Lead Data Scientist

Job Title : Lead Database Engineer

Location : Gurgaon Sector-43

Experience Required : 4+ Years

Employment Type : Full-Time

Summary :

We are seeking a highly skilled Lead Database Engineer with expertise in managing and optimizing database systems, primarily focusing on Amazon Aurora PostgreSQL, MySQL, and NoSQL databases. The ideal candidate will have in-depth knowledge of AWS services, database architecture, performance tuning, and security practices.

Key Responsibilities :

1. Database Administration :

• Manage and administer Amazon Aurora PostgreSQL, MySQL, and NoSQL database systems to ensure high availability, performance, and security.
• Implement robust backup and recovery procedures to maintain data integrity.

2. Optimization and Performance:

• Develop and execute optimization strategies at the database, query, collection, and table levels.
• Proactively monitor performance and fine-tune RDS parameter groups for optimal database operations.
• Conduct root cause analysis and resolve complex database performance issues.

3. AWS Services and Architecture :

• Leverage AWS services such as RDS, Aurora, and DMS to ensure seamless database operations.
• Perform database version upgrades for PostgreSQL and MySQL, integrating new features and performance enhancements.

4. Replication and Scalability:

• Implement and manage various replication strategies, including master-master and master-slave replication, ensuring data consistency and scalability.

5. Security and Access Control:

• Manage user permissions and roles, maintaining strict security protocols and access controls.

6. Collaboration:

• Work closely with development teams to optimize database design and queries, aligning database performance with application requirements.

Required Skills :

• Strong Expertise: Amazon Aurora PostgreSQL, MySQL, and NoSQL databases.
• AWS Services: Experience with RDS, Aurora, and DMS.
• Optimization: Hands-on experience in query optimization, database tuning, and performance monitoring.
• Replication Strategies: Knowledge of master-master and master-slave replication setups.
• Problem Solving: Proven ability to troubleshoot and resolve complex database issues, including root cause analysis.
• Security: Strong understanding of data security and access control practices.
• Collaboration: Ability to work with cross-functional teams and provide database-related guidance.

Preferred Qualifications :

• Certification in AWS or database management tools.
• Experience with other NoSQL databases like MongoDB or Cassandra.
• Familiarity with Agile and DevOps methodologies.

AI Research Scientist -Computer Vision

MeltPlan | Planning Engine for the Built Environment

MeltPlan is building the “planning engine” for the $14 Tn construction industry, an AI system designed specifically to optimize decisions before construction begins. While design software optimizes use and aesthetics and construction software optimizes execution and control, MeltPlan is building the missing layer - software that optimizes decisions and tradeoffs upstream, before scope is locked, procurement begins, and change orders become inevitable. MeltPlan’s long-term goal is to help teams make construction “boring” by making planning more intense: surfacing constraints and tradeoffs early, aligning stakeholders before plans are frozen, and reducing the need for late-stage redlines, rework, and change orders.

MeltPlan is founded by operators who have built at scale. Kanav previously co-founded Innovaccer, a $3Bn healthtech company focused on making US healthcare more affordable and accessible. He’s now applying that systems-level thinking to construction.He’s joined by Tanmaya Kala, former Project Executive at DPR Construction, who led large commercial, healthcare, and life sciences projects. We combine deep tech scale with real construction execution.

What This Role Really Is

We are looking for an AI Research Scientist – Computer Vision to enhance and manage the PlanGraph model, which transforms 2D drawings into structured graphical representations of building elements. The role involves solving downstream business use cases such as quantity takeoff, code compliance, value engineering, and constructability analysis.We are specifically looking for hands-on researchers with experience in solving real-world Computer Vision problems and building custom vision models, VLMs, or VLLMs for production-grade applications.

What You’ll Do

• Build and optimize custom Computer Vision models, VLMs, and VLLMs for construction intelligence workflows.
• Solve downstream business use cases including quantity takeoff, code compliance, value engineering, and constructability analysis.
• Conduct applied research in Computer Vision, multimodal AI, document understanding, and spatial reasoning.
• Design, train, fine-tune, and evaluate production-grade AI models using large-scale datasets.
• Improve model accuracy, robustness, inference performance, and scalability for real-world deployment.
• Collaborate closely with engineering and product teams to convert research into deployable AI systems.
• Develop benchmarking, evaluation, and validation frameworks for model performance measurement.
• Stay updated with state-of-the-art research in Computer Vision, Vision Transformers, multimodal AI, and Generative AI.
• Contribute to research documentation, patents, publications, and internal technical knowledge sharing.
• Work on real-world construction datasets, drawings, and complex edge-case problem solving.
• Drive innovation in AI systems that improve planning, decision-making, and operational efficiency in construction workflows.

What We’re Looking For

• Strong foundation in Computer Vision, Deep Learning, and Machine Learning.
• Hands-on experience building and training custom Computer Vision models.
• Proficiency in Python and frameworks such as PyTorch, TensorFlow, and OpenCV.
• Experience working with image processing, object detection, segmentation, OCR, or multimodal AI systems.
• Understanding of Vision Language Models (VLMs), Vision Transformers (ViTs), or Generative AI concepts.
• Ability to train, fine-tune, and optimize AI models for production environments.
• Strong analytical, research, and problem-solving skills.
• Experience reading and implementing research papers into practical applications.
• Bachelor’s, Master’s, or PhD in Computer Science, AI, Machine Learning, or a related field.

Bonus if you’ve:

• Built multi-step agent systems
• Prior experience in applied AI research within startup or product-focused environments.
• Exposure to MLOps, model deployment, and production AI systems.
• Worked in messy real-world data environments

We’re not looking for someone who waits for clean requirements.We’re looking for someone who thrives in the mess and turns it into systems.

Why meltplan

• Massive industry, real-world impact
• High ownership from day one
• Small team, zero bureaucracy
• Competitive comp + meaningful equity

Role & Responsibilities

Contributes to the technical vision for an engineering team, aligning with company-wide strategies and goals.

Contributes to the design and development of robust, scalable, and user-friendly web applications.

Create innovative solutions using the latest technologies and tools for front end development and backend development.

Collaborate with product managers, designers, and engineers to define product direction and to deliver complex applications.

Conduct thorough code reviews and provide constructive feedback to ensure high-quality code.

Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.

Troubleshoot and debug complex issues in production environments, working closely with customer support and operations teams to ensure timely resolution and minimal disruption to business operations

Job Location - Hyderabad & Ahmedabad 

What you'll do: 

• Perform complex application programming activities with an emphasis on mobile development:  Node.js, TypeScript, JavaScript, RESTful APIs and related backend frameworks 

• Assist in the definition of system architecture and detailed solution design that are scalable and extensible 
• Collaborate with Product Owners, Designers, and other engineers on different permutations to find the best solution possible 
• Own the quality of code and do your own testing. Write unit test and improve test coverage. 
• Deliver amazing solutions to production that knock everyone’s socks off 
• Mentor junior developers on the team 

What we’re looking for: 

• Amazing technical instincts. You know how to evaluate and choose the right technology and approach for the job. You have stories you could share about what problem you thought you were solving at first, but through testing and iteration, came to solve a much bigger and better problem that resulted in positive outcomes all-around. 
• A love for learning. Technology is continually evolving around us, and you want to keep up to date to ensure we are using the right tech at the right time. 
• A love for working in ambiguity—and making sense of it. You can take in a lot of disparate information and find common themes, recommend clear paths forward and iterate along the way. You don’t form an opinion and sell it as if it’s gospel; this is all about being flexible, agile, dependable, and responsive in the face of many moving parts. 
• Flexible and willing to accept change in priorities, as necessary 

• Demonstrable passion for technology (e.g., personal projects, open-source involvement)  
• Enthusiastic embrace of DevOps culture and collaborative software engineering 
• Ability and desire to work in a dynamic, fast paced, and agile team environment 
• Enthusiasm for cloud computing platforms such as AWS or Azure 
• Excellent written and verbal communications skills 

Preferred Qualifications:  

• Experience with Apache Cordova framework 
• Demonstrable knowledge of native coding background in iOS, Android 
• Experience developing and deploying applications within Kubernetes based containers  
• Experience in Agile and SCRUM development techniques 

Responsibilities

·       Develop Python-based APIs using FastAPI and Flask frameworks.

·       Develop Python-based Automation scripts and Libraries.

·       Develop Front End Components using VueJS and ReactJS.

·       Writing and modifying Docker files for the Back-End and Front-End Components.

·       Integrate CI/CD pipelines for Automation and Code quality checks.

·       Writing complex ORM mappings using SQLAlchemy.

Required Skills:

·       Strong experience in Python development in a full stack environment is a requirement, including NodeJS, VueJS/Vuex, Flask, etc.

·       Experience with SQLAchemy or similar ORM frameworks.

·       Experience working with Geolocation APIs (e.g., Google Maps, Mapbox).

·       Experience using Elasticsearch and Airflow is a plus.

·       Strong knowledge of SQL, comfortable working with MySQL and/or PostgreSQL databases.

·       Understand concepts of Data Modeling.

·       Experience with REST.

·       Experience with Git, GitFlow, and code review process.

·       Good understanding of basic UI and UX principles.

·       Project excellent problem-solving and communication skills.

Key Technologies:

Qt/QML, C++, OOAD,Qt Creator,Qt Widgets

Responsibilities:

• Be involved in all stages of Qt/C++, , and QML development from architecture to coding to final testing
• Expertise in OOAD concepts
• Work as part of an Agile team to deliver high-quality applications
• Collaborate with the product team to plan, design, and execute new features
• Design Qt Widgets, Proficiency with tools like qt Creator, qt Design Tools

Qualifications:

• Good hands-on experience in C++ system programming and design.
• Good experience on QT and QML
• Strong understanding on object oriented techniques/methodologies.
• Good working experience on Linux platforms
• Exposure to STL, Design Patterns