
- Assisting the Client Support Manager in developing efficient systems to support the work of the Client Support Team.
- Revenue generations through Cross Selling products & Interest Collection.
- Maintain good relationships with clients so that the business can
maximize the value of those relationships.
- Customer Relationship and Follow-up.
- Maintenance of important registers and daily reports.
- Cash Management and accounting.
- CASA management (Current Account /Savings account )
- Sourcing of New Customers to increase Gold loan Business, Gold Appraisal.

Similar jobs
Job Description:
Experience: 7 -15 Years
Job Description :
Key responsibilities
As an GEN AI Expert [Min 4 + years of relevant exp on NLP, CV and LLMs], you will be responsible for designing, building, and fine-tuning NLP models and large language model (LLM) agents to solve business challenges. You will play a key role in creating intuitive and efficient model designs that enhance user experiences and business processes. The position demands strong design skills, hands-on coding expertise, advanced proficiency in Python development, specialized knowledge in LLM agent design and development, and exceptional debugging capabilities.
- Model & Agent Design: Conceptualize and design robust NLP solutions and LLM agents tailored to specific business needs, with a focus on user experience, interactivity, latency, failover and functionality.
- Hands-on Coding: Write,test, and maintain clean, efficient, and scalable code for NLP models and AI agents, with a strong emphasis on Python programming.
- Build high quality multi-modal & multi-agents applications/frameworks
- Knowledge on input/output token utilization, prioritization and consumption w.r.t AI agents
- Performance Monitoring: Monitor, optimize LLM agents, implementing model explainability, handling model drift, and ensuring robustness.
- Research Implementation:Ability to read, comprehend, and implement AI Agent research papers into practical solutions. Stay abreast of the latest academic and industry research to apply cutting-edge methodologies and techniques.
- Debugging & Issue Resolution: Proactively identify, diagnose, and resolve issues related to AI agents, including model inaccuracies, performance bottlenecks, and system integration problems. Utilize debugging tools and techniques to troubleshoot complex problems in model behavior, data inconsistencies, and deployment errors.
- Innovation and Research:Stay updated with the latest advancements in AI agents technologies,experimenting with new techniques and tools to enhance agent capabilities and performance.
- Continuous Learning: Adaptability to unlearn outdated practices, patterns, technologies and quickly learn and implement new technologies & papers as the ML world evolves. Maintain a proactive approach to staying current with emerging trends and technologies in Agent based solutions (Text & Multi Modal).
- Clear understanding of tool usage and structured outputs in agents
- Clear understanding of speculative decoding and AST-Code RAG
- Clear understanding of Streaming and Sync/Async processing
- Clear understanding of embedding models and their limitations
Tech stack required:
Programming languages: Python
Public Cloud: Azure
Frameworks: Vector Databases such as Milvus, Qdrant/ ChromaDB, or usage of CosmosDB or MongoDB as Vector stores. Knowledge of AI Orchestration, AI evaluation and Observability Tools. Knowledge of Guardrails strategy for LLM. Knowledge on Arize or any other ML/LLM observability tool.
Experience: Experience in building functional platforms using ML, CV, LLM platforms. Experience in evaluating and monitoring AI platforms in production.

● Advanced JavaScript, CSS, HTML 5, DOM Concepts
● Knowledge of REACT tools and framework including React.js (Hooks + Classes), Webpack,
Redux, and Flux, Next.js
● Knowledge of Typescript
● Knowledge of performance testing frameworks including Mocha and Jest.
● Familiarity with common UI Libraries such as materialUI, bootstrap.
● Fluent in responsive design and mobile / tablet UI / UX
● Knowledge of version control systems like Git.
● An understanding of React best practices and a commitment to following them.
● Ability to create and maintain continuous integration and delivery of React applications.
● Fintech experience - preferred
Job Description: Data Engineer (Fintech Firm)
Position: Data Engineer
Experience: 2-4 Years
Location: Mumbai-Andheri
Employment Type: Full-Time
About Us:
We are a dynamic fintech firm dedicated to revolutionizing the financial services industry through innovative data solutions. We believe in leveraging cutting-edge technology to provide superior financial products and services to our clients. Join our team and be a part of this exciting journey.
Job Overview:
We are looking for a skilled Data Engineer with 3-5 years of experience to join our data team. The ideal candidate will have a strong background in ETL processes, data pipeline creation, and database management. As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable data systems and pipelines.
Key Responsibilities:
- Design and develop robust and scalable ETL processes to ingest and process large datasets from various sources.
- Build and maintain efficient data pipelines to support real-time and batch data processing.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
- Optimize database performance and ensure data integrity and security.
- Troubleshoot and resolve data-related issues and provide support for data operations.
- Implement data quality checks and monitor data pipeline performance.
- Document technical solutions and processes for future reference.
Required Skills and Qualifications:
- Bachelor's degree in Engineering, or a related field.
- 3-5 years of experience in data engineering or a related role.
- Strong proficiency in ETL tools and techniques.
- Experience with SQL and relational databases (e.g., MySQL, PostgreSQL).
- Familiarity with big data technologies
- Proficiency in programming languages such as Python, Java, or Scala.
- Knowledge of data warehousing concepts and tools
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
Preferred Qualifications:
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Knowledge of machine learning and data science principles.
- Experience with real-time data processing and streaming platforms (e.g., Kafka).
What We Offer:
- Competitive compensation package (12-20 LPA) based on experience and qualifications.
- Opportunity to work with a talented and innovative team in the fintech industry..
- Professional development and growth opportunities.

Seenit’s suite of apps enables the leading retailers around the world to transform their customer experience and build loyal relationships with their customers. The apps allow retailers to make use of their physical infrastructure and resources to deliver a truly omnichannel experience in today's rapidly changing world of shopping.
We would welcome someone to the team who:
- Loves to write “clean”, well designed code to solve complex problems
- Can design, develop and test the core product software to ensure strong optimization and functionality
- Is inclined to contribute in all phases of the development lifecycle and takes end to end ownership of the project
- Is excited to support others to succeed and shine in a collaborative team culture
Your application will require you to have:
- Just some previous projects to showcase, no need for CV immediately
You should work with us because:
- We’re a relaxed diverse group and don’t take ourselves too seriously
- We're creative and want to change the world while we're at it (yes we do!)
- Our products have an international audience and our partners are around the globe
- Team lunches are more frequent than team meetings
- We love to travel and will ask you to take time off to refresh

However, Most importantly, you will need to be very passionate about building products and will need to thrive in a startup environment.
Responsibilities -
- Architect, develop and maintain core products and services of the company.
- Create database architecture and best practises for optimization in speed and product operating costs.
- Design client-side and server-side architecture
- Build the front-end of applications through appealing visual design
- Develop and manage well-functioning databases and applications
- Write effective APIs with high-volume large scale transaction processing capabilities.
- Collaborate with design teams to ensure flawless UI and UX is achieved
- Build features and applications with a mobile responsive design
- Write technical documentation
- Test software to ensure responsiveness and efficiency
- Work with customers in evaluating technical requirements.
- Work closely with the product managers to achieve product vision and goals
- Review work of other developers and contractors, provide feedback and mentoring.
- Assist in the hiring of technical talent.
Requirements & Qualifications
- Proven experience as a Full Stack Developer or similar role for atleast 3 years
- In depth knowledge of Ruby on Rails, NodeJS, ExpressJS or Restify
- Experience implementing applications using Angular 1 or React
- Experience creating front end applications using HTML5, Angular, LESS/SASS
- Hands on experience with JavaScript Development on both client and server-side
- Automating the building and deploying of code along with continuous integration (Jenkins/Hudson) and version control (SVN, Git)
- Strong experience is deploying and managing application in AWS and Google Cloud
- Creating secure RESTful-based web services in XML and JSON, Javascript, JQuery
- Experience with modern frameworks and design patterns, minimum 2 years experience with MEAN Fullstack paradigm
Most important requirements and TLDR -
- Know how to create apis and applications
- Know how to architect and scale databases
- Know how to build front end for applications
- Know how to deploy applications on the cloud

Job description:-
- Responsibilities Implementing business development activities, attending to all relevant business opportunities in International Market for IT Software Industry.
- It would be involved in Business Development Life Cycle, mainly focusing on areas like Cold Calling, Client Interaction International Business Development.
- Generate lead and achieve monthly target.
- Maintain and develop relationships with customers.
- Act as a contact between a company and its existing and potential clients.
- Negotiate the terms of an agreement and close sales.
- Conducting market research to identify new business opportunities.
Requirements:-
- Minimum Qualifications Any Graduate
- 2 to 4 years of Proven experience working as a business development in Offshore IT Services.
- Excellent English Communication Presentation Skills with pleasing personality.
- The ability to work in a fast-paced environment.
- Exceptional negotiation and decision-making skills.
Desired Skills and Experience
- Bid On freelancer, guru, UpWork.
- Lead generation LinkedIn, Xing, AnglList and from other platforms.
- Intermediate in between client and developer.
- Make SRS report for requirement.
- International business development
- Mentor the junior business development executive
- Take ownership for the business growth



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.

