Binoloop | Machine Learning Engineer | india

4 days ago


india Binoloop Full time

Machine Learning Engineer at Binoloop  


Location: India (Remote) 


About Binoloop:  


 Binoloop is dedicated to revolutionizing decision-making through the development of autonomous AI agents. Our AI co-pilot, Tally, streamlines procurement evaluations by ensuring transparency and cutting evaluation times by 75%. We believe in the power of AI to transform businesses and drive better outcomes. Binoloop aims to become the trusted standard for responsible AI integration, ushering in a new era of streamlined and unbiased decision-making. 


Submit your resume on this link or your application won’t be considered:


Role Overview:  


We are seeking a motivated and tech-savvy Machine Learning Engineer with a keen interest in AI and Machine Learning. This internship will focus on developing and enhancing AI services, training machine learning models, and contributing to innovative AI-powered solutions. The ideal candidate will have a foundational knowledge of Machine Learning, experience in software development, and a desire to work with cutting-edge technologies in a dynamic startup environment. 


As part of this role, you will also contribute to an ongoing project involving the development of an agentic LLM. The LLM is designed to reason effectively and search for information across domain-specific data, both in internal databases and over the internet, ensuring it delivers accurate, context-driven responses. This project represents the forefront of applied AI in real-world decision-making processes. 


This opportunity is for candidates based in India only. 


 


Key Responsibilities:  


  • Developing and running Data ETL pipelines for scraping data across different websites. 
  • Working on ML software development for creating agentic workflows using frameworks like Langgraph, Langchain, etc. 
  • Developing benchmarks for AI models to assess and improve their performance. 
  • Performing experiments on new LLM methodologies , including LLM-as-a-judge approaches. 

 


Qualifications:  


  • Currently pursuing or recently completed a degree in Computer Science, Engineering, Data Science, or a related field. 
  • Strong understanding of Machine Learning concepts, algorithms, and frameworks. 
  • Familiarity with Large Language Models (LLMs) and deep learning architectures. 
  • Experience with programming languages such as Python, and familiarity with machine learning libraries (e.g., TensorFlow, PyTorch). 
  • Experience with implementing RAG and agentic workflows is a plus. 
  • Knowledge of cloud platforms (e.g., GCP) and containerization tools (e.g., Docker) is a plus. 
  • Experience with software development tools and workflows (e.g., Git) is a plus. 

 


Soft Skills:  


  • Strong analytical and problem-solving skills. 
  • Excellent communication and collaboration abilities. 
  • Self-motivated with a proactive attitude and a strong willingness to learn. 
  • Attention to detail and strong organizational skills. 
  • Ability to work effectively in a fast-paced, startup environment. 

 


Why Join Binoloop?  


  • Gain hands-on experience with AI, Machine Learning, and software engineering technologies. 
  • Work in a startup environment and be part of a visionary company at the forefront of AI and decision-making transformation. 
  • Opportunity to collaborate with experienced professionals and contribute to impactful projects. 
  • Play with LLMs, both on cloud and on-prem. 
  • Flexible work hours and the ability to work remotely. 


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