2079 Reinforcement Jobs - Page 19

Software Engineer, AI — Code Evaluation & Training (Remote) List of accepted countries and locations Help train large-language models (LLMs) to write production-grade code across a wide range of programming languages: Compare & rank multiple code snippets , explaining which is best and why. Repair & refactor AI-generated code for correctness, efficiency, and style. Inject feedback (ratings, edits, test results) into the RLHF pipeline and keep it running smoothly. End result: the model learns to propose, critique, and improve code the way you do. RLHF in one line Generate code ➜ expert engineers rank, edit, and justify ➜ convert that feedback into reward signals ➜ reinforcement learning tunes the model toward code you’d actually ship. What You’ll Need 3+ years of professional software engineering experience in C++ (Constraint programming experience is a bonus, but not required) Strong code-review instincts —you can spot logic errors, performance traps, and security issues quickly. Extreme attention to detail and excellent written communication skills. Much of this role involves explaining why one approach is better than another. This cannot be overstated. You enjoy reading documentation and language specs and thrive in an asynchronous, low-oversight environment. What You Don’t Need No prior RLHF (Reinforcement Learning with Human Feedback) or AI training experience. No deep machine learning knowledge. If you can review and critique code clearly, we’ll teach you the rest. Tech Stack We are looking for engineers with a strong command of C++ . Logistics Location: Fully remote — work from anywhere Compensation: From $30/hr to $70/hr, depending on location and seniority Hours: Minimum 15 hrs/week, up to 40 hrs/week available Engagement: 1099 contract Straightforward impact, zero fluff. If this sounds like a fit, apply here!

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 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. Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Undergraduate degree or equivalent experience. 5+ years 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

🚨#JRF position at NIT Rourkela and the opportunity to convert it into a PhD program. JRF position extended till 20/07/2025 🎯Title of the Project: Design and Development of Intelligent Physical Layer Security Techniques for Non-Terrestrial Network-based Communications JRF salary: 37000/- (first two years) : 42000/- (third year) Check the latest corrigendum at NIT Rourkela career page: https://lnkd.in/gvwDYGdv See the advertisement: https://lnkd.in/g3HtX3AR 📢 Who Should Apply? -> GATE Qualified ->Candidates with a background in: 👈Passion for telecommunications security, particularly in 5G/6G, wireless networks, software-defined networks (SDNs), non-terrestrial networks (NTN), and satellite communications. 👈Knowledge of Digital Communications, Wireless Networks, and/or related areas. 👈Strong understanding of AI/ML algorithms, including classification, regression, clustering, reinforcement learning (RL), and deep learning (DL). Excellent written and verbal communication skills; strong analytical and technical problem-solving abilities. 👈Proficiency in programming languages such as MATLAB, C++, Python, and scripting languages. 🗓️ How to Apply: To apply, send your updated CV to " bankeyv@nitrkl.ac.in ". Applications will be considered on a rolling basis until positions are filled. #JRF #NITR #NIT #Rourkela #ANRF #DST #GATE

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

Greetings from Metafaabex Industries Pvt Ltd. We have immediate openings for Senior Civil/structural Engineer with a Knowledge in Lab, Gas, Lab Furniture background. Job type: Permanent Experience: 3 Years and Above Requirement: Civil Engineer Responsibilities: Preparation of 3D Model, General Arrangement Civil & Structural, Reinforcement details Structures such as Oil & Gas, Petrol Chemical, Power Plant Turbine buildings and Refinery Buildings in that Main Pipe Racks, Utility pipe rack, Access Platforms for scraper Launcher &Receiver, Flare header trestles, Air cooler structure area, Lab Industries, Schools, Hospitals Gas compressor foundation, Gas compressor shelter, Utility equipment foundation, Utility shelter, Fire water storage Tank, Equipment structural’ s foundation, Equipment Foundation, pump foundation, Manholes, Value box, Catch basin, Pipe sleeper, Pipe support foundation, Duct bank, Electrical trench & instrument trench, Coal Handling Conveyor Structures, & Platform Structures. Detail material take-off for all structural elements. Fabrication Detail & Erection drawings for Pre-Engineered buildings such as Warehouses, School buildings and other commercial buildings. Job Types: Full-time, Regular / Permanent Schedule: Day shift Ability to commute/relocate: Delhi, NCR Experience: total work: 3 year (Preferred) Job Type: Full-time Pay: ₹12,597.51 - ₹51,808.75 per month Benefits: Cell phone reimbursement Flexible schedule Food provided Paid sick time Work Location: In person Expected Start Date: 21/07/2025

AI specialists use technology for innovative solutions to complex business issues. Event management company is seeking a talented AI specialist to join the team. This role involves developing and implementing AI models and algorithms to address challenges and improve business operations. Majorly for Instagram reels Responsibilities Responsibilities include designing, developing, and implementing AI models, collaborating with teams, optimizing models, deploying solutions, monitoring performance, and providing technical expertise. The role also involves analyzing data, developing algorithms and neural networks, and training AI models. A comprehensive list of responsibilities is available in the referenced web document. Required skills and qualifications A Bachelor's degree in a relevant field and at least 2 years of experience in AI development are required. A strong understanding of AI, machine learning algorithms, neural networks, and deep learning techniques is essential, along with proficiency in programming languages like Python, R, or Java, and knowledge of AI frameworks (TensorFlow, PyTorch, Keras) and cloud platforms (AWS, Azure, Google Cloud). A comprehensive list of required skills and qualifications is available in the referenced web document. Preferred skills and qualificationsPreferred qualifications include a Master's or Ph.D. in AI, Machine Learning, or Data Science, relevant certifications, and experience with NLP, computer vision, or reinforcement learning Job Type: Full-time Work Location: In person

Post Name : Special Educator Qualification : Diploma in Special Education/Degree in special education Experience : At least 5-7 years as special educator Requirements : 1. Excellent Communication Skills 2. Computer Skills 3. Must have proficiency in his/her work. Job Description : Assisting the school staff to identify students with developmental disabilities, ranging from mild to severe needs. These could include sensory physical. Develops and delivers specialized instruction to students with disabilities. Provides research-based specialized instruction to address the instructional goals and objectives contained within each student's IEP. Assesses student progress and determines the need for additional reinforcement or adjustments to instructional techniques. Employs various teaching techniques, methods and principles of learning to enable students to meet their IEP goals. Develops and implements annual Individualized Educational Program (IEP) plans for students to include: present levels of educational performance, special education needs, instructional goals and objectives, and the special education and related services required to meet those goals. Adheres to procedural requirements, including due process timelines. Coordinates the delivery of special education services in each student's IEP. Serves as primary contact for the parent, in terms of communicating the progress/needs of the student. Schedules team meetings, from time to time to address the needs of the student. Job Type: Full-time Pay: ₹20,000.00 - ₹28,000.00 per month Schedule: Day shift Work Location: In person

Noida, Uttar Pradesh, India Category: Engineering Hire Type: Employee Job ID 10849 Date posted 07/16/2025 We Are: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation. You Are: You are passionate about solving complex problems at the intersection of software engineering and semiconductor technology. Your curiosity drives you to explore new solutions and approaches, especially in high-impact areas such as memory characterization and automation. With a strong foundation in computer science, electronics, or a related discipline, you thrive in environments where collaboration, innovation, and technical excellence are valued. You are detail-oriented, analytical, and always eager to learn and adapt as technology evolves. You take pride in building robust, maintainable code and are committed to delivering quality solutions that make a tangible difference. As a team player, you communicate clearly, seek feedback, and contribute to a culture of openness and continuous improvement. Whether working independently or in cross-functional teams, you bring a sense of accountability and ownership to your work. You are excited by the prospect of impacting the next generation of semiconductor products and motivated by the opportunity to drive productivity and efficiency through automation. If you are ready to challenge yourself, innovate, and help shape the future of memory IP development, Synopsys is the place for you. What You’ll Be Doing: Designing and developing robust software tools for automating memory characterization workflows, including simulation setup, data extraction, and report generation. Collaborating closely with memory design, CAD, and validation teams to understand requirements and implement solutions that enhance accuracy, scalability, and performance of characterization flows. Integrating EDA tools such as SPICE simulators, Liberty format analyzers, and waveform viewers into advanced automation flows. Optimizing simulation execution on large compute clusters and efficiently managing the vast data sets generated during memory characterization. Building modular, maintainable, and high-performance codebases using C++, Python, Shell/TCL scripts, and industry-standard software engineering tools. Contributing to the development of test infrastructure, debugging tools, and validation methodologies to ensure the correctness and consistency of characterization results. Participating in code reviews, providing innovative ideas, and driving improvements in productivity and tool efficiency across the team. The Impact You Will Have: Accelerate the delivery of high-performance memory compilers for advanced technology nodes (e.g.,5nm,3nm, and beyond), enabling cutting-edge products. Streamline and automate engineering flows, reducing manual effort and enhancing productivity for multidisciplinary teams. Enhance the quality and reliability of characterization data, directly contributing to Process Design Kits (PDKs), EDA tools, and customer deliverables. Drive innovations that improve cost-efficiency, scalability, and competitiveness of Synopsys’ global IP portfolio. Contribute to the continuous improvement of internal infrastructure, processes, and best practices, fostering a culture of technical excellence. Empower internal and external customers through robust, user-friendly tools that enable faster, more reliable delivery of semiconductor solutions. What You’ll Need: B.Tech/MTech in Computer Science, Electronics, or a related field. At least 2 years of experience in software development or EDA tool development, preferably within the semiconductor industry. Proficiency in C/C++, TCL, Python, SQL, and scripting languages such as Shell. Experience with debugging tools such as GDB, and memory debugging tools like Valgrind or Purify. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Hands-on experience with Python ML libraries such as scikit-learn, TensorFlow, or PyTorch. Who You Are: Detail-oriented with excellent analytical and problem-solving abilities. Possess strong verbal and written communication skills, able to articulate complex technical concepts clearly. A collaborative team player who thrives in cross-functional and multicultural environments. Demonstrates accountability and ownership in delivering high-quality work. An innovative thinker passionate about technology, automation, and continuous learning. The Team You’ll Be A Part Of: You’ll be joining a dynamic and forward-thinking team dedicated to developing and maintaining advanced memory characterization tools for next-generation semiconductor technologies. The team is known for its strong collaboration across domains such as software, CAD, and design, and for fostering a culture of inclusivity and openness. Committed to continuous improvement, the team values innovation and feedback while delivering high-quality, impactful solutions that empower both internal teams and external customers. Together, you will be driving the future of memory IP development by solving complex challenges and pushing the boundaries of performance, scalability, and automation. Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Engineering at Innovaccer With every line of code, we accelerate our customers' success, turning complex challenges into innovative solutions. Collaboratively, we transform each data point into valuable insights. Join us and be part of a team that’s turning the vision of better healthcare into reality—one line of code at a time. Together, we’re shaping the future and making a meaningful impact on the world. About the Role Technology that once promised to simplify patient care has, in many cases, created more complexity. At Innovaccer, we tackle this challenge by leveraging the vast amount of healthcare data available and replacing long-standing issues with intelligent, data-driven solutions. Data is the foundation of our innovation. We are looking for a Senior AI Engineer who understands healthcare data and can build algorithms that personalize treatments based on a patient’s clinical and behavioral history. This role will help define and build the next generation of predictive analytics tools in healthcare. A Day in the Life Design and build scalable AI platform architecture to support ML development, agentic frameworks, and robust self-serve AI pipelines. Develop agentic frameworks and a catalog of AI agents tailored for healthcare use cases. Design and deploy high-performance, low-latency AI applications. Build and optimize ML/DL models, including generative models like Transformers and GANs. Construct and manage data ingestion and transformation pipelines for scalable AI solutions. Conduct experiments, statistical analysis, and derive insights to guide development. Collaborate with data scientists, engineers, product managers, and business stakeholders to translate AI innovations into real-world applications. Partner with business leaders and clients to understand pain points and co-create scalable AI-driven solutions. Experience with Docker, Kubernetes, AWS/Azure, Snowflake, and healthcare data systems. Preferred Skills Proficient in Python for building scalable, high-performance AI applications Experience with reinforcement learning and multi-agent systems LLM optimization and deployment at scale Familiarity with healthcare data and real-world AI use cases Requirements What You Need Master’s in Computer Science, Engineering, or a related field. 5+ years of software engineering experience with strong API development skills. 3+ years of experience in data science, including at least 1+ year building generative AI pipelines, agents, and RAG systems. Strong Python programming skills, particularly in enterprise application development and optimization. Experience with: LLMs, prompt engineering, and fine-tuning SLMs Frameworks like LangChain, CrewAI, or Autogen (experience with at least one is required) Vector databases (e.g., FAISS, ChromaDB) Embedding models and Retrieval-Augmented Generation (RAG) design Familiarity with at least one ML platform (Databricks, Azure ML, SageMaker) Benefits Here’s What We Offer Generous Leave Policy: Up to 40 days of leave annually Parental Leave: One of the industry’s best parental leave policies Sabbatical Leave: Take time off for upskilling, research, or personal pursuits Health Insurance: Comprehensive coverage for you and your family Pet-Friendly Office*: Bring your furry friends to our Noida office Creche Facility for Children*: On-site care at our India offices Pet-friendly and creche facilities are available at select locations only (e.g., Noida for pets)

At Trackier, we're revolutionizing the way businesses measure and optimize their marketing performance. As a leading Marketing Analytics & Attribution platform, we empower advertisers, agencies, and ad networks with powerful, real-time insights to drive growth and maximize ROI. In today's complex digital landscape, understanding every touchpoint of the customer journey is paramount. That's where Trackier comes in. Our robust platform provides comprehensive tracking, detailed analytics, and precise attribution models, ensuring you have a clear picture of what's working and why. From performance marketing campaigns to influencer collaborations and beyond, we give you the tools to make data-driven decisions that propel your business forward. We're passionate about transparency, efficiency, and delivering measurable results. Our commitment to innovation means we're constantly evolving our platform to meet the dynamic needs of the industry, helping our clients achieve their growth ambitions with confidence. Position Summary: We are seeking a driven and analytically-minded AI/ML Engineer with 2-3 years of experience to join our growing team. In this role, you will play a crucial part in the end-to-end lifecycle of our AI solutions, from understanding and preparing complex datasets to developing, deploying, and optimizing robust machine learning models. You will leverage your strong data analysis skills to identify patterns, generate insights, and translate them into effective AI strategies that drive business value. You will be working with LLM integrations where necessary to generate insights from data and enhancing chatbots using RAG and similar tech. Key Responsibilities: Data Understanding & Preparation: Collaborate with data stakeholders to understand business problems and data sources. Perform data loading, cleaning, and preparation, including handling missing values, data type conversions, and ensuring data integrity for large datasets. Feature Engineering: Identify, extract, and transform relevant features from raw data to optimize model performance. Model Development: Design, develop, train, and evaluate machine learning models (including deep learning, natural language processing,etc., as relevant to our domain) for various applications. System Integration: Integrate AI models into existing production systems and applications, ensuring scalability and reliability.Performance Optimization: Continuously monitor, analyze, and improve the performance, accuracy, and efficiency of AI models in production. Insight Generation & Communication: Translate complex analytical findings and model outputs into clear, concise, and actionable business insights and recommendations for end users. Research & Innovation: Stay abreast of the latest advancements in AI/ML research and actively explore new technologies and methodologies to enhance our capabilities. Deployment & MLOps: Contribute to the development and implementation of MLOps practices, including model versioning, CI/CD for ML, and model monitoring. Collaboration: Work closely with cross-functional teams, including product managers, software engineers to define requirements and deliver high-quality AI solutions. Documentation: Create clear and comprehensive documentation for models, code, and processes. Requirements Experience: 2-3 years of professional experience as an AI Engineer, Machine Learning Engineer, or a similar role focused on building and deploying ML solutions. Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, or a related quantitative field. Programming: Strong proficiency in Python and experience with relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Keras). Data Manipulation & Analysis: Demonstrated strong skills in data loading, cleaning, manipulation, and preparation using Pandas and NumPy. EDA & Visualization: Proven ability to conduct exploratory data analysis and create effective visualizations using libraries to communicate insights. ML Fundamentals: Solid understanding of machine learning principles, algorithms (e.g., supervised, unsupervised, reinforcement learning), and statistical modeling. Software Engineering: Strong software engineering fundamentals, including experience with version control (Git), testing, and code review practices. Problem Solving: Excellent analytical and problem-solving skills with a keen attention to detail and the ability to derive actionable insights from data. Communication: Strong written and verbal communication skills, with the ability to explain complex technical concepts and present data-driven recommendations to both technical and non-technical stakeholders. Preferred Qualifications : Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services. Familiarity with containerization technologies (Docker, Kubernetes). Experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, Sagemaker). Knowledge of distributed computing frameworks (e.g., Spark). Contribution to open-source projects or relevant publications. Experience with agile development methodologies. Benefits Medical Insurance. 5 days working culture. Best in industry salary structure. Sponsored trips.

Join our Team As the technology firm that created the mobile world and a rich history of 145 years of building ground-breaking solutions and innovative technologies supported by 60,000+ patents, Ericsson has made it our business to make a mark. When joining our team at Ericsson you are empowered to learn, lead and perform at your best, shaping the future of technology. This is a place where you are welcomed as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team. Ericsson Enterprise Wireless Solutions (BEWS) is the group responsible for leading Ericsson’s Enterprise Networking and Security business. Our growing product portfolio spans across wide area networks, local area networks and enterprise security. We are the #1 global market leader in Wireless-WAN based enterprise connectivity solutions and are growing fast in enterprise Private 5G networks and Secure Access Services Edge (SASE) solutions. You will Develop scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics. Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies. Assess the effectiveness of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use Generative AI and predictive modeling to enhance customer experiences, revenue generation and other business outcomes. You must have Solid understanding in Statistics, e.g., hypothesis formulation, hypothesis testing, descriptive analysis and data exploration. Ability to perform EDA and visualize the data. Aptitude and skills in Machine Learning, e.g., Natural Language Processing, Bayesian model, Deep Learning, and Large Language Models. Strong programming skills in Python, SQL. Strong understanding of DSA. Strong ambition to learn and implement current state of the art machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch and Spark. Familiarity with Linux/OS X command line, version control software (git), and general software development. Familiarity with APIs Experience in programming or scripting to enable ETL development. Familiarity with relational databases and Cloud (AWS). Understanding of Reinforcement Learning and Causal Inference will be preferred. Qualifications B.Tech or B.E. or M.Tech or MS in Computer Science / Masters in Mathematics / Statistics from a premium institute Minimum 4 – 6 years of experience in relevant role Why Ericsson Enterprise Wireless Solutions? At Ericsson Enterprise Wireless Solutions, we are one team - all in on inclusion. Celebrating the uniqueness of our individual team members across the globe helps us build diverse teams where we all can thrive. Our connected, community-focused culture enables each one of us to perform at our best and fully be ourselves. Please note: Ericsson Enterprise Wireless Solutions does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Ericsson Enterprise Wireless Solutions employees. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we nurture it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.mana@ericsson.com DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: India (IN) || Bangalore Job details: Data Scientist (Techn)

Computer Science & Engineering ( AIML) - Assistant Professors At Brainware University, we are committed to nurturing innovation, knowledge, and academic excellence. Located in the heart of Kolkata, our institution is known for its world-class faculty and cutting-edge research initiatives. Join us in our mission to empower the leaders of tomorrow. Position: Assistant Professor of Computer Science & Engineering (AIML) We are excited to announce open faculty positions in our prestigious Computer Science and Engineering (CSE) department! We are seeking passionate and dedicated individuals to join us with specializations in the following areas of Artificial Intelligence (AI): Artificial Intelligence (AI) Machine Learning Operating System Data Structure DBMS C C++ Python Computer Networking Internet of Things Data Mining Deep Learning General AI Machine Intelligence Object Oriented Programming Java Neural Networks Natural Language Generation (NLG) Natural Language Processing (NLP) Natural Language Understanding (NLU) Pattern Recognition Reinforcement Learning Strong AI Weak AI Location: Barasat, Kolkata, India Responsibilities:- Conduct cutting-edge research in your area of expertise. Publish in top-tier journals and conferences. Teach undergraduate and graduate courses. Mentor and guide students in research and career development. Collaborate with industry partners on innovative projects. Qualifications:- Ph.D. in Computer Science, Engineering, or a closely related field. A Master's degree in Computer Science & Engineering or a related field is mandatory with good academic scores. Qualifying NET/SET/SLET will be mandatory. Proven track record of research and publications in relevant AI domains. Excellent teaching and communication skills. Strong commitment to diversity and inclusion in academia. Ability to secure research funding and lead collaborative projects. Why join us? Be part of a dynamic and forward-thinking academic community. Access to state-of-the-art research facilities and resources. Opportunities for interdisciplinary collaborations. Competitive salary and benefits package. A supportive environment for professional growth and development. If you are a visionary scholar with a passion for AI and a commitment to academic excellence, we invite you to apply and contribute to shaping the future of technology and society. How to Apply:- To apply, please submit your CV and a cover letter to arpitad.hr@brainwareuniversity.ac.in / hrd@brainwareuniversity.ac.in or call in 8777340513/ 033 69010542.

Job Designation: Data Scientist (LLMs & GenAI) Job Overview: We are looking for an experienced Python developer with a strong background in Large Language Models (LLMs), Generative AI (GenAI), excellent knowledge prompt engineering, tools for RAG development. The ideal candidate will have hands-on experience in prompt engineering, working with advanced AI frameworks such as LlamaIndex, LangChain, LangGraph, and AutoGen. This role involves building scalable applications and solutions that leverage the latest advancements in AI to solve complex business problems like intelligent chatbots, assistants and digital twins. Key Responsibilities: Develop and implement AI-driven solutions using Python and state-of-the-art LLMs like Azure OpenAI, Lama, Gemini. Design and optimize prompt engineering strategies to improve model responses and performance. Work with tools like LlamaIndex, LangChain, and LangGraph to integrate AI into business workflows. Use LangGraph and AutoGen to design and manage multi-step reasoning workflows for complex applications by using poly LLMs. Develop APIs and interfaces for integrating LLM-based models into existing systems on Flask. Perform performance testing, debugging, and continuous improvement of APIs. Research on developing conversational agents, personalized recommendations, and other GenAI-powered products like intelligent chatbots, assistants and digital twins. Keep up with the latest developments in AI/ML and apply new techniques to improve our models and tools. Required Skills & Qualifications: Experience: 2-4 years of Python development experience with a focus on AI/ML. Knowledge: In-depth understanding of LLMs, GenAI, and prompt engineering. Frameworks: Proficiency in LlamaIndex, LangChain, LangGraph, and AutoGen. Machine Learning: Experience with deploying and scaling machine learning models in production environments. Speech processing : Proficiency with speech-to-text or voice recognition systems such as Azure cognitive services and Google Speech API. NLP: Solid understanding of natural language processing, tokenization, and semantic analysis. APIs: Strong experience in developing and integrating RESTful APIs on Flask for AI/ML systems. Problem Solving: Ability to create scalable solutions for multi-modal, poly LLM and generative AI applications. Collaboration: Excellent communication and teamwork skills to collaborate with cross-functional teams. Preferred Qualifications: Knowledge on Speech synthesis and Sentience simulation Experience with cloud platforms (Azure and GCP) for deploying and scaling AI/ML models. Familiarity with containerization (Docker) and orchestration tools (Kubernetes) for deploying microservices. Experience with reinforcement learning, transformers, or other cutting-edge techniques. Understanding of ethical AI, data privacy, and responsible AI practices. Job Type: Full-time Ability to commute/relocate: Bangalore, Karnataka: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Required) Experience: LLM: 2 years (Preferred) LangChain or LangGraph: 2 years (Preferred) Docker: 2 years (Preferred) STT / ASR: 2 years (Preferred) API Development: 2 years (Preferred) Work Location: In person

Software Engineer, AI — Code Evaluation & Training (Remote) List of accepted countries and locations Help train large-language models (LLMs) to write production-grade code across a wide range of programming languages: Compare & rank multiple code snippets , explaining which is best and why. Repair & refactor AI-generated code for correctness, efficiency, and style. Inject feedback (ratings, edits, test results) into the RLHF pipeline and keep it running smoothly. End result: the model learns to propose, critique, and improve code the way you do. RLHF in one line Generate code ➜ expert engineers rank, edit, and justify ➜ convert that feedback into reward signals ➜ reinforcement learning tunes the model toward code you’d actually ship. What You’ll Need 3+ years of professional software engineering experience in Rust (Constraint programming experience is a bonus, but not required) Strong code-review instincts —you can spot logic errors, performance traps, and security issues quickly. Extreme attention to detail and excellent written communication skills. Much of this role involves explaining why one approach is better than another. This cannot be overstated. You enjoy reading documentation and language specs and thrive in an asynchronous, low-oversight environment. What You Don’t Need No prior RLHF (Reinforcement Learning with Human Feedback) or AI training experience. No deep machine learning knowledge. If you can review and critique code clearly, we’ll teach you the rest. Tech Stack We are looking for engineers with a strong command of Rust . Logistics Location: Fully remote — work from anywhere Compensation: From $30/hr to $70/hr, depending on location and seniority Hours: Minimum 15 hrs/week, up to 40 hrs/week available Engagement: 1099 contract Straightforward impact, zero fluff. If this sounds like a fit, apply here!

Software Engineer, AI — Code Evaluation & Training (Remote) List of accepted countries and locations Help train large-language models (LLMs) to write production-grade code across a wide range of programming languages: Compare & rank multiple code snippets , explaining which is best and why. Repair & refactor AI-generated code for correctness, efficiency, and style. Inject feedback (ratings, edits, test results) into the RLHF pipeline and keep it running smoothly. End result: the model learns to propose, critique, and improve code the way you do. RLHF in one line Generate code ➜ expert engineers rank, edit, and justify ➜ convert that feedback into reward signals ➜ reinforcement learning tunes the model toward code you’d actually ship. What You’ll Need 3+ years of professional software engineering experience in Cobol (Constraint programming experience is a bonus, but not required) Strong code-review instincts —you can spot logic errors, performance traps, and security issues quickly. Extreme attention to detail and excellent written communication skills. Much of this role involves explaining why one approach is better than another. This cannot be overstated. You enjoy reading documentation and language specs and thrive in an asynchronous, low-oversight environment. What You Don’t Need No prior RLHF (Reinforcement Learning with Human Feedback) or AI training experience. No deep machine learning knowledge. If you can review and critique code clearly, we’ll teach you the rest. Tech Stack We are looking for engineers with a strong command of Cobol . Logistics Location: Fully remote — work from anywhere Compensation: From $30/hr to $70/hr, depending on location and seniority Hours: Minimum 15 hrs/week, up to 40 hrs/week available Engagement: 1099 contract Straightforward impact, zero fluff. If this sounds like a fit, apply here!

Job Title: Quantity Surveyor (Civil Engineering) Experience: 4-5 Years Job Description: We are looking for an experienced and detail-oriented Quantity Surveyor to join our team. The ideal candidate will have a solid background in civil construction and consultancy, with expertise in quantity take-offs, rate analysis, and material reconciliation. Key Responsibilities: Prepare accurate quantity take-offs (BOQs) supported by measurement sheets and hand sketches. Work collaboratively with structural engineers, architects, and other design disciplines to ensure accurate and timely outputs. Review and extract measurements/dimensions from AutoCAD drawings. Conduct rate analysis for civil construction items in line with CPWD/DSR formats. Prepare, check, and certify running and final bills for civil construction. Reconcile cement, steel, and other free-supply materials. Analyze GFC/construction drawings for precise quantity take-offs. Apply thumb rules and ratios for key civil construction items such as cement and reinforcement consumption. Leverage a network of suppliers, vendors, and contractors to gather reliable data and resources. Skills & Qualifications: Diploma / B.E. / B. Tech / M.E. / M. Tech in Civil Engineering or Construction. 4-5 years of quantity surveying experience in civil contracting or consultancy organizations. Strong theoretical and practical knowledge of civil construction activities, including RCC work, road and infrastructure projects, structural steel work, architectural finishes, plumbing, sanitary, and aluminum section work. Proficiency in Microsoft Excel and AutoCAD for reviewing and measuring drawings. High attention to detail and thoroughness in all aspects of work. Resourcefulness and a proactive approach to problem-solving. Preferred: Candidates from Gujarat will be preferred. Why Join Us? Join a forward-thinking team where your expertise in civil construction and quantity surveying will contribute to impactful and innovative projects. Apply now to take the next step in your career with us!

Job Summary: Seematti is seeking a dynamic and experienced Sales Training Manager to lead the training and development initiatives across its retail outlets. This individual will be responsible for designing, delivering, and managing effective sales training programs for floor managers, store managers, and front-line sales staff. The role involves regular travel to Seematti’s different branches to ensure consistent execution and reinforcement of customer service standards and sales excellence. Key Responsibilities: Develop and implement comprehensive training programs tailored for retail floor managers, store managers, and sales staff. Create a standardized sales communication process to guide staff on how to greet, interact with, and close sales with customers. Build and implement a customer handling SOP (Standard Operating Procedure) including objection handling, product presentation, upselling, and closing techniques. Conduct in-person training sessions across multiple Seematti branches on a rotational basis. Design training manuals, handbooks, and checklists to ensure easy reference and long-term reinforcement. Establish a sales staff performance tracking system to evaluate the effectiveness of training interventions. Provide regular feedback and coaching to sales staff and identify areas for improvement. Collaborate with HR and Operations teams to align training modules with Seematti's values and goals. Introduce evaluation metrics such as mock customer visits, performance dashboards, and feedback loops. Stay up to date with retail industry trends and incorporate best practices into training programs. Key Requirements: Bachelor's degree in Business Administration, Sales, or a related field. 5+ years of experience in training sales staff within the retail merchandise/fashion/apparel sector. Proven track record in developing and delivering impactful training modules. Strong understanding of sales psychology, customer service protocols, and retail floor management. Willingness to travel frequently across various Seematti locations. Excellent communication, interpersonal, and presentation skills. Fluency in English and Malayalam is a must. Preferred Qualities: Strong leadership and mentoring abilities. Hands-on experience in setting up new store teams or relaunch training. Creative and strategic mindset to continuously innovate training content. In addition to the base salary, we propose the following inclusions to enhance the offer: Food Allowance Travel Reimbursement for inter-branch visits and training-related mobility

Summary As a Data Scientist you will build and deploy data-driven solutions to support business goals. You will use your skills in data analytics, machine learning (supervised and unsupervised) and GenAI, to translate complex data into actionable insights. As a data scientist you will work closely with cross-functional team of data engineers, product owners, Devops and bridge the gap between technical implementation and business needs. Responsibilities (Other duties may be assigned.) Experiment and feature engineer with data to design and build machine/deep learning models with appropriate precision, recall, F1 scores to meet the use case need Prompt engineer to develop new and enhance existing Gen-AI applications. (Chatbots, RAG). Develop and implement advanced AI agents capable of performing autonomous tasks, decision-making, and executing requirement-specific workflows. Document and create experiment reports on the implementation and code in a way that is clear and accessible to both technical and non-technical team members. Perform advanced data analysis, manipulation, and cleansing to extract actionable insights from structured and unstructured data. Create scalable and efficient recommendation systems that enhance user personalization and engagement. Effectively communicate technical solutions and findings to both technical and non-technical stakeholders. Design and deploy AI-driven chatbots and virtual assistants, focusing on natural language understanding and contextual relevance. Implement and optimize supervised and unsupervised learning models for NLP tasks, including text classification, sentiment analysis, and language generation. Explore, understand, and develop state-of-the-art technologies for AI agents, integrating them with broader enterprise systems. Collaborate with cross-functional teams to gather business requirements and deliver AI-driven solutions tailored to specific use cases. Automate workflows using advanced AI tools and frameworks to increase efficiency and reduce manual interventions. Stay informed about cutting-edge advancements in AI, machine learning, NLP, and Gen AI applications, and assess their relevance to the organization. Education and/or experience: At least 5 years of experience working with data sciences. Preferably with a bachelors (OR Master) degree in Computer Science, Data Science, or Artificial Intelligence. Knowledge Skills and Abilities: Strong understanding of mathematics including vector algebra and probability theory for understanding and explaining machine learning (discriminative and generative) models. Strong expertise in data analytics, pattern recognition, machine learning, including predictive modeling and recommendation systems. Excellent communication & documentation skills to articulate complex ideas to diverse audiences. Hands-on experience with large datasets and using distributed systems for analytics and modelling. Advanced understanding of natural language processing (NLP) techniques and tools, including transformers like BERT, GPT, or similar models including open-source LLMs. Strong knowledge of cloud platforms (AWS) for deploying and scaling AI models. Proficiency with code versioning platforms like CodeCommit and GitHub. Technical Skills: Python proficiency and hands-on experience with libraries like (Pandas, Dask, Numpy, Matplotlib, NLTK, Sklearn, Pytorch and Tensorflow). Experience in prompt engineering for AI models to enhance functionality and adaptability. Familiarity with AI agent frameworks like LangChain, OpenAI APIs, or other agent-building tools. Advanced skills in Relational databases [Postgres], Vector Database, querying, analytics, semantic search, and data manipulation. Strong problem-solving and critical-thinking skills, with the ability to handle complex technical challenges. Hands-on experience working with API frameworks like Flask, FastAPI, etc. Proficiency with code versioning platforms like CodeCommit and GitHub. Preferred: Hands-on experience building and deploying conversational AI, chatbots, and virtual assistants. Familiarity with MLOps pipelines and CI/CD for AI/ML workflows. Experience with reinforcement learning or multi-agent systems. Language Skills Ability to speak the English language proficiently, both verbally and in writing. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Employee works primarily in a home office environment. The home office must be a well-defined work area, separate from normal domestic activity and complete with all essential technology including, but not limited to; separate phone, scanner, printer, computer, etc. as required in order to effectively perform their duties. Compliance with all relevant FINEOS Global policies and procedures related to Quality, Security, Safety, Business Continuity, and Environmental systems. Travel and fieldwork, including international travel may be required. Therefore, employee must possess, or be able to acquire a valid passport. Must be legally eligible to work in the country in which you are hired. FINEOS is an Equal Opportunity Employer. FINEOS does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Company Description AGF Tecnik, a division of AGF Group Inc., opened in India in the spring of 2018, focusing on technical drawing, particularly reinforcement steel drawing. The team excels in providing estimation and detailing services for various construction projects. AGF Group specializes in reinforcing steel, post-tensioning, and scaffolding & access solutions, boasting over 40 business units globally. AGF Tecnik operates as a subsidiary of AGF Group Inc., based in Longueuil. Purpose: Rebar Detailer will oversee all functions relating to producing placing drawings and material cut list (bar list) for any assigned jobs. Prepare high quality, accurate, reinforcing steel placement drawings, through the interpretation of engineer’s plans and specifications. Drawings will need to conform to industry and company standards to provide necessary information for productive fabrication and field placement. Duties and Responsibilities Produces rebar drawings that conform to industry and company standards for various structures Produces accurate and detailed lists of material for shop fabrication Assists with the research of detailing, fabrication, and field problems Coordinates with customer and scheduling personnel to schedule material deliveries and placement Coordinates and accounts for any changes in our scope of work Maintains accurate records and documentation for each job Maintains an organized work area Responsible for making sure outstanding service is taking place and all efforts are taken to satisfy customer needs at all levels, phone calls, meetings, and job sites Performs other duties as assigned by manager Diploma or Bachelor in Civil Engineering or Mechanical Engineering degree preferred Experience: 2 to 6 Years in RebarCad Salary is not a constraint for a good Candidate

About Company: Our Client is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Client helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Powering this growth is Client talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications. Client—based in San Francisco, California—was named #1 on The Information's annual list of "Top 50 Most Promising B2B Companies," and has been profiled by Fast Company, TechCrunch, Reuters, Semafor, VentureBeat, Entrepreneur, CNBC, Forbes, and many others. Client leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, X, Stanford, Caltech, and MIT. Job Title: Software Engineer Location: Remote Note: Candidate should be comfortable to work for US Shifts/Night Shifts Interview Mode: Virtual (Two rounds of interviews (60 min technical + 30 min technical & cultural discussion) Client: Turing Experience: 5+ yrs Job Type : Contract to hire. Notice Period:- Immediate joiners. Roles and Responsibilities: Analyze and triage GitHub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects. Required Skills: Minimum 5+ years of overall experience Strong experience with at least one of the following languages: JavaScript Proficiency with Git, Docker , and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.

You will be responsible for managing shuttering, formwork, concreting, reinforcement, brickwork, and bar bending schedules on the site. You will execute site plans under the supervision of senior team members. Immediate joining is preferred. This is a full-time position with benefits including commuter assistance. The work schedule is in day shifts, and the work location is on-site.,

We are searching for a dedicated Home Tutor for Class 6th std standard with a strong background in one or more academic subjects. The tutor/teacher will be responsible for developing lesson plans and teaching students according to their educational needs. The position offers an in-hand salary of ₹12000 - ₹30000 and career growth opportunities. Key Responsibilities: Conduct tutoring sessions for students in various subjects. Assess, track, and report on student progress. Provide feedback to students using positive reinforcement techniques. Teach students study skills, note-taking skills, and test-taking strategies. Prepare students for standardized tests and examinations. Encourage interactive and collaborative learning in sessions. Maintain a safe and positive learning environment. Job Requirements:Candidates for this role must have Graduate and 1 - 6 years of experience in the teaching field. Applicants should have leadership experience and honed skills in areas like test preparations, special education, etc.

hackajob is collaborating with American Express to connect them with exceptional tech professionals for this role. 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 Benefits 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.

We are looking for a highly motivated and user-centered Associate UIUX Designer to join our growing design team. In this role, you’ll collaborate closely with product managers, developers, and stakeholders to create intuitive, impactful digital experiences. You’ll be involved in the end-to-end design process — from research and wireframing to high-fidelity prototyping and usability testing. This is an opportunity for someone who doesn’t just design for customers, but designs with them — someone who brings intensity, empathy, and ownership to everything they build. Title : Associate UIUX Designer Location: Remote Employment Type: Full Time Work Timings: 2-11PM Experience: 2+ Years of experience Key Responsibilities: Conduct user research and translate insights into actionable design decisions Define clear information architectures, task flows, and navigation structures Design wireframes, high-fidelity mockups, and interactive prototypes using Figma Apply visual design and UI principles to ensure clean, accessible, and engaging interfaces Collaborate in building and maintaining design systems for consistent UI delivery Participate in usability testing, gather feedback, and iterate quickly Work closely with developers to ensure seamless implementation of designs Communicate ideas and rationale effectively with both technical and non-technical audiences Contribute to team reviews and feedback sessions Maintain a strong attention to detail while managing multiple projects Top Non-Negotiable Skills User Research & Analysis: Ability to conduct user interviews, surveys, and competitive analysis to gather actionable insights. Information Architecture: Creating logical sitemaps, user flows, and navigation systems. Wireframing & Prototyping: Proficiency in creating everything from low-fidelity sketches to high-fidelity, interactive prototypes. Interaction Design: Defining how users interact with products and ensuring those interactions are intuitive and effective. Visual Design & UI Principles: Strong grasp of typography, color theory, visual hierarchy, and creating clean user interfaces that align with brand standards. Design System Contribution: Ability to work within an established design system and contribute new components and patterns thoughtfully. Usability Testing: Planning and conducting moderated and unmoderated tests to validate design decisions and identify user pain points. Curiosity / Empathy: A curious and user-focused mindset that asks the why behind user behavior and always keeps their needs at the center, ensuring every design decision is thoughtful and human-centered. Seeker Mindset / Ability to Question: A mindset that challenges assumptions, asks thoughtful questions, and actively seeks better ways to solve problems. Team Player: Collaborates effectively, values diverse perspectives, and contributes positively to group outcomes. Problem-Solving / Passion: Moving beyond surface-level requests to identify and address the root cause of a problem. Ownership & Accountability: Taking responsibility for the success of their assigned features from concept through to implementation. Communication & Articulation: Clearly explaining design rationale and thought processes to both technical and non-technical audiences. Negotiable Skills Business Acumen: Understanding how design decisions impact business goals, metrics, and KPIs. Technical Familiarity: A solid understanding of HTML, CSS, and platform constraints (web/mobile) to ensure designs are feasible. Mentorship: Willingness to provide guidance and support to junior designers and interns. UX Writing & Content Strategy: Crafting clear, concise, and helpful copy that guides the user and enhances the overall experience. About Techolution: Techolution is a Product Development firm on track to become one of the most admired brands in the world for "innovation done right" . Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve. With that, we are now fully committed to helping our clients build the enterprise of tomorrow by making the leap from Lab Grade AI to Real World AI . We are honored to have recently received the prestigious Inc 500 Best In Business award , a testament to our commitment to excellence. While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we serve. Let's explore further! Uncover our unique AI accelerators with us: 1. Enterprise LLM Studio : Our no-code DIY AI studio for enterprises. Choose an LLM, connect it to your data, and create an expert-level agent in 20 minutes. 2. AppMod. AI : Modernizes ancient tech stacks quickly, achieving over 80% autonomy for major brands! 3. ComputerVision. AI : Our ComputerVision. AI Offers customizable Computer Vision and Audio AI models, plus DIY tools and a Real-Time Co-Pilot for human-AI collaboration! 4. Robotics and Edge Device Fabrication : Provides comprehensive robotics, hardware fabrication, and AI-integrated edge design services. 5. RLEF AI Platform : Our proven Reinforcement Learning with Expert Feedback (RLEF) approach bridges Lab-Grade AI to Real-World AI. 6. AI Center of Excellence : Establishes an AI Center of Excellence to maximize AI potential and ROI. 7. FaceOpen : AI-powered user identification system using image recognition and deep neural networks, eliminating the need for keys, badges, or fingerprint scanners! Our Impact: Techolution has empowered 300+ global clients, including 50+ Fortune 500 companies , with cutting-edge digital and AI transformation. With over 9 years of innovation, our teams operate across industries such as: Healthcare Education Retail Media Technology Banking Fintech Government Telecom Manufacturing We are proud to champion AI Done Right , making a meaningful and measurable impact across the globe. Awards & Recognition: 2024: Forbes features our CEO’s best-selling book — “Failing Fast?: The 10 Secrets to Succeed Faster” 2023: AI Solutions Provider of the Year – AI Summit 2022: Best in Business Award – Inc. Magazine 2021: Best Cloud Transformation Consulting – CIO Review 2019: Inc. 500 Fastest-Growing Company Award. Some videos you wanna watch! Computer Vision demo at The AI Summit New York 2023 Life at Techolution GoogleNext 2023 Ai4 - Artificial Intelligence Conferences 2023 WaWa - Solving Food Wastage Saving lives - Brooklyn Hospital Innovation Done Right on Google Cloud Techolution featured on Worldwide Business with KathyIreland Techolution presented by ION World’s Greatest Visit us @ www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology.

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 cuttingedge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities The Candidate Actively Seeks To Understand Amazon’s Core Business Values And Initiatives, And Translates Those Into Everyday Practices. Some Of The Key Result Areas Include, But Not Limited To Experience in managing process and operational escalations Driving appropriate data oriented analysis, adoption of technology solutions and process improvement projects to achieve operational and business goal Managing stakeholder communication across multiple lines of business on operational milestones, process changes and escalations Communicate and take the lead role in identifying gaps in process areas and work with all stakeholders to resolve the gaps Be a SME for the process and a referral point for peers and junior team members Has the ability to drive business/operational metrics through quantitative decision making, and adoption of different tools and resources Ability to meet deadlines in a fast paced work environment driven by complex software systems and processes Ability to perform deep dive in the process and come up with process improvement solutions Shall collaborate effectively with other teams and subject matter experts (SMEs), Language Engineers (LaEs) to support launches of new process and services About The Team Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cuttingedge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Basic Qualifications A Bachelor’s Degree and relevant work experience of 3+ years. Candidate must demonstrate language proficiency in French language - verbal, writing, reading and comprehension. Required language level: C1 or above. Candidate must demonstrate ability to analyze and interpret complex SOPs. Excellent problem-solving skills with a proactive approach to identifying and implementing process improvements. Strong communication and interpersonal skills to effectively guide and mentor associates. Ability to work collaboratively with cross-functional teams. Thoroughly understand multiple SOPs and ensure adherence to established processes. Identify areas for process improvement and SOP enhancement, and develop actionable plans for implementation. Lead and participate in process improvement initiatives. Comfortable working in a fast paced, highly collaborative, dynamic work environment Willingness to support several projects at one time, and to accept re-prioritization as necessary. Adaptive to change and able to work in a fast-paced environment. Preferred Qualifications Experience with Artificial Intelligence interaction, such as prompt generation and open AI's. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Haryana Job ID: A3035218