2025 Reinforcement Jobs - Page 3

Description Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities Become a subject matter expert on one or more services Provide support activities for these services and regularly work with development teams to establish and improve service support Operate with guidance from management and drive issues to resolution Understand the business logic and architecture of supported services to regularly resolve undocumented trouble tickets Be able to read and understand complex application code and make approved code fixes to resolve support issues Provide mentoring, training, documentation, and tools to other Support Engineers to enable them to perform support activities Regularly contribute to the creation and improvement of all support documentation Perform code builds and deployments communicating status regularly before, during, and after each deployment Create and interpret metrics that measure support success and service performance Help develop and refine operational policies and procedures used by teams and internal customers Participate fully and constructively in the planning of team’s work Have the ability to write simple and efficient tools to improve operational efficiency Learn to contribute to design and development of support tools using software engineering best practices Mentor other Support Engineers and are involved with interviewing and onboarding new team members Basic Qualifications 2+ years of software development, or 2+ years of technical support experience Experience scripting in modern program languages Experience troubleshooting and debugging technical systems Preferred Qualifications Knowledge of web services, distributed systems, and web application development Experience troubleshooting & maintaining hardware & software RAID Experience with REST web services, XML, JSON Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 12 SEZ Job ID: A3047884

We are searching for a dedicated Home Tutor for 6th and 2nd 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 - ₹40000 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.

Company Description NielsenIQ is a consumer intelligence company that delivers the Full View™, the world’s most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. We are putting the brightest and most dedicated minds together to accelerate progress. Our diversity brings out the best in each other so we can leave a lasting legacy on the work that we do and the people that we do it with. NielsenIQ offers a range of products and services that leverage Machine Learning and Artificial Intelligence to provide insights into consumer behavior and market trends. This position opens the opportunity to apply the latest state of the art in AI/ML and data science to global and key strategic projects. Job Description NielsenIQ’s Innovation Team is growing our AI capabilities and is now looking to hire an AI/ML Data Scientist in India (Pune). for the Core Models team, a multidisciplinary team of researchers working on different areas of AI such as recommender systems, extreme classifiers, Large Language Models (LLMs), among others. As part of this team, you will stay up to date with the latest research in AI (with special focus on NLP, but also on Computer Vision and other AI related fields), implement current state-of-the-art algorithms in real-world and large-scale challenging problems as well as proposing novel ideas. Your main focus will be creating high-quality datasets for training and fine-tuning Custom Models for the company, LLMs and Recommender Systems, and training them to analyze the impact of the different versions of the data on model’s performance. The selected candidate will be responsible for designing and implementing scalable data pipelines and strategies to support all stages of the R&D process, e.g., fine-tuning or alignment through reinforcement learning. The results of the word will be critical to ensure the robustness, safety, and alignment of our AI models. You will also have the opportunity to produce scientific content such as patents or conference/journal papers. Job Responsibilities: Investigate, develop, and apply data pipelines with minimal technical supervision, always ensuring a combination of simplicity, scalability, reproducibility and maintainability within the ML solutions and source code. Train Deep Learning models (Transformer models) and analyze the impact of different versions of the data. Perform feasibility studies and analyze data to determine the most appropriate solution. Drive innovation and proactively contribute to our work on custom Large Language Models. Be able to communicate results to tech and non-tech audiences. To work as a member of a team, encouraging team building, motivation and cultivating effective team relations. Qualifications Required Education, Skills and Experience: Master's degree in computer science or an equivalent numerate discipline. At least 5+ years’ experience with evidence in a related field. Strong background in computer science, linear algebra, probability. Solid experience in Machine Learning and Deep Learning (special focus on Transformers). Proven experience in Natural Language Processing and Large Language Models. Proven experience building scalable data pipelines and ETLs. Able to understand scientific papers and develop ideas into executable code. Proven track record of innovation in creating novel algorithms and publishing the results in AI conferences/journals. Languages and technologies: Python, SQL, PySpark, Databricks, Pandas/Polars, PyArrow, PyTorch, Huggingface, git. Proactive attitude, constructive, intellectual curiosity, and persistence to find answers to questions. A proficient level of interpersonal and communication skills (English level B2 minimum). Keen to work as part of a diverse team of international colleagues and in a global inclusive culture. Additional Information: Preferred Education, Skills and Experience: PhD in science (NLP/Data Science is preferred) and specialized courses in one of the above-mentioned fields. Experience working with large real-world datasets and scalable ML solutions. Previous experience in e-commerce, retail and/or FMCG/Consumer Insight business. Agile methodologies development (SCRUM or Scale Agile). Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities Role : Senior Associate Exp : 3-6 Years Location: Mumbai Job Description: Candidate with 3-5 years of exp and a strong background in machine learning, technical expertise, and domain knowledge in Banking, Financial Services, and Insurance (BFSI). Experience with Generative AI (GenAI) is a must have. Key Responsibilities: Collaborate with clients to understand their business needs and provide data-driven solutions. Develop and implement machine learning models to solve complex business problems. Analyze large datasets to extract actionable insights and drive decision-making. Present findings and recommendations to stakeholders in a clear and concise manner. Stay updated with the latest trends and advancements in data science and machine learning. GenAI Experience: Generative AI (GenAI) experience, including working with models like GPT, BERT, and other transformer-based architectures Ability to leverage GenAI for tasks such as text generation, summarization, and conversational AI Experience in developing and deploying GenAI solutions to enhance business processes and customer experiences Technical Skills: Programming Languages: Proficiency in Python, R, and SQL for data manipulation, analysis, and model development. Machine Learning Frameworks: Extensive experience with TensorFlow, PyTorch, and Scikit-learn for building and deploying models. Data Visualization Tools: Strong knowledge of Tableau, Power BI, and Matplotlib to create insightful visualizations. Cloud Platforms: Expertise in AWS, Azure, and Google Cloud for scalable and efficient data solutions. Database Management: Proficiency in SQL and NoSQL databases for data storage and retrieval. Version Control: Experience with Git for collaborative development and code management. APIs and Web Services: Ability to integrate and utilize APIs for data access and model deployment. Machine Learning algorithms: Supervised and Unsupervised Learning Regression Analysis Classification Techniques Clustering Algorithms Natural Language Processing (NLP) Time Series Analysis Deep Learning Reinforcement Learning Qualifications: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field 3-5 years of relevant experience in data science and machine learning Strong analytical and problem-solving skills Excellent communication and presentation abilities Ability to work independently and as part of a team Mandatory Skill Sets GenAI/BFSI/ Data Visualization Preferred Skill Sets GenAI/ BFSI / Data Visualization Years Of Experience Required 3-6 Years Education Qualification B.E.(B.Tech)/M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Up to 40% Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role This position will join the Enterprise Data and AI team that supports all brands in the Warner Bros umbrella including WB films in theatrical and home entertainment, DC studios, Consumer Products, games, etc. The ideal candidate is a subject matter expert in data science with exposure to predictive modeling, forecasting, recommendation engines and data analytics. This person will build data pipelines, apply statistical modeling and machine learning, and deliver meaningful insights about customers, products and business strategy WBD to drive data-based decisions Responsibilities As a Staff Data Scientist, you will play a critical role in advancing data-driven solutions to complex business challenges, influencing data strategy efforts for WBD Businesses. The responsibilities include: Analyze complex, high volumes of data from various sources using various tools and data analytics techniques. Partner with stakeholders to understand business questions and provide answers using the most appropriate mathematical techniques. Model Development and Implementation: Design, develop, and implement statistical models, predictive models and machine learning algorithms that inform strategic decisions across various business units. Exploratory Data Analysis: Utilize exploratory data analysis techniques to identify and investigate new opportunities through innovative analytical and engineering methods. Advanced Analytics Solutions: Collaborate with Product and Business stakeholders to understand business challenges and develop sophisticated analytical solutions. Data Automation: Advance automation initiatives that reduce the time spent on data preparation, enabling more focus on strategic analysis. Innovative Frameworks Construction: Develop and enhance frameworks that improve productivity and are intuitive for adoption across other data teams and be abreast with innovative machine learning techniques (e.g., deep learning, reinforcement learning, ensemble methods) and emerging AI technologies to stay ahead of industry trends. Collaborate with data engineering teams to architect and scale robust, efficient data pipelines capable of handling large, complex datasets, ensuring the smooth and automated flow of data from raw collection to insights generation. Deployment of machine learning models into production environments, collaborating with DevOps and engineering teams to ensure smooth integration and scalability. Quality Assurance: Implement robust systems to detect, alert, and rectify data anomalies. Qualifications & Experiences Bachelor’s degree, MS, or greater in Computer/Data Science, Engineering, Mathematics, Statistics, or related quantitative discipline. 8+ years relevant experience in Data Science. Expertise in a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, random forests, deep learning etc.) and experience with applications of these techniques. Expertise in advanced statistical techniques and concepts (regressions, statistical tests etc.) and experience with application of these tools. A demonstrated track record of utilizing data science to solve business problems in a professional environment. Expertise in SQL and either Python or R, including experience with application deployment packages like R Streamlit or Shiny. Experience with database technologies such as Databricks, Snowflake, and others. Familiarity with BI tools (Power BI, Looker, Tableau) and experience managing workflows in an Agile environment. Strong analytical and problem-solving abilities. Excellent communication skills to effectively convey complex data-driven insights to stakeholders. High attention to detail and capability to work independently in managing multiple priorities under tight deadlines. Proficiency in big data technologies (e.g., Spark, Kafka, Hive). Experience working in a cloud environment (AWS, Azure, GCP) to facilitate data solutions. Ability to collaborate effectively with business partners and develop and maintain productive professional relationships. Experience with adhering to established data management practices and standards. Ability to communicate to all levels of business, prioritize and manage assignments to meet deadlines and establish strong relationships. Interest in movies, games, and comics is a plus. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done. There’s another option. Freshworks. With a fresh vision for how the world works. At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world. Fresh vision. Real impact. Come build it with us. Job Description Team Overview The Winning AI Home team, part of Freshworks' SaaS@scale mothership BU - Cloud Engineering, is seeking a highly motivated and skilled AI Applications Engineer. This role is pivotal in driving the development and deployment of cutting-edge AI solutions within our product ecosystem. Role Description We are looking for an AI Applications Engineer (IC2) with a strong full-stack background who deeply understands Large Language Models (LLMs) and the nuances between Generative AI (GenAI), Agentic AI, and AI Agents. The ideal candidate will have hands-on experience building AI applications using Agentic frameworks and possess a solid understanding of both front-end and back-end development. Responsibilities Design, develop, and deploy AI applications leveraging LLMs and Agentic frameworks. Implement and optimize Retrieval-Augmented Generation (RAG) systems to enhance LLM accuracy and contextual understanding. Develop and deploy AI Agents for multi-step reasoning and automation of complex tasks. Fine-tune pre-trained models for specific use cases and improve application performance. Collaborate with cross-functional teams to integrate AI solutions into existing products. Conduct performance benchmarking and evaluation of AI applications using metrics like groundedness, correctness, and hallucination. Ensure Responsible AI principles are integrated throughout the development lifecycle. Maintain and troubleshoot AI infrastructure on cloud platforms. Qualifications Experience : 3-7 Years AI Expertise - Strong understanding of LLMs, GenAI, Agentic AI, and AI Agents.- Experience with Agentic frameworks such as LangChain, LangGraph, and CrewAI.- Proficiency in implementing and optimizing Retrieval-Augmented Generation (RAG) systems.- Experience in developing and deploying AI Agents.- Demonstrated ability in fine-tuning pre-trained models. Programming & Development - Proficiency in Python and TypeScript/Node.js.- Good fundamentals in databases for persistent and cache requirements.- Experience with performance benchmarking and debugging. Cloud & Monitoring - Strong understanding of cloud platforms (AWS, Azure, or GCP) for deploying and managing AI infrastructure.- Experience with monitoring tools such as Prometheus and Grafana. Evaluation & Best Practices - Knowledge of Vibe coding intricacies.- Ability to evaluate AI Applications using metrics like groundedness, correctness, hallucinations, and Responsible AI.- Familiarity with Reinforcement Learning concepts and applications. Additional Information At Freshworks, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business.

load_list_page(event)"> Job listing Job details Job Information Industry Retail Date Opened 07/29/2025 Salary 22000 to 27000 Job Type Full time Work Experience 1-3 years City Karnataka & Telangana State/Province Karnataka Country India Zip/Postal Code 560048 Job Description We are seeking a dynamic and motivated Retail Sales Trainer to join our Training & Development team. The ideal candidate will be responsible for conducting on-field store training, evaluating staff performance, organizing training sessions for new joiners and existing staff, and generating regular activity reports. This role requires flexibility to travel and a proactive approach to developing store-level competencies. Key Responsibilities *On-Field Store Training & Evaluation* Conduct hands-on training sessions directly in stores for front-line staff. Assess and evaluate in-store team performance against training objectives and SOPs. Identify knowledge or skill gaps and provide immediate coaching. *General Training Sessions* Design and deliver scheduled training sessions on customer service, sales techniques, product knowledge, and operations. Update training materials regularly based on operational and product updates. *New Joiners Training* Conduct induction and onboarding programs for new hires. Ensure new employees understand company values, policies, systems, and retail expectations. Monitor and support their early performance to ensure smooth integration. *Store Visits & Travel* Be open and willing to travel to different store locations as needed. Provide support to underperforming stores or newly opened branches. Schedule regular follow-up visits for on-site reinforcement training. *Staff Evaluation* Perform periodic evaluations of store employees based on pre-defined KPIs. Provide feedback to store managers and HR based on training impact and staff growth. Contribute to succession planning by identifying high-potential employees. *Daily Activity & Reporting* Maintain detailed records of training sessions, attendance, feedback, and outcomes. Generate and submit daily/weekly reports on training activities and store observations. Use reports to highlight areas for improvement and suggest actionable plans. Benefits ESI TA PF Health Insurance check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

We are Hiring 3D Rebar Detailing Qualification Diploma / B.E. / B.Tech in Civil Engineering or related field. Certification or training in Tekla Structures / Revit / AutoCAD (preferred). Knowledge of reinforcement detailing standards (ACI, BS, AS, IS, etc.). Strong understanding of construction drawings and structural systems. Proficient in Microsoft Office tools (Excel, Word). Good communication and documentation skills. Roles & Responsibilities 1. Detailer (1-3 Yrs) Create accurate 3D rebar models using software like Tekla Structures, Revit, or CADs RC. Extract and prepare Bar Bending Schedules (BBS), shop drawings, and placement drawings. Interpret structural and architectural drawings for rebar detailing. Ensure compliance with industry standards (ACI, BS, Eurocode, etc.). Coordinate with engineering teams for technical clarifications (RFIs). Meet project deadlines with attention to detail and modeling accuracy. 2. Checker (3-6 Yrs) Review and verify 3D models and 2D drawings prepared by detailers. Check BBS accuracy and conformity with design and client specifications. Ensure error-free shop drawings before client submission. Provide feedback and corrections to the detailing team. Conduct quality assurance audits and documentation. Maintain version control and drawing revision tracking. 3. Team Leader (6- 10+ Yrs) Manage and lead the detailing team to deliver projects on time and within quality standards. Allocate tasks, monitor progress, and ensure team productivity. Coordinate with clients, project managers, and design engineers. Implement best practices and workflow optimization. Conduct training and mentoring for junior detailers and checkers. Handle project planning, reporting, and technical escalations. To join our team Send your CV to hr@preciserebar.com Or apply through this link https://lnkd.in/g-ZVTxhQ For more details Call WhatsApp HR : +91 82201 55527 Job Types: Full-time, Permanent Pay: From ₹20,000.00 per month Benefits: Provident Fund Experience: 3D Rebar Detailer: 1 year (Required) Location: Salem, Tamil Nadu (Required) Work Location: In person

About FX Wellness & Sports Tech: FX Wellness & Sports Tech is committed to empowering individuals to achieve their fitness goals through personalized training programs and state-of-the-art equipment. Job Summary: As a Female Fitness Trainer specializing in Strength and Conditioning at FX Wellness & Sports Tech, you will lead and motivate clients to optimize their physical performance and achieve their fitness objectives. Design and implement tailored strength training and conditioning programs that cater to the unique needs and goals of female clients. Empower individuals to build strength, improve endurance, and enhance overall health and well-being. Key Responsibilities: Conduct comprehensive fitness assessments to evaluate clients' fitness levels, goals, and any specific considerations. Design individualized strength and conditioning programs that focus on improving muscular strength, endurance, and flexibility. Provide hands-on instruction and guidance during training sessions, ensuring proper form and technique. Motivate and inspire clients to push their limits and achieve their fitness goals through positive reinforcement and encouragement. Monitor clients' progress, adjust training programs as needed, and provide ongoing support and motivation. Educate clients on the principles of strength training, nutrition, and recovery to support their overall fitness journey. Foster a supportive and inclusive training environment that empowers women to embrace their strength and athleticism. Qualifications: Certified Personal Trainer with specialization in strength and conditioning. Proven experience working with female clients in a fitness training capacity. Strong knowledge of strength training principles, exercise physiology, and nutrition. Excellent communication and interpersonal skills, with a passion for empowering women through fitness. CPR and First Aid certification preferred. Job Type: Full-time Pay: ₹10,000.00 - ₹15,000.00 per month Benefits: Paid time off Schedule: Evening shift Morning shift Supplemental Pay: Commission pay Performance bonus Education: Bachelor's (Preferred) Experience: total work: 1 year (Preferred) Fitness Trainer: 1 year (Preferred) Weight Training: 1 year (Preferred) Strength Training: 1 year (Preferred) Ability to Relocate: Ernakulam, Kerala: Relocate before starting work (Preferred) Work Location: In person Job Type: Full-time Pay: ₹10,000.00 - ₹20,000.00 per month Schedule: Day shift Supplemental Pay: Commission pay Performance bonus Work Location: In person Job Type: Full-time Pay: ₹12,000.00 - ₹20,000.00 per month Schedule: Day shift Work Location: In person

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role : As the Director ML Engineering & Automation, you will lead a dynamic team at the forefront of transforming the Media & Entertainment industry. In this high-impact role, you will be responsible for driving the strategic direction and execution of ML and AI solutions to enhance content personalization, automate workflows, and provide innovative, data-driven experiences. You will work closely with cross-functional teams, including Data Scientists, Software Engineers, and Product Managers, to deliver cutting-edge solutions that fuel business growth and deliver the next generation of entertainment experiences. This is an exciting opportunity to shape the future of entertainment through AI-driven innovation. In this leadership role, you will have the opportunity to build and scale a world-class ML engineering team, while leveraging your expertise to solve some of the most complex and exciting challenges in the industry. This role combines technical excellence, strategic vision, and team leadership to make a lasting impact on the company's mission. Your Role Accountabilities: 1. Leadership & Team Building Lead, mentor, and grow a high-performing ML engineering team, fostering a culture of innovation and continuous improvement. Define and execute the roadmap for building scalable, high-impact ML solutions that support the company's core business and strategic objectives. Collaborate closely with leadership across departments, including data science, product management, and IT, to ensure alignment of ML initiatives with business needs. Establish clear performance metrics and regularly assess the effectiveness of the team and individual contributors. Promote knowledge-sharing, best practices, and a growth mindset within the team to enhance technical depth and execution efficiency. 2. End-to-End ML Solution Development Oversee the design, development, deployment, and maintenance of machine learning models and systems that power content recommendation engines, personalization, automation, and other key business areas. Drive the adoption of best practices in model development, testing, monitoring, and optimization across the team. Build scalable, production-ready ML pipelines that process vast amounts of data and generate real-time insights. Ensure that solutions are optimized for performance, cost-efficiency, and maintainability in a cloud-native, microservices environment. Lead efforts to continuously improve model performance, incorporating user feedback and business metrics. 3. Innovation & Strategy Identify and evaluate emerging technologies, algorithms, and methodologies in the AI/ML space, integrating them into the company's tech stack to maintain a competitive edge. Work closely with senior leadership to define AI/ML strategies and influence decision-making on product and business development. Evaluate and implement advanced techniques in natural language processing (NLP), computer vision, deep learning, reinforcement learning, and other domains as relevant to the media industry. Provide thought leadership on the application of AI/ML in media and entertainment, positioning the company as a leader in AI-driven innovation. 4. Collaboration & Cross-Functional Engagement Partner with product management, engineering, and business teams to translate complex business problems into technical ML solutions. Collaborate on the integration of ML models into products and workflows, ensuring smooth end-to-end delivery from prototype to production. Act as a trusted advisor to executives and stakeholders on ML capabilities, project status, risks, and business impact. Drive the development and implementation of data governance, privacy, and security practices to ensure compliance with regulatory requirements. Facilitate the sharing of ML insights with broader company teams, providing transparency and fostering a data-driven culture. 5. Performance Monitoring & Reporting Define and track key performance indicators (KPIs) to measure the success of ML initiatives and models. Oversee the collection and analysis of model performance data, providing regular updates to leadership and stakeholders. Ensure that deployed models are continuously monitored, maintained, and updated to meet evolving business needs. Lead post-mortem analyses of model failures and actively drive improvements based on lessons learned. Utilize data to iterate and refine models to increase their accuracy and efficiency. Qualifications & Experiences: Master’s or Ph.D. degree in Computer Science, Engineering, Data Science, Machine Learning, or a related field from a reputed institution. 12+ years of experience in the field of machine learning and AI, with at least 5 years in a leadership or managerial role. Proven track record of successfully leading and scaling ML engineering teams and delivering large-scale ML projects in a fast-paced environment. Experience working in the Media & Entertainment industry or related sectors, with knowledge of data-driven content recommendations, personalization, and automation. Expertise in designing, building, and deploying production-grade machine learning systems at scale. Experience in leading cross-functional teams to deliver end-to-end machine learning solutions, from conceptualization to deployment and optimization. Demonstrated ability to influence senior stakeholders and executives, translating technical concepts into business impact. Strong expertise in machine learning algorithms, deep learning, reinforcement learning, and statistical modeling techniques. In-depth knowledge of data structures, software engineering principles, and system design. Experience with distributed computing and cloud technologies (AWS, GCP, Azure) and containerization (Docker, Kubernetes). Proficiency in programming languages such as Python, Java, or Scala, and familiarity with ML frameworks like TensorFlow, PyTorch, or Keras. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

Experience : 2 + Years Key Responsibilities: Design, develop, and deploy Machine Learning /Artificial Intelligent models to solve real-world problems in our software products. Collaborate with product managers, developers, and data engineers to define AI project goals and requirements. Clean, process, and analyze large datasets to extract meaningful patterns and insights. Implement and fine-tune models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Develop APIs and services to integrate AI models with production environments. Monitor model performance and retrain as needed to maintain accuracy and efficiency. Stay updated with the latest advancements in AI/ML and evaluate their applicability to our projects. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience with Python and ML libraries like NumPy, pandas, TensorFlow, Keras, PyTorch, Scikit-learn. Familiarity with NLP, computer vision, or time-series analysis is a plus. Experience with model deployment tools and cloud platforms (AWS/GCP/Azure) preferred. Knowledge of software engineering practices including version control (Git), testing, and CI/CD. Qualification: Prior experience working in a product-based or tech-driven startup environment. Exposure to deep learning, recommendation systems, or predictive analytics. Understanding of ethical AI practices and model interpretability Job Type: Full-time Pay: ₹12,059.95 - ₹30,307.34 per month Schedule: Day shift Work Location: In person

Position : Special Educator Location : Greater Noida Roles & Responsibilities : Key Responsibilities: 1. Individualized Education Plans (IEPs): - Develop, implement, and evaluate personalized learning plans tailored to the unique needs of each child. - Collaborate with parents, therapists, and multidisciplinary teams to set achievable developmental and academic goals. 2. Teaching and Instruction: - Provide specialized education to children with diverse needs, including intellectual disabilities, ADHD, autism spectrum disorder (ASD), and other developmental challenges. - Use evidence-based teaching methods and adaptive tools to foster learning and growth. - Create an inclusive classroom environment that encourages participation and engagement. 3. Assessment and Evaluation: - Conduct regular assessments to monitor progress and identify areas for improvement. - Maintain comprehensive records of each child's development and adjust strategies as needed. 4. Behavioral Support: - Implement positive behavior reinforcement techniques to support self-regulation and effective communication. - Address behavioral challenges with empathy and professional expertise. 5. Collaboration and Communication: - Work closely with families, therapists, and educators to create a cohesive approach to development. - Provide training and resources to parents and caregivers to support learning and development at home. 6. Professional Development: - Stay updated with the latest research, tools, and methods in special education. - Participate in training sessions and workshops conducted by Brain Light. Qualifications and Skills: - Education: Bachelor’s or Master’s degree in Special Education or related field. Certification in special education is preferred. - Experience: [0-2] of experience working with children with special needs. - Skills: - - In-depth knowledge of developmental disabilities and teaching strategies. - Excellent communication, patience, and adaptability. - Strong organizational and teamwork skills. --- Job Types: Full-time, Fresher Pay: ₹15,000.00 - ₹40,000.00 per month Benefits: Cell phone reimbursement Work Location: In person

Job Title: AI Developer Company: Eoxys IT Solution Location: Jaipur, Rajasthan Experience: 1–2 Years Employment Type: Full-Time Education Qualification: BCA / MCA / B.Tech in Computer Science, IT, or related field Key Skills Required: Strong programming skills in Python Hands-on experience with TensorFlow , PyTorch , Keras Experience building and deploying end-to-end ML pipelines Solid understanding of model evaluation , cross-validation , and hyperparameter tuning Familiarity with cloud platforms such as AWS, Azure, or GCP for AI/ML workloads Knowledge of MLOps tools like MLflow, DVC, or Apache Airflow Exposure to domains like Natural Language Processing (NLP) , Computer Vision , or Reinforcement Learning Roles & Responsibilities: Develop, train, and deploy machine learning models for real-world applications Implement scalable ML solutions using cloud platforms Collaborate with cross-functional teams to integrate AI capabilities into products Monitor model performance and conduct regular improvements Maintain version control and reproducibility using MLOps practices Additional Requirements: Strong analytical and problem-solving skills Passion for learning and implementing cutting-edge AI/ML technologies Good communication and teamwork skills Salary: Based on experience and skillset Apply Now to be a part of our innovative AI journey! Job Type: Full-time Pay: ₹15,000.00 - ₹40,000.00 per month Work Location: In person

Here's a sample CAD Engineer job description tailored for an employer seeking a candidate with a minimum of 5 years’ experience in bridge or national highway (NH) projects : Job Title: CAD Engineer – Bridge/National Highway Projects Location: Dhubri, Assam Experience: Minimum 5 years Employment Type: Full-Time Job Summary: We are seeking a highly skilled CAD Engineer with at least 5 years of experience in bridge or National Highway (NH) infrastructure projects . The ideal candidate will have hands-on expertise in preparing detailed drawings, working closely with design engineers, and adhering to relevant codes and project specifications. Key Responsibilities: Prepare and revise CAD drawings for bridges, culverts, flyovers, retaining walls, and other highway structures. Develop plan, elevation, section, and reinforcement drawings as per design inputs. Coordinate with structural and civil engineers to ensure drawing accuracy and design intent. Manage drawing documentation, layer standards, and version control. Ensure drawings comply with IRC, MORTH, and relevant standards. Conduct site visits, if necessary, for data collection or drawing validation. Support the preparation of As-Built drawings and final submission packages. Qualifications: Diploma or Degree in Civil Engineering or related discipline. Proficiency in AutoCAD (Civil 3D, Revit, or MicroStation is a plus). Minimum 5 years of CAD drafting experience in bridge or NH projects. Sound understanding of highway engineering and structural detailing. Familiarity with IRC codes, MoRTH specifications, and other Indian standards. Ability to work independently and meet tight deadlines. Preferred Attributes: Prior experience working with consulting or EPC firms in NH/Bridge sectors. Knowledge of BIM standards (optional but desirable). Strong communication and coordination skills.

The candidate that will succeed in this position will be able to create all the testing and automation frameworks as required for their projects. Thus, the candidate may have to work on multiple projects once, also working to improve the company's best practices from a testing a standpoint. Responsibilities Doing mandatory inspection of works as per checklist to all sites. Preparing the ISO test report. Checking material at in house plant while receiving. Planning & Checking of all material at 3 rd party lab as per acceptance criteria. Generate report and bring flaws to notice of superiors. Check the Mivan technology form work & reinforcement of wall and roof slab and monitoring concreting. Concrete quality check at plant and site. Walls/Columns marking checking. Single layer block work checks. Toilet & terrace waterproofing check. Final inspection of flats Final inspection of common area. In house testing for materials. Random check on safety. Doing any other official works assigned by superiors. Submitting KRA & KPI reports, Inspection reports & inputs for MRM. Planning & executing the calibration of monitoring & Measuring devices. Qualifications Bachelor's degree in Civil 4-5 years relevant testing experience Team player

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 JavaScript (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 JavaScript . 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!

We are looking for a smart, proactive, and detail-oriented HR Generalist to support and enhance our people operations. You will be at the heart of our HR function, ensuring smooth execution of policies, processes, and employee engagement initiatives while supporting the overall people strategy. Key Responsibilities Employee Lifecycle Management: Manage onboarding, confirmations, transfers, exits, and everything in between with accuracy and empathy. HR Operations & Compliance: Maintain employee records, ensure HR systems are up to date, and stay compliant with labor laws and statutory requirements. Performance & Engagement Support: Assist in driving performance review cycles, employee engagement activities, and internal communication. Policy Implementation: Support the rollout and reinforcement of company policies, ensuring alignment with company culture and business needs. Grievance Handling & Support: Act as a trustworthy first point of contact for employee concerns, ensuring timely resolution in line with organizational values. Recruitment Coordination: Partner with talent acquisition teams to streamline interview processes, offer roll-outs, and new joiner integrations. HR Data & Reporting: Track and analyze HR metrics (like attrition, engagement scores, etc.) and generate actionable insights for leadership. What We’re Looking For 3–6 years of HR generalist experience, preferably in a fast-paced or growth-stage environment Solid understanding of HR processes, policies, and labor regulations Strong interpersonal, communication, and problem-solving skills Proficient in MS Excel and HR tools (e.g., Zoho, Darwinbox, SAP SuccessFactors) Ability to multitask and maintain attention to detail Empathy, discretion, and a people-first mindset

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep C expertise to review evaluations completed by data annotators assessing AI-generated C 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 C code. Assess if the C 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 C development, QA, or code review. Strong knowledge of C 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. Compensation : $20 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your C expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation.

*** FOLLOW OUR VIRTUAL LAB TECH PAGE *** Location: Remote (Anywhere in India) Freelancer Role - Rs 1000 per hour (5-6 hours of work per day) About the Role 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, including Docker-based execution environments when applicable. 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, including Docker containers for environment isolation and reproducibility. 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. Working knowledge of Docker for replicating or reviewing complex code environments is a plus. Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your Python expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility and milestone-based delivery.

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! About Connect Adobe Connect, within Adobe DALP BU is one of the best online webinar and training delivery platform. The product has a huge customer base which has been using it for many years. The product has evolved magnificently over a period of time ensuring it stay on top of the latest tech stack. It offers opportunity to look at plethora of technologies on both client and server side. What You’ll Do: Hands-on Machine Learning Engineer who will release models in production. Develop classifiers, predictive models, and multi-variate optimization algorithms on large-scale datasets using advanced statistical modeling, machine learning, and data mining. Special focus on R&D that will be building predictive models for conversion optimization, Bidding algorithms for pacing & optimization, Reinforcement learning problems, and Forecasting. Collaborate with Product Management to bring AI-based Assistive experiences to life. Socialize what’s possible now or in the near future to inform the roadmap. Responsible for driving all aspects of ML product development: ML modeling, data/ML pipelines, quality evaluations, productization, and ML Ops. Create and instill a team culture that focuses on sound scientific processes and encourages deep engagement with our customers. Handle project scope and risks with data, analytics, and creative problem-solving. What you require: Solid foundation in machine learning, classifiers, statistical modeling and multivariate optimization techniques Experience with control systems, reinforcement learning problems, and contextual bandit algos. Experience with DNN frameworks like TensorFlow or PyTorch on large-scale data sets. TensorFlow, R, scikit, pandas Proficient in one or more: Python, Java/Scala, SQL, Hive, Spark Good to have - Git, Docker, Kubernetes GenAI, RAG pipelines a must have technology Cloud based solutions is good to have General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts Ability to be a self-starter and work closely with other data scientists and software engineers to design, test, and build production-ready ML and optimization models and distributed algorithms running on large-scale data sets. Ideal Candidate Profile: A total of 10+ years of experience, including at least 5 years in technical roles involving Data Science, Machine Learning, or Statistics. Masters or B.Tech in Computer Science/ Statistics Comfort with ambiguity, adaptability to evolving priorities, and the ability to lead a team while working autonomously. Proven management experience with highly diverse and global teams. Demonstrated ability to influence technical and non-technical stakeholders. Proven ability to effectively manage in a high-growth, matrixed organization. Track record of delivering cloud-scale, data-driven products, and services that are widely adopted with large customer bases. An ability to think strategically, look around corners, and create a vision for the current quarter, the year, and five years down the road. A relentless pursuit of great customer experiences and continuous improvements to the product. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

About 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: Java 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: We are seeking a highly analytical and technically proficient individual to join our team as a Quantitative Problem & Algorithm Developer. This role is ideal for someone who thrives at the intersection of deep mathematical reasoning and practical software development. You will be instrumental in contributing to this role by either crafting challenging and insightful mathematical problems, devising elegant coding solutions, or working on tasks that blend both disciplines seamlessly. If you enjoy tackling complex "Euler-type" challenges and have a passion for both theoretical accuracy and computational efficiency, we encourage you to apply. Develop and conceptualize original, engaging, and diverse mathematical and/or algorithmic problems. Rigorously define problem categories, secondary tags, and assign appropriate difficulty levels, ensuring a structured and progressive learning path. Innovate and identify novel problem types, including those requiring a blend of number theory, combinatorial logic, optimization, and advanced data structures. Required Skills: Phd or Master’s degree in Mathematics with experience of Competitive Programming. Proven expertise in mathematical problem-solving, especially number theory, combinatorics, and algorithmic mathematics. Strong proficiency in programming, primarily C++, Java, with additional experience in Python advantageous. Experience with computational complexity analysis (both time and space). Excellent analytical, logical thinking, and problem-solving skills.

You might be a fit if you have ● 5 + yrs production ML / data-platform engineering (Python or Go/Kotlin). ● Deployed agentic or multi-agent systems (e.g., micro-policy nets, bandit ensembles) and reinforcement-learning pipelines at scal (ad budget, recommender, or game AI). ● Fluency with BigQuery / Snowflake SQL & ML plus streaming (Kafka / Pub/Sub). ● Hands-on LLM fine-tuning using LoRA/QLoRA and proven prompt-engineering skills (system / assist hierarchies, few-shot, prompt compression). ● Comfort running GPU & CPU model serving on GCP (Vertex AI, GKE, or bare-metal K8s). ● Solid causal-inference experience (CUPED, diff-in-diff, synthetic control, uplift). ● CI/CD, IaC (Terraform or Pulumi) & observability chops (Prometheus, Grafana). ● Bias toward shipping working software over polishing research papers. Bonus points for: ● Postal/geo datasets, ad-tech, or martech domain exposure. ● Packaging RL models as secure micro-services. ● VPC-SC, NIST, or SOC-2 controls in a regulated data environment. ● Green-field impact – architect the learning stack from scratch. ● Moat-worthy data – 260 M+ US consumer graph tying offline & online behavior. ● Tight feedback loops – your models go live in weeks, optimizing large amounts of marketing spend daily.

Pantone Location Bangalore, Karnataka, India Category Marketing & Communications Job Id R10261173 Imagine yourself… Doing meaningful work that makes a vibrant impact on the world around you. Growing your expertise and expanding your skillset with every project. Collaborating with a bright, diverse, global team. It’s all possible with a role at X-Rite Pantone, the global leaders in color science and technology. X-Rite Pantone, a Veralto company, provides complete end-to-end color management solutions for clients in every industry where color matters. At X-Rite Pantone, you’ll deftly blend the art and science of color to help customers inspire, select, measure, formulate, communicate and match color so that users get color right the first time, every time. And along the way, you’ll build a vibrant career through rich skill-building opportunities, on-the-job learning, and coaching and training that supports your continued development and growth. Job Title: Marketing Specialist/Administrator Department: X-Rite India Marketing Team Reports To: Marketing Manager Position Overview: The Marketing Communication Specialist will be responsible for developing and implementing a localized strategic plan to drive X-Rite presence in various industry, which includes both internal and external communications: event marketing, media relations and effective dealer support campaigns. Will work closely with China and global Marketing team, Application and Sales team to enhance customer engagement and deliver results. In this role, a typical day will look like: Organise and manage events and associated campaigns such as seminars, user groups, marketing events, workshops and conferences Co-ordinate requirements for promotional material as defined by the General/Regional Manager. Assist with copywriting, artwork, and web workflow for planned print and digital marketing communications. Handling logistics, vendors, finance and document works to perform marketing events Designing layout for booth fabrications, arranging banners, poster to fulfil the construction for all events Support the General/Regional Manager and marketing/Sales team by co-ordinating and collating content to support campaigns. Assist with the maintenance of the CRM system and marketing automation tools. Assist with content management upkeep including shared drives and content libraries. Attend domestic trade fairs, satellite events, conferences and functions to promote our products as required Post marketing updates through internal communication channels. Evaluate ideas for marketing projects to assess feasibility and requirements in conjunction with the General/Regional Manager. Keep up to date with industry specific trends and activities that are utilized to communicate with customers Strong market research practices and techniques Carry out other related tasks as required Event Management: Plan, organize, and execute tradeshows, seminars, ensuring alignment with our annual marketing objectives and effective reinforcement of our brand image. Dealer and Partner Support: Work closely with X-Rite dealers and channel partners to give support to their event, including marketing materials, gifts, etc. Good management of annual dealer sponsorship project to ensure its smoothly running and budget control Content Localization: Ensure brochures and flyers are effectively localized for various industry, make local own materials/case study/press release with sales and AE team. Coordinate with vendor to print out marketing brochures, flyers, roll up banner, etc. Media and Association: Establish and maintain relationships with industry media and association to boost potential opportunities, join its membership if necessary. Gifts Management: Annual gifts selection and production, gifts application record management. Sales Force Management: Provide support to the sales team regarding SFDC topic, including updating Sales Force user guide, arrange training to help sales improve funnel management skill. Marketing warehouse: Manage the marketing warehouse to ensure the materials are good placed and stored. Tradeshow and Seminar target: Responsible for achieving the tradeshow and webinar target based on annual Marketing VDM report. Event and Marketing ROI Analysis: Monitor and report on event effectiveness and contribute to improving field marketing ROI. The essential requirements of the job include Bachelor’s degree with Minimum 3 years’ experience in marketing event management responsibility Fluency in English and Hindi is required. At least 2-3 years of experience in marketing channels and operations Convincing and open-minded personality with marketing flair Attention to detail and ability to multi-task; highly organized Experienced with MS Office including Word, Excel, and Outlook Good PC user knowledge, CRM (Salesforce), would be an advantage Proven experience in marketing communication, particularly in organizing tradeshows, seminars, and webinars. Strong organizational and project management skills. Excellent communication and interpersonal abilities. Creative problem-solving skills with attention to detail. Ability to multitask and meet tight deadlines in a fast-paced environment. X-Rite Pantone is proud to part of the Product Quality & Innovation segment of Veralto (NYSE: VLTO), a $5B global leader dedicated to ensuring access to clean water, safe food and medicine, and trusted essential goods. When you join Veralto’s vibrant global network of 16,000 associates, you join a unique culture and work environment where purpose meets possibility : where the work you do has an everyday impact on the resources and essentials we all rely on, and where you’ll have valuable opportunities to deepen your skillset, pursue your ambitions, and grow your career. Together, we’re Safeguarding the World’s Most Vital Resources™—and building rewarding careers along the way. At Veralto, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes. If you’ve ever wondered what’s within you, there’s no better time to find out. Unsolicited Assistance We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies, in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral.

AI / Generative AI Engineer Location: Remote ( Pan India ). Job Type: Fulltime. NOTE: "Only immediate joiners or candidates with a notice period of 15 days or less will be We are seeking a highly skilled and motivated AI/Generative AI Engineer to join our innovative team. The ideal candidate will have a strong background in designing, developing, and deploying artificial intelligence and machine learning models, with a specific focus on cutting-edge Generative AI technologies. This role requires hands-on experience with one or more major cloud platforms (Google Cloud Platform GCP, Amazon Web Services AWS) and/or modern data platforms (Databricks, Snowflake). You will be instrumental in building and scaling AI solutions that drive business value and transform user experiences. Key Responsibilities Design and Development : Design, build, train, and deploy scalable and robust AI/ML models, including traditional machine learning algorithms and advanced Generative AI models (e.g., Large Language Models LLMs, diffusion models). Develop and implement algorithms for tasks such as natural language processing (NLP), text generation, image synthesis, speech recognition, and forecasting. Work extensively with LLMs, including fine-tuning, prompt engineering, retrieval-augmented generation (RAG), and evaluating their performance. Develop and manage data pipelines for data ingestion, preprocessing, feature engineering, and model training, ensuring data quality and integrity. Platform Expertise Leverage cloud AI/ML services on GCP (e.g., Vertex AI, AutoML, BigQuery ML, Model Garden, Gemini), AWS (e.g., SageMaker, Bedrock, S3), Databricks, and/or Snowflake to build and deploy solutions. Architect and implement AI solutions ensuring scalability, reliability, security, and cost-effectiveness on the chosen platform(s). Optimize data storage, processing, and model serving components within the cloud or data platform ecosystem. MLOps And Productionization Implement MLOps best practices for model versioning, continuous integration/continuous deployment (CI/CD), monitoring, and lifecycle management. Deploy models into production environments and ensure their performance, scalability, and reliability. Monitor and optimize the performance of AI models in production, addressing issues related to accuracy, speed, and resource utilization. Collaboration And Innovation Collaborate closely with data scientists, software engineers, product managers, and business stakeholders to understand requirements, define solutions, and integrate AI capabilities into applications and workflows. Stay current with the latest advancements in AI, Generative AI, machine learning, and relevant cloud/data platform technologies. Lead and participate in the ideation and prototyping of new AI applications and systems. Ensure AI solutions adhere to ethical standards, responsible AI principles, and regulatory requirements, addressing issues like data privacy, bias, and fairness. Documentation And Communication Create and maintain comprehensive technical documentation for AI models, systems, and processes. Effectively communicate complex AI concepts and results to both technical and non-technical audiences. Required Qualifications 8+ years of experience with software development in one or more programming languages, and with data structures/algorithms/Data Architecture. 3+ years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). 3+ years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field. Proven experience as an AI Engineer, Machine Learning Engineer, or a similar role. Strong programming skills in Python. Familiarity with other languages like Java, Scala, or R is a plus. Solid understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning), deep learning concepts (e.g., CNNs, RNNs, Transformers), and statistical modeling. Hands-on experience with developing and deploying Generative AI models and techniques, including working with Large Language Models (LLMs like GPT, BERT, LLaMA, etc.). Proficiency in using common AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, Keras, Hugging Face Transformers, LangChain, etc. Demonstrable experience with at least one of the following cloud/data platforms: GCP: Experience with Vertex AI, BigQuery ML, Google Cloud Storage, and other GCP AI/ML services. AWS: Experience with SageMaker, Bedrock, S3, and other AWS AI/ML services. Databricks: Experience building and scaling AI/ML solutions on the Databricks Lakehouse Platform, including MLflow. Snowflake: Experience leveraging Snowflake for data warehousing, data engineering for AI/ML workloads, and Snowpark. Experience with data engineering, including data acquisition, cleaning, transformation, and building ETL/ELT pipelines. Knowledge of MLOps tools and practices for model deployment, monitoring, and management. Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. (ref:hirist.tech)

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations Responsibilities Job Description & Summary – Associate – GenAI – Mumbai Role : Associate Exp : 3—5 Years Location: Mumbai Job Description: Candidate with 3-5 years of exp and a strong background in machine learning, technical expertise, and domain knowledge in Banking, Financial Services, and Insurance (BFSI). Experience with Generative AI (GenAI) is a must have. Key Responsibilities: Collaborate with clients to understand their business needs and provide data-driven solutions. Develop and implement machine learning models to solve complex business problems. Analyze large datasets to extract actionable insights and drive decision-making. Present findings and recommendations to stakeholders in a clear and concise manner. Stay updated with the latest trends and advancements in data science and machine learning. GenAI Experience: Generative AI (GenAI) experience, including working with models like GPT, BERT, and other transformer-based architectures Ability to leverage GenAI for tasks such as text generation, summarization, and conversational AI Experience in developing and deploying GenAI solutions to enhance business processes and customer experiences Technical Skills: Programming Languages: Proficiency in Python, R, and SQL for data manipulation, analysis, and model development. Machine Learning Frameworks: Extensive experience with TensorFlow, PyTorch, and Scikit-learn for building and deploying models. Data Visualization Tools: Strong knowledge of Tableau, Power BI, and Matplotlib to create insightful visualizations. Cloud Platforms: Expertise in AWS, Azure, and Google Cloud for scalable and efficient data solutions. Database Management: Proficiency in SQL and NoSQL databases for data storage and retrieval. Version Control: Experience with Git for collaborative development and code management. APIs and Web Services: Ability to integrate and utilize APIs for data access and model deployment. Machine Learning algorithms: Supervised and Unsupervised Learning Regression Analysis Classification Techniques Clustering Algorithms Natural Language Processing (NLP) Time Series Analysis Deep Learning Reinforcement Learning Mandatory Skill Sets GenAI Preferred Skill Sets GenAI Years Of Experience Required 3—5 Years Education Qualification B.E.(B.Tech)/M.E/M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration, Bachelor of Technology Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Extract Transform Load (ETL), Microsoft Azure Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 11 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date