IT Sales Executive

Data Engineer – Validation & Quality

Responsibilities

• Build rule-based and statistical validation frameworks using Pandas / NumPy.
• Implement contradiction detection, reconciliation, and anomaly flagging.
• Design and compute confidence metrics for each evidence record.
• Automate schema compliance, sampling, and checksum verification across data sources.
• Collaborate with the Kernel to embed validation results into every output artifact.

Requirements

• 5 + years in data engineering, data quality, or MLOps validation.
• Strong SQL optimization and ETL background.
• Familiarity with data lineage, DQ frameworks, and regulatory standards (SOC 2 / GDPR).

Job Title: Salesforce Developer

Location: Noida, India

Type: Full-time | On-site

Experience Required: 4 to 8 Year

Key skills required:

The candidate must have very strong coding skills and must have worked on lightning component development and Integrations along with Service Cloud.

The candidate should have good communication skills.

Note: We are looking for immediate joiners with 6+ years of experience.

Job Description

UnicornisAI is seeking a Senior Data Scientist with expertise in chatbot development using Retrieval-Augmented Generation (RAG) and OpenAI. This role is ideal for someone with a strong background in machine learning, natural language processing (NLP), and AI model deployment. If you are passionate about developing cutting-edge AI-driven solutions, we’d love to have you on our team.

Key Responsibilities

- Design and develop AI-powered chatbots using Retrieval-Augmented Generation (RAG), OpenAI models (GPT-4, etc.), and vector databases

- Build and fine-tune large language models (LLMs) to improve chatbot performance

- Implement document retrieval and knowledge management systems for chatbot responses

- Optimize NLP pipelines and model performance using state-of-the-art techniques

- Work with structured and unstructured data to enhance chatbot intelligence

- Deploy and maintain AI models in cloud environments such as AWS, Azure, or GCP

- Collaborate with engineering teams to integrate AI solutions into products

- Stay updated with the latest advancements in AI, NLP, and RAG-based architectures

Required Skills & Qualifications

- 6+ years of experience in data science, AI, or a related field

- Strong knowledge of RAG, OpenAI APIs (GPT-4, GPT-3.5, etc.), LLM fine-tuning, and embeddings

- Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks

- Experience with vector databases such as FAISS, Pinecone, or Weaviate

- Expertise in NLP techniques such as Named Entity Recognition (NER), text summarization, and semantic search

- Hands-on experience in building and deploying AI models in production

- Knowledge of cloud platforms like AWS Sagemaker, Azure AI, or Google Vertex AI

- Strong problem-solving and analytical skills

Nice-to-Have Skills

- Experience with MLOps tools for model monitoring and retraining

- Understanding of prompt engineering and LLM chaining techniques

- Exposure to LangChain or similar frameworks for RAG-based chatbots

Location & Work Mode

- Open to remote or hybrid work, based on location

Interested candidates can email their resumes to Sachin at unicornisai.com

About CredFlow :

Imagine a business- always stressed with increasing outstanding dues in the market, pressure from vendors and other creditors to pay off debts, managing operations, sourcing material and the list is endless! Now imagine the plight of millions of such businesses globally.

At CredFlow, we are solving SMEs' most pressing problem of cash flow management. We are a full-stack cash flow management solution automating accounts receivables and building multiple stacks of financial solutions on top of that. We have seen pretty good traction in the past few months, achieved product-market fit and are scaling fast. We already have more than 30 Lakh businesses on the CredFlow network and more than $70 billion worth of invoices on the platform.

Above all, we have a gold mine waiting to be unlocked - the humongous amount of financial data flowing through our servers! 

In 2021 we raised a 2.1 million $ seed round from marquee VC Funds. We have recently raised $7 million in Series A from marquee VC Funds.

Company Website Link: https://credflow.in/about%20us.html

Role Title: Business Development Executive – Inside Sales

Process: Revenue generation, cold calling, B2B sales, Product demo.

Work Days: 6 days per week

Job Location: Noida

Office Hours: Work from office (10 AM to 7 PM)

Key Responsibilities:

● Reach out to warm leads on call and schedule product demos.

● Understand customer needs and requirements.

● Share product quotation and close the sale

● Maintain relationships with the customers.

● Get customer referrals from existing paid users.

● Provide after-sale support.

● Share weekly and monthly Sales Forecasts of probable conversion.

● Share product feedback to the product management team.

Skills and Background:

● Excellent communication skills

● Prior sales experience is preferred.

● Good Logical and Analytical skills.

● Smart and Collaborative team

● Best in the market Incentive Structure.

● Early-Stage startup experience.

● Graduate/Postgraduate

Role/ Responsibilities

• Design APIs, DB, Queues, monitoring for micro services. 
• Writing, deploying and managing micro services. 
• Migrate existing components into distributed micro service architecture. 
• AWS Cloud / Google Cloud Platform (Manage Infrastructure). 
• API integration with 3rd parties. 
• Unit test cases, automation. 
• Database optimisation. 
• Design of highly concurrent backend architecture. 
• Handling high traffic data. 

Experience required: 

• Sound fundamentails in software design. 
• Must have worked on distributed and micro service architecture. 
• Sound fundamentals on scale/ performance/ memory optimisation. 
• Sound fundamentals of authentication, authorization, payment processes, data security. 
• Must have experience in Spring / Spring boot. 
• Good to have experience in Kafka / JMS / RabbitMQ / AWS Elastic queue. 
• Good to have experience in Junit / mockito unit test cases. 
• Good to have knowledge in Mysql (or any RDBMS). 

• Azure Devops - Working experience in Azure yaml pipelines. (Note – Some say they worked in yaml but it’s for Jenkins and not Azure devops)
• Azure – Infrastructure automation using Terraform/ARM templates. (Note – Some say that they worked in terraform but it’s for AWS and not Azure). Please confirm Terraform for Azure infrastructure automation.
• Powershell scripting to automate and deploy .Net applications.

• Work with clients and end-users to gather, understand, and define business requirements
• Should have Experienced in a Salesforce implementation through the full Software Development Lifecycle
• Develop user stories and to-be process flows to support the design and development of Salesforce solutions for our clients
• Work collaboratively with team members to design a solution that will meet a client's business requirements and fulfill user stories.
• Collaborate with developers to test and verify that solutions will meet the business requirements
• Participate in key meetings with clients and should have prior experience of working with them on-site including requirement sessions, system demos, user acceptance testing, and end-user training.
• Salesforce Admin Certification and one Consulting Cloud Certification (Sales, Service, or Community.
• In this role, the analyst is expected to have exemplary communication and documentation skills.
• Constructs forecasts, recommendations, and document Business Related Document based on business data and Salesforce knowledge