2079 Reinforcement Jobs - Page 30

Position Title: AI Engineer Position Type: Regular - Full-Time Position Location: Gurgaon Requisition ID: 36726 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 Data and Analytics Location(s): IN - India : Haryana : Gurgaon Company: McCain Foods(India) P Ltd

About the Role: We are seeking a sharp Automation Engineer with deep hands-on experience in building web scrapers , Selenium automation , and Python development . The ideal candidate will also have a strong foundation in AI-driven agentic automation , designing systems that mimic human decision-making at scale. Responsibilities: Build and maintain robust web scraping solutions across various websites and platforms. Develop and optimize Selenium-based automation scripts for high reliability and speed. Leverage AI models and frameworks to design autonomous agents for workflow and task automation. Ensure scalability, error handling, and long-term maintainability of scraping and automation systems. Collaborate closely with internal teams to understand evolving data extraction and automation needs. Stay current with industry best practices in scraping defenses, AI agents, and Python advancements. Requirements: 3+ years of hands-on experience building production-grade web scrapers. Strong proficiency in Python and libraries like Selenium , BeautifulSoup , Scrapy , etc. Experience designing or implementing AI-based automation agents (using frameworks like LangChain, OpenAI, or similar). Deep understanding of headless browser operations, CAPTCHAs, proxies, and evasion techniques. Solid debugging, testing, and optimization skills. Comfort working in a fast-paced, self-directed environment. Bonus Points: Experience with browser automation frameworks beyond Selenium (e.g., Playwright). Familiarity with cloud-based scraping infrastructure (e.g., AWS Lambda, Dockerized scraping). Knowledge of reinforcement learning or AI autonomy systems.

Location: Remote Engagement: Freelance/Contract (40 hours/week) Join us at the forefront of AI evolution! We are seeking exceptional Freelance Engineers, Coders, Developers etc to join our India Coders Program. This is a unique opportunity for expert coders to move beyond conventional software development or basic data annotation and directly contribute to the refinement and advancement of cutting-edge, coding-based foundational AI models . If you're a passionate, top-tier coder with a strong grasp of computer science fundamentals and an ambition to shape the future of AI, we want to hear from you. This role is for individuals who thrive on complex challenges and possess the analytical prowess to meticulously evaluate and enhance AI-generated code and logic. You won't be doing menial tasks; you'll be an expert partner in training sophisticated AI systems. What You'll Do (Your Impact) : As a AI Contributor, you'll be instrumental in improving the capabilities of next-generation AI models. Your core responsibilities will involve : Advanced Data Annotation for AI : Engaging in Reinforcement Learning from Human Feedback (RLHF) and Supervised Fine-Tuning (SFT) evaluations, specifically focused on code generation, code analysis, and related tasks . Prompt Engineering & Response Evaluation : Crafting nuanced prompts to test AI model capabilities, critically evaluating the quality, accuracy, and coherence of AI-generated responses (especially code). Meticulous Response Rewriting : Correcting, refining, and rewriting AI outputs to meet the highest standards of accuracy, logic, and utility, ensuring they are production-ready . Debugging & Enhancing AI Logic : Identifying flaws, biases, or areas for improvement in AI model responses and providing detailed feedback to guide model development . Contributing to Diverse AI Projects : Working across a variety of AI use cases with a primary focus on those involving complex coding tasks and structured thinking . Who You Are (Mandatory Qualifications): We're looking for individuals who are not just coders, but thinkers and problem-solver s: Language Prowess: Fluency in at least one programming language (e.g., Python, JavaScript, Java, C++, etc.) with a demonstrated "charisma" – the ability to quickly learn and translate your coding expertise to new languages and paradigms as needed. Top-Tier Coding Experience: Significant experience in building software products, OR A very strong fundamental education in Computer Science (or a related STEM field) with demonstrable coding expertise. Experience: Minimum of 3 year of relevant professional work experience (excluding internships). Education/Backgroun d: Graduate from a Tier 1 college or have experience working in a Tier 1 company; OR a strong background as a Computer Science (CS) graduate or Product Engineer. English Proficiency: Comfortable speaking, understanding, and writing in English to a high standard for clear communication and documentatio n. Availability: Able to dedicate a minimum of 40 hours per week. Resources: Access to a personal laptop and reliable internet connectio n. Self-Accountabilit y: Highly self-driven, disciplined, and proactive, capable of managing your work independently while meeting deadlines. What Sets You Apart (Preferred Skills & Attributes): Deep Code Understanding : Experience in providing detailed code reviews or writing in-depth technical documentation (e.g., Product Requirement Documents - PRDs). Analytical Minds et: Exceptional structured thinking, logic, and precision in your approach to tasks. Curiosity & Fast Learner: A genuine passion for AI and the ability to quickly grasp novel concepts and adapt to evolving project requirements. Previous AI/ML Exposure: Familiarity with machine learning concepts, data annotation, or AI model training principles is a plus, but not mandatory if coding skills are top-tier. Why This Role Is a Unique Opportunity (Perks): Beyond Prompting (Real AI Influen ce): This is far more than prompt writing. You'll be contributing to the actual evolution of AI behavior, from writing nuanced instructions and debugging model responses to handling complex code-based tasks. Diverse, High-Impact Coding Proje cts: Work across multiple AI use cases focused on coding, building a unique, multidisciplinary skill set in AI's real-world applications. Continuous Learning by Doing (R&D Challenges): Each task is a mini R&D challenge involving novel concepts. Test the boundaries of current AI coding capabilities and adapt your thinking. Direct Influence on Foundational AI Models: Your feedback will directly shape AI outputs used by millions, improving reasoning, reducing bias, and enhancing safety in code generation and understanding. Structured Autonomy: Work independently with clear expectations, frameworks, checklists, and quality benchmarks. Ideal for self-driven, disciplined, and proactive individuals. Career Capital in AI: Build deep domain knowledge in AI, gain exposure to high-quality research workflows, and create a work history that opens doors to full-time roles, consulting, or AI entrepreneurship. Global Collaboration & Remote Flexibility: Collaborate with sharp teams across time zones. Schedule your hours flexibly while aligning with team check-ins, feedback loops, and deadlines via platforms like Slack and Zoom. Compensation & Commitment: We believe in paying fairly for deep expertise and quality contribution. You will star t at $16.5/ hour After completing the probation phase and consistently meeting quality standards, your rate can increase u p to $27.5 /hour This is a freelance con tract role with weekly pa youts based on approved task completion. Work is flexible but requires a strong commitment to quality, deadlines, and communication. How the Process Works: Once you submit the form below or using apply button, our team will review your profile - Form link: https://docs.google.com/forms/d/e/1FAIpQLSfE5taQ5EMViDspEbxU56JKZ8DGAnnG_gp_jeseDtNbaVCCBA/viewform?usp=dialog If you’re shortlisted, you’ll be invited to a live evaluation call The entire assessment process takes approximately 1-2 hours, and is conducted online via Google Meet/zoom.

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

This role is for one of Weekday's clients Min Experience: 2 years Location: gurugram, NCR, Delhi, NOIDA, Uttar Pradesh JobType: full-time Requirements About the Role: We are seeking a passionate and skilled AI/ML Engineer with 2+ years of experience to join our growing technology team. The ideal candidate will have a strong foundation in machine learning, data processing, and model deployment. You will work on developing and implementing cutting-edge AI and ML models to solve real-world problems and contribute to the development of intelligent systems across our product suite. You'll collaborate with cross-functional teams including data scientists, software engineers, and product managers to build scalable and robust ML-powered applications. Key Responsibilities: 🔹 Model Development & Deployment Design, build, and train machine learning models to support core product features. Experiment with supervised, unsupervised, and deep learning algorithms to solve business challenges. Deploy models into production environments and monitor their performance. 🔹 Data Handling & Feature Engineering Collect, clean, preprocess, and analyze large volumes of structured and unstructured data. Engineer features that enhance model performance and align with product requirements. Ensure data quality and consistency across the pipeline. 🔹 Model Optimization Evaluate model performance using relevant metrics (precision, recall, F1-score, ROC-AUC, etc.). Optimize models for speed and accuracy using hyperparameter tuning, ensemble methods, or transfer learning. 🔹 Collaboration & Integration Collaborate with backend and frontend teams to integrate AI/ML capabilities into products. Build APIs and services that expose ML models for consumption across applications. Work closely with data engineers and DevOps to deploy and scale ML pipelines. 🔹 Research & Innovation Stay updated on the latest trends, tools, and frameworks in AI/ML. Prototype and test innovative AI solutions, including NLP, computer vision, recommendation systems, or time series forecasting. Document methodologies, findings, and technical processes clearly. Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field. 2+ years of hands-on experience in AI/ML model development and deployment. Strong knowledge of Python and ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, or similar. Experience with data manipulation tools like Pandas, NumPy, and visualization libraries such as Matplotlib or Seaborn. Understanding of ML lifecycle, including data preprocessing, model building, evaluation, and deployment. Familiarity with cloud platforms (AWS, GCP, Azure) and container technologies like Docker is a plus. Knowledge of REST APIs and integration of ML models with applications. Excellent problem-solving and analytical skills. Strong communication skills and ability to explain complex ML concepts to non-technical stakeholders. Preferred (Nice to Have): Experience with Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning. Exposure to MLOps, model monitoring, or CI/CD pipelines. Familiarity with data versioning tools like DVC, MLflow, or Kubeflow

About Flutter Entertainment Flutter Entertainment is a global leader in sports betting, gaming, and entertainment, with annual revenues of $14.04 Bn and a customer base of over 14 million players (in 2024) driven by a portfolio of iconic brands, including FanDuel, Sky Betting & Gaming, Paddy Power, PokerStars, Betfair, Sportsbet, Tombola, Adjarabet, Sisal, Junglee Games, Snai and MaxBet. We have an unparalleled portfolio of world-class brands, global scale and challenging mindset, through which we excite and entertain our customers, in a safe and sustainable way. Using our collective power, the Flutter Edge , we aim to disrupt our sector, learning from the past to create a better future for our customers, colleagues and communities. Listed on both the New York Stock Exchange (NYSE) and the London Stock Exchange (LSE) , Flutter was recently included in TIME's 100 Most Influential Companies of 2024 in the 'Pioneers' section. FLUTTER ENTERTAINMENT INDIA Flutter Entertainment India (FEI), located in Hyderabad, in one of India’s premier technology parks in Hi-Tech city is the Global Capability Center for Flutter Entertainment. A center of expertise and innovation, this hub is now home to over 1000+ employees working across various business functions. We are committed to crafting impactful solutions for all our brands and divisions to power Flutter's incredible growth and global impact. We have ambitious growth plans and goals for the future and the global and local scale to achieve them . At Flutter, we’re redefining entertainment by combining cutting-edge technology, immersive gaming, and responsible betting experiences. With players at the heart of everything we do, we believe that world-class customer operations are essential to trust, loyalty, and long-term growth. We’re seeking a visionary Head of Customer Operations who can lead from the front, shape strategy, and inspire teams to deliver unforgettable customer experiences. If you thrive in a challenging and fast-paced environment, this is the place for you. We are seeking a proactive and detail-oriented Learning & Development Coordinator to support the planning, implementation, and evaluation of learning and development initiatives. The Learning & Development & DE&I Coordinator plays a critical role in building a culture of continuous learning, performance excellence, and inclusion across the organization. This position is responsible for coordinating and supporting learning initiatives that enable employees at all levels to acquire new skills, develop leadership capabilities, and adapt to a rapidly changing business environment. In collaboration with HR and business leaders, the L&D & DE&I Coordinator ensures that all learning interventions are not only aligned with organizational goals but also accessible, inclusive, and reflective of our diverse workforce. The L&D Coordinator serves as a connector between employees and external training partners, ensuring smooth execution of programs and insightful evaluation of outcomes. Overview Of The Role We’re looking for a passionate and detail-oriented Talent Development & DEI Specialist to support and drive impactful learning, development, and inclusion initiatives across the organization. This role plays a critical part in shaping a positive and engaging employee experience through structured onboarding, continuous development opportunities, and inclusive culture-building efforts. KEY RESPONSIBILITES Onboarding & Induction Design, manage, and deliver end-to-end onboarding and induction experiences for all new hires. Partner with HR, IT, and business teams to ensure a seamless Day 1 and 90-day journey. Continuously improve onboarding content and experience to align with evolving organizational needs. Employee Development Programs Manage the full lifecycle of learning and development programs across employee segments. Publish and maintain learning calendars, ensuring visibility and clarity on all scheduled programs. Coordinate nominations, pre/post-comms, feedback, and impact assessment for all programs. Learning Management System (LMS) Management Oversee the administration of the Learning Management System, including course uploads, learner records, and reporting. Ensure all training content is up-to-date, structured, and accessible for learners. Generate usage analytics and insights to support data-driven decisions around learning investments. Facilitation & Engagement Facilitate onboarding and select learning sessions for employees and support ongoing development and engagement. Support pre-session preparation, delivery, and follow-ups including nudges and reinforcement activities. Vendor & Operations Management Collaborate with external learning partners and vendors to deliver high-quality programs. Handle end-to-end vendor management including contracting, coordination, logistics, and feedback loops. Manage learning budgets, process invoices, and ensure accurate and timely payments. DEI Programs & Advocacy Support the design and execution of DEI initiatives in line with the company’s inclusion goals. Curate and share DEI-focused learning content and drive employee awareness campaigns. Partner with ERGs, People Partners and leadership to organize inclusion-focused events and conversations. Reporting & Analytics Develop and maintain robust reporting mechanisms for L&D activities, including participation rates, completion metrics, feedback summaries, and other key performance indicators. Generate insightful analytics to assess the effectiveness and impact of training programs, providing data to inform future strategies. Contribute to reporting on DE&I program engagement and impact. TO EXCEL IN THIS ROLE, YOU WILL NEED TO HAVE Bachelor’s degree in human resources, Business Administration, Education, or a related field. 3–5 years of experience in L&D, Talent Development, or DEI roles. Hands-on experience managing learning platforms/LMS tools and program communications. Excellent project management, coordination, and facilitation skills. Ability to balance multiple priorities with a high degree of ownership and attention to detail. Strong passion for inclusive workplaces and a learner-first mindset. Exceptional organizational skills with meticulous attention to detail and the ability to manage multiple priorities simultaneously. Strong communication skills (written and verbal), capable of engaging effectively with internal stakeholders, vendors, and participants. Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint, Outlook) and experience with HRIS or Learning Management Systems (LMS). Ability to work independently while also being a strong team player. Data literate with ability to interpret and use data to drive decision making. Knowledge of Learning Management Platforms and HR Systems such as Workday (preferred). Benefits We Offer Access to Learnerbly, Udemy , and a Self-Development Fund for upskilling. Career growth through Internal Mobility Programs . Comprehensive Health Insurance for you and dependents. Well-Being Fund and 24/7 Assistance Program for holistic wellness. Hybrid Model : 2 office days/week with flexible leave policies, including maternity, paternity, and sabbaticals. Free Meals, Cab Allowance , and a Home Office Setup Allowance. Employer PF Contribution , gratuity, Personal Accident & Life Insurance. Sharesave Plan to purchase discounted company shares. Volunteering Leave and Team Events to build connections. Recognition through the Kudos Platform and Referral Rewards . WHY CHOOSE US Flutter is an equal-opportunity employer and values the unique perspectives and experiences that everyone brings. Our message to colleagues and stakeholders is clear: everyone is welcome, and every voice matters. We have ambitious growth plans and goals for the future. Here's an opportunity for you to play a pivotal role in shaping the future of Flutter Entertainment India

About Flutter Entertainment Flutter Entertainment is a global leader in sports betting, gaming, and entertainment, with annual revenues of $14.04 Bn and a customer base of over 14 million players (in 2024) driven by a portfolio of iconic brands, including FanDuel, Sky Betting & Gaming, Paddy Power, PokerStars, Betfair, Sportsbet, Tombola, Adjarabet, Sisal, Junglee Games, Snai and MaxBet. We have an unparalleled portfolio of world-class brands, global scale and challenging mindset, through which we excite and entertain our customers, in a safe and sustainable way. Using our collective power, the Flutter Edge , we aim to disrupt our sector, learning from the past to create a better future for our customers, colleagues and communities. Listed on both the New York Stock Exchange (NYSE) and the London Stock Exchange (LSE) , Flutter was recently included in TIME's 100 Most Influential Companies of 2024 in the 'Pioneers' section. FLUTTER ENTERTAINMENT INDIA Flutter Entertainment India (FEI), located in Hyderabad, in one of India’s premier technology parks in Hi-Tech city is the Global Capability Center for Flutter Entertainment. A center of expertise and innovation, this hub is now home to over 1000+ employees working across various business functions. We are committed to crafting impactful solutions for all our brands and divisions to power Flutter's incredible growth and global impact. We have ambitious growth plans and goals for the future and the global and local scale to achieve them . At Flutter, we’re redefining entertainment by combining cutting-edge technology, immersive gaming, and responsible betting experiences. With players at the heart of everything we do, we believe that world-class customer operations are essential to trust, loyalty, and long-term growth. We’re seeking a visionary Head of Customer Operations who can lead from the front, shape strategy, and inspire teams to deliver unforgettable customer experiences. If you thrive in a challenging and fast-paced environment, this is the place for you. We are seeking a proactive and detail-oriented Learning & Development Coordinator to support the planning, implementation, and evaluation of learning and development initiatives. The Learning & Development & DE&I Coordinator plays a critical role in building a culture of continuous learning, performance excellence, and inclusion across the organization. This position is responsible for coordinating and supporting learning initiatives that enable employees at all levels to acquire new skills, develop leadership capabilities, and adapt to a rapidly changing business environment. In collaboration with HR and business leaders, the L&D & DE&I Coordinator ensures that all learning interventions are not only aligned with organizational goals but also accessible, inclusive, and reflective of our diverse workforce. The L&D Coordinator serves as a connector between employees and external training partners, ensuring smooth execution of programs and insightful evaluation of outcomes. Overview Of The Role We’re looking for a passionate and detail-oriented Talent Development & DEI Specialist to support and drive impactful learning, development, and inclusion initiatives across the organization. This role plays a critical part in shaping a positive and engaging employee experience through structured onboarding, continuous development opportunities, and inclusive culture-building efforts. KEY RESPONSIBILITES Onboarding & Induction Design, manage, and deliver end-to-end onboarding and induction experiences for all new hires. Partner with HR, IT, and business teams to ensure a seamless Day 1 and 90-day journey. Continuously improve onboarding content and experience to align with evolving organizational needs. Employee Development Programs Manage the full lifecycle of learning and development programs across employee segments. Publish and maintain learning calendars, ensuring visibility and clarity on all scheduled programs. Coordinate nominations, pre/post-comms, feedback, and impact assessment for all programs. Learning Management System (LMS) Management Oversee the administration of the Learning Management System, including course uploads, learner records, and reporting. Ensure all training content is up-to-date, structured, and accessible for learners. Generate usage analytics and insights to support data-driven decisions around learning investments. Facilitation & Engagement Facilitate onboarding and select learning sessions for employees and support ongoing development and engagement. Support pre-session preparation, delivery, and follow-ups including nudges and reinforcement activities. Vendor & Operations Management Collaborate with external learning partners and vendors to deliver high-quality programs. Handle end-to-end vendor management including contracting, coordination, logistics, and feedback loops. Manage learning budgets, process invoices, and ensure accurate and timely payments. DEI Programs & Advocacy Support the design and execution of DEI initiatives in line with the company’s inclusion goals. Curate and share DEI-focused learning content and drive employee awareness campaigns. Partner with ERGs, People Partners and leadership to organize inclusion-focused events and conversations. Reporting & Analytics Develop and maintain robust reporting mechanisms for L&D activities, including participation rates, completion metrics, feedback summaries, and other key performance indicators. Generate insightful analytics to assess the effectiveness and impact of training programs, providing data to inform future strategies. Contribute to reporting on DE&I program engagement and impact. TO EXCEL IN THIS ROLE, YOU WILL NEED TO HAVE Bachelor’s degree in human resources, Business Administration, Education, or a related field. 3–5 years of experience in L&D, Talent Development, or DEI roles. Hands-on experience managing learning platforms/LMS tools and program communications. Excellent project management, coordination, and facilitation skills. Ability to balance multiple priorities with a high degree of ownership and attention to detail. Strong passion for inclusive workplaces and a learner-first mindset. Exceptional organizational skills with meticulous attention to detail and the ability to manage multiple priorities simultaneously. Strong communication skills (written and verbal), capable of engaging effectively with internal stakeholders, vendors, and participants. Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint, Outlook) and experience with HRIS or Learning Management Systems (LMS). Ability to work independently while also being a strong team player. Data literate with ability to interpret and use data to drive decision making. Knowledge of Learning Management Platforms and HR Systems such as Workday (preferred). Benefits We Offer Access to Learnerbly, Udemy , and a Self-Development Fund for upskilling. Career growth through Internal Mobility Programs . Comprehensive Health Insurance for you and dependents. Well-Being Fund and 24/7 Assistance Program for holistic wellness. Hybrid Model : 2 office days/week with flexible leave policies, including maternity, paternity, and sabbaticals. Free Meals, Cab Allowance , and a Home Office Setup Allowance. Employer PF Contribution , gratuity, Personal Accident & Life Insurance. Sharesave Plan to purchase discounted company shares. Volunteering Leave and Team Events to build connections. Recognition through the Kudos Platform and Referral Rewards . WHY CHOOSE US Flutter is an equal-opportunity employer and values the unique perspectives and experiences that everyone brings. Our message to colleagues and stakeholders is clear: everyone is welcome, and every voice matters. We have ambitious growth plans and goals for the future. Here's an opportunity for you to play a pivotal role in shaping the future of Flutter Entertainment India

This role is for one of Weekday's clients Min Experience: 2 years Location: gurugram, NCR, Delhi, NOIDA, Uttar Pradesh JobType: full-time Requirements About the Role: We are seeking a passionate and skilled AI/ML Engineer with 2+ years of experience to join our growing technology team. The ideal candidate will have a strong foundation in machine learning, data processing, and model deployment. You will work on developing and implementing cutting-edge AI and ML models to solve real-world problems and contribute to the development of intelligent systems across our product suite. You'll collaborate with cross-functional teams including data scientists, software engineers, and product managers to build scalable and robust ML-powered applications. Key Responsibilities: 🔹 Model Development & Deployment Design, build, and train machine learning models to support core product features. Experiment with supervised, unsupervised, and deep learning algorithms to solve business challenges. Deploy models into production environments and monitor their performance. 🔹 Data Handling & Feature Engineering Collect, clean, preprocess, and analyze large volumes of structured and unstructured data. Engineer features that enhance model performance and align with product requirements. Ensure data quality and consistency across the pipeline. 🔹 Model Optimization Evaluate model performance using relevant metrics (precision, recall, F1-score, ROC-AUC, etc.). Optimize models for speed and accuracy using hyperparameter tuning, ensemble methods, or transfer learning. 🔹 Collaboration & Integration Collaborate with backend and frontend teams to integrate AI/ML capabilities into products. Build APIs and services that expose ML models for consumption across applications. Work closely with data engineers and DevOps to deploy and scale ML pipelines. 🔹 Research & Innovation Stay updated on the latest trends, tools, and frameworks in AI/ML. Prototype and test innovative AI solutions, including NLP, computer vision, recommendation systems, or time series forecasting. Document methodologies, findings, and technical processes clearly. Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field. 2+ years of hands-on experience in AI/ML model development and deployment. Strong knowledge of Python and ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, or similar. Experience with data manipulation tools like Pandas, NumPy, and visualization libraries such as Matplotlib or Seaborn. Understanding of ML lifecycle, including data preprocessing, model building, evaluation, and deployment. Familiarity with cloud platforms (AWS, GCP, Azure) and container technologies like Docker is a plus. Knowledge of REST APIs and integration of ML models with applications. Excellent problem-solving and analytical skills. Strong communication skills and ability to explain complex ML concepts to non-technical stakeholders. Preferred (Nice to Have): Experience with Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning. Exposure to MLOps, model monitoring, or CI/CD pipelines. Familiarity with data versioning tools like DVC, MLflow, or Kubeflow

This role is for one of Weekday's clients Min Experience: 2 years Location: gurugram, NCR, Delhi, NOIDA, Uttar Pradesh JobType: full-time Requirements About the Role: We are seeking a passionate and skilled AI/ML Engineer with 2+ years of experience to join our growing technology team. The ideal candidate will have a strong foundation in machine learning, data processing, and model deployment. You will work on developing and implementing cutting-edge AI and ML models to solve real-world problems and contribute to the development of intelligent systems across our product suite. You'll collaborate with cross-functional teams including data scientists, software engineers, and product managers to build scalable and robust ML-powered applications. Key Responsibilities: 🔹 Model Development & Deployment Design, build, and train machine learning models to support core product features. Experiment with supervised, unsupervised, and deep learning algorithms to solve business challenges. Deploy models into production environments and monitor their performance. 🔹 Data Handling & Feature Engineering Collect, clean, preprocess, and analyze large volumes of structured and unstructured data. Engineer features that enhance model performance and align with product requirements. Ensure data quality and consistency across the pipeline. 🔹 Model Optimization Evaluate model performance using relevant metrics (precision, recall, F1-score, ROC-AUC, etc.). Optimize models for speed and accuracy using hyperparameter tuning, ensemble methods, or transfer learning. 🔹 Collaboration & Integration Collaborate with backend and frontend teams to integrate AI/ML capabilities into products. Build APIs and services that expose ML models for consumption across applications. Work closely with data engineers and DevOps to deploy and scale ML pipelines. 🔹 Research & Innovation Stay updated on the latest trends, tools, and frameworks in AI/ML. Prototype and test innovative AI solutions, including NLP, computer vision, recommendation systems, or time series forecasting. Document methodologies, findings, and technical processes clearly. Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field. 2+ years of hands-on experience in AI/ML model development and deployment. Strong knowledge of Python and ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, or similar. Experience with data manipulation tools like Pandas, NumPy, and visualization libraries such as Matplotlib or Seaborn. Understanding of ML lifecycle, including data preprocessing, model building, evaluation, and deployment. Familiarity with cloud platforms (AWS, GCP, Azure) and container technologies like Docker is a plus. Knowledge of REST APIs and integration of ML models with applications. Excellent problem-solving and analytical skills. Strong communication skills and ability to explain complex ML concepts to non-technical stakeholders. Preferred (Nice to Have): Experience with Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning. Exposure to MLOps, model monitoring, or CI/CD pipelines. Familiarity with data versioning tools like DVC, MLflow, or Kubeflow

Senior Machine Learning Engineer (Remote, Global) About the Opportunity At Atacana Group, we are developing a cutting-edge, AI-powered health intelligence platform at the heart of pharmaceutical and healthcare innovation. Powered by advanced machine learning, our global team delivers actionable insights to some of the world’s largest pharmaceutical clients by continuously monitoring, understanding, and analyzing the latest developments from diverse global content and data sources. We are seeking a Senior Machine Learning Engineer who thrives in a fast-paced, startup-like environment. In this role, you will directly shape our AI backbone—building solutions that transform how Big Pharma responds to critical information, regulatory changes, and market dynamics. What You’ll Do: ● Document Understanding & Categorization : Design, train, and deploy models that automatically classify structured and unstructured documents into relevant categories, tags, and attributes. ● Topic Deduplication & Clustering : Build models that accurately identify when different documents or sources are discussing the same topics or events, across multiple sources and languages. ● AI Content Agents : Develop and iterate on AI agent pipelines that generate real-time content and insights for our clients, ensuring relevance, clarity, and brand voice. ● Scalable ML Deployments : Deploy and scale models and agent-based systems on Kubernetes clusters. Ensure high reliability, monitoring, and system scalability. ● Advanced Prompt Engineering : Utilize state-of-the-art prompt engineering techniques to boost model and AI agent performance and efficiency. Deeply understand and optimize prompt usage to balance quality, speed, and operational cost. ● Quality, Evaluations & Cost Oversight : Monitor and evaluate AI systems’ accuracy, reliability, and cost. Implement robust evaluation methods, diagnose production errors, and ensure continuous improvement efforts. ● Collaboration & Code Review : Mentor team members and review contributions from other engineers. Communicate complex ideas clearly with stakeholders at every level, across cultures and continents. ● Process Optimization : Continuously assess the reasoning behind your work—prioritizing features and improvements that drive concrete value for our pharma clients. What We’re Looking For: ● 4+ years of hands-on experience building ML/NLP models and deploying them at scale (preferably in document, content, or pharma-related domains) ● Deep expertise in NLP, text classification, semantic similarity, vector search, and large-scale data processing ● Proven experience with prompt engineering, Retrieval-Augmented Generation (RAG), and orchestration of AI agents (LangChain, LangGraph, etc.) ● Familiarity with deploying and monitoring ML applications in Kubernetes-based production environments ● Strong debugging and root-cause analysis skills for production systems—proactively identifying and fixing failures ● Excellent communicator—comfortable working in a distributed team and interacting with colleagues and clients across various time zones and seniority levels ● Experience reviewing code (PRs) and mentoring junior engineers ● Comfortable working under pressure and adapting rapidly to shifting priorities ● Growth Mindset : Demonstrated commitment to continuous learning and a strong desire to keep up with Agentic AI and the latest AI best practices Bonus Points If You Have: ● Prior experience working with global pharma or health data ● Demonstrated success building systems that monitor and analyze real-time document or content flows ● Hands-on experience with fine-tuning , supervised fine-tuning (SFT), RFHL (Reward Feedback Human Learning), Group-Related Policy Optimization (GRPO), or Reinforcement Learning methods ● Proficiency in multimodal AI or multilingual/translation technologies Why Atacana Group? ● Innovation : Work on the most pressing challenges at the intersection of healthcare, AI, and intelligence. ● Results-Driven Flexibility : We value outcomes, not time spent at a desk. Flexible hours—work how and where you’re most effective. ● 100% Remote/Global Team : Collaborate with passionate colleagues across four continents and 11+ countries. ● Learning Culture : We move fast but never stop learning. Accelerate your growth as part of a dynamic, ambitious team. Ready to make a direct impact on the future of pharma intelligence? We look forward to meeting you!

We’re hiring a Code Reviewer with deep Python expertise to review evaluations completed by data annotators assessing AI-generated Python code responses. Your role is to ensure that annotators follow strict quality guidelines related to instruction-following, factual correctness, and code functionality. Responsibilities Review and audit annotator evaluations of AI-generated Python code. Assess if the Python code follows the prompt instructions, is functionally correct, and secure. Validate code snippets using proof-of-work methodology. Identify inaccuracies in annotator ratings or explanations. Provide constructive feedback to maintain high annotation standards. Work within Project Atlas guidelines for evaluation integrity and consistency. Required Qualifications 5–7+ years of experience in Python development, QA, or code review. Strong knowledge of Python syntax, debugging, edge cases, and testing. Comfortable using code execution environments and testing tools. Excellent written communication and documentation skills. Experience working with structured QA or annotation workflows. English proficiency at B2, C1, C2, or Native level. Preferred Qualifications Experience in AI training, LLM evaluation, or model alignment. Familiarity with annotation platforms. Exposure to RLHF (Reinforcement Learning from Human Feedback) pipelines. Skills: python,reinforcement learning from human feedback,debugging,llm evaluation,testing,communication,qa,docker,model alignment,testing tools,ai-generated python code,annotation workflows,c2,code review,ai training,b2,code execution environments,rlhf

We're looking for a hands-on Computer Vision Engineer who thrives in fast-moving environments and loves building real-world, production-grade AI systems. If you enjoy working with video, visual data, cutting-edge ML models, and solving high-impact problems, we want to talk to you. This role sits at the intersection of deep learning, computer vision, and edge AI, building scalable models and intelligent systems that power our next-generation sports tech platform. Requirements: Strong command of Python and familiarity with C/C++ Experience with one or more deep learning frameworks: PyTorch, TensorFlow, Keras. Solid foundation in YOLO, Transformers, or OpenCV for real-time visual AI. Understanding of data preprocessing, feature engineering, and model evaluation using NumPy, Pandas, etc. Good grasp of computer vision, convolutional neural networks (CNNs), and object detection techniques. Exposure to video streaming workflows (e. g., GStreamer, FFmpeg, RTSP). Ability to write clean, modular, and efficient code. Experience deploying models in production, especially on GPU/edge devices. Interest in reinforcement learning, sports analytics, or real-time systems An undergraduate degree (Master's or PhD preferred) in Computer Science, Artificial Intelligence, or a related discipline is preferred. A strong academic background is a plus. Responsibilities: Design, train, and optimize deep learning models for real-time object detection, tracking, and video understanding. Implement and deploy AI models using frameworks like PyTorch, TensorFlow/Keras, and Transformers. Work with video and image datasets using OpenCV, YOLO, NumPy, Pandas, and visualization tools like Matplotlib. Collaborate with data engineers and edge teams to deploy models on real-time streaming pipelines. Optimize inference performance for edge devices (Jetson, T4 etc. ) and handle video ingestion workflows. Prototype new ideas rapidly, conduct A/B tests, and validate improvements in real-world scenarios. Document processes, communicate findings clearly, and contribute to our growing AI knowledge base. Job Type: Full-time Pay: ₹800,000.00 - ₹1,600,000.00 per year Schedule: Day shift Ability to commute/relocate: Saket, Delhi, Delhi: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Work Location: In person

Art and Craft knowledge is mandatory Candidates are preferred from Ludhiana, Punjab Female candidates preferred. Responsibilities Plan and implement age-appropriate learning activities that promote early childhood development Create a safe, clean, and stimulating classroom environment Foster positive relationships with children, parents, and staff Encourage language development, basic numeracy, motor skills, and social interaction Observe and assess each child’s progress and keep detailed records Manage daily routines including snack time, nap time, and toileting Maintain classroom discipline using positive reinforcement techniques Communicate regularly with parents regarding their child’s development and behavior Prepare materials, set up learning centers, and decorate the classroom Follow health, safety, and hygiene guidelines as per school or state regulations Participate in staff meetings, training, and school events Job Type: Full-time Pay: ₹9,000.00 - ₹18,000.00 per month Benefits: Provident Fund Schedule: Day shift Supplemental Pay: Yearly bonus Work Location: In person Application Deadline: 07/04/2025

Job Title: Machine Learning Developer – Quantitative Research Focus Experience Required: 5+ years (flexible for highly relevant profiles) Location: [Kurla] About the Role: We are seeking a highly skilled Machine Learning Developer with strong expertise in Mathematics, Statistics, and Quantitative/Qualitative Research . The ideal candidate will have prior experience in the financial sector —particularly with hedge funds, proprietary trading firms, quant desks, or asset management companies. This role demands a deep understanding of the mathematical foundations behind ML algorithms and the ability to apply them to real-world financial data and strategies. Key Responsibilities: Collaborate closely with the Research Head and Subject Matter Experts (SMEs) to: Deploy and test financial strategies. Identify promising research areas and evaluate relevant academic papers. Experiment with new models and techniques. Drive ML model development end-to-end: from conceptualization, data collection, and feature engineering to model training, evaluation, and deployment. Conduct in-depth quantitative and qualitative research in financial domains. Design and execute back-testing frameworks for trading strategies. Maintain thorough documentation of models, experiments, and research insights. Coordinate with the broader ML team for implementation and refinement of models. Publish whitepapers or research reports based on findings, where applicable. Required Skills & Qualifications: Minimum 5 years of hands-on experience in Machine Learning with a strong research orientation. Deep knowledge of mathematical and statistical concepts relevant to ML. Proven experience in quantitative or qualitative financial research. Proficiency in Python, R, or other ML-relevant programming languages. Strong understanding of ML algorithms (supervised, unsupervised, reinforcement learning, etc.) and their mathematical underpinnings. Familiarity with financial datasets, modeling tools, and industry-standard back-testing environments. Preferred Qualifications: Experience working in hedge funds, prop trading firms, quant desks, or asset management companies. M.Tech or Ph.D. in Computer Science, Mathematics, Statistics, Quantitative Finance, or a related discipline (preferred, not mandatory). Demonstrated mastery in the field through publications, open-source contributions, or impactful projects. Exposure to financial time series, risk modeling, alpha generation strategies, or portfolio optimization is a plus. Job Types: Full-time, Permanent Pay: ₹1,800,000.00 - ₹2,400,000.00 per year Benefits: Paid sick time Provident Fund Schedule: Day shift Fixed shift Application Question(s): What is your current CTC? What is your expected CTC? What is your Notice Period? Experience: Machine learning: 5 years (Preferred) Work Location: In person

Requisition ID: 8238 Bangalore, India Our mission at Enphase Energy is to advance a sustainable future for all. Today, our intelligent microinverters, which turn sunlight into an affordable, safe, reliable, and scalable source of energy, work with virtually every solar panel made, and when paired with our award-winning smart battery technology, we engineer one of the industry's best-performing clean energy systems. To date, we have installed more than 48 million microinverters on more than 2.5 million systems across 140 countries and well over 50 thousand homes use our energy storage products. Like our customers, our innovative teams are also worldwide, making Enphase Energy a truly global company. We are one of the fastest growing and most dynamic energy companies in the world. Nimble and acutely focused on developing ground-breaking solar energy management technology, each of our teams has a shared goal of creating a carbon-free future. Do you want to help change the world? Learn more about the role: For our Customer Experience team, we seek Hands-On Staff Data Scientist who can work on designing & implementing high quality scalable optimization-based applications and platforms, while providing technical leadership and mentoring to a small team of talented developers in agile environment. Your ability to take ownership of architecture, design, and implementation of maintainable, high-quality, and high-performing Machine Learning systems and Optimization applications is essential for success in this role. Provide hands-on technical expertise to design, engineer, deploy, and deliver highly scalable optimization-based applications. Drive improvements in technical architecture, standards, and processes. Drive engineering excellence while managing/mentoring talented team of developers in agile environment. Work closely with product management and other stakeholders for system design and delivery. Job Description: As an Optimization and AI/ML Expert, you will be responsible for developing and implementing advanced machine learning models, optimization algorithms, and analytical tools. You will leverage your expertise to solve complex business problems by using data-driven approaches and predictive modelling techniques. The ideal candidate will have a strong background in AI/ML, optimization, Electrical Engineering domain and applied mathematics, with a passion for designing efficient solutions to tackle large-scale, real-world challenges. Responsibilities: Optimization & AI/ML Model Development : Design, develop, and implement AI/ML models and optimization algorithms to address business challenges and improve decision-making. Data Analysis & Feature Engineering : Work with large datasets to preprocess, analyze, and engineer features for model development. Ensure data quality and integrity. Performance Improvement : Apply optimization techniques (e.g., linear programming, constraint programming, heuristic algorithms) to optimize business operations, resource allocation, and other key processes. Collaboration & Problem-Solving : Collaborate with cross-functional teams, including data engineers, business analysts, and domain experts, to identify problems and translate them into solvable AI/ML models. Research & Innovation : Stay updated on the latest trends in optimization, machine learning, and AI research. Evaluate and apply emerging technologies and techniques to enhance system performance. Model Evaluation & Tuning : Conduct model evaluation using appropriate metrics, tune hyperparameters, and ensure that models perform optimally in production environments. Documentation & Reporting : Document the methodology, processes, and results of AI/ML projects. Communicate findings to stakeholders and contribute to technical reports or presentations. Deployment & Monitoring : Work with engineering teams to deploy AI/ML models into production. Monitor model performance and provide ongoing support for scalability and robustness. Required Skills & Qualifications: Experience : 5-10 years of experience in Electrical engineering with specialization in AI/ML, optimization, and data science with a proven track record of applying these skills to real-world business challenges. Strong Analytical Skills : Expertise in quantitative analysis, applied mathematics, and optimization algorithms (e.g., integer programming, dynamic programming, convex optimization). Proficiency in Programming : Strong programming skills in Python, R, and/or MATLAB. Experience with libraries like TensorFlow, PyTorch, Scikit-learn, or similar. Machine Learning Expertise : Deep understanding of supervised and unsupervised learning, reinforcement learning, and model validation techniques. Familiarity with deep learning and neural networks is a plus. Optimization Knowledge : Solid knowledge of optimization techniques for solving complex resource allocation, scheduling, or routing problems. Data Handling & Analysis : Experience with big data technologies (Hadoop, Spark), data preprocessing, and feature engineering techniques. Problem-Solving Mindset : Ability to translate business problems into mathematical models and find creative solutions. Communication Skills : Strong written and verbal communication skills to effectively convey technical concepts to non-technical stakeholders. Advanced Degree : A Master's or Ph.D. in Computer Science, Mathematics, Engineering, Operations Research, or a related field is highly desirable. Preferred Qualifications: Experience in the deployment and scaling of AI/ML models in production environments. Knowledge of cloud platforms such as AWS, Google Cloud, or Azure. Familiarity with optimization software/tools like Gurobi, CPLEX, or other commercial solvers. Experience with reinforcement learning and optimization in dynamic or uncertain environments.

7 - 9 Years 1 Opening Bangalore Role description Who we are: At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 25 countries, we build for boundless impact—touching billions of lives in the process. Visit us at . You Are: We are seeking a skilled Lead II - Data Scientist to join our team. The Opportunity: B.E./ B. Tech / M. Tech/ MCA in computer science, artificial intelligence, or a related field 6+ years of IT experience with a min of 3+ years in Data Science (AI/ML) Strong programming skills in Python Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) Hands-on AI/ML modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/ML(Research Oriented). Expertise in most of the following areas: supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization. Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools. Building RAG application independently using available open source LLM models. Comfortable working in the cloud and high-performance computing environments (e.g., AWS/Azure/GCP, Databricks). Note: SLCA, we need person with both strong technical skills and communicate with stakeholders. What we believe: We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone to champion diversity and inclusion and to place people at the centre of everything we do. Humility: We will listen, learn, be empathetic and help selflessly in our interactions with everyone. Humanity: Through business, we will better the lives of those less fortunate than ourselves. Integrity: We honour our commitments and act with responsibility in all our relationships. Equal Employment Opportunity Statement UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. To support and promote the values of UST. Comply with all Company policies and procedures Skills AI/ML,Python,Framework About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

Core Responsibilities 1. Project Planning & Design Prepare engineering drawings and construction layouts. Perform site analysis, feasibility studies, and material selection. Work with design software (AutoCAD, STAAD Pro, Revit). 2. BBS (Bar Bending Schedule) Preparation Interpret structural drawings and prepare accurate BBS for reinforcement work. Calculate cutting lengths, bend shapes, bar counts, and weight. Coordinate with structural engineers and contractors for timely steel requirements. Ensure optimization to reduce wastage and improve cost-efficiency. 3. Site Supervision & Execution Oversee construction activities to ensure quality and adherence to plans. Monitor concrete pouring, shuttering, reinforcement placing, etc. Ensure BBS is properly implemented on-site by contractors and workers. 4. Estimation & Cost Management Prepare detailed quantity take-offs and cost estimates. Assist in creating BOQs and tender documents. Track material usage (including steel as per BBS) and manage project budgets. 5. Quality Control & Safety Conduct regular inspections to ensure compliance with quality standards. Enforce safety protocols and hazard mitigation. Maintain documentation and reporting of QA/QC activities. 6. Communication & Coordination Collaborate with architects, consultants, suppliers, and site teams. Coordinate timely material delivery based on construction progress and BBS needs. Report daily/weekly progress and resolve any site-related issues. 7. Regulatory Compliance Ensure work follows all local building codes and environmental regulations. Assist in obtaining permits and statutory clearances. Key Skills Required BBS preparation & steel reinforcement detailing AutoCAD, MS Excel (for BBS), STAAD Pro, Revit Quantity surveying and estimation Strong technical and analytical skills Communication, teamwork, and leadership Knowledge of IS codes, construction standards, and safety norms Educational Qualification: B-Tech or Diploma. Experience: Minimum 4 Years Salary: As per Industry Norms Job Types: Full-time, Permanent Pay: ₹10,591.64 - ₹44,975.34 per month Benefits: Health insurance Paid sick time Provident Fund Schedule: Fixed shift Supplemental Pay: Yearly bonus Ability to commute/relocate: Kishanganj, West Bengal: Reliably commute or planning to relocate before starting work (Required) Application Question(s): What is the Notice Period? Education: Bachelor's (Required) Experience: Civil engineering: 4 years (Required) Work Location: In person Application Deadline: 10/07/2025

Hello! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. 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 we gather into valuable insights for our customers. Join us and be part of a team that's turning dreams 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 The technology that once promised to simplify patient care has brought more issues than anyone ever anticipated. At Innovaccer, we defeat this beast by making full use of all the data Healthcare has worked so hard to collect, and replacing long-standing problems with ideal solutions. Data is our bread and butter for innovation. We are looking for a Senior AI Engineer who understands healthcare data and can leverage the data to build algorithms to personalize treatments based on the clinical and behavioral history of patients. We are looking for a superstar who will 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 to 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, and 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. 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 and at least 1+ year in building generative AI pipelines, agents, and RAG systems. Strong Python programming skills with enterprise application development and optimization. Experience with: o LLMs, prompt engineering, and fine-tuning SLMs. o Frameworks like LangChain, CrewAI, or Autogen (at least one is a must). o Vector databases (e.g., FAISS, ChromaDB). o Embedding models and Retrieval-Augmented Generation (RAG) design.  Familiarity with at least one ML platform (Databricks, Azure ML, SageMaker). Bonus: Experience with Docker, Kubernetes, AWS/Azure, Snowflake, and healthcare data systems Preferred Skills Python – building scalable, performant AI applications. Experience with reinforcement learning and multi-agent systems.  LLM optimization and deployment at scale. Familiarity with healthcare data and AI use cases. We offer competitive benefits to set you up for success in and outside of work. Here’s What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days. Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the oƯice and let your colleagues become their friends, too. *Noida oƯice only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where and how we work Our Noida oƯice is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to eƯiciently carry out our tasks and collaborate eƯectively within our team. Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer Inc. is the data platform that accelerates innovation. The Innovaccer platform unifies patient data across systems and care settings and empowers healthcare organizations with scalable, modern applications that improve clinical, financial, operational, and experiential outcomes. Innovaccer’s EHR-agnostic solutions have been deployed across more than 1,600 hospitals and clinics in the US, enabling care delivery transformation for more than 96,000 clinicians, and helping providers work collaboratively with payers and life sciences companies. Innovaccer has helped its customers unify health records for more than 54 million people and generate over $1.5 billion in cumulative cost savings. The Innovaccer platform is the #1 rated Best-in-KLAS data and analytics platform by KLAS, and the #1 rated population health technology platform by Black Book. For more information, please visit innovaccer.com. Check us out on YouTube, Glassdoor, LinkedIn, and innovaccer.com.

Job Title: Applied AI Engineer – Fresher (IIT/NIT Graduates Only) Job Type: Full-Time Experience: 0–1 Year Location: Vapi Gujarat Role Overview: We are seeking high-potential graduates from IITs or NITs for the role of Applied AI Engineer (Fresher) to join our cutting-edge AI Engineering team. This opportunity is ideal for someone with a solid foundation in Data Structures & Algorithms , strong problem-solving skills, and a passion for AI, machine learning, and deep learning technologies. Please note: A minimum 3-year commitment with the company is required for this position. Key Responsibilities: Collaborate with senior engineers and data scientists to design and implement AI-driven solutions. Develop, optimize, and deploy machine learning and deep learning models. Translate abstract AI challenges into efficient, scalable, and production-ready code. Contribute to data preprocessing, feature engineering, and model evaluation tasks. Participate in technical discussions, code reviews, and performance tuning. Explore and experiment with state-of-the-art AI frameworks, architectures, and research trends. Maintain clear technical documentation for models, codebases, and system designs. Required Skills: Exceptional problem-solving abilities with a strong command of Data Structures and Algorithms . Proficiency in Python and its core libraries (NumPy, Pandas, scikit-learn). Fundamental understanding of machine learning concepts , including model training, evaluation, and overfitting. Exposure to deep learning frameworks such as TensorFlow or PyTorch . Good grasp of object-oriented programming and software engineering principles. Strong analytical, logical thinking, and mathematical skills. Demonstrated passion for AI and a continuous learning mindset. Preferred Qualifications (Nice to Have): Hands-on experience with AI/ML projects through internships, research, or hackathons. Familiarity with Reinforcement Learning , NLP , or Computer Vision . Knowledge of Git , Docker , and experience with cloud platforms (AWS, GCP, or Azure). Open-source contributions or published research in AI/ML domains. Educational Qualifications: B.E./B.Tech/M.Tech in Computer Science , Artificial Intelligence , Machine Learning , or Data Science from IITs or NITs only . Strong academic record with a demonstrated interest in AI/ML through coursework, projects, or independent initiatives. How to Apply: Interested candidates can share their CVs at jignesh.pandoriya@merillife.com Join us and help shape the future of intelligent systems—where your innovation will directly impact lives.

The University of Hong Kong Apply now Ref.: 532533 Work type: Full-time Department: School of Public Health (22400) Categories: Research Staff Hong Kong Senior Research Assistant in the Division of Epidemiology and Biostatistics, School of Public Health (Ref.: 532533) , to commence on 1 November 2025 or thereafter, on a one-year temporary term contract, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants Should Possess a Master's degree or above in Computer Science, Computational Linguistics, Machine Learning, Natural Language Processing (NLP), Statistics, or a related discipline; strong programming skills in Python, R, Java, or C/C++ are essential, along with at least 1 year’s post-qualification experience in using relevant libraries and frameworks (TensorFlow, PyTorch, scikit-learn) and environments (e.g. Ubuntu, BRAT); extensive experience with deep learning architectures, machine learning techniques, statistical modelling, and prompt engineering, applied to healthcare-oriented NLP tasks - including text classification, named entity recognition, text generation; and a strong track record of working with EHR data and developing NLP applications for lupus-related research. Responsibilities The appointee will contribute to research projects at the intersection of natural language processing (NLP) and clinical medicine. Key responsibilities include: applying regex and related techniques for data deanonymization and text pre-processing; selecting diverse, representative samples from sparse populations; designing and developing language model-based systems for assisting annotators in annotating lupus-related clinical features; working with electronic health records (EHRs) and other clinical documents to extract meaningful information from unstructured text (e.g. clinical notes, discharge summaries); implementing, evaluating and deploying NLP-based scoring systems for real-world clinical notes for the lupus disease; prompting and training large language models (LLMs) through supervised fine-tuning or reinforcement learning techniques; preparing project plans, IRB applications, and supporting documentations; coordinating team communication, organizing meetings, and recruiting and managing annotators; and collaborating with multidisciplinary teams, including clinicians, data scientists, software engineers, and healthcare stakeholders, to translate clinical and research needs into technical solutions. Enquiries about the duties of the post should be sent to Ms Audrey Ho at audreyh@hku.hk. Information about the School can be obtained at https://sph.hku.hk/. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date CV. Review of applications will start as soon as possible and continue until 3 October 2025 , or until the post is filled, whichever is earlier. Advertised: Jul 4, 2025 (HK Time) Applications close: Oct 3, 2025 (HK Time) Back to search results Apply now Whatsapp Facebook LinkedIn Email App

Site Supervision, Finishing work in high rise residential & commercial project, Team Management, Coordinate with architects, contractors & Store executive. Project Scheduling for our project in GIFT City.

Core Responsibilities 1. Project Planning & Design Prepare engineering drawings and construction layouts. Perform site analysis, feasibility studies, and material selection. Work with design software (AutoCAD, STAAD Pro, Revit). 2. BBS (Bar Bending Schedule) Preparation Interpret structural drawings and prepare accurate BBS for reinforcement work. Calculate cutting lengths, bend shapes, bar counts, and weight. Coordinate with structural engineers and contractors for timely steel requirements. Ensure optimization to reduce wastage and improve cost-efficiency. 3. Site Supervision & Execution Oversee construction activities to ensure quality and adherence to plans. Monitor concrete pouring, shuttering, reinforcement placing, etc. Ensure BBS is properly implemented on-site by contractors and workers. 4. Estimation & Cost Management Prepare detailed quantity take-offs and cost estimates. Assist in creating BOQs and tender documents. Track material usage (including steel as per BBS) and manage project budgets. 5. Quality Control & Safety Conduct regular inspections to ensure compliance with quality standards. Enforce safety protocols and hazard mitigation. Maintain documentation and reporting of QA/QC activities. 6. Communication & Coordination Collaborate with architects, consultants, suppliers, and site teams. Coordinate timely material delivery based on construction progress and BBS needs. Report daily/weekly progress and resolve any site-related issues. 7. Regulatory Compliance Ensure work follows all local building codes and environmental regulations. Assist in obtaining permits and statutory clearances. Key Skills Required BBS preparation & steel reinforcement detailing AutoCAD, MS Excel (for BBS), STAAD Pro, Revit Quantity surveying and estimation Strong technical and analytical skills Communication, teamwork, and leadership Knowledge of IS codes, construction standards, and safety norms Educational Qualification: B-Tech or Diploma. Experience: Minimum 4 Years Salary: As per Industry Norms Job Types: Full-time, Permanent Pay: ₹10,591.64 - ₹44,975.34 per month Benefits: Health insurance Paid sick time Provident Fund Schedule: Fixed shift Supplemental Pay: Yearly bonus Ability to commute/relocate: Kishanganj, West Bengal: Reliably commute or planning to relocate before starting work (Required) Application Question(s): What is the Notice Period? Education: Bachelor's (Required) Experience: Civil engineering: 4 years (Required) Work Location: In person Application Deadline: 10/07/2025

About Pocket FM It is an amazing time to join Pocket FM as we continue shaping the future of audio entertainment both in India and beyond. We are front-ending the category creation for the audio OTT landscape and building the largest repository of audio streaming content across formats like audio series, audiobooks and podcasts, through our unique storytelling approach. We are reimagining the traditional audio pattern to build an internet- scale platform and bring together communities to share stories and spread knowledge. Our mission is to give voice to stories and wisdom. Pocket FM has grown to 80 million MAL (monthly active listeners), spending an average of over 110 minutes every day, while the total monthly audio streaming on the app counts to over 4 billion minutes. We are a Series C funded start-up backed by some of the marquee investors like Naver, Goodwater Capital, Lightspeed, Tanglin Venture Partners and others. Summary We are seeking skilled and experienced Data Scientists to join our team in multiple areas. As a Data Scientist, you will play a crucial role in optimizing our recommendation systems and content strategy for higher user retention and engagement. You will leverage your expertise in machine learning, recommender systems, data analysis, and content understanding to determine the ideal content to launch, when to launch it, and what format it should take, when to recommend and where to recommend. Your insights will be instrumental in enhancing user satisfaction and driving overall business success. You will work very closely with the back-end teams, content teams, product and engineering teams and will be responsible for driving impact. Some of the sub-areas that you could be working on are listed Systems: Improve the homepage user experience, autoplay experience using state-of-the-art recommendation techniques and by discovering problems specific to the PocketFM platform and solving them. What you'll do Content Analysis: Utilize advanced data analysis techniques and machine learning algorithms to analyze the performance of existing content and identify trends and patterns that contribute to higher retention and engagement rates. Predictive Modeling: Develop predictive models that can accurately forecast the potential impact of new content releases on user behavior, retention, and satisfaction and use them for content and recommendation use cases. Content Optimization: Collaborate with content creators, product managers, and marketing teams to optimize the content release strategy. Recommend appropriate content types, formats, and timing to maximize user engagement. A/B Testing: Plan, design, and analyze A/B tests to evaluate the effectiveness of different content variations/recommendations and make data-driven decisions on content improvements. Stay up-to-date with the latest advancements in recommender systems, machine learning, and content analytics. Proactively propose and implement innovative approaches to improve content. Qualifications: Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Master's or Ph.D. is a plus. Experience: Minimum of 3 years of experience in data science or a related field with a focus on recommendation systems, content analysis, user behavior modeling, and predictive analytics. Machine Learning Expertise: For recommendation based roles, you need to have experience in the areas of recommendation systems, learning to rank, evaluation, exploration and exploitation, reinforcement learning and A/B testing. We look for strong ML basics both in traditional ML methods such as logistic regression, gradient boosted decision trees as well as neural networks. Experience with deep learning frameworks such as tensorflow, pytorch, and other ML tools such as scikitlearn, XGBoost etc. For content science based roles, experience in content analysis using large language models and other NLP techniques is preferred. Programming Skills: Proficiency in programming languages such as Python, R, or similar for data analysis, manipulation, and modeling. Big Data Tools: Familiarity with big data processing tools like Hadoop, Spark, SQL or similar is a plus. Communication Skills: Excellent communication and presentation skills, with the ability to effectively convey complex data-driven insights to both technical and non-technical stakeholders. Analytical Thinking: Strong problem-solving skills and a keen eye for detail, with the ability to draw meaningful conclusions from data. Team Player: Demonstrated ability to work collaboratively in a team-oriented environment. • Passion for Content and User Experience: A genuine interest in content creation, user experience, and understanding what engages and delights users. Preferred Additional Skills: Experience in the entertainment, media, or digital content industry is a plus. • Familiarity with natural language processing (NLP) techniques for content analysis. • Knowledge of cloud-based data platforms such as AWS, Google Cloud, or Azure. Join our team and help shape an outstanding content experience for our users. If you are passionate about recommender systems, content analytics, machine learning, we would love to hear from you. Apply now and be part of our exciting journey towards content excellence!

About Conscient Sports: Conscient Sports is a dynamic and inclusive grassroots sports organization dedicated to promoting a love for sports and building a vibrant sporting community. As part of the reputed Conscient Group, known for its presence in infrastructure and education, Conscient Sports focuses on nurturing young talent and instilling sportsmanship at the grassroots level. Please find us at www.conscientsports.com. https://www.linkedin.com/company/conscient-sports-llp Minimum Requirements (Skills & Competencies): Coaching license is a must, and it could be any (NIS, BCCI, or ICC). Playing experience in any BCCI Trophy (U-16, U-19 state camps) or University/School national is a must. Bachelor’s degree in any field. A Master’s degree is a plus. Exceptional communication, negotiation, and relationship-building skills. Ability to work in a fast-paced environment and manage multiple batches simultaneously. Creative thinking and problem-solving abilities. Key Responsibilities: Develop and implement comprehensive training programs tailored to the needs and goals of individual athletes or teams Provide instruction and demonstrate proper techniques for skills development, conditioning, and game strategy Motivate and inspire athletes to perform at their best through positive reinforcement, encouragement, and constructive feedback Evaluate athletes' progress and performance during training sessions and competitions, and adjust training plans as needed Collaborate with other coaches, athletic trainers, and support staff to ensure a holistic approach to athlete development Foster a positive and inclusive team culture that promotes sportsmanship, teamwork, and respect for others Communicate effectively with athletes, parents, and stakeholders to provide updates on training schedules, performance goals, and other relevant information Maintain accurate records of attendance, performance evaluations, and other administrative tasks related to coaching responsibilities Stay current with trends, best practices, and advancements in coaching techniques and sports science Uphold ethical standards and promote the health, safety, and well-being of athletes at all times.

Job Title: AI & Machine Learning Trainer (4+ Years Real-Time Experience) Location: Chennai Job Type: Full-Time / Part-Time Experience Required: Minimum 4 years of real-time experience in AI & Machine Learning Training Mode: Online & Offline (Both) Job Summary: We are seeking a passionate and experienced AI with Machine Learning Trainer to deliver hands-on training to aspiring professionals and students. The ideal candidate must have in-depth knowledge of real-time industry applications and be able to translate complex AI/ML concepts into simple, engaging training sessions. Roles & Responsibilities: Design and deliver structured training programs in Artificial Intelligence, Machine Learning, and Deep Learning . Explain real-time industry projects and guide learners in building practical models. Provide mentoring, doubt clarification, and technical guidance throughout the training duration. Develop and update course content, case studies, and project-based learning modules. Evaluate trainee progress through assessments and provide constructive feedback. Stay updated with the latest advancements in AI/ML technologies and incorporate them into the curriculum. Conduct mock interviews, career guidance sessions, and project evaluations for trainees. Key Skills Required: Proficiency in Python , NumPy , Pandas , Scikit-learn , Matplotlib , Seaborn . Strong knowledge of ML algorithms : Linear/Logistic Regression, Decision Trees, Random Forest, SVM, KNN, etc. Experience with Deep Learning frameworks such as TensorFlow , Keras , or PyTorch . Hands-on experience in NLP , Computer Vision , or Reinforcement Learning (preferred). Experience with tools like Jupyter Notebook , Google Colab , Git/GitHub . Familiarity with real-time deployment using Flask/Django, APIs, and cloud platforms (AWS/GCP/Azure) is a plus. Strong presentation and communication skills with the ability to simplify complex topics. Eligibility Criteria: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. 4+ years of industry experience in AI/ML domain. Prior experience in training, mentoring, or corporate workshops is preferred. Kindly share your resume with the given WhatsApp number-6374808456