
culture and operating norms as a result of the fast-paced nature of a new, high-growth
organization.
• 7+ years of Industry experience primarily related to Unstructured Text Data and NLP
(PhD work and internships will be considered if they are related to unstructured text
in lieu of industry experience but not more than 2 years will be accounted towards
industry experience)
• Develop Natural Language Medical/Healthcare documents comprehension related
products to support Health business objectives, products and improve
processing efficiency, reducing overall healthcare costs
• Gather external data sets; build synthetic data and label data sets as per the needs
for NLP/NLR/NLU
• Apply expert software engineering skills to build Natural Language products to
improve automation and improve user experiences leveraging unstructured data storage, Entity Recognition, POS Tagging, ontologies, taxonomies, data mining,
information retrieval techniques, machine learning approach, distributed and cloud
computing platforms
• Own the Natural Language and Text Mining products — from platforms to systems
for model training, versioning, deploying, storage and testing models with creating
real time feedback loops to fully automated services
• Work closely and collaborate with Data Scientists, Machine Learning engineers, IT
teams and Business stakeholders spread out across various locations in US and India
to achieve business goals
• Provide mentoring to other Data Scientist and Machine Learning Engineers
• Strong understanding of mathematical concepts including but not limited to linear
algebra, Advanced calculus, partial differential equations and statistics including
Bayesian approaches
• Strong programming experience including understanding of concepts in data
structures, algorithms, compression techniques, high performance computing,
distributed computing, and various computer architecture
• Good understanding and experience with traditional data science approaches like
sampling techniques, feature engineering, classification and regressions, SVM, trees,
model evaluations
• Additional course work, projects, research participation and/or publications in
Natural Language processing, reasoning and understanding, information retrieval,
text mining, search, computational linguistics, ontologies, semantics
• Experience with developing and deploying products in production with experience
in two or more of the following languages (Python, C++, Java, Scala)
• Strong Unix/Linux background and experience with at least one of the following
cloud vendors like AWS, Azure, and Google for 2+ years
• Hands on experience with one or more of high-performance computing and
distributed computing like Spark, Dask, Hadoop, CUDA distributed GPU (2+ years)
• Thorough understanding of deep learning architectures and hands on experience
with one or more frameworks like tensorflow, pytorch, keras (2+ years)
• Hands on experience with libraries and tools like Spacy, NLTK, Stanford core NLP,
Genism, johnsnowlabs for 5+ years
• Understanding business use cases and be able to translate them to team with a
vision on how to implement
• Identify enhancements and build best practices that can help to improve the
productivity of the team.

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About the role
- Conduct job evaluations and market pricing using compensation survey data to ensure roles are benchmarked accurately and consistently. Participate in salary survey submissions and maintain survey vendor relationships.
- Develop and maintain reports, dashboards, and compensation tools to support HR and business decision-making. Analyze internal pay equity and external competitiveness, identifying trends and flagging issues for review.
- Support annual compensation planning processes, including data preparation, system updates, and reporting. Maintain and update compensation data in HRIS systems, ensuring accuracy and data integrity.
- Support the management of global compensation programs, including variable incentive program market evaluation and administrative operations locally.
- Manage and optimize AI-enabled compensation tools and platforms, including evaluating vendor solutions, designing workflows, configuring models or prompts for compensation use cases, and driving adoption across HR and business stakeholder groups.
- May manage compensation programs, such as recognition and morale programs, including program enhancement, administration, budget oversight, and effectiveness analysis, ensuring alignment with total rewards philosophy and a positive employee experience.
- Ensure data quality, compliance, and alignment with compensation policies by auditing compensation data, enforcing data governance standards, and identifying process improvements across systems such as Workday and external survey platforms.
Who you are
- 8+ years of experience in compensation, rewards, or closely related HR analytics roles supporting program design and administration.
- Experience conducting market benchmarking, participating in or leading salary survey submissions, and applying survey data to develop or maintain salary structures and incentive programs.
- Experience analyzing large data sets to generate compensation insights and recommendations, using spreadsheets and reporting tools to inform decisions for HR and business stakeholders.
- Experience working with HRIS or HCM systems (such as Workday) to support compensation processes and maintain data integrity.
- Experience working with or implementing AI-enabled HR or compensation tools, including vendor evaluation, workflow design, or model/prompt configuration for compensation use cases.
- Experience administering recognition, morale or other ancillary programs, including program design, budget management, and reporting.
- Comfort experimenting with and adopting emerging technologies to improve compensation processes, data analysis, or stakeholder communication.
Date posted: January 22, 2026
Pay: ₹10,000.00 - ₹15,000.00 per month
Job description:
*Role Overview*
The Support Executive will act as the first point of contact for Jupsoft clients, providing prompt assistance, resolving day-to-day issues, and ensuring a smooth user experience with our ERP, CRM, and LMS products. The role requires excellent communication skills, problem-solving ability, and a strong customer-first approach.
*Key Responsibilities*
1. Handle customer queries via phone, email, chat, or ticketing system.
2. Provide timely solutions for user-level issues such as login, permissions, password resets, and navigation support.
3. Log, track, and close tickets while maintaining SLA compliance.
4. Escalate unresolved or complex issues to higher-level support when needed.
5. Maintain accurate documentation of issues and resolutions.
6. Assist clients in using ERP/CRM/LMS modules effectively.
7. Share product updates, FAQs, and knowledge base content with clients.
8. Contribute feedback on recurring issues to improve product quality and support processes.
*Requirements*
1. Proficiency in English (written and spoken).
2. Willingness for Travelling
3. Strong interpersonal and communication skills.
4. Ability to handle day-to-day client tickets with patience and empathy.
5. Customer-first attitude with focus on satisfaction.
6. Analytical and problem-solving skills.
7. Exposure to School ERP/CRM/LMS is an added advantage.
8. Required Experience- 1 year
Job Type: Full-time
Experience:
- Customer support: 1 year (Preferred)
Language:
- English (Required)
Willingness to travel:
- 50% (Required)
Work Location: In person
We are looking for people with experience in Business Development, preferably experienced in interacting with International clients or some exposure in that space.
Highly incentivized role!
| Hybrid Model Available (2 Days WFO & 3 Days WFH) |
WFO: 5 am - 11pm
WFH : 12am- 3am
Flexible Salary bracket
DevOps Engineer
Job Description:
The position requires a broad set of technical and interpersonal skills that includes deployment technologies, monitoring and scripting from networking to infrastructure. Well versed in troubleshooting Prod issues and should be able to drive till the RCA.
Skills:
- Manage VMs across multiple datacenters and AWS to support dev/test and production workloads.
- Strong hands-on over Ansible is preferred
- Strong knowledge and hands-on experience in Kubernetes Architecture and administration.
- Should have core knowledge in Linux and System operations.
- Proactively and reactively resolve incidents as escalated from monitoring solutions and end users.
- Conduct and automate audits for network and systems infrastructure.
- Do software deployments, per documented processes, with no impact to customers.
- Follow existing devops processes while having flexibility to create and tweak processes to gain efficiency.
- Troubleshoot connectivity problems across network, systems or applications.
- Follow security guidelines, both policy and technical to protect our customers.
- Ability to automate recurring tasks to increase velocity and quality.
- Should have worked on any one of the Database (Postgres/Mongo/Cockroach/Cassandra)
- Should have knowledge and hands-on experience in managing ELK clusters.
- Scripting Knowledge in Shell/Python is added advantage.
- Hands-on Experience over K8s based Microservice Architecture is added advantage.
- 1+ years of experience in any technology like VB.Net, ASP .Net etc.
- Currently working on live projects
- Problem solving skills
- Go getter attitude
There will be rigouros training provided on










