Machine Learning Engineer W Accepted (Remote)

Salary: $USD 60 - $70 per Year
Job Type: Full time
Experience: Senior Level

Xcelo Group Inc

Machine Learning Engineer W Accepted (Remote)

Machine Learning Engineer W Accepted | Xcelo Group Inc | UnitedStates

Job Title: Machine Learning Engineer – W2(H1B/OPT) Accepted

Location: Dallas, TX (Remote)

Duration: Long Term

...

Machine Learning Engineer W Accepted | Xcelo Group Inc | United States

Job Title: Machine Learning Engineer – W2 (H1B/OPT) Accepted

Location: Dallas, TX (Remote)

Duration: Long Term

Experience: 6-10 Years


We’re searching for a skilled Machine Learning Engineer to design, develop, and deploy machine learning models that drive our data-driven solutions. You’ll collaborate with data scientists, software engineers, and product managers to bring innovative AI solutions to life.

Responsibilities:

  • Design, develop, and implement machine learning models and algorithms.
  • Preprocess and analyze large datasets to extract meaningful features.
  • Train, test, and validate machine learning models to ensure accuracy and efficiency.
  • Deploy machine learning models into production environments and monitor their performance.
  • Work closely with data scientists and product managers to understand requirements and translate them into technical solutions.
  • Optimize models for performance, scalability, and reliability.
  • Conduct code reviews and contribute to a collaborative development environment.
  • Troubleshoot and debug complex technical issues related to machine learning models.
  • Stay up-to-date on the latest advancements in machine learning and related technologies.

Qualifications:

  • 5+ years of experience as a Machine Learning Engineer.
  • In-depth knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Experience with data preprocessing, feature engineering, and model evaluation.
  • Proficiency in programming languages such as Python, R, or Java.
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services.
  • Proficiency in version control systems (Git) and familiarity with CI/CD pipelines.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.
  • Experience with deep learning, natural language processing, or computer vision is a plus.
  • Relevant certifications in machine learning or data science are a plus.

We look forward to meeting you!

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