Software Engineer (ML Platform)

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  You will play a central role in fine-tuning open-source Large Language Models (LLMs) and other Generative AI Models, retraining these models with domain-specific data to create specialized AI solutions
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  This is an opportunity to be a founding member of an innovative startup shaping the future of AI accessibility
• , keyResponsibilities:["Develop and maintain scalable and efficient containerized applications and services using Kubernetes
• Work with serverless frameworks on Kubernetes, including Knative, to optimize resource usage and reduce latency
• Write clean, maintainable, and efficient code primarily in Python and Go
• Automate the deployment of ML models in production at scale, utilizing serverless frameworks
• Assist in the continuous improvement of our AI and ML apps platform, ensuring high performance and responsiveness
• Work closely with end-users and product analysts to integrate new features and technologies, focusing on customer success and usability
• Lead the system design and architecture discussions, advocating for best practices in high-scale environments
• "],skills:["0-5 years of experience in software development, with a focus on Kubernetes and containerization technologies
• Proficiency in Python, Go, or any other popular programming languages
• Expertise in deploying and managing serverless architectures, preferably on Kubernetes (such as Knative)
• Knowledge on deploying/serving ML models in production using any serverless frameworks on Kubernetes (such as Kserve, Seldon, Triton)
• Experience in database technologies such as PostgreSQL (or any other SQL), and MongoDB (or any other NoSQL)
• Experience in search systems such as Elasticsearch
• Proficiency in implementing user authentication and authorization (AuthN/AuthZ), including understanding of OAuth, OpenID Connect, and JWT
• Experience with implementing secure access controls in web applications
• Strong problem-solving skills and attention to detail
• "] , additionalSkills:["Experience with cloud services (Google Cloud Platform, Azure, AWS)
• Familiarity with CI/CD pipelines and DevOps practices
• Understanding of HTTP/REST APIs and microservices architecture
• Basic understanding of Machine Learning and Artificial Intelligence concepts
• Knowledge of ML model serving concepts and frameworks
• "] , coreQualities:["Insatiable Hunger: A profound desire to build a global product and business that has the potential to impact billions worldwide

Your ambition is to challenge and revolutionize multiple industries using AI.User-Centric Focus: A singular commitment to the success of the end-user.
You understand that the users success is the only means for our success, and you design and develop with this as your core principle.Startup Agility: A genuine enjoyment of the startup environment.
Youre adaptable, eager to wear various hats, and actively contribute to product decisions and usability.
In our dynamic setting, flexibility and a can-do attitude are crucial.Relentless Pursuit of Excellence: In the face of competition from tech giants, you remain undeterred.
Your tenacity ensures our product not only competes against Goliaths but excels in the market.Adaptive & Inclusive Leader: You are a champion of diverse thought and continuous learning, fostering an environment where varied perspectives are celebrated and every self-learning opportunity is embraced.
You promote a flat organizational structure that values merit and contribution over hierarchy, ensuring quick and right decisions.Passionate about AI & Technology: Your enthusiasm for technology and AI is infectious, contributing to an atmosphere of innovation and continuous improvement.Visionary Builder: Youre not just joining a company; youre becoming part of a team that aspires to build the next global tech giant.
This journey begins here, in India, and youre excited to be a key member of it.