Machine Learning Engineer --Full-time (H1B/OPT Accepted)
Posted Today by 1764307276
Negotiable
Outside
Remote
USA
Summary: The Machine Learning Engineer role involves designing, developing, and deploying machine learning models to enhance data-driven solutions. The position requires collaboration with data scientists, software engineers, and product managers to implement innovative AI solutions. Candidates should have extensive experience in machine learning and be proficient in relevant technologies and programming languages. The role is remote but can also be based in Dallas, Texas.
Key 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.
Key Skills:
- 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.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
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!