5201 Physics Jobs - Page 9

Are you passionate about solving logical problems and working through challenging math? Turing is looking for PhD-level researchers in physics to test the reasoning capabilities of large language models (LLMs). You’ll create physics problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create physics problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. For a 1D Brownian motion starting at the origin, define the last return time to zero and the time spent on the positive axis as fractions of total time. Find the exact joint probability distribution of these scaled times, expressed using the Heaviside function to specify its support. Eligibility: Currently enrolled in or have completed a Ph.D. or Postdoctoral in Physics, Applied Physics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process : Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models.

Position Overview Job Title: DWS Risk Manager - Investment Risk Models, AVP Location: Pune, India Role Description Today, markets face a whole new set of pressures – but also a whole lot of opportunity too. Opportunity to innovate differently. Opportunity to invest responsibly. And opportunity to make change. Join us at DWS, and you can be part of an industry-leading firm with a global presence. You can lead ambitious opportunities and shape the future of investing. You can support our clients, local communities, and the environment. We’re looking for creative thinkers and innovators to join us as the world continues to transform. As whole markets change, one thing remains clear; our people always work together to capture the opportunities of tomorrow. That’s why we are ‘Investors for a new now’. As investors on behalf of our clients, it is our role to find investment solutions. Ensuring the best possible foundation for our clients’ financial future. And in return, we’ll give you the support and platform to develop new skills, make an impact and work alongside some of the industry’s greatest thought leaders. This is your chance to achieve your goals and lead an extraordinary career. About DWS Investment Risk: The Chief Risk Office within DWS is an independent function responsible for protecting the business as well as being a trusted adviser and partner for supporting sustainable business growth. As part of the Chief Risk Office, the Investment Risk team is in charge of independent oversight of investment risk of DWS fiduciary portfolios. In this role, it designs and executes the risk programs to identify, measure, control and manage market, liquidity, sustainability, and counterparty risk of fiduciary portfolios. This includes the regular monitoring, analysis, and reporting of risk to portfolio management and DWS management boards. 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 Develop, test, and document both in-house and vendor-provided models for DWS Design and implement compensating controls to address identified model weaknesses Maintain and enhance existing risk models to deliver high-quality analytics and insights for the Investment and Product Divisions Coordinate and document model development activities, including new releases and updates, in collaboration with model vendors and key stakeholders such as the Investment Divisions and Model Validation team Contribute to the development and continuous improvement of the Model Risk Program for Investment Risk in liquid products, including the creation of global processes and procedures to ensure robust model risk governance Your Skills And Experience Master’s degree in mathematics, Statistics, Quantitative Finance, Physics, or a related field; PhD is a plus Minimum of 5 years of proven experience in the financial industry, ideally in Model Development, Model Validation, Valuation, Risk Management, or Portfolio Management Demonstrated expertise in developing and applying analytical models for financial instruments Familiarity with regulatory frameworks related to model risk in the asset management industry is a plus Strong understanding of liquidity risk models as well as market risk models such as Value at Risk (VaR) and Stress Testing Proficient in programming languages such as Python, MATLAB, or R, and experienced with databases (SQL) Prior experience with BlackRock Solutions Aladdin is preferred Excellent verbal and written communication skills, with the ability to proactively and effectively communicate with management Proactive mindset with a focus on process improvement and innovative solution development Strong organizational skills and the ability to manage multiple priorities effectively 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.

Are you passionate about solving logical problems and working through challenging math? Turing is looking for PhD-level researchers in physics to test the reasoning capabilities of large language models (LLMs). You’ll create physics problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create physics problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. For a 1D Brownian motion starting at the origin, define the last return time to zero and the time spent on the positive axis as fractions of total time. Find the exact joint probability distribution of these scaled times, expressed using the Heaviside function to specify its support. Eligibility: Currently enrolled in or have completed a Ph.D. or Postdoctoral in Physics, Applied Physics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process : Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models.

Are you passionate about solving logical problems and working through challenging math? Turing is looking for PhD-level researchers in physics to test the reasoning capabilities of large language models (LLMs). You’ll create physics problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create physics problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. For a 1D Brownian motion starting at the origin, define the last return time to zero and the time spent on the positive axis as fractions of total time. Find the exact joint probability distribution of these scaled times, expressed using the Heaviside function to specify its support. Eligibility: Currently enrolled in or have completed a Ph.D. or Postdoctoral in Physics, Applied Physics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process : Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models.

Are you passionate about solving logical problems and working through challenging math? Turing is looking for PhD-level researchers in physics to test the reasoning capabilities of large language models (LLMs). You’ll create physics problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create physics problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. For a 1D Brownian motion starting at the origin, define the last return time to zero and the time spent on the positive axis as fractions of total time. Find the exact joint probability distribution of these scaled times, expressed using the Heaviside function to specify its support. Eligibility: Currently enrolled in or have completed a Ph.D. or Postdoctoral in Physics, Applied Physics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process : Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models.

Are you passionate about solving logical problems and working through challenging math? Turing is looking for PhD-level researchers in physics to test the reasoning capabilities of large language models (LLMs). You’ll create physics problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create physics problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. For a 1D Brownian motion starting at the origin, define the last return time to zero and the time spent on the positive axis as fractions of total time. Find the exact joint probability distribution of these scaled times, expressed using the Heaviside function to specify its support. Eligibility: Currently enrolled in or have completed a Ph.D. or Postdoctoral in Physics, Applied Physics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process : Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models.

Are you passionate about solving logical problems and working through challenging math? Turing is looking for PhD-level researchers in physics to test the reasoning capabilities of large language models (LLMs). You’ll create physics problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create physics problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. For a 1D Brownian motion starting at the origin, define the last return time to zero and the time spent on the positive axis as fractions of total time. Find the exact joint probability distribution of these scaled times, expressed using the Heaviside function to specify its support. Eligibility: Currently enrolled in or have completed a Ph.D. or Postdoctoral in Physics, Applied Physics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process : Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models.

Overview We are PepsiCo PepsiCo is one of the world's leading food and beverage companies with more than $79 Billion in Net Revenue and a global portfolio of diverse and beloved brands. We have a complementary food and beverage portfolio that includes 22 brands that each generate more than $1 Billion in annual retail sales. PepsiCo's products are sold in more than 200 countries and territories around the world. PepsiCo's strength is its people. We are over 250,000 game changers, mountain movers and history makers, located around the world, and united by a shared set of values and goals. We believe that acting ethically and responsibly is not only the right thing to do, but also the right thing to do for our business. At PepsiCo, we aim to deliver top-tier financial performance over the long term by integrating sustainability into our business strategy, leaving a positive imprint on society and the environment. We call this Winning with Pep+ Positive . For more information on PepsiCo and the opportunities it holds, visit www.pepsico.com. PepsiCo Data Analytics & AI Overview: With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&AI) transforms data into consumer delight. We build and organize business-ready data that allows PepsiCo’s leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise. The Data Science Pillar in DA&AI will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within DA&AI Products. And will support “pre-engagement” activities as requested and validated by the prioritization framework of DA&AI. Data Scientist-Gurugram and Hyderabad The role will work in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Machine Learning Services and Pipelines. Responsibilities Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards Use big data technologies to help process data and build scaled data pipelines (batch to real time) Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure/AWS/GCP Pipelines. Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure Automate ML models deployments Qualifications Minimum 3years of hands-on work experience in data science / Machine learning Minimum 3year of SQL experience Experience in DevOps and Machine Learning (ML) with hands-on experience with one or more cloud service providers. BE/BS in Computer Science, Math, Physics, or other technical fields. Data Science - Hands on experience and strong knowledge of building machine learning models - supervised and unsupervised models Programming Skills - Hands-on experience in statistical programming languages like Python and database query languages like SQL Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators Any Cloud - Experience in Databricks and ADF is desirable Familiarity with Spark, Hive, Pig is an added advantage Model deployment experience will be a plus Experience with version control systems like GitHub and CI/CD tools Experience in Exploratory data Analysis Knowledge of ML Ops / DevOps and deploying ML models is required Experience using MLFlow, Kubeflow etc. will be preferred Experience executing and contributing to ML OPS automation infrastructure is good to have Exceptional analytical and problem-solving skills

We are looking for a Site Reliability Engineer (SRE) with a strong background in Google Cloud Platform (GCP), Google BI and AI/ML tools (Looker, BigQuery ML, Vertex AI, etc.). The ideal candidate will be responsible for ensuring the reliability, performance, and scalability of our on-premises and cloud-based systems along with focus on reducing costs for Google Cloud. What You’ll Do Work in a DevSecOps environment responsible for the building and running of large-scale, massively distributed, fault-tolerant systems. Work closely with development and operations teams to build highly available, cost effective systems with extremely high uptime metrics. Work with cloud operations team to resolve trouble tickets, develop and run scripts, and troubleshoot Create new tools and scripts designed for auto-remediation of incidents and establishing end-to-end monitoring and alerting on all critical aspects Build infrastructure as code (IAC) patterns that meet security and engineering standards using one or more technologies (Terraform, scripting with cloud CLI, and programming with cloud SDK). Participate in a team of first responders in a 24/7 environment, follow the sun operating model for incident and problem management What Experience You Need BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent job experience required 2-5 years of experience in software engineering, systems administration, database administration, and networking. 1+ years of experience developing and/or administering software in public cloud Experience in monitoring infrastructure and application uptime and availability to ensure functional and performance objectives. Experience in languages such as Python, Bash, Java, Go JavaScript and/or node.js Demonstrable cross-functional knowledge with systems, storage, networking, security and databases System administration skills, including automation and orchestration of Linux/Windows using Terraform, Chef, Ansible and/or containers (Docker, Kubernetes, etc.) Proficiency with continuous integration and continuous delivery tooling and practices Cloud Certification Strongly Preferred What Could Set You Apart You have experience designing, analyzing and troubleshooting large-scale distributed systems. You take a system problem-solving approach, coupled with strong communication skills and a sense of ownership and drive You have experience managing Infrastructure as code via tools such as Terraform or CloudFormation You are passionate for automation with a desire to eliminate toil whenever possible You’ve built software or maintained systems in a highly secure, regulated or compliant industry You thrive in and have experience and passion for working within a DevOps culture and as part of a team

Position: Lead Associate Professor (Doubt Faculty) Employment Type: Full-Time Work Mode: Online (Remote) Location: Work from Home Salary: Up to ₹8 LPA Work Timings: 03:00 PM – 12:00 AM Subjects - Physics, Chemistry and Maths Segment: - JEE About the Role: We are seeking highly skilled and knowledgeable Associate Professor (Doubt Faculty) JEE to provide real-time doubt resolution and academic support to students through an online platform. The ideal candidate should possess strong subject expertise, excellent problem-solving abilities, and a passion for guiding students to academic success. Key Responsibilities: Provide timely and accurate doubt resolution to students through an online platform. Offer detailed explanations and step-by-step solutions to enhance conceptual understanding. Assist students in solving complex academic problems across various subjects. Ensure high engagement and quick response times to facilitate a seamless learning experience. Maintain academic integrity and adhere to the organization’s quality standards for doubt resolution. Required Qualifications & Skills: Educational Qualification: Bachelor’s/Master’s/Ph.D. in a relevant subject area. Technical Requirements after selection : Laptop, Pentab, and a stable WiFi connection (mandatory). Subject Expertise: Strong command over the subject and the ability to simplify complex concepts. Communication Skills: Excellent verbal and written communication skills. Work Ethics: Self-motivated, responsible, and committed to student success.

We’re Hiring! | Sales Academic Mentor – Physics Wallah (Curious Junior) | Noida Location: Noida Department: Curious Junior Join Physics Wallah – Curious Junior as a Sales Academic Mentor and help students and parents make informed academic choices while achieving sales goals. If you thrive in a fast-paced, target-driven environment and have excellent communication skills — we’d love to meet you! Key Responsibilities: Engage with students and parents via calls & WhatsApp to understand their needs Counsel them on courses and convert leads into enrollments Deliver persuasive sales pitches and meet weekly/monthly targets Maintain accurate records and follow up diligently to maximize conversions Collaborate with teams for smooth student onboarding and share feedback to improve offerings Qualifications & Skills: Bachelor’s degree in any field 1–2 years of EdTech sales or counseling experience preferred Proficient English communication is a must Strong negotiation, interpersonal, and closing skills Target-oriented, self-motivated, and open to working weekends Familiarity with CRM tools & basic computer skills How to Apply: Apply now or send your CV to kirti.dhawan@pw.live with the subject: "Applying for Sales Academic Mentor Role" Be part of Physics Wallah – Curious Junior and shape the future of learners! #Hiring #SalesAcademicMentor #PhysicsWallah #CuriousJunior #NoidaJobs #EdTech

Job Description Independently determines project scope, develops a preliminary plan of investigation, and determines project specifications such as cost, time, and sample requirements by analyzing client input, available supplemental data, and product construction. Projects may include frequent travel to conduct or witness tests at client sites. Initiates communication with clients to promote and explain the benefits of new and existing services. Follows up on contacts from clients. Communicates with clients to discuss technical issues, explain UL procedures and requirements, convey project cost, and negotiate completion date and sample requirements. Acts to address client concerns and to resolve client issues. Provides technical assistance to clients in reference to product inspection and follow-up services. Establishes appropriate test programs by reviewing files and manufacturer's information, examining samples, and applying UL requirements. Notifies client of any areas in which the product is not in compliance with UL requirements or of any changes in project scope or specifications. Coordinates laboratory activities by preparing data sheets and instructions to technicians, scheduling and reviewing work of Laboratory Technicians and support staff and establishing completion dates. Coordinates administrative aspects of project management. Serves as Project Handler of record and may sign as Reviewer of record as assigned. Communicates project status and results to clients through frequent contact and by preparing reports. Prepares Follow-Up Service Procedures and information pages. Integrates continuous improvement concepts and techniques into all aspects of the job. Resolves engineering issues associated with Variation Notices by analyzing and reporting on the acceptability of the variations. Proposes development of new and/or revised UL requirements. Develops special test methods and test equipment. Coordinates and/or performs File Reviews. May represent UL at industry related functions such as seminars and trade shows. May provide direction as a Primary Designated Engineer or Designated Engineer for specific product categories. May directs and review work of assigned staff. May train office, field, and/or laboratory staff and entry-level engineers. Provides technical assistance to laboratory and/or field staff. Read and follow the Underwriters Laboratories Code of Conduct and follow all physical and digital security practices. Performs other duties as directed. Qualifications University Degree in Engineering, Engineering Technology, Industrial Technology, Manufacturing Technology, or Physics from an accredited program plus four years directly related work experience. Detailed knowledge of the technical vocabulary common to the appropriate discipline. Working knowledge of conformity standards in use in area of expertise. Demonstrated ability to apply project-handling concepts in use in area of expertise.

Need Physics PG teachers for Home tuition , Online and at center Job Types: Full-time, Part-time, Permanent, Fresher Pay: From ₹200.00 per hour Expected hours: 10 per week Experience: total work: 1 year (Preferred) Work Location: In person

POSITION Electrical Design Engineer DEPARTMENT Design REPORTS TO Design Manager/ General Manager Job brief: Electrical Design Engineer is expected to apply engineering principles, physics and materials science for the analysis, design, installation and maintenance of electrical systems. Electrical Design Engineer creates solutions, which can range from small component designs to large-scale systems. More commonly you would be working on security, alarm systems, lighting and HV / LV systems. Electrical Design Engineers have the opportunity to work on all stages of design for electrical services, from the early research, development (Concept Design) all the way through to detailed design, installation and final commissioning. Responsibilities: Evaluates electrical systems, products, components, and applications by designing and conducting research programs; applying knowledge of electricity and materials. Confirms system's and components' capabilities by designing testing methods; testing properties. Develops electrical products by studying customer requirements; researching and testing manufacturing and assembly methods and materials. Develops manufacturing processes by designing and modifying equipment for building and assembling electrical components; soliciting observations from operators. Assures product quality by designing electrical testing methods; testing finished products and system capabilities and Provides engineering information by answering questions and requests. Prepares product reports by collecting, analyzing, and summarizing information and trends. Maintains product and company reputation by complying with regulations. Keeps equipment operational by following manufacturer's instructions and established procedures; requesting repair service and creating reports and documentation Maintains product data base by writing computer programs; entering data. Completes projects by training and guiding technicians. Contributes to team effort by accomplishing related results as needed. Keeping up to date with the latest building regulations and solving complex problems Communicating with clients and contractors. Liaising with suppliers, clients, architects and contractors and visiting on site Requirements: Strong written and verbal communication skills. Planning and organizational skills, such as time and resource allocation. Knowledge of Design Software like Dialux, ETAP, Amtech etc preferred. Strong initiative, IT literate and Decisiveness. Excellent problem solving skills and commercial awareness. B.E / B.Tech Electrical Engineering with minimum 5 years experience. Job Types: Full-time, Permanent Pay: ₹40,915.29 - ₹55,625.31 per month Benefits: Health insurance Leave encashment Provident Fund Work Location: In person

Job Description: Master Teacher (Physics/Maths) - JNV team, Avanti Fellows Position Summary: The Master Teacher is the backbone of Avanti’s classroom responsible for the end-to-end operations for one Jawahar Navodaya Vidyalaya school including teaching, inspiring, training and motivating students towards achieving their learning goals. We are looking of Teachers having 4-6 years of experience in Teaching(JEE Advance/NEET level) Key responsibilities include, but are not limited to 1. Classroom Teaching and Management Conduct Offline classes. Prepare for classroom sessions with Presentation Slides in advance and teach students for ~30 hours a week using Avanti’s unique pedagogy in which students discuss conceptual questions with peers and work collaboratively on problem sets/assignments. Explains concepts with clarity in a creative & interesting way using real life examples. Actively monitor students’ progress, their classwork and homework to ensure that they are on track to achieving their learning goals. Encourage self-discipline and punctuality in Avanti Classroom. 2. Training Orient new hires about Avanti Pedagogy and introduce them to the teaching process. Conduct training sessions to new hires and help them improve in teaching skills and maintain the training notes. 3. Mentoring, Career Guidance and Academic Support Build strong relationships with students through one-on-one interaction sessions, helping students overcome their problems – both academic and personal – in the process. Regularly work with students to break down their academic workload into small achievable goals; Track their progress on these goals. Debrief with students regularly on their test scores and classroom performance (both CBSE board and Avanti); suggesting ideas for improvement. Enable students to chalk out their future career paths by providing them with information about different options available to them based on their strengths and interests. 4. Parent Engagement Discuss student performance with their parents in person or over phone at least once a month. Conduct Parent Teacher Meetings(PTMs) in schools at least once every 3 months and share aggregate and individual reports on student performance with parents. 5. Data Analysis Consistently collect and upload feedback about classroom and test performance on Avanti’s online learning management system. Quarterly analyse students’ performance and track high/low performers; provide necessary support. Generate insights on reasons for poor student performance; devise solutions to address those problems. 6. Additional Initiatives Create a healthy learning culture by working on initiatives like (but not limited to) arranging expert guest sessions, organizing field trips/excursions, planning scientific debates in the classroom, etc. Requirements: Basic proficiency in using computer software. Full time degree in M.Sc./ B.E./B.Tech/M.Tech. Passion for teaching & working in the Education Sector. Previous experience in teaching is a plus. Proficiency in Class XI & XII Physics. Experience required is 4-6 years teaching JEE/NEET level. Belief that all students can learn and achieve their goals. Ability to connect with, inspire and motivate students. Strong interpersonal & communication skills. Salary Details: Commensurate with experience. Location: COE Hassan, Karnataka. Job Type: Full-time Pay: ₹600,000.00 - ₹1,000,000.00 per year Benefits: Cell phone reimbursement Health insurance Internet reimbursement Schedule: Day shift Supplemental Pay: Yearly bonus

A TGT (Trained Graduate Teacher) Science Teacher is responsible for teaching science subjects to middle and secondary school students, typically grades 6-10. Their duties include developing lesson plans, conducting classes, facilitating lab experiments, assessing student progress, and adapting teaching styles to meet diverse learning needs. They also play a role in fostering a positive learning environment, encouraging critical thinking, and promoting scientific inquiry. Key Responsibilities: Curriculum Delivery: Teach science subjects (Biology, Chemistry, Physics, Earth Science) following the prescribed syllabus and develop engaging lesson plans. Instructional Methods: Employ various teaching techniques, including lectures, demonstrations, hands-on activities, and digital tools, to make learning interactive and enjoyable. Assessment and Evaluation: Conduct assessments, quizzes, and exams to evaluate student learning and provide feedback on their progress. Classroom Management: Maintain a positive and disciplined learning environment, encouraging student participation and fostering a love for science. Student Development: Identify and support students with different learning needs, providing academic guidance and mentoring. Laboratory and Extracurricular Activities: Supervise and facilitate laboratory experiments, and encourage students to participate in science competitions and projects. Professional Development: Stay updated with current developments in science education and participate in relevant training and workshops. Additional Responsibilities: Setting and correcting papers. Developing and updating learning modules. Organizing and participating in extracurricular activities. Assisting with departmental activities. Communicating with parents and guardians about student progress. Maintaining student records and grades. Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹30,000.00 per month Work Location: In person

Urgent requirements of PGT Physics, PGT Chemistry, PGT Pol.Science, PGT Biology & Librarians at Akal Academy Manoli Surat, Dera Bassi, Punjab 140601. Interested candidates, kindly send your CVS to WhatsApp 88948-00395 Job Types: Full-time, Permanent, Fresher, Contractual / Temporary Contract length: 12 months Pay: ₹10,000.00 - ₹25,000.00 per month Benefits: Commuter assistance Food provided Provident Fund Schedule: Day shift Fixed shift Morning shift Language: English (Required) Work Location: In person Application Deadline: 28/07/2025 Expected Start Date: 22/07/2025

Guest faculty- Physics Qualification : MSc. Physics Pay : 400/ hour Key Responsibilities: Deliver comprehensive lectures on your paper. Assess student progress and provide constructive feedback. Collaborate with the academic team to refine the curriculum. Job Types: Part-time, Fresher, Contractual / Temporary, Freelance Benefits: Cell phone reimbursement Paid sick time Paid time off Work Location: In person

Role: Visiting Faculty - Physics Vacancy-1 Compensation : 400 per hour Key Responsibilities Deliver lectures on the subject. Facilitate interactive and engaging classroom discussions to enhance students' learning experience. Conduct assessments, grade assignments, and provide constructive feedback to students. Guide and mentor students in research, projects, and extracurricular activities. Essential Qualifications: Master’s Degree in Physics with a minimum of 55% marks (or equivalent) from a recognized university. Preferable UGC NET or Ph.D. in Chemistry(as per UGC norms). Minimum 3-4 years teaching experience Job Type: Part-time Pay: ₹400.00 per hour Work Location: In person

JOB TITLE - SCHOOL LAB ASSISTANT Candidate should be young and dynamic.Candidate should be M.SC or B.SC. Main Duties and Responsibilities To assist teaching staff and students learning through efficient and effective organisation/maintenance of materials and equipment. To be a Technician in the School and to assist in the science areas as required and where appropriate use ICT. To ensure science laboratories and prep rooms are maintained to comply with Health and Safety requirements and safety checks as detailed in relevant checklists. General maintenance of each laboratory or room, including the care and maintenance of services, stores, laboratory workshop equipment, drainage systems, working surfaces etc., reporting any repairs required to the appropriate person for action. Maintenance of stock to meet requirements, requisitioning to the approved standards, receipt, and storage of new materials, including materials requiring special care i.e., toxic chemicals, the return of empty bottles and containers. Preparation, maintenance, and safe storage of apparatus both for demonstration and practical work in the courses taken in the school or department to which the Assistant is allocated and providing the resources required for lessons including photocopying, collation, typing, filing, etc. Qualification: Bachelor's/Master's Degree in the subject concerned from any recognised University. Work experience in any college or university labratory as an assistant. Adequate knowledge of scientific instruments in the laboratory and their maintenance. 3 Years (preferred) experience in CBSE School.Freshers can also apply Job Types: Full-time, Permanent Pay: ₹10,000.00 - ₹15,000.00 per month Benefits: Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Morning shift Ability to commute/relocate: Pulgaon, Durg - 491001, Chhattisgarh: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Required) Experience: total work: 3 years (Required) Location: Pulgaon, Durg - 491001, Chhattisgarh (Required) Work Location: In person Application Deadline: 20/03/2022

Job Type: Part-time Salary Range: 20,000 - 25,000 per month **Candidate should be from Assam** P&C Academy is an Integrated School providing the best of schooling and coaching under the same roof. It is run by the most successful and trusted educational group of Northeast - Potential & Concept Group of Educations. The group has not only revolutionized the competitive coaching industry, in the last 13+ years of its tenure but still shattering and setting new records of success in the region. Responsibilities: Plan, prepare, and deliver engaging Physics lessons in accordance with the school's curriculum and educational standards. Foster a positive and inclusive learning environment that encourages active participation and critical thinking among students. Utilize a variety of teaching methodologies, resources, and technology to enhance the learning experience and cater to diverse learning styles. Assess student progress regularly through quizzes, tests, assignments, and projects, providing constructive feedback to support their academic growth. Collaborate with colleagues to develop interdisciplinary learning opportunities and enrichment programs. Maintain accurate records of student attendance, academic performance, and other relevant information. Communicate effectively with parents/guardians regarding student progress, achievements, and any concerns that may arise. Participate in staff meetings, professional development sessions, and other school-related activities as required. Requirements: A Master's degree in Chemistry or a related field from a recognized institution. B.ed from a recognized institution. Previous teaching experience at the secondary level, preferably in an international school setting. Proficiency in instructional technology and the ability to integrate it effectively into teaching practices. Excellent communication, interpersonal, and organizational skills. A growth mindset and a commitment to lifelong learning and professional development. Strong moral character and a passion for nurturing the holistic development of students. Ability to work collaboratively within a diverse and multicultural environment. Valid teaching certification/license preferred. If you are passionate about empowering students to explore the wonders of Chemistry and make meaningful contributions to their academic journey, we invite you to join our team at P&C Academy . Apply now and become a part of our vibrant learning community! Job Type: Full-time Pay: ₹20,000.00 - ₹25,000.00 per month Schedule: Day shift Work Location: In person

We’re Looking For: Thorough knowledge of Physics across all high‑school levels Specialism in Mechanics, Optics, Thermodynamics & Electrodynamics Familiarity with competitive exam style questions Able to explain difficult concepts using practical examples Strong classroom control and student rapport Key Responsibilities: Teach engaging classes both in person and online Develop worksheets, sample papers & revise sessions Mentor students, clarify doubts, and guide exam prep Monitor individual progress via quizzes & assignments Cultivate a curiosity-driven learning environment Job Type: Full-time Pay: ₹10,000.00 - ₹18,000.00 per month Schedule: Day shift Work Location: In person

NVIDIA has been a pioneer in Accelerated Computing and has been paving the way with innovations in Generative AI, Large Language Model (LLM), Autonomous Vehicles, Robotics, High-Performance Computing (HPC), Gaming/Visualization, and Edge/Data Center/Cloud Computing. NVIDIA provides automakers, research institutions, cloud providers, large companies and start-ups the power and flexibility to develop and deploy breakthrough artificial intelligence systems. We are a fast paced, dynamic and dedicated Site Reliability Engineering (SRE) team serving the forefront of the latest science and technology trends on cloud and on-prem infrastructure management for High-Performance & Distributed Computing. Working closely with the development teams, we provide hosted solutions for our internal and external customers. Are you passionate about infrastructure and enjoy working on and resolving intricate multi-faceted issues? Are you eager to have your hands on the engines of the next generation of cloud services? Do you get a buzz from identifying and eliminating toil, designing and coding innovative solutions that address the needs of a whole organization? If so, read on and give us a shout. What you'll be doing: The NVIDIA GPU cloud is a hosted platform for internal R&D teams and external AI/ML stack customers. This SRE team is accountable for the setup, management, reliability and availability of this infrastructure spanning 1000s of GPU nodes. As a senior SRE, you are responsible for: Providing scalable and robust service oriented infrastructure automation, monitoring and analytics solutions for NVIDIA's on-prem and cloud based GPU infrastructure. You will own the whole life cycle of new tools and services - from requirements gathering, to design documentation, validation and deployment. Provide customer support on a rotation basis. What we need to see: Minimum of 8 years of experience ce in automating and handling large-scale distributed system software deployments in on-prem/cloud environments. Proficiency in any language - Go/Python/Perl/C++/Java/C. Strong command on terraform, Kubernetes and cloud infra administration. Excellent debugging and troubleshooting skills. Ability to design simple and reliable systems that can work without much support. Outstanding teammate who can collaborate and influence in a multifaceted environment. Excellent interpersonal, and written communication skills. M.Sc or B.E in Computer Science or a related technical field involving coding (e.g., physics or mathematics) Ways to stand out from the crowd: Ability to decompose complex requirements into simple tasks and reuse available solutions to implement most of those. Proven record of maintaining platform SLAs through accurate resolutions. Unit testing and benchmarking are an integral part of your code. Ability to reason and choose the best possible algorithm to meet scaling and availability challenges. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Site Name: Bengaluru Luxor North Tower Posted Date: Jul 21 2025 Be You’ at GSK At GSK, we unite science, technology, and talent to get ahead of diseases together. We are a world leader in infectious diseases, including vaccines and HIV, with the broadest portfolio in the industry, pushing the frontiers of respiratory science and improving the lives of millions of patients, recognised for our ESG leadership, making an impact on some of society’s most urgent challenges We’re confident that together we can make a positive impact on the health of more than 2.5 billion people by 2031. When you set out on your adventure at GSK, we make a deal. You commit to living our values and performing against our Innovation, Performance and Trust priorities. In return, GSK commits to providing the right environment for you to thrive. Together, we build an environment where we can all thrive and focus on what matters most to each of us. Job purpose: As the Director, AIML & Decision Science - Global Functions (working closely with the Head of Data & AI for Global Functions and D&A leadership in GSK’s Global Capability Center), you will own and manage AI/ML competency, oversee design, development and deployment of AI/ML & Data Science Products for GSK’s Global Functions. Acting as a competency leader, for business functions and GSK’s Digital & Technology teams (which include Subject Matter Experts and external third-party organizations), you will work closely with senior business leaders (in Finance, Procurement, HR, Legal, Compliance, Risk Management, WREF etc) and various technology leaders to oversee the development and implementation of AI/ML projects, ensuring they are delivered on time, within budget, and with the desired outcomes leveraging GSK’s Enterprise Data Platform. Day-to-day you will use your AIML, data science, business domain and product development expertise to define and refine D&A product visions, strategies and roadmaps to drive the design and delivery of high-quality AI solutions (to enable the company to achieve its objectives. AI and Analytics products currently being delivered by the team include a range of AI and Analytics products, including conversational AI solutions, automation tools, forecasting models, and AI agents designed to achieve business objectives more efficiently than human efforts. Key Responsibilities: Understanding needs, business processes and data requirements of customer-groups and users, and manage key business relationships for your AI/ML portfolio Manage across a portfolio of data products, identify synergies and dependencies, and manage successful delivery. Combining business understanding with knowledge of established and emerging AI/ML capabilities to identify and cultivate use-cases from ideas into potential D&A products Build and manage a team of AI/ML professionals, including data scientists, machine learning engineers, and researchers, ensuring they have clear objectives and the resources needed to succeed. Oversee the development and implementation of AI/ML projects, ensuring they are delivered on time, within budget, and with the desired outcomes Foster a culture of continuous learning and development within the AI/ML team, including mentoring and career growth opportunities Encourage a culture of innovation and experimentation within the team to explore new AI/ML techniques and applications Ensure that AI/ML practices adhere to ethical standards and comply with relevant laws and regulations, particularly regarding data privacy and security. Work closely with other departments, such as GP&T, product management, and business units, to integrate AI/ML solutions into the broader business strategy. Stay abreast of the latest developments in AI/ML technology and research to maintain a competitive edge and apply cutting-edge methods to solve business problems. Engage with internal partners to understand and probe business processes to develop hypotheses and bring structure to requests and translates requirements into an analytic approach Work collaboratively with business leaders in Identifying critical business problems that could be solved using Generative AI. Identify opportunities to leverage the latest Large Language Models (LLMs) Thinking and acting with agility, using experimentation, user demos and other sources of rapid feedback to iteratively refine the D&A Product Roadmap and backlog throughout the Product lifecycle Confirming delivery from development team meets the business requirements and creates the expected value in line with business KPIs Coaching and guiding wider Data, Analytics and AI teams, promoting a culture of continuous improvement Basic qualifications: We are looking for professionals with these required skills to achieve our goals: PhD in Computer Science, Applied Math, Economics, Statistics, Physics, Systems Biology, Computational Biology, Bioinformatics, or related field 18+ years of technical experience in delivering solutions involving Data Science, Machine Learning or Statistics 10+ years in managing cross-functional teams and leading the execution of highly visible complex projects, demonstrating strong project management. Strong relevant experience of Data & Analytics Product Development (ideally within a cloud environment like Azure) Domain knowledge in life science industry is preferred Inclusion at GSK: As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process. Please contact our Recruitment Team at IN.recruitment-adjustments@gsk.com to discuss your needs. #LI-GSK Skills Artificial Neural Networks (ANNS), Computer Programming, Deep Learning, Feature Engineering, Google Cloud Platform (GCP) for Machine Learning, Machine Learning Operations, Model Evaluation, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC) Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. It has come to our attention that the names of GlaxoSmithKline or GSK or our group companies are being used in connection with bogus job advertisements or through unsolicited emails asking candidates to make some payments for recruitment opportunities and interview. Please be advised that such advertisements and emails are not connected with the GlaxoSmithKline group in any way. GlaxoSmithKline does not charge any fee whatsoever for recruitment process. Please do not make payments to any individuals / entities in connection with recruitment with any GlaxoSmithKline (or GSK) group company at any worldwide location. Even if they claim that the money is refundable. If you come across unsolicited email from email addresses not ending in gsk.com or job advertisements which state that you should contact an email address that does not end in “gsk.com”, you should disregard the same and inform us by emailing askus@gsk.com, so that we can confirm to you if the job is genuine.

Title: Software Engineer – Geometric Vision Location: Bangalore, India Role Level: 2-4 years of work experience in a similar background (Computer Vision, 3D Geometry, Localization). Salary: 18 L Key Requirements: • Design, development and implementation of on-board computer vision algorithms, using both classical and modern methods, meant for real-time robot localization in an indoor warehouse setting. • Contribute to geometric vision algorithms involving 3D computer vision tasks such as dense/sparse 3D reconstruction, Multiview pose estimation, RGBD fusion, 3D object detection and 3D dimensioning. • Implement sensor fusion techniques to integrate data from multiple sensors such as LIDAR, Cameras, IMU and ToF to enhance the accuracy and robustness of vehicle navigation. • Strong Python programming skills with an understanding of deep learning frameworks and workflow. Responsible for conducting thorough testing and debugging of Python code, ensuring the reliability and robustness of pipeline implementations. • Contribute to the product architecture, make decisions on sensor selections, and deploy solutions in various customer sites and gauge system efficiency on a day-today basis. • Ownership of the development and implementation of pipelines for computer vision and machine learning algorithms and packaging software for efficiency. • Hands-on experience in computer vision and machine learning projects, solving real- world problems involving vision tasks. • Ability to understand problem statements and implement and test new ideas under supervision. • Maintain comprehensive documentation of code, algorithms, and pipelines. • Capability to work collaboratively in a team and communicate effectively. Must Have: • Strong Python programming skills. Responsible for conducting thorough testing and debugging of Python code, ensuring the reliability and robustness of pipeline implementations. • Strong foundation in physics and robotics systems – including ROS, 3D simulations and sensor fusion based navigation algorithms. • Proven experience in developing Navigation and Localization algorithms for autonomous vehicles, robotics, drones, maritime vehicles or similar application • Hands-on experience in computer vision (classical and modern), visual odometry and SLAM projects, solving real-world problems involving vision, navigation and localization tasks. • Deep mathematical foundations with knowledge of 3D Multi-view Geometry, Advanced Linear Algebra, Numerical Optimization, etc. • Deep insights into depth cameras and 3D data characteristics. • Ownership of the development and implementation of modules for computer vision and packaging software for efficiency. • Maintain comprehensive documentation of code, algorithms, and pipelines. • Capability to work collaboratively in a team and communicate effectively.