Overview
As an engineer in the Service Operations division, you will be responsible for the day-to-day management of the systems and services that power client products. Working with your team, you will ensure daily tasks and activities are successfully completed and where necessary, use standard operating procedures and knowledge to resolve any faults/errors encountered.
Job Description
Key Tasks and Responsibilities:
Ensure daily tasks and activities have successfully completed. Where this is not the case, recovery and remediation steps will be undertaken.
Undertake patching and upgrade activities in support of ParentPay compliance programs. These being PCI DSS, ISO27001 and Cyber Essentials+.
Action requests from the ServiceNow work queue that have been allocated to your relevant resolver group. These include incidents, problems, changes and service requests.
Investigate alerts and events detected from the monitoring systems that indicate a change in component health.
Create and maintain support documentation in the form of departmental wiki and ServiceNow knowledge articles that allow for continual improvement of fault detection and recovery times.
Work with colleagues to identify and champion the automation of all manual interventions undertaken within the team.
Attend and complete all mandatory training courses.
Engage and own the transition of new services into Service Operations.
Participate in the out of hours on call support rota.
Qualifications and Experience:
Experience working in an IT service delivery or support function OR
MBA or Degree in Information Technology or Information Security.
Experience working with Microsoft technologies.
Excellent communication skills developed working in a service centric organisation.
Ability to interpret fault descriptions provided by customers or internal escalations and translate these into resolutions.
Ability to manage and prioritise own workload.
Experience working within Education Technology would be an advantage.
Technical knowledge:
Advanced automation scripting using Terraform and Powershell.
Knowledge of bicep and ansible advantageous.
Advanced Microsoft Active Directory configuration and support.
Microsoft Azure and AWS cloud hosting platform administration.
Advanced Microsoft SQL server experience.
Windows Server and desktop management and configuration.
Microsoft IIS web services administration and configuration.
Advanced management of data and SQL backup solutions.
Advanced scripting and automation capabilities.
Advanced knowledge of Azure analytics and KQL.
Skills & Requirements
IT Service Delivery, Information Technology, Information Security, Microsoft Technologies, Communication Skills, Fault Interpretation, Workload Prioritization, Automation Scripting, Terraform, PowerShell, Microsoft Active Directory, Microsoft Azure, AWS, Microsoft SQL Server, Windows Server, Windows Desktop Configuration, Microsoft IIS, Data Backup Management, SQL Backup Solutions, Scripting, Azure Analytics, KQL.

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We are looking for a trainer to deliver an advanced AI Training for Oracle Services, specifically leveraging the licensed tool Claude.
The scope of the training should cover the following topics:
- EBS Form Designing using AI
- APEX Form Designing using AI
- Report Generation (.rdf, Fusion BIP) using AI
- Report Bursting using AI
- PaaS/VBCS Form Personalization using AI tools
- Fusion Form Customization using Groovy Script and AI
- EBS to Fusion Form Conversion
- APEX to Fusion Form Conversion
The expected number of participants is 15, and the training is preferred to be conducted offline.
About the Role
We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.
Responsibilities
• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.
• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.
• Fine-tune pre-trained models and develop custom models based on specific business needs.
• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.
• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.
• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.
• Ensure scalability and performance of deployed AI solutions within the full application stack.
• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.
• Design and implement APIs or services that expose machine learning models to frontend or other systems
• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.
• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.
• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.
• Document processes, methodologies, and results for future reference and reproducibility.
Required Skills & Qualifications
• Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.
• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.
• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.
• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.
• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.
• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.
• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.
• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.
• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.
• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.
• Understanding of system design and software architecture for integrating AI into production environments.
• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).
• Demonstrated projects where AI models were part of deployed user-facing applications.
• NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.
• Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.
• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.
Nice to Have
• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.
• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.
• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).
• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.
• Solid understanding of statistics and probability.
• Experience working in Agile development environments.
What You'll Gain
• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.
• Collaborate with a diverse, highly skilled team in a fast-paced environment.
• Opportunity to work on impactful projects with real-world applications.
• Competitive salary and career growth opportunities
Job description
Responsibilities:
1) Develop a deep understanding of Morphedo's products and their applications across different industries.
2) Stay updated on industry trends, competitor products, and emerging technologies.
3) Engage with potential clients to understand their needs and requirements.
4) Conduct product demonstrations, presentations, and technical discussions with clients to showcase the benefits of our solutions.
5) Provide technical support and guidance throughout the sales process.
6) Collaborate with the product development team to tailor solutions to meet specific client needs.
7) Create proposals, quotes, and technical documentation as required during the sales cycle.
8) Build and maintain strong relationships with clients, understanding their long-term goals and challenges.
9) Act as a trusted advisor to clients, providing insights and recommendations on how Morphedo's products can address their needs.
10) Work closely with the sales team to work on strategies
11) Provide input for marketing campaigns, product positioning, and sales collateral development.
Requirements:
*Bachelors and Master Degree in Engineering or a related technical field.
*Proven experience in a technical sales role, preferably within the deep tech or engineering industry.
*Strong understanding of Engineering, Medical, IoT, AI, Aerospace & Defence, and/or Embedded Systems.
*Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical audiences. *Ability to work independently and as part of a team in a fast-paced environment.
*Willingness to travel as needed to meet with clients and attend industry events.
Experience: 8+ Years
Work Location: Hyderabad
Mode of work: Work from Office
Senior Data Engineer / Architect
Summary of the Role
The Senior Data Engineer / Architect will be a key role within the data and technology team, responsible for engineering and building data solutions that enable seamless use of data within the organization.
Core Activities
- Work closely with the business teams and business analysts to understand and document data usage requirements
- Develop designs relating to data engineering solutions including data pipelines, ETL, data warehouse, data mart and data lake solutions
- Develop data designs for reporting and other data use requirements
- Develop data governance solutions that provide data governance services including data security, data quality, data lineage etc.
- Lead implementation of data use and data quality solutions
- Provide operational support for users for the implemented data solutions
- Support development of solutions that automate reporting and business intelligence requirements
- Support development of machine learning and AI solution using large scale internal and external datasets
Other activities
- Work on and manage technology projects as and when required
- Provide user and technical training on data solutions
Skills and Experience
- At least 5-8 years of experience in a senior data engineer / architect role
- Strong experience with AWS based data solutions including AWS Redshift, analytics and data governance solutions
- Strong experience with industry standard data governance / data quality solutions
- Strong experience with managing a Postgres SQL data environment
- Background as a software developer working in AWS / Python will be beneficial
- Experience with BI tools like Power BI and Tableau
Strong written and oral communication skills
Staff Engineer (Hybris)
Experience- 5.5- 9 years
Location- Remote (Anywhere in India)
We're Nagarro.
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (19000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in.
REQUIREMENTS:
- Experience with Hybris 6.x with knowledge of HYBRIS -B2B-ACCELERATOR, Hybris back-office, Hybris Frontend WCMS cockpit, product cockpit, Hybris, Hybris core, Hybris Commerce, Hybris Search, Hybris OCC, Slor Customization
- Experience working on core Java, Spring Core, Spring MVC, Unit testing.
- Strong experience in SAP Spartacus or Rule engine and promotions or SAP Commerce Accelerator Storefront
- Knowledge of one or more modules HYBRIS-PIM, HYBRIS-PROMOTIONS, HYBRIS-OMS, HYBRIS -TRAVEL-ACCELERATOR
- Knowledge of high-quality professional software engineering practices for agile software development cycle, including coding standards, code reviews, source control management, build processes, testing, and deployment
- Fundamental knowledge of design patterns
- Experience in communicating effectively with users, other technical teams, and management to collect requirements, describe software product features, and technical designs
- Passionate about building great solutions
- Mentoring the team members to meet the client's needs and holding them accountable for high standards of delivery
- Being able to understand and relate technology integration scenarios and be able to apply these learnings in complex troubleshooting scenarios
RESPONSIBILITIES:
- Analysing the project’s requirements and the ability to convert said requirements into technical documents, design and code
- Implementing design methodologies and tool sets
- Writing well-designed, defect free code which scales well and follows all best practices and guidelines
- Executing the development of software with a strong focus on the security, performance, and robustness.
- Conducting deep level analysis to identify root cause to systematically resolve issues
- Following all defined software configuration management best practices
- Reviewing code to identify issues as well as deviations from best practices
- Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement.
Responsibilities
- In this role, you should be able to work independently with little supervision.
- You should have excellent organization and problem-solving skills.
- If you also have hands-on experience in software development and agile methodologies, we’d like to meet you.
- You will be responsible to develop high-quality software that is aligned with user needs and business goals.
- 5 to 10 years of end-to-end development using Java & UI technology (ReactJS)
- Good knowledge of any relational database).
- Experience in JavaScript along with an OOP language
- Well versed with testing concepts and methodologies
- Agile/Scrum development and full SDLC from development to production deployment.
- Analytical mind with problem-solving aptitude.
- Ability to work independently.
- Excellent written and oral communication skills.
Our client is more than 2 decades old NBFC registered with the RBI. The company was set up with an aim to empower rural entrepreneurs, SMEs, and small institutions by micro-financing. The company has come a long way since its inception in 1992 and has evolved with time with the introduction of its App in the small loans sector. At present, the company has more than 5000 employees and has serviced millions of borrowers to accomplish their dreams.
The group has diversified into the education segment and is running two schools. The schools are part of one of the largest private school chains in India. The schools have a flourishing family of 350 teachers and 6500 students. The leadership team at the helm of the company has demonstrable experience in financial services and has built the company by upholding the trust of its customers.
What you need to do:
- Identifying and sourcing prospective Channel Partners (CSP’s) in line with the requirements of the company
- Managing a team of Channel Partners (CSP’s) and selling the financial products/services of the company
- Being a representative of the company and ensuring that the queries or concerns raised by the Channel Partners (CSP’s) are resolved in a timely manner
- Ensuring that the Channel Partners (CSP’s) are handling and processing various related forms and documents as per the laid down processes
- Ensuring that the Channel Partners (CSP’s) are working and are operational during the working hours as per the company’s guidelines
- Monitoring the work-related activities of the channel of Channel Partners (CSP’s) and guiding them accordingly and thus be a link between the Principals and the team of Channel Partners (CSP’s)
- Working closely with internal stakeholders such as the teams within the company and also external stakeholders such as customers
- Ensuring compliance of related rules, laws & regulations while handling and selling the financial services to the customers
- Updating and maintaining a database of sales figures and other related data and reporting the same to the business in regular intervals
Desired Candidate Profile
What you need to have:- Graduation is a must
- Total work experience of 10 years with at least 3 years of work experience in heading business correspondent channel and driving sales through the same
- Excellent networking skills











