Sales & Business Development Manager

Job Description: Applied Scientist

Location: Bangalore / Hybrid / Remote

Company: LodgIQ

Industry: Hospitality / SaaS / Machine Learning

About LodgIQ

Headquartered in New York, LodgIQ delivers a revolutionary B2B SaaS platform to the

travel industry. By leveraging machine learning and artificial intelligence, we enable precise

forecasting and optimized pricing for hotel revenue management. Backed by Highgate

Ventures and Trilantic Capital Partners, LodgIQ is a well-funded, high-growth startup with a

global presence.

About the Role

We are seeking a highly motivated Applied Scientist to join our Data Science team. This

individual will play a key role in enhancing and scaling our existing forecasting and pricing

systems and developing new capabilities that support our intelligent decision-making

platform.

We are looking for team members who: ● Are deeply curious and passionate about applying machine learning to real-world

problems. ● Demonstrate strong ownership and the ability to work independently. ● Excel in both technical execution and collaborative teamwork. ● Have a track record of shipping products in complex environments.

What You’ll Do ● Build, train, and deploy machine learning and operations research models for

forecasting, pricing, and inventory optimization. ● Work with large-scale, noisy, and temporally complex datasets. ● Collaborate cross-functionally with engineering and product teams to move models

from research to production. ● Generate interpretable and trusted outputs to support adoption of AI-driven rate

recommendations. ● Contribute to the development of an AI-first platform that redefines hospitality revenue

management.

Required Qualifications ● Bachelor's or Master’s degree or PhD in Computer Science or related field. ● 3-5 years of hands-on experience in a product-centric company, ideally with full model

lifecycle exposure.

Commented [1]: Leaving note here

Acceptable Degree types - Masters or PhD

Fields

Operations Research

Industrial/Systems Engineering

Computer Science

Applied Mathematics

● Demonstrated ability to apply machine learning and optimization techniques to solve

real-world business problems.

● Proficient in Python and machine learning libraries such as PyTorch, statsmodel,

LightGBM, scikit-learn, XGBoost

● Strong knowledge of Operations Research models (Stochastic optimization, dynamic

programming) and forecasting models (time-series and ML-based).

● Understanding of machine learning and deep learning foundations.

● Translate research into commercial solutions

● Strong written and verbal communication skills to explain complex technical concepts

clearly to cross-functional teams.

● Ability to work independently and manage projects end-to-end.

Preferred Experience

● Experience in revenue management, pricing systems, or demand forecasting,

particularly within the hotel and hospitality domain.

● Applied knowledge of reinforcement learning techniques (e.g., bandits, Q-learning,

model-based control).

● Familiarity with causal inference methods (e.g., DAGs, treatment effect estimation).

● Proven experience in collaborative product development environments, working closely

with engineering and product teams.

Why LodgIQ?

● Join a fast-growing, mission-driven company transforming the future of hospitality.

● Work on intellectually challenging problems at the intersection of machine learning,

decision science, and human behavior.

● Be part of a high-impact, collaborative team with the autonomy to drive initiatives from

ideation to production.

● Competitive salary and performance bonuses.

● For more information, visit https://www.lodgiq.com

Were Hiring : MERN Stack Developer

- Deqode is looking for passionate and skilled MERN Stack Developers to join our growing team in Mumbai. If you love building scalable applications, working with cutting-edge technologies, and solving complex problems, wed love to meet you!

Role : MERN Stack Developer

- Experience Required : 2 - 4 Years

- Location : Mumbai (Work From Office 5 Days)

- Notice Period : Immediate Joiners or up to 15 Days

Key Responsibilities :

- Develop, test, and deploy high-quality web applications using MongoDB, Express, React, and Node.js.

- Design and maintain scalable APIs and services.

- Work with Docker & Kubernetes for containerization and deployment.

- Integrate Kafka for real-time data processing and messaging.

- Collaborate with cross-functional teams to deliver robust and efficient solutions.

- Write clean, maintainable, and efficient code while following best practices.

Required Skills :

- Strong hands-on experience with MERN Stack (MongoDB, Express.js, React.js, Node.js).

- Experience with Docker and Kubernetes.

- Knowledge of Kafka for event-driven architecture.

- Solid understanding of software design principles and RESTful APIs.

- Problem-solving mindset with strong analytical skills.

We’re looking for an experienced AI Developer to join our team and drive the design, development, and deployment of advanced computer-vision and LLM-based solutions. You’ll build real-time object detection & tracking pipelines (LLM, YOLOv8/11), develop face-recognition models on video feeds with LLM support, and manage GPU-powered server infrastructure end-to-end.

Key Responsibilities

• Model Development & Optimization
• Design, train, and fine-tune LLMs, YOLOv8/11 models for multi-class object detection.
• Implement face-recognition pipelines leveraging state-of-the-art LLMs and embedding techniques.
• Optimize inference speed and accuracy for real-time video processing on GPUs.
• Video Analytics & Tracking
• Develop multi-camera object-tracking algorithms across disparate video sources.
• Integrate OpenCV, DeepSORT (or similar), and custom tracking logic for robust performance.
• Infrastructure & Deployment
• Provision and maintain Linux servers with SSH, Docker, and GPU drivers (NVIDIA CUDA/cuDNN).
• Automate CI/CD pipelines for model training, evaluation, and deployment.
• Monitor GPU utilization, troubleshoot performance bottlenecks, and ensure high availability.
• Collaboration & Documentation
• Work closely with product managers, data engineers, and front-end teams to integrate AI services via REST/gRPC APIs.
• Write clear technical documentation, API specs, and best-practice guides.

Required Qualifications

• Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field.
• 2-3+ years hands-on experience with:
• YOLOv8 or YOLOv11 (training, inference, transfer learning)
• Face recognition frameworks (InsightFace, FaceNet, ArcFace) and LLM embeddings (e.g., Hugging Face Transformers)
• Python ecosystem: PyTorch/TensorFlow, OpenCV, NumPy, scikit-learn
• Strong Linux skills: server provisioning, SSH, shell scripting.
• Proficiency in managing GPU servers (NVIDIA CUDA, Docker GPU containers)
• Experience deploying models in production (AWS/GCP/Azure or on-prem clusters).

Preferred Qualifications

• Familiarity with video-streaming protocols (RTSP/WebRTC).
• Knowledge of microservices architecture and API gateways.
• Exposure to MLOps platforms (MLflow, Kubeflow).
• Strong debugging, profiling, and performance-tuning abilities.

What You Need: 

✅ Strong experience in backend development using Python (Django, Flask, or FastAPI). 

✅ Hands-on experience with Azure Cloud services (Azure Functions, App Services, AKS, CosmosDB, etc.). 

✅ Experience leading a development team and managing projects. 

✅ Expertise in designing and managing APIs, microservices, and event-driven architectures. 

✅ Strong database experience with MongoDB, PostgreSQL, MySQL, or CosmosDB. 

✅ Knowledge of DevOps practices, including CI/CD pipelines, Docker, and Kubernetes. 

✅ Ability to develop Proof of Concepts (POCs) and evaluate new technology solutions. 

✅ Strong problem-solving and debugging skills. 

The ideal candidate will have experience in creating mockups to present to teams, collecting feedback and creating a quality piece of work. This individual should be comfortable with building sitemaps, wireframes and prototypes to provide to project manners and inevitably execute based on outlined criteria. This candidate should have strong creative and design skills and be familiar with various design technologies.

Responsibilities

• Develop design solutions for mobile platforms
• Understand the Business thoroughly and exhibit creative solutions
• Clearly wireframe flows and demonstrate expertise and understand audience
• Build sitemaps, wireframes and prototypes to outline structure

Qualifications

• Bachelor's degree in user experience, design or related field
• 2 years of experience with UI design
• Knowledge of UI UX standards like Material Design for Android
• Prototyping and Wireframe Design skills
• Good UX content creation skills(logos, icons, images)

• JAVA Microservices with AWS needed
• Provide solution architecture & design involving Cloud and DevOps
• Develop new microservices in a cloud-native way.
• Ensure the unit testing and code coverage are achieved as per the agreed percentage.
• Build reusable code and libraries for future use.
• Optimize application for maximum performance and scalability.
• Collaborate, and coordinate with team members and key stakeholders.
• Communicate effectively with different stakeholders.
• Ensure best practices & standards are followed during SDLC.
• Takes ownership of the whole solution from a technical perspective and ensures adherence to defined Architecture & Design.
• Ensures the latest technology standards, and guidelines are utilized for development.
• Performs consistent & adequate code reviews & feedback to the team.
• Training and induction of new resources on the projects.

Skills and Qualifications

• Deep understanding of OOPs and OOAD.
• Expert and hands-on in Java JEE and Spring framework, Spring Boot.
• Should have experience with RESTful web services and API standards.
• Should know various integration patterns in distributed environments.
• Working knowledge of microservice architecture and different design patterns.
• Hands-on in writing unit tests with Mockito and code coverage tools.
• Hands-on data modeling (Logical physical).
• Knowledge of RDBMS, SQL and any ORM framework (JPA, Hibernate etc.)
• Should know Event-driven and asynchronous programming using message broker.
• Should know about cloud IaaS, PaaS, SaaS and Serverless models of any cloud provider (AWS, Azure, GCP), preferably AWS.
• Knowledge of JavaScript frameworks like NodeJS (For the Backend) and Angular React (For Frontend) will be added advantage.
• Good to have DevOps related technologies like Container (Docker), Container Orchestrator (Kubernetes EKS)
• Excellent in communication

• Key responsibility is to design, develop & maintain efficient Data models for the organization maintained to ensure optimal query performance by the consumption layer.
• Developing, Deploying & maintaining a repository of UDXs written in Java / Python.
• Develop optimal Data Model design, analyzing complex distributed data deployments, and making recommendations to optimize performance basis data consumption patterns, performance expectations, the query is executed on the tables/databases, etc.
• Periodic Database health check and maintenance
• Designing collections in a no-SQL Database for efficient performance
• Document & maintain data dictionary from various sources to enable data governance
• Coordination with Business teams, IT, and other stakeholders to provide best-in-class data pipeline solutions, exposing data via APIs, loading in down streams, No-SQL Databases, etc
• Data Governance Process Implementation and ensuring data security

Requirements

• Extensive working experience in Designing & Implementing Data models in OLAP Data Warehousing solutions (Redshift, Synapse, Snowflake, Teradata, Vertica, etc).
• Programming experience using Python / Java.
• Working knowledge in developing & deploying User-defined Functions (UDXs) using Java / Python.
• Strong understanding & extensive working experience in OLAP Data Warehousing (Redshift, Synapse, Snowflake, Teradata, Vertica, etc) architecture and cloud-native Data Lake (S3, ADLS, BigQuery, etc) Architecture.
• Strong knowledge in Design, Development & Performance tuning of 3NF/Flat/Hybrid Data Model.
• Extensive technical experience in SQL including code optimization techniques.
• Strung knowledge of database performance and tuning, troubleshooting, and tuning.
• Knowledge of collection design in any No-SQL DB (DynamoDB, MongoDB, CosmosDB, etc), along with implementation of best practices.
• Ability to understand business functionality, processes, and flows.
• Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently.
• Any OLAP DWH DBA Experience and User Management will be added advantage.
• Knowledge in financial industry-specific Data models such as FSLDM, IBM Financial Data Model, etc will be added advantage.
• Experience in Snowflake will be added advantage.
• Working experience in BFSI/NBFC & data understanding of Loan/Mortgage data will be added advantage.

Functional knowledge

• Data Governance & Quality Assurance
• Modern OLAP Database Architecture & Design
• Linux
• Data structures, algorithm & data modeling techniques
• No-SQL database architecture
• Data Security