Machine Learning Engineer vacancy in Los-Angeles USA

Machine Learning Engineer


We are hiring a Machine Learning Engineer to join our team in Los Angeles. As a Machine Learning Engineer, you will be responsible for designing and implementing machine learning algorithms and models to solve complex business problems. You will work closely with data scientists and software engineers to build, test, and deploy machine learning solutions.

Responsibilities:
- Develop machine learning models and algorithms for predictive analytics, natural language processing, computer vision and other applications
- Collaborate with data scientists to preprocess data and identify relevant features for model training
- Work closely with software engineers to integrate machine learning models into production systems
- Monitor model performance and make necessary improvements or updates as needed
- Stay up-to-date with latest advancements in the field of machine learning and implement new techniques where applicable

Requirements:
- Bachelor's or higher degree in Computer Science, Data Science, or related field
- At least 2 years of experience as a Machine Learning Engineer or similar role
- Strong knowledge of Python programming language and popular ML libraries such as TensorFlow, PyTorch, or Keras
- Experience working with large datasets and building scalable machine learning systems
- Solid understanding of fundamental concepts of machine learning such as supervised/unsupervised learning, feature engineering, model evaluation etc.
- Familiarity with cloud computing platforms (AWS, Azure) is a plus

Salary:
We offer a competitive salary of $1500 per month.

Location:
This is a full-time position based in Los Angeles. Candidates from India or Nepal are preferred.

Benefits:
In addition to the salary, we also provide accommodation and visa sponsorship for international candidates. This is an urgent requirement so the selected candidate should be able to join immediately.

If you have a passion for solving complex problems using machine learning techniques and want to be part of an innovative team in Los Angeles, then apply now!