Machine Learning Engineer Job in Bangalore at HealthifyMe

HealthifyMe is hiring for the role of Machine Learning Engineer!

Responsibilities of the Candidate:

• Implement technology solutions using Large Language Models (LLMs) like GPT
• Use LLMs in conjunction with other domain-specific models like Vision, NLP, Speech recognition, Image generation
• Setup integrations with hosted LLMs using various cloud providers (AWS+HuggingFace, Azure+OpenAI, Google+Bard)
• Set up and integrate hosted LLM models. Enhance the hosted LLM models with proprietary data
• Write APIs using Python/Go to enhance and Integrate with existing API infrastructure
• Design Prompts that provide appropriate responses. Use various prompt engineering methods (introspection, chain-of-thought, instruction prompting)
• Work with data teams to collect and organize the data needed for the task at hand
• Ensure that best practices are followed in solving AI problems including thorough problem analysis, prior research understanding, persistent experimentation and documentation, rapid prototyping and extensive testing
• Help in filing for patents and publishing research papers at AI conferences
• Document learnings from experiments and share them with the ML engineering team
• Use Copilot/CodeWhisperer in developing code and create a “cookbook” for good code generation

Requirements:

• Must have:
  • Hands-on industry experience of 1 to 2 years working in machine learning and deep learning or related fields
  • Sound understanding of Deep Learning in at least two AI problem domains, preferably,  Computer Vision, NLP/NLG using LLM, and Time Series Forecasting
  • Having a strong mathematical background in linear algebra, probability, and calculus
  • Familiar with machine learning frameworks such as PyTorch or TensorFlow, Keras
  • Proficient in Python-based programming
  • Understanding of modelling a problem into a Deep Learning framework
  • Exposure to building, measuring and iterating on neural network architectures that effectively solved the problem
  • Experience working in a product-based startup environment
  • Understanding of pipelines to monitor, extract, index, build and tune ML and NLP models
  • Experience working in collaborative software development environments including the use of git, peer code review and independent authorship of well-tested, maintainable and documented code 
• Nice to have:
  • Data Management:
    • Defining validation strategies
    • Defining the pre-processing or feature engineering to be done on a given dataset
    • Defining data augmentation pipelines
  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
  • Working proficiency with SQL relational databases, and data warehouse