Deployment Strategist Lead Jobs

About the Team The Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models and their deployment in the real world. Learn more about OpenAI’s approach to safety. Building on the many years of our practical alignment work and applied safety efforts, Safety Systems addresses emerging safety issues and develops new fundamental solutions to enable the safe deployment of our most advanced models and future AGI, to make AI that is beneficial and trustworthy. About the Role At OpenAI, we're dedicated to advancing artificial intelligence, and we know that creating a secure and reliable platform is vital to our mission. That's why we're seeking a software engineer to help us build out our trust and safety capabilities. In this role, you'll work with our entire engineering team to design and implement systems that detect and prevent abuse, promote user safety, and reduce risk across our platform. You'll be at the forefront of our efforts to ensure that the immense potential of AI is harnessed in a responsible and sustainable manner. Your Responsibilities: Architect, build, and maintain anti-abuse and content moderation infrastructure designed to protect us and end users from unwanted behavior. Work closely with our other engineers and researchers to utilize both industry standard and novel AI techniques to measure, monitor and improve AI models’ alignment to human values. . Diagnose and remediate active incidents on the platform and build new tooling and infrastructure that address the root causes of system failure. You might thrive in this role if: You have built and run production services in a high growth, rapidly scaling environment. You can debug live issues and restore systems quickly. You have worked on content safety, fraud, or abuse, or are motivated and excited to work on present-day (“now-term”) AI safety. You have experience with Python or with modern languages such as C++, Rust, or Go, and are able to quickly ramp up on Py

About the Team OpenAI’s AI Success Engineer team partners with the world’s most ambitious government & partner organizations to translate cutting edge AI into real business and mission impact for governments of all levels from Local, State, Federal, and International. We guide customers and users journey from the first time they try ChatGPT Enterprise, automate a workflow, develop and execute a new skill, and create their first agent to scaled enterprise adoption of ChatGPT, Codex, our API and other novel capabilities. Our work spans technical integration and enablement, workflow transformation, inspiring and upskilling AI literacy and confidence across the workforce, sustained program, product and new capability delivery. Most importantly, we help each member of our customer's workforce, their teams, programs and missions meet their total potential. Our government customers have vital missions, and we must meet them with game-changing technology. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the center of that mission. About the Role Governments work at a scale that is truly exponential on missions that are of critical importance to people, communities and nations. The AI Success Engineer role is the primary post-sales relationship for OpenAI’s most important customers. You are responsible for the end-to-end account management of critical Government and Partner customers. You will be helping Government Leaders/Partners appropriately and effectively use AI for their mission, while simultaneously investing in ensuring their people are AI-enabled and ready to advance positive outcomes that their constituents depend on them for. You will drive: the impact of our tools on their mission, account health and adoption, ensuring technical readiness, creating and executing on the deployment strategy, enabling, educating and training their workforce, identifying new use cases and upsell opportunities, and d

About the Team The Scaling team is responsible for the architectural and engineering backbone of OpenAI’s infrastructure. We design and deliver advanced systems that support the deployment and operation of cutting-edge AI models. Our work spans system software, networking, platform architecture, fleet-level monitoring, and performance optimization. About the Role We’re hiring an SW Engineer to enable production workloads and end-to-end testing on new platforms. This role will include creating new test harnesses and platform stress benchmarks, porting existing inference and training workloads to new, sometimes early-access, systems/hardware, analyzing performance and bottlenecks, and characterizing the end-to-end behavior of new systems (compute, comms, storage, control plane, and failure modes). Key Responsibilities Port and validate key inference and training workloads on new platforms/SKUs as they arrive; drive correctness, performance, and stability to an internal readiness bar. Build a suite of benchmarks and stress tests that capture real E2E behavior of our workloads by exercising all aspects of a system, including CPU, GPU, memory subsystem, frontend, scale-up, and scale-out networking (including WAN traffic, NVlink and RDMA collectives), storage, thermals, and any other relevant parts. Deep-dive performance on distributed training/inference: Collective performance and tuning (across NCCL/RCCL and internal libraries) Overlap of compute/communication, kernel-level bottlenecks, memory bandwidth and scheduling effects Create repeatable test harnesses that run in CI / lab environments and produce actionable outputs (pass/fail, performance score, regression detection). Partner with systems + fleet bring-up engineers to ensure the platform is not only stable and performant, but also operationally usable and scalable (containerization, K8s integration, telemetry hooks, failure triage loops). Work cross-functionally with vendors and internal stakeholders by producing

About the Role The Automation Engineer will lead the design, evaluation, and deployment of advanced automation solutions across the logistics network. This role focuses on improving system reliability, reducing operational costs, and extending machine longevity while driving innovation in sorting, material handling, and warehouse automation.

Enhance your software development process with professional CI/CD Pipeline Services that automate code integration, testing, and deployment. Streamline DevOps workflows, reduce manual errors, and deliver high-quality applications faster. Improve collaboration, boost productivity, and achieve reliable, secure, and scalable software releases with customized CI/CD solutions for modern businesses. Address: - ITHUM Tower, Sector 62, Noida Phone number:- +91 8382957938 Email us:- [email protected]/ Website:-https://www.idefender.io/

The Research Engineer – Mechatronics is a hands-on engineering role within the TaylorMade Research & Development team, focused on the design, prototyping, integration, and validation of electromechanical systems that advance golf equipment and player performance. This role demands deep practical expertise in mechatronics, sensor systems, electronic hardware, wiring, and embedded controls, combined with the ability to develop supporting software and user-facing tools. The ideal candidate is a builder and problem-solver who thrives in a laboratory and prototype environment, producing functional systems from concept through deployment. Essential Functions and Key Responsibilities: Design, prototype, wire, assemble, and test mechatronic and electromechanical systems used in golf equipment evaluation, performance measurement, and product development Develop and interpret wiring diagrams, schematics, and electrical specifications for custom hardware assemblies, test rigs, and IoT-connected devices Select, integrate, and characterize sensors (IMUs, load cells, encoders, pressure sensors, optical sensors, etc.) – including defining operating limits, calibration procedures, and signal conditioning requirements Design and implement IoT systems and wireless data acquisition platforms that capture real-time performance data from equipment and players Develop embedded firmware and control software for microcontrollers and microprocessors (e.g., Arduino, Raspberry Pi, STM32 or similar) to drive test automation and data capture systems Write clean, maintainable code to interface with hardware, process sensor data, and build internal and user-facing applications and interfaces; leverage AI-assisted development tools to accelerate prototyping and automate test routines; apply basic computer vision techni

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Job Description Serves as a Technical Digital Product Implementation Manager for Aetna Health Customizations supporting plan sponsors and Book of Business products. Candidate will lead and oversee the deployment and integration of advanced digital technologies, including SSO, API, and content management systems. Role requires autonomously driving successful implementation while managing multiple deliveries and collaborating with several business partners. This position requires strong communication, project management, and technical skills combined with healthcare industry knowledge to implement digital enhancements that improve the member experience, create operational efficiency, and ensure compliance with industry regulations. Key Responsibilities: Independently lead the end-to-end implementation of digital technology solutions, including SSO and API integrations, in conjunction with internal and external partners. Own all portions of project delivery, including; requirement gathering, project documentation, facilitation and collaboration efforts with all impacted parties, testing, release, and support. Collaborate with business stakeholders to understand their needs, define project scope, and ensure alignment with organizational goals. Communicate project progress, risks, and/or blockers, to progress project and show transparency in approac

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Job Description The Digital Product Implementation Manager supports Aetna Health customizations and leads the definition, deployment and integration of advanced digital capabilities across Aetna’s customers. This role independently drives successful implementations while managing multiple deliveries, collaborating with a range of business partners, and working directly with customers throughout the implementation process. You will sit at the intersection of the Technology team, the Business, and the Customer to ensure we are building best-in-class digital experiences for our members and clients. As an enthusiastic, self-led professional, you will leverage your passion for doing what’s right for our members to deliver the right solutions to meet business and market needs. You have superior program management and communication skills, strong attention to detail and are able to manage multiple priorities at once. You thrive on collaboration and working across teams. You are a self-starter who can expertly navigate complex organizations. You have a digital-first, data-driven mindset. You are quick to adapt to business and customer needs to deliver digital enhancements that improve the member experience, create operational efficiency, and ensure compliance with industry regulations. Key Responsibilities Independently lead the end-to-end customer implementation

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Job Description/ Responsibilities: Designing, developing and maintaining stable and reliable AI/ML Ops platforms / pipelines Minimum experience of 4-6 Years required in AI ML Ops Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable Resource Optimization: Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users Collaboration: Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production. Version Control & Governance: Manage versioning for data, code, and models using tools like MLflow. Security & Compliance: Implementing data security measures, ensuring compliance with data governance

Trading Application Support Specialist – Dubai – w/m Horizon Trading Solutions is an independent global technology company focused on electronic trading, supporting agency and principal business goals across equities and derivatives. For over 20 years we’ve equipped the most progressive global capital market players with powerful algorithmic technology and direct connectivity to more than 80 exchanges worldwide. Our single multi-asset platform and our unfaltering commitment to client partnership allow us to promise Performance Simplified: making it easy to be the best in trading. We are currently looking for a Trading Application Support Specialist (W/M), based in Dubai for a Full Time Position and Permanent Contract, to successfully ensure the deployment of our solutions to our clients (brokers, investment banks, stock exchanges...) and be their primary point of contact for technical support. If you join us, you will: Issue Analysis and Resolution: Analyse and troubleshoot issues or incidents, aiding customers in resolving issues, explaining usage, debugging failures, pinpointing problems, implementing workarounds, enhancing performance, improving security, and determining root causes. Define the severity and area of each issue, ensuring accurate classification and prioritization. Resolve tickets according to the required knowledge, adhering to the proper process, and escalate when necessary for timely resolution. Customer Communication and Support: Serve as the primary point of contact for customers, addressing their requests through resolution or escalation. Keep customers updated on the progress of their ticket resolution, providing clear communication regarding steps and timing. Write comprehensive documentation on current issues for customers to enhance their knowledge and understanding (KDB). Deployment and Training: Deploy products at customer sites, ensuring seamless integration and functionality. Provide training sessions to clients, i

End to end responsible for: • arranging and optimizing funding to ensure projects and business have timely liquidity at lowest sustainable cost. • managing banking relationships, facilities, drawdowns and covenant reporting with strong end-use governance. • rolling cashflow forecasting, working capital discipline and treasury operations (BG/LC, payments, surplus deployment). • coordinating funding readiness with CFO and business teams for predictable execution. Source: Adani Group | Job ID: 59135

Should be innovative and should be able to give new ideas Should have good negotiation skills with vendors Ability to lead the team Should be able to quickly mobilize resources to meet the demands Should be able to coordinate with the site authorities for site related matters Reporting to the F.M on daily and weekly basis Conducting compliance audits and ISO audits on behalf of clients. Able to lead guide and motivate for Entry level & Middle level staff. Maintaining relationship with quality vendors that they are reliable and cost effective. Make Daily Reports of Deployment Log book Inventory etc.. Handling employee s queries and resolving them in a professional manner. Ensure all operational and safety procedures are properly followed. Inspect staff work performance. Demonstrate leadership and training to staff. Communicate effectively to staff. Qualification Should be having an experience of 1 4years with Facility Management background. Should possess an eye for detail The person needs to have good communication skills experience in working with diverse set of employees having the ability to navigate in unknown circumstances and situations and needs to connect well with the employees. A person who is capable of taking initiative when needed Address: Nahars Amrit Shakti Road, Chandivali Farm Road, off, Saki Vihar Rd, Andheri East, Mumbai, Maharashtra Facility: NAHAR INTERNATIONAL SCHOOL Qualification: 12th Experience: 1 - 5 years Source: Sodexo India | Job Code: IJP576081

Enterprise Advanced is a distributed team across Europe and India that builds the software running MongoDB on any infrastructure, at global scale — from on-prem data centers to private cloud. You'll work primarily on Ops Manager and Automation, the systems that let customers deploy fault-tolerant, globally distributed MongoDB clusters in minutes. Our software manages some of the largest self-managed MongoDB deployments in the world, with production clusters running hundreds of shards and nodes under a single deployment. The main focus of this team is to adapt our software to manage MongoDB clusters which are deployed in data centers or private cloud platforms. You will work on the core functionality for all of our products, mainly on the Ops Manager , and Automation products. Our team's end users are some of the largest businesses in the world, deploying massive clusters and processing huge amounts of data. This role is based in our Gurgaon office, and can work in a hybrid fashion. This role will report to the Senior Engineering Manager also based in our Gurgaon office. What you’ll do Design, implement, test, and release features for Ops Manager Own end-to-end delivery of complex projects, from design through incremental shipping Troubleshoot and resolve issues surfaced in customer deployments running at scale Apply engineering judgment and MongoDB's core values across planning, design, and code review A great fit for this role will be You enjoy distributed-systems problems; consistency, fault tolerance, and scale are the daily reality, not edge cases People who like ambiguity and are comfortable defining their own approach with guidance, not step-by-step instruction You're flexible! You're willing to take on a wide variety of responsibilities, learning as you go You're a self-starter! You're comfortable organizing your own time, acting on feedback and prioritizing with guidance from senior members of your team Requirements 4+ years experience with a language

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for a Rack Power Engineer with deep expertise in high-power conversion and distribution to design, qualify, and support power systems for AI supercomputers. You will own rack power solutions—including power shelves, AC/DC rectifiers, power supply units (PSUs), power management controllers (PMCs), and high-current distribution—from requirements and supplier development through deployment. You will also monitor fleet rack power health, lead debugging and root-cause investigations, and drive improvements into hardware, firmware, and qualification coverage. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Own rack power architecture and requirements for high-power AI supercomputing systems, including power budgets, AC input interfaces, DC distribution, redundancy, efficiency, serviceability, and integration with data center infrastructure. Drive the design and supplier development of power shelves, rectifiers, PSUs, PMCs, busbars, connectors, and protection circuits. Review electrical designs and control behavior, and evaluate performance, cost, reliability, and availability trade-offs. Define and execute component, shelf, and rack qualification plans covering load transients, current sharing, hot-swap, startup and shutdown, redundancy failover, fault protection and recovery, thermal limits, and AC disturbances and ride-through

Senior Ground-based Midcourse Defense (GMD) Maintenance Operations Center (GMOC) Controller Company: Boeing Aerospace Operations Boeing Global Services (BGS) is seeking a Senior Ground-based Midcourse Defense (GMD) Maintenance Operations Center (GMOC) Controller located at the Missile Defense Integration and Operation Center (MDIOC) at Schriever Space Force Base, Colorado. Must be willing to work variable shifts, including weekends and overtime. Some positions may also be rotating shifts. You are applying for a Field Operations position where our employees must be willing and able (potentially short notice) to travel to a variety of locations (domestic and/or international) to meet our customers’ unique requirements. Field Operations employees may be required to relocate to another Field Operations location based on customer and/or management requirements. Specific contracts supported by Field Operations could require employees to perform a deployment to a US DOD contingency operation. Employees associated with these specific contracts must be able to pass military contractor health standards for deployment. Position Responsibilities: The position frequently uses and applies operational concept analysis standards, principles, theories, concepts, and techniques Crew Lead that research, analyze, and compile complex technical data for the GMD program in the operational and test environments to optimize effectiveness over the program lifecycle Maintain configuration control of the GMD System 24/7/365 days a year supporting the Missile Defense Agency and warfighter community Perform asset management functio