Travel Sales Consultant

About SkillSecureX

SkillSecureX is a technology-focused platform dedicated to providing practical learning opportunities and industry-oriented exposure in Data Science, Artificial Intelligence, Machine Learning, Web Development, and emerging technologies. Our goal is to help students and freshers gain real-world experience through project-based internships and hands-on learning.

About the Internship

We are looking for enthusiastic and motivated candidates for the role of Data Science with AI Intern. This internship is designed for students, freshers, and aspiring data professionals who want to build practical skills in Data Science, Artificial Intelligence, data analysis, and machine learning technologies.

Interns will work on real-world datasets, AI-based projects, and practical assignments while learning industry-relevant tools and workflows under mentorship.

Roles & Responsibilities

• Work on data collection, cleaning, and preprocessing

• Analyze datasets and generate meaningful insights

• Assist in developing AI and Machine Learning models

• Create reports, dashboards, and data visualizations

• Work with Python libraries and data science tools

• Participate in project discussions and team collaboration

• Support research and development activities related to AI solutions

Required Skills

• Basic understanding of Python programming

• Interest in Data Science and Artificial Intelligence

• Familiarity with Excel, statistics, or data analysis concepts is a plus

• Knowledge of Machine Learning basics is beneficial

• Strong analytical and problem-solving skills

• Willingness to learn and work on practical projects

Eligibility

• Students pursuing graduation or post-graduation

• Freshers interested in Data Science and AI

• Candidates looking to gain practical industry experience

Perks & Benefits

• Internship Completion Certificate

• Hands-on experience on practical projects

• Flexible remote working environment

• Mentorship and industry-oriented learning

• Opportunity to strengthen resume and technical skills

What We’re Looking For:

• Strong experience in Python (5+ years).
• Hands-on experience with any database (SQL or NoSQL).
• Experience with frameworks like Flask, FastAPI, or Django.
• Knowledge of ORMs, API development, and unit testing.
• Familiarity with Git and Agile methodologies.
• Familiarity with the Kafka tool (Added Advantage)

About Logikality

Logikality is building an AI-native mortgage intelligence platform for the U.S. mortgage industry. We are reimagining how mortgage operations are executed by combining AI, workflow automation, and domain expertise to solve one of the most document-intensive and decision-heavy industries in the world.

Our platform goes beyond document extraction. We are building AI systems that understand mortgage files, reason across multiple sources of information, identify risks and exceptions, support underwriting and quality control decisions, and continuously improve through expert feedback and rigorous evaluation.

Job Description

We are looking for a Generative AI Engineer to build and scale Logikality's AI-native mortgage platform.

The role requires strong hands-on engineering expertise in designing, building, and deploying production-grade Generative AI systems that power intelligent mortgage operations. You will work across LLM applications, AI agents, retrieval systems, reasoning workflows, backend services, APIs, and cloud infrastructure to transform complex mortgage workflows into reliable AI products.

This is a high-ownership role for someone who can rapidly convert business problems into scalable AI solutions with minimal supervision.

Key Requirements

• 3 to 8 years of experience in software engineering, AI engineering, or Generative AI development, preferably in startup environments. 
• B.E./B.Tech. in Computer Science or a related engineering discipline a premier engineering institution (e.g., IITs, IISc, NITs, BITS Pilani, or top-tier global universities).
• Proven experience independently owning projects end-to-end from solution design and model integration to production deployment, monitoring, and maintenance. 
• Strong proficiency in Python and modern backend development. 
• Hands-on experience building production-grade applications using Large Language Models (LLMs). 
• Experience with agentic AI frameworks, multi-agent workflows, function/tool calling, structured outputs, and prompt engineering. 
• Strong understanding of Retrieval-Augmented Generation (RAG), embeddings, vector databases, semantic search, and knowledge retrieval systems. 
• Experience integrating commercial and open-source foundation models (OpenAI, Anthropic, Gemini, Llama, Mistral, or similar). 
• Experience building AI pipelines using frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or equivalent orchestration frameworks. 
• Strong understanding of model evaluation, hallucination mitigation, guardrails, prompt optimisation, and LLM observability. 
• Experience with OCR, document intelligence, structured information extraction, or multimodal AI systems is preferred. 
• Strong knowledge of APIs, databases, cloud infrastructure, Docker, Kubernetes, and CI/CD pipelines. 
• Ability to design scalable, secure, and production-ready AI architectures. 
• Strong debugging skills, systems thinking, and an ownership mindset with the ability to move quickly in an early-stage startup. 

Preferred Experience

• Experience building AI copilots, autonomous agents, or enterprise AI assistants. 
• Familiarity with MCP, AI tool integration, and agent orchestration. 
• Experience fine-tuning, distillation, or evaluation of open-source LLMs. 
• Knowledge of AI safety, governance, and responsible AI practices. 
• Experience working with document-heavy enterprise domains such as financial services, banking, insurance, healthcare, legal, or mortgage technology. 
• Experience deploying AI applications on AWS, Azure, or GCP. 

What You'll Build

• AI agents that automate mortgage underwriting, quality control, compliance, and document review. 
• RAG-based knowledge systems that reason across large collections of mortgage documents. 
• Intelligent workflows combining LLM reasoning with deterministic business rules. 
• Production-grade AI APIs and backend services powering Logikality's platform. 
• Evaluation pipelines to continuously improve AI quality, accuracy, latency, and cost. 

Why Join Logikality?

At Logikality, you'll work on problems that require genuine reasoning, not just text generation. You'll help build AI systems that understand complex documents, synthesise information across workflows, explain decisions, identify exceptions, and improve through continuous learning and expert feedback.

This will be a full-time in-office role based in Bangalore. Immediate joiners are preferred.

Job Description: Senior Full Stack Java Developer

Timings: 2 p.m – 11 p.m

Employment: Full-time (Hybrid)

Overview: We are hiring two exceptional India-based Lead Developers to work as core members of U.S. based Agile teams. These individuals will own the technical implementation of critical features across customer-facing and associate-facing applications. This is a hands-on technical role, with at least 50% of time spent actively writing code or performing engineering tasks, while also guiding the rest of the team in execution.

Key Responsibilities:

• Serve as the senior technical contributor in a cross-border team focused on Loyalty, Mobile App, CRM, and Customer Pickup.

• Own software design, development, testing, and delivery for cloud-native microservices and web components.

• Lead and guide code reviews, enforce coding standards, and ensure best practices across development.

• Work closely with American product, architecture, and Development Manager teams to break down epics, refine stories, and estimate work. • Mentor India-based junior developers and enforce engineering best practices in a collaborative, remote-first culture.

• Proactively communicate blockers, design decisions, and progress across global teams.

• Write clean, testable, scalable code with strong observability and resilience patterns.

• Integrate with Salesforce, internal APIs, SQL/NoSQL systems, and customer data platforms.

Required Experience & Skills:

• 8-10 years of hands-on development experience.

• Deep expertise in Java, Spring Boot, RESTful API development, SQL (PostgreSQL, SQL Server), and front-end frameworks (React/Angular). • Experience working within an Agile environment alongside U.S.-based product managers, development managers, and designers.

• Strong debugging, troubleshooting, and unit/integration testing skills.

• Familiar with CI/CD pipelines, source control (Git), containerization (Docker), and modern deployment patterns.

• Excellent communication and proactive problem-solving in a remote-first environment.

• Prior experience working in an offshore/onshore model is highly preferred. 

JD for .Net:

• Strong knowledge on C#, Asp.Net Web forms and Web API

• Experience with Bootstrap, jQuery and Responsive web designing

• Experience with SQL server, Stored Procedure and performance tuning

• Excellent Problem solving, communication and Debugging skills

• Ability to learn and work on new technology in a short span of time

• Extensive experience with Object- Oriented Programming and Design patterns.

• Knowledge on .NET Core, Elastic Search, Knockout JS, Windows services are added advantage.

About Lo! Foods

India is the Diabetes capital of the world, with 75 Million currently and headed to 100 Million+ within 3-5 years. In addition, between 70-100 Million people are pre-diabetic. This is consequently one of the biggest health problems faced by India, that needs to be addressed at a War footing. 

Lo! Foods, started in 2019, has been a pioneer in cutting down Carbohydrates from Food. They started with a range of Ultra Low Carbohydrate products, that is used by those on a Ketogenic diet or those with Severe Diabetes issues and Type 1 Diabetes. 

Building on their expertise in Cutting down Carbs; while retaining nutrition, flavor and texture; Lo! Foods has also launched a specialist range of daily food products specially formulated for Diabetics. 

Job Role

We are looking for a Medical Sales Representative to promote and sell our diabetic range products. Customers can include doctors, pharmacists, and direct consumers. The medical representative will increase product awareness, answer queries, provide advice and introduce new products.

Key responsibilities include:

• Organizing appointments and meetings with community- and hospital-based healthcare staff
• Identifying and establishing new business
• Negotiating contracts
• Demonstrating or presenting products to healthcare staff including doctors, nurses and pharmacists
• Undertaking relevant research
• Meeting both the business and scientific needs of healthcare professionals
• Maintaining detailed records
• Attending and organising trade exhibitions, conferences and meetings
• Managing budgets
• Reviewing sales performance
• Writing reports and other documents.

Key Skills

• Experience of 5 to 8 years in a medical representative field.
• Should have Commercial awareness. It is good to have experience of handling diabetic products earlier
• Required good Presentation and Research skills
• Should have the ability to negotiate and collaborate contracts and business               deals
• Strong interpersonal and communication skills
• Organisational skills.

Glance – An InMobi Group Company:

Glance is an AI-first Screen Zero content discovery platform, and it’s scaled massively in the last few months to one of the largest platforms in India. Glance is a lock-screen first mobile content platform set up within InMobi. The average mobile phone user unlocks their phone >150 times a day. Glance aims to be there, providing visually rich, easy to consume content to entertain and inform mobile users - one unlock at a time. Glance is live on more than 80 millions of mobile phones in India already, and we are only getting started on this journey! We are now into phase 2 of the Glance story - we are going global!

Roposo is part of the Glance family. It is a short video entertainment platform. All the videos created here are user generated (via upload or Roposo creation tools in camera) and there are many communities creating these videos on various themes we call channels. Around 4 million videos are created every month on Roposo and power Roposo channels, some of the channels are - HaHa TV (for comedy videos), News, Beats (for singing/ dance performances) along with a For You (personalized for a user) and Your Feed (for videos of people a user follows).

What’s the Glance family like?

Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. Glanciers are passionate and driven, creative and fun-loving, take ownership and are results-focused. We invite you to free yourself, dream big and chase your passion.

What can we promise? 

We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for Glance and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At Glance, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work. 

What you will be doing?

Glance is looking for a Data Scientist who will design and develop processes and systems to analyze high volume, diverse "big data" sources using advanced mathematical, statistical, querying, and reporting methods. Will use machine learning techniques and statistical analysis to predict outcomes and behaviors. Interacts with business partners to identify questions for data analysis and experiments. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and or prepares output from analysis and experiments to business partners. 

You will be working with Product leadership, taking high-level objectives and developing solutions that fulfil these requirements. Stakeholder management across Eng, Product and Business teams will be required.

Basic Qualifications:

• Five+ years experience working in a Data Science role
• Extensive experience developing and deploying ML models in real world environments
• Bachelor's degree in Computer Science, Mathematics, Statistics, or other analytical fields
• Exceptional familiarity with Python, Java, Spark or other open-source software with data science libraries
• Experience in advanced math and statistics
• Excellent familiarity with command line linux environment
• Able to understand various data structures and common methods in data transformation
• Experience deploying machine learning models and measuring their impact
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Preferred Qualifications

• Experience developing recommendation systems
• Experience developing and deploying deep learning models
• Bachelor’s or Master's Degree or PhD that included coursework in statistics, machine learning or data analysis
• Five+ years experience working with Hadoop, a NoSQL Database or other big data infrastructure
• Experience with being actively engaged in data science or other research-oriented position
• You would be comfortable collaborating with cross-functional teams.
• Active personal GitHub account.