It is a marketplace that connects the hiring needs of companies ranging from startups to MNCs with consultants who fulfill them i.e we are an aggregator between the clients and the consultants. With a staff strength of 50-100 employees, we handle requirements for marketing, sales, IT, e-commerce, BFSI, etc. the company boasts of young and dynamic employees, free work environment, weekends off, a movie every month and regular fun and game sessions.
Responsibilities-
Lead generation, Prospecting, Client Acquisition, Negotiation, Closure, Client servicing, Cross Selling and Client Retention.
Managing corporate clients with an enhanced business portfolio.
Making presentations to clients with a precise display of their visibility when placed in the online space.
Designing email campaigns to spread awareness of new products launched.
Prospecting/Providing standard and customized solutions to Clients across domains/segments
Handling tough negotiations/closing deals
Consistency in achieving the sales targets assigned
Setting and managing client expectations
Managing client relationships/Up selling and Cross Selling.
Meeting the weekly, monthly and quarterly targets and generate revenue for the organisation.
To maximise market share and client preference in the assigned market through high quality servicing.
Generates own business leads, business planning/sales planning.
Ensures a customer on boarding process is fast and smooth.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Machine Learning (ML)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:
- Python
- ML
- NLP
- LLM Fine-Tuning
- 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).
Must Have Skills:
- Solid Knowledge on DWH, ETL and Big Data Concepts
- Excellent SQL Skills (With knowledge of SQL Analytics Functions)
- Working Experience on any ETL tool i.e. SSIS / Informatica
- Working Experience on any Azure or AWS Big Data Tools.
- Experience on Implementing Data Jobs (Batch / Real time Streaming)
- Excellent written and verbal communication skills in English, Self-motivated with strong sense of ownership and Ready to learn new tools and technologies
Preferred Skills:
- Experience on Py-Spark / Spark SQL
- AWS Data Tools (AWS Glue, AWS Athena)
- Azure Data Tools (Azure Databricks, Azure Data Factory)
Other Skills:
- Knowledge about Azure Blob, Azure File Storage, AWS S3, Elastic Search / Redis Search
- Knowledge on domain/function (across pricing, promotions and assortment).
- Implementation Experience on Schema and Data Validator framework (Python / Java / SQL),
- Knowledge on DQS and MDM.
Key Responsibilities:
- Independently work on ETL / DWH / Big data Projects
- Gather and process raw data at scale.
- Design and develop data applications using selected tools and frameworks as required and requested.
- Read, extract, transform, stage and load data to selected tools and frameworks as required and requested.
- Perform tasks such as writing scripts, web scraping, calling APIs, write SQL queries, etc.
- Work closely with the engineering team to integrate your work into our production systems.
- Process unstructured data into a form suitable for analysis.
- Analyse processed data.
- Support business decisions with ad hoc analysis as needed.
- Monitoring data performance and modifying infrastructure as needed.
Responsibility: Smart Resource, having excellent communication skills
Job Title: Structured Finance Analyst – Energy Transition at AI Platform
Responsibilities:
- Conduct thorough pre-closing due diligence on structured finance deals, including project finance, securitization, and asset-backed lending in energy transition sectors (solar, wind, battery storage, EV infrastructure).
- Analyze credit structures, collateral quality, and cash flow modeling to independently validate underwriting assumptions and identify key risks.
- Prepare detailed investment analysis reports benchmarking AI-driven diligence results against manual underwriting.
- Collaborate closely with AI engineering teams to refine the underwriting platform through continuous feedback on accuracy, coverage gaps, and improvement opportunities.
- Stay abreast of market developments, regulatory changes, and emerging trends in structured finance and renewable energy project finance.
- Participate actively in transaction discussions, providing insightful analysis and contributing to decision-making processes.
Qualifications:
- Minimum 2 years of structured finance experience from an investment bank, rating agency, private credit fund, or fintech lender specializing in structured products.
- Demonstrable experience in analyzing structured finance products, including ABS, project finance, or infrastructure debt.
- Strong proficiency in Excel modeling, cash flow analysis, and scenario testing.
- Understanding of credit risk assessment, collateral valuation methodologes, and deal structuring principles.
- Bachelor’s degree in finance, economics, engineering, or a closely related field; CFA Level I or higher preferred.
- Excellent communication skills, both written and verbal, with the ability to clearly articulate complex financial concepts.
Ideal Candidate Profile:
- A structured finance analyst currently working at a bank, rating agency, or fintech lender seeking a dynamic, innovative environment that leverages cutting-edge technology.
- Demonstrated success in independently conducting deal diligence comparable to an experienced third-year analyst at a top-tier firm.
- Highly analytical, detail-oriented, with intellectual curiosity and passion for energy transition financing.
- Entrepreneurial mindset with adaptability to thrive in a fast-paced, high-growth startup environment.
- Interested in leveraging their structured finance skills to directly impact the growth and accuracy of an AI-driven investment diligence platform.
NodeJS (Node.js)
MongoDB
ExpressAt least 3 years' experience as a Node.js developer.
Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.
Mandatory experience in MongoDB and MySql.
Knowledge of front-end technologies such as HTML5 and CSS3.
Superb interpersonal, communication, and collaboration skills.
Exceptional analytical and problem-solving aptitude.
Job Description:
- Configure and maintain database servers and processes
- Monitor the system's health and performance
- Ensure high levels of performance, availability, sustainability, and security
- Analyze, solve, and correct issues in real-time
- Provide suggestions for solutions
- Refine and automate regular processes, track issues, and document changes
- Assist developers with query tuning and schema refinement
- Provide on-call support for critical production systems
- Perform scheduled maintenance and support release deployment activities after hours
- Basic knowledge of SSRS, SSIS, and Postgres will be added advantage.
NodeJS (Node.js)
Angular (2+)
Javascript- Hands-on experience with Node JS and Angular (2+ years).
- Experience with popular frameworks like Express / Loopback.
- Creating and Integrating backend REST APIs
- Hands-on experience with any RDBMS systems.
- Passion about complex, interactive applications with a thoughtful UX/UI.
- Should be able to understand project requirements thoroughly.
- A deep understanding of the importance of building maintainable, efficient, clean code, while balancing the urgency of business needs.
- Collaborative attitude and experience working with cross-functional teams.
Responsibilities
- Responsible for driving & delivering web applications.
- Responsible for architecting, solutioning of the project in the requirement phase;
- Responsible for working with the team & enhancing the collaboration, adding value to the project with critical thinking on project design.
- Responsible for creating and integrating the REST APIs
Good to have
- Experience with AWS / Azure.
- Experience with CI/CD tools.
- Experience with any testing and automation frameworks.
Java
Job Description:
Mandatory Skills: Java, J2ee, spring, hibernate, spring mvc.
Preferred: Restful, microservices, spring boot.
Website: https://www.games24x7.com">https://www.games24x7.com
What you need to do:
- Preparing and maintaining financial records and financial statements of the company including, but not limited to, book-keeping and general entries
- Preparing reports for planning and to facilitate decision-making
- Preparing and involving in budget forecasts
- Being a part of handling monthly, quarterly and annual closings
- Reconciling accounts receivable and accounts payable
- Ensuring timely bank-related payments
- Calculating taxes and preparing tax returns
Desired Candidate Profile
What you need to have:- CA inter or CA final is preferred
- Work experience as an Accountant
- Must have strong knowledge and experience in Tally
- Must be willing to work from office and for 6-days a week
- Must have advanced MS Excel skills including Vlookups and pivot tables
- Strong attention to detail and good analytical skills
- Responding to internal and external inquiries on-time as communicated by the management
- Assisting in financial Audit and auditing vendors
- Identifying and communicating opportunities for improvement in-terms of methods and practices followed
- Communicating any technical issues related to accounting
Javascript
HTML/CSS
KotlinJava
Android Development
PHP
Laravel
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Full Stack Developer - Averlon