What is Mesh?

• inculcating the habit of regular check-ins into goals and employee 1:1s
• enabling continuous feedback and constructive advice throughout the organisation
• performance review in a way that allows companies to focus on employee development, growth, and engagement – yielding stronger employee retention, performance, and impact on the bottom line.

About the company

• Incorporated in 2020, Mesh is a B2B tech startup based out of US and India 
• We are backed by top VC firms such as YC, Peak XV and RTP Global
• 50+ customers across the world such as Canon, Comcast, Grant Thornton and Groww among others

What you’ll do

• Strategize with Product Leaders: Partner with Product Managers to conceptualize and deliver cutting-edge intelligence features that elevate our product's value. Experiment and iterate to validate your ideas.
• Integrate Seamlessly: Work closely with front-end and back-end engineering teams to ensure your solutions are smoothly integrated, delivering impactful features to our users.
• Own the Process: Take full ownership of your projects, from initial development through to deployment, upholding the highest standards of quality throughout.
• Continuously Improve: Implement robust feedback loops within your solutions, learning from user interactions to refine and enhance your models over time.
• Craft Elegant Code: Write clean, maintainable code with automated testing and deployment pipelines, ensuring a seamless and scalable workflow.
• Drive Timely Delivery: Manage your project timelines effectively, coordinating with cross-functional teams—including Product Managers, Front-end and Backend Engineers, and QA—to bring your innovations to production on schedule.
• Communicate Proactively: As a key member of a distributed team, excel in communication, documentation, and time management, ensuring you are always in sync with your colleagues.
• Monitor and Optimize: Set up and maintain vigilant monitoring for your services in production, allowing us to proactively address any issues and maintain seamless operations.

What you'll need

• Machine Learning Expertise: At least 2 years of hands-on experience in Machine Learning and Deep Learning, and overall professional experience of over 3 years, with a strong emphasis on deploying models and applications to production environments. A minimum of 1 year of experience with Large Language Models (LLMs), whether open or closed source, is highly preferred.
• Prompt Engineering: Proficiency in prompt engineering with LLMs, including experience in taking these solutions live in production.
• End-to-End ML Lifecycle Management: Demonstrated experience across the entire ML lifecycle—from model evaluation to collecting feedback from production, and implementing continuous improvements.
• Core ML Knowledge: Strong understanding of key ML concepts and metrics, such as precision, recall, F1 score, and class imbalance.
• Programming Proficiency: Solid working knowledge of Python and SQL, with a focus on writing clean, maintainable code and adhering to best engineering practices, including developing tests for AI solutions.
• Cloud and ML Operations: Experience with cloud platforms and deploying ML solutions within them, coupled with knowledge of DevOps and MLOps tools.
• Troubleshooting Skills: Proven troubleshooting and debugging skills, especially in live production systems.
• Problem-Solving Acumen: Ability to translate business challenges into effective ML solutions, particularly with LLMs.
• Continuous Learning: Keen ability to stay ahead of the curve with the latest advancements in AI, and apply relevant innovations to existing problems.
• Data Analysis & Communication: Strong data analysis and visualization skills, with the capability to present insights effectively to stakeholders.

• Fine-Tuning: Experience in fine-tuning Small Language Models (SLMs) and leveraging them alongside LLMs for data curation.
• Open Source Savvy: Familiarity with open-source deep learning models and their application in various projects.
• Microservices Development: Experience in coding and deploying Python-based microservices.
• AWS Experience: Practical experience working with AWS cloud services.

What else does Mesh have to offer? 

We’re so glad you asked!

• Competitive Salary and Equity: We offer a competitive salary package, including equity, to ensure our team is rewarded for their contributions.
• Family Health Insurance: We provide thoughtful benefits to support our employees' well-being and security, including family health insurance that covers your entire family at our expense.
• Investment in Growth: We believe in investing in our people's personal and professional growth. We provide ample opportunities for learning and development to help you expand your skills and advance your career.
• Prime Location and Top-Notch Amenities: Our new Gurgaon office is based in a prime location on Golf Course Road and is packed with top-notch office amenities that will assist you in maximizing productivity.