5391 Physics Jobs - Page 49

Job Title: Science Teacher Job Location: Mohada, Maharashtra Salary: ₹18,000 to ₹22,000 per month Job Code: ST7025 Job Description: We are seeking a passionate and knowledgeable Science Teacher to join our team. The ideal candidate will integrate Physics, Chemistry, Biology, and General Science into cohesive lessons aligned with NCERT guidelines for classes 6 to 8. Key Responsibilities: Conduct well-structured and engaging lessons aligned with the NCERT syllabus. Engage students using ICT tools and interactive teaching methods to simplify complex topics Deliver constructive feedback and facilitate the holistic development of students. Coordinate with academic coordinators to develop and revise teaching schedules and lesson plans. Desired Qualifications: Bachelor’s or Master’s Degree in Science (Physics, Chemistry, Biology, or General Science). B.Ed. degree or relevant teaching experience preferred. Proficient communication and presentation skills in English. Additional Benefits: Food and accommodation provided Relocation assistance provided Kindly forward your CV with the job code mentioned to info@7arcglobal.com or contact us at 9074109491. Job Types: Full-time, Permanent Pay: ₹18,000.00 - ₹22,000.00 per month Benefits: Food provided Application Question(s): Are you willing to relocate to Mohada, Maharashtra, with employer-provided food and accommodation? Education: Master's (Required) Work Location: In person

Tata Electronics Private Limited (TEPL) is a greenfield venture of the Tata Group with expertise in manufacturing precision components. Tata Electronics (a wholly owned subsidiary of Tata Sons Pvt. Ltd.) is building India’s first AI-enabled state-of-the-art Semiconductor Foundry. This facility will produce chips for applications such as power management IC, display drivers, microcontrollers (MCU) and high-performance computing logic, addressing the growing demand in markets such as automotive, computing and data storage, wireless communications and artificial intelligence. Tata Electronics is a subsidiary of the Tata group. The Tata Group operates in more than 100 countries across six continents, with the mission 'To improve the quality of life of the communities we serve globally, through long term stakeholder value creation based on leadership with Trust.’ Responsibilities: Device Engineering responsibilities for transfer of 28-90nm technologies from partner facilities. Work with Fab integration team to enable smooth transfer Device Engineering responsibilities for feature additions and improvements to 28-90nm technologies (improving leakage, performance, RF/Power FOM’s, Auto Grade Qualification, etc) Assist Business team in performance targets and cost analysis Work with Integration team on test chip layouts Responsible for meeting project performance requirements Build and lead a cross functional team across diverse geographies Build strong customer relationships based on confidence in TEPL technical capabilities Competitor benchmarking and Roadmap development Presentation to internal and customer senior executives Travel – as necessary Essential Attributes: Ability to manage, mentor, and lead a team of highly motivated professionals. Able to work independently, self-motivated with a strong drive to win. Team player with the ability to work across diverse cross-functional teams spread across the world. Leadership skills to influence all levels of the organization. You’re inclusive, adapting your style to the situation and diverse global norms of our people. An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding. You’re collaborative, building relationships, humbly offering support and openly welcoming approaches. Innovative and creative, you proactively explore new ideas and adapt quickly to change. Qualifications: M.S or PhD in Electrical Engineering, Engineering Physics, Materials Science or equivalent Strong understanding of device physics, process modules, yield improvement, failure mechanisms, analytical techniques (physical and electrical) Can guide TCAD and compact modelling teams Proven track record in developing and transferring technologies into high volume manufacturing Deep knowledge of CMOS, SRAM and eNVM parameters and figures of merit ; experience in achieving competitive performance Understanding of transistor physics and fabrication details especially planar MOSFET and BJT. Ability to optimize transistors based on different implant and other process steps Can guide team to design and layout E-test structures and analyze/interpret data from these structures Familiarity with Finfet structures Ability to lead cross-functional teams and achieve project completion within timeline and cost targets Ability to work across different cultures and geographies Innovation mindset Desired Experience Level: 15+ years experience in the semiconductor industry Proven track record of successfully developing new technologies into high volume production Proven problem solving skills using design of experiments and analytical tools

Position Overview Job Title: AI Engineer Location: Pune , India Role Description Indra is the central program driving the introduction and safe scaling of AI at DB. Focus is identify AI potential across various banking operations, driving funded use cases into production to create value and confidence and scale across the bank, creating selected shared services with embedded safety to enable low cost scale, developing an AI Workbench for developers for safe AI development at pace, and introducing AI controls whilst aiming to maintain time to market. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Model Deployment: Collaborate with data scientists to deploy machine learning models into production environments. Implement deployment strategies such as A/B testing or canary releases to ensure safe and controlled rollouts. Infrastructure Management: Design and manage the infrastructure required for hosting ML models, including cloud resources and on-premises servers. Utilize containerization technologies like Docker to package models and dependencies. Continuous Integration/Continuous Deployment (CI/CD): Develop and maintain CI/CD pipelines for automating the testing, integration, and deployment of ML models. Implement version control to track changes in both code and model artifacts. Monitoring and Logging: Establish monitoring solutions to track the performance and health of deployed models. Set up logging mechanisms to capture relevant information for debugging and auditing purposes. Scalability and Resource Optimization: Optimize ML infrastructure for scalability and cost-effectiveness. Implement auto-scaling mechanisms to handle varying workloads efficiently. Security and Compliance: Enforce security best practices to safeguard both the models and the data they process. Ensure compliance with industry regulations and data protection standards. Data Management: Oversee the management of data pipelines and data storage systems required for model training and inference. Implement data versioning and lineage tracking to maintain data integrity. Collaboration with Cross-Functional Teams: Work closely with data scientists, software engineers, and other stakeholders to understand model requirements and system constraints. Collaborate with DevOps teams to align MLOps practices with broader organizational goals. Performance Optimization: Continuously optimize and fine-tune ML models for better performance. Identify and address bottlenecks in the system to enhance overall efficiency. Documentation: Maintain clear and comprehensive documentation of MLOps processes, infrastructure, and model deployment procedures. Document best practices and troubleshooting guides for the team. Your Skills And Experience University degree in a technical or quantitative field (e.g., computer science, mathematics, physics, economics, etc.), preferably a Master’s or Doctoral degree 2-4 years of experience in applying AI, machine learning and/or data science in business and/or academia. Strong knowledge of at least one programming language (e.g., Python, JavaScript) and relevant data science or engineering framework (e.g., scikit-learn, TensorFlow, Spark, etc.). Ideally, practical experience in finance and banking Comfortable working with and managing uncertainty and ambiguity Excellent oral and written communication skills in English How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

GetGrowth Digital is a performance-focused Amazon Ads agency managing 7–8 figure brands across the US and Europe. We’re known for nerd-level campaign execution, deep data work, and obsessing over results. If numbers aren’t your thing, if Excel overwhelms you, or if you’re just looking to “manage campaigns” at a surface level—this won’t be the right fit. We’re looking for someone who looks at Amazon PPC data the way a chess grandmaster sees the board—ten moves ahead, patterns everywhere. What You’ll Do Own & optimise Amazon PPC campaigns across multiple brands Work on daily & weekly data routines to keep TACoS, ACOS, and CTR in check Get hands-on with Amazon Marketing Cloud (AMC) and SQL Use Excel/Sheets like a weapon – formulas, filters, pivots, bulk uploads Dive into search term reports, keyword data, and campaign structure Spot what’s not working—then test, tweak, and fix it Report what matters to clients and internal teams Who This Is For This role is not for you if: You see ads as a checklist task, not a technical craft You get bored easily and crave constant novelty instead of structured improvement This is for you if you: Are a curious, technical, data-obsessed operator Have experience in Amazon Ads or other paid media platforms (Google Ads, Meta, etc.) Have strong Excel/Sheets skills (Filters, Lookups, Pivots, Bulk Files) Have a detective mindset—you love digging deep into numbers until patterns show up Have a science/logic/math/engineering-style thinking pattern Enjoy solo, focused work and quiet time with big data sets Nerd out on ads, experiments, spreadsheets, and optimisations Must-Haves (we will test these) Prior experience in Amazon PPC or other paid digital platforms Excellent command of Excel/Google Sheets Fluent written & spoken English Responsible work ethic (no follow-ups required, you give updates before we ask) Reliable internet & laptop Comfortable working solo in a remote setup Bonus Points For Interest in Maths, Physics, Economics or Statistics Understanding of Amazon Ads bulk operations Love for building systems, dashboards, processes that make your work faster Past remote work experience Strong sense of accountability and self-motivation Salary: ₹3–5 LPA We’re growing fast, and so will you. This role comes with clear potential to move into a Manager or Team Lead position—and grow your salary as the company scales. Our Culture We value trust, responsibility, and clarity. We don’t micromanage—we expect you to take charge. We believe in doing great work, then making it even better. Small details matter. So does initiative.

What youll do 1. Transform every student to unravel their 100% hidden potential. 2. Delivering Lectures 3. Complete the entire syllabus of the designated batches well in time with full satisfaction of students, parents, and the management 4. Making original innovative questions 5. Developing Course Material 6. Making test papers 7. Conducting Tests and Evaluations 8. Conducting Parent Teachers meeting and giving true feedback to parents with a roadmap to improve. 9. Monitoring performance, Mentoring and Counselling Students 10. Conduct day-to-day doubts solving activity. 11. Conducting extra classes when required to help weak students or to give more practice to good students. 12. Monitor and Analyse students performance and provide useful guidance to students as well as parents. 13. Collaborating with Other Faculty Members 14. Participate in meetings for academic planning &development. Desired Candidate Profile 1. Preferably graduates from IITs, NITs, BITS or premiere institutions at the national level and/or having profound NEET-coaching experience in top-ranking institutions. 2. Should have excellent communication skill and passion for teaching 3. Subject-expert with a strong explanatory ability to teach the fundamentals as well as the intricacies of the subject 4. Result-oriented, passionate, and devoted towards teaching 5. Sensitive towards holistic development of students and willing to contribute 6. Looking for long-term association with the Institute. 7. Keep upgrading the knowledge base by studying new and revised books on the subject.

We are doing shortlisting for many profiles based out of Zirakpur and nearby areas. So kindly send your resume according to that Profiles HR Recruiter Executive Assistant Admin from Science Background Quotation, Tender, GEM Back Office Required Candidate profile Front Office Telecaller Marketing Boys Real Estate ITI Fitter, Welder Technical Manufacturing Industries Physics, Chemistry Computer Operator IT Trainer Visa Counselor IELTS, PTE BPO Day & Night Shift

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. Qualifications: Bachelor’s or Master’s degree from a top-tier institute. 2- 5 years of experience in physical design from product-based companies. Experience: Proven experience in managing complex subsystems and small teams. Proficiency in synthesis, place and route (PnR), and sign-off convergence, including Static Timing Analysis (STA) and sign-off optimizations. Job : Expertise in meeting demanding Power, Performance, and Area (PPA) requirements for complex subsystems/System on Chips (SoCs), place and route, and IP integration. Experience in low power design implementation, including Unified Power Format (UPF), multi-voltage domains, and power gating. Familiarity with ASIC design flows and physical design methodologies. Strong understanding of circuit design, device physics, and deep sub-micron technology. Experience working on multiple technology nodes in advanced processes. Proficiency in automation to drive improvements in PPA.

Job Title: Science Teacher (CBSE Curriculum) Location: Mount Litra Zee School , Yavatmal , Maharashtra Experience Required: 23 Years (CBSE Board) Qualification: BSC and MSC Science-related subjects preferred) Employment Type: Full-Time Job Summary: We are seeking an enthusiastic and knowledgeable Science Teacher with 2–3 years of experience teaching in a CBSE school . The candidate should have strong communication skills and be adept at using smart classroom technologies to deliver interactive and engaging lessons. The ideal candidate will be passionate about science education and capable of inspiring curiosity and critical thinking in students. Key Responsibilities: Plan and deliver science lessons aligned with the CBSE curriculum for the relevant grade(s) Utilize smart technologies (smart boards, multimedia content, educational apps) to enhance learning outcomes Foster an inquiry-based learning environment, encouraging students to explore scientific concepts through experiments and discussions Evaluate student progress through assessments, projects, and class activities Maintain student records and provide regular feedback to parents and school authorities Create a safe, inclusive, and stimulating classroom environment Participate in staff meetings, school functions, and professional development activities Stay updated with changes in CBSE guidelines and advancements in science education Required Skills & Qualifications: Bachelor’s or Master’s degree (BSC/MSC) in a Science-related subject (e.g., Biology, Chemistry, Physics, Environmental Science) 2–3 years of teaching experience in a CBSE school Excellent communication skills – verbal and written Proficient in using smart classroom tools and digital teaching platforms Strong classroom management and lesson planning skills Ability to engage students with varied learning styles Passionate about education and committed to continuous learning

Job Opening: Software Developer Location: Lower Parel, Mumbai (Only Mumbai-based candidates preferred) Experience: 2–4 Years Salary: Up to 12LPA About Qode Advisors LLP Qode Advisors LLP is a SEBI-registered asset management firm offering Portfolio Management Services (PMS) to high-net-worth individuals and families. We combine a data-driven, quantitative investment framework with deep fundamental insights to deliver consistent, long-term returns. Backed by a team of 30 high-performing professionals, Qode Advisors is built on a foundation of research, discipline, and a strong focus on investor alignment. Position Overview Software developers build our trading platforms to compete with the best systems from across the globe. You will be given an encouraging environment to deliver excellence; with the caveat that our business can only accommodate the best. Develop fast, low-latency systems for quantitative analysis and trading. Latency measured in nanoseconds (one thousand-millionth of a second). Deliver reliable software with bug threshold of 1 per 1200 lines of code. The quality of code is rated by its readers, not by its writers. Write readable code which self-explains - not requiring bulky documentation. Collaborate with team members and show evidence of delivering solutions to business requirements. Communicate effectively without jargon. Verbal and written. Requirements: Bachelor's degree in engineering, computer science, mathematics, physics, statistics, or a related field. Rigor of advanced degrees and coding competitions preferred. 2-4 years experience in high performance computing to meet our reliability/latency needs. Advanced programming skills in one of C++, Python, Rust or Java Understanding JavaScript, Node, React, HTML, SQL, Linux, async-design, OO patterns. Evidence of strong skills in mathematics, algorithms, or computational complexity. Excellent written/verbal communication which is apparent in our first interaction. Familiarity with stocks, derivatives, exchanges, risk assessment.

About The Opportunity Operating in the K-12 education sector, we are a fast-growing academic services provider managing modern, technology-enabled campuses across India. Our mission is to foster inquiry-based learning and 21st-century skills for middle and high-school learners through rigorous yet engaging curricula aligned with CBSE standards. Role & Responsibilities Deliver concept-rich Biology, Chemistry, and Physics lessons for Grades 6-10, ensuring syllabus completion and deep conceptual understanding. Design weekly lesson plans, lab activities, and formative assessments that promote experiential and inquiry-driven learning. Integrate smartboard, simulations, and other digital tools to visualise complex scientific phenomena. Track student progress through quizzes, projects, and diagnostics; provide timely remediation and parent communication. Coordinate annual science fairs, Olympiad coaching, and field trips to nurture scientific temperament. Maintain an orderly, inclusive classroom culture that supports differentiated instruction and positive behaviour. Skills & Qualifications Must-Have B.Sc or M.Sc in a core science discipline with B.Ed and CBSE/ICSE teaching eligibility. 3+ years classroom experience as a TGT Science Teacher for middle school. Proven expertise in lesson planning, lab safety, and continuous assessment strategies. Fluency in English communication and student-centric pedagogy practices. Working knowledge of MS Office, smart classroom hardware, and learning management systems. Preferred Certification in STEM or experiential learning methodologies. Experience preparing students for NTSE, Olympiads, or competitive exams. Benefits & Culture Highlights Competitive salary with performance bonuses and annual L&D budget. Collaborative faculty community focused on innovation and growth. On-campus accommodation and subsidised meals for out-station hires. Work Type: On-site, India. Join us to ignite scientific curiosity and shape the next generation of innovators. Skills: ms office,student-centric pedagogy,physics,curriculum design,classroom management,communication,learning management systems,lesson planning,differentiated instruction,chemistry,continuous assessment,smart classroom hardware,teaching,biology,lab safety,fluency in english

Job Description Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm’s senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm’s risk profile allowing them to take actionable and timely risk management decisions. Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders. Role Responsibilities A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools . Responsibilities A&R has a unique vantage point in the firm’s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights . The following are core responsibilities for A&R: Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and its client activities. Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics . Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline such as mathematics, physics, econometrics, computer science or engineering. Entrepreneurial, analytically creative, self-motivated and team-oriented. Excellent written, verbal and team-oriented communication skills. Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. 3+ years of financial or non-financial risk industry experience. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Same Posting Description for Internal and External Candidates

About Lowe’s Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2023 sales of more than $86 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Bengaluru, Lowe’s India develops innovative technology products and solutions and delivers business capabilities to provide the best omnichannel experience for Lowe’s customers. Lowe’s India employs over 4,200 associates across technology, analytics, merchandising, supply chain, marketing, finance and accounting, product management and shared services. Lowe’s India actively supports the communities it serves through programs focused on skill-building, sustainability and safe homes. For more information, visit, www.lowes.co.in. About The Team DACI Merchandising primarily focused on Assortment planning and store merchandising execution areas. The team is responsible for solving the problem of which items should we be placed in each store and also determining if we are using the retail selling space effectively or not. We are primarily the data team, using big data and machine learning to help the business users make the best assortment and store merchandising execution decisions. Job Summary The primary purpose of this role is to provide advanced analytical capabilities to support data science initiatives. This position gains experience in various areas including, but not limited to: predictive modeling; personalization and recommendation algorithms; natural language processing and text mining; search recall, precision, ranking, and related problems; optimization and mathematical programming with applications in merchandising like assortment optimization, retail space planning, and product description,. A Data Scientist solves complex problems that do not yet have solutions in the research. Therefore, the individual in this role must be an expert in his/her field and confident in interacting and proposing solutions to the business. This role influences the thought process and methodology for other team members. Roles & Responsibilities Core Responsibilities: You will build and deploy state of the art predictive models for use cases such as assortment optimization, automated item listing validation and retail space optimization. Develop and maintain pipelines for training and deploying machine learning models Develop and maintain forecasting models and tools using frameworks such as TensorFlow Design and deploy scalable API services for distributing model output data Support enterprise forecasting applications Collaborate with Data Scientists and Data Engineers to ensure that specifications are translated into flexible, scalable, and maintainable solutions Stay abreast of state-of-the-art machine learning technologies; follow code standards and best practices Mines and extracts data and applies statistics and algorithms necessary to derive insights for Lowe's Supports the generation of an automated insights generation framework for Lowe's business partners to effectively interpret data Provides actionable insights through data science on Merchandising priorities Tracks success of Lowe's through the development of dashboard reports that measure financial results, customer satisfaction, and engagement metrics Conducts deep statistical analysis, including predictive and prescriptive modeling in order to provide a competitive advantage at Lowe's Maintains expert-level knowledge on industry trends, emerging technologies, and new methodologies and applies it to projects as well as using it to guide team members Translates or provides guidance to more junior level scientists to translate requirements into an analytical approach; asks the right questions to understand the problem; validates understanding with Stakeholder or Manager Builds or provides guidance for building the analytic approach to solving a business problem; helps identify the sources, methods, parameters, and procedures to be used; clarifies expectations with stakeholders and plans resources accordingly Leverages deep understanding of statistical techniques and tools to analyze data according to the project plan; communicates with stakeholders to provide updates and manage scope Maintains knowledge of techniques, technology, industry trends, best practices, and emerging methodologies Years Of Experience 2-5 years of experience in data science Required Minimum Qualifications Bachelor's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field (or equivalent work experience in a related field) AND 4 years of experience in analytics AND 2 years of programming experience (Python, Java, Scala, Rust, etc.) OR Master's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 2 years of experience in analytics AND 1 year of programming experience (Python, Java, Scala, Rust, etc.) OR Ph.D. in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 1 year of experience in analytics Also Knowledge of SQL and various statistical modeling or machine learning techniques Skill Set Required Primary Skills (must have) Hands on experience in AI/ML Hands on experience in Python to build applications that are scalable Statistics Strong problem solving skills Data munging/wrangling Experience with SQL Secondary Skills (desired) Experience with Big Data systems like Hadoop or Big Query or Druid Experience solving data science problems in retail Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.

Are you a science specialist eager to shape the future of AI? Large-scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high-quality training data, tomorrow’s AI can democratize world-class education, keep pace with cutting-edge research, and streamline problem-solving for scientists and learners everywhere. That training data begins with you—we need your expertise to help power the next generation of AI. We’re looking for science specialists who live and breathe physical science, earth science, environmental science, chemistry, physics, astronomy, and scientific literacy. You’ll challenge advanced language models on topics like energy transformation, atomic structure, planetary motion, ecological systems, the water cycle, and scientific inquiry—documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on real-world scenarios and theoretical science questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A bachelor’s, master’s, or PhD in a science field is ideal; teaching experience, published work, lab or field research, or science communication projects signal fit. Clear, metacognitive communication—“showing your work”—are essential. Ready to turn your science expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $8 to $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor, you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply. Job title: Science Specialist – AI Trainer Employment type: Contract Workplace type: Remote Seniority level: Mid - Senior Level

Looking for challenging role? If you really want to make a difference - make it with us Can we energize society and fight climate change at the same time? At Siemens Energy, we can. Our technology is key, but our people make the difference. Brilliant minds innovate. They connect, create, and keep us on track towards changing the world’s energy systems. Their spirit fuels our mission. Our culture is defined by caring, agile, respectful, and accountable individuals. We value excellence of any kind. Sounds like you? We are seeking an exceptional and visionary Principal AI Research Scientist to lead our research efforts in developing next-generation foundation models for power grid & substation applications. As a founding member of our new AI lab, you will play a pivotal role in defining our research agenda, driving innovation in algorithms, architectures, and methodologies for scaling AI models, and building and mentoring a world-class team. You will tackle fundamental research challenges with significant real-world impact, pushing the boundaries of AI to revolutionize the energy landscape and address critical challenges related to grid modernization, renewable energy acceleration and climate change mitigation. This is a hands-on IC role that demands a strong research background and deep expertise in AI foundation models and ability to develop for creating transformational change. Your new role – challenging and future- oriented: Conduct original, high-impact research in foundation models, specifically tailored for power grid data modalities and applications. Spearhead the development of novel deep learning architectures, algorithms, and training methodologies tailored for these. Deeply investigate and advance state-of-the-art research in relevant areas adapting and integrating methods and techniques from public research. Collaborate closely with AI engineers and domain experts to translate research breakthroughs into practical, scalable solutions deployable within real-world power grid systems. Build and mentor a high-performing research team, fostering a collaborative and innovative research culture within the newly formed AI lab. Drive rapid iteration and proof-of-concept (PoC) development to quickly validate research ideas. Effectively communicate research findings to both technical and non-technical audiences (via technical blogs or publications in conferences and journals), and represent the lab externally at conferences and industry events. Independently drive research projects forward, demonstrating strong initiative, problem-solving skills, and a results-oriented approach. We don’t need superheroes, just super minds: Master's or Ph.D. in Computer Science, Electrical Engineering, Physics, Mathematics, or a related quantitative field, OR equivalent industry experience with a strong demonstrable research background in AI/ML. 7+ years of research experience in deep learning, machine learning, or related areas, with a focus on developing and scaling innovative AI solutions. Publications in top-tier AI conferences and journals Strong expertise and prior experience with building foundation models and other related concepts, with direct prior experience in at least one of the following highly desired - AI for Simulation/AI for Physics, GNNs, Transformers, Diffusion Models, etc. Proven ability to design, develop, and implement novel deep learning architectures and algorithms and experience scaling solutions involving large datasets and complex models, utilizing large compute clusters. Strong ability to work independently, rapidly iterate on ideas, and quickly develop and validate proof-of-concepts. Excellent communication, presentation, and teamwork skills, with the ability to lead and inspire a research team and collaborate effectively with diverse stakeholders. Desired Skills Contributions to open-source machine learning projects. Prior experience in a top AI research lab. Experience applying AI/ML to power systems, electrical grids, or related domains.

Looking for challenging role? If you really want to make a difference - make it with us Can we energize society and fight climate change at the same time? At Siemens Energy, we can. Our technology is key, but our people make the difference. Brilliant minds innovate. They connect, create, and keep us on track towards changing the world’s energy systems. Their spirit fuels our mission. Our culture is defined by caring, agile, respectful, and accountable individuals. We value excellence of any kind. Sounds like you? We are seeking an exceptional and visionary Principal AI Research Scientist to lead our research efforts in developing next-generation foundation models for power grid & substation applications. As a founding member of our new AI lab, you will play a pivotal role in defining our research agenda, driving innovation in algorithms, architectures, and methodologies for scaling AI models, and building and mentoring a world-class team. You will tackle fundamental research challenges with significant real-world impact, pushing the boundaries of AI to revolutionize the energy landscape and address critical challenges related to grid modernization, renewable energy acceleration and climate change mitigation. This is a hands-on IC role that demands a strong research background and deep expertise in AI foundation models and ability to develop for creating transformational change. Your new role – challenging and future- oriented: Conduct original, high-impact research in foundation models, specifically tailored for power grid data modalities and applications. Spearhead the development of novel deep learning architectures, algorithms, and training methodologies tailored for these. Deeply investigate and advance state-of-the-art research in relevant areas adapting and integrating methods and techniques from public research. Collaborate closely with AI engineers and domain experts to translate research breakthroughs into practical, scalable solutions deployable within real-world power grid systems. Build and mentor a high-performing research team, fostering a collaborative and innovative research culture within the newly formed AI lab. Drive rapid iteration and proof-of-concept (PoC) development to quickly validate research ideas. Effectively communicate research findings to both technical and non-technical audiences (via technical blogs or publications in conferences and journals), and represent the lab externally at conferences and industry events. Independently drive research projects forward, demonstrating strong initiative, problem-solving skills, and a results-oriented approach. We don’t need superheroes, just super minds: Master's or Ph.D. in Computer Science, Electrical Engineering, Physics, Mathematics, or a related quantitative field, OR equivalent industry experience with a strong demonstrable research background in AI/ML. 7+ years of research experience in deep learning, machine learning, or related areas, with a focus on developing and scaling innovative AI solutions. Publications in top-tier AI conferences and journals Strong expertise and prior experience with building foundation models and other related concepts, with direct prior experience in at least one of the following highly desired - AI for Simulation/AI for Physics, GNNs, Transformers, Diffusion Models, etc. Proven ability to design, develop, and implement novel deep learning architectures and algorithms and experience scaling solutions involving large datasets and complex models, utilizing large compute clusters. Strong ability to work independently, rapidly iterate on ideas, and quickly develop and validate proof-of-concepts. Excellent communication, presentation, and teamwork skills, with the ability to lead and inspire a research team and collaborate effectively with diverse stakeholders. Desired Skills Contributions to open-source machine learning projects. Prior experience in a top AI research lab. Experience applying AI/ML to power systems, electrical grids, or related domains.

Preparing and delivering lecture sessions. Assigning projects and assignments to the students. Maintaining academic excellence. Planning and creating teaching materials. Creative ways of enable class discussions on various scientific topics. Attending meetings, workshops, and training sessions. Using teaching methods depending on the students learning abilities. Building an engaging and fun learning environment Reporting the progress to the high management members and parents. Staying updated with the latest developments in teaching. Primary Responsibilities: Preparing and delivering lecture sessions.

As the Senior DevOps Engineer focused on Observability, you will set observability standards, lead automation efforts and mentor engineers ensuring all monitoring and Datadog configuration changes are implemented Infrastructure-as-Code (IaC). You will lead the design and management of a code-driven Datadog observability platform, providing end-to-end visibility into Java applications, Kubernetes workloads and containerized infrastructure. This role emphasizes cost-effective observability at scale requiring deep expertise in Datadog monitoring, logging, tracing and optimization techniques. You'll collaborate closely with SRE, DevOps and Software Engineering teams to standardize monitoring and logging practices to deliver scalable, reliable and cost-efficient observability solutions. This is a hands-on engineering role focused on observability-as-code. All monitoring, logging, alerting, and Datadog configurations are defined and managed through Terraform, APIs and CI/CD workflows — not manual configuration in the Datadog UI. PRIMARY RESPONSIBILITIES: Own and define observability standards for Java applications, Kubernetes workloads and cloud infrastructure Configure and manage the Datadog platform using Terraform and Infrastructure-as-Code (IaC) best practices Drive adoption of structured JSON logging, distributed tracing and custom metrics across Java and Python services Optimize Datadog usage through cost governance, log filtering, sampling strategies and automated reporting Collaborate closely with Java developers and platform engineers to standardize instrumentation and alerting Troubleshoot and resolve issues with missing or misconfigured logs, metrics and traces, working with developers to ensure proper instrumentation and data flow into Datadog Involve in incident response efforts using Datadog insights for actionable alerting, root cause analysis (RCA) and reliability improvements Serve as the primary point of contact for Datadog-related requests, supporting internal teams with onboarding, integration and usage questions Continuously audit and tune monitors for alert quality, reducing false positives and improving actionable signal detection Maintain clear internal documentation on Datadog usage, standards, integrations and IaC workflows Evaluate and propose improvements to the observability stack, including new Datadog features, OpenTelemetry adoption and future architecture changes Mentor engineers and develop internal training programs on Datadog, observability-as-code and modern log pipeline architecture QUALIFICATIONS: Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics or a related technical field 5+ years of experience in DevOps, Site Reliability Engineering, or related roles with a strong focus on observability and infrastructure as code Hands-on experience managing and scaling Datadog programmatically using code-based workflows (e.g. Terraform, APIs, CI/CD) Deep expertise in Datadog including APM, logs, metrics, tracing, dashboards and audit trails Proven experience integrating Datadog observability into CI/CD pipelines (e.g. GitLab CI, AWS CodePipeline, GitHub Actions) Solid understanding of AWS services and best practices for monitoring services on Kubernetes infrastructure Strong background in Java application development is preferred Job Types: Full-time, Permanent, Contractual / Temporary Contract length: 12 months Pay: ₹1,000,000.00 - ₹2,000,000.00 per year Benefits: Paid sick time Schedule: Monday to Friday Night shift US shift Ability to commute/relocate: Musheerabad, Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: DevOps: 5 years (Required) Language: English (Required) Location: Musheerabad, Hyderabad, Telangana (Preferred) Shift availability: Night Shift (Required) Work Location: In person Expected Start Date: 21/07/2025

Job Title : Skilled Data Analyst Location : New Delhi Job Type : Full-time Experience : 2- 5 Years Department : Intelligence / Cyber Forensics / Data Analytics Salary: Upto 4.8 LPA Job Summary We are seeking a Skilled Analyst with a strong background in data and intelligence analysis. The ideal candidate will possess experience in OSINT, CDR/IPDR, financial auditing, digital forensics, and dark web intelligence. The role involves handling various types of data, conducting thorough analysis, and preparing accurate reports to support investigations and strategic decisions. Key Responsibilities Perform Open-Source Intelligence (OSINT) collection and analysis. Analyse Call Detail Records (CDR) and Internet Protocol Detail Records (IPDR) . Conduct financial audits and forensic analysis of financial data. Perform digital forensic examinations on various devices and platforms. Analyse data from sources including the dark web , to extract meaningful intelligence. Prepare trend analyses , intelligence reports, and dashboards. Design and maintain structured databases for efficient analysis and reporting. Collaborate with cross-functional teams to derive actionable insights. Ensure the confidentiality and integrity of data and reports. Proficient in PowerBi, Advance Excel, SQL, Linux Required Qualifications Educational Background : Graduate in one of the following fields: B.C. A / B.E. / B.Tech B.Sc. (Physics / IT / Mathematics / Statistics) B.A. (Mathematics) B. Com Or an equivalent degree with a strong academic record. Professional Experience : Minimum 2 years in Data Analysis or Business Analysis . Preferred Skills Strong analytical and problem-solving skills. Hands-on experience with CDR/IPDR and OSINT tools. Familiarity with digital forensic tools and techniques. Ability to analyze large datasets and derive patterns. Understanding of dark web environments and data extraction. Proficiency in report writing and communication. Knowledge of database systems and data visualization tools is a plus.

Are you ready to use your domain knowledge to advance AI? Join us as a PhD Data Partner and work remotely with flexible hours. We are seeking highly knowledgeable Subject Matter Expert to design advanced, domain-specific questions and solutions. The role involves creating challenging problem sets that test deep reasoning and expertise in the assigned field. TELUS Digital AI Community Our global AI Community is a vibrant network of 1 million+ contributors from diverse backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands. Key Responsibilities: Develop complex, original question-and-answer pairs based on advanced topics in your area of expertise. Ensure questions involve multi-step problem-solving and critical thinking. Provide detailed, clear solutions that meet high academic standards. Collaborate with cross-functional teams to refine and enhance content. Qualification path Basic Requirements: Doctorate/ PhD degree in Physics is essential Strong proficiency in English writing with excellent grammar, clarity, and the ability to explain complex concepts concisely Assessment: In order to be hired into the program, you’ll go through a subject-specific qualification exam that will determine your suitability for the position and complete ID verification. Payment: Currently, pay rates for experts range from $12 - $15 USD per hour Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. Please review the payment terms for each project. If interested, please apply here: https://www.telusinternational.ai/cmp/contributor/jobs/available/127125?utm_source=Linkedin&utm_medium=Ads&utm_campaign=SHTArianne_APAC_Paid+Site_Linkedin_Ads_127125 Once you’ve completed your application through the link, kindly notify us by emailing tip_ai_crowdsourcing_apac@telusinternational.com so we can assist in tracking the progress of your application.

The Physics Teacher (PGT) will be responsible for delivering engaging lessons, conducting practical experiments, and fostering a love for physics among students. Responsibilities: Develop and implement lesson plans. Assess student progress and provide feedback. Organize and supervise laboratory experiments. Participate in parent-teacher meetings. Contribute to extracurricular activities related to physics. Job Type: Full-time Pay: ₹45,000.00 - ₹55,000.00 per month Work Location: In person

Company Description Wizikey is a cloud-based marketing and Communications software that uses AI technology to monitor news, provide media insights, and automate reporting. It helps companies track their news presence, gather competitive intelligence, and connect with relevant reporters. With Wizikey, businesses can measure their PR efforts, optimize strategies, and drive better outcomes. Trusted by over 100+ businesses, including Reliance, Infosys, MapmyIndia, Blusmart, Physics Wallah and WebEngage, Wizikey enhances brand visibility globally. Job Description We are looking for a proactive and detail-oriented Customer Success Executive with strong communication skills. The role involves working closely with our clients and internal teams to generate insightful reports, ensure client satisfaction, and drive value through Wizikey’s platform. Key Responsibilities: Serve as the first point of contact for assigned customers to ensure smooth onboarding and engagement. Generate, customize, and deliver accurate media reports and dashboards using Wizikey’s tools. Understand client requirements and translate them into actionable insights and deliverables. Support the Customer Success team in solving queries, gathering feedback, and ensuring timely delivery. Maintain regular communication with clients to drive adoption and highlight product value. Collaborate with the Product and Support teams to ensure high-quality client experiences. Qualifications 1+ years of experience in a Customer Success, Account Management, or similar role within a B2B SaaS environment. Strong communication and interpersonal skills, with the ability to build rapport and trust with customers. Excellent problem-solving skills, with a proactive and solution-oriented mindset. Ability to understand customer needs and translate them into actionable solutions. Experience with CRM systems and customer success tools is a plus. A customer-first attitude with a passion for helping businesses succeed. Bachelor's degree in Business, Marketing, or a related field is preferred. Additional Information "Wizikey encourages and celebrates entrepreneurial culture. When you set out to create a new industry, you need to build a team of immensely talented folks from Technology and Communications and give them the freedom to experiment, learn and keep building. And with every addition of talent, this gets new fuel and the magic happens. And that is why we call ourselves Wizards"

Seeking Qualified Physics Teacher for Bodhi entrance academy - Trivandrum. Apply by email with photo operations.bodhi@gmail.com Qualifications - B.Sc (or) M.Sc with B.Ed Job Type : Full-time Schedule : Day shift Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹40,000.00 per month Schedule: Day shift Education: B.Sc (or) M.Sc with B.Ed Experience: Teaching: 2-4 year (Preferred) Making lesson plans: 2 year (Preferred) total work: 2 year (Preferred) Language: English (Preferred) Work Location: In person Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹40,000.00 per month Schedule: Day shift Work Location: In person

We are looking for Science HOD should be able to teach Biology, Physics & Chemistry to Grade 10. Need 1 specialization for Grade 11. Should have minimum 5 years of Teaching experience in CBSE School. Salary is not a constraint for deserving candidates. Job Type: Full-time Schedule: Day shift Work Location: In person

Job Summary The TGT Physics Teacher will be responsible for delivering engaging and effective Physics lessons to students of classes VI to X (or as per school requirement). The teacher should plan and implement curriculum, conduct assessments, promote scientific temper, and create a positive learning environment that encourages curiosity and conceptual understanding. ⸻ Key Responsibilities ✅ Teaching & Classroom Management Teach Physics concepts as per prescribed curriculum and board guidelines (CBSE/ICSE/State Board). Prepare daily lesson plans aligned with learning objectives. Use innovative teaching methods, demonstrations, and experiments to explain concepts. Integrate technology and audio-visual aids to enhance learning. Manage the classroom effectively, maintaining discipline and a conducive learning atmosphere. ✅ Student Assessment & Progress Prepare question papers, worksheets, and evaluation tools. Conduct regular assessments, tests, and examinations. Analyze student performance and maintain records of progress. Provide timely and constructive feedback to students and parents. ✅ Curriculum Development Contribute to the development of Physics teaching resources. Participate in designing annual plans, remedial measures, and enrichment activities. Align lesson plans with NEP guidelines or other educational reforms, if applicable. ✅ Laboratory Work Conduct practical classes and laboratory experiments as per syllabus requirements. Maintain lab equipment, ensure safety protocols, and encourage hands-on learning. ✅ Pastoral & Co-curricular Duties Mentor and counsel students on academic and personal issues. Participate in school events, assemblies, science exhibitions, competitions, and excursions. Contribute to co-curricular and extracurricular activities. ✅ Professional Development Attend workshops, training sessions, and staff meetings. Stay updated on new teaching methodologies and subject knowledge. ⸻ Qualifications & Skills Graduate/Postgraduate in Physics with B.Ed. (Bachelor of Education) – mandatory. Good command over spoken and written English. Strong subject knowledge and passion for teaching. Effective communication and classroom management skills. Ability to engage and motivate students. Familiarity with technology tools used in modern teaching. ⸻ Experience 2-5 years of teaching experience preferred (may vary depending on school policy). Freshers with strong subject knowledge and teaching skills may also be considered. Job Type: Full-time Pay: ₹28,000.00 - ₹35,000.00 per month Schedule: Day shift Work Location: In person

Careers Position: Assistant Faculty - Physics Job title : Assistant Faculty - Physics Job Location The Bodhi Tree Campus, Nandigama Village, Bhanur, Near Patancheru, Hyderabad Job Summary Teachers who can teach and clarify doubts in Physics. Teachers who can supervise the study hours and guide the students. Responsibilities and Duties Candidates are expected to teach, mentor, evaluate and provide feedback about students. Required Experience, Skills and Qualifications Should possess excellent teaching and mentoring abilities, strong interpersonal skills and excellent communication skills. He / She should be a post graduate in Physics. A minimum of 2 - 7 years of teaching experience in Physics in reputed Junior college. UGC-NET qualification desirable. Candidates with experience in handling Intermediate board curriculum preferred. Candidates with previous experience of handling sessions in EAMCET will be considered as an added advantage. Fresher’s who scored above 85 % with good subject knowledge can also apply. Benefits Training, competitive pay package and a lively work environment. Job Type: Full Time Apply Now: Email your resume with the position and location you are applying for in the subject line. Job Type: Full-time Email us at: careers@gatikedu.com