Graphic Designer

CLOUDSUFI is a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance. 

Job type - Fulltime / Contract

Summary

We are looking for a Senior MLOps Engineer to support the AI CoE in building and scaling machine learning operations. This position requires both strategic oversight and direct involvement in MLOps infrastructure design, automation, and optimization. The person will lead a team while collaborating with various stakeholders to manage machine learning pipelines and model deployments in GCP / AWS / Azure. One of key parts of this role would also be managing data and models using data cataloging tools, ensuring that they are well- documented, versioned, and accessible for reuse and auditing.

Job Description:

⮚ Deploy models to production in GCP and own the model maintenance, monitoring and support activities

⮚ Split time between high-level strategy and hands-on technical implementation

⮚ Architect, build, and maintain scalable MLOps pipelines, with a focus on GCP / AWS / Azure services such as Vertex AI, GKE, Cloud Storage, and Big Query; stay up-to-date with the latest trends and advancements in MLOps

⮚ Implement and optimize CI/CD pipelines for machine learning model deployment, ensuring minimal downtime and streamlined processes

⮚ Work closely with data scientists and data engineers to ensure efficient data processing pipelines, model training, testing, and deployment

⮚ Manage data catalog tools for model and dataset versioning, lineage tracking, and governance. Ensure that all models and datasets are properly documented and discoverable

⮚ Develop automated systems for model monitoring, logging, and performance tracking in production environments

⮚ Lead the integration of data cataloging tools (e.g., Open MetaData), ensuring the traceability and versioning of both datasets and models.

Required Experience:

⮚ Bachelor’s degree in Computer Science, Engineering or similar quantitative disciplines

⮚ 4+ years of professional experience in MLOps or similar roles

⮚ Candidate should be able to able to write code in ML

⮚ Excellent analytical and problem-solving skills for technical challenges related to MLOps

⮚ Excellent English proficiency, presentation, and communication skills ⮚ Proven experience in deploying, monitoring, and managing machine learning models on GCP / AWS / Azure

⮚ Hands-on experience with data catalog tools

⮚ Expert in GCP / AWS / Azure services such as Vertex AI, GKE, BigQuery, and Cloud Build, Endpoint etc for building scalable ML infrastructure (GCP / AWS / Azure official Certifications are a huge plus) ⮚ Experience with model serving frameworks (e.g., TensorFlow Serving, TorchServe), and MLOps tools like Kubeflow, MLflow, or TFX

Company Description

We are an SF-based stealth mode AI startup, building AI agents and automation tools for Marketing use-cases. We are ex-Big Tech, currently bootstrapped and working with a few design partners/early customers. We will be starting a fundraise in Q3 2024.

Role Description

This is a part-time remote role for a Founding Engineer (first engineering hire). This is an equity-only role, meaning compensation will be in the form of equity rather than a salary.

This role will be 30% applied research and 70% product engineering. The expectation is that you will be able to commit 15 hours per week for this role to begin with.

You will -

• Experiment with the latest AI technologies and research and put them into implementation.
• Have the freedom and responsibility to design and own projects from start to finish.
• Have opportunities to directly talk with customers and solve their problems!

About you

• Love to keep up with and dive into latest technologies in AI
• Move fast, ship quickly, has high urgency
• Energized about going from 0 to 1
• Enjoy high ownership and responsibility
• Familiar with no-code tools and frameworks
• Excited about working on AI-native user experiences

Requirements

• Bachelor’s or higher degree in Computer Science or a related field (Also open to university students for the right candidate)
• Knowledge of gen-AI systems (LLMs, model training/fine-tuning, agent frameworks, evaluation frameworks, vector DBs, RAG, etc)
• Experience in building and scaling backend systems and infrastructure
• Strong generalist, skilled with Python, cloud infrastructure (AWS).

What we offer

• Technical Ownership: You will own high level (and lower level) technical decisions for an early-stage startup, with mentorship from seasoned Engineering leaders from Silicon Valley.
• Equity: As a key initial hire, you will receive significant founding equity and ownership in the company.
• Growth: You will have a natural on-ramp to come onboard as a full-time, salaried Founding Engineer after a fundraise event.

Fresh graduates or up to 4 years of experience in HR role

Startup experience preferred

Manage hiring and day to HR operations of our engineering team

• Creating long-form sales page copy about a variety of Ayurvedic products and services for foreign markets (i.e. USA and EU)
• Creating ad concepts and ad copies for said products and consumers
• Researching Ayurvedic background and benefits of ingredients used in the organization’s products
• Researching company’s target audience’s interests and needs
• Creating highly valuable informational pieces that convert into sales
• Staying up-to-date with latest trends in USA and EU regarding skincare, health and wellness
• Creating mind-blowing value for our customers

• Ensuring compliance with law (e.g. copyright and regulatory bodies)

Ruby on Rails Developer Responsibilities:
• Designing and developing new web applications.
• Maintaining and troubleshooting existing web applications.
• Writing and maintaining reliable Ruby code.
• Integrating data storage solutions.
• Creating back-end components.
• Identifying and fixing bottlenecks and bugs.
• Integrating user-facing elements designed by the front-end team.
• Connecting applications with additional web servers.
• Maintaining APIs.
Ruby on Rails Developer Requirements:
• Bachelor’s degree in Computer Science, Computer Engineering, or related field.
• Experience working with Ruby on Rails as well as libraries like Resque and RSpec.
• Ability to write clean Ruby code.
• Proficiency with code versioning tools including Git, Github, SVN, and Mercurial.
• Experience with AngularJS or BackboneJS.
• Familiarity with MVC, Mocking, RESTful, and ORM.
• Good understanding of front-end technologies including HTML5, JavaScript, and CSS3.
• Knowledge of server-side templating languages including Slim and Liquid.

• Databases- MongoDb, Postgres. 

Job Description:

Skills Required:

• Backend developer with hands-on programming experience in Node Js / Python / Golang
• Expertise in developing REST APIs with any backend framework using above languages.
• Expertise in system design & architecture patterns.
• Experience in building reusable code and libraries for future use.
• Experience in optimising application for maximum speed and scalability.
• Strong fundamentals in computer programming, data structure & algorithms.
• Exposure to AWS services like S3, CloudFront, CloudWatch, lambda & API gateway.
• Good understanding for SQL & NoSQL dB’s, preferably work experience with MongoDB.