Hi,
Hope you are doing good,
Below are the Urgent Requirement can close in a week – Need H1b Consultants only.
Note: Need LinkedIn, Passport Number, Direct Contact along with H1B & DL Copies for Submission
Need H1B Consultants only.
Job title: AI/ML Research Engineer
Location: San Jose CA (Onsite)
Duration: Long Term
Client: Tech M/Google
Key points:
– Must have genuine experience of at least 4 years as AI/ML Engineer
– Masters degree
– Must have excellent communication skills and fast learner
Al/ML Research Engineer – Job Description
Seeking a SWE with Al/ML/Gen Al/ Prompt engineering experience with hands-on coding in C++/python. Working on production level coding in Python/C++ is preferred
Machine Learning Prerequisites
Overview of ML explaining life cycle like Data Acquisition->Cleaning-> Training a model > Testing a model->Evaluating a model
Knowledge on deploying models on mobile devices iOS/Android
Knowledge on C++ for custom functions and writing unit test cases.
Strong debugging skills on C++/Python code.
Basic jargons of ML which include Cost functions, Gradient Descent, Back Propagation,
Activation functions etc
Supervised, Unsupervised, Reinforcement learning
Classifications and Regression
Using Datasets
Types of algorithms like Decision Tree, K means etc
Using scientific Python libraries numpy, pandas, matplotlib, scikit-learn
Importing data in python, clean, preprocess data and manipulate data frames with pandas
Neural networks, CNN, RNN/LSTM, LLM, Generative Al, Prompt engineering
Minimum Qualifications
Masters degree/PhD in Computer Science & Data Science/Al ML or a related technical field or equivalent practical experience.
2+ years of work experience in Machine Learning or Artificial Intelligence using tensorflow and Keras or equivalent. Working knowledge with Generative Al, LLM products like Gemini, Ollamma, Mistral or Open Al etc is a must.
Knowledge in Prompt engineering, Gemma and/or Gemini is a plus
Strong debugging skills on C++/Python code.
Basic jargons of ML which include Cost functions, Gradient Descent, Back Propagation Activation functions etc
Supervised, Unsupervised, Reinforcement learning
Classifications and Regression
Using Datasets
Types of algorithms like Decision Tree, K means etc
Using scientific Python libraries numpy, pandas, matplotlib, scikit-learn
Importing data in python, clean, preprocess data and manipulate data frames with pandas
Neural networks, CNN, RNN/LSTM, LLM, Generative Al, Prompt engineering
Minimum Qualifications
Masters degree/PhD in Computer Science & Data Science/Al ML or a related technical field or equivalent practical experience.
2+ years of work experience in Machine Learning or Artificial Intelligence using tensorflow and Keras or equivalent. Working knowledge with Generative Al, LLM products like Gemini, Ollamma, Mistral or Open Al etc is a must.