Machine Learning Engineer vacancy in Las-Vegas USA

Machine Learning Engineer
As a Machine Learning Engineer in our Las Vegas office, you will be responsible for designing, implementing, and maintaining machine learning models and algorithms. Your main goal will be to extract valuable insights and predictions from large datasets to improve our products and services. You will work closely with our data science team to identify business problems that can be solved with machine learning techniques. We are looking for a highly skilled individual with a passion for data-driven solutions and the ability to work independently in a fast-paced environment.

Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Collaborate with data scientists to identify business problems that can be solved using machine learning techniques.
- Clean, preprocess, and analyze large datasets.
- Train models using various techniques such as supervised learning, unsupervised learning, and deep learning.
- Deploy trained models into production environments.
- Monitor model performance and make necessary improvements.
- Stay up-to-date with the latest developments in the field of machine learning.

Requirements:
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field.
- Minimum of 2 years of experience working as a Machine Learning Engineer or Data Scientist.
- Strong programming skills in Python or R.
- Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
- Knowledge of data mining techniques and statistical analysis.
- Ability to work independently and in a team environment.
- Excellent problem-solving skills.

Preferred Qualifications:
- Experience with big data technologies such as Hadoop or Spark.
- Familiarity with cloud computing platforms such as AWS or Azure.
- Knowledge of natural language processing (NLP) techniques.

Salary: $1500 per month (negotiable depending on experience)
Location: Las Vegas
Visa sponsorship available for Indian candidates.