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Hands-on with LLMs (In previous projects) and worked on product development using LLMs
· Experience with Chat, IVR, and Banking will be a plus
· Hands-on experience with Vector Database & Graph DB (Pinecone, Milvus, Neo4j) and ability to create effective embedding, chunking, and indexing for RAG
· Good understanding and experience using the Transformer/Neural Network model
· Hands-on experience using Open AI APIs, Open Source LLMs (Llama2, Mistral, Mixtral, etc.,)
· Solid understanding on frameworks like Langchain, and Haystack and ability to use Agentic Workflows using those frameworks (hands-on exp/research exp will be a plus)
· Hands-on experience in creating Embedding using MPNET, Ada models
· Ability to use advanced techniques like HyDE, MMR, LLM reranking for effective semantic search
· Fast API, building API, create microservice using python
Full Time
$108k-134k (estimate)
05/01/2024
07/19/2024
The job skills required for Machine Learning Engineer include API, Python, Open Source, SQL, Communication Skills, etc. Having related job skills and expertise will give you an advantage when applying to be a Machine Learning Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Machine Learning Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Machine Learning Engineer positions, which can be used as a reference in future career path planning. As a Machine Learning Engineer, it can be promoted into senior positions as a Software Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Machine Learning Engineer. You can explore the career advancement for a Machine Learning Engineer below and select your interested title to get hiring information.