2099 Reinforcement Jobs - Page 48

Machine learning (ML) is a subfield of artificial intelligence that enables systems to learn from data and improve their performance on specific tasks without explicit programming. It focuses on developing algorithms that can analyze data, identify patterns, and make predictions or decisions. Essentially, machine learning allows computers to learn from experience, just like humans do, by adjusting their behavior based on the data they are exposed to. Here's a more detailed explanation: Core Concepts: Learning from Data: Machine learning algorithms are trained on large datasets to identify patterns and relationships within the data. No Explicit Programming: Unlike traditional programming, where you tell the computer exactly what to do, ML algorithms learn from data and adapt their behavior. Prediction and Decision Making: The goal of ML is to enable systems to make accurate predictions or decisions based on the patterns they have learned. Adaptability and Improvement: As ML models are exposed to more data, they can improve their performance and become more accurate over time. Types of Machine Learning: Supervised Learning: Algorithms are trained on labeled data, where the desired output is provided for each input. Unsupervised Learning: Algorithms work with unlabeled data and try to find hidden patterns or structures within the data. Reinforcement Learning: Algorithms learn by interacting with an environment and receiving rewards or penalties for their actions. Job Types: Full-time, Part-time Pay: ₹11,811.81 - ₹52,595.62 per month Benefits: Provident Fund Schedule: Day shift Work Location: In person

Job Title: Account Executive Location: Bavala,Ahmedabad Reports To: Manager/ CFO/Account Director About Us: We are engaged in manufacturing of Thermo Mechanically Treated Bars (“TMT Bars”) at our manufacturing facility situated at Bhayla Village, Ahmedabad, Gujarat, India. TMT Bars are high-strength reinforcement steel used widely in construction industry due to their exceptional strength, ductility, and corrosion resistance. (Dun & Bradstreet Report) We conduct our business predominantly in the State of Gujarat from where we derived 97.49%, 98.75%, 97.42% and 96.67% of our revenues from operations in the nine months period ended December 31, 2024 and Fiscal 2024, Fiscal 2023 and Fiscal 2022 respectively. Role Overview: Seeking a results-driven Account Executive to build relationships, drive new business, and deliver client success from outreach through renewal. Responsibilities: Prospect for new clients; qualify, pitch, negotiate, and close deals Maintain and grow existing client accounts through upselling/cross-selling Develop account strategies; meet or exceed revenue quotas Deliver presentations, demos, and proposals Coordinate internally and resolve client issues Track account performance; prepare reports Stay informed of market trends and competition Qualifications: Bachelor’s (or higher) in relevant field 2–5+ years of sales or client-facing experience (up to 7+ for senior roles) Proficient in CRM tools and MS Office Demonstrated success in meeting/exceeding sales targets Excellent communication, negotiation, and analytical skills Highly organized, self-motivated, with strong problem-solving abilities Preferred: SaaS/B2B experience Experience in strategic, multi-stakeholder sales Familiarity with additional languages or travel capacity, if relevant What We Offer: Competitive base salary + commission/bonus Health benefits, paid time off, professional development Collaborative workplace culture Job Type: Full-time Pay: ₹18,000.00 - ₹35,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Supplemental Pay: Yearly bonus Education: Bachelor's (Preferred) Experience: Accounting: 1 year (Preferred) Language: Hindi,English,Gujarati (Preferred) Location: Bavla, Ahmedabad, Gujarat (Preferred) Shift availability: Day Shift (Preferred) Work Location: In person

We are seeking a skilled .NET Microservices Developer to join our team. The ideal candidate will have strong experience in designing, developing, and deploying microservices-based applications using .NET technologies. You will be responsible for migrating legacy applications to microservices architecture, ensuring scalability, performance, and security. Title :.Net MicroServices Developer/ Dotnet MicroServices Developer Location: Remote Work Timings: 2:00 PM - 11:00 PM IST. No of Openings : 2 Please note This is a 4 Months contract role and open for freelancer contract Key Responsibilities: Design, develop, and maintain microservices using .NET Core and C#. Migrate legacy applications to microservices-based architecture. Collaborate with cross-functional teams to gather and define requirements. Implement RESTful APIs and integrate with third-party services. Ensure the scalability, performance, and security of microservices. Write clean, maintainable, and testable code following best practices. Deploy and monitor microservices in cloud environments, such as AWS, Azure, or GCP. Troubleshoot and debug issues across microservices and provide solutions. Participate in code reviews and contribute to continuous improvement of the development process. Collaborate with DevOps teams to ensure seamless CI/CD pipeline integration. Required Skills & Qualifications: Bachelor’s degree in Computer Science, Engineering, or related field. 3+ years of experience in .NET development with at least 2 years focusing on microservices architecture. Strong proficiency in .NET Core, C#, and RESTful API development. Experience with containerization technologies like Docker and orchestration tools such as Kubernetes. Familiarity with cloud platforms (AWS, Azure, GCP) and their services for deploying microservices. Knowledge of database technologies, including SQL Server, NoSQL databases, and ORM tools like Entity Framework. Experience with API gateways, service mesh, and inter-service communication strategies. Understanding of design patterns, SOLID principles, and best practices in software development. Proficiency in version control tools such as Git. Experience with CI/CD pipelines and tools like Jenkins, Azure DevOps, or GitLab CI. Strong problem-solving skills and ability to troubleshoot complex issues. Preferred Skills: Experience with event-driven architecture and messaging systems like RabbitMQ, Kafka, or Azure Service Bus. Knowledge of monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or Azure Monitor. Familiarity with Agile/Scrum methodologies. Strong communication and teamwork skills. About Techolution : Techolution is a Product Development firm on track to become one of the most admired brands in the world for "innovation done right". Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve. With that, we are now fully committed to helping our clients build the enterprise of tomorrow by making the leap from Lab Grade AI to Real World AI. Other focus areas being Enterprise Cloud, Product Innovation (IoT, 3D printing, Robotics), Real World AI Services (CV, LLM, CNN). We are honored to have recently received the prestigious Inc 500 Best In Business award , a testament to our commitment to excellence. We were also awarded - AI Solution Provider of the Year by The AI Summit 2023, Platinum sponsor at Advantage DoD 2024 Symposium and a lot more exciting stuff! While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we serve. Our thought leader, Luv Tulsidas, wrote and published a book in collaboration with Forbes, “Failing Fast? Secrets to succeed fast with AI”. Refer here for more details on the content - https://www.luvtulsidas.com/ Let's explore further! Uncover our unique AI accelerators with us: 1. Enterprise LLM Studio : Our no-code DIY AI studio for enterprises. Choose an LLM, connect it to your data, and create an expert-level agent in 20 minutes. 2. AppMod. AI : Modernizes ancient tech stacks quickly, achieving over 80% autonomy for major brands! 3. ComputerVision. AI : Our ComputerVision. AI Offers customizable Computer Vision and Audio AI models, plus DIY tools and a Real-Time Co-Pilot for human-AI collaboration! 4. Robotics and Edge Device Fabrication : Provides comprehensive robotics, hardware fabrication, and AI-integrated edge design services. 5. RLEF AI Platform : Our proven Reinforcement Learning with Expert Feedback (RLEF) approach bridges Lab-Grade AI to Real-World AI. 6. AI Center of Excellence : Establishes an AI Center of Excellence to maximize AI potential and ROI. 7. FaceOpen : AI-powered user identification system using image recognition and deep neural networks, eliminating the need for keys, badges, or fingerprint scanners! Some videos you wanna watch! Computer Vision demo at The AI Summit New York 2023 Life at Techolution GoogleNext 2023 Ai4 - Artificial Intelligence Conferences 2023 WaWa - Solving Food Wastage Saving lives - Brooklyn Hospital Innovation Done Right on Google Cloud Techolution featured on Worldwide Business with KathyIreland Techolution presented by ION World’s Greatest Visit us @ www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology.

As a Talent Acquisition Associate focused on product hiring , you will play a critical role in shaping high-impact product teams by identifying and attracting top-tier talent across Engineering, Design, Product Strategy, and Business Operations. This is a full-cycle recruiting role where you’ll own the process end-to-end—from sourcing to closing candidates—working in close collaboration with Product Owners, Engineering Managers, and Leadership to scale our in-house product teams with speed and precision. Job Title: Talent Acquisition Associate Employment type : Fulltime No of Openings: 3 Exp Level : 1-3 years of exp only What You’ll Be Doing: Take complete ownership of the end-to-end recruitment process for product-centric roles across Engineering, Design, and Product Strategy functions Partner closely with hiring managers to understand team needs, product roadmaps, and ideal candidate profiles Actively source top talent via LinkedIn, job boards, communities, and internal referrals Screen and assess candidates for both technical proficiency and product mindset , ensuring strong alignment with our product development goals Schedule and coordinate interviews, gather feedback, and manage communication loops to move candidates quickly through the funnel Drive a seamless, high-touch candidate experience , from initial contact to offer acceptance Work flexible hours as needed to support distributed product teams and urgent hiring spikes What We’re Looking For 1–3 years of experience in full-cycle recruitment, ideally for product-based companies or startups Proven ability to hire for technical and product-oriented roles (e.g., Product Managers, Engineers, Designers) Strong sourcing skills with deep expertise in LinkedIn Recruiter, job boards, and industry networks Excellent communication skills and the ability to clearly understand and explain technical/product requirements A fast learner with high adaptability and a collaborative, can-do attitude Experience working in high-growth environments or with agile teams is a big plus Willingness to work flexible hours to meet evolving product team needs If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role. To know more about Techolution, visit our website: www.techolution.com If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role.To know more about Techolution, visit our website: www.techolution.com About Techolution: Techolution is a next gen AI consulting firm on track to become one of the most admired brands in the world for "AI done right". Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve. At Techolution, we build custom AI solutions that produce revolutionary outcomes for enterprises worldwide. Specializing in "AI Done Right," we leverage our expertise and proprietary IP to transform operations and help achieve business goals efficiently. We are honored to have recently received the prestigious Inc 500 Best In Business award , a testament to our commitment to excellence. We were also awarded - AI Solution Provider of the Year by The AI Summit 2023, Platinum sponsor at Advantage DoD 2024 Symposium and a lot more exciting stuff! While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we serve. Our thought leader, Luv Tulsidas, wrote and published a book in collaboration with Forbes, “Failing Fast? Secrets to succeed fast with AI”. Refer here for more details on the content - https://www.luvtulsidas.com/ Let's explore further! Uncover our unique AI accelerators with us: 1. Enterprise LLM Studio : Our no-code DIY AI studio for enterprises. Choose an LLM, connect it to your data, and create an expert-level agent in 20 minutes. 2. AppMod. AI : Modernizes ancient tech stacks quickly, achieving over 80% autonomy for major brands! 3. ComputerVision. AI : Our ComputerVision. AI Offers customizable Computer Vision and Audio AI models, plus DIY tools and a Real-Time Co-Pilot for human-AI collaboration! 4. Robotics and Edge Device Fabrication : Provides comprehensive robotics, hardware fabrication, and AI-integrated edge design services. 5. RLEF AI Platform : Our proven Reinforcement Learning with Expert Feedback (RLEF) approach bridges Lab-Grade AI to Real-World AI. Some videos you wanna watch! Computer Vision demo at The AI Summit New York 2023 Life at Techolution GoogleNext 2023 Ai4 - Artificial Intelligence Conferences 2023 WaWa - Solving Food Wastage Saving lives - Brooklyn Hospital Innovation Done Right on Google Cloud Techolution featured on Worldwide Business with KathyIreland Techolution presented by ION World’s Greatest Visit us @ www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology.

Job Description Summary Role Summary / Purpose: Based at GE Vernova Power Conversion Chennai site the Services Specialist role is an exciting opportunity for an action-oriented individual with deep technical foundation of Power Conversion equipment. You will be able to leverage your technical knowledge to directly support customer through commissioning, maintaining, servicing of Power Conversion’s state of the art products and solutions across the globe, while you collaborate across the globe with key functional teams and enhance your strategic business acumen. The job will require frequent traveling up to 100 % to various client sites in India and globally. Our team of dedicated experts needs reinforcement from young or experienced colleagues. So if you find electric drive technology and the associated processes interesting, can get excited about it, and are a thoroughbred technician/engineer, then we are looking for you! Great performance needs Great Engineers! Job Description Role Summary / Purpose: Based at GE Vernova Power Conversion Chennai site the Services Specialist role is an exciting opportunity for an action-oriented individual with deep technical foundation of Power Conversion equipment. You will be able to leverage your technical knowledge to directly support customer through commissioning, maintaining, servicing of Power Conversion’s state of the art products and solutions across the globe, while you collaborate across the globe with key functional teams and enhance your strategic business acumen. The job will require frequent traveling up to 100 % to various client sites in India and globally. Our team of dedicated experts needs reinforcement from young or experienced colleagues. So if you find electric drive technology and the associated processes interesting, can get excited about it, and are a thoroughbred technician/engineer, then we are looking for you! Great performance needs Great Engineers! Essential Responsibilities The Services Specialist develops practical and innovative ways to identify and meet goals. In this role you are responsible for work which is defined in scope, utilize your understanding and experience to execute business objectives, and have the ability to effect short-term and some long-term business goals. Commissioning of extensive systems consisting of power controllers, frequency converters, load commutated drives, excitation systems, electrical machines, and load machines or production plants, such as large converters for pumped storage power plants, gas turbine power plants, and much more. Commissioning of the Medium Voltage and Low Voltage variable speed drives with Medium Voltage Switchgear in business segments such as Power Plants, Metals, Marine, Oil & Gas, Material handling, etc., Should communicate clearly and coordinate with the Project manager, Customer and Commissioning Manager and perform the task with at most quality. Interact and assistance to the customer, use in the operation, inspection, maintenance, and repair of assigned product lines. Maintain strong safety mindset to assure the executed work reflects the technical requirements within GE safety standards. Ensure all work is performed in accordance with the organization’s EHS and associated policies/procedures Ensure customer satisfaction with according to the metrics of terms, performance, and quality. Improving reliability and reducing cost of ownership. Qualifications/Requirements Diploma / Bachelors university in Electrical or Electronics Engineering. Minimum of 3 to 7 years of experience in relevant field Desired Characteristics Strong oral and written communication skills Strong interpersonal and leadership skills Strong attention to detail Proactive self-starter and change agent & ability to work under stress environment Cross functional, ability to work on matrix environment. Effectively communicate across all organizational levels, departments, and functions Additional Information Relocation Assistance Provided: Yes This is a remote position

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Data Scientist Associate Senior within the Asset and Wealth Management team at JPMorgan Chase, you will play a key role as an experienced member of our Data Science Team. You are responsible for addressing business problems through data analysis, developing models, and deploying these models to production environments on AWS or Azure. Job Responsibilities Collaborate with all of JPMorgan’s lines of business and functions to delivery software solutions. Develop and experiment high quality machine learning models, services and platforms to make huge technology and business impact. Design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result. Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 3+ years applied experience BE/B.Tech, ME/MS or PhD degree in Computer Science, Statistics, Mathematics or Machine learning related field. Solid programming skills with Python Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Expert in at least one of the following areas: Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Experience in using GenAI (OpenAI or other models ) to solve business problem. Knowledge of machine learning frameworks: Tensorflow and Pytorch Experience in training/ inference/ML ops on public cloud (AWS/GCP/Azure) Strong analytical and critical thinking skills. Preferred Qualifications, Capabilities, And Skills Knowledge of Asset and Wealth management business is added advantage . ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

JOB DESCRIPTION Regional Trainer - West Let's talk spine - because most of India doesn't. Founded when surgery was the only mainstream solution to back pain, QI Spine emerged with a simple idea: non-surgical recovery should be the first option, not the last resort. Since then, we've built India's only spine-focused medical system - combining the expertise of 250+ specialists with cutting-edge AI tools like Doctor QI, our proprietary diagnostic engine. With 22 clinics across major cities, we've: • Consulted over 2.5 lakh patients • Prevented 15,000+ unnecessary spine surgeries • Achieved a 95% recovery rate - among the best in the world Our mission? To redefine spine care by blending clinical excellence, intelligent systems, and strong operational discipline. About the Role: We are seeking a dynamic and highly effective Regional Trainer - West to join our growing team. This pivotal role will be responsible for designing, delivering, and managing comprehensive training programs for our diverse teams in the Western region, including doctors, patient counsellors, contact center agents, and other support functions. You will equip our teams with essential skills in services/counselling-based selling, customer service excellence, and robust process adherence. This role will report jointly to the Head - L&D and the GM - Operations, ensuring direct alignment of training initiatives with both learning strategy and operational performance metrics. Extensive travel to various clinics within the Western region will be a key component of this role as we scale our presence. What You'll Own: 1. Training Needs Analysis & Program Design • Conduct thorough Training Needs Analysis (TNA) across various roles (Doctors, Patient Counsellors, Contact Centre Agents, Support Staff) and clinic locations in the West. • Design engaging, blended, and impactful training modules and programs tailored to specific skill gaps and business objectives. • Develop specialized content focusing on services/counselling-based selling skills, advanced customer service, and critical process adherence. • Ensure all training content aligns with QI Spine's clinical protocols, brand standards, and operational guidelines. 2. Training Delivery & Facilitation • Deliver high-quality, interactive training sessions through various modalities (classroom, virtual, on-the-job, workshops, role-plays, simulations). • Facilitate discussions, provide constructive feedback, and conduct coaching sessions to reinforce learning and skill application. • Conduct regular on-site training and coaching visits to clinics throughout the Western region to ensure direct impact and support. • Adapt training delivery methods to cater to diverse learning styles and professional backgrounds. 3. Performance Enhancement & Coaching • Work in close collaboration with the Operations team to identify performance gaps and translate them into actionable training interventions. • Provide ongoing coaching and post-training support to individuals and teams, ensuring sustained improvement in performance metrics. • Monitor and evaluate the effectiveness of training programs through predefined KPIs such as sales conversion rates, customer satisfaction scores, and process compliance. • Implement robust reinforcement strategies to ensure knowledge retention and skill transfer to the workplace. 4. Content Development & Continuous Improvement • Continuously update and refine existing training materials based on feedback, evolving business needs, new service offerings, and process changes. • Create comprehensive training manuals, job aids, quick reference guides, and other supportive learning resources. • Ensure consistency and standardization of training content and delivery across all clinics in the Western region. 5. Stakeholder Collaboration & Reporting • Collaborate closely with the Head - L&D to align on overall learning strategy, methodology, and best practices. • Partner extensively with the Head - Operations, Clinical Directors, Sales Managers, and Contact Centre Heads to understand operational challenges and embed training solutions. • Provide regular and insightful reports on training progress, program effectiveness, ROI, and team performance improvements to relevant stakeholders. What We're Looking For: Experience • 3-5 years experience in training diverse groups, including sales teams, customer service professionals. • Demonstrated expertise in developing and delivering skill-based training, particularly in counselling/consultative selling, customer service excellence, and process orientation. • Experience within the healthcare, retail, service, or B2C industry. Skills & Expertise • Exceptional facilitation, presentation, and public speaking skills. • Strong understanding of adult learning principles, instructional design methodologies, and training effectiveness measurement. • Excellent verbal and written communication skills, with the ability to articulate complex information clearly and concisely. • Proven ability to conduct effective Training Needs Analysis (TNA) and translate findings into practical training solutions. • Strong analytical skills to evaluate training impact and drive data-driven improvements. • Familiarity with Learning Management Systems (LMS) and e-learning content creation tools is a plus. Industry Knowledge • Awareness of sales and counselling processes within a service-oriented, customer-centric environment. Personal Attributes • Highly energetic, self-motivated, and results-oriented, with a passion for developing people. • Strong empathy, active listening skills, and a natural coaching ability. • High adaptability and flexibility to travel extensively within the Western region. • Proactive problem-solver with strong organizational and time management skills. Education • Any Graduate. • Candidates who have completed courses in Training & Assessment, or Instructional Design are highly preferred. What You'll Get: • A mission-critical role with direct impact on team performance, patient experience, and QI Spine's ambitious growth. • The unique opportunity of working with leadership, providing broad exposure and a holistic understanding of business needs. • High ownership and direct accountability for enhancing capabilities across diverse professional groups. • A dynamic role involving significant regional travel, allowing you to directly engage with our clinic teams and see the impact of your work. • A challenging yet immensely rewarding environment where your contributions directly shape the future of musculoskeletal care. • A collaborative and mission-driven workplace where you can truly be a "QIpreneur." Let's build better spine care. www.qispine.com

Junior Rapid Prototyping Engineer "Read the complete content provided for the Job role, and fill the G-form attached at the end of the content" About the Role: Seeking an energetic, organized, and hands-on Junior Rapid Prototype Production Engineer to join our core team working on innovative TRC-based construction systems . This role is critical in managing the on-ground production workflow , including labour coordination, material and equipment management, prototype casting , and site-level execution planning . The ideal candidate will act as the link between the R&D, fabrication, and testing works , ensuring that production targets are met with quality, safety, and timeliness. They will be responsible for overseeing factory operations , managing day-to-day logistics, tracking resources, and supporting all prototype production and testing activities . Key Responsibilities: 🛠️ Production Management & Execution Coordinate and supervise labour teams and support staff involved in mould assembly, casting, curing, demoulding, and lifting operations. Ensure timely arrangement of materials, tools, machinery , and consumables required for prototype production. Maintain and monitor inventory levels of critical resources (Ex: cement, fabric, steel, admixtures, mould oils, etc.). Continuously update and enforce casting schedules and work plans in line with R&D and delivery timelines. 🧾 Reporting & Documentation Prepare and submit the following reports regularly: DPR (Daily Progress Report) WPR (Weekly Progress Report) MPR (Monthly Progress Report) Maintain detailed labour attendance records , work schedules , and overtime sheets . Assist in preparing bill of materials , resource utilization logs , and cost tracking sheets for prototype tasks. 🏭 Factory Oversight & Operations Act as the site coordinator for all activities happening at the prototype casting facility. Ensure safe, efficient, and clean work environments . Supervise usage and upkeep of all factory machinery including: Concrete mixers (pan and drum type) Prestressing jacks or clamps Cutting, welding, and grinding tools Coordinate with external vendors, transporters, and suppliers for material movement and service support. 🔧 Dynamic Planning & Support Support dynamic and real-time adjustments to production planning based on material availability, manpower, and R&D feedback. Work closely with testing engineers to assist in setting up mechanical and durability testing fixtures and logistics. Identify bottlenecks in the production chain and propose rapid resolution mechanisms . Required Qualifications: Diploma / B.E. / B.Tech in Mechanical / Civil / Production / Industrial Engineering 0–2 years of experience in prototype manufacturing, site execution , or factory operations Exposure to construction or precast production environments is highly desirable Key Skills & Attributes: Strong skills in factory coordination, material management, and labour handling Proficiency in using MS Excel , Google Sheets , or project management tools Understanding of basic construction/casting workflows (concrete, reinforcement, curing, etc.) Excellent communication, team management, and problem-solving abilities Ability to work in a fast-paced R&D-driven environment with evolving requirements Growth Opportunity: Be an integral part of a pioneering project in lightweight TRC panel systems Work at the intersection of research, product development, and field execution Gain multidisciplinary experience across civil engineering, production management, and material innovation 🌟 Join the Team That's Redefining the Future of Construction Imagine a world where buildings come together as effortlessly as LEGO® bricks — precision-engineered modules crafted in factories, delivered with unmatched speed, and assembled with intuitive simplicity. At the heart of this vision is our cutting-edge Research & Development team, relentlessly working to turn this bold future into a reality. 🚀 What We’re Building We are pioneering Modular Building Technology (MBT) — a transformative construction system that blends: Factory-level quality and consistency Rapid, scalable on-site assembly Innovation rooted in science and inspired by simplicity We're not just designing buildings — we're engineering systems that empower people to create spaces that are faster to build, safer to inhabit, and smarter to live in. 🤝 Who You'll Work With You’ll become part of a vibrant ecosystem where: Seasoned engineers bring wisdom from decades of experience Young innovators challenge boundaries with fresh ideas Cross-disciplinary minds from materials science, structural design, digital modeling, and fabrication unite around a single goal We thrive on collaboration over hierarchy, and value every voice at the table — because true innovation happens when diverse perspectives align. 🌟 R&D Team Charter – Modular Building Technology (MBT) This charter outlines the foundational principles, strategy, and cultural DNA that guide our R&D team in executing the mission of MBT — a vision to transform the way the world builds. 🚀 Our Mission To create a next-generation Modular Building Technology that empowers and enriches lives — a system so advanced in quality, precision, and reliability, yet so intuitive and seamless in assembly, that anyone, anywhere can build inspiring, durable, and scalable spaces. We envision MBT as a breakthrough in micro-construction — combining factory-made modules , snap-fit simplicity , and scientific depth , engineered to benefit not just individuals, but all of humanity. 📖 Our Principles 1. 🧠 Democratizing Construction Innovation We commit to broadly distributing the benefits of MBT by: Embedding scientific innovation at the core — from physics and chemistry to structural engineering and material science . Closing the gap between institutions and individuals by enabling decentralised construction empowerment . Making high-end construction technology accessible, modular, and replicable . 2. 🔬 Transforming Science into Real-World Impact Our duty is to convert scientific breakthroughs into user-centric, real-world solutions . We break silos by: Listening to end users and understanding ground realities. Partnering with construction communities to ensure seamless adoption. Designing systems that are not only innovative but intuitive and practical . 3. 🛡️ Safety at Scale – Without Slowing Down Innovation We recognize that scaling fast is necessary, but safety at scale is non-negotiable. Like supercars engineered to perform safely at high speeds, MBT must be resilient under rapid deployment . We aim to anticipate and address potential failures before scaling , not after — through simulation, prototyping, and robust frameworks. 4. 🧭 Technical Leadership with Purpose Policy and advocacy aren’t enough. To shape the future of construction: We must be on the cutting edge of MBT capabilities . We strive to lead with depth , not just opinion — bringing a combination of technical rigor , architectural elegance , and systemic insight . 5. 🤝 Radical Collaboration We don’t build in silos. We build with the world . Collaborating with scientists, architects, engineers, policymakers, health experts, and communities . Engaging internal and external stakeholders — from customers and companies to grassroots builders. Balancing openness and intellectual property protection , fostering innovation while respecting creator contributions. 💡 Core Values That Drive Our Team 🎯 MBT-First Focus We are relentlessly focused on building modular, fast, safe, intuitive systems that scale impact. If it doesn’t serve MBT, it’s out of scope. 🔥 Intense & Scrappy We work with urgency and ownership. We embrace the unglamorous , chase the unconventional , and do whatever it takes to make things work — always guided by truth and effectiveness. 💥 Think & Build at Scale We believe in the magic of scale — in our thinking, systems, ambitions, and models. When in doubt? Scale it up. 💖 Make Things People Love Our work should create joy, utility, and meaning in people’s lives. We aren’t just building walls — we’re shaping spaces that inspire, protect, and uplift . 🫂 Team Spirit True breakthroughs come from collaboration. We embrace cross-functional synergy , even when our teams differ in priorities. Our alignment of purpose ensures all efforts move us toward the same vision . 🔑 Own It – Nothing Is “Someone Else’s Problem” We take complete ownership — of problems, solutions, decisions, and outcomes. We act with integrity, initiative, and a bias toward action . 🌍 In Summary The future of construction is not built by chance — it is engineered by conviction, collaboration, and creativity . Through this Charter, we affirm our commitment to making MBT a living innovation — one that’s built on science, scaled through trust, and designed to serve people, planet, and purpose. Apply for Junior Rapid Prototype Production Engineer : G-form Link : https://forms.gle/exmRDG7DJ85Fsiui9

Selected Intern's Day-to-day Responsibilities Include System Design: Design and architect AI systems and models that address specific business needs or problems, including defining technical requirements and selecting appropriate technologies. Model Development: Develop and train machine learning and deep learning models using large datasets to perform tasks such as classification, regression, and natural language processing. Algorithm Selection: Choose and implement suitable algorithms and techniques for specific AI tasks, such as supervised learning, unsupervised learning, reinforcement learning, or neural networks. Data Preparation: Collect, clean, preprocess, and analyze data to ensure that it is suitable for training AI models. This may involve data augmentation, feature selection, and addressing data imbalances. Performance Evaluation: Assess the performance of AI models using metrics such as accuracy, precision, recall, and F1 score. Optimize models to improve performance and generalization. Deployment and Integration: Deploy AI models into production environments and integrate them with existing systems, ensuring they operate efficiently and effectively in real-world scenarios. Scalability and Optimization: Optimize AI models and systems for scalability and efficiency, addressing issues such as computational resource usage and response time. Collaboration: Work with cross-functional teams, including data scientists, software engineers, product managers, and domain experts, to understand requirements and deliver AI solutions. Research and Development: Stay updated with the latest advancements in AI and machine learning research, incorporating new techniques and tools into projects as appropriate. About Company: At Tax-O-Smart, we develop highly innovative and creative products and services that provide total tax and accounting solutions to all kinds of business structures.

Job Title: Senior Gen AI Engineer Location : Hyderabad Experience : 6–10 years Job Type : Full-time Reports To : Lead Data Scientist / Chief Scientist Job Overview We seek a Senior Gen AI Engineer with strong ML fundamentals and data engineering expertise to lead scalable AI/LLM solutions. This role focuses on integrating AI models into production, optimizing machine learning workflows, and creating scalable AI-driven systems. You will design, fine-tune, and deploy models (e.g., LLMs, RAG architectures) while ensuring robust data pipelines and MLOps practices. Key Responsibilities Agentic AI & Workflow Design : Lead design and implementation of Agentic AI systems and multi-step AI workflows. Build AI orchestration systems using frameworks like LangGraph. Utilize Agents, Tools, and Chains for complex task automation. Implement Agent-to-Agent (A2A) communication and Model Connect Protocol (MCP) for inter-model interactions. Production MLOps & Deployment : Develop, train, and deploy ML models optimized for production. Implement CI/CD pipelines (GitHub), automated testing, and robust observability (monitoring, logging, tracing) for Gen AI solutions. Containerize models (Docker) and deploy on cloud (AWS/Azure/GCP) using Kubernetes. Implement robust AI/LLM security measures and adhere to Responsible AI principles. AI Model Integration : Integrate LLMs and models from HuggingFace. Apply deep learning concepts with PyTorch or TensorFlow. Data & Prompt Engineering : Build scalable data pipelines for unstructured/text data. Design and implement embedding/chunking strategies for scalable data processing. Optimize storage/retrieval for embeddings (e.g., Pinecone, Weaviate). Utilize Prompt Engineering techniques to fine-tune AI model performance. Solution Development : Develop GenAI-driven Text-to-SQL solutions. Collaboration & Best Practices : Mentor junior team members on ML engineering best practices. Apply Agile/Scrum methodologies for project delivery. Required Skills & Qualifications Education : BS/BTech or Master's degree in Computer Science, Data Science, AI, or ML (or equivalent experience). Experience : 6+ years in ML + data engineering , with 2+ years in LLM/GenAI projects. 3+ years developing machine learning models. Technical Skills : Programming : Python. Foundation Model APIs : AzureOpenAI, OpenAI, Gemini, Anthropic, or AWS Bedrock. Agentic AI & LLM Frameworks : LangChain, LangGraph, A2A, MCP, Chains, Tools, Agents. Ability to design multi-agent systems, autonomous reasoning pipelines, and tool-calling capabilities for AI agents. MLOps/LLMOps : Docker , Kubernetes (K8s) , CI/CD , Automated Testing, Monitoring, Observability, Model Registries, Data Versioning. Cloud Platforms : AWS/Azure/GCP. Vector Databases : Pinecone, Weaviate, or similar leading platforms. Prompt Engineering . Security & Ethics : AI/LLM solution security, Responsible AI principles. Version Control : GitHub. Databases : SQL/NoSQL. Good to have : Reinforcement learning, multi-modal AI systems, complex reasoning frameworks (e.g., ReAct, Chain-of-Thought, planning algorithms). Experience in large-scale multi-agent coordination. Knowledge of deep learning frameworks such as PyTorch or TensorFlow. Experience with Feature Stores. Skills Matrix Candidates must submit a detailed resume and fill out the following matrix: Skill, Details, Skills Last Used, Experience (months), Self-Rating (0–10) Python (must) ML Engineering (must) SQL/NoSQL (must) LLM Frameworks (LangChain, LangGraph) (must) MLOps/LLMOps (Docker/K8s, CI/CD, Automated Testing, Monitoring, Observability, Model Registries, Data Versioning) (must) Cloud (AWS/Azure/GCP) (must) Vector Databases (e.g., Pinecone, Weaviate, or similar leading platforms) (must) Prompt Engineering (must) AI Agent Design (Chains, Tools) (must) A2A / MCP (highly preferred) GitHub (must) Security (AI/LLM, Responsible AI) Foundation Model APIs Reinforcement Learning Multi-modal AI systems Complex Reasoning Frameworks PyTorch / TensorFlow Feature Stores Instructions for Candidates : Provide a detailed resume highlighting projects related to LLMs, data engineering, MLOps, GenAI applications, and CI/CD with GitHub. Fill out the matrix above with accurate dates, experience duration, and self-ratings Please send your resume to jobs@SoothsayerAnalytics.com About Us: Soothsayer Analytics is a global AI & Data Science consultancy headquartered in Detroit, with a thriving delivery center in Hyderabad. We design and deploy end-to-end custom Machine Learning solutions—spanning predictive analytics, optimization, NLP, and GenAI—that help leading enterprises forecast, automate, and gain a competitive edge. Join us to tackle high-impact, cross-industry projects where your ideas move rapidly from concept to production, shaping the future of data-driven decision-making.

Company Description Black Coffee Robotics provides specialized software development services to robotics businesses on all aspects of autonomy. We are motivated by our passion for building cutting edge technology, and our ability to deliver high quality solutions to a global market. Our past projects include developing and deploying large scale autonomous robot software for fleets of warehouse robots, floor cleaners, lawn mowers, assistive arms, and boats. Additionally we provide specialized consulting, simulation and ROS/ROS2 development services. Job Description We're seeking a Robotics Engineer to join our team in developing software for a range of cutting-edge robotics applications. You'll be responsible for translating high-level objectives into high-performing, well-tested, and maintainable code while working with our talented engineering team. Responsibilities Develop, test and deploy robotics software solutions Stay current with latest robotics developments including Reinforcement Learning, simulations, and LLMs Contribute to and maintain open-source packages Develop software architectures for various robotics applications Provide code reviews and mentor junior developers/interns Support robot deployment and client interaction Take initiative in identifying and leading improvement opportunities Location This position is fully remote (within India) Required Qualifications 1-3 years of work experience in robotics software development Strong programming proficiency in C++ and Python Extensive experience with ROS2 development Deep understanding of core robotics concepts (SLAM, Controls, Planning, Transforms) Experience with simulation tools (Gazebo/ISAAC sim/Mujoco) Proficiency with development tools (Docker, Git) Excellent communication skills Entrepreneurial spirit - experience being part of a startup core team or leading a robotics club Self-motivated with demonstrated passion for robotics Strong ability to learn and adapt to new technologies What We Offer Opportunity to work with an exceptional team of engineers Direct client exposure and project management experience Competitive salary with strong growth potential Global impact through worldwide robot deployments Contributions to leading conferences and open-source projects Remote work flexibility with flexible hours Team offsites to exotic locations Chance to shape the strategic direction of a deep tech company

About Flutter Entertainment Flutter Entertainment is the world’s largest sports betting and iGaming operator with 13.9 million average monthly players worldwide and an annual revenue of $14Bn in 2024. We have a portfolio of iconic brands, including Paddy Power, Betfair, FanDuel, PokerStars, Junglee Games and Sportsbet. Flutter Entertainment is listed on both the New York Stock Exchange (NYSE) and the London Stock Exchange (LSE). In 2024, we were recognized in TIME’s 100 Most Influential Companies under the 'Pioneers' category—a testament to our innovation and impact. Our ambition is to transform global gaming and betting to deliver long-term growth and a positive, sustainable future for our sector. Together, we are Changing the Game! Working at Flutter is a chance to work with a growing portfolio of brands across a range of opportunities. We will support you every step of the way to help you grow. Just like our brands, we ensure our people have everything they need to succeed. Flutter Entertainment India Our Hyderabad office, located in one of India’s premier technology parks is the Global Capability Center for Flutter Entertainment. A center of expertise and innovation, this hub is now home to over 900+ talented colleagues working across Customer Service Operations, Data and Technology, Finance Operations, HR Operations, Procurement Operations, and other key enabling functions. We are committed to crafting impactful solutions for all our brands and divisions to power Flutter's incredible growth and global impact. With the scale of a leader and the mindset of a challenger, we’re dedicated to creating a brighter future for our customers, colleagues, and communities. Overview Of The Role Our Data Science and AI Competence Center is looking for a motivated and versatile expert, who will work on developing and deploying AI & machine learning solutions for our business. As a Junior Data Scientist (ML and AI) , you will collaborate with an industry-leading team and enhance your skills in delivering groundbreaking solutions to continue driving innovation. This role follows a hybrid approach to working, allowing you to combine working from home with working in our modern office in Hyderabad, India . What You Will Do Across areas such as Sports Betting, Gaming, and other products, you will have the opportunity to develop advanced ML Engineering solutions to streamline AI solutions , deploying a variety of algorithms in production and set ML-Ops standard together with the Data Scientists. Work with diverse teams to become an architect of innovation with AI, driving the company's strategic edge by transforming raw data into actionable insights in this dynamic and thrilling environment. To Excel In This Role, You Will Need A degree qualified in a STEM subject along with 2 t o 4 years of experience as a Data Scientist or ML Engineer . Proficiency in Python programming language and a deep understanding of statistical and machine learning techniques. Experience manipulating large datasets using SQL and Spark . Experience with “Big Data” platforms (Google Cloud, Amazon Web Services, Azure, Oracle Cloud) and engines (Apache Hadoop, Apache Kafka, Apache Spark) Experience delivering several production grade machine learning products in an academic or corporate environment is crucial. Hands-on experience in ML Techniques , such as tree-based learners, deep learning (e.g. CNNs, RNNs, GNNs & Transformers), reinforcement learning and/or unsupervised methods. Excellent ability to tell a story through data and explain technical concepts to partners. Ability to Manage ML-Ops lifecycle (deploy-monitor-maintain-evolve) Knowledge of ML-Ops/DevOps technology (Docker, Kubernetes, CI/CD pipeline…) Benefits We Offer Aside from a generous base salary, we have a phenomenal benefits and rewards program that is designed to encourage personal and career development. This Package Includes 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 the world’s largest sports betting and iGaming operator with 13.9 million average monthly players worldwide and an annual revenue of $14Bn in 2024. We have a portfolio of iconic brands, including Paddy Power, Betfair, FanDuel, PokerStars, Junglee Games and Sportsbet. Flutter Entertainment is listed on both the New York Stock Exchange (NYSE) and the London Stock Exchange (LSE). In 2024, we were recognized in TIME’s 100 Most Influential Companies under the 'Pioneers' category—a testament to our innovation and impact. Our ambition is to transform global gaming and betting to deliver long-term growth and a positive, sustainable future for our sector. Together, we are Changing the Game! Working at Flutter is a chance to work with a growing portfolio of brands across a range of opportunities. We will support you every step of the way to help you grow. Just like our brands, we ensure our people have everything they need to succeed. Flutter Entertainment India Our Hyderabad office, located in one of India’s premier technology parks is the Global Capability Center for Flutter Entertainment. A center of expertise and innovation, this hub is now home to over 900+ talented colleagues working across Customer Service Operations, Data and Technology, Finance Operations, HR Operations, Procurement Operations, and other key enabling functions. We are committed to crafting impactful solutions for all our brands and divisions to power Flutter's incredible growth and global impact. With the scale of a leader and the mindset of a challenger, we’re dedicated to creating a brighter future for our customers, colleagues, and communities. Overview Of The Role Our Data Science and AI Competence Center is looking for a motivated and versatile expert, who will work on developing and deploying AI & machine learning solutions for our business. As a Junior Data Scientist (ML and AI) , you will collaborate with an industry-leading team and enhance your skills in delivering groundbreaking solutions to continue driving innovation. This role follows a hybrid approach to working, allowing you to combine working from home with working in our modern office in Hyderabad, India . What You Will Do Across areas such as Sports Betting, Gaming, and other products, you will have the opportunity to develop advanced ML Engineering solutions to streamline AI solutions , deploying a variety of algorithms in production and set ML-Ops standard together with the Data Scientists. Work with diverse teams to become an architect of innovation with AI, driving the company's strategic edge by transforming raw data into actionable insights in this dynamic and thrilling environment. To Excel In This Role, You Will Need A degree qualified in a STEM subject along with 2 t o 4 years of experience as a Data Scientist or ML Engineer . Proficiency in Python programming language and a deep understanding of statistical and machine learning techniques. Experience manipulating large datasets using SQL and Spark . Experience with “Big Data” platforms (Google Cloud, Amazon Web Services, Azure, Oracle Cloud) and engines (Apache Hadoop, Apache Kafka, Apache Spark) Experience delivering several production grade machine learning products in an academic or corporate environment is crucial. Hands-on experience in ML Techniques , such as tree-based learners, deep learning (e.g. CNNs, RNNs, GNNs & Transformers), reinforcement learning and/or unsupervised methods. Excellent ability to tell a story through data and explain technical concepts to partners. Ability to Manage ML-Ops lifecycle (deploy-monitor-maintain-evolve) Knowledge of ML-Ops/DevOps technology (Docker, Kubernetes, CI/CD pipeline…) Benefits We Offer Aside from a generous base salary, we have a phenomenal benefits and rewards program that is designed to encourage personal and career development. This Package Includes 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 AiSensy AiSensy is a WhatsApp based Marketing & Engagement platform helping businesses like Adani, Delhi Transport Corporation, Yakult, Godrej, Aditya Birla Hindalco., Wipro, Asian Paints, India Today Group Skullcandy, Vivo, Physicswallah, Cosco grow their revenues via WhatsApp. Enabling 100,000+ Businesses with WhatsApp Engagement & Marketing 400Crores + WhatsApp Messages done between Businesses and Users via AiSensy per year Working with top brands like Delhi Transport Corporation, Vivo, Physicswallah & more High Impact as Businesses drive 25-80% Revenues using AiSensy Platform Mission-Driven and Growth Stage Startup backed by Marsshot.vc, Bluelotus.vc & 50+ Angel Investors About the Role We are seeking a highly skilled and innovative AI/ML Engineer to join our dynamic team. In this role, you will design, develop, and deploy cutting-edge artificial intelligence (AI) solutions, leveraging advanced machine learning (ML) techniques and AI frameworks to address complex business challenges. You will work closely with cross-functional teams to build intelligent systems and drive innovation, with a focus on implementing and optimizing modern AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents. Key Responsibilities AI Model Development Design, develop, and optimize AI solutions, including LLMs , RAG architectures , and Graph-based RAG systems , tailored to specific business needs. Develop and fine-tune models for tasks such as Natural Language Processing (NLP) , Computer Vision , and Reinforcement Learning (RL) . Prompt Engineering and AI Agents Work with prompt optimization to enhance LLM-based responses for specific use cases. Develop autonomous AI agents capable of completing multi-step tasks with minimal human intervention. Data Processing and Management Collect, clean, preprocess, and organize datasets for effective AI and ML model training and evaluation. Leverage graph databases and vector stores for efficient data retrieval in AI-driven systems. Algorithm Selection and Optimization Choose and implement appropriate algorithms, considering constraints such as scalability, interpretability, and real-time deployment requirements. Conduct hyperparameter tuning and optimization experiments to maximize model efficiency and accuracy. Deployment and Integration Deploy AI/ML models in production-grade environments , ensuring scalability, reliability, and seamless integration with existing systems. Implement model monitoring pipelines to ensure performance consistency over time. Research and Development Stay abreast of the latest trends and advancements in AI and ML technologies, such as transformer architectures , diffusion models , and multi-modal AI . Experiment with emerging tools like LangChain , Hugging Face , and OpenAI APIs to innovate solutions. Collaboration and Knowledge Sharing Work closely with data scientists, software engineers, and product managers to define project requirements and deliver impactful AI solutions. Document workflows, processes, and findings to enable knowledge sharing and continuity across teams. Required Qualifications Education Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, Mathematics, or a related field. Experience Minimum 3+ years in AI/ML roles with a proven track record in building and deploying AI-driven solutions. Technical Proficiency Proficiency in Python and AI/ML frameworks like TensorFlow , PyTorch , scikit-learn , or Keras . Experience working with LLMs , transformers , and generative AI tools . Familiarity with cloud platforms such as AWS , Google Cloud , or Azure , including AI-focused services like SageMaker and Vertex AI. Knowledge of vector databases (e.g., Pinecone, Milvus, Weaviate) and graph databases for RAG systems. Analytical Expertise Strong understanding of advanced statistical methods , mathematical concepts , and probabilistic models . Ability to analyze and interpret data for actionable insights and model improvements. Soft Skills Exceptional problem-solving and critical-thinking abilities. Strong communication skills to effectively collaborate with cross-functional teams. Adaptability to a fast-paced, innovation-driven environment. Preferred Qualifications Hands-on experience with LangChain , Hugging Face Transformers , or OpenAI API integrations . Expertise in specialized AI domains like multi-modal learning, conversational AI , and prompt engineering . Contributions to open-source AI projects or publications in recognized AI/ML conferences or journals. Familiarity with deploying AI Agents in production systems.

SUMMARY Tile Mason Responsibilities: Surface Preparation: Ensuring the surface area to be tiled is clean and level. Applying mortar, cement, or adhesives for proper tile bonding. Tile Layout and Design: Measuring and marking surfaces for work layout. Cutting tiles to fit around obstacles and into irregular spaces using hand and power tools. Aligning tiles and patterns according to design specifications. Installation: Setting tiles in place and ensuring proper alignment and spacing. Tapping tiles into place to ensure adhesion and even surface. Using spacers for uniform grout lines. Grouting and Finishing: Applying grout between tiles and wiping off excess. Sealing surfaces, edges, and joints as necessary. Polishing and cleaning finished work. Material Handling: Selecting and mixing appropriate tile adhesive or mortar. Cutting and shaping tiles as needed for corners, curves, and other non-standard areas. Maintenance and Repair: Removing and replacing broken or damaged tiles. Re-grouting and resealing tiles to maintain surface integrity. Safety and Compliance: Following safety guidelines and wearing protective gear. Ensuring work complies with building codes and customer specifications. Customer Interaction (if applicable): Discussing project requirements and progress with clients or supervisors. Offering suggestions on tile selection, patterns, or layout. Requirements Requirements: Minimum 3 years of experience in tile masonry.

Designation: Computer Vision Engineer Location: Noida Experience: 3+ years Industry: AI Product Role and Responsibilities: Model Development: Design, train, test, and deploy machine learning models using frameworks like Pytorch and TensorFlow, specifically for virtual try-on applications with a focus on draping and fabric simulation. Task-Specific Modeling: Build models for tasks such as Natural Language Processing (NLP), Speech-to-Text (STT), and Text-to-Speech (TTS) that integrate seamlessly with computer vision applications in the virtual try-on domain. Image Processing: Implement advanced image processing techniques including enhancement, compression, restoration, filtering, and manipulation to improve the accuracy and realism of draping in virtual try-on systems. Feature Extraction & Segmentation: Apply feature extraction methods, image segmentation techniques, and draping algorithms to create accurate and realistic representations of garments on virtual models. Machine Learning Pipelines: Develop and maintain ML pipelines for data ingestion, processing, and transformation to support large-scale deployments of virtual try-on solutions. Deep Learning & Draping: Build and train convolutional neural networks (CNNs) for image recognition, fabric draping, and texture mapping tasks crucial to the virtual try-on experience. AI Fundamentals: Leverage a deep understanding of AI fundamentals, including machine learning, computer vision, draping algorithms, and generative AI (Gen AI) techniques to drive innovation in virtual try-on technology. Programming: Proficiently code in Python and work with other programming languages like Java, C++, or R as required. Cloud Integration: Utilize cloud-based AI platforms such as AWS, Azure, or Google Cloud to deploy and scale virtual try-on solutions, with a focus on real-time processing and rendering. Data Analysis: Perform data analysis and engineering to optimize the performance and accuracy of AI models, particularly in the context of fabric draping and garment fitting. Continuous Learning: Stay informed about the latest trends and developments in machine learning, deep learning, computer vision, draping technologies, and generative AI (Gen AI), applying them to virtual try-on projects. Skills Required: Experience: Minimum of 4 years in Computer Vision Engineering or a similar role, with a focus on virtual try-on, draping, or related applications. Programming: Strong programming skills in Python, with extensive experience in Pytorch and TensorFlow. Draping & Fabric Simulation: Hands-on experience with draping algorithms, fabric simulation, and texture mapping techniques. Data Handling: Expertise in data pre-processing, feature engineering, and data analysis to support high-quality model development, especially for draping and virtual garment fitting. Deep Neural Networks & Gen AI: Extensive experience in working with Deep Neural Networks, Generative Adversarial Networks (GANs), Conditional GANs, Transformers, and other generative AI techniques relevant to virtual try-on and draping. Advanced Techniques: Proficiency with cutting-edge techniques like Stable Diffusion, Latent Diffusion, InPainting, Text-to-Image, Image-to-Image models, and their application in computer vision and virtual try-on technology. Algorithm Knowledge: Strong understanding of machine learning algorithms and techniques, including deep learning, supervised and unsupervised learning, reinforcement learning, natural language processing, and generative AI.

This role is for one of our clients Industry: Technology, Information and Media Seniority level: Associate level Min Experience: 3 years JobType: full-time About The Role Are you ready to redefine how people interact with technology using natural language? We’re looking for a visionary Principal Engineer – Conversational AI & Voice Systems to spearhead the development of intelligent, real-time voice-based agents. In this role, you'll leverage your deep expertise in machine learning, natural language processing, and speech technologies to craft next-gen AI calling experiences that feel truly human. You’ll join a high-performing team working at the intersection of AI, linguistics, and software engineering. Your innovations will empower millions of customer interactions, driving engagement, satisfaction, and business value through intelligent, lifelike conversations. What You’ll Do 🎯 Architect & Lead Voice AI Solutions Design, prototype, and productionize end-to-end voice agent systems combining TTS, ASR, NLP, and ML models. Drive decisions around system design, architecture, and performance optimization for low-latency, real-time interactions. 🧠 Advance AI Conversation Models Build and fine-tune neural TTS models to deliver expressive, human-like speech. Develop context-aware dialogue systems using transformer-based NLP frameworks for robust understanding and dynamic response generation. Implement reinforcement learning or statistical techniques to optimize dialogue flow and personalization. 📊 Data-Driven Improvement Analyze structured and unstructured conversation data to identify model gaps and train higher-accuracy ML models. Collaborate with linguistic, annotation, and product teams to continuously improve language coverage, tone, and content alignment. 🛠️ Cross-Functional Collaboration Partner with backend engineers, DevOps, linguists, and product teams to ensure smooth integration and deployment. Work closely with voice UX designers to refine the end-user experience. 🧪 Innovation & R&D Stay ahead of the curve with advancements in speech synthesis (e.g., Tacotron, FastSpeech), NLP (e.g., BERT, GPT), and generative AI. Lead proof-of-concept initiatives and experimental model development. What You Bring ✔️ Core Qualifications 4–7 years of hands-on experience in developing conversational AI, voice interfaces, or speech-driven systems. Strong expertise in Python and ML/NLP libraries such as PyTorch, TensorFlow, HuggingFace Transformers, or spaCy. Deep understanding of speech synthesis, voice cloning, acoustic modeling, or signal processing. Track record of deploying production-grade NLP or speech AI pipelines. Solid grasp of dialogue management, context tracking, and natural language understanding. 🌐 Bonus Experience Experience with real-time voice agents, latency optimization, or telephony integrations. Familiarity with cloud services (AWS/GCP/Azure) and APIs for voice platforms (Dialogflow, Amazon Lex, Twilio Voice, etc.). Background in computational linguistics or multi-lingual AI systems. 🎓 Education Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field. PhD is a plus. Why Join Us Help build the future of intelligent voice systems that feel intuitive, emotional, and human. Collaborate with experts across AI, product, and design to shape a new category of human-tech interaction. Access cutting-edge resources, tools, and compute infrastructure for experimentation and scale. Be part of a mission-driven organization where your work directly transforms user experience at scale.

Who We Are Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Coinbase, Okta executives and serial entrepreneurs. We’ve raised capital from notable investors such as Accel Partners, Naspers, Section32 and a host of prominent Silicon Valley Angels including Sheryl Sandberg (Facebook/Google), Divesh Makan (Iconiq Capital), Jerry Yang (Yahoo), Dustin Moskovitz (Facebook/Asana), David Baszucki (Roblox CEO) and Gokul Rajaram (Doordash, Square, Google). Our team is a powerhouse of talent, comprising engineers from leading tech companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. All our team members hail from top-tier educational institutions such as Stanford, MIT, UC Berkeley, CMU and Indian Institute of Technology. We’re well funded by the top investors and angels in the world. Ema is based in Silicon Valley and Bangalore, India. This will be a hybrid role where we expect employees to work from office three days a week. Who You Are We're looking for an innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related Machine Learning technologies. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You Will Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems. Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems. Lead the processing and analysis of large, complex datasets (structured, semi-structured, and unstructured), and use your findings to inform the development of our models. Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment. Implement A/B testing and other statistical methods to validate the effectiveness of models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. Clearly communicate the technical workings and benefits of ML models to both technical and non-technical stakeholders, facilitating understanding and adoption. Ideally, You'd Have A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field. Proven industry experience in building and deploying production-level machine learning models. Deep understanding and practical experience with NLP techniques and frameworks, including training and inference of large language models. Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems and experience in how to build them for large systems. Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch. Excellent skills in data processing (SQL, ETL, data warehousing) and experience working with large-scale data systems. Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practices. Familiarity with cloud platforms like GCP or Azure. Familiarity with the latest industry and academic trends in machine learning and AI, and the ability to apply this knowledge to practical projects. Good understanding of software development principles, data structures, and algorithms. Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. The ability to work collaboratively in an extremely fast-paced, startup environment. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

Our Story Building a new company in the recession of 2007 was no ordinary task. Yet with passion and foresight, we charted our course, helping to transform the way consumers engage with their phones. Over the last 17 years, InMobi has built a global Advertising Platform that powers our customers’ growth by helping them engage their audiences and drive real connections. InMobi has also built a second unicorn, Glance, which is advancing digital consumption and creating a new wave of disruption. Present on 400M devices across India, SEA, Japan and the US – Glance is one of the largest content platforms globally with~200M daily active users. Position Summary There are 8 billion interactions a day by people with our recommendations. That’s 5 million a minute! We see the success of our models and experiments astonishingly quickly – our learning loop is not measured in weeks or days. It is hours and minutes. We live in what might be the fastest model-learning playgrounds in the world. We have built an infrastructure that enables model deployment at scale and speed. As data scientists, we sit alongside engineering colleagues who enable our models to deploy. Combine this with our growing variable set of hundreds of potential features (and growing!), and this is a highly fertile environment for building, experimenting, refining and achieving real impact from your models. If models fire, the bottom-line impact to our teams is immediate – you see the value of your work incredibly fast. Who Are You? At a Staff level and above, our scientists are expected to come in with deep expertise and experience in Ad Tech, AI/ML, and Data Science, particularly at scale. Familiarity with big data processing and cloud computing will be critical to succeed in this environment. In addition to possessing a mathematical aptitude, they need to be competent with data science languages and tools, such as Python or Apache Spark which will enable them to design scalable solutions for our advertising products, implement proof-of-concept, and evaluate them offline and online. They will also need to work with other engineers to take these solutions to live production and drive real business value. Most importantly, we look for a passion to investigate and learn about the world from data, to ask interesting and provocative questions, and be driven to put real models into production that drive real business value. We are open to diverse academic backgrounds, providing an intent to think and problem-solve like a data scientist. Our team includes engineers, mathematicians, computer scientists, physicists, economists and social scientists – a rock-star data scientist can come from any academic field. Required Master’s in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or Economics, Analytics, Data Science. Or Bachelor's with additional experience. 10+ years of ad tech related industry experience working in Data Science teams. You would have applied algorithms and techniques such as NLP, Reinforcement Learning, Time Series, etc. from Machine Learning, Deep Learning, and Statistics or other domains in solving real world problems and understand the practical issues of using these algorithms especially on large datasets. Comfortable with software programming and statistical platforms such as R, Python etc. Comfortable with the big data ecosystem and Apache Spark. Familiarity with Microsoft Azure, AWS, or Google Cloud/Vertex AI will be a bonus. Comfortable collaborating with cross-functional teams. Familiarity with challenges of the identity-less world, particularly for iOS and Android Excellent technical and business communication skills and should know how to present technical ideas in a simple manner to business counterparts. Possess a high degree of curiosity and ability to rapidly learn new subjects and What will you do? You will be responsible for leading one or more data science efforts for one of the biggest performance DSPs in the world. This involves project ideation and conceptualization, solution design, measurement and solution iteration, coaching, deployment and post deployment management. This will also include designing, development, testing of product experiments. You will need to guide junior members of the team in practical experiments, product design, model development and model evaluation. It is vital to be agile and iterate fast across experiment to deliver go-to-market ready products. You are expected to be a hands-on part of the role where you will also actively analyse data, design and develop models, and problem-solve solutions with the rest of the team. Additionally, stakeholder management is needed. It will involve being the interface with internal stakeholders such as our Product, Engineering, Data, Infrastructure, and Business teams. Our team strives for thought leadership in the sector. We encourage and support all team members to write blogs, commentary and case studies published on the InMobi blog. We also support team members across our MLAI team to speak at industry conferences and represent InMobi’s work. You will learn how to design and build models for specific business problems. Even before that, you will be responsible for identifying the problem areas where AI can be applied to best business impact. You will learn to start a model design by anchoring in the business context and end user needs. You will learn how to connect model impact with real and measurable business impact. You will work in a multi-functional team environment. You will collaborate and benefit from the skills of a diverse group of individuals from teams such as engineering, product, business, campaign management and creative development. You will have the opportunity to experiment with multiple algorithms. Enduring learning comes from building, launching and reviewing performance of a particular algorithm; from asking why something worked or why it did not work; from asking how to tailor techniques to fit the problem at hand. We have an environment that makes this possible at speed. Importantly, you will learn to become creative in designing models to be successful. Model design is not one-size-fits-all. Our models need to fit our particular problems and be modified to perform. Tougher problems require layers of models, and feedback mechanisms in a dynamic environment such as ours. We are a company that innovates and demonstrates our thought leadership to the world, whether in products, research papers or conferences – there are many opportunities for you to shine. What does InMobi do? InMobi is one of the largest Independent Adtech player globally with a record of accomplishment for innovation, customer centricity and privacy first approach, we have been recognized on both 2018 and 2019 CNBC disruptor 50 list and as one of the Fast Company’s 2018’s most innovative company. InMobi is an equal opportunity employer InMobi is a place where everyone can grow. So however you identify and whatever background you bring with you, we invite you to apply if this sounds like a role that would make you excited to get to work every day. InMobi provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training." The InMobi Culture At InMobi, culture isn’t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences. We thrive on challenges and seize every opportunity for growth. Our core values of thinking big, being passionate, showing accountability, and taking ownership with freedom —guide us in every decision we make. We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. InMobi is proud to be an Equal Employment Opportunity and we make reasonable accommodations for qualified individuals with disabilities. Visit https://www.inmobi.com/company/careers to better understand our benefits, values and more!

Your Team Responsibilities Development of Scalable and Efficient AI-Driven Solutions Create AI solutions that address complex business challenges. Ensure solutions are scalable to handle large data volumes and efficient in performance. Development and Maintenance of Index Data Platforms Build and sustain platforms that generate and manage Index data. Integrate data from various sources, maintain data accuracy, and ensure reliability. Development of Data Science-Based Solutions for Quality Check of Data Points Ensure the accuracy and reliability of delivered data through advanced data science techniques. Implement metrics, detect anomalies, and validate data points to maintain high data quality. Your Key Responsibilities2. Development of AI and Data Science-Based Solutions for Quality Check of Data Points delivered to downstream Development of Scalable and Efficient AI-Driven Solutions Create AI/ML solutions that address complex business challenges. Understand business use cases and identify where and how AI can add value. Design, train, and validate machine learning models tailored to specific business needs. Design solutions leveraging generative AI and LLM. Build cost effective,scalable and high quality data solutions which will be used for critical Index products Ensure solutions can handle large volumes of data and scale with business growth. Optimize models and algorithms for performance and resource utilization. Ensure the accuracy and reliability of data through advanced data science techniques. Define and implement metrics to assess data quality. Develop models to detect anomalies and inconsistencies in data. Create automated processes to validate data points against predefined standards. Continuously refine quality check methods based on feedback and new insights. Your Skills And Experience That Will Help You Excel Artificial Intelligence (AI) and Machine Learning (ML) Understanding of machine learning algorithms, deep learning, neural networks, and reinforcement learning. Understanding and experience on Generative AI. Proficiency in working with large language models like GEMINI,GPT, BERT, and their variants. Experience in fine-tuning and deploying these models for various applications. Familiarity with frameworks like TensorFlow, PyTorch, and Keras. Programming Languages Python: Proficiency in Python for data manipulation, model development, and automation. Experience with libraries such as NumPy, pandas, scikit-learn, and matplotlib. Java (Good to have) : Strong skills in Java for building scalable and efficient applications. Knowledge of Java frameworks like Spring. Oracle (Good to have): Expertise in Oracle databases, including SQL and PL/SQL. Experience in database design, optimization, and management. Data Enginering and Cloud Solutions Proficiency in cloud platforms like Azure or Google Cloud. Leveraging cloud services for flexibility, scalability, and cost-efficiency Experience with data warehousing solutions and other cloud based data storage solutions Experience in Kubernetes and service or event driven architectures About MSCI What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

🚨 #JRF position at NIT Rourkela and the opportunity to convert it into a PhD program. Applications are invited from motivated and eligible candidates for the position of Junior Research Fellow (JRF) to work on a research project funded by #ANRF #SERB under the supervision of Dr Vinay Bankey at 📍 the Department of ECE, NIT Rourkela. 🎯Title of the Project: Design and Development of Intelligent Physical Layer Security Techniques for Non-Terrestrial Network-based Communications ✅Application Deadline: 02-Jul-2025 📅Duration: Initially for 1 year (extendible up to 3 years also can be converted into PhD. ✅Essential Qualifications Candidates must meet one of the following criteria: 👈M.Tech/M.E./M.S. (with GATE qualification) in Electronics and Communication, Electrical and Electronics, Electrical, Electronics, Instrumentation, Computer Science and Engineering, or similar, with specialization in Electronics, Communication, Signal Processing, or related fields. Minimum 60% marks or 6.5/10 CGPA in both B.E./B.Tech. and M.E./M.Tech. 👈B.E./B.Tech. in Electronics, Electronics and Communication, Electronics and Telecommunication, Electrical and Electronics, Electronics Instrumentation, Electrical Engineering, Computer Science Engineering, or similar, with minimum 65% marks or 7.0/10 CGPA and a valid GATE score. 👈M.Sc. (with GATE/NET/GPAT) in Electronics or similar, with 65% marks or 7.0/10 CGPA. ✅Who should apply? Candidates with a background in: 👈Passion for telecommunications security, particularly in 5G/6G, wireless networks, software-defined networks (SDNs), non-terrestrial networks (NTN), and satellite communications. 👈Knowledge of Digital Communications, Wireless Networks, and/or related areas. 👈Strong understanding of AI/ML algorithms, including classification, regression, clustering, reinforcement learning (RL), and deep learning (DL). Excellent written and verbal communication skills; strong analytical and technical problem-solving abilities. 👈Proficiency in programming languages such as MATLAB, C++, Python, and scripting languages. 🔗 Application Link: https://lnkd.in/gevvHS9m Eligible candidates may send their detailed CV, mark sheets, and relevant certificates in a single PDF file via email to bankeyv@nitrkl.ac.in with the subject line “Advertisement No.: NITR/SR/2025/Advt.-24EC049/L/037”. 📄 Please check the attached post for more details. ✉️ For any queries, feel free to reach out to me at: bankeyv@nitrkl.ac.in; vinaybankey@ieee.org.in

Job Description: Communications Manager – Change & Enablement Please find the JD below Location: Remote Np: Immediate Relevant Exp: 5+ years of experience in communications or change management, Strong writing, editing, and storytelling skills, - Proficiency with Microsoft 365 tools (Word, PowerPoint, SharePoint, Teams), Adobe Creative Suite - Mandatory - Experience with visual design and formatting tools (e.g., PowerPoint, Adobe Creative Suite) - Ability to manage multiple projects and deadlines in a fast-paced environment Visual and Multimedia Support - Designs visuals, edits videos, and prepares presentation materials to enhance communication effectiveness. Key Responsibilities 1. Internal Communications & Content Development - Owns the creation of internal communications including newsletters, announcements, and leadership messages (e.g., Full Scope, Newsletters, and executive communications), supporting Enablement Leads and their change and communication initiatives, as well as the organization leader and change management lead in coordinating and standardizing the material. - Formats and finalizes content for publications, ensuring alignment with company policies and ISD tone and branding. - Develops and maintains SharePoint pages, FAQs, and landing decks for change initiatives. - Collaborate with Change Practitioners and Project Managers to execute change plans using tools like the ISD Change Management Plan Template and Change management checklist. - Reviews Full Scope stories, leadership slide decks, and readiness materials for clarity, conciseness, and interest, as well as editing. 2. Program Coordination & Stakeholder Engagement - Partners with Enablement Leads to collate field feedback, align messaging, and support adoption of new tools and processes. - Coordinates with Enablement Leads and Change Management Lead to ensure timely delivery of communications and readiness assets, aligned to standards, guidance, and best practices. - Supports project closeout through document, site, and FAQ cleanup and archival. 3. Visual and Multimedia Support - Designs visuals, edits videos, and prepares presentation materials to enhance communication effectiveness. - Supports “Reinforcement” activities (celebrate success, close-out messages, etc.) by translating impact stories into compelling narratives, connecting to supporting readiness materials, documentation, and FAQs

Job Title: Senior Python Developer – Trading Systems & Market Data Experience: 3–4 Years Location: Hyderabad, Telangana (On-site) Employment Type: Full-Time About the Role: We are seeking a Senior Python Developer with 3–4 years of experience and a strong understanding of stock market dynamics, technical indicators, and trading systems. You’ll take ownership of backtesting frameworks, strategy optimization, and developing high-performance, production-ready trading modules. The ideal candidate is someone who can think critically about trading logic, handle edge cases with precision, and write clean, scalable, and testable code. You should be comfortable working in a fast-paced, data-intensive environment where accuracy and speed are key. Key Responsibilities: Design and maintain robust backtesting and live trading frameworks. Build modules for strategy development, simulation, and optimization. Integrate with real-time and historical market data sources (e.g., APIs, databases). Use libraries like Pandas, NumPy, TA-Lib, Matplotlib, SciPy, etc., for data processing and signal generation. Apply statistical methods to validate strategies (mean, regression, correlation, standard deviation, etc.). Optimize code for low-latency execution and memory efficiency. Collaborate with traders and quants to implement and iterate on ideas. Use Git and manage codebases with best practices (unit testing, modular design, etc.). Required Skills & Qualifications: 3–4 years of Python development experience, especially in data-intensive environments. Strong understanding of algorithms, data structures, and performance optimization. Hands-on with technical indicators, trading strategy design, and data visualization. Proficient with Pandas, NumPy, Matplotlib, SciPy, TA-Lib, etc. Strong SQL skills and experience working with structured and time-series data. Exposure to REST APIs, data ingestion pipelines, and message queues (e.g., Kafka, RabbitMQ) is a plus. Experience in version control systems (Git) and collaborative development workflows. Preferred Experience: Hands-on experience with trading platforms or algorithmic trading systems. Familiarity with order management systems (OMS), execution logic, or market microstructure. Prior work with cloud infrastructure (AWS, GCP) or Docker/Kubernetes. Knowledge of machine learning or reinforcement learning in financial contexts is a bonus. What You’ll Get: Opportunity to work on real-world trading systems with measurable impact. A collaborative and fast-paced environment. A role where your ideas directly translate to production and trading performance. Job Type: Full-time Pay: ₹400,000.00 - ₹900,000.00 per year Location Type: In-person Schedule: Day shift Work Location: In person

Job Title: Content Head Positions Vacant - 5 Subjects: Mathematics, Physics, Chemistry, Biology, Mental Ability Location: Madhapur, Hyderabad Organization: Resonance Schools Job Description: We are looking for dynamic and experienced Content Heads for our core academic subjects. The ideal candidate will be responsible for planning, designing, handle direct classroom teaching for secondary and ensuring effective academic delivery across Grades 6 to 10 in alignment with school and competitive curricula of JEE & NEET. Key Responsibilities: Academic Content Development Design weekly assessments, worksheets, and reinforcement materials for classroom and weekend testing Prepare yearly and monthly academic planners based on curriculum and learning objectives Review and align content with competitive exam standards (Olympiad / JEE / NEET / NTSE) wherever applicable Academic Planning & Monitoring Collaborate with teachers to ensure effective lesson delivery as per plan Conduct regular class observations and provide actionable feedback Generate academic audit reports and performance insights for each subjectTeacher Support & Training Conduct subject enrichment workshops for teachers Share teaching strategies, content resources, and remediation plans Support in developing differentiated content for various student levelsCurriculum Implementation Oversight Ensure adherence to syllabus coverage timelines Coordinate with the academic head to address content gaps or improvements Participate in school-level academic strategy meetings Qualifications & Experience: Master’s Degree in the relevant subject & B.Ed in respective subjects Minimum 4–6 years of teaching or academic content creation experience Experience in competitive exams is a must Key Skills: Strong subject expertise and content writing skills Academic planning and documentation Classroom observation and feedback delivery Familiarity with school curriculum + competitive alignment Strong communication and team coordination Job Type: Full-time Pay: ₹35,000.00 - ₹75,000.00 per month Benefits: Health insurance Leave encashment Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

JOB DESCRIPTION AI Lead - Innovation & Product Development About Us KPMG is a dynamic and forward-thinking Professional service firm committed to leveraging cutting-edge artificial intelligence to create transformative products and solutions. We are building a team of passionate innovators who thrive on solving complex challenges and pushing the boundaries of what's possible with AI. Job Summary We are seeking an experienced and visionary AI Lead to spearhead our AI innovation and product development. The ideal candidate will be a hands-on leader with a strong background in solution architecture, a proven track record in developing AI-based products, and deep expertise in Generative AI applications, including Agentic AI. This role requires a comprehensive understanding of AI models, frameworks, and Agentic AI, along with exposure to GPU infrastructure, to design, build, and deploy scalable AI solutions. You will drive our AI strategy, lead cross-functional teams, and transform complex ideas into tangible, market-ready products, with a strong understanding of enterprise requirements from a professional services perspective. Key Responsibilities Strategic Leadership & Innovation: o Define and drive the AI innovation roadmap, identifying emerging trends in AI, Generative AI and Agentic AI. o Lead research, evaluation, and adoption of new AI models, algorithms, and frameworks. o Foster a culture of continuous learning, experimentation, and innovation. AI Product Development & Management: o Lead end-to-end development of AI-based products, from ideation to deployment and optimization. o Collaborate with product managers, designers, and stakeholders to translate business requirements into viable AI solutions. o Ensure successful delivery of high-quality, scalable, and performant AI products. o Client Engagement & Solutioning: Work with multiple clients to understand requirements, design tailored AI solutions, develop proofs-of-concept (POCs), and ensure successful implementation in a professional services context. Solution Architecture & Design: o Design robust, scalable, and secure AI solution architectures across multi-cloud platforms and on-premise infrastructure. o Provide technical guidance and architectural oversight for AI initiatives, focusing on optimizing for GPU infrastructure . o Evaluate and recommend AI technologies, tools, and infrastructure, including Large Language Models (LLMs) and Small Language Models (SLMs) on cloud and on-premise. Team Leadership & Mentorship: o Lead, mentor, and grow a team of talented AI engineers, data scientists, and machine learning specialists. o Conduct code reviews and ensure adherence to coding standards and architectural principles. o Promote collaboration and knowledge sharing. Technical Expertise & Implementation: o Hands-on experience in developing and deploying Generative AI applications (e.g., LLMs, RAG, GraphRags , image generation, code generation), including Agentic AI and Model Context Protocol (MCP). o Proficiency with Agentic AI orchestration frameworks such as LangChain, LlamaIndex, and/or similar tools. o Experience with leading LLM providers and models including OpenAI, Llama, Anthropic, and others. o Familiarity with AI-powered tools and platforms such as Microsoft Copilot, GitHub Copilot etc. o Strong understanding of various machine learning models (deep learning, supervised, unsupervised, reinforcement learning). o Experience with large datasets, ensuring data quality, feature engineering, and efficient data processing for AI model training. o Deep understanding of GPU infrastructure, for AI model training or/ and inference. Qualifications Bachelor's or Master's degree in Computer Science, AI, ML, Data Science, or a related quantitative field. 8+ years in AI/ML development, with at least 3 years in a leadership or lead architect role. Mandatory: Proven experience in leading the development and deployment of AI-based products and solutions. Mandatory: Extensive hands-on experience with Generative AI models and frameworks (e.g., TensorFlow, PyTorch, Hugging Face, OpenAI APIs, etc.), including practical application of Agentic AI. Proficiency with Agentic AI orchestration frameworks such as LangChain, LlamaIndex, and/or similar tools. Experience in leveraging and integrating various LLM providers and models, including but not limited to OpenAI, Llama, and Anthropic. Familiarity with AI-powered development tools and platforms such as Microsoft Copilot, GitHub Copilot, and other code generation/assistance tools. Strong understanding of solution architecture principles for large-scale AI systems, including multi-cloud platforms and on-premise deployments. Mandatory: Exposure to and understanding of GPU infrastructure, especially NVIDIA, for AI workloads. Experience with Large Language Models (LLMs) and Small Language Models (SLMs) on both cloud and on-premise environments. Proficiency in programming languages such as Python, with strong software engineering fundamentals. Familiarity with MLOps practices, including model versioning, deployment, monitoring, and retraining. Mandatory: Demonstrated industry exposure to professional services, with a proven track record of working with multiple clients to solution requirements, conduct POCs, and understand enterprise-level needs. Excellent communication, interpersonal, and presentation skills, with the ability to articulate complex technical concepts to diverse audiences. Strong problem-solving abilities and a strategic mindset. What We Offer Opportunity to work on cutting-edge AI technologies and shape the future of our products. A collaborative and innovative work environment. Competitive salary and benefits package. Professional development and growth opportunities. The chance to make a significant impact on our business and our customers. If you are a passionate AI leader with a drive for innovation and a desire to build groundbreaking AI products, we encourage you to apply!