HR Operations Intern

Key Responsibilities

• Generate, qualify, and engage leads using relevant lead generation tools and

social selling techniques.

• Build, maintain, and manage a strong sales pipeline.

• Conduct product demos and respond to sales inquiries effectively.

• Meet or exceed monthly and quarterly revenue and conversion targets.

• Collaborate with the sales and marketing teams to improve lead quality and

conversion processes.

• Maintain updated records of leads, conversations, and outcomes in CRM tools.

• Provide a customer-centric experience and maintain strong relationships with

prospects.

• Demonstrate ownership, self-drive, and a proactive approach to achieving goals.

• Required Skills & Competencies

• Knowledge of lead generation tools and social selling strategies.

• Strong communication and persuasion skills.

• Ability to handle product demos confidently.

• Target-oriented with a high sense of accountability.

• Self-motivated and able to work independently.

• Customer-first mindset.

Role Overview

We are looking for a highly skilled and intellectually curious Senior Data Scientist with 7+ years of experience in applying advanced machine learning and AI techniques to solve complex business problems. The ideal candidate will have deep expertise in Classical Machine Learning, Deep Learning, Natural Language Processing (NLP), and Generative AI (GenAI), along with strong hands-on coding skills and a proven track record of delivering impactful data science solutions. This role requires a blend of technical excellence, business acumen, and collaborative mindset.

Key Responsibilities

• Design, develop, and deploy ML models using classical algorithms (e.g., regression, decision trees, ensemble methods) and deep learning architectures (CNNs, RNNs, Transformers).
• Build NLP solutions for tasks such as text classification, entity recognition, summarization, and conversational AI.
• Develop and fine-tune GenAI models for use cases like content generation, code synthesis, and personalization.
• Architect and implement Retrieval-Augmented Generation (RAG) systems for enhanced contextual AI applications.
• Collaborate with data engineers to build scalable data pipelines and feature stores.
• Perform advanced feature engineering and selection to improve model accuracy and robustness.
• Work with large-scale structured and unstructured datasets using distributed computing frameworks.
• Translate business problems into data science solutions and communicate findings to stakeholders.
• Present insights and recommendations through compelling storytelling and visualization.
• Mentor junior data scientists and contribute to internal knowledge sharing and innovation.

Required Qualifications

• 7+ years of experience in data science, machine learning, and AI.
• Strong academic background in Computer Science, Statistics, Mathematics, or related field (Master’s or PhD preferred).
• Proficiency in Python, SQL, and ML libraries (scikit-learn, TensorFlow, PyTorch, Hugging Face).
• Experience with NLP and GenAI tools (e.g., Azure AI Foundry, Azure AI studio, GPT, LLaMA, LangChain).
• Hands-on experience with Retrieval-Augmented Generation (RAG) systems and vector databases.
• Familiarity with cloud platforms (Azure preferred, AWS/GCP acceptable) and MLOps tools (MLflow, Airflow, Kubeflow).
• Solid understanding of data structures, algorithms, and software engineering principles.
• Experience with Aure, Azure Copilot Studio, Azure Cognitive Services
• Experience with Azure AI Foundry would be a strong added advantage

Preferred Skills

• Exposure to LLM fine-tuning, prompt engineering, and GenAI safety frameworks.
• Experience in domains such as finance, healthcare, retail, or enterprise SaaS.
• Contributions to open-source projects, publications, or patents in AI/ML.

Soft Skills

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder engagement abilities.
• Ability to work independently and collaboratively in cross-functional teams.
• Passion for continuous learning and innovation.

Job description

·       Fixing Appointments for Sales Represents across locations/States 

·       Achieve monthly quotas 

·       Source new sales opportunities through inbound lead follow-up and outbound cold calls 

·       Doing DRs (Deal Registrations) across the vendor/OEM Platforms 

·       Managing the complete Training & Educational Competencies based on the Training calendar, assigning & Co-ordinating with Sales , Pre-Sales , Technical and OEM Teams 

·       Route qualified opportunities to the appropriate sales executives for further development and closure 

·       Receiving, delegating & preparation of the daily reports on the leads generated across various channels like Website , India Mart & Just Dial etc.. 

·       Understand customer needs and requirements 

·       Research accounts, identify key players and generate interest 

·       Maintain and expand your database of prospects 

·       Team with field Sales executives to build pipeline and close deals. 

Desired Skills and Experience: 

· Proven inside sales experience 

· Track record of over-achieving quota 

· Strong phone presence and experience dialing dozens of calls per day 

· Experience working with any CRM 

· Excellent verbal and written communications skills 

· Strong listening and convincing skills 

· Ability to multi-task, prioritize and manage time effectively 

Role: Technical Consultant

Industry Type: IT Services & Consulting

Department: Consulting

Employment Type: Full Time, Permanent

Education

UG: Any Graduate

PG: Any Postgraduate

-The role which we are hiring is of Individual Contributor.

-Framework and principles of React Native

-Architecture patterns

-Redux

-IOS & Android

-Redux Saga.

-TypeScript/JavaScript

-Class/Functional Components

-Hooks

-NFRs(Accessibility, Unit test cases)

-Component Lifecycle events

-Knowledge of Flat list, Flexbox, UI creation

-High Order Components

-Security and Performance aspects

-Native bridging

-Code Push

-App Distribution and deployment

-SSL Pinning

-Navigation concepts

-Networking

Skills

Vue.JS Developer

1.   Should have worked in Agile methodology

2.   Should have at least 5+ years of experience

3.   Should have expertise in creating reusable components and coupling including routings

4.   Should have good knowledge of data visualization in Reports/Charts

Qualification: B.Sc computer science/IT or BCA AND M.Sc computer Science/IT or MCA

Experience: Freshers (preferred candidates residing in and around coimbatore - no hostel facility)

Thavathiru Santhalinga Adigalar Arts, Science & Tamil College (TSA Tamil College) is a renowned institution located in Perur, Coimbatore, Tamil Nadu.Established in 1953 by the historic Perur Aadheenam, the college was founded with the mission to promote Tamil language, culture, and holistic education among rural youth

 Sound Knowledge of Linux server and it commands 

 Strong Knowledge of shell scripting 

 Good understading in Relational databases(MYSQL etc.) 

 Skilled in formulating performant Relational database queries 

 Good in handling CSV/EXCEL data.

 Skilled to work in teams as well as independently 

Proficient in Java 8 Version, J2EE and related technologies.
• Experienced in using spring, Spring Boot, Hibernate, messaging systems.
• Good understanding of relational database performance concepts and usage of ORM frameworks such as Hibernate
• Expert understanding of the object-oriented design and programming concepts
• Strong working experience  on Data Structures, Algorithms and Collections.
• Solid experience building applications on top of RESTful APIs.
• Knowledge/experience with Spring MVC
• Stroing knowledge in developing and executing automated unit, functional and integration tests
• Good communication and analytical skills.
• Strong trouble shooting skills