ML Engineer

About Us

Binocs.co empowers institutional lenders with next-generation loan management software, streamlining the entire loan lifecycle and facilitating seamless interaction among stakeholders.

Team: Binocs.co is led by a passionate team with extensive experience in financial technology, lending, AI, and software development.

Investors: Our journey is backed by renowned investors who share our vision for transforming the loan management landscape: Beenext, Arkam Ventures, Accel, Saison Capital, Blume Ventures, Premji Invest, and Better Capital.

Responsibilities

We seek a motivated, brilliant, and passionate AI Engineer who is excited about using AI to solve real-world problems and create impactful products. If you're someone who is never satisfied with the status quo, loves to challenge existing norms, and is passionate about AI, especially in the field of prompt engineering with Large Language Models (LLMs) like ChatGPT, we want you on our team.

Responsibilities:

• Spearhead the development and integration of AI technologies within our digital platform, focusing on LLMs like ChatGPT.
• Work closely with the product and development teams to embed AI capabilities that enhance user experiences and business outcomes.
• Innovate and implement prompt engineering techniques to refine and optimize interactions with LLMs.
• Collaborate in High-Level Designs (HLDs) and Low-Level Designs (LLDs), ensuring AI solutions are scalable and robust.
• Mentor and lead discussions on best practices in AI development, staying ahead of the curve in AI trends and technologies.
• Ensure the reliability, security, and performance of AI implementations.
• Dive into new AI domains, showing a willingness to explore and master emerging AI technologies.

Qualifications

• Pursuing BE/BS/BTech/ME/MS/MTech in Computer Science, Engineering, or a related field from top-tier universities.
• Relevant Projects/Internship in AI development, with a specific focus on prompt engineering with LLMs like ChatGPT.
• Demonstrated proficiency in programming languages relevant to AI development and a passion for coding.
• Solid understanding of AI principles, machine learning models, and the ability to apply them in creating impactful solutions.
• Knowledge of deep learning for computer vision and (or) NLP
• Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and understanding of deploying AI solutions at scale.
• Knowledge of DevOps practices for AI, including continuous integration and deployment (CI/CD) for AI models.

Good to have

• Practical experience with microservices architecture and serverless computing.
• Contributions to open-source projects or active engagement in AI development communities.
• Experience in working with LLMs and AI technologies beyond prompt engineering.