Big Data Python Developer

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

Shortened version:

• 5+ years experience in Python with strong core concepts (OOP, data structures, exception handling, problem-solving)
• Experience with FastAPI (preferred) or Flask/Django
• Strong REST API development & authentication (JWT/OAuth)
• SQL (MySQL/PostgreSQL) & NoSQL (MongoDB/Firestore) experience
• Basic cloud knowledge (GCP or AWS)
• Git, code reviews, clean coding & performance optimization
• Good communication and teamwork skills

Responsibilities:

• Build and maintain scalable backend apps and REST APIs
• Work with databases, third-party integrations, and cloud deployments
• Write clean, testable, optimized code
• Debug, troubleshoot, and improve performance
• Collaborate with team on technical solutions

Good to have:

• GCP (BigQuery, Dataflow, Cloud Functions)
• Microservices, Redis/Kafka/RabbitMQ
• Docker, CI/CD
• Basic Pandas/Numpy for data handling

Perks & Benefits

• 5 Days Working
• Family Health Insurance
• Relaxation Area
• Affordable Lunch
• Free Snacks & Drinks
• Open Work Culture
• Competitive Salary & Benefits
• Festival Celebrations
• International Exposure Opportunities
• 20 Paid Leaves per Year
• Marriage Leave & Parental Leave Policy

Job Description:

We are seeking a skilled Shopify App Developer with experience in React/Remix and a strong foundation in HTML, CSS, JavaScript, and jQuery. The ideal candidate will be responsible for building and maintaining custom Shopify applications, enhancing user interfaces, and ensuring seamless e-commerce experiences for our clients. This role requires a strong understanding of Shopify’s ecosystem, combined with frontend development skills to deliver high-quality, scalable solutions.

Key Responsibilities:

• React Develop, test, and maintain custom Shopify apps to enhance store functionality.
• Collaborate with the design and product teams to implement responsive and user-friendly UI/UX features.
• Utilize React and Remix frameworks to build dynamic, interactive web applications.
• Write clean, modular, and scalable code using HTML, CSS, JavaScript, and jQuery.
• Integrate third-party APIs and manage data securely within Shopify.
• Optimize applications for speed and scalability across various devices and browsers.
• Stay updated on Shopify platform updates, best practices, and industry trends.
• Develop, test, and maintain custom Shopify apps to enhance store functionality.
• Collaborate with the design and product teams to implement responsive and user-friendly UI/UX features.
• Utilize React and Remix frameworks to build dynamic, interactive web applications.
• Write clean, modular, and scalable code using HTML, CSS, JavaScript, and jQuery.
• Integrate third-party APIs and manage data securely within Shopify.
• Optimize applications for speed and scalability across various devices and browsers.
• Stay updated on Shopify platform updates, best practices, and industry trends.

Responsibilities:

• Lead implementation of companies in key partner institutes
• Own the entire process of onboarding a partner institute
• Define custom made' offerings for the parents of a particular institute
• Single point of contact between the company institute partnerships team, institute management and companies inside sales team
• Account management: Be responsible for anything and everything' in the partner institutes
• Be responsible for parent outreach in the institutes
• Strategize and execute plans for customer acquisition along with the management - events, referrals etc.
• P& L; owner of key accounts
• Take lead in selling and implementing companies full suite of financial and payment solutions in the partner institutes
• Lead the ideation, planning, and execution of these initiatives / projects while working directly with the founding team
• Own execution from strategy design and setup to pilot and eventual scale-up
• Work closely with different teams within the company (sales, marketing, strategy, and product) to execute the project
• Build and lead high-performing teams to scale these initiatives

Requirements:

• Degree from top tier colleges (IITs, IIMs, ISB, BITS etc. ) and 2-6 years of experience in project management, product development, growth, new initiatives at top startups
• Track record of out performance / over-achieving targets in previous work places
• Experience in leading initiatives and delivering results in a time-bound manner
• Prior experience in early stage startups or as a founder is a huge plus
• Prior exposure to B2C or understanding of financial services is a plus

Requirement :-

- 3-5 Yrs Exp. Ecommerce / D2C exp preferred
- Ideally from the future ecosystem, who will be able to manage imports, TP purchases
- Also lead Traded Products + Packaging Procurement.

A malware analyst examines malicious software, such as bots, worms, and trojans to understand the nature of their threat. This task usually involves reverse-engineering the compiled executable and examining how the program interacts with its environment. The analyst may be asked to document the specimen's attack capabilities, understand its propagation characteristics, and define signatures for detecting its presence. A malware analyst is sometimes called a reverse engineer.

Security product companies, in industries such as anti-virus or network intrusion prevention, may hire malware analysts to develop ways of blocking malicious code. Large organizations in non-security industries may also hire full-time malware analysts to help protect their environment from attacks, or to respond to incidents that involve malicious software. Malware analysis skills are also valued by companies that cannot justify hiring full-time people to perform this work, but who wish their security or IT administrators to be able to examine malicious software when the need arises.

Desired Candidate Profile

• Be bold in building industry-first consumer-facing products that actualize the company’s vision
• Keenly understand user needs and demonstrate first-principles thinking in building solutions for the same
• Be responsible for developing and delivering the product roadmap

• 3-4 years of experience in building products at B2C start-ups
• Case studies involving deep customer insight
• Taken decisions based on strong analytics and/or intuition from time to time
• Growth mindset - moving quickly, shipping products, scaling
• Ability to act as a bridge between business and engineering teams
• The website is yet to reflect our direction going ahead.
• We have been generating transactions in the market using WhatsApp before productizing the same