Job Description Summary GE Vernova’s Power Conversion & Storage business combines advanced energy conversion and storage systems to meet the electrification needs of utilities and industries. With a focus on power stability, energy storage and industrial electrification solutions, Power Conversion & Storage empowers customers by addressing their most complex electrification challenges and accelerating their transition to a sustainable, decarbonized future. The Field Service Engineer – Drives-Performs a wide range of commissioning and Service tasks and ensures proper installation, service and commissioning of products and services. Provides technical support for installation and commissioning of projects and provides maintenance, breakdown emergency support and remote troubleshooting for the GE LV and MV drives. Job Description Roles and Responsibilities: As Field Service Engineer - Drives and EMS, you will: - Perform troubleshooting activities at customer site locations to diagnose problems, determine appropriate resolution, and implements corrective actions - Develop requisite documentation to execute work e.g. commissioning procedures, maintenance procedures daily logs etc. - Perform installation and commissioning activities at customer site locations of GE Drives - Perform installation and commissioning activities at customer site locations of GE EMS System - Execute on site project management and technical leader duties to resolve customer issues and provide customer satisfaction - Under the direction of a senior engineer performs a wide range of technical tasks to ensure the technical integrity and proper installation and commissioning of GE drive systems - Develop presentations and provides training and instruction to customers on drive operations - Coordinate additional opportunities to serve the customer with the customer service team, parts, other FSE’s, repair services, sales, and product engineering teams - Advise the customer of recommended upgrades, parts, and service opportunities to improve customer productivity and sell GE parts and services - Coordinate maintenance activities for the customer and planning for inspections - Provide support to engineering teams working on customer CMU’s projects - Identify new opportunities & development of effective offerings to improve in-service equipment reliability / availability - Promote sales of maintenance services - Provide on call support in response to customer calls for service - Ensure appropriate response and service is provided to customer - Complete timely service reports and other administrative requirements - Support business growth opportunities and marketing campaigns - Other duties may be assigned by management to meet business needs Qualifications/Requirements: - Bachelor's Degree - Minimum 3 years of field service and/or commissioning experience - Must live in the USA Eligibility Requirements: - Ability and willingness to travel 85% of the time​ on short notice - Perform work on-board vessels within GE / Customer safety guidelines either in shipyards or offshore. - Extended hours / overtime maybe required during peak periods and emergency circumstances. - Domestic or overseas travel to customer sites for extended periods of time. - The work environment at onsite locations is of a construction type setting. Whilst performing the duties of this job, the employee is occasionally exposed to wet and/or humid conditions, moving mechanical parts, extreme cold, extreme heat, risk of electrical shock, risk of trips, slips and falls. The noise level on-site or on-board ships can be excessive, personal protective equipment (PPE) will be required. Desired Characteristics: - Ability to learn and follow defined departmental policies, procedures, and practices. - Ability to prioritize workload and organize work activities in order to meet business needs and department goals. - Experience on Energy Management system for Power plants - Strong verbal, written, and interpersonal communication skills essential. - Diploma or Bachelor's Degree in Electrical Engineering or related discipline from an accredited college or university (or Associate degree in Electrical Engineering or related discipline from an accredited college or minimum 5 additional years of related industry experience in drives ) - Minimum of 3 years of experience with GE Drive systems {With 2 years practicable working knowledge of at least one GE Power Conversion drive system (Including: MV7000, SD7000, MV3000, MD2000, LV7000) - Experience of working with LV/MV Drives ABB, Siemens, AB, Vacon and Schneider - Minimum of 2 years practicable working knowledge of at least one GE Power Conversion drive / system controller (Including PEC, PECe, CDC) - Ability to execute increasingly complicated assignments, which require considerable engineering skill and creative ability and independent judgment - Possess detailed knowledge, competence and expertise with installation and commissioning tasks and services - Strong computer proficiency and technical aptitude with the ability to utilize MS Office applications GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes #LI-Remote - This is a remote position For candidates applying to a U.S. based position, the pay range for this position is between $78,800.00 and $131,200.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on April 21, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

FEQ426R316 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major media agencies, ad tech, and Data/Identity companies are leveraging the Databricks Data Intelligence Platform to accelerate their data-driven strategies. Our team is hiring a dynamic Solution Architecture (SA) leader who intimately understands the Agencies ecosystem and how a modern data architecture is critical to advancing their Data & AI initiatives. Additionally, this SA leader will inspire their team of Solution Architects by translating their team's vision into a tangible and effective strategy in order to drive our customers’ data and AI experiences forward. The Sr. Manager, Solutions Architecture, will help lead a team of SAs within Databricks’ Field Engineering team's Agency segment. Reporting to the Director, Field Engineering, you will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, and data science. Leading the technical split-focused team (pre-sales, technical acumen, demonstrations), you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that operates efficiently to accelerate Databricks' market growth. The Agencies vertical sits at the intersection of data, AI, and advertising. You'll lead a team that works with some of the most data-intensive companies in the world, holding companies managing billions in media spend and influencing the broader buy and sell side ecosystem. The Impact You Will Have - You will hire, train, grow, and manage a team of Solutions Architects for a company in high-growth mode. - Make your customers in the Agencies segment successful with Databricks and provide outsized value to their businesses. - You will maintain a robust hiring pipeline at all times. - Establish relationships across the business to make your customers and team successful. - Partner with sales leadership to hit sales and consumption targets and ensure customer success - Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining advanced knowledge of the technology stack, while tying it back to key initiatives and trends across the Media Advertising industry. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs What We Look For - 7+ years of professional experience in the data space with a technical product (i.e. data warehousing, big data, or machine learning). - 3+ years of first-line management experience leading technical pre-sales or solutions architecture teams — including hiring, onboarding, coaching, performance management, and career development. - Understanding of the advertising and media agency ecosystem — how holdcos are structured, how data flows between brands, agencies, publishers, and ad tech platforms. - 3+ years of experience building and leading technical pre-sales teams - hiring, on-boarding, and enabling pre(and post)-sales professionals. - A deep technical understanding of the impact that Data & AI can drive within the Media and Entertainment industry, with a specific focus on the Media Agency Ecosystem. - Trusted advisor to technical executives who guide strategic data infrastructure decisions. - Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations. - Experience hiring candidates, ramping them up to be successful, and promoting them into larger roles. - Build team morale and foster working relationships among Field Engineering, Sales, and other key internal partners. - Experience working with teams across Sales, Product Management, Engineering, and Customer Success. - Must be technical enough to earn the trust of Engineering talent and leadership at Databricks. - Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers toward ideal solutions - that scale. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $192,100—$264,175 USD Zone 2 Pay Range $192,100—$264,100 USD Zone 3 Pay Range $192,100—$264,100 USD Zone 4 Pay Range $192,100—$264,100 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Lead MLOps Engineer Location: Bangladesh, South Asia (Remote) Department: Software Engineering ABOUT NEXGEN CLOUD: NexGen Cloud is the company behind Hyperstack, a full-stack AI cloud serving tens of thousands of customers from AI researchers to enterprises running the world's most compute-intensive workloads. We deliver on-demand and private GPU infrastructure to teams who treat performance as a requirement, not a feature. We're a tight-knit, fast-moving team working at the cutting edge of AI cloud infrastructure. We practice what we preach, equipping our people with AI at every level so we can solve harder problems, ship faster, and keep raising the bar for what enterprise GPU infrastructure looks like. THE ROLE: Lead MLOps Engineer This role exists because Hyperstack is scaling its AI cloud platform and building out the infrastructure that powers production ML workloads for thousands of customers. As AI Studio capabilities grow and the platform takes on increasingly complex training, fine-tuning, and inference workloads, we need someone to own the MLOps layer — the systems, tooling, and practices that make large-scale AI workloads reliable, observable, and repeatable in production. You’ll have direct ownership over ML platform reliability, deployment workflow engineering, and the operational standards that underpin how AI workloads run on Hyperstack — end to end. Role positioning: This is a lead individual contributor role. You’ll set the technical direction for MLOps on the platform, work directly with Product and Engineering, and take end-to-end ownership of the systems that make AI workloads run in production. No hand-holding, lots of impact. WHAT YOU’LL BE DOING Rather than a long checklist, here’s what success in this role looks like: - Own the design, implementation, and evolution of core MLOps systems across Hyperstack — including the infrastructure and workflows that underpin AI Studio - Build and improve systems that orchestrate model training, fine-tuning, evaluation, and deployment — engineered for long-running, resource-intensive, GPU workloads - Own production readiness across ML infrastructure — monitoring, alerting, incident response, and continuous improvement based on real-world usage - Define and embed strong MLOps practices across teams — model versioning, reproducibility, deployment safety, rollback strategies, and environment management - Provide technical leadership through architecture decisions, implementation guidance, and shared standards — working closely with Product, Engineering, and cross-functional teams ABOUT YOU: We’re more interested in how you think and work than in a perfect CV. You’ll likely bring a combination of the following: Essential - Proven experience designing, building, and operating production ML infrastructure, platform systems, or MLOps workflows in cloud environments - Hands-on Python development skills, with experience building backend systems, automation, and developer or platform tooling - Experience supporting LLM, generative AI, or fine-tuning workflows in production — including training, evaluation, deployment, inference, and lifecycle management - Production-grade experience with Docker, Kubernetes, CI/CD, and infrastructure-as-code in real, operational environments - Experience owning complex, asynchronous, or resource-intensive workloads end to end — including orchestration, reliability, observability, and incident response - Ability to work cross-functionally and provide technical leadership through influence — shaping standards, direction, and ways of working across engineering teams Nice to Have - Exposure to GPU-intensive, distributed, or performance-sensitive ML workloads - Experience building internal developer platforms or tooling that improve experimentation, reproducibility, and delivery speed for ML teams - Background in cloud infrastructure, platform products, or technically complex B2B software WHAT WE OFFER - Competitive salary and annual discretionary bonus scheme - Employee wellbeing benefits - 25 days of holiday, plus public holidays - Flexible working arrangements (remote or hybrid, depending on role and location) - Real ownership and autonomy, with the trust to take initiative and experiment - The opportunity to make a visible, meaningful impact as we scale - Clear career progression and growth opportunities in a fast-growing company - A collaborative, international culture built on trust, transparency, and ownership - The chance to help shape NexGen Cloud’s team, culture, and future alongside ambitious, mission-driven colleagues MORE INFORMATION Head over to our NexGen Cloud careers page to view current opening and follow us on LinkedIn and X to learn more about our journey, newest releases and hear exciting news in the neocloud space.

Job Description Agilent inspires and supports discoveries that advance the quality of life. We provide life science, diagnostic and applied market laboratories worldwide with instruments, services, consumables, applications and expertise. Agilent enables customers to gain the answers and insights they seek -- so they can do what they do best: improve the world around us. Information about Agilent is available at www.agilent.com. Candidate must reside in central New Jersey. As part of our diverse and expert team you will be responsible for supporting our customers with on-site service in the following areas: - Install and optimize hardware/software/network products and configurations at customer sites - Diagnose and resolve product performance problems - Perform maintenance and repairs - Ensure customer happiness by advising customers on preventive maintenance and configurations, which may impact product performance - Leverage shown experience to provided limited application support - Proactively responds to potential equipment issues to prevent unplanned interruption of customers business - Deliver fully coordinated solutions, which may include peripherals, communications, operating systems and applications software - Train other field engineers and customers in the solutions - Serve as an internal resource on technical issues and leads product customer concerns Collaborates with Agilent teams such as Support, Sales, Marketing and R&D to provide solutions to customers - May have knowledge of third-party products - May deliver internal technical training and maintenance seminars and workshops for field engineers or customers - May calibrate equipment - May qualify leads Must consent to participate and meet Agilent approved customer/vendor credentialing requirements necessary to gain access to customer sites. Requirements may include, but are not limited to, proof of identification, proof of certification to perform the work required, customer health and safety requirements, etc. Qualifications - Bachelors, master's or other university degree in chemistry, biochemistry, analytical chemistry or other life science field preferred; may consider a candidate with equivalent combination of education, training and significant experience - 4+ years relevant work experience including familiarity with Agilent LC, LC-MS, GC, and GC-MS experience is a plus. - Experience with Pharma, Biotechnology, GMP and GLP environments - Experience with the Agilent solutions is desired but not crucial - Familiarity with other OEM and mass spectroscopy equipment highly preferred - Familiar with use of hand tools - Demonstration of logical troubleshooting - Ability to tackle high impact problems related to product availability; typically, system/ solution focused - Customer service and solutions oriented - Ability to travel extensively including overnight travel as decided by business needs - A valid driver's license is required for this position - Up to 75% travel may be required Additional Details This job has a full time weekly schedule. It includes the option to work remotely. Applications for this job will be accepted until at least April 28, 2026 or until the job is no longer posted. In the US, this position is eligible for choice of company car or reimbursement for personal vehicle usage. The full-time equivalent pay range for this position is $46.13 - $72.08/hr plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locations Agilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email job_posting@agilent.com or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility. Travel Required: 75% of the Time Shift: Day Duration: No End Date Job Function: Services & Support