Business Development Executive

Location: Bangalore 

Key skills: Node.js, AWS, Express JS, MongoDb and MySQL   

Responsibilities: 

• Writing reusable, testable, and efficient code   
• Design and implementation of low-latency, high-availability, and performant applications  
• Implementation of security and data protection   
• Collaborate with internal teams to identify system requirements.   
• Follow security principles.   
• Produce fully functional programs writing clean, testable code.   

Must Haves: 

• Strong proficiency with JavaScript.   
• Knowledge of Node.js and frameworks such as Express, Meteor or Fastify.  
• Understanding the nature of asynchronous programming and its quirks and workarounds 
• Knowledge of Git, JIRA, etc.   
• User authentication and authorization between multiple systems, servers, and environments  
• Understanding fundamental design principles behind a scalable application  
• Creating database schemas that represent and support business processes  
• Experience with NoSQL and SQL databases such as MongoDB and PostgreSQL 
• Knowledge on tools like docker, kafka, elastic search and jenkins 

About the Company:

Pace Wisdom Solutions is a deep-tech Product engineering and consulting firm. We have offices in San Francisco, Bengaluru, and Singapore. We specialize in designing and developing bespoke software solutions that cater to solving niche business problems.

We engage with our clients at various stages:

• Right from the idea stage to scope out business requirements.

• Design & architect the right solution and define tangible milestones.

• Setup dedicated and on-demand tech teams for agile delivery.

• Take accountability for successful deployments to ensure efficient go-to-market implementations.

Pace Wisdom has been working with Fortune 500 Enterprises and growth-stage startups/SMEs since 2012. We also work as an extended Tech team and at times we have played the role of a Virtual CTO too. We believe in building lasting relationships and providing value-add every time and going beyond business

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

Designation – Deputy Manager - TS

Job Description

1. Total of  8/9 years of development experience Data Engineering . B1/BII role
2. Minimum of 4/5 years in AWS Data Integrations and should be very good on Data modelling skills.
3. Should be very proficient in end to end AWS Data solution design, that not only includes strong data ingestion, integrations (both Data @ rest and Data in Motion) skills but also complete DevOps knowledge.
4. Should have experience in delivering at least 4 Data Warehouse or Data Lake Solutions on AWS.
5. Should be very strong experience on Glue, Lambda, Data Pipeline, Step functions, RDS, CloudFormation etc.
6. Strong Python skill .
7. Should be an expert in Cloud design principles, Performance tuning and cost modelling. AWS certifications will have an added advantage
8. Should be a team player with Excellent communication and should be able to manage his work independently with minimal or no supervision.
9. Life Science & Healthcare domain background will be a plus

Qualifications

BE/Btect/ME/MTech

Responsibilities:

• Collaborating with data scientists and machine learning engineers to understand their requirements and design scalable, reliable, and efficient machine learning platform solutions.
• Building and maintaining the applications and infrastructure to support end-to-end machine learning workflows, including inference and continual training.
• Developing systems for the definition deployment and operation of the different phases of the machine learning and data life cycles.
• Working within Kubernetes to orchestrate and manage containers, ensuring high availability and fault tolerance of applications.
• Documenting the platform's best practices, guidelines, and standard operating procedures and contributing to knowledge sharing within the team.

Requirements:

• 3+ years of hands-on experience in developing and managing machine learning or data platforms
• Proficiency in programming languages commonly used in machine learning and data applications such as Python, Rust, Bash, Go
• Experience with containerization technologies, such as Docker, and container orchestration platforms like Kubernetes.
• Familiarity with CI/CD pipelines for automated model training and deployment. Basic understanding of DevOps principles and practices.
• Knowledge of data storage solutions and database technologies commonly used in machine learning and data workflows.

Hi All,

Greetings from LMV Group

We are hiring  Female Telecallers

Education - Any graduate fresher is eligible

Age limit - 18 TO 28 years

Experience required - Fresher 0 to 6 months is required

Languages known - Telugu, English

candidate must have good communication skills.

About the role: Business Executive Development will be responsible for driving company sales by sourcing new clients, and by convincing existing clients to purchase added offerings. As such, business development executives play an integral role in companies' longevity.

Responsibilities:

• Developing and executing sales plans to meet and exceed monthly and quarterly sales goals
• Identifying new revenue opportunities
• Assisting with marketing and promotional projects
• Negotiating with clients to secure the most attractive prices
• Attending networking activities to research and connect with prospective clients.

Requirements:

• Great networking skills.
• Ability to create actionable marketing strategies
• Leadership and strong communication skills
• Strong customer service skills

• 6 to 8 years of experience with the majority as Java engineer
• Strong hands-on experience on building the application using technologies Java, Spring/Springboot/Microservices
• Experience in building Micro Services using Spring Boot would be a plus
• Strong knowledge and experience with SQL queries and databases like Postgre SQL/Oracle.