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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 health-tech 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.We’re building the biggest tech company in construction over the next decade, and this role sits at the center of how that story gets told.
What This Role Really Is
As our Social Media Marketing & Content Creator (US Audience)
, you’ll own how MeltPlan shows up in public. You’ll create AI-powered short-form content including videos, reels, stories, and experimental formats using modern AI tools instead of traditional production workflows. You’ll engage directly with architects, engineers, and builders, start real conversations, and help build an active community around AI and the future of construction, not just posts and follower counts.
This role is for someone who loves being around people and loves creating. Someone who naturally builds relationships, enjoys talking and engaging, and wants to be visibly involved in shaping how an entire industry thinks about AI. You’ll work closely with the founding team to help lead the narrative of AI in construction and define how a new category is understood.
This is also a rare opportunity to become AI-first by default. You’ll get hands-on exposure to AI tools across video creation, storytelling, editing, experimentation, and community building. If you want to become the kind of social media marketer who deeply understands AI, not just someone who uses it occasionally, this role is designed for that path.
What you’ll do
- Create punchy, educational, on-brand reels, short videos, and posts using AI tools across Instagram, LinkedIn, and emerging platforms
- Experiment with AI-powered content creation: reels, short films, storytelling formats, and community-driven content
- Act as a brand ambassador – actively engaging with architects, engineers, contractors, and others in the industry
- Build and nurture relationships and communities
- Help lead and evolve MeltPlan’s narrative as a category-defining company
- Stay close to people: Conversations, DMs, comments, and industry discourse
- Work directly on brand storytelling, creative direction, and growth initiatives
What We’re Looking For
- You love being around people and naturally build connections and relationships
- You’re a natural talker and communicator – curious, confident, and personable
- You’re excited about storytelling, short-form video, and internet culture
- You’re eager to become an expert in AI tools for content creation, reels, short movies, and community building
- You may be entry-level or early-career, but you think and act with ambition
- You’re deeply curious about AI and how it will reshape creative work and construction
- You thrive in fast-moving environments and like owning things end-to-end
- It's a contractual role for 3 months
Why MeltPlan
- Opportunity to help lead the narrative of the biggest tech company in construction in the next decade
- Hands-on experience with cutting-edge AI tools for content creation and storytelling
- Real ownership over brand and community
- A role designed for rapid growth, creative freedom, and experimentation
Job Description
We are looking for an experienced GCP Cloud Engineer to design, implement, and manage cloud-based solutions on Google Cloud Platform (GCP). The ideal candidate should have expertise in GKE (Google Kubernetes Engine), Cloud Run, Cloud Loadbalancer, Cloud function, Azure DevOps, and Terraform, with a strong focus on automation, security, and scalability.
Work location: Pune/Mumbai/Bangalore
Experience: 4-7 Years
Joining: Mid of October
You will work closely with development, operations, and security teams to ensure robust cloud infrastructure and CI/CD pipelines while optimizing performance and cost.
Key Responsibilities:
1. Cloud Infrastructure Design & Management
· Architect, deploy, and maintain GCP cloud resources via terraform/other automation.
· Implement Google Cloud Storage, Cloud SQL, file store, for data storage and processing needs.
· Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy) for high availability and scalability.
· Optimize resource allocation, monitoring, and cost efficiency across GCP environments.
2. Kubernetes & Container Orchestration
· Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).
· Work with Helm charts, Istio, and service meshes for microservices deployments.
· Automate scaling, rolling updates, and zero-downtime deployments.
3. Serverless & Compute Services
· Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads.
· Optimize containerized applications running on Cloud Run for cost efficiency and performance.
4. CI/CD & DevOps Automation
· Design, implement, and manage CI/CD pipelines using Azure DevOps.
· Automate infrastructure deployment using Terraform, Bash and Power shell scripting
· Integrate security and compliance checks into the DevOps workflow (DevSecOps).
Required Skills & Qualifications:
✔ Experience: 4+ years in Cloud Engineering, with a focus on GCP.
✔ Cloud Expertise: Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions).
✔ Kubernetes & Containers: Experience with GKE, Docker, GKE Networking, Helm.
✔ DevOps Tools: Hands-on experience with Azure DevOps for CI/CD pipeline automation.
✔ Infrastructure-as-Code (IaC): Expertise in Terraform for provisioning cloud resources.
✔ Scripting & Automation: Proficiency in Python, Bash, or PowerShell for automation.
✔ Security & Compliance: Knowledge of cloud security principles, IAM, and compliance standards.
About Wissen Technology
Wissen Technology, established in 2015 and part of the Wissen Group (founded in 2000), is a specialized technology consulting company. We pride ourselves on delivering high-quality solutions for global organizations across Banking & Finance, Telecom, and Healthcare domains.
Here’s why Wissen Technology stands out:
Global Presence: Offices in US, India, UK, Australia, Mexico, and Canada.
Expert Team: Wissen Group comprises over 4000 highly skilled professionals worldwide, with Wissen Technology contributing 1400 of these experts. Our team includes graduates from prestigious institutions such as Wharton, MIT, IITs, IIMs, and NITs.
Recognitions: Great Place to Work® Certified.
Featured as a Top 20 AI/ML Vendor by CIO Insider (2020).
Impressive Growth: Achieved 400% revenue growth in 5 years without external funding.
Successful Projects: Delivered $650 million worth of projects to 20+ Fortune 500 companies.
For more details:
Website: www.wissen.com
Wissen Thought leadership : https://www.wissen.com/articles/
LinkedIn: Wissen Technology
Location: Baner, Pune.
Experience Level: 8+ Yrs.
Experience Level: UK Shift (1:00 PM – 10:00 PM)
Key Skills & Responsibilities:
• Lead the design, configuration, and implementation of SAP modules (e.g., MM, SD)
based on business requirements.
• Collaborate with business stakeholders to gather, analyze, and document functional
requirements.
• Strong functional expertise in SAP MM, and SD modules with focus on invoice
processing, tax configuration, and statutory reporting.
• Translate business needs into SAP solutions through process mapping and best practice
recommendations.
• Oversee the development of functional specifications for RICEFW objects (Reports,
Interfaces, Conversions, Enhancements, Forms, Workflows).
• Work with business stakeholders to understand statutory and good to have E-invoicing
knowledge
• Map business requirements to SAP functionalities, primarily within MM, and SD
modules.
• Coordinate with ABAP and middleware teams for API integration between SAP and
the government’s e-invoice/GST portal or third-party providers.
• In-depth knowledge of IDoc processing, troubleshooting, and interface management.
• Good understanding of API-based integrations between SAP and government/third-
party systems
• Excellent in preparing documentation (FS, TS, UAT scripts), and support go-live
activities.
• Manage change requests, issue resolution, and enhancements post-implementation.
• Provide functional guidance to junior consultants and coordinate across cross-functional
SAP teams.
• Prepare and present project status reports to management and stakeholders.
1.Advanced knowledge of statistical techniques, NLP, machine learning algorithms and deep
learning
frameworks like Tensorflow, Theano, Keras, Pytorch
2. Proficiency with modern statistical modeling (regression, boosting trees, random forests,
etc.),
machine learning (text mining, neural network, NLP, etc.), optimization (linear
optimization,
nonlinear optimization, stochastic optimization, etc.) methodologies.
3. Build complex predictive models using ML and DL techniques with production quality
code and jointly
own complex data science workflows with the Data Engineering team.
4. Familiar with modern data analytics architecture and data engineering technologies
(SQL and No-SQL databases)
5. Knowledge of REST APIs and Web Services
6. Experience with Python, R, sh/bash
Required Skills (Non-Technical):-
1. Fluent in English Communication (Spoken and verbal)
2. Should be a team player
3. Should have a learning aptitude
4. Detail-oriented, analytical and inquisitive
5. Ability to work independently and with others
6. Extremely organized with strong time-management skills
7. Problem Solving & Critical Thinking
Required Experience Level :- Senior level- 4+Years
Work Location : Pune preferred, Remote option available
Work Timing : 2:30 PM to 11:30 PM IST
Job Summary
As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base
- Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
- Work with teams of smart collaborators. Be responsible for their appraisals and career development.
- Participate and lead executive presentations with client leadership stakeholders.
- Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
- See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.
Role & Responsibilities
- Serve as expert in Data Science, build framework to develop Production level DS/AI models.
- Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
- Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
- Lead and manage the onsite-offshore relation, at the same time adding value to the client.
- Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
- Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
- Present results, insights, and recommendations to senior management with an emphasis on the business impact.
- Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
- Lead or contribute to org level initiatives to build the Tredence of tomorrow.
Qualification & Experience
- Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
- 6-10+ years of experience in data science, building hands-on ML models
- Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
- Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
- Knowledge of programming languages SQL, Python/ R, Spark.
- Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
- Experience with cloud computing services (AWS, GCP or Azure)
- Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
- Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
- Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
- Knowledge in GPU code optimization, Spark MLlib Optimization.
- Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
- Experience with ML CI/CD pipelines.
We are seeking an enthusiastic and curious Salesforce Technical Architect to join our team to design and develop solutions on the Salesforce.com platform using Apex and Visualforce programming languages. In this role, you’ll work in a highly collaborative environment where communication with the Marketing, Sales, Underwriting, and Backend Engineering teams is key to your day-to-day success.
As a Specialist Leader in our Salesforce practice, you will:
- Serve as an integrator between business needs and technology solutions, helping to create technology solutions to meet clients’ business needs
- Organize and deliver services on a cross-section of projects
- Maintain your technical knowledge within the industry and leverage this subject matter knowledge in client engagements
- Contribute to the development and cultivation of business and vendor relationships
- Serve as a “Subject Matter Expert”, adding interpretive value to data presented or experienced insight into a functional process or issue
- Display leadership and business judgment by anticipating client and project needs and developing alternative solutions
- Identify opportunities for other Rialtes service offerings that can address client needs
- Manage solutions, delegate resources, and help ensure quality assurance principles are met across projects and deliverables
- Supervise the work of team members and support delivery team staff
- Provide input and actively participate in recruitment and retention activities
Qualifications Required:
- 6+ years in an SFDC Technical Architect role
- Pre-sales, proposal, and RFP experience
- At least 4 full life-cycle Salesforce implementations with strong expertise in 2 of the following modules: Sales Cloud, Service Cloud, Marketing Cloud, Force.com
- Strong communication skills, both written and oral.
- 5+ years of hands-on experience on Sales/Service Cloud/Community or Force.com platform and integrations
- 4+ Salesforce Certifications in development & Administration.
- 3-8+ years of experience programming in a backend language (Java / Python), with a good understanding of troubleshooting errors.
- 5+ years of experience in Confluent Kafka / 3+ years of experience in Confluent Kafka
- Cloud Kafka, Control Central, Rest Proxy, HA Proxy, Confluent Kafka Connect, Confluent Kafka Security features
Years of Experience – 2-3 years
Location – Flexible (Pune/Jaipur Preferred), India
Position Summary
At Clarista.io, we are driven to create a connected data world for enterprises, empowering their employees with the information they need to compete in the digital economy. Information is power, but only if it can be harnessed by people.
Clarista turns current enterprise data silos into a ‘Live Data Network’, easy to use, always available, with flexibility to create any analytics with controls to ensure quality and security of the information
Clarista is designed with business teams in mind, hence ensuring performance with large datasets and a superior user experience are critical to the success of the product
What You'll Do
You will be part of our data platform & data engineering team. As part of this agile team, you will work in our cloud native environment and perform following activities to support core product development and client specific projects:
• You will develop the core engineering frameworks for an advanced self-service data analytics product.
• You will work with multiple types of data storage technologies such as relational, blobs, key-value stores, document databases and streaming data sources.
• You will work with latest technologies for data federation with MPP (Massive Parallel Processing) capabilities
• Your work will entail backend architecture to enable product capabilities, data modeling, data queries for UI functionality, data processing for client specific needs and API development for both back-end and front-end data interfaces.
• You will build real-time monitoring dashboards and alerting systems.
• You will integrate our product with other data products through APIs
• You will partner with other team members in understanding the functional / nonfunctional\ business requirements, and translate them into software development tasks
• You will follow the software development best practices in ensuring that the code architecture and quality of code written by you is of high standard, as expected from an enterprise software
• You will be a proactive contributor to team and project discussions
Who you are
• Strong education track record - Bachelors or an advanced degree in Computer Science or a related engineering discipline from Indian Institute of Technology or equivalent premium institute.
• 2-3 years of experience in Big Data and Data Engineering.
• Strong knowledge of advanced SQL, data federation and distributed architectures
• Excellent Python programming skills. Familiarity with Scala and Java are highly preferred
• Strong knowledge and experience in modern and distributed data stack
components such as the Spark, Hive, airflow, Kubernetes, docker etc.
• Experience with cloud environments (AWS, Azure) and native cloud technologies for data storage and data processing
• Experience with relational SQL and NoSQL databases, including Postgres, Blobs, MongoDB etc.
• Experience with data pipeline and workflow management tools: Airflow, Dataflow, Dataproc etc.
• Experience with Big Data processing and performance optimization
• Should know how to write modular and optimized code.
• Should have good knowledge around error handling.
• Fair understanding of responsive design and cross-browser compatibility issues.
• Experience versioning control systems such as GIT
• Strong problem solving and communication skills.
• Self-starter, continuous learner.
Good to have some exposure to
• Start-up experience is highly preferred
• Exposure to any Business Intelligence (BI) tools like Tableau, Dundas, Power BI etc.
• Agile software development methodologies.
• Working in multi-functional, multi-location teams
What You'll Love About Us – Do ask us about these!
• Be an integral part of the founding team. You will work directly with the founder
• Work Life Balance. You can't do a good job if your job is all you do!
• Prepare for the Future. Academy – we are all learners; we are all teachers!
• Diversity & Inclusion. HeForShe!
• Internal Mobility. Grow with us!
• Business knowledge of multiple sectors
Requirements:
- Educational Qualification: BCS, MCS, BCA, MCA or equivalent degree in trade/commerce stream with domain knowledge in indirect taxation.
- Prior work experience in tax software solution or tax advisory companies preferred.
- Ability to effectively service large portfolio of customers
- Excellence in Interpersonal Skills with strong command on spoken and written communication skills
- Ability to thrive in a multi-tasking environment
Roles and Responsibilities:
- Guide a team of customer support associates on customer issue investigation and resolution by applying understanding of GST compliance requirements, GSTN APIs, Eway Bill APIs and E-Invoicing APIs etc.
- Logging and keeping records of customer/employee queries
- Analysing call logs so you can spot common trends and underlying problems, to guide support team
- Updating self-help documents or preparing FAQ’s, to build knowledge base of support team on issues raised by ASP Partners and Corporates.
- Ensure timely response to customers with accurate guidance for issue resolution, by measuring the performance of support team on response SLA and quality of response.
- Manage ongoing interaction with key client relationships to build the relationship to level of being the preferred and only service provider for GST compliance requirements.
- Manage monthly billing operations across customer portfolio – including a good control on receivable ageing and reporting to management on realization delays which require management intervention.
- Manage regular interaction with GST Network for customer issues. Build a strong relationship with GST Network to achieve quicker turnaround from GSTN on deliverables.
- Keep a close watch on any updates from GSTN and/or the ASP-GSP ecosystem, to convey relevant updates to our customer portfolio.




