Salesforce Technical Lead

Job Role: Sales Manager

Experience Level: 2+ years

Location: Mysore

Job Description: As a Sales Manager in our Real Estate Division, you will be responsible for driving sales by following up on leads generated through our online campaigns, nurturing prospective clients, and guiding them through the property purchase process. Your primary goal will be to convert prospective leads into buyers by providing expert guidance, arranging site visits, showcasing properties of our clients, and closing sales, all while maintaining the unified communication which reflects the brands value and positioning.

Responsibilities:

Lead Follow-up &. Nurturing:

Timely reach out to leads generated through online campaigns via calls, emails, or messages. Maintain regular contact to build relationships and trust.

Client Engagement:

Understand client requirements, preferences, and budgets to engage rightly.

Property Site Visits:

Schedule and conduct property visits, showcase features and benefits of property to prospective buyers promptly.

Sales Conversion:

Help clients through the sales process, negotiate terms, and close deals effectively.

Documentation & Coordination:

Assist clients with documentation, paperwork, and coordinate with internal teams and clients to ensure a smooth transaction.

Market & Product Knowledge:

Stay updated on different property listings, market trends, and competitors to provide accurate information and advice to customers.

Reporting:

Maintain detailed records of client interactions, follow-ups, and sales pipeline. Provide feedback to the management for overall strategy improvements on regular basis.

Requirements & Qualifications

Educational Qualification:

Bachelor's degree in Business / Marketing.

Experience:

3-4 years of proven sales experience, preferably in real estate.

Key Skills:

o Excellent communication and interpersonal skills

o Strong negotiation and convincing abilities

o Self-motivated and target-driven mindset

o Ability to work independently and as part of a team

Additional Requirements:

o Valid driving license and willingness to travel for site visits

o Willingness to work on weekends

o Ability to handle multiple leads and prioritize effectively

Compensation & Benefits

Competitive salary as per industry standards

Attractive commission structure based on sales performance

Opportunities for career growth and professional development

Be part of dynamic and fast paced team

Job Title: Sr. / Quality Assurance Engineer – LOS/LMS

Location: Mumbai (Chembur)

Company: KreditVenture

CTC: Up to ₹8.5 LPA

Working Mode: Full-Time

Experience Required: 3–5 Years

Preference: Immediate Joiners or Candidates Serving Notice

Company Overview:

KreditVenture is a growing financial technology company focused on delivering innovative lending solutions. The organization develops and manages digital platforms for Loan Origination (LOS) and Loan Management Systems (LMS), targeting products such as Loan Against Property (LAP) and Commercial Vehicle Loans.

Job Summary:

We are looking for a Quality Assurance Engineer with experience in Loan Origination Systems (LOS) and Loan Management Systems (LMS) to test and ensure high-quality software delivery across the lending lifecycle. The ideal candidate will have hands-on experience in functional testing, especially in financial services or lending platforms, and will ensure systems comply with regulatory standards and business needs.

Key Responsibilities:

Functional Testing

• Design and execute test cases for LOS and LMS functionalities
• Perform end-to-end testing of loan lifecycle: application → underwriting → disbursement → servicing → closure
• Validate calculations for interest rates, EMIs, fees, and schedules

Test Case Development & Execution

• Develop test scripts/scenarios for LAP and CV loans
• Execute and maintain manual and regression tests

Defect Tracking

• Log, track, and retest bugs using tools like JIRA or Bugzilla
• Collaborate with developers to ensure resolution and closure of defects

Stakeholder Collaboration

• Work with Business Analysts, Developers, and Product Managers
• Participate in sprint planning and requirement reviews

Compliance Testing

• Ensure system compliance with financial regulations, disclosures, and reporting standards

Reporting & Documentation

• Prepare test reports, defect logs, test coverage, and documentation for knowledge sharing

UAT Support

• Assist in User Acceptance Testing (UAT) and help validate business readiness

Required Skills & Qualifications:

Education:

• Bachelor’s degree in Computer Science, Information Technology, Finance, or equivalent

Experience:

• 3–5 years of experience in functional testing, especially in lending/loan systems
• Strong knowledge of Loan Against Property (LAP) and Commercial Vehicle Loans

Technical Skills:

• Hands-on experience with testing tools: JIRA, TestRail, Selenium, HP ALM, QTest
• Working knowledge of SQL for database validation
• Understanding of LOS/LMS architecture and APIs

Testing Methodologies:

• Strong experience with Functional, Regression, Integration, and UAT Testing
• Familiarity with Agile/Scrum and SDLC best practices

Soft Skills:

• Strong attention to detail, communication, and time management
• Collaborative team player with problem-solving mindset

Preferred Certifications (Optional):

• ISTQB or equivalent testing certifications
• Certifications in finance, banking, or loan platforms are a plus

Why Join KreditVenture?

• Join a mission-driven company focused on financial inclusion and innovation
• Work on cutting-edge digital lending platforms with real-world impact
• Career growth and professional development opportunities

Role Overview

We're looking for a highly motivated AI Intern to join our dynamic team. This isn't your average internship; you'll be diving headfirst into the exciting world of Natural Language Processing (NLP) and Large Language Models (LLMs). You will work on real-world projects, contributing directly to our core products by researching, developing, and fine-tuning state-of-the-art language models. If you're passionate about making machines understand and generate human language, this is the perfect role for you!

Skills Needed:

1. Python
2. ML
3. NLP
4. LLM Fine-Tuning
5. Fast API

What You'll Do (Key Responsibilities)

Develop & Implement LLM Models: Assist in building and deploying LLM solutions for tasks like sentiment analysis, text summarization, named entity recognition (NER), and question-answering.

Fine-Tune LLMs: Work hands-on with pre-trained Large Language Models (like Llama, GPT, BERT) and fine-tune them on our custom datasets to enhance performance for specific tasks.

Data Pipeline Management: Be responsible for data preprocessing, cleaning, and augmentation to create high-quality datasets for training and evaluation.

Experiment & Evaluate: Research and experiment with different model architectures and fine-tuning strategies (e.g., LoRA, QLoRA) to optimize for accuracy, speed, and cost.

Collaborate & Document: Work closely with our senior ML engineers and data scientists, actively participating in code reviews and clearly documenting your findings and methodologies.

Must-Have Skills (Qualifications)

Strong Python Proficiency: You live and breathe Python and are comfortable with its data science ecosystem (Pandas, NumPy, Scikit-learn).

Solid ML & NLP Fundamentals: A strong theoretical understanding of machine learning algorithms, deep learning concepts, and core NLP techniques (e.g., tokenization, embeddings, attention mechanisms).

Deep Learning Frameworks: Hands-on experience with either PyTorch or TensorFlow.

Familiarity with LLMs: You understand the basics of transformer architecture and have some exposure to working with or fine-tuning Large Language Models.

Problem-Solving Mindset: An analytical and curious approach to tackling complex challenges.

Educational Background: Currently pursuing or recently graduated with a degree in Computer Science, AI, Data Science, or a related technical field.

Brownie Points For (Preferred Skills)

Experience with the Hugging Face ecosystem (Transformers, Datasets, Tokenizers).

A portfolio of personal or academic projects on GitHub showcasing your AI/ML skills.

Familiarity with vector databases (e.g., Pinecone, ChromaDB).

Description: 

 4+ Years of experience in systems development and Guidewire Billing experience. 

 4+ years of technical experience in enterprise-level application design, execution, and software deployments. 

 Hands-on development expertise on Guidewire BillingCenter with configuration. 

 Configure business rules and other business logic in Gosu. 

 Design and code integration components including plug-ins and programs that call the GW APIs Create form and letter templates and their supporting XML descriptor files. 

 Skilled in the use of applicable programming languages for the areas of developing code for, to include but are not limited to Java, SQL etc. 

 Experience leveraging source code management, such as GitHub or Bitbucket. 

 Supports production deployments and automation, actively lead monitoring, job control, and production support, and participates in and provides support for production issues related to the Guidewire solution. 

 Expertise configuring and developing several areas of BillingCenter including but not limited to Account/Policy/Producer Handling, Various Plan Types, Billing Instructions, Charges, Charge Patterns, Charge Invoicing, Invoice Items, Direct/List/Agency Bill Processing, Premium Reporting, Holds and writeoffs, Handling of Trouble Tickets/ Collaterals and Return Premium, Funds Tracking and Contacts. 

 Well versed with all Guidewire Billing center configuration areas like PCF, Gosu, Business Rules, Invoicing, Billing Types, Charge Distributions, Payments, Delinquency process, Commissions, etc. 

 Robust understanding of BillingCenter DataModel 

Education: 

 BE/B.Tech, BCA, B.SE, MCA, MBA / Any Graduate/Any Post Graduate

This requirement is for FENFEO Automation Private Limited which is into futuristic automobile technology. The incumbent supports the IT division in developing/maintaining  software tool that integrates the power source, mobile app and web application. He will be part of a team of 4 to 5 software developers to start with.

Basic Requirements:

* Bachelors/Masters in an accredited Engineering/Technology curriculum. BCA/MCA candidate are also considered.

* Must be Self-initiating, Good communication, Interpersonal and Organizational skills.

* Technical Skill Set:       Java, Angular, MySQL, RESTful API development.

* Total Experience:          2 to 3 years of Relevant experience.

* Job Location:                 Post Pandemic, the work location will be Chennai.

* CTC:                                 Rs. 5,00,000/- to Rs. 6,00,000/- per year.

Senior Data Engineer

Responsibilities:

●      Clean, prepare and optimize data at scale for ingestion and consumption by machine learning models

●      Drive the implementation of new data management projects and re-structure of the current data architecture

●      Implement complex automated workflows and routines using workflow scheduling tools 

●      Build continuous integration, test-driven development and production deployment frameworks

●      Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards 

●      Anticipate, identify and solve issues concerning data management to improve data quality

●      Design and build reusable components, frameworks and libraries at scale to support machine learning products 

●      Design and implement product features in collaboration with business and Technology stakeholders 

●      Analyze and profile data for the purpose of designing scalable solutions 

●      Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues

●      Mentor and develop other data engineers in adopting best practices 

●      Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders

Qualifications:

●      8+ years of experience developing scalable Big Data applications or solutions on distributed platforms

●      Experience in Google Cloud Platform (GCP) and good to have other cloud platform tools

●      Experience working with Data warehousing tools, including DynamoDB, SQL, and Snowflake

●      Experience architecting data products in Streaming, Serverless and Microservices Architecture and platform.

●      Experience with Spark (Scala/Python/Java) and Kafka

●      Work experience with using Databricks (Data Engineering and Delta Lake components) 

●      Experience working with Big Data platforms, including Dataproc, Data Bricks etc

●      Experience working with distributed technology tools including Spark, Presto, Databricks, Airflow

●      Working knowledge of Data warehousing, Data modeling

●      Experience working in Agile and Scrum development process

●      Bachelor's degree in Computer Science, Information Systems, Business, or other relevant subject area

Role:

Senior Data Engineer

Total No. of Years:

8+ years of relevant experience 

To be onboarded by:

Immediate

Notice Period:

Skills

Mandatory / Desirable

Min years (Project Exp)

Max years (Project Exp)

GCP Exposure 

Mandatory Min 3 to 7

BigQuery, Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep .Spark and PySpark

Mandatory Min 5 to 9

Relational SQL

Mandatory Min 4 to 8

Shell scripting language 

Mandatory Min 4 to 8

Python /scala language 

Mandatory Min 4 to 8

Airflow/Kubeflow workflow scheduling tool 

Mandatory Min 3 to 7

Kubernetes

Desirable 1 to 6

Scala

Mandatory Min 2 to 6

Databricks

Desirable Min 1 to 6

Google Cloud Functions

Mandatory Min 2 to 6

GitHub source control tool 

Mandatory Min 4 to 8

Machine Learning

Desirable 1 to 6

Deep Learning

Desirable Min 1to 6

Data structures and algorithms

Mandatory Min 4 to 8

Need to use behavioral science, Gamification, virality, human-centered design methodologies and entertainment-based techniques to motivate people to take action. 

◆ BEHAVIOR DESIGN – applying behavior science and psychology to program and digital/app design, UX, message framing, gamification and behavioral economics-based "nudges" that influence behaviors  

◆ PERSUASIVE COMMUNICATIONS – devising copy that leads to action for marketing materials, brand names, websites, apps, video scripts and more  

◆ TRANSMEDIA STORYTELLING – working across media with a research-proven approach to craft stories, comics and educational games about your issue that lead to behavior change

  ◆ STRATEGY DEVELOPMENT – clarifying goals and objectives, segmenting the audience and their needs, specifying the marketing mix, crafting program design, branding and messaging  

◆ FORMATIVE RESEARCH – understanding your priority audiences and the competitive environment in which the program will be carried out, through methods like surveys, interviews, focus groups, social media analysis and ethnography  

◆ EVALUATION – designing an evaluation plan, setting up metrics and tracking mechanisms, conducting research, and providing results and recommendations in action-focused reports

• Strong object oriented concepts. Experience in structure object oriented modelling with preferred expertise in using tools like Enterprise Architect or similar. Experience in working with TOGAF standards is preferred.
• Experience in architecting the technical scale and scope of high volume, scalable enterprise software solutions including logical and physical landscape requirements with specific attention to design, development, and deployment strategies
• Capability to adapt, learn and work with multiple technology platforms. 
• Knowledge in Application Security including Information security principles & realization, OWASP & PCI DSS Compliance ( Security Design & Technology Skills )
• In depth knowledge and experience in large scale database management, data modelling and database design in RDBMS and NoSQL.
• Experience in recommending and implementing DevOps tools for enterprise projects.
• Capability to evaluate tools, technologies and processes, including assessing their strategic benefit in the solution.
• Willingness to work hands-on with engineers to review, troubleshoot coding problems quickly and efficiently.
• Expertise in following technologies – ASP.Net MVC, Web API, ASP.Net Core, Entity Framework, Entity Framework Core, ASP.Net Identity, REST
• Experience in implementing various application deployment models and monitoring the server infrastructure using industry standard tools.
• Experience in docker based deployment models.
• Experience in architecting, developing and deploying cloud based (One or more among AWS, Azure, Google Cloud) enterprise solutions.
• Experience in designing and developing micro-services based applications. 
• Experience in designing and developing solutions with TDD (Test Driven Development)