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- Utilize telephone solicitation, electronic and written correspondence and face-to-face meetings as tools in order to reach and exceed the budgeted sponsorship target for each exhibition/event.
- Research and develop a list of potential sponsors for each exhibition/event.
- Research and develop a list of potential exhibitors when required.
- Develop and maintain relationships with existing and potential sponsorship clients.
- Keep precise records of conversations with all clients, sponsors and exhibitors.
- Update the company database as required.
- Invoice sponsors and exhibitors once agreements have been reached.
- Assist in preparing promotional material to advertise sales opportunities.
- Delegate administrative functions to assistants when possible.
- Experience in International voice process in sales will be an added advantage.
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 seeking a detail-oriented and technically strong AI QA Engineer to ensure the quality, reliability, and performance of Large Language Model (LLM)-based systems. In this role, you will be responsible for designing and executing test strategies, validating model outputs, and building evaluation frameworks to enhance the accuracy, safety, and overall performance of AI-driven applications.We would particularly value candidates who have hands-on experience in developing evaluation frameworks (evals) for AI systems, along with strong expertise in comprehensive system testing and quality assurance practices.You are responsible for making MeltPlan work in the real world.
What You'll Do:
- Design, develop, and execute evaluation frameworks (Evals) for Large Language Models (LLMs) and AI systems.
- Perform end-to-end system testing, regression testing, and performance testing for AI-driven applications.
- Validate model outputs for accuracy, consistency, safety, hallucination detection, and edge cases.
- Build automated test pipelines and quality benchmarks for AI systems.
- Collaborate closely with AI/ML engineers, product teams, and platform engineers to improve system reliability.
- Analyze failures, identify root causes, and provide actionable feedback to improve model behavior.
- Develop datasets, prompts, and testing scenarios to measure model performance across multiple use cases.
- Monitor production performance and continuously improve evaluation metrics and testing standards.
- Ensure compliance with responsible AI and quality assurance best practices.
What We're looking for:
- Bachelor’s degree in Computer Science, Engineering, or related field
- 5–7 years of experience in QA/testing, preferably in AI/ML or data-driven systems
- Strong experience in AI/LLM evaluation frameworks and system testing.
- Hands-on experience with automated testing methodologies and QA processes.
- Familiarity with prompt engineering, AI benchmarking, and model validation techniques.
- Experience working with Python and testing frameworks.
- Understanding of LLM behaviors, hallucinations, prompt injection risks, and AI safety concepts.
- Exposure to tools/frameworks such as OpenAI Evals, LangSmith, DeepEval, Promptfoo, or similar platforms is preferred.
- Strong analytical and debugging skills with attention to detail.
- Excellent collaboration and communication skills.
- Familiarity with Large Language Models and Generative AI concepts
- Experience with API testing tools (e.g., Postman) and automation frameworks
- Understanding of NLP concepts such as tokenization, embeddings, and text generation
- Strong analytical and problem-solving skills
- Experience testing AI/ML models or data pipelines
- Experience with prompt engineering and prompt testing
- Familiarity with cloud platforms (AWS, GCP, or Azure)
- Exposure to AI safety, bias detection, and model governance
Bonus if you have:
- Have worked in construction or on project sites
- Have startup experience
- Experience working with Generative AI or conversational AI products.
- Knowledge of CI/CD pipelines and automation workflows.
- Prior experience in performance testing and monitoring distributed systems.
- Understanding of AI product lifecycle and production deployment 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
Job Summary:
Seeking an experienced Senior Data Engineer to lead data ingestion, transformation, and optimization initiatives using the modern Apache and Azure data stack. The role involves working on scalable pipelines, large-scale distributed systems, and data lake management.
Core Responsibilities:
· Build and manage high-volume data pipelines using Spark/Databricks.
· Implement ELT frameworks using Azure Data Factory/Synapse Pipelines.
· Optimize large-scale datasets in Delta/Iceberg formats.
· Implement robust data quality, monitoring, and governance layers.
· Collaborate with Data Scientists, Analysts, and Business stakeholders.
Technical Stack:
· Big Data: Apache Spark, Kafka, Hive, Airflow, Hudi/Iceberg
· Cloud: Azure (Synapse, ADF, ADLS Gen2), Databricks, AWS (Glue/S3)
· Languages: Python, Scala, SQL
· Storage Formats: Delta Lake, Iceberg, Parquet, ORC
· CI/CD: Azure DevOps, Terraform (infra as code), Git
Senior Data Engineer (Apache Stack + Databricks/Synapse)
Share cv to
Thirega@ vysystems dot com - WhatsApp - 91Five0033Five2Three
Front-End Developer
Experience 3-8 years
Job Qualifications and Skill Sets(T3-T4)
T3:
1. Technical points: you need to master js css html, the front-end framework needs to master react, know the various hooks of the react function component, and be able to implement the hooks yourself.
2. Able to restore 100% of the UI design draft and consider various compatibility issues when implementing web page layout. Able to reuse various components.
3. Able to handle various compatibility issues on the h5 side, and compatibility issues on the web side such as safari chrome and other mainstream browsers
4. Have a solid foundation in JS, do not write random codes, know how to correctly implement requirements, and write correct codes that are highly maintainable and will not affect other modules. Understand the browser's asynchrony and event loop and be able to quickly locate problems.
5. Have motivation and enthusiasm for learning, be able to accept knowledge that you do not have, and learn quickly.
T4:
1. Understand how to write high-performance react code. Be proficient in js language specifications. Pursue clean code.
2. Familiar with web security knowledge and able to use technical specifications to prevent security vulnerabilities
3. Have experience in front-end architecture of front-end websites. Have built front-end architecture.
4. Solved various mobile phone compatibility issues and was able to quickly locate problems.
5. Broad knowledge. Able to take over various tasks, including hybrid app, electron, webclip, pwa.
6. Good communication skills, able to solve various daily problems through communication.
7 Love learning and have an exploratory spirit for unknown technologies.
8. Able to guide employees below T3 and lead the team to improve code quality and improve work efficiency.
Note: Kindly apply only if your open to Work from Office Bangalore and available to join immediate to 10 days.
Interested candidates connect @Bhavani P on the LinkedIn
or message your number/ id on the cut short chat.
- A hands-on full-stack engineer to join the core team with experience in building products from scratch into large-scale platforms and solving business problems leveraging new and innovative technology
- Leverage the DevOps team to ensure the product can be built, deployed, and tested across all of the release cycles from dev to production
- Strong grasp of modern security principles and how to apply them to applications
- Work with stakeholders (product owners, project managers, and scrum masters) to define and clarify requirements.
- Hands-on development with both front-end, middle-tier, and back-end programming
- Adhere to agile development methodologies
- Experience in Node.js, Javascript and Javascript libraries, NOSQL databases, Python etc
Designation: Python/Django Developer (Backend)
Department: Software Engineering Team
Location: Whitefield (Bangalore)
Qualification: Any Computer (Graduate or Post Graduate)
Experience: 3+ years of relevant experience in building functional and efficient server-side applications using Python/Django with 2+ years of relevant experience in working with RDBMS.
Responsibilities:
- Help design and implement functional requirements
- Build efficient back-end features in Python
- Integrate front-end components into applications
- Manage testing and bug fixes
- Prepare technical documentation
- Collaborate with UX/UI designers to implement design into the code
- Coach junior team members
- Implement software enhancements and suggest improvements
Skills Required:
- Experience with Python frameworks (e.g. Django, Flask, FastAPI)
- Familiarity with Amazon Web Services (AWS) cloud technologies
- Excellent understanding of REST API Development and HTTP Methods
- Understanding of databases and SQL
- Good experience in working with RDBMS
- Good understanding of computer science fundamentals - data structures, algorithms, memory management, performance.
- Knowledge of web stack - javascript, html, web frameworks like React.js is a plus
- Good understanding of Good Troubleshooting experience and exposure
- Ability to work with Jr engineers, mentor, guide and help them
- Enjoys coding and problem solving
- Good communication skills. Ability to express ideas clearly and concisely
- Familiarity with code versioning tools (such as Git, SVN, and Mercurial)
Salary: Upto 21LPA (Negotiable)
IMMEDIATE JOINING PREFERRED!
Strong prospecting skills and ability to engage CXOs and Founders in building a value proposition for Salesforce 360 platform.
High motivation, resilience, positive attitude and ambition to build a career at Salesforce
Very strong communication skills with ability to build influential relationships and deliver results in a cross-functional environment
Very strong business acumen, interest in technology and how it’s shaping businesses.
Ability to understand customer needs and meet that need with a successful product sale
Ability to multi-task, take initiative, prioritise, and manage time effectively
Comfortable working in a fast-paced and dynamic environment
Willingness to advance in our organisation by demonstrating their ability to be tenacious selfstarters every day.
Our startup is building an AI based decentralized marketplace for the travel industry. Its founded by technologists, marketeers, and PhD/IITians from Google, Airbnb, Agoda etc.
We're looking to bring a Scala backend engineer with experience on reactive actor system using Akka/Akka-streams. The individual will be part of our Europe based core team where individual team members have 20+ years experience each. Individual must've been hands on with scalable platform development and capable of individual contribution as well.
- Experience with relational SQL & NoSQL databases including MySQL & MongoDB.
- Familiar with the basic principles of distributed computing and data modeling.
- Experience with distributed data pipeline frameworks like Celery, Apache Airflow, etc.
- Experience with NLP and NER models is a bonus.
- Experience building reusable code and libraries for future use.
- Experience building REST APIs.
Preference for candidates working in tech product companies
Who We Are
Getir is a technology company, a pioneer of the online ultra-fast grocery delivery service business, that has transformed the way in which millions of people across the world consume groceries. We believe in a world where getting everything you need, when you need it, sustainably, is the new normal.
Getir is growing incredibly fast in Europe, but we want to grow globally. From London to Tokyo, Sao Paulo to New York, our global ambitions can only be accomplished with exceptional technology.
If you've got the experience and the ambition to be a Database Administrator (Postgres) at Getir and a founding part of our technology hub in Bangalore, please apply.
What you’ll be doing:
- Work with engineering and other teams to build & maintain our database requirements and answer big data questions
- Use your past DBA experience and industry wide best practices to scale and optimize the database services.
- Regularly conduct database health monitoring and diagnostics
- Create processes to ensure data integrity and identify potential data errors.
- Document and update procedures and processes.
- Troubleshoot and resolve problems as they arise
What we look for in you:
- You have A Bachelor’s degree in Computer Science, Computer Engineering, Data Science, or another related field.
- 3+ years of experience as a Database Administrator
- Proficiency administering PostgreSQL
- Extensive experience performing general troubleshooting database maintenance activities including backup and recovery, capacity planning, and managing user accounts.
- Experience in identifying and documenting risk areas and mitigation strategies for process and procedure activities.
- Experience in managing schemas, indexing, objects, and partitioning the tables.
- Experience in managing system configurations.
- Experience creating data design models, database architecture, and data repository design.
- Strong understanding of SQL tuning and optimization of query plans.
- Linux shell scripting skills and experience with production Linux environments
- Experience working with software engineers in a highly technical environment.
- Knowledge of 1+ programming language (e.g. C++, Scala, Java, JavaScript etc.)
- Excellent verbal and written communication skills.
- Knowledge administering MongoDB (Good to have)
- Knowledge administering Amazon RDS for PostgreSQL & Redshift. (Good to have)





