Machine Learning Engineer/Data Science Engineer

Matrix Media is building a Machine Learning team using LLM(large language Model) cased solutions. Our ML team deliver professional services in building, design and set up the Machine learning platform, production of the model data pipeline and deploy the model efficiently. Our company is right fit for you if you love working on latest trends of ML including LLMs, MLOps. We provide training as and when to upgrade their knowledge in various ML based platform.

Job Requirement:

• Experience with some of latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI
• Minimum 1+ years of hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, scikit-learn, gensim, nltk, and TensorFlow/PyTorch
• Preferred to have some experience building production-grade machine learning deployments on AWS, Azure, or or Databricks.
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through ML
• Experience creating and maintaining APIs/web services
• Experience working with git-based source control on a development team, Ability to travel at short notice.

Customer fronting work You will :

• Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation
• Build, scale, and optimize customer data science workloads and apply best in class MLOps to productionize these workloads across a variety of domains