
• Netcool/Omnibus Administration such as lookup, rules file, Props file etc.
• Omnibus probes : MTTRAPD, EIF , PING etc.
• Application monitoring and troubleshooting, operational category resolution and SLA notification configuration.
• Providing Support for various issues time to time
• Old alarms reporting on netcool
• Alarm Clearance and delay issues
• Synthetic Alarms issue’s for MATE.
• Auto TT issues
• Should be flexible to rotational shifts and shift timings (as per the roster),
. willingness to do on call support etc

About MasterCom Technology Services India P Ltd
About
Similar jobs

Mentoring teams to carry forward recognised and optimised solutions, building conducive environments for knowledge transfer and maintaining standards in terms of deliveries form a major part of responsibilities.
Responsibilities
- Design and develop robust scalable database systems
- Design, build and deploy internal applications to support our native technical ecosystem
- Collaborate with Subject-Matter experts to design data-driven modules for analysis
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering or equivalent
- 3-4 years of experience in Java
Skills
- Expertise in object-oriented programming concepts and data structures
- Strong knowledge of working with XMLs/Jsons
- Experience with large-scale distributed storage and database systems (MySQL, MongoDB, GraphDB)
- Good knowledge of indexing/search libraries like Lucene/Solr/Elasticsearch
- Exposure to Spring MVC architecture and RESTful APIs
- Well-versed with Agile methodology of SDLC
- Good to have: Knowledge of standard DevOps skills like Build tools (Maven/gradle), Continuous integration (Jenkins), Version Control (Github/Gitlab)
We are seeking an experienced, proactive Customer Success Associate to join our team and help nurture and grow relationships with our valued customers. You will be responsible for ensuring customer satisfaction, driving product adoption, and minimizing churn for our SaaS product. If you are passionate about delivering excellent customer service and have experience in managing customer success, we’d love to hear from you!
Responsibilities:
- Act as the main point of contact for our customers, helping them navigate our SaaS product
- Manage customer onboarding, ensuring smooth implementation and product adoption.
- Monitor customer health metrics and provide proactive outreach to prevent churn.
- Develop and maintain strong relationships with customers, understanding their goals, and aligning them with our product offerings.
- Respond to customer inquiries via email, Slack, or phone in a timely and professional manner.
- Collaborate with internal teams (sales, support, product) to resolve customer issues and improve the overall experience.
- Create and deliver product training sessions to customers, ensuring they maximize value from our platform.
Requirements:
- Proven experience in Customer Success or similar role in the SaaS industry.
- Experience in direct customer interactions.
- Excellent communication and relationship-building skills.
- Strong understanding of SaaS products
- Ability to identify customer needs and align them with product capabilities.
- Proactive mindset with problem-solving abilities and the ability to work independently.
- Experience using CRM tools (e.g., Salesforce, HubSpot) preferred.
- Have worked with direct interactions with Customer
- Strong organizational skills and attention to detail.
Preferred Qualifications:
- Experience working in a B2B SaaS environment.
- Knowledge of customer success metrics and how to manage them.



Job Description:
1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges
a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem
b. Improve Model accuracy to deliver greater business impact
c.Estimate business impact due to deployment of model
2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge
3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines
4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch
5.Experience in using Deep learning models with text, speech, image and video data
a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV
c.Knowledge of State of the art Deep learning algorithms
6.Optimize and tune Deep Learnings model for best possible accuracy
7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau
8.Work with application teams, in deploying models on cloud as a service or on-prem
a.Deployment of models in Test / Control framework for tracking
b.Build CI/CD pipelines for ML model deployment
9.Integrating AI&ML models with other applications using REST APIs and other connector technologies
10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.
· Technology/Subject Matter Expertise
- Sufficient expertise in machine learning, mathematical and statistical sciences
- Use of versioning & Collaborative tools like Git / Github
- Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
- Develop prototype level ideas into a solution that can scale to industrial grade strength
- Ability to quantify & estimate the impact of ML models.
· Softskills Profile
- Curiosity to think in fresh and unique ways with the intent of breaking new ground.
- Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
- Ability to think ahead, and anticipate the needs for solving the problem will be important
· Ability to communicate key messages effectively, and articulate strong opinions in large forums
· Desirable Experience:
- Keen contributor to open source communities, and communities like Kaggle
- Ability to process Huge amount of Data using Pyspark/Hadoop
- Development & Application of Reinforcement Learning
- Knowledge of Optimization/Genetic Algorithms
- Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
- Optimize and tune deep learning model for best possible accuracy
- Understanding of stream data processing, RPA, edge computing, AR/VR etc
- Appreciation of digital ethics, data privacy will be important
- Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
- Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus
Develops a purchasing strategy.
Reviews and processes purchase orders.
Manages other members of the purchasing team.
Maintains records of goods ordered and received.
Negotiates prices and contracts with suppliers.
Builds and maintains relationships with vendors.
Selects prospective vendors and negotiates contracts.
Evaluates vendors based on quality, timeliness, and price.
Schedules deliveries and ensures timely fulfillment of orders.
Researches and evaluates vendors to compare pricing and services.
Coordinates with fellow managers to monitor inventory and determine supply needs.
Ensures quality of procured items and addresses problems when they arise.
Keeps up with trends in procurement.
Travels to vendor locations.
Stays current with purchasing technology trends and oversees purchase and implementation, as necessary.
Java/J2EE with strong SpringBoot
Very good knowledge of using annotations with SpringBoot
Very good knowledge of using java functional programming concepts in
SpringBoot
Should have database knowledge
Knowledge of Spring Cloud would be a plus.
ROLES & RESPONSIBILITIES
Hands-on experience in Core Java, J2EE, Jasper, Spring, Spring Boot,
Spring Security.
Hands-on experience in Front-end technologies like JavaScript
Understanding of HTML5, CSS3, BootStrap, Material UI, and CSS preprocessors including Sass and LESS.
Understanding of basic prototype design and UI /UX design.
Exposure to working with datastores - SQL or NoSQL.
Good understanding of coding standards & best practices.
Good communication skills
• Experienced Developer in Shell scripting,
• PERL Scripting
• PL/SQL knowledge is required.
• Advance Communication skill is a must.
• Ability to learn new applications and technologies



1) Understand the business objectives, formulate hypotheses and collect the relevant data using SQL/R/Python. Analyse bureau, customer and lending performance data on a periodic basis to generate insights. Present complex information and data in an uncomplicated, easyto-understand way to drive action.
2) Independently Build and refit robust models for achieving game-changing growth while managing risk.
3) Identify and implement new analytical/modelling techniques to improve model performance across customer lifecycle (acquisitions, management, fraud, collections, etc.
4) Help define the data infrastructure strategy for Indian subsidiary.
a. Monitor data quality and quantity.
b. Define a strategy for acquisition, storage, retention, and retrieval of data elements. e.g.: Identify new data types and collaborate with technology teams to capture them.
c. Build a culture of strong automation and monitoring
d. Staying connected to the Analytics industry trends - data, techniques, technology, etc. and leveraging them to continuously evolve data science standards at Credit Saison.
Required Skills & Qualifications:
1) 3+ years working in data science domains with experience in building risk models. Fintech/Financial analysis experience is required.
2) Expert level proficiency in Analytical tools and languages such as SQL, Python, R/SAS, VBA etc.
3) Experience with building models using common modelling techniques (Logistic and linear regressions, decision trees, etc.)
4) Strong familiarity with Tableau//Power BI/Qlik Sense or other data visualization tools
5) Tier 1 college graduate (IIT/IIM/NIT/BITs preferred).
6) Demonstrated autonomy, thought leadership, and learning agility.


Job description:
Job Title/Designation/Position: Dotnet Developer / Sr. Dotnet Developer
Total Experience: 4-8 years
Relevant Experience: 4-8 years
Job Location: Pune/Hyderabad/Bangalore & Hyderabad
Skills/Qualifications:
Primary Skills (Must have):
- C# with good understanding of OOPS, design patterns and multi-threading
- ASP.Net MVC, WEBAPI, RESTful services, JavaScript, jQuery
- .Net Framework
- Advanced knowledge of Microsoft SQL Server
- Knowledge of Unit Testing and Automated tests (nUnit)
- Knowledge of SQL Server/Oracle database and able to write Store-Procedures
- Strong analytical and problem-solving skills
- Good analytical skills along with Excellent written and verbal communication skills in English
- Bachelor’s Degree in Engineering /Technology / MCA
Secondary Skills (Nice to have):
- HTML5
- CSS3
- Node JS
To Sale product




