Sales Manager - Client Acquisition

Sr. Account Executive

Key Responsibilities:

Accounting & Finance:

Handle day-to-day accounting entries in Tally ERP / Tally Prime

Manage Accounts Payable, Accounts Receivable, Bank Reconciliation

Maintain books of accounts, ledgers, and vouchers

Prepare monthly, quarterly, and yearly MIS reports

Assist in finalization of accounts and audit coordination

Payroll & Compliance:

Handle end-to-end payroll processing

Manage PF, ESIC, PT, LWF and other statutory compliances

Ensure timely filing of returns and challans

Handle Form 16, TDS returns, and salary-related reconciliations

Taxation:

Manage GST compliance: returns, reconciliations, notices, and audits

Handle TDS workings and filings (24Q, 26Q, etc.)

Coordinate with CA for Income Tax, GST, and Statutory Audits

Banking & Regulatory:

Handle bank-related work including:

APR, FLA, and other bank / RBI forms

Fund transfers, FD management, and documentation

Manage vendor and client payment cycles

US Accounting (Good to have):

Basic understanding of US accounting concepts

Exposure to invoicing, reconciliation, or bookkeeping for US clients is a plus

Required Skills & Tools:

Strong working knowledge of Tally ERP / Tally Prime

Good knowledge of GST, TDS, PF, ESIC, Payroll

Proficiency in Excel / Google Sheets

Good understanding of service-based accounting

Ability to coordinate with auditors, consultants, and banks

Good to Have:

Experience in an IT / Software / Service-based company

Knowledge of compliance calendars and audit processes

Basic understanding of US accounting

Ability to independently handle accounting operations

Audit/Books Finalization

TDS/PF/ESIC

GST

When life gives you lemons and you can code both front and back with equal zest, you’re probably a Full Stack Developer we’d love on our team.

At Lemon Yellow, we’re looking for someone who thrives on building end-to-end web solutions using the MERN stack. From crafting intuitive front-ends to developing efficient, scalable back-end systems, you’ll be involved in shaping digital products from the ground up. If turning design mockups into pixel-perfect, high-performance applications excites you, we’re ready to build with you.

1. Core Responsibilities

• Build and maintain end-to-end web applications using the MERN stack.
• Act as a bridge between design and development to bring ideas to life with clean, scalable code.
• Support digital campaigns through intuitive and functional tech implementations.
• Design, develop, and deploy scalable front-end and back-end components.
• Write clean, maintainable code while collaborating with designers, marketers, and other developers.
• Translate product requirements and UI/UX wireframes into fully functional digital solutions.

2. API & Integration Management

• Implement RESTful APIs and connect third-party tools and services.
• Ensure smooth data exchange across platforms through secure integrations.
• Manage user authentication and authorization using mechanisms like JWT or OAuth.

3. Code Quality & Optimization

• Debug, profile, and optimize applications for performance and reliability.
• Maintain unit and integration test coverage for code robustness.
• Conduct code reviews and help improve internal coding standards.

4. Agile Collaboration

• Actively participate in agile activities: daily stand-ups, sprint planning, retros, and demos.
• Contribute to task estimation and cross-functional problem-solving.
• Stay responsive to project shifts and quick delivery needs.

5. Continuous Learning & Innovation

• Stay up to date with the latest development trends, tools, and practices.
• Share learnings and explore creative solutions for technical challenges.
• Experiment with emerging technologies and suggest process improvements.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Minimum 1 year of hands-on experience building production-ready web applications using MongoDB, Express.js, React.js, and Node.js.
• Strong command of JavaScript (ES6+), HTML5, and CSS3.
• Experience with Git and version control systems
• Familiarity with RESTful API design, JSON, and authentication mechanisms (JWT, OAuth)
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker).
• Basic understanding of CI/CD pipelines and automated testing.
• Strong analytical and problem-solving mindset.
• Detail-oriented with a passion for clean, maintainable code.
• Collaborative attitude with good verbal and written communication skills.

What are we offering?

Experience

• A chance for you to work in a thriving and growing environment. We foster a culture where growth is harmonious and creativity is always appreciated - you grow and you encourage others to do the same.

Exposure

• If you believe in your work, we believe in you. If you think your designs have the power to change the world, we'll help you bring your vision to life and give you the platform to prove it.

Empathy

• We have a carefully curated culture that promotes 2 things: fun & fulfilment. Your welfare - personal, professional, mental, and physical - becomes our responsibility. From Fitness Thursdays to learning sessions, we try to make you laugh & learn.

Who are we?

Lemon Yellow LLP is a user-centered UI/UX design agency, based out of Thane, Maharashtra. With international operations, an experienced mentorship, and a passionate team, we aim to design digital happiness.

How do you reach us?

Well, after you send in your application, it takes us 2-3 weeks to review it. Sometimes, not often, we might delay just a bit beyond that. This happens when our mailbox is flooded with applications.

We promise we won’t ghost you, you’ll definitely hear from us. In the meantime, feel free to explore our official website.

Role: Data Scientist

Location: Bangalore (Remote)

Experience: 4 - 15 years

Skills Required - Radiology, visual images, text, classical model, LLM multi model, Primarily Generative AI, Prompt Engineering, Large Language Models, Speech & Text Domain AI, Python coding, AI Skills, Real world evidence, Healthcare domain

JOB DESCRIPTION

We are seeking an experienced Data Scientist with a proven track record in Machine Learning, Deep Learning, and a demonstrated focus on Large Language Models (LLMs) to join our cutting-edge Data Science team. You will play a pivotal role in developing and deploying innovative AI solutions that drive real-world impact to patients and healthcare providers.

Responsibilities

• LLM Development and Fine-tuning: fine-tune, customize, and adapt large language models (e.g., GPT, Llama2, Mistral, etc.) for specific business applications and NLP tasks such as text classification, named entity recognition, sentiment analysis, summarization, and question answering. Experience in other transformer-based NLP models such as BERT, etc. will be an added advantage.

• Data Engineering: collaborate with data engineers to develop efficient data pipelines, ensuring the quality and integrity of large-scale text datasets used for LLM training and fine-tuning

• Experimentation and Evaluation: develop rigorous experimentation frameworks to evaluate model performance, identify areas for improvement, and inform model selection. Experience in LLM testing frameworks such as TruLens will be an added advantage.

• Production Deployment: work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.

• Predictive Model Design and Implementation: leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models)

• Cross-functional Collaboration: partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions

• Knowledge Sharing: mentor junior team members and stay up to date with the latest advancements in machine learning and LLMs

Qualifications Required

• Doctoral or master’s degree in computer science, Data Science, Artificial Intelligence, or related field

• 5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models

• 12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).

• Experience working with cloud-based platforms (AWS, GCP, Azure)

Additional Skills

• Excellent problem-solving and analytical abilities

• Strong communication skills, both written and verbal

• Ability to thrive in a collaborative and fast-paced environment

1. Respond to customer inquiries and provide information about products and services.
2. Assist the sales team in preparing sales quotes.
3. Resolve customer complaints and issues, escalating them to the sales manager when necessary.
4. Prepare sales reports, presentations, and analysis as required by the sales manager.
5. Coordinate with the sales team for weekly meetings.
6. Provide regular updates to the sales manager on the progress of sales targets.
7. Maintain and update customer databases, sales records, and reports.
8. Monitor and track sales targets, quotas.

Qualifications : Graduation in any field

2-3 years of experience in sales or a similar role

• 1-5 years of experience in building and maintaining robust data pipelines, enriching data, low-latency/highly-performance data analytics applications.
• Experience handling complex, high volume, multi-dimensional data and architecting data products in streaming, serverless, and microservices-based Architecture and platform.
• Experience in Data warehousing, Data modeling, and Data architecture.
• Expert level proficiency with the relational and NoSQL databases.
• Expert level proficiency in Python, and PySpark.
• Familiarity with Big Data technologies and utilities (Spark, Hive, Kafka, Airflow).
• Familiarity with cloud services (preferable AWS)
• Familiarity with MLOps processes such as data labeling, model deployment, data-model feedback loop, data drift.

Key Roles/Responsibilities:

• Act as a technical leader for resolving problems, with both technical and non-technical audiences.
• Identifying and solving issues with data pipelines regarding consistency, integrity, and completeness.
• Lead data initiatives, architecture design discussions, and implementation of next-generation BI solutions.
• Partner with data scientists, tech architects to build advanced, scalable, efficient self-service BI infrastructure.
• Provide thought leadership and mentor data engineers in information presentation and delivery.

Recko Inc. is looking for a QA engineer to join our kick-ass engineering team. We are looking for smart, dynamic individuals to inspect and report on the quality of products through the entire production cycle.

About Recko:

Recko was founded in 2017 to organise the world’s transactional information and provide intelligent applications to finance and product teams to make sense of the vast amount of data available. With the proliferation of digital transactions over the past two decades, Enterprises, Banks and Financial institutions are finding it difficult to keep a track on the money flowing across their systems. With the Recko Platform, businesses can build, integrate and adapt innovative and complex financial use cases within the organization and  across external payment ecosystems with agility, confidence and at scale.  . Today, customer-obsessed brands such as Deliveroo, Meesho, Grofers, Dunzo, Acommerce, etc use Recko so their finance teams can optimize resources with automation and prioritize growth over repetitive and time-consuming tasks around day-to-day operations. 

Recko is a Series A funded startup, backed by marquee investors like Vertex Ventures, Prime Venture Partners and Locus Ventures. Traditionally enterprise software is always built around functionality. We believe software is an extension of one’s capability, and it should be delightful and fun to use.

Working at Recko:

We believe that great companies are built by amazing people. At Recko, We are a group of young Engineers, Product Managers, Analysts and Business folks who are on a mission to bring consumer tech DNA to enterprise fintech applications. The current team at Recko is 60+ members strong with stellar experience across fintech, e-commerce, digital domains at companies like Flipkart, PhonePe, Ola Money, Belong, Razorpay, Grofers, Jio, Oracle etc. We are growing aggressively across verticals.

About the Role:

What are we looking for:

1. Strong understanding of Software Testing methodologies and Test design with Saas apps
2. 2+ years of experience in Manual  testing on Web using Postman, Jira or similar tools
3. Excellent communication and documentation skills with a strong attention to detail
4. Good understanding of Python / JavaScript and  Linux commands, SQL Databases
5. Good to have: Knowledge of performance and security testing, understanding of Jenkins, Kibana, Git, JMeter and hands-on experience with JUnit, Mocha (JavaScript), Any JavaScript e2e testing framework
6. Ability to interact with folks internally and externally to gather insights and handle multiple activities at once
7. Ability to think strategically and implement with excellence
8. A growth mindset and passionate about building things from the ground up, and most importantly, you should be fun to work with

As a test engineer at Recko, you will:

1. Test and prove that the software meets major architectural requirements while ensuring  the quality of the system as a whole 
2. Prove for scalability and performance of a software while running quality controls on components and final products
3. Develop and automate tests for software validation
4. Detect, investigate and troubleshoot bug and production issues
5. Analyze current technologies used within the company and develop steps and processes to improve testing procedures
6. Assist other department engineers in creating practical demonstrations of proposed solutions and demonstrating them to other members of the team
7. Gather product requirements (e.g. functionalities, speed, safety standards), 
8. Develop test plan, test scenarios and test cases and analyze the test results, detect issues and track root causes
9. Document technical issues and solutions as well as prepare file defect reports and report test progress