ML Engineer Level II Jobs in Noida

Senior Machine Learning Engineer II Location: Noida, Uttar Pradesh, India Employment Type: Full-Time About Adobe Adobe is revolutionizing the way the world creates and communicates. From individuals to global enterprises, our tools empower people to design and deliver stunning digital experiences. We re driven by creativity, fueled by innovation, and committed to creating an inclusive culture where every employee has access to equal opportunity and respect. About the Team The Adobe Express team is building a transformative all-in-one creative application for web, desktop, and mobile platforms. By combining Adobe s core creative technologies with intelligent, AI-enhanced workflows, Adobe Express empowers anyone from casual creators to professionals to create standout content quickly and effortlessly. The Opportunity We are seeking a highly experienced and visionary Senior Machine Learning Engineer II to develop next-gen AI-powered features focused on image editing, generative AI, and multimodal creative experiences within Adobe Express. You will drive cutting-edge ML and AI workflows, including personalized assistants, intelligent editing tools, and LLM-integrated creative workflows. Experience Requirements 12+ years of hands-on experience in machine learning, computer vision, NLP, or related domains. Track record of delivering production-grade ML models and scalable AI systems. Experience with LLMs, agent-based systems, and generative AI models is strongly preferred. Responsibilities Design, develop, and deploy scalable ML pipelines across the entire lifecycle training, inference, and optimization. Build generative AI features and intelligent assistants for Adobe Express, particularly in the image editing domain. Integrate Large Language Models (LLMs) and AI agents to support dynamic and multimodal creative workflows. Collaborate across product, design, and engineering to translate user needs into AI-powered features. Architect sub-agent frameworks to modularize tasks such as content generation, smart editing, and design assistance. Contribute to experimentation infrastructure, including A/B testing, performance tracking, and continuous learning. Stay current on research in generative AI, federated learning, and optimization techniques for low-latency inference. Champion AI-first practices and mentor peers to foster a culture of experimentation, learning, and innovation. Required Skills Programming: Proficient in Python (for model development) and C++ (for performance-sensitive systems). Frameworks: Deep experience with TensorFlow, PyTorch, and modern GenAI toolkits. AI Expertise: Practical experience with LLMs, computer vision, NLP, multimodal models, and agent-based design. Systems: Proven ability to build ML pipelines at scale both in cloud and on-device environments. Preferred Qualifications Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. Published research or patents in AI/ML, especially in generative modeling or AI-assisted creativity. Experience with federated learning, RAG (retrieval-augmented generation), and real-time inference optimization. Lead the development of creative AI technologies that impact millions of users globally. Work in a collaborative, inclusive, and high-performing team culture. Access world-class learning, research, and innovation resources. Enjoy excellent employee benefits, flexibility, and career growth opportunities. Adobe is proud to be an Equal Opportunity Employer. We believe that diversity makes us stronger and we encourage all qualified individuals to apply. Qualification : Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field.

AI/ML Engineer Noida 2+ Years Experience Full-Time Location: Noida Experience Level: Minimum 2 years Employment Type: Full-Time Open Positions: 2 Job Overview: We are seeking a highly skilled and motivated AI/ML Engineer to join our dynamic technology team in Noida or Indore. If you have a passion for artificial intelligence, deep learning, and machine learning systems, and are excited to work on cutting-edge projects, we want to hear from you. Key Responsibilities: Develop and implement end-to-end machine learning solutions, including proof of concepts (POCs). Design, build, train, and optimize machine learning models for various business use cases. Research and evaluate the latest ML algorithms, frameworks, and tools. Work closely with software engineering teams to deploy AI models in production environments. Required Qualifications and Skills: Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. At least 2 years of hands-on experience in machine learning or data science roles. Strong programming skills in Python, with experience in libraries like TensorFlow, PyTorch, or similar ML frameworks. Proficiency with cloud-based AI platforms (such as AWS SageMaker, Google AI, or Azure ML). Familiarity with Docker, Kubernetes, and modern deployment pipelines. Opportunity to work on impactful, large-scale AI/ML projects. Flexible work locations Noida or Indore. Collaborative work culture with growth and learning opportunities. Apply now and shape the future with intelligent technology. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Data Engineer Location: Noida Experience: 2 5 Years Employment Type: Full Time About Times Internet Times Internet is India s largest digital products company, building premium digital platforms across diverse sectors like News, Sports, Fintech, and Enterprise Solutions. Our brands such as TOI, ET, Cricbuzz, Times Prime, Willow TV, and Whatshot reach millions and are designed to simplify and enrich everyday experiences. We take pride in fostering an inclusive, innovative workplace. As an equal opportunity employer, we ve maintained gender pay parity (independently verified by Aon Hewitt) and are committed to building a diverse and equitable team. About the Business Unit ET B2B The Economic Times B2B Verticals (ETB2B) is a leading business media platform, delivering insightful content, newsletters, and premium conferences across 23+ sectors including Auto, Energy, Pharma, Retail, and HR. With a monthly reach of over 8 million professionals, ETB2B powers business decision-making and industry learning through platforms like ET Masterclass, vConfex, and the ET B2B Intent Signal Platform a cutting-edge initiative leveraging behavioral data, enrichment tools, and event-driven insights. Role Overview As a Data Engineer, you will work on building scalable data pipelines, deploying machine learning models, and extracting actionable buyer intent signals using a variety of data sources and advanced ML/NLP techniques. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines to process large-scale structured and unstructured data (web behavior, CRM, third-party APIs, etc.). Build predictive models to extract buyer intent signals, leveraging NLP, behavioral analytics, and pattern recognition. Use modern ML and NLP tools: spaCy, Transformers, Scikit-learn, TensorFlow, PyTorch, and OpenAI APIs. Collaborate with product managers, backend engineers, and data scientists to deploy models into production and optimize performance. Ensure data pipeline reliability, compliance (GDPR, SOC 2), and freshness through robust monitoring and alerting systems. Enhance pipeline and model inference efficiency for near real-time scoring applications. Document workflows, model performance, and pipeline architecture for internal transparency and reproducibility. Required Skills & Qualifications Strong experience in Python for data engineering, ML pipelines, and model integration. Proficiency with ETL tools (Airflow, Prefect), data processing frameworks (Pandas, Dask), and workflow orchestration. Knowledge of machine learning and NLP techniques (entity extraction, sentiment analysis, text classification). Familiarity with ML model deployment via Docker, Kubernetes, and cloud ML services (AWS SageMaker, GCP AI Platform, Azure ML). Experience with relational databases (PostgreSQL, MySQL) and cloud data warehouses (BigQuery, Redshift, Snowflake). Strong grasp of version control (Git), CI/CD pipelines, and agile collaboration tools. Ability to interpret, visualize, and communicate model insights effectively working alongside analysts or through dashboards. Education & Experience Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related technical field. 2 5 years of hands-on experience in data engineering, applied ML, or software development, ideally in SaaS, Martech, or B2B analytics domains. Be part of India s largest digital ecosystem. Work on impactful, high-scale products with real-world value. Collaborate with top minds in data, AI, and product development. Enjoy a culture of innovation, inclusion, and continuous growth. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related technical field

Role Overview: As a Development Engineer in Adobe's AI Platform team, you'll play a pivotal role in the development, operations, and support of cutting-edge AI and ML solutions. You will be responsible for building new features, maintaining existing ones, and ensuring the successful delivery of high-quality, scalable software. The role requires expertise in Golang/Python, Kubernetes, and cloud platforms, as well as experience in machine learning (ML) solutions and workflow orchestration. Key Responsibilities: Product Development: Hands-on product development and solution implementation. Develop new features and maintain existing ones, from concept to deployment. Responsible for the full development lifecycle, including planning, design, coding, debugging, testing, and deployment. Analyze and implement high-quality software solutions using Golang/Python. Project Planning and Risk Analysis: Plan, estimate, and evaluate project efforts and associated risks. Drive the design and implementation of new layers, solutions, workflows, and features. Optimize solutions for frugality without compromising stability or resiliency. Cloud Infrastructure & ML Solutions: Design, develop, and optimize cloud-scale products and services. Build, deploy, and manage infrastructure in public cloud environments, particularly AWS. Develop solutions using the latest machine learning tools like PyTorch. Collaboration and Optimization: Collaborate with cross-functional teams to ensure the successful deployment and scalability of products. Continuously optimize the solution for performance, scalability, and cost-efficiency. Required Qualifications: Education: Bachelor s or Master s degree in Engineering or a related field. Experience: 9-12 years of relevant industry experience, particularly in cloud-based software development. Proven expertise in building large-scale platforms using Kubernetes. Strong programming skills in Python and Go. Experience with ML development tools, especially PyTorch. Experience in deploying and managing cloud infrastructure, particularly in AWS. Skills: In-depth knowledge of cloud platforms, container runtimes, and Kubernetes. Ability to work with large data-driven products and services used by a wide customer base. Strong problem-solving and debugging skills. Equal Opportunity Statement: Adobe is an Equal Employment Opportunity and affirmative action employer, ensuring all individuals are treated equally without discrimination based on gender, race, age, disability, religion, sexual orientation, or any other protected status. Qualification : Bachelors / Masters degree in engineering.

Position Summary The Risk Officer for the Global Service Delivery ( GSD ) centre of Allianz Partners will report directly to theGlobal Qualitative Head of Risk of Allianz Partners. The GDSs are fully fledged share services centers serving worldwide operations of Allianz Partners. Allianz Partners provides globally diverse expertise in automotive, international health & life, travel insurance, assistance and direct sales and is at the forefront of the Allianz B2B2C offering. The Risk Officer will have responsibility for the GSDs located in India, Thailand, Mexico and Brazil. They will be responsible for ensuring effective and efficient risk management processes and procedures are implemented and maintained in accordance with the Allianz Partners Global risk management framework as well as regulations in force. They will collaborate closely with first and second line of defense leaders within the GSD or across the company (as required) to ensure timely and transparent identification, assessment and mitigation of risks in the GSD as well as to ensure that the internal control system is effectively integrated within their areas of responsibility. They will provide support for internal control programs and projects designed to identify and manage significant risks related between others to: Operations, Information Technology, Legal, Regulatory and Compliance. The Risk Officer will also contribute to the Allianz Partners Global Risk Programs and, depending on the topic or seniority level of the Risk Officer, lead some of the CoCs. Responsibilities Oversee, coordinate and lead Risk management topics for the GSD, including topics across global locations as required Act as Single Point of Contact for Risk topics within the GSD Develop and maintain a good understanding of the GSD business and liaise closely with management Work with the business and provide risk expertise and consulting for projects and initiatives Support the management, monitoring and reporting business operations risks Conduct risk assessments to determine impacts of risk issues and facilitate appropriate escalation and implementation of the decisions Provide feedback to inquiries relating to risk monitoring actions Support and provide advice during decision-making processes Monitor news around market and evaluate current and potential risk exposure Identification of changing regulations and industry risk trends that may have an enterprise-wide impact Monitor the implementation and effectiveness of risk management activities Participate in the organisation, as well as lead and present topics in the relevant Risk Committee and other meetings as required Facilitate the Risk management process and provision of Risk management delivery support (this includes among others, the Top Risk Assessment and Internal Control Framework) Coordinate the effective implementation and maintaining of a network of Risk and Internal Control coordinators as well as the provision of risk training to the wider business. Promote a positive Risk Culture within the business Stakeholder Engagement Responsibilities: Practice and encourage open and effective communication internally and externally in order to build and nurture effective working relationships Lead an engaged internal control community to build strong partnerships with the business to ensure internal control processes are aligned with business needs and integrated within the organization. Develop and maintain effective working relations with internal and external parties, including but not limited to Top Management, extensive cross-functional interfaces and auditors to ensure the Internal Control Framework remains relevant and effective and provides adequate assurance. Manage and participate in the business meetings initiative with a focus on full coverage across all functions promoting the strategic business partnering ambition of the Risk function Seniority levels: Risk Officer: experience in Risk Management or relevant functions in insurance or services business and Risk Management Skills at ambition for seniority level Qualifications and Experience Required Bachelor s degree in business, finance or related field or equivalent combination of work and education experience. Risk Management or internal control accreditation or Accounting or Auditing qualification Understanding and knowledge of best practices and trends in Enterprise Risk Management and internal control frameworks. Relevant quantitative, Solvency II experience Strong IT user skills, very good user knowledge of Microsoft (Excel, Word, PowerPoint) Fluency in English Risk Management Skills at ambition level GSD Risk Officer in Global Qualitative Risk Management team The Risk Officer for the Global Service Delivery ( GSD ) centre of Allianz Partners will report directly to the Global Qualitative Head of Risk of Allianz Partners.The GDSs are fully fledged share services centers serving worldwide operations of Allianz Partners. Allianz Partners provides globally diverse expertise in automotive, international health & life, travel insurance, assistance and direct sales and is at the forefront of the Allianz B2B2C offering.The Risk Officer will have responsibility for the GSDs located in India, Thailand or Mexico and they will be responsible for ensuring effective and efficient risk management processes and procedures are implemented and maintained in accordance with the Allianz Partners Global risk management framework as well as regulations in force.They will collaborate closely with first and second line of defense leaders within the GSD or across the company (as required) to ensure timely and transparent identification, assessment and mitigation of risks in the GSD as well as to ensure that the internal control system is effectively integrated within their areas of responsibility.They will provide support for internal control programs and projects designed to identify and manage significant risks related between others to: Operatio...

Our Company At Adobe, we re transforming the world through digital experiences. We provide everyone from emerging artists to global brands with everything they need to design and deliver exceptional digital experiences. We re passionate about empowering people to create beautiful and powerful images, videos, and apps, and revolutionizing how companies interact with customers across every screen. We re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has equal access to opportunity. We know that new ideas can come from anywhere in the organization, and the next big idea could be yours! Excited by AI/ML? Interested in creating innovative solutions using Machine Learning? Join the Document Cloud team in Noida, where we are building PDF solutions across Web, Mobile, Desktop, and Platform APIs. We process billions of PDFs every month, leveraging ML, Deep Learning, and Generative AI at the core. We are looking for experienced individuals who are passionate about researching and developing methods for processing vast amounts of content, and are able to build mashups of Vision, Image Processing, NLP, and Generative Models to solve complex problems. What you get to do in this role: Develop algorithms that apply deep learning and state-of-the-art methods in NLP and computer vision, alongside traditional large-scale, sophisticated solutions/codebases. Design and create experiments, algorithms, and solutions that achieve high accuracy while ensuring they are engineered to scale. Collaborate across multiple research and engineering disciplines to make the tradeoffs necessary to rapidly deliver AI/ML software solutions. Build robust, efficient, and reusable code in Python. Experience with C++ is preferred. In order to be successful, we need someone who has: B.Tech in Computer Science. MS/PhD is preferred. 3+ years of hands-on experience in deep learning, image processing, vision, and/or NLP. Proficiency in writing efficient, clean, and reusable code, with expertise in Python. Knowledge of C++ is a plus. Broad machine learning experience including data modeling, metrics, and result analysis. Experience working with TensorFlow or PyTorch. Exposure to Deep Learning techniques like CNNs, LSTMs, Transformers, network architecture, network tuning, transfer learning, and multi-task learning. Experience in building solutions from scratch and maintaining large codebases. Strong software development skills that promote code reuse across engineering and research teams. Experience building AI applications for multiple locales is a plus. Pure Innovation: We celebrate those who think critically, take on challenges, and aspire to lead the way. Pure Growth: We offer the space and support you need to grow and contribute meaningfully to something groundbreaking. Pure Team: We believe in building each other up and working collaboratively toward shared goals. Adobe is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on gender, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by law. Qualification : B.Tech in Computer Science. MS/PhD preferred.

Sr. Computer Scientist-I Location: Noida, Uttar Pradesh, India Employment Type: Full-Time About Adobe At Adobe, we re changing the world through digital experiences. From emerging creators to global brands, we empower everyone to bring their ideas to life across images, videos, and apps. Adobe has long been committed to fostering a diverse and inclusive workplace where every employee has the opportunity to thrive. The Opportunity As a Sr. Computer Scientist-I at Adobe, you ll join the Digital Experience (DX) team, a $4B+ business serving enterprise clients, including 95%+ of Fortune 500 companies. This is a pivotal opportunity to work with Adobe Campaign, a comprehensive marketing automation platform that delivers personalized, cross-channel marketing campaigns at scale. You will play a crucial role in enhancing the platform s capabilities, driving data-driven marketing initiatives, and integrating Adobe Experience Cloud solutions. Key Responsibilities Complex Systems Integration: Ensure effective integration of new features with existing components, maintaining high performance and reliability. Advanced Algorithmic Design: Develop and optimize sophisticated algorithms to solve complex problems, enhancing system functionality. Strategic Design Judgment: Make informed design decisions aligned with long-term product goals and architectural standards. Product and Technology Expertise: Stay ahead of emerging technologies to drive innovation and continuously improve our offerings. End-to-End Product Ownership: Own product solutions through their complete development lifecycle, ensuring high quality. Collaboration: Work closely with product management, experience designers, and quality engineering to define feature requirements. Mentorship: Mentor junior team members, sharing knowledge and expertise to foster a collaborative environment. Agile Environment: Work in a fast-paced, highly collaborative, and agile setting with geographically distributed teams. Required Skills & Expertise Experience: 10-13 years of hands-on design and development experience in technical roles, with proven experience across the product lifecycle. Technical Expertise: Proficient in microservices architecture, cloud-based web services, design patterns, and frameworks. Programming Languages: Expertise in Java/Python, Kafka, Kubernetes, Docker, Web Services, REST, JUnit, MySQL/Postgres/MongoDB. Cloud Expertise: Knowledge of AWS services and/or Azure, including Docker, Jenkins, Splunk, Prometheus, and New Relic. Problem Solving: Ability to drive decisions and build consensus in ambiguous scenarios. Communication Skills: Excellent oral and written communication skills, both interpersonal and client-facing. Educational Qualifications: Minimum of a Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Be part of a dynamic and innovative team shaping the future of digital marketing technologies. Collaborate with leading experts in an exceptional work environment recognized globally. Opportunities for continuous learning, mentorship, and professional growth. Competitive compensation and benefits package, with flexible work culture. Adobe is an Equal Opportunity Employer and is committed to creating a diverse, inclusive, and empowering workplace. We encourage applicants from all backgrounds to apply. Qualification : Minimum of a Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

About the Team We are a dynamic team that works in a fast-paced environment, ambitious to make a huge impact. Aligned with the company s vision and strategy, the cross-functional teams work closely to build cutting-edge SaaS products that enable software developers & testers globally to perform testing intelligently at scale. Default to transparency, we share stories of our successes, failures, challenges, and interests so that we can learn from and support one another. Responsibilities Provide 24x7 world-class support to LambdaTest customers. (Rotation Shift) Manage customer queries and issues on Chat, Email, and on the Call. Troubleshoot browser-related issues - Chrome, Safari, Firefox, Edge etc. Manage ticket and chat SLAs. Collaborate with Engineering, DevOps, and Product Management teams to address customer issues Strong understanding of cross-browser manual and automation testing Understand the Web-based applications (IIS, W/LAMP etc.) Awareness of programming languages (JavaScript, Java, Python, PHP) and testing frameworks. Awareness of Hybrid cloud-based Saas solutions Requirements Basic knowledge of frontend techs HTML/5, CSS. Basic knowledge of at least one programming language (JavaScript, Java, Python, PHP) Basic understanding of APIs, and web-based applications. Ticketing tool (ServiceNow, Jira, ZohoDesk) Soft Skills Excellent written and verbal skills Customer empathy Team player Qualification MCA/MTech/BTech in Computer Science Qualification : MCA/MTech/BTech in Computer Science

Job Description: Essential Job Functions: Collaborate with the software development team to design, code, and test software solutions, with a focus on developing and maintaining critical components. Work with senior team members to meet project requirements and deadlines, actively participating in design and code reviews. Contribute to troubleshooting and problem-solving in software development, diagnosing and resolving complex technical issues. Participate in the development and documentation of software requirements and specifications. Debug and resolve complex production issues, working closely with senior engineers and support teams. Stay updated on emerging technologies and best practices, researching and proposing innovative solutions. Assist in mentoring and guiding junior team members, sharing knowledge and expertise. Take ownership of challenging technical tasks and collaborate on architectural decisions. Basic Qualifications: Bachelor's degree in a relevant field (i.e., Computer Science) or equivalent combination of education and experience Typically, 4+ years of relevant work experience in industry, with a minimum of 1+ years in a similar role years of relevant software engineering experience Proficiency in 1 or more software languages and development methodologies Proficiency in coding and debugging complex software components Familiarity with software development practices and methodologies Strong problem-solving and analytical skills Effective communication and teamwork abilities Eagerness to learn and adapt to challenging technical tasks Other Qualifications: Advanced degree in a related field is a plus Relevant certifications or training a plus Qualification : Bachelor's degree in a relevant field (i.e., Computer Science) or equivalent combination of education and experience

Job Title: iOS Developer Location: Noida (Sector 63A) Experience Required: 3 to 8 years Employment Type: Full-Time About the Role As an iOS Developer at EaseMyTrip.com, you will play a key role in designing, developing, and enhancing mobile applications that deliver exceptional user experiences. You will be responsible for implementing new features, optimizing app performance, and collaborating closely with cross-functional teams to drive innovation. This position requires a proactive, skilled developer who thrives in a fast-paced environment and stays current with the latest iOS development trends and technologies. Key Responsibilities Application Architecture: Lead the design and development of scalable, robust iOS applications using best practices. Feature Development: Innovate and implement new app functionalities to meet evolving business needs. Maintenance & Optimization: Continuously enhance existing features to improve performance and user satisfaction. Collaboration: Partner with sales, design, and backend teams to deliver integrated solutions. Code Quality & Version Control: Maintain high-quality code standards and manage updates via Git, including pull requests and code reviews. UI/UX Integration: Develop intuitive user interfaces leveraging core iOS frameworks such as UIKit and Foundation. Technical Assessment: Evaluate new features and app feasibility regarding technical and resource requirements. API Integration: Work with backend developers to design and consume RESTful APIs effectively. Agile Practices: Participate in agile workflows to boost team productivity and delivery quality. Preferred Candidate Profile Experience: Minimum 2 years of hands-on experience in iOS development with strong Swift skills; experience with Objective-C and Kotlin is a plus. Technical Expertise: Deep knowledge of iOS frameworks, including UIKit and Foundation; familiarity with Apple s Human Interface Guidelines. Education: Degree in Computer Science, Engineering, or related discipline. Version Control: Proficient in Git, including branching, merging, pull requests, and code review processes. Problem-Solving: Strong analytical skills to diagnose and resolve complex technical issues. Communication: Effective communicator capable of explaining technical concepts clearly to team members. Agile Methodology: Comfortable working in agile environments with iterative development cycles. Quality & Detail-Oriented: Commitment to clean, maintainable code and polished user experiences. Tools & Libraries: Experience with Continuous Integration tools like Fastlane and third-party libraries such as Alamofire. Innovative Mindset: Ability to creatively apply best practices and stay ahead with new mobile trends. Interview Process 1st Round: HR Interview 2nd & Final Round: Operations Team Interview Qualification : Degree in Computer Science, Engineering, or related discipline.

Job Title: Enterprise Sales Manager Location: Noida, India (Work from Office) Job Type: Full-Time Industry: Technology | SaaS | Conversational AI About Rezo.AI At Rezo.AI, we are transforming customer experiences through our AI-Powered CX Cloud, which automates and analyzes customer interactions at scale across voice and non-voice channels in 30+ languages. Founded by IIT alumni Manish and Rashi Gupta in 2018, our platform is designed to help enterprises reduce churn and boost revenue without increasing operational costs. Our AI-driven APIs enable real-time 24x7 intelligent automation, providing instant responses with minimal human involvement making customer experience smarter, faster, and more cost-effective. The Problem We Solve Traditional contact centers are overwhelmed by query volumes, understaffed teams, and outdated systems resulting in poor support, customer churn, and revenue loss. Rezo.AI addresses this with its next-gen conversational AI platform scaling intelligent support at low costs. About the Role: Enterprise Sales Manager (7+ Years Experience) We are seeking an experienced and results-driven Enterprise Sales Manager to join our growing team. This role is ideal for professionals with a strong background in B2B, SaaS, or Conversational AI sales who can confidently manage complex sales cycles, drive new business, and work closely with CXO-level stakeholders. Responsibilities Own the complete sales cycle: from prospecting to closing for large enterprise accounts. Identify and convert new logo opportunities in the assigned region/industry vertical. Build and nurture CXO-level relationships, understanding client pain points and mapping solutions effectively. Present tailored solutions using consultative and concept-based selling approaches. Collaborate with pre-sales and product teams to tailor and deliver high-impact demos. Track and achieve quarterly/annual revenue targets. Stay up to date with market trends, competitors, and emerging technologies in the CX automation and AI domains. Requirements 7+ years of experience in Enterprise Sales, SaaS, or Conversational AI solutions. Strong understanding of solution and concept selling in the B2B domain. Proven experience in selling platforms such as CRM, ERP, CPaaS, Contact Center Solutions, or similar technologies. Ability to engage with C-suite executives and decision-makers. Technologically adept comfortable understanding and explaining complex solutions. Excellent communication, presentation, and negotiation skills. Highly driven, proactive, and comfortable working in a fast-paced startup environment. Life at Rezo.AI Open culture with regular town halls and full business transparency. Relaxed, inclusive, and collaborative work environment. Autonomy, ownership, and constant learning backed by cutting-edge tools and mentorship. Balanced work-life culture and company-sponsored off-sites to unwind with the team. Perks & Benefits Best-in-class health insurance & mental wellness programs. Flexible, contemporary leave policy (beyond standard sick leaves). Learning-first culture with access to training, mentorship, and growth opportunities. Join a fast-scaling AI SaaS startup with ambitious goals and a dynamic work environment. Work alongside top talent across AI, engineering, and enterprise sales. Play a key role in transforming enterprise CX with one of the most advanced AI platforms in the space. Thrive in a diverse, merit-driven organization where your ideas and work create real impact.

We are looking for Server Admin with Exp. 5-7 years. Responsibilities Managing the daily activities of configuration, maintenance, patching, updating, and troubleshooting of the operational systems. Optimizing physical and virtual systems and resource utilization, while continuing to provide system capacity analysis and planning. Assists with development to include a viable quality assurance process for monitoring and managing the computing environment throughout the life cycle. Plan and execute the installation and configuration of Windows/Linux. Plan and execute patches and troubleshooting problems. Experience required : 5 7 years Number of posts : 2 Required Skills and Experience Configure windows 2008/2012 R2. /Linux. Deep understanding of File/Folder Replication and windows domain knowledge. Install, configure and manage MS products such as MS SQL, IIS and more. DNS, DHCP, Group Policy Administration. Restoration of VMs and physical servers Reports to IT Sr. staff and management. Zoning on switch Experience with ticketing system and opening/closing/transferring problem tickets Basic network administration experience Strong knowledge of writing PowerShell and Shell scripts. Exposure to Cassandra/Kafka/Druid will be plus. Qualification : Bachelor/Master Degree

Job Summary: As a Cloud Architect, you will be responsible for designing, architecting, and implementing solutions using Microsoft Azure services combined with various open-source and enterprise management solutions (such as Backup, Monitoring, Automation, etc.). You will collaborate with clients to define the technical architecture for Public Cloud Platforms (isolated public or hybrid). Additionally, you will support the implementation and consulting efforts for Enterprise Application Infrastructure and performance/availability life cycles. Key Responsibilities: Architecture and Design: Architect and design comprehensive cloud solutions using Microsoft Azure and integrate open-source/enterprise management tools to meet client requirements. Work with clients to define the technical architecture for public cloud platforms, including public isolated or hybrid cloud environments. Cloud Platform Management Solutions: Implement management solutions to support the Public Cloud Platform. Leverage your expertise in system integration, automation, and custom scripting technologies to optimize cloud performance. Scripting and Automation: Utilize scripting technologies (PowerShell, Perl, Shell, VB Scripting, Batch) for automation tasks, system integration, and cloud service orchestration. Server Builds and Maintenance: Oversee the build and configuration of both Windows and Linux servers for cloud solutions. Work on performance and availability lifecycle management of enterprise applications and infrastructure. Networking and Infrastructure: Ensure a strong understanding of cloud networking, virtualization technologies like VMware, and server hardware such as UCS, SUN, DELL, and HP. Integrate and optimize services for infrastructure management and remote management. Security and Compliance: Manage security-related concerns, including load balancers, security certificates, IIS, MS Clustering, and patch management (WSUS). Incident and Ticket Management: Provide support for on-call escalations, performing root cause analysis to resolve issues effectively and within SLA. Ensure timely resolution of tickets, adhering to agreed SLA for ticket volume and response time. Knowledge Base and Training: Maintain and update knowledge base articles, participate in team training, and mentor junior analysts and freshers. Client Relationship Management: Ensure a positive customer experience, aiming for First Call Resolution (FCR) and minimal case reopenings or rejected resolutions. Contribute to customer satisfaction (CSAT) by providing excellent support and resolving issues quickly. Skills and Experience Required: Public Cloud Knowledge: Extensive experience with Public Cloud Platforms (especially MS Azure). MS Azure Expertise: In-depth knowledge of MS Azure services and capabilities. Scripting Skills: Strong proficiency in PowerShell, Perl, Shell, VB Scripting, Batch, and other scripting technologies for automation and system integration. Windows/Linux Server Builds: Solid experience in building and maintaining both Windows and Linux servers in cloud environments. Cloud Networking & VMware: Strong understanding of cloud networking principles and VMware infrastructure (at least version 5.5). Infrastructure Management: Familiarity with UCS infrastructure, hardware from SUN, DELL, HP, and MS clustering. Security & Certificates: Knowledge of load balancing, security certificates, IIS configuration, and patch management (WSUS). ITIL Process: Knowledge of ITIL processes, including ticketing, problem management, change management, and emergency change processes. Client-Facing Experience: Proven ability to work with clients to gather requirements and define solutions, ensuring customer satisfaction and minimal case reopenings. Qualification : Bachelor of Technology