Assistant Professor Jobs

Job description Production Operator / Food Production Assistant 工厂员工 (AIR CON, WALKING DISTANCE FROM PAYA LEBAR MRT) Job Description & Requirements RESPONSIBILITIES • Pack fruits and assist with fruit juice production • Check the quality of all food items to ensure they meet food safety standards. • Maintain cleanliness of the workplace. • Able to work in a clean and cool food production environment. • Assist with other ad hoc duties as required. QUALIFICATIONS • No experience needed (training provided). • Seniors are welcome to apply. • Must be comfortable standing while working. WORKING HOURS • Monday to Friday: 9:00 AM 6:00 PM • Saturday: 8:00 AM 12:00 PM (Half Day) • Sunday: Off • 5.5-day work week 职位描述 工作职责 • 负责水果及果汁产品的包装工作 • 检查食品质量 并进行品质控制 确保符合食品安全标准 • 保持工作场所整洁 卫生 • 能够适应食品生产环境 环境干净 凉爽 • 根据工作需要 协助完成其他临时安排的工作 任职要求 • 无需相关工作经验 公司提供培训 • 欢迎乐龄人士申请 • 能够接受长时间站立工作 工作时间 • 星期一至星期五 上午9:00至下午6:00 • 星期六 上午8:00至中午12:00 半天 • 星期日 休息 • 工作制度 每周工作5天半 5.5天工作制

Looking for a workplace experience executive/ Assistant manager to handle events and customer relations Address: Level 1 2 & 3 Luxor North Tower Bagmane Capital Doddanekundi K R Puram Marathahalli Outer Ring Road Bangalore 560037 Facility: GSK INDIA GLOBAL SERVICES - FM B'LORE Qualification: Graduate Experience: 4 - 6 years Source: Sodexo India | Job Code: IJP527364

The Field CTO is the most senior technical voice in the field. Here's the version we're hiring for. The Field CTO sits a level above the Solution Architect. Where the SA leads the technical strategy on complex deals, the Field CTO owns the technical narrative across the territory, shapes how the market understands Sigma's architecture, and carries the credibility to win the room when the CTO, CDO, and CISO are all in it. This person does everything a senior SA does, then operates a tier higher: as a peer to enterprise executives, a force multiplier across the entire Solution Engineering team, and a direct line back into Product and Engineering. Three things sit at the center of this role. The Field CTO does all three at the highest level, with the architectural depth and executive presence to back it up. 1. Use AI every day, and set the standard for how the team uses it. The Field CTO treats AI tooling as default infrastructure and raises the bar for everyone else. You run Claude, ChatGPT, Cursor, or equivalents to compress account prep, architecture design, prototype builds, RFP responses, and discovery synthesis from weeks into days. You bring a clear point of view on what to run, why, and where it breaks. You don't just use these tools well. You teach the SE and SA teams how to use them better, and you build the workflows the rest of the field adopts. 2. Sell AI into the account at the executive level. Buyers want to talk about agents, MCP, A2A, context engineering, and which model powers what. You're fluent, and you can take that conversation to the most senior technical buyer in the building. You know Sigma's AI surface cold: Sigma Assistant in build, analyze, and plan modes, AI functions, input tables with LLM enrichment, MCP integration, Sigma agents, and warehouse agents. You architect these into a customer's stack, defend the tradeoffs to a head of data and a CISO in the same call, and frame the long-term AI strategy for a CTO who's deciding w

Solution Architect Sigma Computing The SA role has evolved. Here’s the version we’re hiring for. The SA job in 2026 is not the SA job in 2023. Three things now sit at the center of how we evaluate this role. This hire has to do all three at a senior level, with the architectural depth to back it up. 1. Use AI every day to do the job better. If you are not using Claude, ChatGPT, Cursor, or equivalents to accelerate your account prep, architecture diagramming, prototype builds, RFP responses, and discovery synthesis, you are getting outworked by SAs who are. We expect this hire to treat AI tooling as default infrastructure, not novelty. Come with a point of view on what you run, why, and how you use it to compress weeks of work into days. 2. Sell AI into the account. Buyers want to talk about agents, MCP, A2A, context engineering, and which model is powering what. You have to be fluent. You know Sigma’s AI surface cold: Sigma Assistant in build, analyze, and plan modes, AI functions, input tables with LLM enrichment, MCP integration, and warehouse-native agent patterns. You can architect Sigma agents and warehouse agents into a customer’s stack and explain the tradeoffs to a head of data and a CISO in the same call. You also speak credibly about Claude, OpenAI, Gemini, and the broader stack the customer already runs. 3. Sell against AI. Every enterprise deal has AI competition in it. Sometimes it is Databricks Genie. Sometimes it is Snowflake Cortex Analyst. Sometimes it is a systems integrator pitching a bespoke agent built over the weekend. You know where each of these breaks at scale, where Sigma’s warehouse-native architecture wins on governance, freshness, and cost, and how to draw the line for a skeptical CDO without hand-waving. You can defend that position in an architecture review, on a security questionnaire, and across three follow-up calls. About Sigma Sigma is the AI runtime environment for the modern enterprise. Teams build apps, agents, an

Become a part of our caring community The Occupational Therapy Assistant assists the Occupational Therapist with client related activities and performs delegated procedures commensurate with education and training. All services are initiated and provided under the direction of plan of treatment established by a physician. Evaluations are performed by peers. Occupational Therapist Assistant (OTA) job duties and responsibilities are to participate as a team member who contributes to total client care under the direction and supervision of a Licensed Occupational Therapist. Administer treatment program in accordance with the Plan of Care. Teach activities of daily living. Provide training in proper use of prosthetic devices and adaptive equipment. Observe, records and reports to supervisor conditions, reactions and responses related to assigned duties. Observes and reports to Licensed Occupational therapist changes in the client’s condition and level of function, results of testing and responses to therapeutic program. Provides appropriate documentation of services in keeping with Agency policies and procedures. Respects patients’ rights, cultural beliefs. Maintains strictest confidentiality of all patient/Agency information. Adheres to all Agency policies and procedures including HIPAA. Accepts only those assignments for which qualified. Use your skills to make an impact Required Qualifications Currently licensed in the State of Florida CPR certification OSHA Certificate HIV/AIDS Certificate HIPAA Certificate Alzheimer's Certificate Medical Errors Certificate Domestic Violence Certifica

Chief Cook Continental cook Asst. Cook Head Chef Assistant Chef Pastry Chef Commis Chef Sous Chef Kitchen Helper Chef de partie Catering Supervisor Restaurant Supervisor Steward Supervisor Food & Beverage Supervisor Housekeeping Supervisor Dishwasher Barista Food & Beverage Service Pizza Chef Housekeeping Workers Laundry Workers Laundry Supervisor Food Quality officer Safety Engineer Health & Safety Officer Fire & Safety Officer Commis I II Stewards Captain Waiter / Waitress Butcher Food Packing Workers Aircraft Loading / Unloading Helper Aircraft Cleaning Helper Trolley Helper Store Keeper Data entry operator Office Assistant Accountant System Service Engineer Computer Operator Airport Bus Driver (Heavy Duty) Airport Tanker driver (Heavy Duty) Airport Truck Driver (Light Duty) Forklift Operator (Low Duty) Forklift operator (Heavy Duty) Air Con Technician Security Guard Electrician Plumber Time Keeper Transport Supervisor Sales workers (Airport duty free shop) Cashier (Airport duty free shop) C.C. T.V. Technician Generator Mechanic Lift Technician Fire Alarm technician Tally Clerk Cleaning Supervisor Admin Clerk Mechanical Engineer Mechanical Supervisor Diesel Mechanical Technician Mechanical Draughtsman Electrical Engineer Electrical Supervisor Electrical Technician High Voltage Electrical Draughtsman Auto Electrician Auto Spray painter Auto air condition technician T.V. Mechanic Tire Man Water Service Worker Fuel Station worker Workshop Helper Liner Tinker Head Nurse Assistant Nurse Chief Laboratory Technician X Ray Technician Chief Pharmacist Ambulance Driver Ward Assistant Sweeper Assistant Pharmacist Assistant Laboratory Technician Chief Civil Engineer Assistant Civil Engineer Chief Civil Draughtsman Assistant Civil Draughtsman Chief Civil Land Surveyor Assistant Civil Land Surveyor Civil Site Supervisor Construction Safety Engineer Construction Safety officer Welder Arc & Gas Fabricator Scaffolder RCC Fitter Wall Painter Concrete Mix Operator Dozer Operator Ex

About the Team ChatGPT is evolving from answering questions to becoming a deeply personalized assistant that helps people discover, create, and make decisions across everyday life. We're building new multimodal product experiences that combine language, images, personalization, and interactive interfaces to help millions of users accomplish tasks in entirely new ways. This team sits at the intersection of AI research, product engineering, design, and consumer experiences. We move quickly, ship frequently, and work on products that define how people interact with AI every day. About the Role We're looking for exceptional full stack product engineers who love building polished consumer experiences from the ground up. You'll work across frontend, backend, AI-powered workflows, and rich interactive interfaces to create new product experiences that blend conversation, visual understanding, personalization, and commerce. You'll collaborate closely with designers, researchers, product managers, and model teams to rapidly prototype, launch, and iterate on experiences used by millions of people. This is an opportunity to help invent entirely new interaction paradigms—not just build traditional web applications. In This Role, You Will Design and build end-to-end product experiences across web services, APIs, and modern frontend applications. Partner closely with product, design, and research to rapidly prototype and launch new AI-native experiences. Build intuitive, performant interfaces that make advanced AI capabilities feel simple and delightful. Develop scalable backend systems that power personalized, real-time product experiences. Work with multimodal capabilities including text, images, and interactive UI components. Iterate quickly using user feedback, experimentation, and product metrics. Help define engineering standards, architecture, and technical direction for a fast-growing product area. You Might Thrive If You Have significant experience building consumer-facin

P-1504 The Applied AI team at Databricks sits at the forefront of advancing GenAI-powered products. Over the past years, we’ve launched Databricks Assistant , AI/BI Genie , and Agent Bricks working with product teams, and made significant strides in LLM quality for these products. These products are used by 100s of thousands of Databricks users every day. We are tackling challenging problems like code suggestion, error detection and correction, text-to-sql generation, automatic pipeline generation, knowledge QA and many others. As our GenAI products continue to evolve, we are seeking multiple GenAI Engineers from junior levels to more senior levels to drive the next phase of development. In 2025, we will focus on enhancing LLM quality, expanding GenAI capabilities across Databricks products, and strengthening our platform architecture to enable seamless AI interactions at scale. Key Responsibilities Shape the direction of our applied AI areas and intelligence features in our products . Drive the development and deployment of state-of-the-art AI models and systems that directly impact the capabilities and performance of Databricks' products and services (e.g., Databricks Assistant and AI/BI Genie). Develop novel data collection, fine-tuning, and LLM technologies that achieve optimal performance on specific tasks and domains. Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation and iteration. Work closely with cross-functional teams, including AI researchers, ML engineers, and product teams, to deliver impactful AI solutions that enhance user productivity and satisfaction. Build scalable, reusable backend systems to support GenAI products across the company. Develop robust logging, telemetry, and evaluation harnesses to ensure reliable model performance. What We’re Looking For 2-8 years of machine learning engineering expe

Become a part of our caring community The Care Coaching Assistant 2 (Transition Coordination Support Staff) employs a variety of strategies and techniques to support a member's wellness state by coordinating services and resources. The Care Coaching Assistant may support multiple responsibilities including Transitions. You/applicant/employee typically focuses decisions on interpretation of area/department policy and methods for completing assignments. Work within defined parameters to identify work expectations and quality standards, but has some latitude over prioritization/timing, and works. Follow standard practices that allow for some opportunity for interpretation/deviation or independent. Position Responsibilities: Contribute to administration of care coordination, for transitions and custodial prevention teams. Provide non-clinical support to the assessment and evaluation of members' needs and requirements. This support helps achieve and/or maintain an optimal wellness state by guiding members/families toward resources appropriate for their care and wellbeing. Additionally, it facilitates interaction with these resources. Perform varied activities and moderately complex administrative/operational/customer support assignments. Perform computations. Typically work on semi-routine assignments. Use your skills to make an impact Required Qualifications Less than 3 years of technical experience Must reside in the State of Indiana Proficiency in Microsoft Word, Excel and Outlook Excellent verbal and written communication skills Must Reside in the State of Indiana Preferred Qualifications Clerical support background in a healthcare environment Associate or Bachelor's Degree </

At NVIDIA, we’re building GeForce G-Assist — an on-device AI assistant that combines Small Language Models (SLMs), retrieval systems, and hybrid cloud capabilities to deliver responsive, context-aware assistance inside the GeForce ecosystem. We work closely across engineering and product teams to ensure G-Assist performs reliably in real-world scenarios. What you'll be doing: Together, we focus on how models behave in production, not just on benchmarks. Evaluate and improve Small Language Models used in GeForce G-Assist, with an emphasis on accuracy, robustness, and conversational reliability. Identify and mitigate conversation and context contamination, including state drift, prompt leakage, and retrieval cross-talk. Work with SLM and VLM architectures to support text and multimodal interactions. Collaborate on hybrid architectures that combine local SLMs with cloud-based models. We value engineers who enjoy thinking across the full system—from model behavior to runtime performance. Optimize local inference using llama.cpp, including quantization, memory usage, and performance tuning. Read, write, and optimize C/C&#43;&#43; code in performance-critical paths. Design and integrate retrieval-augmented generation (RAG) systems that ground responses in system and user context. Support agentic AI workflows, enabling planning, tool use, and multi-step execution. What we need to see: 5&#43; years of validated experience in system software or a related field, with an M.S. or higher degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience). We’re looking for teammates who enjoy solving real problems, learning as they go, and collaborating in a tight-knit environment. Strong ability to read and write C/C&#43;&#43; code in systems-level or performance-sensitive environments, along with proficiency in Python. Hands-on experience w

Greetings! We are a MNC & looking for a few smart female candidates for "Receptionist cum Personal Assistant" roles across various locations: Hyd, B'lore, Mysore, Mangalore, Chennai. Responsibilities: Act as the point of contact between the manager and internal/external clients Screen and direct phone calls and distribute correspondence Handle requests and queries appropriately Manage diary and schedule meetings and appointments Make travel arrangements Take dictation and minutes Source office supplies Produce reports, presentations and briefs Devise and maintain office filing system Frequently act as a Receptionist Min 12th pass (Graduates will be preferred). High Salary + Accommodation + Medical + PF + Corporate Incentives. Please apply with biodata soon. (Computer knowledge is preferred.) Best, HR

WAITERS 30 NUMBERS RESTAURANT SUPERVISORS 10 NUMBERS Tea Boy 10 NUMBERS Indian Cooks --- 06 NUMBERS Arabic Cooks 03 NUMBERS Western Cooks 02 NUMBERS Assistant Cook 05 NUMBERS Chapathi Maker 10 NUMBERS Salad Maker 10 NUMBERS Bakers 30 NUMBERS Storekeepers 05 NUMBERS Camp Boss / Manager 15 NUMBERS Site Supervisor 07 NUMBERS Gym Trainer 05 NUMBERS Life Guard (Swimming Pool) 03 NUMBERS Laundry Man 10 NUMBERS Swimming Pool Technicians 05 NUMBERS Housekeeping Supervisor 10 NUMBERS Housekeeper 10 NUMBERS Hotel Attendants 10 NUMBERS

About the Team Agentic Foundations, part of New Verticals ML, builds the core AI/ML intelligence that powers high-quality, scalable agents at DoorDash, and proves it through flagship agent experiences such as the Ask grocery assistant. We operate as a closed loop: new models, evals, and representations make our agents better, and real-world agent usage surfaces the gaps that drive our next foundations work. About the Role We’re looking for a Senior Machine Learning Engineer to join Agentic Foundations with a primary focus on Vertical Agent Development. You will own the continuous improvement of our flagship agents, starting with the Ask Assistant, using an eval-driven loop to make them faster, more cost-efficient, and more reliable for millions of customers. You will also help us bring this approach to new agentic experiences for Merchants and Dashers, turning promising ideas into production-ready agents. This is a chance to work at the intersection of LLMs, agents, post-training, and evals on problems that ship. You will partner closely with engineers working on agentic memory, agent-compatible product representations, and post-training of small language models (SLMs), so that what we learn from production agents feeds directly back into our foundations, and what we build there makes our agents better. You will report into the engineering lead on our New Verticals AI/ML team. We expect this role to be hybrid with some time in-office and some time remote. You’re excited about this opportunity because you will… Raise the quality of our Consumer agents: build and refine our eval harness-optimization loop to pinpoint failure modes, then iterate on prompts, tools, skills, and context, and measure the impact on real customer tasks. Find the best balance of quality, latency, and cost: run rigorous experiments, including fine-tuning open-weights models and deploying small language models (SLMs) where they can replace or augment larger LLMs. Launch new agents: take ag

*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-WEB:a419a55f-0d1b-45d2-af2c-2d0a455b61d5-6" data-turn-id-container="request-WEB:a419a55f-0d1b-45d2-af2c-2d0a455b61d5-6" data-testid="conversation-turn-14" data-turn="assistant"> About the job Build the product engineering capability that protects yield, quality and cost at manufacturing scale. As Director of Product Engineering, you will lead how Graphcore products move through launch and high volume production. You will recruit and develop a team focused on semiconductor and PCBA manufacturing performance. Your work will shape yield, quality and cost across chip manufacturing, test, PCBA and system level production. You will give teams the data, standards and direction needed to solve hard production problems. You will work with OSATs, test engineering, manufacturing, quality, data engineering and analytics teams. You will define best practice for data collection, correlation, dashboards and self-service manufacturing insight. This role suits a leader who combines technical depth with team building. You will set the standard for product engineering across Graphcore’s manufacturing lifecycle. The team and culture You will join the Product Test and Diagnosis team within Manufacturing Operations. The team spans Bristol, Cambridge, India, the US and Taiwan. Work happens through clear technical ownership, fast issue resolution and strong links to manufacturing partners. You will lead by setting direction, removing ambiguity and building capability across locations. Decisions are grounded in production data, engineering judgement and accountability for outcomes. The team values leaders who think big, act fast and speak up when quality or yield needs action. What we're looking for · Extensive semiconductor product engineering, test engineering or

This role is responsible to execute operations of the thermal power plant during the shift, focusing on operational efficiency, safety, and compliance. The Lead Assistant Shift In-charge will support the management of all units, switchyard, and Balance of Plant (BoP), and will work closely with the Desk Engineer and other team members to maintain optimal plant performance and handle emergencies. Source: Adani Group | Job ID: 58855