2052 Reinforcement Jobs - Page 10

Role : Data Scientist Experience : 4-8 Years Working Days : 5 Days Work Mode : Hybrid (One week work from office in a month) Location : Bangalore/Chennai Notice Period - Immediate or 15 days maximum Key Responsibilities Design and develop predictive and prescriptive models using real-time and simulation-based data. Apply advanced techniques in time-series analysis, Bayesian inference, and probabilistic forecasting. Build and train deep learning models using PyTorch or TensorFlow for dynamic and high-dimensional datasets. Leverage reinforcement learning (RL) concepts, particularly in multi-agent environments, to model complex decision-making problems. Collaborate with engineering and product teams to integrate models into production environments. Conduct trajectory prediction, anomaly detection, or behavior modeling in contexts such as vehicle movement or intelligent systems. Utilize domain-specific knowledge such as vehicle kinematics and intelligent transportation systems to inform model design. Skills And Experiences Required 3+ years of experience in applied data science, preferably in real-time or simulation-based environments. Strong proficiency in Python, NumPy, Pandas, and deep learning frameworks like PyTorch or TensorFlow. Experience with time-series analysis, Bayesian models, or probabilistic forecasting. Understanding of reinforcement learning, especially multi-agent settings. Knowledge of vehicle kinematics, trajectory forecasting, or intelligent transportation systems. (ref:hirist.tech)

Job Description Embark on a transformative journey with JPMorgan as we evolve into a technologically advanced, client-focused company. We're seeking top talent for our AI engineering team to integrate machine learning into our key products, working closely with our tech partners. This role, part of the Payments Trust & Safety Team, offers a unique opportunity to influence the financial services industry by developing impactful Machine Learning solutions. Join us in building next-gen technology that leverages JPMorgan's unique data and full-service advantage to create high-impact AI applications and platforms. As a Applied AI ML Lead within the Payments AI/ML team at JPMorgan, you will collaborate with all lines of business and functions to deliver software solutions. You will have the opportunity to research, experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant business impact. You will also design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to promote and optimize business results. You will hire and lead a team of ML scientists as we set out to solve impactful business problems at JPMC. Job Responsibilities Collaborate with all of JPMorgan’s lines of business and functions to delivery software solutions. Experiment, develop and productionize high quality machine learning models, services and platforms to make huge technology and business impact. Design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result. Required Qualifications, Capabilities And Skills Formal training or certification on software engineering concepts and 5+ years applied experience MS or PhD and a degree in Computer Science, Statistics, Mathematics or Machine learning related field. Solid programming skills with Java, Python or other equivalent languages. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Expert in at least one of the following areas: Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Knowledge of machine learning frameworks: Tensorflow, Caffe/Caffe2, Pytorch, Keras, MXNet, Scikit-Learn. Experience in ETL data pipelines both batch and real-time data processing, Data warehousing, NoSQL DB. Strong analytical and critical thinking skills. Self-motivation, great communication skills and team player. Preferred Qualifications, Capabilities And Skills Cloud computing: Google Cloud, Amazon Web Service, Azure, Docker, Kubernetes. Experience in big data technologies: Hadoop, Hive, Spark, Kafka. Experience in distributed system design and development About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

About the Company: Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise. We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success. Website https://www.teksystems.com/en/careers-in-india Position Summary: We are seeking a highly skilled and experienced AI/ML Engineer with 3-5 years of hands-on experience in developing and deploying advanced AI solutions, specifically focusing on Generative AI and Agentic AI. The ideal candidate will possess a strong understanding of large language models (LLMs), prompt engineering, and the principles behind building autonomous AI agents capable of reasoning, planning, and taking actions to achieve complex objectives. You will be instrumental in designing, implementing, and integrating these cutting-edge AI systems on leading cloud platforms (AWS, Azure, or GCP). Key Responsibilities: • Generative AI Development: Design, develop, and implement advanced generative AI models (e.g., LLMs, GANs, VAEs, Diffusion Models) for diverse applications such as content creation, code generation, data synthesis, or other relevant domains. • Agentic AI System Design & Implementation: Architect, develop, and deploy autonomous AI agents capable of breaking down complex goals, making decisions based on context, interacting with external tools and APIs, and taking multi-step actions to achieve objectives with minimal human intervention. • Prompt Engineering & Orchestration: Master prompt engineering techniques to optimize the behavior and output of LLMs and design sophisticated orchestration mechanisms for coordinating multiple AI agents in complex workflows. • Cloud Platform Deployment: Leverage expertise in AWS, Azure, or GCP to deploy, manage, and scale Generative and Agentic AI models and pipelines. Utilize relevant cloud services (e.g., AWS SageMaker, Azure ML, Google AI Platform, Kubernetes, serverless functions, MLOps tools). • Model Training & Optimization: Train, fine-tune, and optimize generative and agentic AI models for performance, scalability, reliability, and efficiency, utilizing large datasets and advanced techniques. • Tool Integration for Agents: Integrate AI agents with various external tools, APIs, and data sources to expand their capabilities and enable them to interact with real-world systems. • Data Management for AI: Work with large and diverse datasets, including data collection, cleaning, transformation, and feature engineering, to ensure high-quality input for both generative and agentic models. This includes handling unstructured data (PDFs, HTML, audio, video) for processing. • Research & Innovation: Stay abreast of the latest advancements in Generative AI, Agentic AI, LLMs, and multi-agent systems research. Experiment with new frameworks (e.g., LangChain, AutoGen, CrewAI, LangGraph, Semantic Kernel) and identify opportunities to apply novel techniques. • MLOps & Productionization: Implement robust MLOps practices for the full lifecycle of AI models, including versioning, continuous integration/continuous delivery (CI/CD), monitoring, and automated retraining. Ensure the reliability and scalability of deployed AI systems. • Evaluation & Responsible AI: Develop and implement rigorous evaluation frameworks for assessing the performance, safety, and ethical implications of generative and agentic AI systems. Promote and adhere to principles of responsible AI development. • Collaboration & Communication: Collaborate effectively with cross-functional teams (data scientists, software engineers, product managers, business stakeholders) to translate business requirements into technical solutions and communicate complex AI concepts clearly. Required Skills & Qualifications: • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field. • 3-5 years of hands-on experience in AI/ML engineering, with a demonstrable focus on Generative AI and/or Agentic AI projects. • Strong practical experience with Generative AI models (e.g., LLMs, Transformers, GANs, Diffusion Models) and their applications. • Hands-on experience in designing, building, and deploying autonomous AI agents or multi-agent systems, utilizing frameworks like LangChain, AutoGen, CrewAI, or LangGraph. • Proficiency in Python and strong experience with major ML frameworks such as TensorFlow, PyTorch, or Keras. • Demonstrated experience with prompt engineering techniques for optimizing LLM behavior. • Proven ability to deploy and manage AI/ML solutions on at least one major cloud platform: o AWS: Experience with services like SageMaker, EC2, Lambda, Bedrock, Open Search. o Azure: Experience with Azure Machine Learning, Azure Functions, Azure OpenAI Service. o GCP: Experience with Google AI Platform (Vertex AI), Cloud Functions. • Solid understanding of machine learning algorithms, deep learning architectures, natural language processing (NLP), and information retrieval techniques (e.g., RAG). • Familiarity with containerization technologies (Docker, Kubernetes). • Experience with MLOps principles and tools for model deployment, monitoring, and lifecycle management. • Excellent problem-solving, analytical, and critical thinking skills. • Strong verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences. Preferred Skills (Nice to Have): • Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Azure AI Search) and knowledge graphs. • Familiarity with full-stack development, including building RESTful APIs using frameworks like FastAPI, Flask, or Django. • Experience with model evaluation tools like DeepEval, FMeval, or RAGAS. • Knowledge of prompt engineering frameworks (e.g., LangChain, LlamaIndex). • Knowledge of reinforcement learning and multi-agent reinforcement learning. • Contributions to open-source AI projects or relevant publications. • Experience with data orchestration tools (e.g., Apache Airflow).

Role : VP - CX Engagement Delivery Leader (Dialogflow CX, VertexAI, LLM, CX tech, CCaaS) Experience : 16+years Location : NCR/Bangalore Work Mode : Hybrid Technical Skills Strong technical background with a solid understanding of conversational AI technologies, machine learning, natural language processing, and software development methodologies. Proven experience in delivering Google CCAI, Dialogflow, Vertex.AI solutions. Strong background in Natural Language Processing (NLP), deep learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG). Experience with deep learning frameworks like PyTorch or TensorFlow. Experience with cloud platforms (AWS, Azure, GCP) for deploying AI models . Strong understanding of neural networks, transformers, and reinforcement learning. Familiarity with software development best practices, version control (e.g., Git), and agile methodologies. Experience with CI/CD pipelines and DevOps practices . Excellent software development skills to drive the development and deployment of cutting-edge AI solutions Leadership Skills Demonstrated leadership and team management skills, with the ability to inspire, guide, and develop a diverse team of professionals. Excellent client-facing skills, including effective communication, relationship-building, and negotiation abilities. Excellent problem-solving skills and the ability to think critically and creatively. Strong communication skills and the ability to work effectively in a team environment. Leadership qualities with a proactive and collaborative approach. BE/BTech/MCA/Ph.D. from tier I/II institute in CS or related field

About Evernorth Evernorth Health Services, a division of The Cigna Group (NYSE: CI), creates pharmacy, care, and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people. Role Title: Machine Learning Analyst Position Summary We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots. We are looking for AI Prompt Engineers with strong engineering, full stack expertise to build the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions. Extreme focus on speed to market and getting Products and Services in the hands of customer and passion to transform healthcare is key to the success of this role. Build scalable software solutions using LLM’s and other ML models to solve challenges in healthcare. Build enterprise grade AI solutions with focus on privacy, security, fairness. Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions Strong engineering skills to design the output from the AI with nodes and nested nodes in JSON or array, HTML formats as required – This is critical so that the AI output can be consumed as is and displayed on the dashboard for accelerated development cycles. Build extensible API Integrations, low code UI / UX solutions, with extremely short cycle times, to extract information from sources, integrate with GPT4, receive insights and make them available in intuitive, high performing dashboards Build solutions that align with responsible AI practices. Envision the solution outcomes to solve for the business problem with actionable insights and design viable solutions to meet the outcomes. Understand how AI is interpreting the data set and use that understanding to build prompts that lead to expected outcomes Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies. Work with frameworks(Tensorflow, PyTorch) and open source platforms like Hugging Face to deliver the best solutions Optimize existing generative AI models for improved performance, scalability, and efficiency. Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. Contribute to the establishment of best practices and standards for generative AI development within the organization. Experience Required Overall 1-3 years of experience 1+ years of Full stack engineering expertise with languages like C#, Python and Proficiency in designing architecture, building API Integrations, configuring and deploying cloud services, setting up authentication, monitoring and logging Experience in implementing enterprise systems in production setting for AI, computer vision, natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus. Experience with information storage/retrieval using vector databases like pinecone. Strong understanding and exposure in natural language generation or Gen AI like transformers, LLM’s, text embedding’s. Experience with designing scalable software systems for classification, text extraction/summary, data connectors for different formats (pdf, csv, doc, etc) Experience with machine learning libraries and frameworks such as PyTorch or TensorFlow, Hugging Face, Lang chain, Llama Index. 1+ years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects. Programming experience in C / C++, Java, Python. Strong knowledge of data structures, algorithms, and software engineering principles. Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Experience Desired Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure. Hands on experience on tools / products like Dynatrace, Splunk, Service Now preferred. Experience in identifying KPI on solution build using Generative AI, for Ex – RAG based Q&A, data summarization, text content generation, data extraction, etc. will be a big advantage. Understanding of standards and regulation related to use of GenAI for a US based Health Insurance provider preferred. Healthcare experience (preferred but not mandate) Education And Training Required Degree in Computer Science, Artificial Intelligence, or a related field. Location & Hours of Work: Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate. Primarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required. Equal Opportunity Statement Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations. About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact. We are seeking a talented Research Scientist (freelancer) to join our dynamic team and contribute to cutting-edge AI research and development. This is a remote, flexible opportunity where you can leverage your expertise in AI and machine learning to advance our research efforts and contribute to transformative technologies. Key Responsibilities: Annotate and evaluate AI-generated research content in the field of AI, machine learning, and related domains. Design research prompts and assess AI responses for clarity, relevance, and scientific accuracy in AI and machine learning concepts. Provide detailed feedback to enhance the AI's research quality and its ability to produce valuable, high-impact insights. Collaborate with AI teams to improve the integration of research findings into practical AI applications and systems. Develop novel algorithms and models for AI-driven applications across various domains. Collaborate with cross-functional teams to integrate research outcomes into production-level systems and products. Required Qualifications: Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field. Strong background in machine learning, deep learning, reinforcement learning, or natural language processing. Proven track record of original research, including publications in leading AI conferences or journals. Expertise in programming languages such as Python, C++, or similar, and knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch). Ability to think critically and creatively to address complex AI challenges. Excellent problem-solving skills, strong communication skills, and the ability to collaborate effectively in a team setting. Why join us? Competitive hourly pay: upto ₹1500 per hour. Fully remote and flexible work schedule. Opportunity to contribute to the advancement of AI technology. NOTE: Pay will vary by project and typically is up to ₹1500 per hour . If you work an average of 3 hours every day, you could earn up to ₹90,000 per month once you clear our screening process.

Job Summary: Act as domain experts in facilitating the fine-tuning of AI models, via techniques like Prompt Engineering and Reinforcement Learning Review/Generate technical content Help train state-of-the-art Large Language Models (LLMs) ​Required Qualifications: Proven experience as a transcriber/annotator or in a similar role is an added advantage Gra duation in any field; further education or certifications in transcription is a plus. Excellent listening skills and attention to detail. Strong command of English grammar, punctuation, and spelling. Proficiency in typing with a high level of accuracy. Must know basic computer skills.\ Ability to work independently and manage time effectively. Should be able to understand various accents. Stipend on monthly basis: 20k-40k Benefits: Oppo rtunity to work on cutting-edge technology projects. Collaborative and inclusive work environment. Career growth and professional development opportunities. A culture that values innovation and creativity. We are an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. DISCLAIMER: This application is only for a limited tenure contractor role and shouldn't be construed as a promise for a full-time or guaranteed long-term contract role.

About RISA Labs Cancer patients face not just a disease, but a broken system where delays in treatment are common due to outdated, error-prone workflows. RISA Labs is changing that with our Business Operating System as a Service (BOSS) - a powerful platform built for the vertical complexity of healthcare, that transforms healthcare operations. Unlike simple automation tools, BOSS breaks down complex workflows into small tasks, managed by smart AI agents like LLMs, digital twins, and reinforcement learners. This creates a digital workforce that doubles the efficiency of healthcare teams, letting a 1,000-person institution operate like it has 2,000 staff overnight. Founders RISA was founded by Kshitij Jaggi and Kumar Shivang, IIT Kanpur alumni with a proven track record from their previous healthcare startup, Urban Health. Their vision is to streamline oncology care through cutting-edge technology. Funding RISA Labs is backed by $3.5 million in seed funding, led by Flipkart co-founder Binny Bansal, with support from Oncology Ventures, General Catalyst, z21 Ventures, Odd Bird VC, and angel investor Ashish Gupta. Role Overview We are seeking a detail-oriented Oncology Prior Authorization Specialist to manage and streamline the prior authorization (PA) process for oncology treatments and procedures. In this role, you will ensure timely and accurate approvals while maintaining compliance with insurance guidelines. You will collaborate with oncologists, nursing staff, billing teams, and insurance payers to facilitate access to necessary oncology care and remove barriers to treatment. Responsibilities Manage Prior Authorization Process: Oversee the entire prior authorization process for oncology treatments, procedures, and medications, ensuring timely and efficient approvals Review Requests: Evaluate prior authorization requests to confirm they meet medical necessity criteria and payer guidelines Collaborate with Care Teams: Work closely with oncologists, nursing staff, and billing teams to gather necessary clinical documentation and ensure it is submitted accurately and promptly Insurance Coordination: Coordinate with insurance companies to resolve coverage issues, denials, and appeals, ensuring that patients receive the care they need without unnecessary delays Record Keeping: Maintain accurate records of all prior authorization requests, including approvals, denials, and appeals, ensuring documentation is compliant and well-organized Proactive Problem Resolution: Identify and address barriers to timely approvals, proactively addressing payer-specific requirements and facilitating smoother workflows Policy & Guideline Updates: Stay informed on insurance policy changes, payer guidelines, and new oncology treatments to ensure compliance and accurate processing of requests Provide Feedback & Insights: Support oncology care teams by offering feedback to improve the prior authorization workflow and streamline operational efficiency Utilize Technology: Use electronic medical records (EMR) systems (e.g., OncoEMR) and prior authorization platforms to manage and streamline processes Compliance: Ensure all communications and documentation comply with HIPAA and other relevant regulatory standards Qualifications Experience: Minimum of 3 years of experience managing medical prior authorizations, specifically within oncology Preferred Experience: Experience working in a cancer center or with oncology clients is highly preferred Knowledge: In-depth understanding of oncology treatments, procedures, and insurance requirements for medical prior authorizations Insurance & Reimbursement: Strong understanding of insurance policies, reimbursement processes, and medical necessity criteria for oncology care Technical Proficiency: Proficient in EMR systems (e.g., OncoEMR or similar platforms) and multiple payer portals, plans, and prior authorization tools Communication Skills: Excellent communication and interpersonal skills, with the ability to effectively liaise between healthcare teams, patients, and insurance payers Detail-Oriented: Ability to maintain accurate and organized documentation in a fast-paced environment Collaboration & Independence: Ability to work independently and collaboratively with care teams in a dynamic oncology care setting Compliance Knowledge: Strong knowledge of HIPAA compliance and other regulatory standards Preferred Certifications: Certification in Medical Coding, Healthcare Administration, or a related field is a plus

1. Handling the entire operations of the centre 2. Taking care of throughout responsibility of training and placements of the students. 3. Handling the entire administration of the centre. 4. Handling the collections of a particular centre. 5. Making daily reports 6. Taking care of certification of the students. 7. People reporting to the Center Operation Manager are: Admin, Trainers, Reception, Accounts , Security and housekeeping. 8. COM has to ensure: a) No dropouts b) Certification c)Upselling d)PTMs e)Student engagement activities f) Placement of students in centre Roles and Responsibilities 1. Handling the entire operations of the centre 2. Taking care of throughout responsibility of training and placements of the students. 3. Handling the entire administration of the centre. 4. Handling the collections of a particular centre. 5. Making daily reports 6. Taking care of certification of the students. 7. People reporting to the Center Operation Manager are: Admin, Trainers, Reception, Accounts , Security and housekeeping. 8. COM has to ensure: a) No dropouts b) Certification c)Upselling d)PTMs e)Student engagement activities f) Placement of students in centre

Be part of something bigger! As the world and the way people live is changing, we at Bekaert believe it’s our responsibility to contribute to finding new solutions for the future. With a 140+ year old heritage of excellence, innovation, and a future-focused mindset, we strive to create value for our customers and society. We aim to do this through innovative solutions and sustainable practices. We are committed to pushing the boundaries of steel wire transformation and coatings whilst also leveraging our expertise to develop innovative solutions with new materials and services in a safe, smart, and sustainable way. Our focus extends to markets such as new mobility, low-carbon construction, and green energy. As a dynamic and growing company with over 24 000 employees worldwide, 75 nationalities, a retention rate above 90% and almost € 5.3 billion in combined revenue in 2023, we are looking for someone like you to join our team as we continue to shape a safer, more efficient, and connected world! I. PURPOSE OF THE JOB Are you ready to be part of an exciting and dynamic industry? We are experiencing unprecedented demand for technical support in the precast segment, we need talented individuals like you to join our team and help us capture the opportunities and assist us in converting precasters from traditional reinforcement to Dramix® steel fiber solutions. At the heart of our operations is a dedicated Technical Manager (D. Di Giacinto), who handles comprehensive support within the precast segment while also providing high-level design and analysis support across other sectors. However, the rapidly increasing demand presents us with an opportunity to expand our team and further extend our reach and capabilities. Currently, our commercial salesforce is already technically driven ( Sales Managers and Business Development Managers). Yet, to further elevate our customer satisfaction and market penetration, we recognize the value of integrating specialized sales engineers into our design team. By doing so, we can offer tailored technical support during the crucial sales process and accelerate the conversion to our steel fiber solutions. To achieve these ambitious goals and continue our upward trajectory, we are looking for passionate Structural Engineers dedicated to daily precast design activities. By joining us, you'll be at the forefront of driving technical excellence and ensuring that every request is met with prompt and expert support. Your contributions will not only streamline our go-to-market strategy but also strengthen our market position through enhanced quality and responsiveness in our technical services. Seize this opportunity to be part of a company that values innovation, quality, and customer satisfaction. Together, we can build a stronger future in the precast segment! Apply now and become a key player in our success story. II. Roles and Responsibilities Technical support to sales: Analyze and design Dramix® Steel Fiber Reinforced Concrete structural elements, ensuring compliance with relevant codes and standards; Develop and validate Finite Elements Models for structural analysis, utilizing commercial and advanced FEA software; Perform manual calculations for structural components to verify and complement software-based analysis; Collaborate with the team to explore technical feasibility of structural solutions; Prepare detailed engineering drawings and reports; Utilize Excel to create, modify, and manage spreadsheets for engineering calculations, data analysis, and reporting; Provide technical guidance and support in the use of Steel Fiber Reinforced Concrete in precast structural and non-structural applications (e.g. façades); Review and interpret architectural and engineering drawings to explore technical feasibility of SFRC solutions; Participate in design reviews and project meetings. Standardization & SW: Stay updated with the latest standards and software advancements. Iii. Essential Skills & Competencies The ideal candidate should have a strong foundation in finite element analysis, manual calculation methods, and be proficient in the use of CAD software. Bachelor’s or Master’s degree in Civil Engineering, Structural Engineering, or a related field; Min. 2 years of experience in structural design, particularly in reinforced concrete structures. Precast design experience is a plus; Proficiency in Finite Element (FE) modeling and analysis; Knowledge of EN, ASTM, ACI standards; Excellent knowledge of testing methods for precast elements, such as pipes, box culverts, water tanks, etc. Strong understanding of structural design principles and hand calculations methods for structural elements; Advanced skills in CAD software; Excellent Excel skills for engineering calculations; Strong problem solving skills and attention to details; Excellent communication and teamwork abilities; Ability to manage multiple projects and meet deadlines; Experience with Steel Fiber Reinforced Concrete is a plus. Be bold and take the leap! We're looking for individuals who are not afraid to take risks and explore new ideas. If you are passionate about personal growth and bringing your authentic self to work, we want you on our team! At Bekaert, we celebrate diversity and are committed to creating an inclusive work environment. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. To learn more about us and our exciting career opportunities, visit Bekaert Careers

Description Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities Team Manager Will Manage day to day operations with a team of AI Data Validators and AI Validator Leads Manage work prioritization and delivery based on business needs Ensure high quality delivery under deadlines Plan capacity and commit to volume by managing resources, queue, shift management, cross training, and leave management Track weekly/monthly metrics and process reviews with internal and external stakeholders across time zones. Maximize productivity and process efficiency through process standardization, strong process documentation, supervision, analysis and performance feedback on a periodic basis Initiate and lead process improvement projects, presents solution proposals, and implement them to other applicable/in-scope operational areas Own team’s hiring, performance and development through performance metrics, training, feedback and coaching on an ongoing basis. Basic Qualifications A Bachelors Degree with relevant experience of 4+ years with 2+ years of people management. Excellent communication (written & oral), strong organizational skills and detail oriented Strong analytical, problem-solving, and critical-thinking skills Comfortable working in a fast paced, highly collaborative, dynamic work environment Willingness to support several projects at one time, and to accept re-prioritization as necessary Preferred Qualifications Business Analytics experience Six Sigma/Green Belt Certification MBA 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 - Karnataka - A66 Job ID: A3024710

Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done. There’s another option. Freshworks. With a fresh vision for how the world works. At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world. Fresh vision. Real impact. Come build it with us. Job Description Team Overview The Winning AI Home team, part of Freshworks' SaaS@scale mothership BU - Cloud Engineering, is seeking a highly motivated and skilled AI Applications Engineer. This role is pivotal in driving the development and deployment of cutting-edge AI solutions within our product ecosystem. Role Description We are looking for an AI Applications Engineer (IC3) with a strong full-stack background who deeply understands Large Language Models (LLMs) and the nuances between Generative AI (GenAI), Agentic AI, and AI Agents. The ideal candidate will have hands-on experience building AI applications using Agentic frameworks and possess a solid understanding of both front-end and back-end development. Responsibilities Design, develop, and deploy AI applications leveraging LLMs and Agentic frameworks. Implement and optimize Retrieval-Augmented Generation (RAG) systems to enhance LLM accuracy and contextual understanding. Develop and deploy AI Agents for multi-step reasoning and automation of complex tasks. Fine-tune pre-trained models for specific use cases and improve application performance. Collaborate with cross-functional teams to integrate AI solutions into existing products. Conduct performance benchmarking and evaluation of AI applications using metrics like groundedness, correctness, and hallucination. Ensure Responsible AI principles are integrated throughout the development lifecycle. Maintain and troubleshoot AI infrastructure on cloud platforms. Qualifications Experience : 3-7 Years AI Expertise - Strong understanding of LLMs, GenAI, Agentic AI, and AI Agents.- Experience with Agentic frameworks such as LangChain, LangGraph, and CrewAI.- Proficiency in implementing and optimizing Retrieval-Augmented Generation (RAG) systems.- Experience in developing and deploying AI Agents.- Demonstrated ability in fine-tuning pre-trained models. Programming & Development - Proficiency in Python and TypeScript/Node.js.- Good fundamentals in databases for persistent and cache requirements.- Experience with performance benchmarking and debugging. Cloud & Monitoring - Strong understanding of cloud platforms (AWS, Azure, or GCP) for deploying and managing AI infrastructure.- Experience with monitoring tools such as Prometheus and Grafana. Evaluation & Best Practices - Knowledge of Vibe coding intricacies.- Ability to evaluate AI Applications using metrics like groundedness, correctness, hallucinations, and Responsible AI.- Familiarity with Reinforcement Learning concepts and applications. Additional Information At Freshworks, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business.

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

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

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

Overview: The role is responsible for supporting implementation of BU-wide Culture, Team Effectiveness, and Recognition programs, with a focused lens on improving frontline experience and enabling values-driven behaviors on the ground. It plays a key role in delivering consistent experience, coordinating ERG and Super5 efforts, and supporting cultural reinforcement through local interventions. Responsibilities: Execution of OHS and OHS planning across all employee segments by coordinating with LHRs for deployment and tracking. Drive frontline experience by gathering field insights; support documentation and follow-ups to improve employee experience. Coordinate R&R program deployment (SMILES, Townhall awards), ensuring nominations and local logistics are in place. Activate The PepsiCo Way (TPW) interventions across locations through toolkits and cascade materials tailored for different audiences. Liaise with Capability team to integrate culture themes and frontline development into onboarding and learning practices. Coordination and rollout of Super5 team effectiveness initiatives at plants and sales units. Facilitate communication and local execution of ERG initiatives, ensuring inclusive participation across employee levels. Track usage and effectiveness of interventions using provided templates; flag any operational challenges and feedback. Capturing and communicating success stories from field execution. Partner with HRBPs and LHRs on usage of culture-related toolkits and templates. Coordinate with vendors for surveys, recognition events, and program deployment logistics as needed. Liaise directly with global TM teams for India Foods talent processes, in the absence of sector-level TM support. Qualifications: 3-5 years of experience in HR and employee engagement roles with exposure to field teams Experience working in India and in multicultural/global environments Fluent in English Experience coordinating with LHRs and managing program logistics Strong Project Management capability (planning & reporting) Strong discipline and governance, driving consistent process adherence and operational excellence across initiatives. Results orientation, with a relentless focus on delivering high-impact outcomes. Project coordination ability with strong follow-through Empathy and ability to engage frontline workforce with humility and professionalism Prioritizes with clarity, consistently focusing on what drives long-term business and culture impact.

Job Summary: The Specialist - Software Development (Artificial Intelligence) leads the design, development, and implementation of AI and machine learning solutions that address complex business challenges. This role requires expertise in AI algorithms, model development, and software engineering best practices. The individual will work closely with cross-functional teams to deliver intelligent systems that enhance business operations and decision-making. Key Responsibilities: • AI Solution Design & Development: o Lead the development of AI-driven applications and platforms using machine learning, deep learning, and NLP techniques. o Design, train, and optimize machine learning models using frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn. o Implement advanced algorithms for supervised and unsupervised learning, reinforcement learning, and computer vision. • Software Development & Integration: o Develop scalable AI models and integrate them into software applications using languages such as Python, R, or Java. o Build APIs and microservices to enable the deployment of AI models in cloud environments or on-premise systems. o Ensure that AI models are integrated with back-end systems, databases, and other business applications. • Data Management & Preprocessing: o Collaborate with data scientists and data engineers to gather, preprocess, and analyze large datasets. o Develop data pipelines to ensure the continuous availability of clean, structured data for model training and evaluation. o Implement feature engineering techniques to enhance the accuracy and performance of machine learning models. • AI Model Evaluation & Optimization: o Regularly evaluate AI models using performance metrics (e.g., precision, recall, F1 score) and fine-tune them to improve accuracy. o Perform hyperparameter tuning and cross-validation to ensure robust model performance. o Implement methods for model explainability and transparency (e.g., LIME, SHAP) to ensure trustworthiness in AI decisions. • AI Strategy & Leadership: o Collaborate with business stakeholders to identify opportunities for AI adoption and develop project roadmaps. o Provide technical leadership and mentorship to junior AI developers and data scientists, ensuring adherence to best practices in AI development. o Stay current with AI trends and research, introducing innovative techniques and tools to the team. • Security & Ethical Considerations: o Ensure AI models comply with ethical guidelines, including fairness, accountability, and transparency. o Implement security measures to protect sensitive data and AI models from vulnerabilities and attacks. o Monitor the performance of AI systems in production, ensuring they operate within ethical and legal boundaries. • Collaboration & Cross-Functional Support: o Collaborate with DevOps teams to ensure AI models are deployed efficiently in production environments. o Work closely with product managers, business analysts, and stakeholders to understand requirements and align AI solutions with business needs. o Participate in Agile ceremonies, including sprint planning and retrospectives, to ensure timely delivery of AI projects. • Continuous Improvement & Research: o Conduct research and stay updated with the latest developments in AI and machine learning technologies. o Evaluate new tools, libraries, and methodologies to improve the efficiency and accuracy of AI model development. o Drive continuous improvement initiatives to enhance the scalability and robustness of AI systems. Required Skills & Qualifications: • Bachelor’s degree in computer science, Data Science, Artificial Intelligence, or related field. • 5+ years of experience in software development with a strong focus on AI and machine learning. • Expertise in AI frameworks and libraries (e.g., TensorFlow, PyTorch, Keras, Scikit-learn). • Proficiency in programming languages such as Python, R, or Java, and familiarity with AI-related tools (e.g., Jupyter Notebooks, MLflow). • Strong knowledge of data science and machine learning algorithms, including regression, classification, clustering, and deep learning models. • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying AI models and managing data pipelines. • Strong understanding of data structures, databases, and large-scale data processing technologies (e.g., Hadoop, Spark). • Familiarity with Agile development methodologies and version control systems (Git). Preferred Qualifications: • Master’s or PhD in Artificial Intelligence, Machine Learning, or related field. • Experience with natural language processing (NLP) techniques (e.g., BERT, GPT, LSTM, Transformer models). • Knowledge of computer vision technologies (e.g., CNNs, OpenCV). • Familiarity with edge computing and deploying AI models on IoT devices. • Certification in AI/ML or cloud platforms (e.g., AWS Certified Machine Learning, Google Professional Data Engineer).

Company Description Work at the heart of sustainable change Ramboll is a global architecture, engineering, and consultancy company. We believe that the purpose of sustainable change is to create a thriving world for both nature and people. So, that’s where we start – and how we work. At Ramboll, our core strength is our people, and our history is rooted in a clear vision of how a responsible company should act. Being open and curious is a cornerstone of our culture. We embrace an inclusive mindset that looks for fresh, diverse, and innovative perspectives. We respect, embrace, and invite diversity in all forms to actively cultivate an environment where everyone can flourish and realise their full potential. Ramboll are looking for a Senior Acoustic Consultant Engineer to join our design team in India office (Chennai, Mumbai or Noida). The successful candidate will provide Architectural Acoustic engineering design services on projects to Ramboll and its Clients', including coordination with RME/RIN team. The successful candidate will work closely and in collaboration with the Ramboll Middle East team located in Dubai, working on a wide variety of project work with signature Architects across the Middle East and internationally. We have a supporting and collaborative culture and enjoy what we do! We are looking for like-minded and personable people to strengthen our team and there is rapid progression on offer for talented candidates. We have a current focus on digital and parametric design and believe that the future of our industry lies in working smarter not harder Job Description Conduct comprehensive acoustic assessments and analyses across various projects, including architectural acoustics, environmental noise, and industrial noise control. Design and implement tailored acoustic solutions that align with client requirements and industry standards. Perform on-site noise measurements, inspections, and evaluations to identify potential noise sources and assess compliance, as applicable. Provide technical oversight by managing and coordinating project activities, ensuring timely completion and adherence to quality standards. Collaborate closely with project teams, architects, engineers, and clients to develop effective acoustic designs and solutions. Prepare detailed technical reports and documentation, summarizing findings, recommendations, and design specifications. Utilize advanced acoustic modelling software and analysis tools for accurate assessments and predictions. Engage with clients understanding their specific requirements and ensuring satisfaction. Stay updated with industry trends, regulations, and advancements in acoustic engineering to maintain compliance and innovation Specific areas of anticipated technical skills include. Onsite testing knowledge and experience. Proven ability to carry out both manual and computer aided calculations, problem solving, technical and financial analyses, etc. Analyse acoustic properties of materials (absorption, reflection, transmission). Conduct sound transmission and impact noise analysis using INSUL. Design architectural acoustics solutions from concept to completion, ensuring compliance with industry standards. Optimize acoustic parameters (RT, STI, SPL, SNR) using ODEON, EASE, EASE Address, and EASE EVAC. Assess and design sound reinforcement systems for optimal coverage and clarity. Perform noise impact assessments for mechanical, electrical, and industrial environments. Evaluate noise levels from DG rooms, chillers, and MEP systems, recommending acoustic enclosures and solutions. Ensure compliance with ISO, ASTM, and UAE environmental noise regulations. Collaborate with architects, engineers, and clients to integrate acoustics seamlessly into building designs. Conduct sustainability assessments, guiding projects toward green building certifications and energy efficiency. Develop and implement noise mitigation strategies for stadiums, institutions, offices, healthcare, data centres, and commercial spaces. Manage documentation and compliance for green building rating systems. Provide training on sustainable building practices and acoustic solutions. Prepare comprehensive reports with findings and recommendations. Qualifications Bachelor's degree in Acoustic Engineering, Mechanical Engineering, or a related field. Minimum of 8 years’ experience, 3 years’ experience in Middle East project. Proficiency in acoustic modelling software and analysis tools. Strong knowledge of acoustic principles, noise control techniques, and relevant UAE, KSA and international industry standards. Excellent problem-solving, analytical, and decision-making skills. Strong communication and interpersonal skills to collaborate with multidisciplinary teams and clients effectively. Ability to work in both field environments (conducting measurements and assessments) and office settings (performing data analysis and design). High attention to detail, with the ability to manage multiple projects simultaneously while maintaining quality and efficiency. Experienced at: Presenting to clients Attending demanding client meetings Preparing project proposals for agreement Arranging project resources Planning and running projects Additional Information COMPETENCIES/ PERSONAL ATTRIBUTES People Leadership Collaboration & Teamwork Commercial Acumen Technical Capability & Delivery Adaptability & Learning Persuading and Influencing Communicating and Presenting Delivering Results Strong organizational and time-management abilities to manage multiple tender submissions simultaneously. Ability to handle high-pressure situations and meet deadlines. Excellent teamwork and collaboration skills, with the ability to work effectively with multidisciplinary teams. Analytical mindset with the ability to assess risks, costs, and opportunities.

Set-up and layout jobs using blueprints, diagrams and fixtures following welding procedures to TIG weld in all positions including the use of rotary turntables for manual welding. Inspects, maintains and logs preventative maintenance on equipment needed for welding and fabricating. Sets up machines according to work instructions to trim, size, form, inspect, and GTAW (TIG weld) material to meet fabrication drawing requirements.  Drawing review and compliance for final dimensions, weld note callouts, base material and filler material selection. Solvent cleaning, trimming, sizing and polishing to prepare weld joints for welding  Tack welding, fabrication of shop aids and fixtures to assist fabrication and welding  Videoscope inspection for root side weld defects. Visual weld inspection using fillet weld gauges, calipers, micrometers, height gauges and final weld fixtures.  Weld inspection for weld size, face and root reinforcement, cracks, inclusions and porosity. Job Type: Full-time Pay: From ₹25,000.00 per month Benefits: Food provided Leave encashment Provident Fund Ability to commute/relocate: Irungattukottai, Irungattukottai - 602117, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Experience: total work: 4 years (Preferred)

Job Description: We are looking for a Senior AI Developer with 4+ years of solid experience in AI, Machine Learning, Deep Learning, and Computer Vision. The ideal candidate should have a strong technical foundation in LLMs, RAG frameworks, and agentic AI systems, along with the ability to lead teams, interact with clients, and represent the company professionally. This is a client-facing role that requires both technical expertise and a presentable, confident personality capable of engaging with clients and guiding internal teams toward successful project execution. No. of Vacancies: 1 Required Skills: Python (advanced level) Machine Learning & Deep Learning Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Agentic AI frameworks (e.g., LangChain) Computer Vision (image recognition, object detection, segmentation) REST API development (Flask / FastAPI / Django) PyTorch, TensorFlow, OpenCV Team handling & mentoring Client communication & presentation skills Strong analytical & problem-solving ability Confident and professional presence Responsibilities: Design, build, and optimize LLMs, RAG-based frameworks, and deep learning models for production use. Develop AI agents using frameworks like LangChain or Auto-GPT. Lead the creation of computer vision models for image recognition, object detection, and video analysis. Build and integrate scalable AI services via REST APIs using Flask, FastAPI, or Django. Mentor and lead a small team of AI/ML engineers; review code, set best practices, and ensure timely delivery. Communicate with clients to gather technical requirements, provide updates, and present solutions clearly and confidently. Take ownership of end-to-end technical delivery, from design to deployment and ongoing optimization. Stay up to date with emerging AI/ML technologies and apply them where relevant. Nices to have Cloud experience: AWS / GCP / Azure. Familiarity with CI/CD pipelines and MLOps practices. Experience with platforms like Hugging Face, Keras, or Scikit-learn. Exposure to edge or mobile AI model deployment. Knowledge of reinforcement learning or other advanced AI areas. Preferred Qualifications: 4+ years of experience in AI/ML, with hands-on expertise in LLMs, RAG, and computer vision. Strong knowledge of Python, with experience in PyTorch, TensorFlow, OpenCV, etc. Proven experience developing and deploying RESTful APIs for AI models. Working knowledge of agentic LLM frameworks like LangChain. Prior experience in leading a team or mentoring junior developers. Strong problem-solving ability, project ownership, and attention to detail. Excellent verbal and written communication skills for client interaction. Presentable and confident personality – capable of representing the team in external discussions and demos. Full time Adajan | Bhatar Exp. 4+ Years

Senior Assistant Vice President EXL/SAVP/1410562 Digital SolutionsNoida Posted On 23 Jul 2025 End Date 06 Sep 2025 Required Experience 16 - 20 Years Basic Section Number Of Positions 4 Band D2 Band Name Senior Assistant Vice President Cost Code D014959 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type New Max CTC 4500000.0000 - 6000000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group EXL Digital Sub Group Digital Solutions Organization Digital Solutions LOB CX(CONNECx) SBU Exelia.AI Country India City Noida Center Noida-Center1 Skills Skill NLP AWS PYTHON ARTIFICIAL INTELLIGENCE Minimum Qualification BTECH Certification No data available Job Description Role: SAVP -Digital CX Technical Lead – Gen AI Experience:10+years in Data Science Location: NCR/Bangalore Work Mode: Hybrid Shift Timing: 1:30 pm – 11:30pm Technical Skills Strong technical background with a solid understanding of conversational AI technologies, machine learning, natural language processing, and software development methodologies. Proven experience in delivering Google CCAI, Dialogflow, Vertex.AI solutions. Strong background in Natural Language Processing (NLP), deep learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG). Experience with deep learning frameworks like PyTorch or TensorFlow. Experience with cloud platforms (AWS, Azure, GCP) for deploying AI models. Strong understanding of neural networks, transformers, and reinforcement learning. Familiarity with software development best practices, version control (e.g., Git), and agile methodologies. Experience with CI/CD pipelines and DevOps practices. Excellent software development skills to drive the development and deployment of cutting-edge AI solutions Leadership Skills Demonstrated leadership and team management skills, with the ability to inspire, guide, and develop a diverse team of professionals. Excellent client-facing skills, including effective communication, relationship-building, and negotiation abilities. Excellent problem-solving skills and the ability to think critically and creatively. Strong communication skills and the ability to work effectively in a team environment. Leadership qualities with a proactive and collaborative approach. BE/BTech/MCA/Ph.D. from tier I/II institute in CS or related field Workflow Workflow Type Digital Solution Center

Responsibilities Anchor ML development track in a client project Data collection, profiling, EDA & data preparation AI Model development, experimentation, tuning & validation Present findings to business users & project management teams Propose ML based solution approaches & estimates for new use cases Contribute to AI based modules in Infosys solutions development Explore new advances in AI continuously and execute PoCs Mentoring – Guide junior team members & evangelize AI in organization Technical skills Programming: Python, R, SQL ML algorithms: Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns – supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role

Job description Out of the box thinker to build innovative AI/ML models : 1. Understand and analyze requirements requiring Machine Learning Models from Product Owners, Customers, and Other Stakeholders 2. Analyze and verify data quality and features 3. Design solutions by choosing the right algorithms, features, and hyperparameters 4. Manage the full lifecycle of ML Models: Data Acquisition, Feature Engineering, Model Development, Training, Verification, Optimization, Deployment, Versioning 5. Augment Enterprise data with publicly available datasets to enrich models features 6. Create strategies for integrating Whiz.AI platform with external enterprise data sources like Databases, Data Warehouses, Analytical Stores, External ML Systems/Algorithms, Hadoop and ERP/CRM systems. Qualifications Technical 5+ years of experience in implementing Machine Learning and Deep Learning models applied to traditional as well as NLP problems Machine Learning-based models: ANN, SVM, Logistic Regression, Gradient Boosting Time Series Anomaly Detections Methods, Hierarchical or Grouped Time Series Forecasting Knowledge of BERT, LSTMs, RNNs, and HMMs applied to Text classification and Text Generation problems Understanding of ML Data processing frameworks like TensorFlow or PyTorch, XGBoost, SciPy, Scikit-Learn, Apache Spark SQL and handling Big Data, databases Excellent knowledge of Python Programming, NumPy, Pandas, and processing JSON, XML, CSV files Non-Technical Good communication analytical skills Self-driven with a strong sense of ownership urgency Preferred Qualifications Preference will be given to the hands-on Deep Learning and NLP application experience Knowledge of Analytical/OLAP/Columnar, Hadoop Ecosystem and NoSQL databases Deep Learning, GANs, Reinforcement Learning R programming, Matlab Knowledge of Lifesciences or Pharmaceutical Industry dataset Interested candidate can share resume at shwetachouhan@valere.io Job Type: Full-time Pay: From ₹1,500,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Education: Bachelor's (Preferred) Experience: software development: 1 year (Preferred) HTML5: 1 year (Preferred) total work: 5 years (Preferred) Work Location: In person

Key Responsibilities Advanced Model Development: Design and implement cutting-edge deep learning models using frameworks like PyTorch and TensorFlow to address specific business challenges. AI Agent and Chatbot Development: Create conversational AI agents capable of delivering seamless, human-like interactions, from foundational models to fine-tuning chatbots tailored to client needs. Retrieval-Augmented Generation (RAG): Develop and optimize RAG models, enhancing AI’s ability to retrieve and synthesize relevant information for accurate responses. Framework Expertise: Leverage LLAMAIndex and LangChain frameworks for building agent-driven applications that interact with large language models (LLMs). Data Infrastructure: Expertise in managing and utilizing data lakes, data warehouses (including Snowflake), and Databricks for large-scale data storage and processing. Machine Learning Operations (MLOps): Manage the full lifecycle of machine learning projects, from data preprocessing and feature engineering through model training, evaluation, and deployment, with a solid understanding of MLOps practices. Data Analysis & Insights: Conduct advanced data analysis to uncover actionable insights and support data-driven strategies across the organization. Cross-Functional Collaboration: Partner with cross-departmental stakeholders to align AI initiatives with business needs, developing scalable AI-driven solutions. Mentorship & Leadership: Guide junior data scientists and engineers, fostering innovation, skill growth, and continuous learning within the team. Research & Innovation: Stay at the forefront of AI and deep learning advancements, experimenting with new techniques to improve model performance and enhance business value. Reporting & Visualization: Develop and present reports, dashboards, and visualizations to effectively communicate findings to both technical and non-technical audiences. Cloud-Based AI Deployment: Utilize AWS Bedrock, including tools like Mistral and Anthropic Claude, to deploy and manage AI models at scale, ensuring optimal performance and reliability. Web Framework Integration: Build and deploy AI-powered applications using web frameworks such as Django and Flask, enabling seamless API integration and scalable backend services. Technical Skills Deep Learning & Machine Learning: Extensive hands-on experience with PyTorch, TensorFlow, and scikit-learn, along with large-scale data processing. Programming & Data Engineering: Strong programming skills in Python or R, with knowledge of big data technologies such as Hadoop, Spark, and advanced SQL. Data Infrastructure: Proficiency in managing and utilising data lakes, data warehouses, and Databricks for large-scale data processing and storage. MLOps & Data Handling: Familiar with MLOps and experienced in data handling tools like pandas and dask for efficient data manipulation. Cloud Computing: Advanced understanding of cloud platforms, especially AWS, for scalable AI/ML model deployment. AWS Bedrock: Expertise in deploying models on AWS Bedrock, with tools such as Mistral and Anthropic Claude. AI Frameworks: Skilled in LLAMAIndex and LangChain, with practical experience in agent-based applications. Data Visualization: Proficient in visualization tools like Tableau, Power BI for clear data presentation. Analytical & Communication Skills: Strong problem-solving abilities with the capability to convey complex technical concepts to diverse audiences. Team Collaboration & Leadership: Proven success in collaborative team environments, with experience in mentorship and leading innovative data science projects. Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. Experience: Specializing in deep learning, including extensive experience in PyTorch and TensorFlow. Advanced AI Knowledge: Familiarity with reinforcement learning, NLP, and generative models. Benefits: Friendly Work Environment Work-Life Balance Company-Sponsored Medical Insurance 5-Day Work Week with Flexible Timings Frequent Team Outings Yearly Leave Encashment Location: Ahmedabad

1) Should have good knowledge of RCC buildings (high rises) and finishing with minimum 3 years’ experience 2) Should be able to execute works from start to finish. 3) Should have good knowledge of bar bending schedules/Shuttering. Required Candidate profile Experience - 2-3 yrs with BE Civil Degree Should deal with contracts/subcontractors/consultants should have good knowledge of drawing and reading.