Senior Machine Learning Engineer

Thank you for considering the Senior Machine Learning Engineer position at Reveal Health Tech. We are an early-stage IT startup based in the US and India, focused on leveraging technology to deliver transformative healthcare solutions.

Location: Bengaluru, India

ABOUT THE ROLE

As a skilled Senior Machine Learning Engineer specializing in GenAI and NLP, you will work with a cross functional team responsible for the continued development and scaling of a high-profile Gen AI product at a large biotechnology company. Working with the team you will design, prototype, develop, and optimize AI solutions in support of new feature development and refinement of existing workflows.  

Requirements

Key Responsibilities:

• Contribute to solving business problems with cutting-edge AI solutions and innovate on ways to improve cost-efficiency and reliability of those solutions 

• Collaborate with cross-functional teams to gather requirements and ensure seamless integration with the rest of the ecosystem. 

• Focus on practical AI challenges such as improving reasoning and evaluation in real-world scenarios. 

• Research and stay up-to-date on the latest advancements in generative AI technologies and methodologies. 

• Document architectures, processes, and technical decisions. 

• Experience scaling user-interactive RAG solutions to operate quickly on millions of documents. 

• Design and develop AI tools that can be called via API or through batch transformations for large datasets. 

• Implement end-to-end solutions for batch and real-time algorithms along with tooling around monitoring, logging, automated testing, and performance testing.  

Desired Qualifications 

Please note that while you do not need to be an expert in every area, being familiar with most of the following is important. We are looking for someone who can effectively integrate everything, with team support to fill any gaps.  

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. 
• Proficiency in basic machine learning concepts and methods, especially those related to GenAI and NLP 
• Strong knowledge of ML/Gen AI services and libraries, such as AWS SageMaker, AWS Bedrock, PyTorch 
• Experience using opensource LLMs 
• Strong knowledge of Python, SQL, and additional data processing languages. 
• Experience in AWS (e.g., EC2, Lambda, RDS) for data processing and back-end applications. 
• Experience with ETL tools (e.g., Apache Spark, Airflow), data modeling/warehousing and CI/CD tools is a plus. 

How you will enrich us?

• Energetic and enthusiastic
• Autonomous and self-motivated
• Growth mindset
• Embraces challenges
• Building new things gets your blood pumping!
• Curiosity and deep interest in the world
• Challenges the status quo constructively

Benefits

What do you get in return?

• Be part of a growing/amazing team - A great opportunity to be part of 0-1 of a new age technology services & product engineering company in a risk-adjusted environment with high upside for initial members.
• Trust over control - We believe in strong business fundamentals and possess vision for scale from day 1. Truly, people are our greatest winners and we want to make sure your full potential is met in the job.
• Numerous on-the-job-and-beyond learning opportunities - We already have a curated list of courses you can dive right in!
• Industry best compensation and benefits

Next Steps

• Send us your updated CV - if you can mention how you have enriched your previous organisation in a cover letter, that would be great!
• If we find your profile suitable, we will have our Talent personnel to reach out to you to understand your profile/interests and how best we can align mutually.
• You would have two tasks - a computer-based reasoning test and a technical case study followed by a job-based interview in the next rounds.
• Finally, you would have a chat with our founder to understand more about us and see if this is the right next career move!