Experienced Electro Optical Infrared Design in India

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. About Airbnb: ​Founded in August of 2008 and based in San Francisco, California, Airbnb is a trusted community marketplace for people to list, discover, and book unique travel experiences around the world. Whether an apartment for a night, a castle for a week or a villa for a month, Airbnb allows people to Belong Anywhere through unique travel experiences at any price point, in more than 85,000 cities and over 191 countries. We promote a culture of curiosity, humanity, and creativity through our product, brand, and, most importantly, our people. What you’ll do Understanding of workforce metrics (SLA, shrinkage, occupancy, adherence, AHT, etc.) with an ability to incorporate insights into planning Deep execution on Queue management, while effectively communicating strategies, processes across Broader Airbnb team and our Outsourced Partners Strong skills in information gathering, data collection with analysis, and reporting SLA performance to broader domains Performance reporting with strong footprint of WFM metrics, RCA with supported narratives using trends and current performance Support site-level resources with real-time management of schedule adherence and analyze performance data to identify opportunities to operate more effectively and efficiently Communicate clearly and empathetically around strategies and business needs; build trust and transparency Self-starter/Teamwork abilities: Workforce analyst must be able to work independently as well as function effectively as a member of a team Ability to handle dynamic situations: They require the ability to work effectively in a fast-p

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Airbnb ACC Enterprise Ops team is a dynamic business unit dedicated to delivering safe, quality stays and exceptional experiences for travelers worldwide. It helps increase supply effectiveness, utilization, and impact using people-powered operations. The Difference You Will Make: As a Supervisor, you will lead a high-performing team that sources, qualifies, and enriches leads to accelerate supply growth in priority geographies and markets. Blending inspirational people leadership with program-management rigor, you will: Maintain a healthy, predictable pipeline of qualified leads Optimize tooling, processes, and KPIs to improve velocity and conversion Surface actionable insights that shape go-to-market and product strategies Foster a culture of inclusion, learning, and operational excellence Your leadership will directly expand Airbnb’s supply and unlock new revenue streams for the business. A Typical Day: A typical day for a Supervisor in a Lead Generation team at Airbnb blends hands-on operational management with program-level thinking to drive supply growth across markets. The role is not limited to tracking daily output. It involves continuously diagnosing performance, improving lead quality, optimizing processes, and aligning with cross-functional stakeholders to ensure that generated leads translate into high-quality hosts on the platform. You are expected to operate both at the execution layer (managing operational metrics) and at a strategic level (building scalable systems, improving conversion funnels, and supporting broader supply growth goals). Review daily per

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community you will join: The Enterprise Operations team is responsible for vetting and improving Homes, Services, Experiences and Hotels supply on Airbnb. Our team runs up to 30 programs at a time across 4 vendor teams. The agent work is a wide variety of data annotation, host outreach, AI assessment and listing vetting, with both permanent and short (2-4 week) initiatives. As a Vendor Performance Manager, you will be the primary operational owner for strategic vendor relationships critical to scaling and managing our quality and vetting programs. The difference you will make: You will be responsible for ensuring our vendors meet and exceed service level agreements (SLAs), drive continuous performance improvement, and maintain strict adherence to Airbnb’s quality standards. This role requires a strong blend of analytical rigor, negotiation skills, and a passion for operational excellence within a global vendor network. A Typical Day: Performance Management & Reporting KPI & SLA Oversight: Own the end-to-end performance of key operational vendors, developing, tracki

... Address: HITEX Exhibition Centre, Opp. Hitex Hall No 1, Survey Number 5, 6 to 5/12, Izzath Nagar, Kondapur, Hyderabad, Telanagana 500084 Facility: CPU HYDERABAD Qualification: 12th Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP567207

... Address: 1904 , 19th Floor , Parine Crecenzo Bldg, Near MCA Club , G Block , BKC , Mumbai - 400051 Facility: BHARTI AXA LIFE INSURANCE - FM MUMBAI Qualification: 8th Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP567046

... Address: Qualcomm India Private Limited SEZ 22nd, 21st, 20th, 19th and 18th Skyview 20 Building of M/s Divija Commercial Properties Pvt. Ltd IT/ITES SEZ at Raidurgam Village, Serilingampally Mandal, Ranga Reddy District.Hyderabad Facility: QUALCOMM HYDERABAD CMZ Qualification: Graduate Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP566726

... Address: C/O Dr. Reddy\'s Lab - CTO Unit 1 Plot No: 127, 138, 145 & 146 SV Cooperative Industrial Area, Bollaram, Jinnaram, Medak Dist - 502 325. TelanganaHyderabadTSINDIA500034 Facility: DR. REDDY'S LAB - CTO UNIT 1 Qualification: ITI Experience: 2 - 3 years Source: Sodexo India | Job Code: IJP567081

... Address: 10th Floor, Building 9, Tower B, DLF City, Gurgaon, Gurgaon, Haryana, 122002 Facility: MA-IN-GRN-CONTROLLABLE Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP567050

... Address: 1904 , 19th Floor , Parine Crecenzo Bldg, Near MCA Club , G Block , BKC , Mumbai - 400051 Facility: BHARTI AXA LIFE INSURANCE - FM MUMBAI Qualification: 8th Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP567047

... Address: 1904 , 19th Floor , Parine Crecenzo Bldg, Near MCA Club , G Block , BKC , Mumbai - 400051 Facility: BHARTI AXA LIFE INSURANCE - FM MUMBAI Qualification: Diploma Experience: 3 - 4 years Source: Sodexo India | Job Code: IJP567039

... Address: C/O Dr. Reddy\'s Lab - CTO Unit 1 Plot No: 127, 138, 145 & 146 SV Cooperative Industrial Area, Bollaram, Jinnaram, Medak Dist - 502 325. TelanganaHyderabadTSINDIA500034 Facility: DR. REDDY'S LAB - CTO UNIT 1 Qualification: ITI Experience: 2 - 3 years Source: Sodexo India | Job Code: IJP567080

At Bolna, we’re building tools that change the way teams leverage Voice AI. We’re looking for a Founding Machine Learning Engineer to own the end-to-end lifecycle of building, evaluating, deploying, and improving models that power millions of production conversations. This is a high-impact, high ownership role where you won’t just work on Bolna’s ML stack—you’ll help build the foundation it scales on. Our team includes IIT alumni with experience at Bain, Atlassian, Uber, Zomato, and LinkedIn, and is backed by leading investors. Responsibilities: Build the data engine - Design pipelines to source and clean conversational voice data across Indian languages, accents, and telephony conditions. Fine-tune models that ship - Fine tune and train models to improve accuracy, speed, and reliability across different use-cases. Define what "good" means - Build evaluation datasets and benchmarks for transcription accuracy, voice naturalness, interruption handling, latency, and end-to-end conversation quality. Set up human-in-the-loop pipelines to capture subjective quality at scale. Ship to production - Work with the engineering team to deploy models into a latency-sensitive, high-volume system. Monitor performance in the wild, debug regressions, and iterate fast. Required Skills: 3+ years of hands-on ML experience with deep practical real-world experience in training models. Strong Python and PyTorch fundamentals with exposure in distributed training, and modern fine-tuning techniques (LoRA, QLoRA, DPO, RLHF, etc.). Training data as a first-class problem. Experience designing data pipelines from collection, cleaning, labeling, deduplication, augmentation and treating data quality as a core engineering discipline. Rigorous about evaluation. You know that "looks good in a demo" is not a benchmark. You build the evals before you trust the model. Speech model experience is a plus with real-time / streaming inference experience where you would have contributed to latency optimization

About the Team OpenAI’s Enterprise Go-To-Market organization helps the world’s largest companies adopt and scale our AI platform across their business, from ChatGPT Enterprise to our developer platform and APIs. We partner with organizations across Financial Services, Life Sciences, and Retail to build new AI-powered customer experiences, transform operations, and reimagine how work gets done in highly regulated and technically complex environments. As adoption accelerates through pilots, experimentation, and developer-led use cases, the GTM team turns that momentum into durable, enterprise-wide deployments. Business Development sits at the front of this motion, where technical curiosity turns into executive engagement, and early product signals become enterprise-wide deployments. About the Role This role is designed as a launchpad for future sellers at OpenAI. This is a highly strategic role with significant exposure to enterprise sales, product, and customer strategy. You’ll develop core skills in discovery, stakeholder mapping, deal shaping, and executive communication while building a deep understanding of how leading companies adopt AI. We are looking for individuals with 4-6+ years of professional experience (with 2-3 years of those in a full 360 sales closing role) who are motivated to grow into world-class enterprise sellers over time. While many individuals in this role go on to become Account Directors or take on broader GTM roles, progression is based on performance and business needs rather than a fixed timeline. For the right person, this is one of the most accelerated paths to break into sales at OpenAI and build a long-term career in AI go-to-market. In this role, you will identify, shape, and advance complex enterprise opportunities by turning product usage, pilots, and inbound demand into qualified, high-conviction enterprise opportunities for our Large Enterprise and Strategic Accounts teams. This role is based in our Dublin, Ireland office. We use

About the Team OpenAI’s Enterprise Go-To-Market organization helps the world’s largest companies adopt and scale our AI platform across their business, from ChatGPT Enterprise to our developer platform and APIs. We partner with organizations across Financial Services, Life Sciences, and Retail to build new AI-powered customer experiences, transform operations, and reimagine how work gets done in highly regulated and technically complex environments. As adoption accelerates through pilots, experimentation, and developer-led use cases, the GTM team turns that momentum into durable, enterprise-wide deployments. Business Development sits at the front of this motion, where technical curiosity turns into executive engagement, and early product signals become enterprise-wide deployments. About the Role This role is designed as a launchpad for future sellers at OpenAI. This is a highly strategic role with significant exposure to enterprise sales, product, and customer strategy. You’ll develop core skills in discovery, stakeholder mapping, deal shaping, and executive communication while building a deep understanding of how leading companies adopt AI. We are looking for individuals with 4-6+ years of professional experience (2-3 of those in a full 360 closing role) who are motivated to grow into world-class enterprise sellers over time. While many individuals in this role go on to become Account Directors or take on broader GTM roles, progression is based on performance and business needs rather than a fixed timeline. For the right person, this is one of the most accelerated paths to break into sales at OpenAI and build a long-term career in AI go-to-market. In this role, you will identify, shape, and advance complex enterprise opportunities by turning product usage, pilots, and inbound demand into qualified, high-conviction enterprise opportunities for our Large Enterprise and Strategic Accounts teams. This role is based in our Dublin, Ireland office. We use a hybrid work mo

About the team The AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior. This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems. This role is based in Paris. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. We require fluency in French for this role. About the role We are seeking a technically proficient, product-minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI’s research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights - helping shape OpenAI's research and product direction. This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high-impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice. In this role, you will: Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement. Prototype and iterate on prompts, agents, and workflow designs to better unde