new work /challenge work as per business requirement. Software Expectations: Expert on detailing tools such as CADS RC 2D/3D Knowledge of BIM tools such as ACC, BIM 360 etc. Knowledge of REVIT® Qualifications & Experience: BE Civil/Diploma in Civil Engineering from a recognized University. 8 to 12 years’ experience as an RC detailer. Why Arcadis? We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It’s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together. You’ll do meaningful work, and no matter what role, you’ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you. Together, we can create a lasting legacy. Our Commitment to Equality, Diversity, Inclusion & Belonging We want you to be able to bring your best self to work every day which is why equality and inclusion is at the forefront of all our activities. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity employer; women, minorities, and people with disabilities are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, caste, creed, colour, religion, sex, age, disability, marital status, sexual orientation, and gender identity. #Join Arcadis. #Create a Legacy. #Hybrid

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Solicit, review and analyze business requirements Write business and technical requirements Communicate and validate requirements with stakeholders Validate solution meets business needs Work with application users to develop test scripts and facilitate testing to validate application functionality and configuration Participate in organizational projects and/or manage small/medium projects related to assigned applications Translates customer needs into quality system solutions and ensures effective operational outcomes Focus on business value proposition*Apply understanding of 'As Is' and 'To Be' processes to develop solution Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Role Focus Areas: Core Expertise Required: Provider Management Utilization Management Care Management Domain Knowledge: Value-Based Care Clinical & Care Management Familiarity with Medical Terminology Experience with EMR (Electronic Medical Records) and Claims Processing Technical/Clinical Understanding: Admission & Discharge Processes CPT Codes, Procedure Codes, Diagnosis Codes Core AI Understanding AI/ML Fundamentals: Understanding of supervised, unsupervised, and reinforcement learning Model Lifecycle Awareness: Familiarity with model training, evaluation, deployment, and monitoring Data Literacy: Ability to interpret data, understand data quality issues, and collaborate with data scientists AI Product Strategy AI Use Case Identification: Ability to identify and validate AI opportunities aligned with business goals Feasibility Assessment: Understanding of what’s technically possible with current AI capabilities AI/ML Roadmapping: Planning features and releases that depend on model development cycles Collaboration with Technical Teams Cross-functional Communication: Ability to translate business needs into technical requirements and vice versa Experimentation & A/B Testing: Understanding of how to run and interpret experiments involving AI models MLOps Awareness: Familiarity with CI/CD for ML, model versioning, and monitoring tools AI Tools & Platforms Prompt Engineering (for LLMs): Crafting effective prompts for tools like ChatGPT, Copilot, or Claude Responsible AI & Ethics Bias & Fairness: Understanding of how bias can enter models and how to mitigate it Explainability: Familiarity with tools like SHAP, LIME, or model cards Regulatory Awareness: Knowledge of AI-related compliance (e.g., HIPPA, AI Act) AI-Enhanced Product Management AI in SDLC: Using AI tools for user story generation, backlog grooming, and documentation AI for User Insights: Leveraging NLP for sentiment analysis, user feedback clustering, etc. AI-Driven Personalization: Understanding recommendation systems, dynamic content delivery, etc. Required Qualifications: Undergraduate degree or equivalent experience. 5+ years of experience in Business Analysis in healthcare including providing overall support, maintenance, configuration, troubleshooting, system upgrades, and more for Healthcare Applications Good experience on EMR / RCM systems Experience working with stakeholders, gathering requirements, and taking action based on their business needs Demonstrated success in running EMR / RCM / UM, CM and DM systems support in requirements, UAT, deployment supports Proven ability to work independently without direct supervision Proven ability to effectively manage time and competing priorities Proven ability to work with cross-functional teams At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. #NJP #Gen

Sr. Sales Excellence - SEM&C Gurgaon, Haryana, India + 2 more locations Date posted Jul 14, 2025 Job number 1846391 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 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. 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.

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 Gen AI (Large Language 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. Responsibilities include: Conduct independent oversight of enterprise-wide models with a focus on Machine Learning based models for NLP/NLU, marketing, 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 AI/MLresearch 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 using Machine Learning2. 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 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: 0-3 years experience in analytics, modeling, data science, model risk management or relevant fields. Background: MBA, Master’s Degree In Machine Learning, Computer Science, 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, R, JAVA, is a must have. Gen AI/ 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.

Company Description At Turner & Townsend we’re passionate about making the difference. That means delivering better outcomes for our clients, helping our people to realize their potential, and doing our part to create a prosperous society. Every day we help our major global clients deliver ambitious and highly technical projects, in over 130 countries worldwide. Our team is dynamic, innovative and client-focused, supported by an inclusive and fun company culture. Our clients value our proactive approach, depth of expertise, integrity and the quality we deliver. As a result our people get to enjoy working on some of the most exciting projects in the world. Job Description Conduct daily site walks to review progress, general quality of works and provide updates to the project team. An agreed Inspection and Test Plan to be developed by the General Contractor (GC) and provided to the RE. Attend concrete pours- six days a week – RE to discuss with GC and get the schedule of concrete pours (2 weeks ahead). Any site establishment works including engineered sub-grades, compaction works, ground reinforcement/stabilization. Ensuring all equipment accessibility, maintainability replacement requirements are still achievable after installation Foundations including Pads, Strips, Piles (Drive/CFA/Micro/Steel) Pile Caps, Tie Beams Concrete structures pre-& post pour installation quality; Primary, Secondary & Tertiary Steel Structural framing including connections, finish & all associated quality requirements. Execution of Roads and Road Layering, Carriageways, paving and landscape works (Hardscape & Soft scape) Qualifications Diploma in Civil / Construction Management Min 7 to 12 years of experience in construction field, preferred Data Center experience Excellent communication and interpersonal skills Tech savvy, good at documentation Client and stakeholder management Additional Information Turner & Townsend is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and actively encourage applications from all sectors of the community. Please find out more about us at www.turnerandtownsend.com Join our social media conversations for more information about Turner & Townsend and our exciting future projects: Twitter Instagram LinkedIn It is strictly against Turner & Townsend policy for candidates to pay any fee in relation to our recruitment process. No recruitment agency working with Turner & Townsend will ask candidates to pay a fee at any time. Any unsolicited resumes/CVs submitted through our website or to Turner & Townsend personal e-mail accounts, are considered property of Turner & Townsend and are not subject to payment of agency fees. In order to be an authorised Recruitment Agency/Search Firm for Turner & Townsend, there must be a formal written agreement in place and the agency must be invited, by the Recruitment Team, to submit candidates for review.

Company Description At Turner & Townsend we’re passionate about making the difference. That means delivering better outcomes for our clients, helping our people to realize their potential, and doing our part to create a prosperous society. Every day we help our major global clients deliver ambitious and highly technical projects, in over 130 countries worldwide. Our team is dynamic, innovative and client-focused, supported by an inclusive and fun company culture. Our clients value our proactive approach, depth of expertise, integrity and the quality we deliver. As a result our people get to enjoy working on some of the most exciting projects in the world. Job Description Conduct daily site walks to review progress, general quality of works and provide updates to the project team. An agreed Inspection and Test Plan to be developed by the General Contractor (GC) and provided to the RE. Attend concrete pours- six days a week – RE to discuss with GC and get the schedule of concrete pours (2 weeks ahead). Any site establishment works including engineered sub-grades, compaction works, ground reinforcement/stabilization. Ensuring all equipment accessibility, maintainability replacement requirements are still achievable after installation Foundations including Pads, Strips, Piles (Drive/CFA/Micro/Steel) Pile Caps, Tie Beams Concrete structures pre-& post pour installation quality; Primary, Secondary & Tertiary Steel Structural framing including connections, finish & all associated quality requirements. Execution of Roads and Road Layering, Carriageways, paving and landscape works (Hardscape & Soft scape) Qualifications Diploma in Civil / Construction Management Min 7 to 12 years of experience in construction field, preferred Data Center experience Excellent communication and interpersonal skills Tech savvy, good at documentation Client and stakeholder management Additional Information Turner & Townsend is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and actively encourage applications from all sectors of the community. Please find out more about us at www.turnerandtownsend.com Join our social media conversations for more information about Turner & Townsend and our exciting future projects: Twitter Instagram LinkedIn It is strictly against Turner & Townsend policy for candidates to pay any fee in relation to our recruitment process. No recruitment agency working with Turner & Townsend will ask candidates to pay a fee at any time. Any unsolicited resumes/CVs submitted through our website or to Turner & Townsend personal e-mail accounts, are considered property of Turner & Townsend and are not subject to payment of agency fees. In order to be an authorised Recruitment Agency/Search Firm for Turner & Townsend, there must be a formal written agreement in place and the agency must be invited, by the Recruitment Team, to submit candidates for review.

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking - Wealth Management, you will be a seasoned member of an agile team, tasked with designing and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. You will be responsible for implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm's business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code, maintaining algorithms that integrate seamlessly with generative AI systems and other appropriate technologies. Produces architecture and design artifacts for complex generative AI applications, ensuring design constraints are met by software code development. Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets to continuously improve generative AI applications and systems. Proactively identifies hidden problems and patterns in data, using these insights to drive improvements in coding hygiene and system architecture specific to generative AI. Contributes to software engineering communities of practice and events that explore new and emerging generative AI technologies. Fosters a team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience. Proficient in coding in one or more languages, with a strong emphasis on Python and AI/ML frameworks. Experience in developing, debugging, and maintaining code in a large corporate environment, utilizing modern programming languages and database querying languages. Comprehensive knowledge of the Software Development Life Cycle, with a focus on generative AI applications. Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, particularly in the context of AI/ML. Demonstrated knowledge of software applications and technical processes within technical disciplines such as cloud computing, artificial intelligence, machine learning, and mobile technologies. Expertise in AWS and GenAI/ML technologies. Preferred qualifications, capabilities, and skills Experience with AI model optimization and performance tuning to ensure efficient and scalable AI solutions. Familiarity with data engineering practices to support AI model training and deployment. Ability to collaborate with cross-functional teams to integrate generative AI solutions into broader business processes and applications. Strong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning. Experience with AI/ML libraries and tools such as TensorFlow, PyTorch, Scikit-learn, and Keras.

Job Title: Data Scientist Location: Chennai (Work From Office) Experience: 4 - 8 years About Us: At Objectways, we are at the forefront of AI innovation, solving real-world problems using cutting-edge machine learning and reasoning technologies. Our team works on ambitious projects involving agent trajectory prediction, complex reasoning systems, multimodal intelligence, and preference-based learning. We're looking for a talented Data Scientist eager to push the boundaries of applied AI. Role Overview: We are seeking an experienced Data Scientist (minimum 4 years) to work across a diverse range of AI projects, including: Machine Learning model development Agent Trajectory prediction and modeling Complex Reasoning and Decision Systems Preference Ranking & Reinforcement Learning Multimodal Reasoning (Text, Image, Audio) Prompt Validation and Evaluation for LLMs Key Responsibilities: Design and build ML models for structured and unstructured data Conduct agent-based simulations and develop trajectory learning systems Apply preference learning techniques for fine-tuned ranking outcomes Handle multimodal datasets and develop reasoning pipelines across modalities Validate and optimize prompts for large language model performance Translate research into scalable, production-level implementations Collaborate with cross-functional teams (Engineering, Product, Research) Required Qualifications: Minimum 4 years of hands-on experience in Data Science or Machine Learning roles Strong foundation in Python, PyTorch/TensorFlow, scikit-learn, and ML lifecycle tools Proven expertise in one or more: trajectory modeling, preference ranking, or multimodal systems Experience with LLM prompt engineering and evaluation techniques Solid understanding of complex reasoning algorithms, graph-based methods, or causal inference Strong problem-solving, analytical thinking, and communication skills Preferred Skills: Familiarity with tools like LangChain, Hugging Face, or OpenAI APIs Exposure to RLHF (Reinforcement Learning from Human Feedback) or prompt-tuning Experience with deploying ML models in production environments (e.g., using Docker, MLflow) Why Join Us: Work on high-impact, next-generation AI challenges Collaborate with top talent across domains Competitive salary + benefits + learning budget Flexible and remote-friendly work culture

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

About Calaxis by Credartha Calaxis by Credartha is on a mission to unchain AI development. We believe the $15 trillion promise of AI is being held hostage by a broken, fragmented, and prohibitively expensive development process. Our integrated pipeline is engineered to master data and empower organizations to own their future by building trustworthy, domain-specific AI. We are eliminating the bottlenecks of slow, biased, and unscalable manual annotation by pioneering a new method. Our core innovation, the "Council of Judges," automates expert data validation, replacing human armies with a cascade of specialized AI models to deliver systematic, scalable quality assurance. The Role We are looking for a pioneering Data Science Researcher to be the engine of our innovation and the architect of our technological advantage. You will be responsible for advancing the core intellectual property that underpins our entire platform. This role goes beyond applying existing models; you will be conducting foundational research to build, refine, and scale our proprietary methodologies, including our "Council of Judges" and our "Deeptech Self-Improving Flywheel". Your work will directly contribute to keeping Calaxis at the forefront of the AI evolution, ensuring our methods remain more efficient and powerful than the capital-intensive approaches that dominate the market. If you are driven to solve the most challenging problems in AI data generation, validation, and model improvement, and want to see your research have a direct commercial impact, this role is for you. What You'll Do: Lead foundational research and development of our "Council of Judges" AI, including advancing our proprietary "Two-Tiered" training paradigm. Design and implement novel algorithms and experiments to enhance the "Deeptech Self-Improving Flywheel," ensuring our entire system becomes more intelligent and efficient over time. Spearhead the research, testing, and integration of advanced Reinforcement Learning (RL) techniques to enhance our data generation and validation capabilities. Drive the continued development of our custom architectures, including our Multimodal LLM (VLM) for interpreting visual data and our Retrieval-Augmented Generation (RAG) pipeline. Innovate on our Central Dataset Generator to improve the quality and complexity of our automatically generated instruction-following datasets. Develop new methods for automated data validation and quality assurance, pushing the boundaries of what is possible in building trustworthy AI. Publish your findings in top-tier AI conferences and journals, establishing Calaxis as a thought leader in the industry. Collaborate closely with the engineering team to translate cutting-edge research into robust, scalable components of our production platform. Who You Are: You possess a Ph.D. , Master's or Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong publication record. You have proven experience in conducting original research in Natural Language Processing (NLP), and Machine Learning, particularly with Large Language Models (LLMs). You have deep expertise in areas such as Reinforcement Learning (especially RLHF), model fine-tuning, retrieval-augmented generation (RAG), and data generation techniques. Experience with multimodal models (V)LM is a significant advantage. You are a master of scientific programming with expert-level skills in Python and deep learning frameworks like PyTorch or TensorFlow. You have a pioneering mindset and are driven by the challenge of creating new methods, not just applying existing ones. You are capable of working independently to define research problems and see them through to production-ready solutions. Why Join Calaxis? This is a rare opportunity to shape the core technology of a company set to redefine the AI development lifecycle. At Calaxis, your research will not be a theoretical exercise; it will be the "core IP" that drives our business. You will have the resources and autonomy to pursue breakthrough ideas and see them deployed on a platform designed to impact every major industry vertical. Join us and build the future of AI.

Company Description G B Consulting is seeking a detail-oriented and technically sound Structural Draftsman to join our growing team. The ideal candidate should have at least 1 year of experience in preparing structural drawings using AutoCAD , with a diploma in civil engineering and a strong understanding of the behavior of structural members in RCC structures. As part of a structural consultancy handling residential, commercial, and high-rise projects , you will play a crucial role in producing accurate and clear construction drawings that align with engineering designs and site requirements. Key Responsibilities Prepare detailed structural drawings for RCC elements such as slabs, beams, columns, footings, staircases, retaining walls, etc. Work closely with engineers to develop and update Good-for-Construction (GFC) drawings. Understand and interpret structural design intent, sections, and reinforcement details accurately. Modify and revise drawings based on engineer mark-ups and site changes. Maintain drawing documentation and adhere to drawing standards and layering conventions. Organize drawings and coordinate revisions across multiple project phases. Assist with basic quantity take-offs and Excel-based schedules if needed. Communicate effectively with engineering and site teams for technical clarity. Skills & Requirements Proficiency in AutoCAD (2D drafting of structural elements) — minimum 1 year of hands-on experience. Basic knowledge of MS Excel and MS Word for documentation and BOQs. Familiarity with MS PowerPoint is a plus. Clear understanding of structural member behaviour (slab span direction, load paths, etc.). Good attention to detail and drafting clarity. Ability to read and interpret structural and architectural drawings. Should be able to manage multiple drawing sets and maintain version control. Good communication and teamwork skills.