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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